Name: RLadies-Boulder #24: rtweet Tutorial!
Start: 2022-03-08T19:00:00-07:00
End: 2022-03-08T20:00:00-07:00

**SPEAKER:** This online event will be lead by Zane Dax ([https://twitter.com/StarTrek_Lt](https://twitter.com/StarTrek_Lt))! Zane has a BHsci in Public Health, started programming in Python but turned avid R user, and is very active on Twitter. She/They make R hexagon logos for R packages and streams on Twitch for data analysis and data visualizations.
**TOPIC OVERVIEW:** Twitter is a powerful tool and is part of a plethora of social media platforms. Twitter is widely used in the world for data science and research, as well as communication of various data science topics. Being a user is fine, but each tweet captures a lot of data that the user is unaware of - to unlock this hidden information one usually needs to have a Twitter API key to grab all the meta data on every tweet and Twitter user. In this special event, Zane will explain and walk through the rtweet package documentation ([https://cran.r-project.org/web/packages/rtweet/rtweet.pdf](https://cran.r-project.org/web/packages/rtweet/rtweet.pdf)). She/They will provide explained and ready to go examples with the data ready for your own data analysis, such as text analysis from word counts from tweets collected. This is the only Twitter API tutorial that you get to fully enjoy and learn from without any worry about being granted a API key for your data analysis!PREPARATION AND
**RESOURCES:** There is nothing to prepare in advance. The tutorial resources are available on GitHub: [https://github.com/PythonCoderUnicorn/rtweet-tutorial](https://github.com/PythonCoderUnicorn/rtweet-tutorial)

Lisa Moller

Hilary Traut

R-Ladies Boulder

R-Ladies

Technology

Artificial Intelligence

Open Source

Data Management

Business Intelligence

Big Data

Machine Learning

Predictive Analytics

Data Analytics

Data Visualization

Data Mining

Data Science

Programming in R

RLadies-Boulder #24: rtweet Tutorial!

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RLadies-Boulder #24: rtweet Tutorial!

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