Scatter plots with regression (regplot) in Data Analysis Python - Mini Project: Build & Apply

Scatter plots with regression (regplot)

📖 Scenario: You are a data analyst working with a small dataset of students' study hours and their exam scores. You want to visualize the relationship between study hours and exam scores using a scatter plot. Additionally, you want to add a regression line to see the trend clearly.

🎯 Goal: Create a scatter plot with a regression line using the seaborn library to visualize the relationship between study hours and exam scores.

📋 What You'll Learn

Create a dictionary called data with keys 'Hours' and 'Scores' and the exact values specified.

Create a pandas DataFrame called df from the data dictionary.

Create a variable called plot_color and set it to the string 'blue'.

Use seaborn.regplot with df['Hours'] as x, df['Scores'] as y, and color=plot_color to create the scatter plot with regression line.

Use plt.show() to display the plot.

💡 Why This Matters

🌍 Real World

Scatter plots with regression lines help analysts understand relationships between two variables, such as study hours and exam scores, to make data-driven decisions.

💼 Career

Data analysts and scientists often use scatter plots with regression lines to visualize trends and correlations in data, which is essential for reporting and predictive modeling.

1

Create the data dictionary and DataFrame

Create a dictionary called data with keys 'Hours' and 'Scores'. Set 'Hours' to the list [1, 2, 3, 4, 5, 6, 7, 8] and 'Scores' to the list [35, 40, 50, 55, 65, 70, 75, 80]. Then create a pandas DataFrame called df from the data dictionary.

Data Analysis Python

import pandas as pd
# Create the data dictionary and DataFrame
# Your code here

Hint

Use data = {'Hours': [...], 'Scores': [...]} and then df = pd.DataFrame(data).

2

Set the plot color

Create a variable called plot_color and set it to the string 'blue'.

Data Analysis Python

import pandas as pd

data = {'Hours': [1, 2, 3, 4, 5, 6, 7, 8], 'Scores': [35, 40, 50, 55, 65, 70, 75, 80]}
df = pd.DataFrame(data)
# Create a variable called plot_color and set it to 'blue'
# Your code here

Hint

Just write plot_color = 'blue'.

3

Create the scatter plot with regression line

Import seaborn as sns and matplotlib.pyplot as plt. Use sns.regplot with df['Hours'] as x, df['Scores'] as y, and color=plot_color to create the scatter plot with regression line.

Data Analysis Python

import pandas as pd

data = {'Hours': [1, 2, 3, 4, 5, 6, 7, 8], 'Scores': [35, 40, 50, 55, 65, 70, 75, 80]}
df = pd.DataFrame(data)

plot_color = 'blue'
# Create the scatter plot with regression line using sns.regplot
# Your code here

Hint

Use sns.regplot(x=df['Hours'], y=df['Scores'], color=plot_color).

4

Display the plot

Use plt.show() to display the scatter plot with regression line.

Data Analysis Python

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = {'Hours': [1, 2, 3, 4, 5, 6, 7, 8], 'Scores': [35, 40, 50, 55, 65, 70, 75, 80]}
df = pd.DataFrame(data)

plot_color = 'blue'

sns.regplot(x=df['Hours'], y=df['Scores'], color=plot_color)
# Display the plot
# Your code here

Hint

Use plt.show() to display the plot window.