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BUSINESS INTELLIGENCE
TOOL
TIBCO Spotfire
INTRODUCTION
   Quick to analyze data and share on the web.
   Data could be imported from Desktop File, Network File
    System, Database.
   Visualize data:
       Clear concise sleek and colorful visualizations.
       Bar charts, cross tables, scatter plots, tree map, combination
        chart etc could be generated.
       Features are easy to use through point-and-click and drag-and-
        drop.
       Tool Tips, Tags, Formatting , Color Patterns etc to enhance
        Interactivity.
       Data Relationship using Regression, Anova, Clustering,
        Spearman Co-efficient etc could be studied.
       Share your Results:
       Data could be shared as Image, html, ppt, pdf and also printed.
INSTALLING THE TIBCO SPOTFIRE
CLIENT
   System Requirement:
       OS: MS Windows 7; vista; XP SP3.
       Processor: 1 GHz.
       RAM: 512 MB ( minimum recommended).
       Hard Disk Space: Approx 90 MB.
       Further Details:
        http://support.spotfire.com/sr_spotfire_silverspotfire.asp
       Register and Download:
       use the link:
        https://silverspotfire.tibco.com/us/download
       Start Up and Login:
       Launch the Spotfire Client and login with your credentials.
USING SPOTFIRE: LOAD DATA

   Sources of Data Import:
       Pasting from clipboard.
       From simple text files.
       Microsoft excel Files.
       SAS Files.
       Database.
       Information Link.
       Load Data from File, Text, Excel:
     Click on File> Open.
                                             StoreSales.txt
     Browse to the file click Open.
     Look through the preview and make settings as
      desired for the data set > click OK.
USING SPOTFIRE: LOAD DATA
..USING SPOTFIRE LOAD DATA..
        DATA MANIPULATIONS
 The data type of the columns could be selected as
  Integer, Real, Currency, date , Time etc.
 The row type be selected as Data Row, Ignore,
  Name Row and Type Row.
 The data in a particular file could be normalized,
  could be used for computation of additional
  columns using relational operators, the column
  names could be formatted- some of the features of
  data set manipulations.
 Multiple data files could be added to the existing
  files.
 The relationship between the columns of the files
  could be defined.
..USING SPOTFIRE LOAD DATA
    DATA MANIPULATIONS
USING SPOTFIRE VISUALIZATION
   The various visualizations offered by the tool are:
       Table
       Cross Table
       Graphical Table
       Bar Chart
       Line Chart
       Combination Chart
       Pie Chart
       Scatter Plot
       3D Scatter Plot
       Map Chart
       Tree Map
       Heat Map
       Parallel Coordinate Plot
       Summary Table
       Box Plot
..USING SPOTFIRE VISUALIZATION..
        VISUALIZATION PROPERTIES
   The properties for the selected visualization
    could be set:
       Data: Data could be highlighted using markings,
        also selected markings could be included, omitted.
       Data: Data to be included could be limited using filter
        schemes.
       Data: Data to be shown could be limited using
        expressions.
       Appearance, Format, Fonts can be defined.
       X-axis, Y-axis: Columns, Scale Order, inclusion of
        slider and grid lines, Label View.
       Color, Label, Tooltip properties can be added to
        desired values.
..USING SPOTFIRE VISUALIZATION..
           PAGE VIEW
   Multiple Visualizations on a page could be
    viewed in the following patterns:
     Arrange Evenly
     Arrange Side by Side
     Arrange Stacked
     Maximize Active
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
   For the data file StoreSales.txt we generate the
    following visualization:
     Goods Per Type Per Gender.
     Total Sales Per Age Group Per Gender.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
 Goods Per Type Per Gender:
 Select Pie Chart as the visualization: Insert > New
  Visualization > Pie Chart.
 In the dropdown- Color By : Select “(Column Names)”
 In the dropdown- Sector Size By: Select “Select
  Columns..” In the selection box now:
      Select the column “Electronics” and Add apply the
       aggregation “’Sum” to it.
      Select the column “Furniture” and Add apply the

       aggregation “’Sum” to it.
      Select the column “Garden” and Add apply the aggregation

       “’Sum” to it.
      Select the column “Groceries” and Add apply the

       aggregation “’Sum” to it.
      Select the column “Toys” and Add apply the aggregation

       “’Sum” to it.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
   Right Click and Select “Properties”.
   Select Trellis .
   Check the radio button “Rows and Columns” .
   In Rows dropdown select Gender.
   Close.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
..USING SPOTFIRE VISUALIZATION..
           VISUALIZATIONS




Select (Column Names) In   Select “Select Columns..” In
dropdown Color By:         the dropdown Sector Size By:
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




Select the columns apply aggregation “Sum” to them click OK.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




Right Click Select “Properties” In “Trellis” In the Rows dropdown
Select “Gender”.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




          Goods Per Type Per Gender
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
   Total Sales per age group per gender:
     Select Bar Chart as the visualization: Insert > New
      Visualization > Bar Chart.
     Right Click and Select “Properties”.
         In “Appearance” check “Stacked Bars” Radio Button.
         In “Category Axis” in dropdown “Columns:” select “Age

          Group”.
         In “Value Axis” in dropdown “Columns:” select “total”.

         In “Colors” in dropdown “Columns:” select “gender”.




                       Goods Per Type Per Gender
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




         Right click select “Properties”
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




In “Appearance” under “Layout:” check radio button “Stacked Bars”.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




In “Category Axis” in dropdown “Columns:” select “Age Group”.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




  In “Value Axis” in dropdown “Columns:” select “Total”.
..USING SPOTFIRE VISUALIZATION..
         VISUALIZATIONS




In “Color” in dropdown “Columns:” select “Gender” and click “Close”.
..USING SPOTFIRE VISUALIZATION
         VISUALIZATIONS




      Total Sales Per Age Group Per Gender
USING SPOTFIRE: DATA
                    RELATIONSHIPS
                     REGRESSION
   Go to Tools > Data Relationships.
   Select “Linear Regression” in the Dropdown “Comparison
    Method”.
   In the “Available Y Columns” add:
       Total.
   In the “Available X Columns” add:
       Age Group
       Customer Age
       Electronics
       Furniture
       Garden
       Groceries
       Number of Purchases
       Receipt Average
       Toys
       Click OK.
USING SPOTFIRE: DATA
   RELATIONSHIPS
   ..REGRESSION..
USING SPOTFIRE: DATA
   RELATIONSHIPS
    ..REGRESSION
USING SPOTFIRE: SHARE RESULTS
 To export use File > Export.
 Export Options:
       Image
       Data
       To Microsoft PowerPoint
       To PDF
       To HTML
THANK YOU

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TibcoSpotfire@VGSoM

  • 2. INTRODUCTION  Quick to analyze data and share on the web.  Data could be imported from Desktop File, Network File System, Database.  Visualize data:  Clear concise sleek and colorful visualizations.  Bar charts, cross tables, scatter plots, tree map, combination chart etc could be generated.  Features are easy to use through point-and-click and drag-and- drop.  Tool Tips, Tags, Formatting , Color Patterns etc to enhance Interactivity.  Data Relationship using Regression, Anova, Clustering, Spearman Co-efficient etc could be studied.  Share your Results:  Data could be shared as Image, html, ppt, pdf and also printed.
  • 3. INSTALLING THE TIBCO SPOTFIRE CLIENT  System Requirement:  OS: MS Windows 7; vista; XP SP3.  Processor: 1 GHz.  RAM: 512 MB ( minimum recommended).  Hard Disk Space: Approx 90 MB.  Further Details: http://support.spotfire.com/sr_spotfire_silverspotfire.asp  Register and Download:  use the link: https://silverspotfire.tibco.com/us/download  Start Up and Login:  Launch the Spotfire Client and login with your credentials.
  • 4. USING SPOTFIRE: LOAD DATA  Sources of Data Import:  Pasting from clipboard.  From simple text files.  Microsoft excel Files.  SAS Files.  Database.  Information Link.  Load Data from File, Text, Excel:  Click on File> Open. StoreSales.txt  Browse to the file click Open.  Look through the preview and make settings as desired for the data set > click OK.
  • 6. ..USING SPOTFIRE LOAD DATA.. DATA MANIPULATIONS  The data type of the columns could be selected as Integer, Real, Currency, date , Time etc.  The row type be selected as Data Row, Ignore, Name Row and Type Row.  The data in a particular file could be normalized, could be used for computation of additional columns using relational operators, the column names could be formatted- some of the features of data set manipulations.  Multiple data files could be added to the existing files.  The relationship between the columns of the files could be defined.
  • 7. ..USING SPOTFIRE LOAD DATA DATA MANIPULATIONS
  • 8. USING SPOTFIRE VISUALIZATION  The various visualizations offered by the tool are:  Table  Cross Table  Graphical Table  Bar Chart  Line Chart  Combination Chart  Pie Chart  Scatter Plot  3D Scatter Plot  Map Chart  Tree Map  Heat Map  Parallel Coordinate Plot  Summary Table  Box Plot
  • 9. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATION PROPERTIES  The properties for the selected visualization could be set:  Data: Data could be highlighted using markings, also selected markings could be included, omitted.  Data: Data to be included could be limited using filter schemes.  Data: Data to be shown could be limited using expressions.  Appearance, Format, Fonts can be defined.  X-axis, Y-axis: Columns, Scale Order, inclusion of slider and grid lines, Label View.  Color, Label, Tooltip properties can be added to desired values.
  • 10. ..USING SPOTFIRE VISUALIZATION.. PAGE VIEW  Multiple Visualizations on a page could be viewed in the following patterns:  Arrange Evenly  Arrange Side by Side  Arrange Stacked  Maximize Active
  • 11. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS  For the data file StoreSales.txt we generate the following visualization:  Goods Per Type Per Gender.  Total Sales Per Age Group Per Gender.
  • 12. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS  Goods Per Type Per Gender:  Select Pie Chart as the visualization: Insert > New Visualization > Pie Chart.  In the dropdown- Color By : Select “(Column Names)”  In the dropdown- Sector Size By: Select “Select Columns..” In the selection box now:  Select the column “Electronics” and Add apply the aggregation “’Sum” to it.  Select the column “Furniture” and Add apply the aggregation “’Sum” to it.  Select the column “Garden” and Add apply the aggregation “’Sum” to it.  Select the column “Groceries” and Add apply the aggregation “’Sum” to it.  Select the column “Toys” and Add apply the aggregation “’Sum” to it.
  • 13. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS  Right Click and Select “Properties”.  Select Trellis .  Check the radio button “Rows and Columns” .  In Rows dropdown select Gender.  Close.
  • 15. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS Select (Column Names) In Select “Select Columns..” In dropdown Color By: the dropdown Sector Size By:
  • 16. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS Select the columns apply aggregation “Sum” to them click OK.
  • 17. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS Right Click Select “Properties” In “Trellis” In the Rows dropdown Select “Gender”.
  • 18. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS Goods Per Type Per Gender
  • 19. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS  Total Sales per age group per gender:  Select Bar Chart as the visualization: Insert > New Visualization > Bar Chart.  Right Click and Select “Properties”.  In “Appearance” check “Stacked Bars” Radio Button.  In “Category Axis” in dropdown “Columns:” select “Age Group”.  In “Value Axis” in dropdown “Columns:” select “total”.  In “Colors” in dropdown “Columns:” select “gender”. Goods Per Type Per Gender
  • 21. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS Right click select “Properties”
  • 22. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS In “Appearance” under “Layout:” check radio button “Stacked Bars”.
  • 23. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS In “Category Axis” in dropdown “Columns:” select “Age Group”.
  • 24. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS In “Value Axis” in dropdown “Columns:” select “Total”.
  • 25. ..USING SPOTFIRE VISUALIZATION.. VISUALIZATIONS In “Color” in dropdown “Columns:” select “Gender” and click “Close”.
  • 26. ..USING SPOTFIRE VISUALIZATION VISUALIZATIONS Total Sales Per Age Group Per Gender
  • 27. USING SPOTFIRE: DATA RELATIONSHIPS REGRESSION  Go to Tools > Data Relationships.  Select “Linear Regression” in the Dropdown “Comparison Method”.  In the “Available Y Columns” add:  Total.  In the “Available X Columns” add:  Age Group  Customer Age  Electronics  Furniture  Garden  Groceries  Number of Purchases  Receipt Average  Toys  Click OK.
  • 28. USING SPOTFIRE: DATA RELATIONSHIPS ..REGRESSION..
  • 29. USING SPOTFIRE: DATA RELATIONSHIPS ..REGRESSION
  • 30. USING SPOTFIRE: SHARE RESULTS  To export use File > Export.  Export Options:  Image  Data  To Microsoft PowerPoint  To PDF  To HTML