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This is a messy csv file that was sourced from github containing job data like Name ,Age, Salary etc. I then took this data inspected and cleaned it and made visualizations using matplotlib.pyplot which explains the relation between age and salary in this dataset.

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Matplotlib_Cleaned_and_Visual

This is a messy csv file that was sourced from github containing job data like Name ,Age, Salary etc. I then took this data inspected and cleaned it and made visualizations using matplotlib.pyplot which explains the relation between age and salary in this dataset.

Dependencies

1. To create a virtual environment install the following dependencies (linux)

sudo apt update && sudo apt install -y python3 python3-pip python3-venv

2. To create a virtual environment

cd ~
python3 -m venv cleaner
source ~/cleaner/bin/activate

3.To install the required dependencies

pip install numpy pandas matplotlib word2number

The cleaned data is stored in respective files as above

For more data analysis $ data science contact

authkarimi1@gmail.com

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This is a messy csv file that was sourced from github containing job data like Name ,Age, Salary etc. I then took this data inspected and cleaned it and made visualizations using matplotlib.pyplot which explains the relation between age and salary in this dataset.

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