Prompt: Show moisturizer sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize facewash sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Visualize soap sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize facewash sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Visualize toothpaste sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a histogram chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Visualize moisturizer sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read moisturizer sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Create a histogram chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Visualize toothpaste sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Visualize moisturizer sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Create a histogram chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read soap sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a histogram chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a histogram chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Read toothpaste sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Read toothpaste sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Read shampoo sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Visualize soap sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Read moisturizer sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a histogram chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Show shampoo sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a line chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Show facewash sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize facewash sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a scatter plot chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show facewash sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a bar chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read shampoo sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read shampoo sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read shampoo sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a pie chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Create a line chart chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a scatter plot chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a bar chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Create a histogram chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Visualize moisturizer sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Create a pie chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show shampoo sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show soap sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize shampoo sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Read facewash sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read facewash sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Visualize moisturizer sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize shampoo sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a scatter plot chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Visualize soap sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read facewash sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a bar chart chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Create a histogram chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Read shampoo sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read facewash sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize facewash sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Read toothpaste sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a bar chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Read facewash sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read soap sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize toothpaste sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read soap sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a bar chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Visualize soap sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a bar chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read toothpaste sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a bar chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Show soap sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data of each month and show it using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Create a bar chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Visualize shampoo sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a pie chart chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read facewash sales data and plot a scatter plot chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read toothpaste sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show soap sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Create a pie chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show facewash sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read shampoo sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show moisturizer sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Show soap sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Read shampoo sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a scatter plot chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Visualize toothpaste sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Read shampoo sales data of each month and show it using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Read moisturizer sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a histogram chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show()


Prompt: Read moisturizer sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a line chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for toothpaste sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize facewash sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Visualize facewash sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize soap sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Visualize shampoo sales data of each month with a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a bar chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Visualize toothpaste sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Create a bar chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a line chart chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize shampoo sales data of each month with a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize toothpaste sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a bar chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show()


Prompt: Show shampoo sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read facewash sales data and plot a histogram chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Create a pie chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize soap sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Visualize moisturizer sales data of each month with a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Visualize shampoo sales data of each month with a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show shampoo sales data of each month using a histogram.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show()


Prompt: Create a bar chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a scatter plot chart for shampoo sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Show moisturizer sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for moisturizer sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show()


Prompt: Read soap sales data of each month and show it using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read shampoo sales data of each month and show it using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show()


Prompt: Read facewash sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show moisturizer sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Read soap sales data and plot a pie chart chart for each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show facewash sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show facewash sales data of each month using a pie chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show()


Prompt: Read moisturizer sales data of each month and show it using a scatter plot.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a pie chart chart for soap sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show()


Prompt: Show soap sales data of each month using a bar chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Show toothpaste sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()


Prompt: Create a histogram chart for facewash sales data of each month.

Response:
import pandas as pd
import matplotlib.pyplot as plt

salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show()


Prompt: Show toothpaste sales data of each month using a line chart.

Response:
import pandas as pd
import matplotlib.pyplot as plt

monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
plt.xticks(monthList)
plt.grid(True, linewidth=1, linestyle="--")
plt.show()