From a03f3ab47e2521ce142a3810ae58b2cd7a38b19c Mon Sep 17 00:00:00 2001 From: Leonardo Martins Date: Fri, 28 Jan 2022 03:08:37 -0300 Subject: [PATCH] fix: change typo "Searborn" to "Seaborn" (#44941) --- .../page-view-time-series-visualizer.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md index 2ca374ca72..55866f8c0f 100644 --- a/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md +++ b/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.md @@ -25,7 +25,7 @@ Use the data to complete the following tasks: - 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 Searborn 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 x axis are labeled correctly. The boilerplate includes commands to prepare the data. +- 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 x 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`.