Condition for Visualizing Data Using Scatter Plot in Python
Description:
A scatter plot is a graphical representation of two variables, where each point on the graph
represents an observation in the dataset. It is commonly used to visually inspect relationships
between two continuous variables, such as identifying patterns, trends, or correlations.
Step-by-Step Process
Install Libraries:
Ensure that matplotlib and/or seaborn is installed.
Prepare the Data:
Use real data or generate synthetic data.
Plot the Data:
Use the scatter plotting functions.
Customize the Plot:
Add titles, axis labels, and other visual elements.
Analyze the Plot:
Look for trends, correlations, or clusters in the data.
Sample Source Code
# Scatter plot
import pandas as pd
import matplotlib.pyplot as plt
plt.scatter(df['facecream'],df['total_profit'])
plt.title('Scatter Plot of Facecream')
plt.xlabel('Facecream sales in all months')
plt.ylabel('Total Profit')
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