Python EDA and Data Analysis #eda #dataanalaytics #pythoncode #pandas #gemini

Python EDA ( Exploration Data Analysis )

What Happened when I started learning Python For Data Analysis At that time I had no plane or path for Learning.

so here I have to share with you how you can start your journey for Data Analysis with Python.
Because Python is very important when We talk about Data Analysis, Machine Learning and Data science.

You can categorize these Pandas functions into different groups based on their purpose in Exploratory Data Analysis (EDA):

1️⃣ Basic Data Exploration

2️⃣ Data Summary & Missing Values

3️⃣ Indexing & Selection

4️⃣ Iteration & Transformation

▫️df['col'].apply() – Apply function to column

▫️df['col'].map() – Map function to column

5️⃣ Data Manipulation

🔹df['new'] = df['old'] + 2 – Create a new column

6️⃣ Date & Time Handling

🔸pd.Timedelta() – Time differences

7️⃣ Handling Missing Data

8️⃣ Reshaping & Aggregation

Would you like any reference or additional topic

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#Python #DataScience #Pandas #MachineLearning.