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Exploratory Analysis of Telecom dataset made easy with a few lines of code.

[4G LTE dataset]:

Published: 1 April 2020 | Version 1 | DOI: 10.17632/bfkdfy6x95.1 Contributors: Agbotiname Imoize , Kehinde Orolu , Prof. Aderemi Aaron-Anthony Atayero Title: "Data for Analysis of Key Performance Indicators of a 4G LTE Network Based on Experimental Data Obtained from a Densely Populated Smart City".
Source: https://data.mendeley.com/datasets/bfkdfy6x95/1 Citation: Imoize, Agbotiname; Orolu, Kehinde; Atayero, Prof. Aderemi Aaron-Anthony (2020), “Data for: Analysis of Key Performance Indicators of a 4G LTE Network Based on Experimental Data Obtained from a Densely Populated Smart City”, Mendeley Data, V1, doi: 10.17632/bfkdfy6x95.1
Link to the research paper: https://www.sciencedirect.com/science/article/pii/S2352340920301980?via%3Dihub


[Libraries & Repos]:

            -   pandas-profiling: https://github.com/ydataai/ydata-profiling
            -   How to use pandas-profiling with Streamlit: https://github.com/dataprofessor/eda-app 

'How to use this page:'

        -   Below, you would see two tabs: [**Profile Tab**] and [**EDA Tab**]. You can click to toggle between the two tabs.
        -   In the [**Profile Tab**] below, enable the [**Run Profiler**] button to explore the output of pandas-profiling on the above dataset.
        -   In the [**EDA Tab**], enable the [**Explore**] button  to visualize interesting correlation plots.
        -   The 'profiler' has to be run before 'exploring'.
        -   If you happen to have a clean 'csv' file, use the "Upload your own file" radio button under [**Profile Tab**].   

Demo


If it doesn't work, I am fixing something :)


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