Master Economic Data Analysis with Python Pandas: Scraping, Cleaning & Exploration πŸ“Š

Join Kaggle Grandmaster Rob Mulla as he guides you through a comprehensive economic data analysis project using Python Pandas. Learn how to scrape, clean, and explore data effectively for insightful results!

Master Economic Data Analysis with Python Pandas: Scraping, Cleaning & Exploration πŸ“Š
Rob Mulla
245.6K views β€’ Apr 26, 2022
Master Economic Data Analysis with Python Pandas: Scraping, Cleaning & Exploration πŸ“Š

About this video

In this video kaggle grandmaster Rob Mulla takes you through an economic data analysis project with python pandas. We walk through the process of pulling down the data for different economic indicators, cleaning and joining the data. Using the Fred api you can pull up to date data and compare, analyze and explore.

Copy and edit the notebook from the tutorial: https://www.kaggle.com/robikscube/economic-analysis-with-pandas-youtube-tutorial

Timeline:
00:00 Intro
01:05 API Setup
06:26 Search Economic Indicators
10:35 Pull Economic Data
13:37 Joining Indicators
25:59 Plotting with Plotly
27:27 Bar Chart of Unemployment
36:50 Unemployment vs Participation

Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8

* Youtube: https://youtube.com/@robmulla?sub_confirmation=1
* Discord: https://discord.gg/HZszek7DQc
* Twitch: https://www.twitch.tv/medallionstallion_
* Twitter: https://twitter.com/Rob_Mulla
* Kaggle: https://www.kaggle.com/robikscube

#python #pandas #datascience

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Video Information

Views

245.6K

Likes

8.6K

Duration

44:55

Published

Apr 26, 2022

User Reviews

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