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Filipe Oliveira's Projects

housingmktwebscraping icon housingmktwebscraping

This Python application scrapes property data from www.rew.ca and it's part of a project where I analyzed the trade off between buying versus renting a property in greater Vancouver. You can find the presentation, report and link to the Tableau visualization of this project under the projects section of my portfolio website at: www.filipeanalytics.com

seasonalitytracker icon seasonalitytracker

Python application built in a HTML/CSS page, deployed on Heroku web server. It collects data of a specific stock for a specific period from Yahoo Finance and plots multiple candlestick graphs (one plot for each year in the period).

webscraping-crunchbase icon webscraping-crunchbase

This script extracts multiple businesses information from crunchdatabase for a given list of companies' URLs.

webscraping-imdb icon webscraping-imdb

This Python application scrapes IMDB most popular movies, summarizes the data dynamically and plots a graph. It’s divided into 3 main functions. The first webscrapes IMDB website, cleanse the data, convert it to a Dataframe and then save into a csv file. The second reads data from the csv file, performs a set of aggregation functions, converts the result to a Dataframe and then prints the results. The third and last function reads the data from the csv file and plots a Scatter Plot for Rating x Ranking.

webscraping-udemy icon webscraping-udemy

This Python application scrapes Udemy website to collect 9 course details like course title and price. It does that by locating the search field and passing two searches (Python and Data Analytics), one at a time. Then it scrapes the courses content with the help of a user defined function and some further cleansing for the price. With a cleanse data, the application saves all course details in a Dataframe and then in a list of objects of a user defined Class (Course). Lastly the application prints all courses details and stores the Dataframe in a csv file.

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