
Tableau
New in 8: Javascript API pt. II
Reposted from Chris Webb's blog with the author's permission. Sometimes you find a tool that is so cool, you can’t believe no-one else has picked up on it before. This is one of those times: a few month or so ago I came across a new tool called Layerscape ( http://www.layerscape.org ) from Microsoft Research which allows you to overlay data from Excel onto maps in Microsoft WorldWide Telescope ( http://www.worldwidetelescope.org ). “What is WorldWide Telescope?” I hear you ask – well, it’s basically Microsoft Research’s answer to Google Earth, although it’s not limited to the Earth in that it also contains images of the universe from a wide range of ground and space-based telescopes. It’s a pretty cool toy in its own right, but Layerscape – which seems to be aimed at academics, despite the obvious business uses – turns it into a pretty amazing BI visualisation tool.
Self-Service BI Mapping with Layerscape
Step 1 Select Start > All Programs Geoserver 2.0.2 > Start GeoServer . A command window opens and runs setup procedures, ending with ConfigurationLoader completed . Step 2 Start Tableau Desktop. Step 3
Deploying a WMS for use with Tableau
Mapping Basics
Choropleth Maps with Tableau
3 different workarounds to create choropleth maps with Tableau With Tableau Software it is really easy to overlay your data on a dynamic map even without having latitudes and longitudes in the underlying data. However, Tableau does not (yet?)Polygon Files Structures - Solid Color Maps
Step 1 Open the .DBF of the output shapefile into a program such as Excel. At a minimum, the file must contain the following fields for correct import into Tableau: [ID] or [ET_ID] - either of these two fields can be used for the Level of Detail shelf [ET_X] - this field corresponds to the longitude coordinate of the record [EY_Y] - this field corresponds to the latitude coordinate of the record [ET_ORDER] - this field contains the draw order of the points and is used in the Path shelf for the polygon Please note that you can change the header names here to be more informative to the Tableau user. When ready, save the updated file to a data source supported in Tableau such as an Excel or Access format.
Tableau Polygons from Shapefiles
Step 1 In the Measures pane double-click LONGITUDE and then double-click LATITUDE . Tableau adds Longitude to the Columns shelf and Latitude to the Rows shelf.
Creating Polygon-Shaded Maps
Clearly and Simply: Choropleth Maps
Magic Quadrant for Business Intelligence Platforms
BI 101
(perhaps this should be called Business Intelligence – the first steps) Business Intelligence (or Business Analytics) is the process of analyzing data generated in the process of running a business. That analysis will, hopefully, result in information (“information” is data that is useful) that we can use to make better business decisions. I have a Seller’s Account on amazon.com, and over the past 3 years, I have sold 167 items.This posting will show, and discuss, amazon.com sales data using Tableau for business intelligence analytics. Working from the same amazon.com sales data set discussed yesterday, I constructed a spreadsheet with seven columns: id, Date, Weekday, Time (Pacific), buyer time zone, buyer time, and cd/book: I saved the file as amazon_detail.xlsx , quit Excel, opened Tableau 7.0, and connected to the spreadsheet (because the data set is not large, I imported all of it into Tableau, instead of “connecting live”). Tableau makes each non-numeric column a “Dimension”, and each numeric column a “Measure”.
BI 102
I am curious about the geographic distribution of my sales, so I added two columns to my original spreadsheet: ZIP and state . After populating them (in Excel) and saving, I refreshed the file link in Tableau, and the two new columns were successfully brought in as new Dimensions: If you drag the ZIP dimension over onto the lower-right “Drop field here” box, the program will automatically calculate the correct latitude and longitude. The results are displayed on a map:

