Program's functions:
- Imports a CSV file that includes percentage of female who works in the industry sectors around the world from 1980 to 2007. The data provided by International Labour Organization and published on http://www.gapminder.org/data/ .
- Creates scatter plots to visualize trend for the percentage of female who works in the industry sectors over the year
- Extracts data for the United States and Colombia
- Plots two scatter plots for data of the two countries with circles representing Colombia and squares representing the US.
- Implements hover effect to show the countries and the exact percentages on the glyphs
- Implements box selection effects to highlight certain subsets of the data
Reference: https://github.com/bokeh/bokeh-notebooks/tree/master/tutorial https://campus.datacamp.com/courses/manipulating-dataframes-with-pandas https://campus.datacamp.com/courses/pandas-foundations https://campus.datacamp.com/courses/intermediate-python-for-data-science https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh/continue