https://github.com/gangula-karthik/data_wrangling_assignment

Data Wrangling project 📊 from Year 2 Semester 1 at NYP, skillfully tackled with KNIME 🔧.
https://github.com/gangula-karthik/data_wrangling_assignment

data-science data-wrangling knime

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Data Wrangling project 📊 from Year 2 Semester 1 at NYP, skillfully tackled with KNIME 🔧.

• Host: GitHub
• URL: https://github.com/gangula-karthik/data_wrangling_assignment
• Owner: gangula-karthik
• Created: 2023-06-25T02:53:42.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-06-25T03:05:37.000Z (over 1 year ago)
• Last Synced: 2024-11-05T11:37:28.729Z (about 2 months ago)
• Topics: data-science, data-wrangling, knime
• Homepage: https://www.knime.com
• Size: 16.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Wrangling Assignment

## Nanyang Land Holdings Data Analysis :bar_chart:

This repository contains all the resources related to the data preparation and analysis process conducted on the customer spending data of Nanyang Land Holdings' four different malls (N, E, W, S). :department_store:

## :books: Project Overview

The primary objective of this project was to prepare and analyse the total customer spending across the four different malls. The data preparation process was conducted using KNIME :computer:, which included merging four datasets into a single unified dataset, detecting and correcting errors in the dataset, transforming the data to make it suitable for analysis, and saving the final cleansed dataset.

This repository provides detailed documentation of the steps undertaken during the data wrangling process and the rationale behind each step. It also outlines the challenges encountered during the process and the lessons learned from these experiences. :bulb:

## :file_folder: Repository Contents

- 223715Y_Karthik_DataWranglingAssignment.knwf :gear:: This file contains the KNIME workflow used for data preparation and analysis.

- Cleaned_CustomerSpendingData_NanyangLand.csv :clipboard:: This file is the final output of the data preparation process. It contains the cleaned and transformed data ready for analysis.

- 223715Y_Karthik_DataWrangingAssignment :book:: This report provides a comprehensive documentation of the data preparation process, steps taken for data wrangling, challenges faced, and the learning outcome.

## :arrow_down: How to Use

- Download or clone this repository.

- Open the knime_workflow.knwf file in your local KNIME installation to view and run the workflow.

- Refer to the data_report.pdf for an in-depth understanding of the data wrangling process.

- The cleaned_dataset.csv file is ready to be used for further analysis or modeling.

## :handshake: Contribute

Feel free to fork this repository, raise issues, or provide pull requests.

## :star: Show Your Support

Please give a ⭐️ if this project helped you! Your support helps us to continue our work.

## :page_with_curl: License

This project is licensed under the MIT License - see the LICENSE.md file for details.