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Data cleaning a raw dataset. Analyze the data and apply data visualization techniques to support insights.

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4022-data-preparation-visualization's Introduction

Introduction

This project was completed as part of BUS4022 course assignment. A full description of the requirements for the project and description of the raw data provided is given in the pdf file "Group_Capstone_Assignment_3". The following deliverables were completed as,

  • Data cleaning - Starting with the LOAN_PORTFOLIO_Original.csv file,
    • I cleaned the data, looking for missing values,
    • Merged closely related categorical lables, e.g. for the variable LiteracyLevel, "N" and "O" both denotes "No Formal Education" were merged together.
    • Data formatting (e.g. monetary values were formatted to be 2 decimal places).
    • New meaningful variables (derived) which would help in the analysis were added.
  • Data Audit - provide commentary and notes on the; accuracy, consistency and completeness of each variable. Results are given in the 19_Assignment_3_Part_1_Data_Audit_and_Preliminary_Assessment_Appendix file. A descriptive analysis of the variables, along with the description of the variables is given in the 19_Assignment_3_Part_1_Data_Audit_and_Preliminary_Assessment_Report_ document.
  • Exploratory Data Analysis - The result of this is summarized in the file, 19_Assignment_3_Part_3_EDA.
  • Tableau Dashboard and Data Story - A Tableau file, 19_Assignment_3_Part_4_Dashboard, was created with interesting relationship between variables and heatmap. Screenshots from my Tableau dashboard are given below.

Tableau Screenshots

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4022-data-preparation-visualization's People

Contributors

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