Chapter 5 Web Scrapping and Visualizations: An Application in International Strategy
Description
In this session, we begin by reviewing examples of data science and the data science framework. We will use a case study to analyze the data utilization strategy of a Quebec company. In particular, we will look at this company’s internationalization strategy. Then, we will discuss data collection from R websites, data types and data formats with Tableau Prep, and exploratory data analysis (EDA) and visualization with Tableau. Merging data in Tableau. Data cleansing in Table. Presentation of ggplot2 for data visualization. Examples of data used are data files from international business research papers.
Concepts discussed :
1 collection of data from websites.
2 data cleaning
3 structured and unstructured data
Pre-Session Activities/Resources
To get started with Tableau: https://www.tableau.com/learn/tutorials/on-demand/getting-started
Activities/Resources during the session
- Datar, Srikant, Alistair Croll, and Caitlin N. Bowler. 2018. “Busbud: Building a Data Company.” Harvard Business Publishing. 2018. https://hbsp.harvard.edu/product/118011-PDF-ENG.
Post-Session Activities/Resources
General Resources
R Tutorial by Kelly Black
papaja: Reproducible APA manuscripts with R Markdown by Frederik Aust & Marius Barth
Data Import Cheat Sheet
Base R Cheat Sheet
Data Transformation Cheat Sheet
Data Wrangling with dplyr and tidyr Cheat Sheet
Work with Strings Cheat Sheet