DataSurgeX is a software tool for data wrangling and cleaning. It provides a range of features and tools to help data scientists and analysts prepare data for analysis, including functions for identifying and fixing errors, deduplicating records, and handling missing values.
Data cleansing tools to identify and fix errors, deduplicate records, and handle missing values Data visualization capabilities including scatterplots, histograms, and box plots Data transformation tools to convert data types and format data for analysis Spreadsheet-like functionality to sort, filter, and delete duplicate records
Use DataSurgeX to identify and fix errors in a customer data set before importing it into a CRM system Use DataSurgeX to visualize trends in financial data and identify patterns in stock prices Use DataSurgeX to clean and transform data from a web scrape for analysis in a spreadsheet program
Python 3.6 or higher NumPy and Pandas libraries A database for storing data (optional)
To install DataSurgeX, follow these steps:
Clone the repository: git clone https://github.com/user/datasurgex.git
Install the required dependencies: pip install -r requirements.txt
To use DataSurgeX, follow these steps:
Run the software: python main.py
Load data into the software using the file menu
Use the various tools and features to clean and transform the data
Save the cleaned data to a file or database
- User manual
- API reference
- Technical notes
We welcome contributions to DataSurgeX! If you would like to contribute, please follow these guidelines:
- Check the open issues to see if your contribution aligns with the project's current priorities.
- Create a new branch for your changes:
git checkout -b my-new-feature - Make your changes and commit them:
git commit -am 'Add some feature' - Push the branch to GitHub:
git push origin my-new-feature - Create a new pull request
All code contributions should follow the project's existing coding style. All code should be thoroughly tested and include relevant test cases. All new features or major changes should be documented in the relevant sections of the README file.
DataSurgeX was developed by software-Savants. Additional contributions have been made by Contributor 1 and Contributor 2.
DataSurgeX is licensed under the MIT License.
We are committed to creating a welcoming and inclusive community for all users and contributors to DataSurgeX. We expect all members of the community to respect and adhere to the following code of conduct:
- Be respectful and considerate of others.
- Do not discriminate against others on the basis of race, ethnicity, religion, gender, sexual orientation, age, or disability.
- Do not engage in harassment, bullying, or other abusive behavior.
- Do not post or share inappropriate or offensive material.
- Do not engage in any illegal activity.