In Module 5, have additional example to use other than the Los Angeles specific project

[retrogamer80s]

We want something that kids from across the US can relate to

[Rek3650]

I'm not quite sure we will be able to fully generalize the Los Angeles activity. This activity uses real world data (i.e. surveys and actual volunteer locations and organizations) and is focused on specific locations using latitude, longitude. The beginning of the lesson (pg 204-205) seems reasonably generalized as it is simply focused on teaching about latitude and longitude. The second half of the lesson is much more rooted in LA because it references specific latitude and longitudes and survey information from LA. It doesn't seem possible to generalize locations as specific as this activity calls for. The parts of the activity that are already generalized are so because they don't require specific data. To make examples that are relatable to anybody in the US we would need a set of latitude and longitude data for each region of the country. Is there a specific place you wanted us to pull data from, or would you like us to change the activity so that it no longer need location specific data?

[retrogamer80s]

Hi,

Ok, leave that activity as is.

See if there are any other data sets that are out there to use. For example
the wikipedia traffic or song data sets from https://aws.amazon.com/datasets

(there are others too, but don't pick any that are too technical).

Thanks,
--Steph

On Thu, Sep 25, 2014 at 3:07 PM, Rek3650 notifications@github.com wrote:

I'm not quite sure we will be able to fully generalize the Los Angeles
activity. This activity uses real world data (i.e. surveys
http://lacbc.files.wordpress.com/2010/06/labikecountreport.pdf and
actual volunteer locations
https://maps.google.com/maps/ms?hl=en&ie=UTF8&msa=0&msid=112719410720375281275.0004713617b7ff77b447e&dg=feature
and organizations http://la-bike.org/) and is focused on specific
locations using latitude, longitude. The beginning of the lesson (pg
204-205) seems reasonably generalized as it is simply focused on teaching
about latitude and longitude. The second half of the lesson is much more
rooted in LA because it references specific latitude and longitudes and
survey information from LA. It doesn't seem possible to generalize
locations as specific as this activity calls for. The parts of the activity
that are already generalized are so because they don't require specific
data. To make examples that are relatable to anybody in the US we would
need a set of latitude and longitude data for each region of the country.
Is there a specific place you wanted us to pull data from, or would you
like us to change the activity so that it no longer need location specific
data?

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#11 (comment).

[melissa-vuz]

Do you want us to find a new data set for the same activity or find a new data set and create a new activity with it?

[retrogamer80s]

Hi,

I saw that there are free data sets online for a bunch of things. Search for free data sets and see if a new activity can be made with one of them or from a subset of one.

Thanks,
Steph

Sent from my iPad

On Oct 2, 2014, at 12:59 PM, melissay94 notifications@github.com wrote:

Do you want us to find a new data set for the same activity or find a new data set and create a new activity with it?

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[Rek3650]

Found a list of much more easily accessible data sets than the amazon ones. They are also in a format that works with JGR (the application used in the lesson).
http://vincentarelbundock.github.io/Rdatasets/datasets.html

[retrogamer80s]

Hi,

Looks like a good resource - lots of variety.

Please put the link in the resources area of the appropriate lesson doc.

Take a closer look at the following:

Brain and Body Weights for 62 Species of Land Mammals
Internet Use by the Minute

and see how easily they can be used in place of the LA biking set.

Thanks,
--Steph

On Tue, Oct 7, 2014 at 12:33 PM, Rek3650 notifications@github.com wrote:

Found a list of much more easily accessible data sets than the amazon
ones. They are also in a format that works with JGR (the application used
in the lesson).
http://vincentarelbundock.github.io/Rdatasets/datasets.html

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#11 (comment).

[ethanjurman]

Ricky and I looked into the activity a bit more, and seeing that it does have a strong focus in Map data, we worked together to make a web app using google maps api last week.

It generates CSV (comma separated values) with the points name, latitude, and longitude (this is similar to the LA Bike Data). It does not have the two LA Bike data columns that describe the number bikes / misc bike numbers. We could replace these with Ratings and Price (both of which, google maps provides for stores and restaurants). Currently people can query up to 20 points (we may need to get an api key for more points... I will investigate later if this is necessary).

It is currently a work in progress, and on my own repo. It can be moved to this repo if it seems like a viable solution. I plan to make changes later this week in it's usability, but for now all the functionality is working (to a reasonable degree) and a running version is on github pages (link below).

This will allow teachers to query whatever data seems most relevant to their classroom (pizza shops in NY, music shops in Boston, bike shops in LA, etc...)

The repo: https://github.com/ethanjurman/pointz
The site: http://ethanjurman.github.io/pointz/

[retrogamer80s]

Hi Ethan,

Sounds like it can be pretty useful. Since today is really Monday I didn't
think I'd see you guys today but I hope to for part of Thursday.

--Steph

On Tue, Oct 14, 2014 at 10:50 AM, Ethan H. Jurman notifications@github.com
wrote:

Ricky and I looked into the activity a bit more, and seeing that it does
have a strong focus in Map data, we worked together to make a web app using
google maps api last week.

It generates CSV (comma separated values) with the points name, latitude,
and longitude (this is similar to the LA Bike Data). It does not have the
two LA Bike data columns that describe the number bikes / misc bike
numbers. We could replace these with Ratings and Price (both of which,
google maps provides for stores and restaurants). Currently people can
query up to 20 points (we may need to get an api key for more points... I
will investigate later if this is necessary).

It is currently a work in progress, and on my own repo. It can be moved to
this repo if it seems like a viable solution. I plan to make changes later
this week in it's usability, but for now all the functionality is working
(to a reasonable degree) and a running version is on github pages (link
below).

This will allow teachers to query whatever data seems most relevant to
their classroom (pizza shops in NY, music shops in Boston, bike shops in
LA, etc...)

The repo: https://github.com/ethanjurman/pointz
The site: http://ethanjurman.github.io/pointz/

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#11 (comment).

[Rek3650]

With what we have now a user can enter a type of place to search for (pizza) and a location (new york) which will return 20 places that can be downloaded as a CVS file. We aren't able to get more than 20 results using the TextSearch. If we want more than 20 then we need to use RadarSearch. RadarSearch returns 200 results but it only returns the latitude and longitude. More info here.

[retrogamer80s]

Hi,

I think for our purses the 20 will be ok.

--Steph

On Thu, Oct 16, 2014 at 2:29 PM, Rek3650 notifications@github.com wrote:

With what we have now a user can enter a type of place to search for
(pizza) and a location (new york) which will return 20 places that can be
downloaded as a CVS file. We aren't able to get more than 20 results using
the TextSearch. If we want more than 20 then we need to use RadarSearch.
RadarSearch returns 200 results but it only returns the latitude and
longitude. More info here
https://developers.google.com/places/documentation/search?hl=nl.

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#11 (comment).