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PROJECT
           VIDI - Data visualization modules
            IT for business intelligence
DATE
                               BY-
           07/04/12
                        ISHAN AWADHESH-10BM60033
   SAGAR-10BM60075
VIDI (Tutorial)
!   Suite   of Drupal data-visualization modules

!   Used    for-

  !   Changes        in data values over time

  !   Relate    data to geographical maps

  !   Display       static datasets
Visualizations
!   Timeline



•    Built as a Drupal Views 2 style
     plug-in.

•    Based on the Timemap.

•    Allows to load one or more
     datasets onto both a map and a
     timeline simultaneously

•    Displays data represented in the
     timeline as markers on Google
     map."
! 
     Visualizations
     Tag Map
•    Tagmap is a Drupal Views2 style plugin


•    Displays geo-coded tag cloud over Google
     Map


•    There are two possibilities: 


◦    To display taxonomy terms


◦    To display previously imported external data


•    Provides admin settings page for some basic
     options


•    User can use cluster-marker to refine the
     display


•    Main purpose is to visually present location
     related data where exact geographical
     borders are not available 


•    The module can accept numerical data either
     from an external source or from counting
     nodes (through taxonomy)
Visualizations
!   GVS        Modules
•    Built as Drupal Views 2 style plug-in

•    Uses Google Visualization API to display
     different types of charts: Pie, Bar, Column,
     Gauge, GeoMap, IntensityMap, Area,
     MotionChart and Scatter plot 

•       Users can choose the fields (data), chart
     type and some options that they want to be
     displayed
! 
     Visualization
 Content Type
     KML (Keyhole Markup Language)
•    Creates a new content type based on the Google Earth API

•    Displays .kml files the Google Earth API

•    For several .kml files it is possible to choose between them via a drop-down box
Categories of Data Sets

!   Time   Data

!   Geo   Data

!   Comparative    Data
Time Data

!   Motion   Chart

!   Timeline   Map

!   Timeline   Map with Path

!   Annotated   Timeline
Motion Chart
!  Adynamic chart to explore several indicators over
  time. The chart is rendered within the browser
  using Flash 

!   Example-

  !   Names    of Players 

  !   Their   Number of Goals and Matches with time
Data
•  atasets must contain a column having time values: year, month, or date
 D


  Player	
         Date	
                 matches	
        goals	
        Loca1on	
  
  Messi	
                01-­‐01-­‐2012	
               5	
             7	
  
                                                                         Argen1na	
  
  Ronaldo	
              01-­‐01-­‐2012	
               5	
             5	
  
                                                                         Portugal	
  
  Gomez	
                01-­‐01-­‐2012	
               2	
             1	
  
                                                                         Germany	
  
  Messi	
                01-­‐02-­‐2012	
               5	
             7	
  
                                                                         Argen1na	
  
  Ronaldo	
              01-­‐02-­‐2012	
               5	
             6	
  
                                                                         Portugal	
  
  Gomez	
                01-­‐02-­‐2012	
               5	
             1	
  
                                                                         Germany	
  
  Messi	
                01-­‐03-­‐2012	
               7	
            13	
  
                                                                         Argen1na	
  
  Ronaldo	
              01-­‐03-­‐2012	
               8	
            10	
  
                                                                         Portugal	
  
  Gomez	
                01-­‐03-­‐2012	
               7	
            10	
  
                                                                         Germany	
  
Output
Click This Link to see output in motion

http://bit.ly/10BM60033_vidi_motionchart 

•    Scatter Graph
                 Bar Graph
Timeline Map

!   Timeline
          map allows loading one or more datasets
  onto both a map and a timeline simultaneously.

!   Example-

  !   Names    of Persons

  !   Starting   & Ending Date

  !   Latitude   & Longitude of their places of Birth
Data
•  atasets must contain a column that contains the geographic latitude & longitude
 D




  start	
            end	
              la1tude	
     longitude	
     1tle	
  

  03-­‐03-­‐1839	
   19-­‐05-­‐1904	
   20.58	
       72.55	
         Jamsetji	
  Tata	
  

  10-­‐04-­‐1894	
   11-­‐06-­‐1983	
   28.37	
       75.6	
          GD	
  Birla	
  
                                                                      DhiruBhai	
  
  28-­‐12-­‐1932	
   06-­‐07-­‐2002	
   20.81	
       75.13	
         Ambani	
  

  10-­‐06-­‐1948	
   07-­‐04-­‐2012	
   26.15	
       87.52	
         Subrata	
  Roy	
  
Output
Timeline Map with Path

!   This
      is a variant of the Timeline map enabling
  drawing paths between markers on the map. 

!   Example-

  !   Names     of Persons

  !   Start   Date

  !   Latitude   & Longitude of their places of Birth
Data
•  atasets must contain a column that contains the geographic latitude & longitude
 D




  Start	
              La1tude	
           Longitude	
         Title	
  

  03-­‐03-­‐1839	
     20.58	
             72.55	
             Jamsetji	
  Tata	
  

  10-­‐04-­‐1894	
     28.37	
             75.6	
              GD	
  Birla	
  
                                                               DhiruBhai	
  
  28-­‐12-­‐1932	
     20.81	
             75.13	
             Ambani	
  

  10-­‐06-­‐1948	
     26.15	
             87.52	
             Subrata	
  Roy	
  
Output
Geo Data
!   Tag   Map

!   Intensity   Map

!   Geo   Map

!   Timeline    Map

!   Timeline    Map with Path

!   KML   on Google Earth
Tag Map
!   Allows    to see tags on a map

!   Example-

  !   Names     of the IPL teams

  !   Their   States

  !   Ranking    in 2011
! 
        Data
     Datasets must contain a column that contains the geographic latitude & longitude

Team
                        Rankings
               Latitude
                 Longitude

Delhi Daredevil
             10
                     28.40
                    77.13

Mumbai Indians
              3
                      18.58
                    72.49

Rajasthan Royals
            6
                      26.55
                    75.49

Pune Warriors
               9
                      18.32
                    73.52

Kochi Tuskers
               7
                      9.58
                     76.14

Kolkata Knight Riders
       4
                      22.34
                    88.22

Royal Challegers Banglore
   2
                      12.59
                    77.35

Chennai Super Kings
         1
                      13.5
                     80.17

Deccan Chargers
             8
                      17.22
                    78.28

Kings XI Punjab
             5
                      30.44
                    76.47
Output
Intensity Map
!  A   color coded map showing intensity

!   Different
          color or shades represent intensity or
  changes

!   Given   Example-

  !   Differencesin GDP of countries by both PPP
       and Per Capita
! 
       Data
     The first column should be a text, and contain country ISO codes

                           Country
         $ GDP(PPP)
     $ GDP(per Capita)

                           US!              15064
          48417

                           CN!              11316
          21592

                           IN!              4469
           1527

                           JP!              4395
           45774

                           DE!              3089
           44558

                           RU!              2376
           13236

                           BR!              2309
           12917

                           GB!              2253
           39604

                           FR!              2216
           44401

                           IT!              1828
           37046
Output
Geo Map

!   Mapof a country, continent or region with colors &
  values assigns to specific area

!   Given   Example-

  !   Popularity   of IPL Teams
! 
       Data
     Dataset must include either country ISO codes or latitude/longitude positions

                            Latitude
        Longitude
       Popularity

                            28.40
           77.13
           100

                            18.58
           72.49
           800

                            26.55
           75.49
           500

                            18.32
           73.52
           200

                            9.58
            76.14
           400

                            22.34
           88.22
           700

                            12.59
           77.35
           900

                            13.5
            80.17
           1000

                            17.22
           78.28
           300

                            30.44
           76.47
           600
Output
Comparative Data
!   Pie   Chart

!   Gauge     Chart

!   Bar   Chart

!   Area   Chart

!   Column     Chart

!   Line   Chart

!   Scatter   Chart
Business Value
!    The meaning of the data can be found out by Infographics,
     where design meets data.

!    A simple visualization like color, size or orientation makes the
     comprehension almost instant. 

!    Colors can be used to show correlation, size can be used to
     show quantity, orientation can be used to show trends etc. 

!    The power of design can be used to communicate all sorts of
     information, processes, hierarchy, anomaly, chronology – in a
     better way. 

!    Better communication through innovation as one’s message
     is only as good as one’s ability to share it. VIDI makes this
     possible through the various visualizations it offer
Drawbacks

!   The
      visualization wizard is a lot easier to use than
  the embed code

!   One
      need to save the visualization and go to the
  "My VIDI" page to get embed code that actually
  works

!   The   host's servers can not handle large traffic
Thank You

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VIDI (@ VGSoM)

  • 1. PROJECT VIDI - Data visualization modules IT for business intelligence DATE BY- 07/04/12 ISHAN AWADHESH-10BM60033 SAGAR-10BM60075
  • 2. VIDI (Tutorial) !   Suite of Drupal data-visualization modules !   Used for- !   Changes in data values over time !   Relate data to geographical maps !   Display static datasets
  • 3. Visualizations !   Timeline •  Built as a Drupal Views 2 style plug-in. •  Based on the Timemap. •  Allows to load one or more datasets onto both a map and a timeline simultaneously •  Displays data represented in the timeline as markers on Google map."
  • 4. !  Visualizations Tag Map •  Tagmap is a Drupal Views2 style plugin •  Displays geo-coded tag cloud over Google Map •  There are two possibilities:  ◦  To display taxonomy terms ◦  To display previously imported external data •  Provides admin settings page for some basic options •  User can use cluster-marker to refine the display •  Main purpose is to visually present location related data where exact geographical borders are not available  •  The module can accept numerical data either from an external source or from counting nodes (through taxonomy)
  • 5. Visualizations !   GVS Modules •  Built as Drupal Views 2 style plug-in •  Uses Google Visualization API to display different types of charts: Pie, Bar, Column, Gauge, GeoMap, IntensityMap, Area, MotionChart and Scatter plot  •    Users can choose the fields (data), chart type and some options that they want to be displayed
  • 6. !  Visualization Content Type KML (Keyhole Markup Language) •  Creates a new content type based on the Google Earth API •  Displays .kml files the Google Earth API •  For several .kml files it is possible to choose between them via a drop-down box
  • 7. Categories of Data Sets !   Time Data !   Geo Data !   Comparative Data
  • 8. Time Data !   Motion Chart !   Timeline Map !   Timeline Map with Path !   Annotated Timeline
  • 9. Motion Chart !  Adynamic chart to explore several indicators over time. The chart is rendered within the browser using Flash !   Example- !   Names of Players !   Their Number of Goals and Matches with time
  • 10. Data •  atasets must contain a column having time values: year, month, or date D Player   Date   matches   goals   Loca1on   Messi   01-­‐01-­‐2012   5   7   Argen1na   Ronaldo   01-­‐01-­‐2012   5   5   Portugal   Gomez   01-­‐01-­‐2012   2   1   Germany   Messi   01-­‐02-­‐2012   5   7   Argen1na   Ronaldo   01-­‐02-­‐2012   5   6   Portugal   Gomez   01-­‐02-­‐2012   5   1   Germany   Messi   01-­‐03-­‐2012   7   13   Argen1na   Ronaldo   01-­‐03-­‐2012   8   10   Portugal   Gomez   01-­‐03-­‐2012   7   10   Germany  
  • 11. Output Click This Link to see output in motion http://bit.ly/10BM60033_vidi_motionchart •  Scatter Graph Bar Graph
  • 12. Timeline Map !   Timeline map allows loading one or more datasets onto both a map and a timeline simultaneously. !   Example- !   Names of Persons !   Starting & Ending Date !   Latitude & Longitude of their places of Birth
  • 13. Data •  atasets must contain a column that contains the geographic latitude & longitude D start   end   la1tude   longitude   1tle   03-­‐03-­‐1839   19-­‐05-­‐1904   20.58   72.55   Jamsetji  Tata   10-­‐04-­‐1894   11-­‐06-­‐1983   28.37   75.6   GD  Birla   DhiruBhai   28-­‐12-­‐1932   06-­‐07-­‐2002   20.81   75.13   Ambani   10-­‐06-­‐1948   07-­‐04-­‐2012   26.15   87.52   Subrata  Roy  
  • 15. Timeline Map with Path !   This is a variant of the Timeline map enabling drawing paths between markers on the map. !   Example- !   Names of Persons !   Start Date !   Latitude & Longitude of their places of Birth
  • 16. Data •  atasets must contain a column that contains the geographic latitude & longitude D Start   La1tude   Longitude   Title   03-­‐03-­‐1839   20.58   72.55   Jamsetji  Tata   10-­‐04-­‐1894   28.37   75.6   GD  Birla   DhiruBhai   28-­‐12-­‐1932   20.81   75.13   Ambani   10-­‐06-­‐1948   26.15   87.52   Subrata  Roy  
  • 18. Geo Data !   Tag Map !   Intensity Map !   Geo Map !   Timeline Map !   Timeline Map with Path !   KML on Google Earth
  • 19. Tag Map !   Allows to see tags on a map !   Example- !   Names of the IPL teams !   Their States !   Ranking in 2011
  • 20. !  Data Datasets must contain a column that contains the geographic latitude & longitude Team Rankings Latitude Longitude Delhi Daredevil 10 28.40 77.13 Mumbai Indians 3 18.58 72.49 Rajasthan Royals 6 26.55 75.49 Pune Warriors 9 18.32 73.52 Kochi Tuskers 7 9.58 76.14 Kolkata Knight Riders 4 22.34 88.22 Royal Challegers Banglore 2 12.59 77.35 Chennai Super Kings 1 13.5 80.17 Deccan Chargers 8 17.22 78.28 Kings XI Punjab 5 30.44 76.47
  • 22. Intensity Map !  A color coded map showing intensity !   Different color or shades represent intensity or changes !   Given Example- !   Differencesin GDP of countries by both PPP and Per Capita
  • 23. !  Data The first column should be a text, and contain country ISO codes Country $ GDP(PPP) $ GDP(per Capita) US! 15064 48417 CN! 11316 21592 IN! 4469 1527 JP! 4395 45774 DE! 3089 44558 RU! 2376 13236 BR! 2309 12917 GB! 2253 39604 FR! 2216 44401 IT! 1828 37046
  • 25. Geo Map !   Mapof a country, continent or region with colors & values assigns to specific area !   Given Example- !   Popularity of IPL Teams
  • 26. !  Data Dataset must include either country ISO codes or latitude/longitude positions Latitude Longitude Popularity 28.40 77.13 100 18.58 72.49 800 26.55 75.49 500 18.32 73.52 200 9.58 76.14 400 22.34 88.22 700 12.59 77.35 900 13.5 80.17 1000 17.22 78.28 300 30.44 76.47 600
  • 28. Comparative Data !   Pie Chart !   Gauge Chart !   Bar Chart !   Area Chart !   Column Chart !   Line Chart !   Scatter Chart
  • 29. Business Value !  The meaning of the data can be found out by Infographics, where design meets data. !  A simple visualization like color, size or orientation makes the comprehension almost instant. !  Colors can be used to show correlation, size can be used to show quantity, orientation can be used to show trends etc. !  The power of design can be used to communicate all sorts of information, processes, hierarchy, anomaly, chronology – in a better way. !  Better communication through innovation as one’s message is only as good as one’s ability to share it. VIDI makes this possible through the various visualizations it offer
  • 30. Drawbacks !   The visualization wizard is a lot easier to use than the embed code !   One need to save the visualization and go to the "My VIDI" page to get embed code that actually works !   The host's servers can not handle large traffic