Opps here it is:

http://www-958.ibm.com/software/analytics/manyeyes/visualizations/apache-openoffice-downloads-by-pop

On Wed, Jan 23, 2013 at 10:59 AM, Samer Mansour <[email protected]> wrote:

> Here is an updated map.  I moved to bubble chart because coloring the
> country made places like Russia and Canada look odd.
> I will see if I can make other visualizations as well, maybe Map is not
> the best visualization.
>
>
> On Wed, Jan 23, 2013 at 3:10 AM, Kadal Amutham <[email protected]> wrote:
>
>> Dear Rob Weir,
>>
>> The internet user data has been filled
>>
>> With Warm Regards
>>
>> V.Kadal Amutham
>> 919444360480
>> 914422396480
>>
>>
>> On 23 January 2013 07:23, Kadal Amutham <[email protected]> wrote:
>>
>> > I will start filling the internet user data
>> >
>> > With Warm Regards
>> >
>> > V.Kadal Amutham
>> > 919444360480
>> > 914422396480
>> >
>> >
>> > On 23 January 2013 01:38, Rob Weir <[email protected]> wrote:
>> >
>> >> On Tue, Jan 22, 2013 at 12:11 PM, Kadal Amutham <[email protected]>
>> wrote:
>> >> > Check the google document at
>> >> >
>> >>
>> https://docs.google.com/spreadsheet/ccc?key=0Av4Lhq3W5zKodGZtNU1oRGFjWi1kYXkzVEtjOWY1ZlE#gid=0
>> >> >
>> >> > I have entered the population data alone
>> >> >
>> >>
>> >> Very good. I made some edits and also received a spreadsheet with some
>> >> more data from Gianvittorio.
>> >>
>> >> The results are interesting.  For example, what countries have the
>> >> highest percentage of downloads by population?  The top 5 are:
>> >>
>> >> 1) Gambia
>> >> 2) Trinidad and Tobago
>> >> 3) Zimbabwe
>> >> 4) Vatican City
>> >> 5) Saint Pierre and Miquelon
>> >>
>> >> It will be interesting to see how the data is when we look at usage
>> >> per internet users in a country.
>> >>
>> >> But however we slice the data we'll have this problem:  For very small
>> >> countries, just a few downloads can shift the ratio by a large amount.
>> >>  For example, the Vatican City had around 100 downloads.  So a
>> >> difference of 10 downloads is 10%.  France had 4.5 million downloads.
>> >> A difference of 10 downloads is nothing.
>> >>
>> >> I've seen this handled in other contexts by applying statistical
>> >> techniques to estimate error bounds on the ratio, and then rank by the
>> >> lower confidence limit.  You can see the technique described (and
>> >> formulas given) here:
>> >> http://evanmiller.org/how-not-to-sort-by-average-rating.html
>> >>
>> >> -Rob
>> >>
>> >> > With Warm Regards
>> >> >
>> >> > V.Kadal Amutham
>> >> > 919444360480
>> >> > 914422396480
>> >> >
>> >> >
>> >> > On 22 January 2013 22:26, Kadal Amutham <[email protected]> wrote:
>> >> >
>> >> >> Good show. I have almost entered the population data into the spread
>> >> >> sheet. Then I have to populate the internet user data. Once it is
>> >> over, I
>> >> >> will let you know.
>> >> >>
>> >> >> With Warm Regards
>> >> >>
>> >> >> V.Kadal Amutham
>> >> >> 919444360480
>> >> >> 914422396480
>> >> >>
>> >> >>
>> >> >> On 22 January 2013 21:37, Samer Mansour <[email protected]> wrote:
>> >> >>
>> >> >>> We don't have internet users completely populated so from the data
>> we
>> >> >>> currently have I whipped something up in 5 mins at work.
>> >> >>> This is just the top 40 Countries.  Its manual data entry, once we
>> >> have
>> >> >>> internet users populated and I will resolve things like "Hong
>> Kong" ->
>> >> >>> "China" and Singapore -> South Korea.
>> >> >>>
>> >> >>> I can maybe finish some data entry tonight.
>> >> >>>
>> >> >>>
>> >> >>>
>> >>
>> http://www-958.ibm.com/software/analytics/manyeyes/visualizations/aoo-test-visualization
>> >> >>>
>> >> >>> This is a PNG output:
>> >> >>>
>> >> >>>
>> >>
>> http://www-958.ibm.com/software/analytics/manyeyes/vis/FullScreen/fullscreenvisualization.html?id=files%2Fthumbnails%2Ffed90050-64ac-11e2-926b-000255111976.wm.png&visId=ff062cd864ac11e2926b000255111976
>> >> >>>
>> >> >>> On Mon, Jan 21, 2013 at 7:44 AM, Rob Weir <[email protected]>
>> wrote:
>> >> >>>
>> >> >>> > On Sun, Jan 20, 2013 at 10:34 PM, Kadal Amutham <
>> [email protected]>
>> >> >>> wrote:
>> >> >>> > > Dear Mr. Rob, I tried to edit the document, but it is read
>> only.
>> >> Can
>> >> >>> you
>> >> >>> > > make it readable so that everybody can fill the data?
>> >> >>> > >
>> >> >>> >
>> >> >>> > OK.  I gave you and Samer write permissions.
>> >> >>> >
>> >> >>> >
>> >> >>> > -Rob
>> >> >>> >
>> >> >>> >
>> >> >>> > > With Warm Regards
>> >> >>> > >
>> >> >>> > > V.Kadal Amutham
>> >> >>> > > 919444360480
>> >> >>> > > 914422396480
>> >> >>> > >
>> >> >>> > >
>> >> >>> > > On 21 January 2013 09:01, Kadal Amutham <[email protected]>
>> wrote:
>> >> >>> > >
>> >> >>> > >> Who ever finds time, can fill the remaining Data, so that the
>> >> >>> document
>> >> >>> > >> become complete
>> >> >>> > >>
>> >> >>> > >> With Warm Regards
>> >> >>> > >>
>> >> >>> > >> V.Kadal Amutham
>> >> >>> > >> 919444360480
>> >> >>> > >> 914422396480
>> >> >>> > >>
>> >> >>> > >>
>> >> >>> > >> On 21 January 2013 07:46, Rob Weir <[email protected]>
>> wrote:
>> >> >>> > >>
>> >> >>> > >>> On Sat, Jan 19, 2013 at 12:34 PM, Roberto Galoppini <
>> >> >>> > [email protected]>
>> >> >>> > >>> wrote:
>> >> >>> > >>> > On Fri, Jan 18, 2013 at 10:34 PM, Rob Weir <
>> >> [email protected]>
>> >> >>> > wrote:
>> >> >>> > >>> >
>> >> >>> > >>> >> I was thinking of putting together a world map showing the
>> >> use of
>> >> >>> > >>> >> OpenOffice, the kind with each country shaded or color
>> coded
>> >> to
>> >> >>> show
>> >> >>> > >>> >> the density of use.
>> >> >>> > >>> >>
>> >> >>> > >>> >> I can easily get a data set showing the total number of
>> >> >>> downloads of
>> >> >>> > >>> >> OpenOffice per country.  But the raw numbers don't really
>> >> tell
>> >> >>> the
>> >> >>> > >>> >> story.  It would show, probably, that the USA has the most
>> >> >>> > downloads.
>> >> >>> > >>> >> But that is probably also because of its large population.
>> >> >>> > >>> >>
>> >> >>> > >>> >> So maybe we then show downloads per capita, or downloads
>> per
>> >> >>> 100,000
>> >> >>> > >>> >> population.  But that then becomes a proxy for economic
>> >> >>> development,
>> >> >>> > >>> >> since there are highly populated countries with fewer
>> >> computers
>> >> >>> per
>> >> >>> > >>> >> capital, and low population countries with more computers,
>> >> etc.
>> >> >>>  I
>> >> >>> > >>> >> don't think that is what we want to show.
>> >> >>> > >>> >>
>> >> >>> > >>> >> So, I'm wondering, has anyone seen data for something like
>> >> PCs
>> >> >>> per
>> >> >>> > >>> >> capita, or home computers, or internet users, or some
>> other
>> >> proxy
>> >> >>> > for
>> >> >>> > >>> >> what our potential usership would be per country?
>> >> >>> > >>> >>
>> >> >>> > >>> >
>> >> >>> > >>> > Maybe we can use internet users stats by country, something
>> >> like:
>> >> >>> > >>> >
>> >> >>> > >>>
>> >> >>> >
>> >> >>>
>> >>
>> http://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_usersto
>> >> >>> > >>> > normalize our stats.
>> >> >>> > >>> >
>> >> >>> > >>>
>> >> >>> > >>> Thanks, that looks useful.  I started entering the data into
>> a
>> >> >>> > >>> spreadsheet:
>> >> >>> > >>>
>> >> >>> > >>>
>> >> >>> > >>>
>> >> >>> >
>> >> >>>
>> >>
>> https://docs.google.com/spreadsheet/ccc?key=0Av4Lhq3W5zKodGZtNU1oRGFjWi1kYXkzVEtjOWY1ZlE
>> >> >>> > >>>
>> >> >>> > >>> As you see, Italy is at the top, if you look at downloads per
>> >> 1000
>> >> >>> > >>> internet users, with 91.  So nearly one in ten in Italy have
>> >> >>> > >>> downloaded AOO!
>> >> >>> > >>>
>> >> >>> > >>> -Rob
>> >> >>> > >>>
>> >> >>> > >>> >
>> >> >>> > >>> >
>> >> >>> > >>> >> Regards,
>> >> >>> > >>> >>
>> >> >>> > >>> >> -Rob
>> >> >>> > >>> >>
>> >> >>> > >>> >
>> >> >>> > >>> > --
>> >> >>> > >>> > ====
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>> >> >>> > >>> >
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>> >> >>> > >>
>> >> >>> > >>
>> >> >>> >
>> >> >>>
>> >> >>
>> >> >>
>> >>
>> >
>> >
>>
>
>

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