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How to Develop a Streamlit Data Analytics Web App in 3 Steps

Step-by-Step Guide to Build Your First YouTube Analytics App

Destin Gong
TDS Archive
8 min readFeb 25, 2023

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Photo by Tran Mau Tri Tam on Unsplash

For the majority of the time, data science/data analytics projects end up as delivering a static report or dashboard, which tremendously downgrades the efforts and thoughts being put into the process. Alternatively, web app is a great way to demonstrate your data analytics work, which can be further expanded as a service on self-served and interactive platforms. However, as data scientists or data analysts, we are not trained for developing softwares or websites. In this article, I would like to introduce tools like Streamlit and Plotly that allows us to easily develop and serve your data analytics projects through a web app, with the following three steps:

Develop Data Analytic Web App in 3 Steps (image from author’s website)
  1. Extract Data and Build Database
  2. Define Data Analytics Process as Functions
  3. Construct Web App Interface

Afterwards, we will be able to create a simple web app like this:

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Destin Gong
Destin Gong

Written by Destin Gong

On my way to become a data storyteller | Website: www.visual-design.net

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