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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md
GM Fuster 3b056aa7b4 chore(replit): use correct brand name across codebase (#41941) 
* replace repl.it with replit.com in the English version

Replace repl.it to replit.com in the English version.  Chinese and Spanish versions have the same issue.

* Updated the repl.it to replit.com or Replit

I changed the text from replit.com to Replit and added the changes to the files outside the curriculum folder.

* Forgot removing one .com.

There was on Replit.com that I missed when I reviewed the files.

* Resolve conflicts

I got an unable to auto merge so resolving conflicts and trying again.

* try committing conflicts again

* Trying the conflicts again

* chore: fix typo in personal library

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>

Co-authored-by: gemmaf98 <44875585+gemmaf98@users.noreply.github.com>
Co-authored-by: Mrugesh Mohapatra <1884376+raisedadead@users.noreply.github.com>
Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
2021-04-29 11:13:38 +01:00

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id, title, challengeType, dashedName
id title challengeType dashedName
5e46f802ac417301a38fb92b Page View Time Series Visualizer 10 page-view-time-series-visualizer

--description--

For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.

You can access the full project description and starter code on Replit.

After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.

We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.

--hints--

It should pass all Python tests.

--solutions--

  # Python challenges don't need solutions,
  # because they would need to be tested against a full working project.
  # Please check our contributing guidelines to learn more.