Data Visualization and Learning

Data Discovery

• discovering hidden relationships through—> visualization

  • used w/ descriptive and predictive analytics to improve departmental decisions 

  • summary data for higher level absorption

Data Visualization:

• Heat Maps

• The heat map→ is like a spreadsheet whose cells are formatted with colors instead of numbers 

• This heat map uses 3 colors to convey info at a glance 

Design Elements that lead to—>

misleading data visualizations, Non Truncated Graphs

Too many variables or too much information—>

• Creating data visualizations that include too many variables or contain too much information can distract the audience from the massage or information attempting to be conveyed 

• Text that is NOT LEGIBLE, unnecessary gridlines, and chart elements can be distracting and deter the effectiveness of the visualization

Digital Dashboards

• A style of reporting that depicts KPIs, operational or strategic information w/ intuitive and interactive displays 

• Custom programmed to automatically and securely pull, analyze, and display data from enterprise systems, cloud apps, data feeds, and external sources and then display the metrics

• Components of dashboards are:

  • Design

  • Performance metrics

  • API→ application programming interface

  • Access 

Enterprise Mashups

• Combine business data and applications from multiple sources→ typically a mix of internal data and applications w/ externally sourced data to create an integrated experience

• Does not require a huge investment and can be developed in hours rather than days or weeks

• Does not need to ETL from data warehouse ‘

Geospatial Data and Geographic Information Systems:

• Geographic Info System (GIS)

Captures, manages, analyzes, and displays multidimensional geographic data→ geospatial data

Geospatial Data and Geographic Information Systems:

• Geospatial Data 

• Where things or people are and where they are going→ with descriptive data→ what things are like or what customer are doing