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A python package that performs exploratory data analysis for users. Additionally, it generates 3 types of output files (cleaned CSV, plots and a text report).

License: MIT License

Python 100.00%

exploratory-data-analysis data-analysis data-science

edator's Introduction

Software Developer

Check out my Data Analytics discord channel

About Me 🙋🏻‍♂️

Graduated with a Bachelors of Biotechnology (First Class Honours)
Fall in love with bioinformatics and picked up my first programming language, R
Worked full time as a data analyst (July 2020 - May 2022) 👨🏻‍💻
- Helped to create highly-impactful dashboards using R shiny to assist stackholders in their decisions
- Generate interfaces using R shiny to streamline existing workflow
- Digitalise existing warehouse system using R shiny to improve data capturing and accountability
Currently working as a valuation analyst with a mixture of software development
- Developed primarily on the frontend using React
- Developed REST APIs
- Construct, design and manage PostgreSQL database
Spend majority of my freetime after work and weekends coding my own projects 🤓

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edator's People

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edantonio505 metamyrddin poeblu bballamudi krajasekhar845 rkrishna116 luke202001 cosmo65

edator's Issues

Old version of PySimpleGUI

Hiya.... saw a datascience Reddit post that led me here and quickly spotted that your'e running PySimpleGUI.

I see you're running version 4.8.0 of PySimpleGUI. That release is "old" in the life of the project, about 6 months old. A lot has changed since then. The newest version is 4.19.0. Any particular reason you've stuck with an older (and thus unsupported) release? Or have you been keeping up to date and it is simply not reflected in your screenshot and readme file?

Issue with plotting scatterplot with dataset that contains only numerical values

In plot.py, numerical vs numerical values are plotted using a variable called num_var_hue_combination. Hence it only works if the dataset has a categorical value. Will fix this issue asap.

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