Week 4 – so much more

No introduction for this one. It was just OMG. From the get go of the assignment, I made up  my mind that I will finish this one ontime but here I am writing on a Sunday. This is going to be a long post, so I am going to cut through the chase and get started with the assignment

Brief
The Guardian’s Data Blog published a story about unemployment in the US here. Our goal was to get the data and create an think about what kind of interactive graphic we could create with them.

When I was sketching for this assignment, I could totally imagine Hans Rosling giving a presentation on Gapminder about this subject 🙂 You know with the bubbles of 50 states moving between the 2 axes. It has chronology, its has percentage of unemployment, it has population and with more (maybe not) aspects, there could be a perfect gapminder presentation. Since, I know people are familiar with gapminder, I decided to sketch this route in the end (never got to it actually).

In the first and the second route mentioned below, I have visualised only 25 states (for time limitation ofcourse) to explain my idea. Let’s begin

First Route
This one is something on the lines of a slope graph. Having said that I dont think it’s exactly like one because of all the slopegraph examples I’ve seen there are variables on the left and right which give the slope some context. If that’s not the case then it’s just a line chart.

For an interactive graphic I imagined something like the following:  

It has a timeline on the top to see the lines change in different years (gif animation at bottom left). It also points out the US average of that year on the right. There is also a sort button which when clicked would arrange the graphics like this:

To get a better idea of how one state progressed we can click on the state and it would show like this:
  

When I reached this state, I remembered something from the course; that was to give feedback for any user action. Which is when I thought that on rollover on the state names a view like this could show up:

What’s working in this module in my opinion is the overall message. Over the years, you can see where most of the unemployment percentage is changing. A small gif here

It also works at a summary level and detail level. What I am a little concerned about it that I don’t know how complex it would be to do this for 50 states and the fact that you cannot see monthly progress of the states (which is not mandatory but still!!)

One thing I noticed in this kind of graph is that the variables on the left are not changing it’s position, very unlike the slopegraph example I saw in the post here where the slopes have more context. When I saw this in the examples given by Alberto, I thought changing the positions of 50 states might be disturbing for the eye, so I decided against it (which is why I think it’s not a traditional slope graph)

Second Route
This route visualizes the information using histograms. It’s pretty straight forward actually. At first there is a US chloropeth map which gives us the situation of unemployment in different states as of September 2012.

Below you can see the histogram of US mapped from 2009 to 2012 and an empty square to compare a state you choose by clicking. The state you choose shows percentage of unemployment mapped monthly from 2009 to 2012. Also tells us the % difference from Jan 2009 to Sep 2012.
 

The other thing one can do is to choose compare and see the performance all the states (in this case I only did 25) on the same scale. Then the user can also interact with monthly bar of the state to get some additional information.
 

One can go back to the map view as and when they wish. The first view gives the states context and summary of the whole situation and the second level gives deeper details.

Third Route
This is more like a thought rather than a finished route. When I was thinking about the data,  I saw some concern about situation becoming worse since Obama became the president. I am not a US citizen and don’t know much of the situation, but have a faint idea. I started wondering if adding an angle of population to this might change something or make some aspects clearer. I  don’t know how true this is, but it is my speculation. Need some facts and figures to prove it maybe.

For example if we compare the states of Arizona and Mississippi. the percentage of people unemployed in Arizona is 8.2% which is 245,200 people and that for Mississippi is 9.2% which amounts to 122,700 people. So, as we can see that even though Mississippi has more percentage of people unemployed the actual value is much lesser than that off Arizona; and this is probably because Arizona has a bigger population that Mississipi (my conclusion) correct me if I am wrong though. So, in this option I explored a scatter plot between percentage on Y-axis and population on X-axis for 50 states.
 

I also decided to to a ‘Pre-Obama’ 4 years and ‘Post-Obama’ 4 years because I figured, incase the job opportunities in a state were fixed and the population increased over the few years (plus recession) then maybe Obama presidential rule didn’t do so badly in such a state, as in it didn’t improve but didn’t deteriorate either. Anyhow, must find a better way to communicate this but for now each bubble in this map, on mouse hover could also give some more information about the state in that year
 

Ok so that was it for this assignment. I know I am not expressing it well, but I am still loving this course 🙂 I know il miss it once its over. Now back to my life and its tensing agendas.

Peace

Week 4 – so much more

Week 3 – half way

Week 3 ends tonight and can I tell you this week got serious. Quiet forums, only one reading and no quiz might give us all a feeling that this week was easy breezy, but the truth (for me atleast) is that there was mayhem backstage. We had monster of an assignment and rest assured, it made me think and exercise my mind to crazy limits.

This week we were given a task to conceptualise the design for an interactive graphic based on this. The link was accompanied with this report. 5 days to skim through the report, understand and ponder over and sketch our assignment finally began to daunt me a little. Let me take this opportunity to say that the varying levels in the current representation of graphic done by guardian datablog doesn’t really work (but they have some great work too). Since the levels of ‘country’ and ‘organisaiton’ don’t have a common baseline you cannot tell their actual values.

Being a designer I often chose or have been lucky to work on topics that are interesting and not very data heavy (with the exception of Hollywood challenge in IIB). This assignment challenged the notion of doing convenient visualisations. The reality of dealing with relevant topics and enormous data can be attributed to this week’s assignment. One more thing I learnt was to strategically skim through BIG! reports to get relevant information from it. Now, back to the assignment:

From past weeks and this week I would like to list down a few points that resonate with me, everytime I approach any graphic now.

  1. What does the user want to know?
  2. What shape should the design take? Apt?
  3. Balance between form and function.
  4. If it’s an interactive graphic, does it have a summary layer, an option to filter details and details on demand.

With these points in mind, I began to target the problem. On skimming through the report, I came across a section that spoke about the different levels (namely activity, organisation and country) at which the different indicators work. I read few pages around this section and understood the story behind the data better. To sum it up quickly for you: there are 72 donors and with a new system the donors have 43 indicators at three level (activity, country and organization). Depending on whether the indicator was scored in those levels by our donors, their performance was measured.

Design Elements
SUMMARY LAYER | On top, a level that gives the summary of the story. The story on a broad level is ‘How transparent are the donors?’. There is an option to toggle between 2011-2012 to see how the percentage of transparency changed since last year. Point to be noted is that while the end result is still in percentage, the method to measure this result has changed since 2011.

RANKING | On clicking this button, it arranges the bars in decreasing order to make the ranks of these donors visible.

DONOR | It drops down a list of continents for the users to select from. Users might be interested in knowing the performance of donors in their country or continent. 72 is a big amount to present in a list and it would be inconvenient to choose from 72 choices, so it makes sense to do a little homework and group them into continents.

BOTTOM SECTION | Clicking any of the bars would initiate the second level of information. At the bottom, each donor is explained in more detail. The break up of the donor’s performance in the three level is seen here. You can also see the current rank and the ‘step up’ or ‘step down’ of the donors’ ranking since last year.

There was a general feeling in the classroom and I also agree that some users might feel the need to know the amount of money spent at these levels. So, presuming that we can find that data, I accommodated that in the left bottom part of graph.

Other Pointers
There are 72 donors for this list, the number is overwhelming and according to my learning from Lecture 2 by William Cleaveland and Robert McGill I decided to make the data set adopt visual shape of bar graphs. They are most intuitive and understandable for variables of this count.

The feedback for the rollover action on the bars at the bottom can give information like ‘the number of indicators scored at each level’.

One question I had was if I should give an option to compare another donor with the one you’ve selected? I am still not fully convinced about it, therefore you can’t see it on the sketch. Too many donors to choose from and why compare only 2? I am still thinking about this one.

While I thought about this assignment for one week, some of you might wonder is this the best way? The truth of the matter is that firstly, this is a course for conceptualising and processing rather than the form. Secondly,(I’m learning it now) it is important to let go the ‘moh’ (greed) of decorating graphics before perfecting its communication (this is not easy)

I don’t know if my submission shows it , but a good amount of brain wrecking went behind this shape. I am in no way saying that its the only option or the best option, but don’t judge the story by the looks of the graphic.

Process

Week 3 – half way

Week 2 with Alberto Cairo

Hello to all of you!

It’s the end of week two at Alberto’s online course and I am loving the idea of taking this online course. Even though I have a full-time job and 100 other things to do and it’s getting harder to follow the course, I find some time to do justice to it. I recommend for people interested in data viz to take this course in Jan. Alberto literally lays out the fundamentals of info graphics and dat visualization through this course. Being a designer, I can say that the course emphasizes more than umpteen number of times on the purpose and need for information design. I’m finding it hard to stay away from the habit of pretty(fying) and beautifying graphics for the sake of its form. A chance to learn the basics I never knew of is a privilege.

Week two’s discussion topic was this:

To begin with when I saw this, I thought well this is pretty cool! It conveys almost everything it wants to. Words used the most, Obama using words vs Romney using the same; I dnt see anything wrong with it :O plus The New York times generally do a great deal with their info graphics, so must be perfect. At this point I wish I could tell my professor ‘Alberto, this is a good one, it will flex my brain muscles’.

Then when i knew ‘I was hired by Steve Duenes, infographics director at the Times, to make a constructive critique of that piece’ (hypothetical situation obviously), my mind started to see things it wouldn’t otherwise (ofcourse the readings and lectures during the course help a great deal). So, lets begin with what I came up with:

Things that work:
I like the interesting take on word cloud and the fact that the % of usage of words makes it favour either towards ‘republicans’ or ‘democrats’ (didn’t see this in the beginning though). The second thing I like is the choice of words, Words used are words that make sense in context of politics and debates. If you looked at it overall, you would get a sense of words used by either conventions. Many other positive points and on the whole I feel, the NYT did a good job in making bubble charts clear enough compared to some others out there.

Things that don’t work:
1. The bubbles are clickable but don’t do anything on click. Their function isn’t very clear.
2. When you drag the bubbles out of their place they go where you leave them. WHY?
3. There is a search bar on top to search for words, I didn’t use it much and am wondering if it’s really needed. It’s not a playful graphic and searching for words like ‘is’, ‘and’,’I’ is redundant and has no context
4. Some of the words like ‘AUTO’ and ‘WOMEN’ are described below and I cannot figure out why. Why only these words and not others? Why do they disappear when you drag a bubble out of its place? Initially they almost looked like sections for the graphic.
5. The pull out quotes at the bottom could be a nice element, but is easily missed in the scrolling. Plus its too long and doesn’t add to the story user is getting from the graphic.

The more I look at it and think of it; I realise that it’s a great graphic as a static and the interactive elements don’t have any value addition to the communication. They do things that seem to be deprived of any function. Most of the story that can be communicated is given to the user in the first go.

Improvements
What I can do to improve this communication follows:

I am not very good at coding and the lack of practice in Flash and Indesign hindered my attempt at making this interactive. Im still on it though:

So, the sketches follow:

This is how I see the whole thing readjusting itself ( it’s a concept sketch and can be worked on a lot in terms of appearance). What I liked about the previous one was the fact that the words would move towards one convention depending on which convention used it more. I feel the key message for users in this is the correlation of the word between the two conventions. A scatter plot in my opinion communicates 2 things clearly: Firstly, it tells how many times one word is used by both conventions. Secondly, it gives us an idea  of which convention the word is leaning towards. The closer the circles (all same sizes) are to the 45 degree line the more balanced is the use of the word by both conventions.

What could also be a nice element is a zoom button to zoom into the congested areas and blow up the scale :O

Next step is when a user clicks on lets say OBAMA. This would make the bubbles settle in a state like this one:

Here all the words drop on the X-axis and show the way the words are used by the democrats. When one hovers on one of the bubbles it would lead to a screen like this one:

The word that the bubble belongs to shows up here with an added description or caption. One can go back to the full view and do the same steps for ROMNEY and republicans:
 

I know I don’t see much sense in the excerpts but maybe the interactive piece could look something on the lines of this: with much lesser redundant lines and better aesthetics.

Week 2 with Alberto Cairo

Albert Cairo’s Online course

Introduction
I know I haven’t posted anything in a while, but data viz is and will always be on my mind. I am currently taking a 6 week course with Albert Cairo on introduction to infographics and data viz. Looking forward to it and its going to be fun 🙂 There are going to be some random  images here and some not so random for the purpose of the course. So, please bear with me.

WEEK 1
The first week is almost coming to and end ( well actually it has ended today) and I loved it.  The fact that the course became a reason for me to read is an achievement in itself for me. Can i say Albert Cairo is a great teacher. The course is really well-organized, i mean the expanse of the internet might be a hurdle sometimes, but inspite of that, there is enough to keep you brain ticking.

The readings and the video lectures emphasize the same points and therefore the idea or the learning of the week manages to stay put in my tiny pea sized brain. Besides other requirements of the course, one of the major ones was to critique and attempt to redesign the following graphic:

Given the learning and feedback here is a quick revision of the info graphic. Its down and dirty and not to be looked at as a finished piece:

Revised version after getting feedback from my fellow classmates at mooc

This was an experiment I tried with rearranging the social activities in decreasing order of priority. I feel that this makes it difficult for the users to understand the data, as the colours keep changing.

Just scraped by the mandatories in Week 1 and it just gets hectic from here on. Kicked and scared about week 2 🙂

Albert Cairo’s Online course

Visualised life

Some examples of visualizations I see in my everyday life:

Music
I got my MBP(shorthand for macbook pro) recently. I was listening to some of my music on iTunes, when i realized, I tunes has visualization for the music I played (slow I know). Its nothing new, but it was an accidental discovery for me and to be fair they are pretty nice 🙂 here are some snapshots of my music being visualized

reminds me of the planetary app done by bloom.io a while back, it’s pretty impressive and also won the app of the year in 2011. Check it out here

Nike+
Nike+ is something I use ever more than often to map my run. I would like to take this opportunity to appreciate the Nike+ interface. It’s awesome. It documents almost everything one possibly could imagine during their run. And the fact that I run and use nike+ generates data for these visualisations. Have a look at some of them:



Cupboard
The other day my cupboard went through some hard-core anti-termite cleaning; my-o-my what a drill! Came back home to see all the mess out of its place, all coagulated together to form this annoying cluster of junk. Nothing was making sense (the number of books that existed on the bed: only 15 belonged to me) This is when I realized, this is data visualization process come to life. This is how I feel when I look at that data for the first time: overwhelming, except mostly (thankfully) I’ve encountered data at a stage post this one, where it is more organized. Anyhow, let’s go through this data viz process, shall we:

Stage 1 – Find Data
No problem there now, because the data found me:
 

This is well, almost all the data of my cupboard mixed up and ambiguous. So, with that I can safely say this is a process to rearrange or design my cupboard.

Stage 2 – organize data
This is after I sift or glance through all that data and make a decision of the possible categories and slots hidden in this data. Attempt at categorizing and organizing can be seen here

A conscious decision-making starts happening here, you start spotting redundant information, finding patterns and compartmentalize all your info in your head

Stage 3 – Designing
Well to be honest, there might be a couple of stages in the middle, but I couldn’t document all of them with my room: I got tired and slept in stage 2 :O. After distinguishing the data and categorizing it, essentially I start by making the skeleton for the layout. In this case the skeleton was given to me in the form of my cupboard design (shelves, drawers, lofts etc). So, all I needed to do was put the contents in the skeleton, in other words design the piece and well this finished piece at the end of it, looked something like this:



Pardon the jarring lights but besides that a pretty clean, minimalistic and organized design. I know the cupboard is not the most photogenic, but who am I kidding its a cupboard and this is probably the best I can do with it. All contents are organized and located in the design and working in harmony with the rest of the room. It has balance, contrast, harmony, symmetry and all the other design principles.

Stage X – Redundant information
There is a very important thing to keep in mind while designing: and that is to remove all the redundant information. This here is basically all the redundancy in my cupboard separated from the rest to be used in a more effective manner elsewhere:

SPECIAL thanks to my sister who I share my room and the data with.

Visualised life

Bond. James Bond.

IIB 4

This is the final piece that was sort of created in the end. I don’t know how much it works in terms of communication, but nonetheless I decided to take a chance and experiment a bit with the elements.

Radial Viz
We are familiar with radial visualisations, all sorts of them. The two things that I chose to do here were:

1. The radial visualisation was taken a notch up to spiral visualisation. James Bond movies have a classic gun graphic opening that lends itself to an interesting experimentation element. I changed the crop to a circle rather than a rectangle, because it works better for visualisation purposes. But, a crop inside the circular unit would look recognisable:

2. The scale. Many a times I have seen examples of varying scales on the same unit. To give you an example you can look at Ben’s work here. Same circular element hosts different scales. So, here I have made use of different scales in the same unit. The different scales are separated by some negative space to help grasp them better.

With great..great effort, this is the best I could do with the key, but I personally think the key can be designed better. Hopefully, it explains what it should!

The data used in the piece can be found here:

https://docs.google.com/spreadsheet/ccc?key=0Aqe2P9sYhZ2ndEJlMzlrYWh3Nm5WOFN5R291dnZhSFE#gid=5

Bond. James Bond.

Past and Present

This is actually post from another blog I have: but makes a lot of sense to share this experience here:

A little background to this work is that ‘Information is beautiful’ is David McCandless’ website and they come up with challenges then and now. This one was called challenge of the stars. For more details you can check out his work and events. The task was to take this data and visualize it. When I opened the doc, I was overwhelmed by the levels, layers and complexity of the data. 2 weeks down the timeline and this is where it was leading:


Full View here

It tells you how a film stood on audience rating and industry rating and which studio, genre it belonged to. Films shown here belonged to the year 2011. So, a film that was loved by the audience wasn’t necessarily the critics’ favorite (happens with many chick flicks). My biggest concern here, was following the lines to studios and the fact that the names of the movies were missing. There is something about network visualisations, they look pretty and intense, but following the lines just seems so taxing. Personally after doing this iteration, I am not a fan of complex network visualisations. I shall search for comprehensive network visualization examples.

So, at this point I started rethinking the story I was trying to tell and wondering if I was introducing unnecessary complexity. How I wished I could make this interactive (makes visualizing layers of information so much easier). *sigh*

Well here is an image that exposes the names of the films, to help you understand better


Full View here

Well, with half of my time sucked into this and not more than 4 days left to the deadline, naturally I *freaked out*. Thankfully an extension came as a blessing and I took a completely new direction. COMPLETELY!!! New story, new direction, new data and as a result, new visualization. This one shows performance of different genres across 5 years, it also shows contribution of the best films of the genre to the genre’s success.


For a clearer view check it out here

Of all the design projects I have done till date, this one showed the most drastic change in direction during the process. I am glad in a way, that I could explore two different directions in 3 weeks.

Past and Present