Day 8 Master Data Distribution, Analysis, and Visualization: Python Matplotlib & Seaborn Tutorial

Master Data Distribution, Analysis, and Visualization: Python Matplotlib & Seaborn Tutorial

Learn everything about data distribution, analysis, and visualization in this comprehensive Python tutorial! 🌟

📊 Topics Covered:
1️⃣ Data Distributions: Uniform, Normal, and Skewed Distributions explained with real-world examples and Python code.
2️⃣ Data Analysis: Deep dive into variance, standard deviation, and their significance in data analysis.
3️⃣ Data Visualization: Master creating stunning plots using Matplotlib and Seaborn, including histograms, boxplots, and more!

📌 What you'll gain:
✅ A solid understanding of data distribution types and their use cases.
✅ Hands-on skills in data analysis and deriving insights.
✅ Proficiency in visualizing data to communicate effectively.

🚀 Code Examples Included: Learn by doing with practical Python examples for each concept.

🛠️ Tools Used:

Python
Matplotlib
Seaborn
🔗 Resources:

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#DataScience #PythonTutorial #Matplotlib #Seaborn #DataVisualization #DataAnalysis #PythonProgramming
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CODE FOR UNIFORM DISTRIBUTION:
import numpy as np

# Generate random data from a uniform distribution
# Range: [low, high), Size: 10000 samples

# Plot the histogram

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CODE FOR NORMAL DISTRIBUTION
import numpy as np

# Generate random data following a normal distribution

# Plot the histogram
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