https://github.com/sadia-khan13/modern_arts_data_cleaning
Welcome to the Data Cleaning project! This repository is dedicated to showcasing best practices and techniques for cleaning data using Pandas within Jupyter Notebook
https://github.com/sadia-khan13/modern_arts_data_cleaning
data-analysis data-analysis-python data-cleaning data-science jupyter-notebook pandas-python
Last synced: 24 days ago
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Welcome to the Data Cleaning project! This repository is dedicated to showcasing best practices and techniques for cleaning data using Pandas within Jupyter Notebook
- Host: GitHub
- URL: https://github.com/sadia-khan13/modern_arts_data_cleaning
- Owner: Sadia-Khan13
- Created: 2024-07-25T10:01:27.000Z (almost 2 years ago)
- Default Branch: my-new-branch
- Last Pushed: 2024-07-25T14:33:51.000Z (almost 2 years ago)
- Last Synced: 2024-07-25T16:48:20.930Z (almost 2 years ago)
- Topics: data-analysis, data-analysis-python, data-cleaning, data-science, jupyter-notebook, pandas-python
- Language: Jupyter Notebook
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data cleaning using pandas
Welcome to the Modern Arts Data Cleaning project! This repository contains tools and techniques for cleaning and preparing datasets related to modern arts, using Python and relevant libraries like Pandas.
Data Parsing and Standardization: Tools to parse and standardize data from different sources (e.g., CSV files, APIs).
Data Organization: Techniques for organizing messy datasets and restructuring dataframe etc
Data Type Conversion: Methods for converting data types (e.g., strings to numbers etc) efficiently