Check out the #30DaysOfStreamlit here! https://share.streamlit.io/streamlit/.... Again, this is a great learning objective that can be done alongside the #66DaysOfData!
In this video I walk you through a basic data science portfolio project using python and streamlit. This is more of an exploratory data analysis project than a modeling project. I have set the groundwork, but have described many ways to improve upon this analysis for you to make this project your own!
Data for the Project: https://www.kaggle.com/datasets/kenje...
Github for the Project: https://github.com/PlayingNumbers/YT_...
Anaconda Setup Video: • How to Set Up Your Data Science Environmen...
What is #66DaysOfData? - • What is the #66DaysOfData?
0:00 Intro
1:36 What value can you drive from the data?
2:29 The dashboard we are building
4:38 Creating a new conda environment
8:36 Getting the data
10:10 Setting up the analysis
11:25 Loading in the data
13:17 Basic feature engineering
28:50 Adding the sidebar
31:06 Adding Metrics
35:44 Adding in columns and advanced merics
38:40 Adding in formatted dataframe
41:16 Styling the dataframe
48:41 Individual video analysis
50:00 Adding a dropdown
53:11 Create graph for subscriber status and country
58:15 Building performance over time chart
1:09:22 How could this be improved?
1:11:25 Publishing the Streamlit app
Streamlit Documenation - https://docs.streamlit.io/
Pandas Table Visualization - https://pandas.pydata.org/docs/user_g...
Plotly Documentation - https://plotly.com/python-api-referen...
#DataScience #KenJee
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💻 Github - https://github.com/PlayingNumbers
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My Playlists
Data Science Beginners: • Data Science Beginners
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Kaggle Projects: • Kaggle Projects