+1 , Are we going to add aggregate functions as well ( Ex. AVG ) to support
following types of queries.

Plot line chart of AVG GDP per decade.

Thanks
Jo




On Mon, Dec 15, 2014 at 12:00 AM, Anjana Fernando <[email protected]> wrote:
>
> More correctly, most probably BAM 3.1 plans :) ..
>
> Cheers,
> Anjana.
>
> On Mon, Dec 15, 2014 at 7:16 AM, Anjana Fernando <[email protected]> wrote:
>>
>> Hi,
>>
>> I guess, for BAM 3.0, this can be the base for our eventual KPI
>> implementation as well. We will just need some additional functionality to
>> provide some limits to the data/visualizations we are having, and to show
>> it in an appropriate way, and to trigger alerts etc.. Looking forward to
>> checking out the initial implementation of this, so probably the BAM team
>> can enhance it with the other required features.
>>
>> Cheers,
>> Anjana.
>>
>> On Mon, Dec 8, 2014 at 7:42 PM, Srinath Perera <[email protected]> wrote:
>>>
>>> Currently to visualize the data, users have to write their own gadgets.
>>> If a advanced user this is OK, but not for all. Specially, things like
>>> drill downs need complicated planning.
>>>
>>> I believe it is possible to start with data in tabular form, and write a
>>> generic Gadget that let user configure and create his own data chart with
>>> filters and drill downs.
>>>
>>> Chart could look like following ( some of the controls can be hidden
>>> under configure button)
>>>
>>> ​
>>> Lets work though an example.
>>>
>>> 1) Key idea is that we load data to the Gadget as a table (always).
>>> Following can be a example data.
>>>     *Country* *Year* *GDP* *Population* *LifeExpect*  Sri Lanka 2004 20
>>> 19435000 73  Sri Lanka 2005 24 19644000 73  Sri Lanka 2006 28 19858000
>>> 73  Sri Lanka 2007 32 20039000 73
>>> 2) When Gadget is loaded, it shows the data as a table. User can select
>>> and add a data type and fields.  Following are some example.
>>>
>>>    1. Line - two Numerical  fields
>>>    2. Bar - one numerical, one categorical field
>>>    3. Scatter - two numerical fields
>>>    4. Map - Location field + categorical or numerical field
>>>    5. Graph - two categorical or string fields that provide links
>>>
>>>
>>> 3) Let user add more information to the chart using other fields in the
>>> table
>>>
>>>    1. Add  color (Categorical field) or shade (numerical field) to the
>>>    plot (e.g. Use different color for each country)
>>>    2. Point Size - Numerical field (e.g. Adjust the point size in the
>>>    scatter plot according to the population)
>>>    3. Label - any field
>>>
>>> 4) Then he can add filters based on a variable. Then the chart will have
>>> sliders (for numerical data) and tick buttons (for categorical data). When
>>> those sliders are changed they will change the chart.
>>>
>>> 5) Final step is define drill downs. Drill downs are done using two
>>> columns in the table that has hierarchical relationships. (e.g. Country and
>>> State fields, Year and month fields) . We need users to select two of those
>>> fields and tell us about relationships and then we can code the support of
>>> drill downs.
>>>
>>> When above steps are done, user save configs and save it in the DataViz
>>> store as a visualisation, so others can pull it and use it.
>>>
>>> This will not cover all cases, but IMO it will cover 80% and also a very
>>> good tool for demos etc.
>>>
>>> Please comment
>>>
>>> --Srinath
>>>
>>>
>>>
>>> --
>>> ============================
>>> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
>>> Site: http://people.apache.org/~hemapani/
>>> Photos: http://www.flickr.com/photos/hemapani/
>>> Phone: 0772360902
>>>
>>
>>
>> --
>> *Anjana Fernando*
>> Senior Technical Lead
>> WSO2 Inc. | http://wso2.com
>> lean . enterprise . middleware
>>
>
>
> --
> *Anjana Fernando*
> Senior Technical Lead
> WSO2 Inc. | http://wso2.com
> lean . enterprise . middleware
>
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>

-- 

-- 
*Joseph Fonseka*
 WSO2 Inc.; http://wso2.com
lean.enterprise.middleware

mobile: +94 772 512 430
skype: jpfonseka

* <http://lk.linkedin.com/in/rumeshbandara>*
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