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Former Member


This is my entry to Data Geek III challenge under House of Spirit “Caring for the Social Good”. I am very new to SAP Lumira about a month old. Lumira allows us to experiment by using Visualization and Data access extensions. It is the one of the best loosely coupled tool. Data access extension (DAE) allows us code in language of our choice (Java, C# python etc) and there is no limit to what we can do in Lumira. It enables us to access anything available on open internet and create amazing visualizations standard or custom.

Idea: My idea is to show case the power of data access extension (DAE) and get Live Data from World Bank RESTful APIs in XML format, create visualization using standard charts, info graphics and minor visualization  extension and also few steps towards building a Generic Data Access Extension (DAE). Story is called “Socio Economic Analysis”. It allows you to do country wise analysis of Indicators Economy, Growth, Population and social development. Along with DAE, I have shown integration with ESRI, Visualization extension to load countries flag, lots of charts and Info Graphs.

1. World Bank Indicators & APIs:

The World Bank Indicators API lets you programmatically access more than 13000 indicators and query the data in several ways, using parameters to specify your request. Many data series date back 50 years, and can be used to create interesting visualization. APIs implement RESTful interfaces to allow users to perform queries of available data using selection parameters. For the Indicators API XML and JSON representations are available (I have handled XML format responses).

I have used only 25 Indicators for years 2000-2013 data out of 13000+ indicators (For details please refer to the attachment). This resulted into pulling out total 90300 records from World Bank Live into Lumira.  (25 indicators X 3612 records for each indicator).

To see all available indicators from World Bank use below link.

XML Response:

Website: Indicators | Data

e.g. Indicator NY.GDP.MKTP.CD will return GDP (current US$) for each country per year. (For details the details of indicator accessed live for building this analysis)                 

2. Data Access Extension Architecture

3. Data Access Extension Workflow

   3.1 Steps 1 & 2 (Dynamic Generation of URL)

There are two configuration files config.txt and param.txt. Configuration files help in forming URL on run time and avoid hard coding URL in java program.








Double pipe is used to separate multiple values of VARs. So once program starts parsing the entry in config.txt files for VAR1, it generates four difference URLs to make http connection. Extension processes all VARs entries from top to bottom and accordingly generates URLs.

URL formed based on above config file entry:


So far param.txt has only one entry. I am yet to think about other parameters which to make extension more generic. DEBUG=Y flags determine writing of log file for trouble shooting. Default is DEBUG=N

Log files Entries:

****Start of Logging: Mon Nov 10 19:28:59 IST 2014 *****

[StartBlock]: -mode preview -locale en -size 300

[ConnectBlock]: Success

[ParseBlock]: Success

[ConsoleWrite]: Success

****End of Logging: Mon Nov 10 19:28:59 IST 2014 ****

Note: Logging in DEBUG mode & error handling should be exhaustive to help us the troubleshooting of an extension lying in some remote desktop.

   3.2 Steps 3, 4 & 5

Below step is to be repeated for all dynamically formed URLs.

URL url = new URL(urlFormed);

HttpURLConnection conn = (HttpURLConnection) url.openConnection();


conn.setRequestProperty("Accept", "application/xml");

//System.setProperty("http.proxyHost", "proxy");                               -- Optional

//System.setProperty("http.proxyPort", "8080");                                 -- Optional

//System.setProperty("http.proxyUser", "ItsMe");                               -- Optional

//System.setProperty("http.proxyPassword", "Hellopassword");    -- Optional

if (conn.getResponseCode() != 200) {

                                                     throw new RuntimeException("Failed : HTTP error code : "

                                                                              + conn.getResponseCode());


  3.2 Step 6

All XML responses are to be merged in single XML response and later converted into comma separated format for console writing. For merging we need to added child element from subsequent responses to the root node of first response. You may use third part jars available or write your own.

4. Lumira Story (Desktop Version used 1.19)

Selecting WorldBankClient.exe

Execution of extension

Page1: First is the welcome page. It shows the list indicator which we would be analyzing. Economy and Growth, Population, Social Development, Health & Gender, Agriculture.

Page 2: This page integrates Lumira with ESRI geo charts and shows the income level spread of all countries. Africa has the highest concentration of Low Income Countries and Europe High income countries.

Page 3: This is the main dashboard for economy and growth indicators based on the country selected. Visualization extension loads the country flag depending on the country selection. Highlights->

  • Show the current GPD in USD, GDP growth%, GDP per capita.
  • Draws a trend of GDP growth % for a country and compares it with aggregated values at region and world level. E.g. For Australia it shows trend comparison between the country, East Asia pacific and World.
  • Shows the trend of export/import % contribution to the overall GDP.

Page 4: Shows the new indicator population’s cloud. 

Page 5: This is the main dashboard for Population. Highlights->  

  • Show the total, urban and rural population.
  • Draws a trend of population growth % for a country and compares it with aggregated values at region and world level. E.g. for India it shows trend comparison between the country, south Asia and World.
  • Shows the stacked bar age wise % of total population. Age tires are 0-14, 15-64 and 64+.

Page 5 InfoGraph: Info Graph, Shows the Social development of African country Ethiopia’s social development score card. It mainly projects indicators Life expectancy at birth, HIV prevalence %, Access to water sources in urban/rural areas, access sanitation facilities, health expenditure, cellular subscription etc.


Indicators | Data

For Developers | Data

API Documentation | Data

Basic Call Structure | Data

Thanks for reading it. Hope you found it interesting.

Best Regards,

Mayank Mishra

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