# LeWagon_Woman_day

Le Wagon organize an event dedicated for Woman in Tech:

Part I: Data Analytics

• Data Analytics Workshop

• Data Analytics Notebook - Challenge

Part II: Web Scraping

• Web Scraping Workshop

• Web Scraping Notebook

Data Analytics - Challenge:

• import csv file
• check some columns information
• create some plots using seaborn library
• check the distribution of some columns based on a specific category - plot kind ("bar", "box", "violin", "boxen")
• create histogram plots with FacetGrid
• check the correlation between variables
  • scatter plot
  • jointplot
  • seaborn.pairplot
• check regregation with lmplot
  
  https://github.com/midlourenco/Lewagon_Woman_day/blob/main/%20Data%20Analytics/DataAnalitic_challenge_LewagonWday_MarianaLourenco.ipynb

Web Scraping - Challenge:

• used http://books.toscrape.com/index.html to scrap
• functions: scraped, find, find.all, select
• from: https://github.com/lewagon/python-scraping-workshop
  
  https://github.com/midlourenco/Lewagon_Woman_day/blob/main/Web%20Scraping/web_scrapping_challenges_MarianaLourenco.ipynb

Landing page:

• used HTML and CSS basics (including class selectors and box model)
• CSS grid
• Responsive designer with media querie
• https://midlourenco.github.io/Lewagon_Woman_day/