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open Graph Image
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is In Organization
No
is In Organization
Yes
description
Project Description With Intermediate Python under your belt, you can already analyze and extract meaningful insights from various sources. For this set of projects, you will use a combination of data manipulation and visualization to explore television data. In this project's guided variant, you will look at Super Bowl Data, generating insights into game outcomes, viewership, and even halftime shows. In the unguided variant of this project, you'll develop an informative plot that helps to visualize the viewership and quality of The Office throughout its nine seasons. Project Tasks 1. TV, halftime shows, and the Big Game 2. Taking note of dataset issues 3. Combined points distribution 4. Point difference distribution 5. Do blowouts translate to lost viewers? 6. Viewership and the ad industry over time 7. Halftime shows weren't always this great 8. Who has the most halftime show appearances? 9. Who performed the most songs in a halftime show? 10. Conclusion
description
Promise based HTTP client for the browser and node.js
homepage
homepage
https://axios-http.com
url
https://githubhelp/asmaamohamed1989/analyzing-tv-data
url
https://githubhelp/axios/axios
disk Usage
95
dis kUsage
15514
stargazer Count
0
stargazer Count
104346
forkCount
0
forkCount
10750
watcher Count
0
watcher Count
104346
created At
2021-07-25
created At
2014-08-19
license Info
license Info
MIT License
issues
0
issues
50
languages
1
languages
4
repository Topics
0
repository Topics
5
owner
asmaamohamed1989
owner
axios
owner Avatar
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owner Avatar
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other
other

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