What we’ve learned: We believe in peace and fulfillment of humankind’s potential. There’s a lot of untapped human potential in the world, especially in young people. This is especially true in AIESEC. It’s easy to get locked into local operations and inside the “AIESEC bubble.” If we can give the average member access to global understanding – of AIESEC and of world trends, we can exponentially increase their ability to drive their own learning experience and that of others. This leads to a rapid increase in positive impact on society. Access to global information – the “big picture” – unlocks our potential. This is our big idea, and we want to make it happen. But we can’t build it alone. We have limited talent and limited time. Therefore, we took a first step, at the Global Exchange meeting. We are providing some examples we made there, as well as our learning, and a space to get this started. Let’s go! What we learned in our first try About data visualization in general Words and numbers together are more powerful than numbers alone. Interactive graphs are awesome! Change over time highlights some of the most relevant data Protect data privacy (ex. Names, company names, emails) Consider your audience and purpose (operational vs. showcasing) Our personal experience This is new, so it can be frustrating – there is a learning curve. To play with ideas, use the tools that don’t require coding. To answer specific questions or problems, tools that require coding can be used. Tips on making data useful and safe:
Demographic data is useful but tricky! Use columns: instead of the string “Accounting, economics, finance”, split the data so that there’s a column for each No graphic should make it possible to individually identify a participant If you have lots of variables, it can be helpful to pre-process by adding extra columns with groupings.
o For example, regions or percentiles. To map it, you need geographic locations
About data sets Useful data: From within AIESEC –
We should publish raw data for available, matched, and realized experiences at least monthly Publicly-available files should not have company or individual names Each experience needs to be mapped to LC, MC, and my demographic data (academic, work, AIESEC experience, year of studies, etc) Dates are important!
From outside of AIESEC –
Check out undata.org LinkedIn data – the API is limited, but maybe the “Group” function can extract information from the AIESEC groups?
About specific tools The visualization tools we know of are:
ManyEyes KendoUI Google Charts Tableau Processing Qlikview
Our experience with these tools is summarized below, to help you figure it out ď Š ManyEyes
Kendo UI
Tableau
Moderate Basic
Google Charts Advanced Medium
Ease of use Complexity of graphics Adaptability Interactivity Advanced charts Many variables Map Box & whisker Interactive
Easy Medium Low Yes
Medium No
High Yes
Medium Yes
X X X X
X X
Hosting Embedding Easily refresh with new data Skills Mobile compatible? Free platform limits
IBM No No
Own server Yes Online
Own server Yes Online
Tableau Yes Offline
None No ?
Js, Jq Yes ?
Js ? 25,000 queries
No Yes
? No
Yes No
None ? Slow server, some functions Yes Yes
Dashboard Strings
X X X
Moderate Complex
X
SO: Tableau and ManyEyes are really good for playing around! If you want something specific, and you have the coding skills to manipulate it, try Google Charts. For the greatest usability, you might want the paid version of Tableau and Google Charts.