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ML DataSet Analysis and Visualization

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Overview Of the Web App :

A Simple EDA App for full Analysis of ML Dataset. The user need to Upload any dataset in CSV format, it will show the full analysis of the dataset such as top 5 columns, the shape, Value count, summary as well as the visualization which contains HeatMap, Pie Chat, Plot of value count. You can also see the Customizable Plot such as bar plot, kde , box plot, line plot, hist, area. The user can choose the parameters that is the x-axis and y-axis on which they want to see the plot. This web app gives you a clear overview of any dataset Of ML.

My Tech Stack:

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Structure of the Web App:

  • It is a streamlit webapp which contains a navigation bar and the home page.
  • The navigation bar consists of About the Project and About the Author.
  • The home screen consists of a file of CSV format upload option.
  • The User need to upload a dataset of csv format and the web app will give the full analysis of the Dataset
  • Analysis such as - shape of the dataset, value count, description of the dataset such as mean, median, mode, the datatype of the columns.
  • Then comes the Visualization part where graph plot will be shown such as - Heatmap, Pie chart, Plots of value count of any columns chosen by the user. You can also see the Customizable Plot such as bar plot, kde , box plot, line plot, hist, area.