freeCodeCamp/curriculum/challenges/arabic/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md

id, title, challengeType, forumTopicId, dashedName

id	title	challengeType	forumTopicId	dashedName
5e46f802ac417301a38fb92b	Page View Time Series Visualizer	10	462369	page-view-time-series-visualizer

--description--

You will be working on this project with our Replit starter code.

• ابدأ باستيراد (import) المشروع على Replit.
• بعد ذلك، سترى نافذة .replit.
• اختار Use run command وانقر على زر Done.

وما زلنا نطور الجزء التعليمي التفاعلي من منهج Python. الآن، إليك بعض مقاطع الفيديو على قناة اليوتيوب الخاصة بي freeCodeCamp.org التي ستعلمك كلّما تحتاج إليه لإكمال هذا المشروع:

• Python for Everybody Video Course (14 hours)

• How to Analyze Data with Python Pandas (10 hours)

--instructions--

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.

Use the data to complete the following tasks:

• Use Pandas to import the data from "fcc-forum-pageviews.csv". Set the index to the date column.
• Clean the data by filtering out days when the page views were in the top 2.5% of the dataset or bottom 2.5% of the dataset.
• Create a draw_line_plot function that uses Matplotlib to draw a line chart similar to "examples/Figure_1.png". The title should be Daily freeCodeCamp Forum Page Views 5/2016-12/2019. The label on the x axis should be Date and the label on the y axis should be Page Views.
• Create a draw_bar_plot function that draws a bar chart similar to "examples/Figure_2.png". It should show average daily page views for each month grouped by year. The legend should show month labels and have a title of Months. On the chart, the label on the x axis should be Years and the label on the y axis should be Average Page Views.
• Create a draw_box_plot function that uses Seaborn to draw two adjacent box plots similar to "examples/Figure_3.png". These box plots should show how the values are distributed within a given year or month and how it compares over time. The title of the first chart should be Year-wise Box Plot (Trend) and the title of the second chart should be Month-wise Box Plot (Seasonality). Make sure the month labels on bottom start at Jan and the x and y axis are labeled correctly. The boilerplate includes commands to prepare the data.

For each chart, make sure to use a copy of the data frame. Unit tests are written for you under test_module.py.

The boilerplate also includes commands to save and return the image.

التطوير

For development, you can use main.py to test your functions. Click the "run" button and main.py will run.

الاختبار

We imported the tests from test_module.py to main.py for your convenience. The tests will run automatically whenever you hit the "run" button.

التقديم

Copy your project's URL and submit it to freeCodeCamp.

--hints--

It should pass all Python tests.

--solutions--

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  # because they would need to be tested against a full working project.
  # Please check our contributing guidelines to learn more.