Condition for Visualizing Data in Bar Chart in Python
Description:
Bar charts are used to represent categorical data with rectangular bars. The length or height of the bars is proportional to the values they represent.
Step-by-Step Process
Import Necessary Libraries:
Import libraries like matplotlib.pyplot and Seaborn for enhanced aesthetics.
Prepare the Data:
Organize your data in a format like lists, dictionaries, or DataFrames (from pandas).
Create the Bar Chart:
Use plt.bar() (from Matplotlib) or sns.barplot() (from Seaborn) to create the bar chart.
Customize the Chart:
Add labels, titles, colors, and adjust aesthetics as needed.
Display the Chart:
Use plt.show() to render the chart.
Sample Source Code
# Bar plot
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
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