https://github.com/mastermindromii/data-cleaning-using-power-query

A Simple Real-Time Data Cleaning Using Power Query in Power BI
https://github.com/mastermindromii/data-cleaning-using-power-query

datacleaning netflixdata powerbi powerquery rawdata-converter

Last synced: 9 days ago
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A Simple Real-Time Data Cleaning Using Power Query in Power BI

• Host: GitHub
• URL: https://github.com/mastermindromii/data-cleaning-using-power-query
• Owner: MasterMindRomii
• Created: 2024-05-22T05:50:11.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-22T05:56:50.000Z (6 months ago)
• Last Synced: 2024-05-23T06:45:29.798Z (6 months ago)
• Topics: datacleaning, netflixdata, powerbi, powerquery, rawdata-converter
• Homepage:
• Size: 1.23 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Power Query Practice in Power BI

Welcome to the Power Query Practice repository! This project is focused on various data cleaning techniques using Power Query in Power BI. 

## Project Overview

In this project, we perform the following tasks:

1. **Column Profiling**: Understanding the data types and distribution of values in each column.

2. **Dealing with Missing Values**: Identifying and handling empty or blank values.

3. **Encoding Nulls**: Converting null values into a format suitable for analysis.

4. **Imputing Missing Values**: Replacing missing values with appropriate substitutes.

5. **Working with Dates**: Cleaning and formatting date values.

6. **Adding New Columns**: Creating new columns based on existing data.

7. **Splitting / Extracting Data**: Dividing columns into multiple parts or extracting specific data.

8. **Extracting First Item**: Extracting the first item from lists or text strings.

9. **Text / Sentiment Analysis**: Performing basic text analysis and sentiment evaluation.

10. **Filtering Unnecessary Data**: Removing irrelevant rows or columns to streamline the dataset.

## Data Source

To follow along with this project, download the sample data from Kaggle:

📁 [Download Sample Data](https://www.kaggle.com/datasets/shiva...)

## How to Use This Repository

### Clone the Repository

First, clone the repository to your local machine:

```bash

git clone https://github.com/MasterMindRomii/Data-Cleaning-Using-Power-Query

cd Data-Cleaning-Using-Power-Query