Data analytics is the process of examining raw sets of data with the aim of deriving meaning from it
Profit-driven organizations use data to monitor whether they are making profit or not. Social development organizations use data analytics to check whether they are making an impact or not
Types of data analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics
Data visualization is translating information into visual contexts
Data visualizations are important because they are easily understood by people of various levels of proficiency in data numeracy, spur people's interest and are a good medium for distributing information. This aids in faster decision making
All data visualizations are made of graphical elements such as lines, dots, circles and volumes
We use graphical properties of these elements such as size, color, orientation, volume and patterns to indicate significance and to compare different values
Data visualizations are used to show relationship (scatter plots, network diagrams), comparison across values (bar/column charts, parts of a whole (pie chart, icon arrays), changes over time (line charts, slopegraph), and to show location (maps)