This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.
This session, our guest Paul will demonstrate through a hands-on session what it takes to tell a story with Microsoft Power BI.
About the Speaker:
At the end of this session, you will be able to tell a story using Microsoft Power BI by analyzing Twitter Data on #NG30DaysOfLearning #30DaysOfLearning
How to Scrape the Data
There are several ways for scraping twitter data, our focus here will be on simple, functional, and easy to use approach.
Check the video here for the guide or click here to download the scaped data from GitHub: https://aka.ms/30DLDATGitHubRepo Locate the "Twitter Data Web Scrape" folder and you will find both the Jupyter notebook python file and the csv file.
The CSV file is for your immediate use but if you would like to scrape the data yourself, you can use the other file.
Note: You will need to download and install Anaconda on your system or Visual Studio Code and configure it by installing python and other libraries.
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Watch the Session Here
Time Wasn't Our Friend
From the session momentum, you will see there are still so much to learn. this is why we have them right here.
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Additional Resources
- If you are just joining, check the onboarding homepage: https://aka.ms/30DLOnboardingRecap
- For 30 Days Calendar, check our Landing Page: https://aka.ms/30DLDATLandingPage
- Microsoft Learn for Students: https://aka.ms/learnstudent