Pandas for Beginners 💥 Exploratory data analysis with Python

Beginner-friendly Python data analysis tutorial! Learn to explore government contract data with pandas and seaborn - from basic stats to beautiful visualizations. Full code walkthrough included! #DataScience #PythonTutorial #dataanalysis #PythonForBeginners #DataViz #PandasTutorial #Seaborn #dataexploration

🕵️ Find Government Waste FASTER Than DOGE and FBI Agents - Python Data Analysis!

Discover how to analyze DOGE contracts data like a forensic accountant using Python! In this tutorial, you’ll:
🔥 Uncover shady spending patterns (no math degree needed!)
📊 Create viral-ready charts exposing waste
🤯 Spot outliers faster than congressional auditors
💼 Bonus: Skills that will land viewers jobs at Tesla, Apple, Microsoft, Amazon, Facebook & Google

🚀 Ideal for:
• Investors connecting DOGE contracts data
• Journalists investigating pork-barrel spending
• Python beginners craving practical projects
• Trump/Musk fans who love data-driven wins

📈 TRENDING TOOLS USED: Python, pandas, seaborn, matplotlib, Jupyter Notebooks

#DataAnalysis #PythonTutorial #DOGE #ElonMusk #GovernmentWaste #PythonForBeginners #Trump #DataScience

What we cover:
1. basic stats, vendor analysis, distribution plot
2. df.info() and df.describe() (essential for any Exploratory Data Analysis - EDA)
3. missing values check (critical data quality step)

df.info() → Shows column types and memory usage (catches data type issues)
df.describe() → Statistical summary (mean, min/max, quartiles)
isnull().sum() → Reveals missing data (critical for cleaning)

In the video, we reveal:
Which vendors get the highest average contracts (not just total)
The one vendor who dominates with huge contracts

The Focus is on the "story" of the data ("Who are the biggest vendors?")

In our next tutorial, we'll:
🔍 Hunt for outliers using statistics
📊 Compare agency spending patterns
🤯 Discover hidden correlations

Subscribe so you don't miss it! Try modifying today's code - can you find which vendor has the most consistent contracts?

This video is Beginner-Friendly and focuses on Python and Pandas core concepts (no statistical