Data visualization

Data visualization

1. Chart

   • Bar graph
     • Bar(Horizational)
     • Column(vertical)
     • Histogram(lines together)
   • Line graph
   • Pie graph
     • show proportions of the whole
     • useful for small data(not many slides)
   • Scatter graph
     • show relationship
   • Dot plot
     • individual values
   • Box plots
     • show spread

2. Coding

   • transformation of recorded values into a visual display

3. decoding

   • The observer's interpretation of the display

4. Univariate data

   • single variable
     • one variable in each record of data set
       • Calculate frequencies of each score
         • frequency histogram bar(column) graph
           • bars are touching each other
         • frequency polygon
           • line graph
     • consider just one of the fields for analysis
     • time series
       • measurements of one variable
         • uaually plot with
           • "time" on horizontal axis
           • measurement on vertical aixs
         • use
           • bar(column) graph
           • line graph
   • possible graphical views
     • plot individual data
     • summary data
     • distributions

5. Bivariate data

   • two variables
     • two variable s held in each record of the data set
       • using suitable scale for each section
     • Scatter plot
       • X axis
         • independent variable
       • Y axis
         • dependent variable

6. Multivariate data

   • many different variables for each record in the data set
   • Annotated map
   • Dashboard
     • Strategic
       • quick overview
       • include forecasts
     • Analytical
       • more context
       • interact with data
     • Operational
       • need to be dynnamic
         • change as the data changes in the real time

7. graphs

   • good Graphs
     • Clear
       • able to see relationships between variables
     • Consistent
       • with the graph and with previous graphs
     • Efficient
       • portrays information as simply as possible
     • Necessary
       • the graph itself, and all its parts are needed
     • Truthful
       • the data is represented accurately
   • bad graphs
     • chart junk

Imagens e arquivos do mapa