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