Pie Charts and Histograms are commonly used visualizations in Data Analytics.
They help represent proportions and data distributions clearly.<\/p>\n\n\n\n
First, import Matplotlib:<\/p>\n\n\n\n
import matplotlib.pyplot as plt<\/pre>\n\n\n\n1. Pie Chart<\/h2>\n\n\n\n
A Pie Chart shows the proportion or percentage of categories in a dataset.<\/p>\n\n\n\n
Example: Market Share<\/h3>\n\n\n\n
companies = [\"Company A\", \"Company B\", \"Company C\", \"Company D\"]
market_share = [40, 25, 20, 15]plt.pie(market_share, labels=companies)
plt.title(\"Market Share Distribution\")
plt.show()<\/pre>\n\n\n\nAdding Percentage Labels<\/h3>\n\n\n\n
plt.pie(market_share, labels=companies, autopct=\"%1.1f%%\")
plt.title(\"Market Share Distribution\")
plt.show()<\/pre>\n\n\n\nExploding a Slice<\/h3>\n\n\n\n
explode = [0.1, 0, 0, 0]plt.pie(market_share, labels=companies, autopct=\"%1.1f%%\", explode=explode)
plt.title(\"Market Share Distribution\")
plt.show()<\/pre>\n\n\n\nWhen to Use Pie Chart:<\/p>\n\n\n\n
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- Showing percentage distribution<\/li>\n\n\n\n
- Comparing parts of a whole<\/li>\n\n\n\n
- Presenting simple categorical breakdown<\/li>\n<\/ul>\n\n\n\n
2. Histogram<\/h2>\n\n\n\n
A Histogram shows the distribution of numerical data.<\/p>\n\n\n\n
It groups values into intervals (bins).<\/p>\n\n\n\n
Example: Exam Scores Distribution<\/h3>\n\n\n\n
scores = [55, 60, 65, 70, 75, 80, 85, 90, 95, 60, 70, 80, 85]plt.hist(scores, bins=5)
plt.title(\"Exam Score Distribution\")
plt.xlabel(\"Scores\")
plt.ylabel(\"Frequency\")
plt.show()<\/pre>\n\n\n\nAdjusting Number of Bins<\/h3>\n\n\n\n
plt.hist(scores, bins=10)
plt.title(\"Exam Score Distribution\")
plt.show()<\/pre>\n\n\n\nWhen to Use Histogram:<\/p>\n\n\n\n
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- Understanding data distribution<\/li>\n\n\n\n
- Detecting skewness<\/li>\n\n\n\n
- Identifying outliers<\/li>\n\n\n\n
- Analyzing frequency patterns<\/li>\n<\/ul>\n\n\n\n
Pie Chart vs Histogram<\/h2>\n\n\n\n
Pie Chart:<\/p>\n\n\n\n
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- Used for categorical data<\/li>\n\n\n\n
- Shows proportions<\/li>\n\n\n\n
- Represents parts of a whole<\/li>\n<\/ul>\n\n\n\n
Histogram:<\/p>\n\n\n\n
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- Used for numerical data<\/li>\n\n\n\n
- Shows frequency distribution<\/li>\n\n\n\n
- Represents data spread<\/li>\n<\/ul>\n\n\n\n
Key Takeaway<\/h2>\n\n\n\n
Pie Charts help visualize proportions of categories, while Histograms help analyze the distribution of numerical data. Both are essential tools for understanding datasets in data analytics.<\/p>\n\n\n