Simple Data Analysis With Python

For this example, we are going to be using the following tools:

  1. Pandas
  2. NumPy
  3. Matplotlib

Step1: Import Libraries

Step 2: Load the Data

Step 3: Explore the Data

At this step, we are going to quickly explore the data by getting a quick overview

Step 4: Data Cleaning

At this step, we are going to clean the data by doing things such handling missing values.

Step 5: Data Transformation

Convert Data Types, if Necessary

Create New Columns

Step 6: Data Analysis

Perform descriptive statistics

Grouping and aggregation

Step 7: Data Visualization

Basic plotting

Advanced plotting

Step 8: Save The Cleaned Data to a CSV File

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