Data Visualisation Web App
With enormous data in hand you would always want to visualize it for good understanding and better clarity with minimal efforts.
As the famous saying goes - "The greatest value of visualization is when it forces us to notice what we never expected to see" - John W. Tukey
CmyPlot is a web app that provides interface for uploading a csv data file and convert it into Tables and interesting graphs with one click
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Language used: Python
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Libraries used: Flask, Plotly, Dash
cmyplotdemo.mp4
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1.This is the main Cmyplot web page 
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2.You have an option to upload your csv file by Drag and drop or click 
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3.Once the file is uploaded, you can choose to visulaize using either table or graph 
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4.For table, you could use filters to sort the data as you want 
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5.Table representation of the data 
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6.Graph representation of the data 
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- Download Python3.x on your system.
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E.g If you downloaded
Python 3.9.7above, thenSteps to setup virtual environment
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Create a virtual environment:
python3.9 -m venv project1_env -
Activate the virtual environment:
source project1_env/bin/activate -
Build the virtual environment:(must be present in project directory)
pip install -r requirements.txt
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To run/test the site locally:
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Clone this (CmyPlot) github repo.
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Navigate to project directory.
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Create a virtual environment:
python -m venv project1_env -
Activate the virtual environment:
source project1_env/bin/activate -
Build the virtual environment:
pip install -r requirements.txt -
Install CmyPlot as package, this step is required due to the testing framework:
pip install -e . -
Run:
python src/plotting/index.py -
Site will be hosted at:
http://127.0.0.1:8085/
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