21 Days of EDA

A 21 Days journey to stronger the ability to analyse and work with data.

---

📅 Day 1 – 21-Day EDA Challenge

🚀 Goal:

Kickstart the EDA (Exploratory Data Analysis) process by loading the dataset and performing initial inspection using Python and Pandas.

🧰 Tools Used

• Python
• Pandas
• Jupyter Notebook or any Python IDE

✅ Tasks Completed

1. Environment Setup

   • Installed pandas, numpy, matplotlib, and seaborn
   • Created a new Jupyter Notebook Day1.ipynb

2. Loaded the Dataset

import pandas as pd

df = pd.read_csv("users.csv")

3. Other opeations

print(df.shape)       # Rows, Columns
print(df.columns)     # Column names
print(df.dtypes)      # Data types

4. Previewing the dataset

print(df.isnull().sum())

5. Viewed Summary Statistics

print(df.describe())
print(df.info())

---