Category: Self-surveillance

  • Visualize your Last.fm listening patterns with LastHistory

    Posted Mar 3, 2010 to Self-surveillance, Software / 10 comments

    Visualize your Last.fm listening patterns with LastHistory

    Frederik Seiffert provides this nifty tool, LastHistory, to visualize your Last.fm listening history. Mouse over songs and find repeated track sequences. The visualization itself isn't all that useful, but it gets interesting when you hook your calendar and photos in with music. LastHistory lets you replay songs synched with your photos, and your slideshow suddenly gains a new dimension.

    I don't use Last.fm, so LastHistory isn't much use to me, but I'd be interested in hearing what others think. Give it a try for your self though (for Mac only), and leave your thoughts in the comments below. Is it a reason to start using Last.fm?

  • Track Mouse Activity On Your Computer

    Track Mouse Activity On Your Computer

    Anatoly Zenkov provides this nifty tool (Mac and PC) to track your mouse pointer. Really simple. Just start it, let it run, minimize the window, and carry on as usual. In the end, you get this image that looks something like a Pollock. Circles show areas where the pointer didn't move while the tracks show movement.
    Continue Reading

  • Nebul.us Shows You Your Activity on the Web

    Nebul.us Shows You Your Activity on the Web

    Nebul.us is an online application, currently in private beta, that aggregates and visualizes your online activity. Enter your information for Twitter, Facebook, Flickr, etc and install a plugin in Firefox to record your browsing behavior. Get something that looks like the above, sort of a donut-polar area chart hybrid. Nebul.us calls it a cloud.
    Continue Reading

  • One Life, One Stacked Area Chart

    Posted Oct 15, 2009 to Infographics, Self-surveillance / 5 comments

    One Life, One Stacked Area Chart

    Ben Fogarty uses a stacked area chart to represent his life. To us outsiders looking in it's not much more than that, but to Ben I am sure there is a story in every peak and valley. It's like a "this is your life" slideshow in data.

    This is the drive behind your.flowingdata. I don't think YFD is even remotely close yet to developing a personal narrative, but it's something to shoot for. I can imagine a lifetime of data replaying and watching it unfold like a movie. That'd be amazing. Then again, I might also end up like Jerry in Act 3 of Episode 88 in This American Life. Fingers crossed for the former.

    [via WeLoveDataVis]

  • Sneak Peek: New Version of your.flowingdata Coming Soon

    Posted Jul 8, 2009 to Projects, Self-surveillance / 13 comments

    Sneak Peek: New Version of your.flowingdata Coming Soon

    The brand new version of your.flowingdata (YFD) is coming soon, and of course, as a FlowingData reader, you get the first peak. Newer readers might not know what I'm talking about. Well, it's an online application that lets you collect data about yourself via Twitter.

    Follow @yfd on Twitter to be the first to try it out when it's ready.

    But wait, let me back up a bit...

    Way back in October of last year (2008), I wrote a quick and dirty script - my first Twitter bot - to record my weight and eating habits. The user interface was one page that showed my progress.

    That quickly evolved into a simple application that others could use (and some are still using) that could record eating and weight the same way I was. There was also a new tracker to record feelings. It was the birth of YFD so to speak.

    In March of this year (2009), I put up a new version with more trackers, an upgraded UI, and a more reliable backend. This version actually got a bit more attention than I expected.

    More importantly though, I got a lot of great feedback from all of you - what worked, what didn't work, and what else would be cool. Thanks for that.

    A Sneak Peak

    So I took in all that feedback and everything else I learned and went to work on a new version of YFD, which is what I've been working on for the past two months on and off.

    I won't go into all the details. I'll do that when the new version is up, but here are a few screenshots:

    stacked-graph

    treemap

    calendars

    As you can see, the new version is all about flexibility and exploration. While there's still a lot to be done before I'll be really happy with it, I like where things are headed, and I think you all will like the new features.

    Be sure to follow YFD on Twitter to stay up-to-date on when you can start collecting and exploring data about yourself.

    Thoughts or suggestions? Please leave them in the comments below.

    P.S. If you're a YFD test user, feel free to continue recording data as you are now. All of your data will be available in the new version.

  • A Perfect Personal Data Collection Application

    Posted Apr 7, 2009 to Self-surveillance / 13 comments

    The number of Web applications to collect data and information about yourself continues to grow; if you want to track something, most likely there's an online tool to do it. This is great - especially since a lot of the applications seem to have a lot of users, which means an interest in data. Whether it is deliberate or not is a different question, but you know, that doesn't really matter. What does matter is that people are taking notice. However, as users, developers, and designers, we shouldn't be satisfied too quickly with what we have. Want more. Demand more. It's interesting and oftentimes fun to log data about your life - whether it be when you go the bathroom, your sugar levels, or your mood. You get some nice graphs and charts, it looks cool, and maybe you learn something about yourself.

    But all the self-surveillance tools so far are mostly about a single dataset or two at most. You track your weight and what you eat, but it's more complex than that. Life is complicated and data is an abstraction of life after all. Do you eat when you're depressed or are you depressed when you eat? Do you feel better if you exercise? What about sleep? How much sleep and exercise is best for you? What days should you exericse and how many days in a row and for how long? What truly makes you happy? I want my self-surveillance application to not only give me the ability to find these answers but to give them to me with very little effort on my part.

    Process It and Find Information

    There's no need for me to go over all the personal tools available online again, but they all share a common theme. They concentrate on a single aspect of your life, and the more generalized ones don't do much to relate multiple data streams. For example, RescueTime only measures activity on your computer, Bedpost is specifically for sex, and Motionbased is only for exercise. I'm not trying to knock these tools though. The area is relatively new, so we're all just getting started. My own project, your.flowingdata, is not even close to where I want it to be. Applications like Swivel (which I realize isn't specifically for self-surveillance) and me-trics do some correlating, but it's very basic and often not very useful. Daytum uses the Google Charts API, and has managed to make it look good, but there's no data processing on their part, which is again, the theme we're seeing across all self-surveillance tools.

    It's the show-it-all approach. This works to extent, but the human brain can only process so much. I'm specifically thinking about the non-professional majority who don't necessarily know statistical methods. Even if you do, woudln't be nicer if the computer/application did it for you (in an intelligent way)? I mean, if all the data are on the server anyways, we might as well do something useful with it.

    Digital Self in a Physical World

    Okay, more data processing. Check. The ultimate self-surveillance tool has also gotta be ubiquitous. I don't want to have to wait to get to my computer to record something. I want to log it right then and there. Luckily mobile phones make that possible. With SMS and Internet connectivity practically everywhere, we can log data pretty easily. Twitter has made it easier.

    There's still the tough part of remembering to send data over to the servers. A lot of it is manual data entry still, and that leads to sparse data. It also takes a while for anything worthwhile to show up in the graphs and plots, so people get bored quick. You're dubbed a "data geek" if you keep at it.

    I don't know if we'll ever get rid of that stigma, but I look at Facebook and Twitter as my glimmers of hope. There's a whole culture around the two. Everyone thought Twitter was a super nerdy thing to do (my wife still thinks it's weird), but millions of people are using it and the (mainstream) community is growing at a rapid pace.

    Facebook in particular has managed to intertwine itself with real life. I hung out with a very non-tech crowd this past weekend, and I heard about Facebook more than I ever had in my life. People use it to stay updated on their friends' lives as well as keep others in the know, and update their status multiple times per day. After an event in the real world, many feel it's necessary to upload pictures to Facebook immediately after. It's an interesting culture. Of course, people don't use Facebook to broadcast their weight or when just went doodie, but they are uploading and entering info (or data depending on who you ask) frequently, and I don't see why that culture couldn't extend to more data-ish things. Some people will cry information overload, but that's what data processing is for.

    Make It Exploratory

    The computer shouldn't do all the processing though. It should do a lot, but not everything. We are after all pretty good at finding patterns (even when they're not there). When you've been collecting data about yourself for a long while, you're going to need some exploratory tools. Without them, the pie graph and bar charts will get out of hand, and you're pretty much back at where you started - a boat load of data with nowhere to go. I'm thinking something like a Many Eyes for automatic personal data. You would then tell the computer to keep an eye on things when you find something interesting in the visualization tools. Imagine all your data streams in one place where you could explore, analyze, bookmark, etc.

    The Perfect Self-surveillance Tool

    In the end, I want all of my data in one place with some machine learning in the background and the ability to analyze and visualize easily and thoroughly. We're not quite there yet, but I'm looking forward to when we do. Information overload? No. Better-educated decisions and a completely different view of ourselves and our surroundings? Definitely.

    What's in your perfect self-surveillance tool?

  • your.flowingdata: Collect Data About Yourself via Twitter

    Posted Mar 10, 2009 to Projects, Self-surveillance / 29 comments

    your.flowingdata: Collect Data About Yourself via Twitter

    As many of you know, I've been working on a project that lets you collect data about yourself via direct messages on Twitter. It's called your.flowingdata (YFD). It started with just weight and sleep, but it's slowly growing. I recently added entertainment, potty time, smoking, mood, and something I call YFD pulse. You can now also download your data in CSV format.

    Here's my YFD pulse...

    Here's when I go... you know...

    Now here's my sleep habits...

    Alright, so maybe that's more information that you needed to know. But anyways, if you'd like to help me test your.flowingdata, I'm opening it up to the first 300 people. Just login at your.flowingdata with your Twitter info, and you'll be good to go. It's very tip of the iceberg at this point in development, but I'd love to hear what you all think.

    UPDATE, 11:34am - It seems the Twitter whitelisting hasn't kicked in yet, so there's going to be some lag. Stay tuned. Feel free to continue logging data. No data will be lost while we wait. Sorry for the inconvenience.

    UPDATE, 12:41pm - You can now login and create a YFD account. You can also start logging data. Although it won't appear, no data will be lost. I'm still waiting to get a response from Twitter.

    UPDATE, 1:34pm - It looks like we're back in business. Updates will be slightly delayed until I'm absolutely sure, but feel free to create an account and record data.

    UPDATE, 7:40pm - We're now back at the normal refresh rate of every 3 minutes. I'll increase the frequency in a couple of days.

    UPDATE, 8:47pm - That's it for this wave of invites. Thanks everyone for the hugely positive response. Follow @yfd to stay updated on the next wave.

  • 2008 Feltron Annual Report Now Available

    Posted Jan 13, 2009 to Infographics, Self-surveillance / 4 comments

    2008 Feltron Annual Report Now Available

    After Nicholas Felton's ever popular 2005, 2006 and 2007 annual report on himself, you knew this was coming. The 2008 Feltron Annual Report is now up for your viewing pleasure. There's a lot more mapping, data, and pages this time around.

    The discipline it takes to collect that much data about yourself is quite the feat, but if you'd like to give it a try, you'll be interested in Nicholas' other project, Daytum, which is an application that allows you to do just that.

    [via kottke]

  • Understand Your Behaviors with Twitter – Testers Needed

    Posted Dec 3, 2008 to Featured, Projects, Self-surveillance / 103 comments

    Understand Your Behaviors with Twitter – Testers Needed

    I started tracking what I eat and my weight using Twitter in an effort to shed 10 pounds and consume less. It's already been (a really fast) two months since I started this experiment — I've lost 7 pounds so far. While there are a number of factors that can contribute to weight loss (and gain), I think the simple act of tweeting raised my awareness just enough to make me feel guilty for eating that bag of chips in the middle of the afternoon.

    I Need Your Help

    So I got enough positive response to keep going with this idea. I expanded my application so that anyone with a Twitter account can monitor his or her weight and eating habits. I also added two more services — sleep (above) and mood (below).

    I'm not quite ready to open it up to everyone just yet. You all will be the first to know though. In the meantime, I need some people to test the application under the following non-daunting conditions:

    • You have a Twitter account and actually know how to use it
    • After two weeks of use, I can email you a few questions about what works and what doesn't

    Ideally you'd want to lose some weight, change your sleeping habits, or are interested in your emotions. It's sorta useless otherwise. Well, I guess pure curiosity could be another reason. Anyways, if you'd like to test it out, let me know in the comments. Leave your Twitter username and use a valid email address so that I can send you the info to get started.

    UPDATE: This isn't an app that processes your Twitter feed. Rather, you send direct messages to a bot and the app does the rest of the work - a similar process you might have seen on services like mycrocosm, Daytum, or FoodFeed.

  • How to Make Your Own Twitter Bot – Python Implementation

    Posted Nov 5, 2008 to Coding, Self-surveillance, Tutorials / 24 comments

    Following up on my post last week about using Twitter to track eating and weight, some of you voiced some interest in creating your own Twitter bot. This post covers how you can do that.

    The Gist of It

    Creating my own Twitter bot was pretty straightforward (much more than I thought it'd be), mostly because Twitter provides an API and the resources to make it that way.

    I wanted something really simple that I could play around with. I just wanted to be able to send a direct message to my Twitter bot, and from there, it would store my data. OK, so here are the basic steps I took:

    1. Create Twitter account for bot
    2. Turn on email notification for direct messages only
    3. Check email periodically for new direct messages
    4. Parse direct messages and store in database

    Continue Reading

  • Tracking Weight and What You Eat with Twitter

    Posted Oct 30, 2008 to Projects, Self-surveillance / 36 comments

    Tracking Weight and What You Eat with Twitter

    I'm sure this will come as no surprise to all of you, but personal data collection fascinates me. I love playing with data and when it's about me, all the better. Daytum and mycrocosm are two applications that let you do this; although each have somewhat different goals. Daytum is sort of like a financial report for your life (ala Feltron) while mycrocosm is more of an experiment in communication and social media. They do both, however, have an underlying goal, whether implicit or explicit, of understanding yourself better. Do Daytum and mycrocosm help you understand yourself better? At some level, yes, but both have room for improvement. Here is my attempt #1 to improve on these existing systems.

    Sacrificing Specificity for Flexibility

    Daytum and mycrocosm let you start your own personal tracking for whatever data fit into a pie chart, bar graph, line chart, or a list i.e. Google Charting API. This is fine, and can very well be useful, but after a little while (like after a week), I got bored, and haven't done much with the two apps since. But why?

    I think it was because mycrocosm's charts are so basic that I wasn't getting anything out of it. I was just collecting data for the sake of collecting it. On the other hand, Daytum does at least allow a little bit (albeit, a very little bit) of interaction and is better designed on the frontend. There's no way to enter data via SMS with Daytum though (mycrocosm does), so my data entry was pretty sparse...and so began my own experiment.

    Borrowing Lessons from Self-Experiments

    Not quite satisfied with what I had available, I created my own self-surveillance bot to try to figure out what my ideal mycrocosm or Daytum might look like. I happened to just finish reading Seth Roberts and Allen Neuringer's paper on self-experimentation in which they identified 6 lessons learned from their own self-experiments:

    1. Measure something you care about
    2. Make data collection and analysis as easy as possible
    3. Taking more than one measure is usually worth the trouble
    4. Make graphs
    5. Communicate your ideas
    6. A flawed experiment is better than none

    These lessons seemed like a good place to start, so I loosely used them as a base for my own self-surveillance.

    Tracking Weight and Foooood

    I've gained about 15 pounds since I started graduate school - largely in part from sitting in front of a computer all day, snacking, and not exercising over the past four years. Yeah, that'll do it to you. Shocking, I know. So weight is certainly something I care about. That covers lesson one.

    Now for lesson 2: make data collection and analysis easy. I chose Twitter as my data entry point. I use Twitter already (especially with my new phone with the QWERTY keyboard), so it wasn't a huge burden to start tweeting what I eat. I created my own Twitter bot and created my own basic language. When I consume something, I send a direct message to my bot, and when I weigh myself, I tell my bot how much I weigh. Since all of this is via Twitter, I have multiple points of entry - mainly mobile phone and computer. My bot then of course sticks everything into a database. Tada, I now have data that I can run analysis on.

    Lesson 4: make graphs. Don't have to tell me twice. The important thing here was making sure I showed the things I care about. I need motivation. I stuck that in big print, above the fold. I care about how much I weight, and whether or not I will reach my goal. I care how much time I have left and whether or not I'm on track to achieve. I tried to take this into account as I put together my progress page.

    What Can We Learn?

    Ultimately, I want maximum output for minimum input. Does this simple self-surveillance do me any good? Does it really help me improve myself? As you can see, I haven't exactly lost any weight in the past 2 weeks. However, it is interesting that my weight went down some in the beginning. Then I went on travel for a week (when there aren't many weight measurements) and wasn't so diligent in keeping track of eating and weight. I got back home a couple of days ago and I'm back to where I started.

    My main hope is that I can argue that this more specific type of self-surveillance, in contrast to mycrocosm and Daytum, provides me with more motivation, more use, and something more than just satisfying a curiosity in the minutiae of everyday life. Change is what I'm after. What do you think? Do I have hope or am I just wasting my time?

    UPDATE: If I were to make this public, would anyone want to use it?

  • Get a Good Night’s Sleep with SleepTracker Pro [Review]

    Posted Oct 23, 2008 to Self-surveillance / 5 comments

    I've had sleep troubles for as long as I can remember. When I was in grade school, I used to stay up late (well past 10pm) listening to my Sony Walkman. I later got a 10-inch black and white television in my room from my mom's college years. My sleep schedule only got worse in high school when I made my first big purchase with money that I had earned cutting vegetables and washing dishes in a restaurant - a beautiful 19-inch color television, with a remote! Now that I have to jump across time zones quite a bit, my sleep patterns have a hit an all-time low, so I was of course excited to receive my SleepTracker Pro in the mail a couple of weeks ago. I've been using it ever since.

    Tracking Your Sleep Patterns

    The SleepTracker Pro is a watch that measures your movements while you sleep and wakes you up at an optimal time so that you wake up feeling refreshed instead of cranky and incapacitated. The premise is that the SleepTracker wakes you up when you're in an almost-awake state. When you're in deep sleep or in one of your REM cycles, your body is paralyzed, which explains why it's so hard to get up sometimes, so SleepTracker monitors your movements to wake you up when you're not in a state of complete floppiness. You can later transfer the data to your computer - which is of course a feature I love.

    Pros

    Within the first few days of using my SleepTracker, I noticed an immediate difference. I was waking up feeling refreshed and ready to take on the day. It felt weird getting out of bed right when my eyes opened. I was so used to laying there for an hour not wanting to get up.

    Also - and this is probably obvious - I enjoy transferring my nightly sleep data to my computer and looking at my sleep patterns. Sometimes my wife works nights, so I can see the almost-wake states when she comes in really early in the morning. I also see the times when my cat manages to open the bedroom door and jump on my face.

    Cons

    While advantageous, the SleepTracker could use a few improvements:

    • The SleepTracker looks like something from the 80s. It's a big watch.
    • It only stores one night's worth of data, so if I forget to transfer data to my computer on a day, I lose it.
    • The Windows-only user interface is somewhat limited as far as visualization and insight goes.
    • A few times the vibration/alarm wasn't enough to wake me up.

    Overall Sentiment

    I might never wear the watch during the day, but I will gladly put it on every night when I go to bed. The manual emphasizes changing your habits to get a good night's sleep, which is a good point - and can probably be said for all types of self-surveillance. It's not meant as a cure all. You can't sleep 4 hours or drink a gallon of coffee before going to bed and expect to feel refreshed the next morning. Trust me. I tried. Uh, not the gallon of coffee part. I definitely noticed a difference though when I went to sleep at a decent hour.

    The SleepTracker Pro retails at $179, which might be too much for some, but I guess it just comes down to how much you value a good night's sleep. Personally, I'm happy with it and the new source of personal data isn't too shabby either.

    Has anyone else had any experiences with the SleepTracker?

  • If You Could Track Anything, What Would You Track?

    Posted Sep 29, 2008 to Discussion, Self-surveillance / 25 comments

    It's about time we had a FlowingData open thread. We've seen that there are plenty of tools to monitor different aspects of our lives, but I'm wondering if they are tools people actually want or if they are tools that are just easy to make. So my question to all of you is:

    If you could track/monitor anything in your life, what would you track?

    Disregard whether or not the technology is there or any of those gross technical details. Assume anything is possible.

    I'll get things started. I want to know how I spend every minute of my life. Not just on the computer. I want to know how much time I spend watching TV, going out, exercising, walking, sitting, driving, waiting, and eating. Everything.

  • 23 Personal Tools to Learn More About Yourself

    Posted Sep 12, 2008 to Featured, Self-surveillance / 41 comments

    Like what you see here? Subscribe to the feed to stay updated on what's new in data visualization.

    In the not too distant past, the Web was all about sharing, broadcasting, and distribution. The tide is turning. The Web is moving towards the individual. Applications spring up every month that let people track, monitor, and analyze their habits and behaviors in hopes of gaining a better understanding about themselves and their surroundings.

    We saw what data can be recorded in the personal visualization project. Some data lend themselves to easy tracking while others are easier to monitor with the aid of an application. These 23 tools, to track the minutiae of everyday life, try to fill that niche.

    Is it information overflow or are we learning more about ourselves?

    Track Everything In Your Life

    Applications to record data pretty much about anything and everything seem to be coming all at once.

    Daytum

    Daytum, by Nicholas Felton, is based on Felton's annual Feltron report. Data entry is manual and makes heavy use of the Google charting API.

    mycrocosm

    mycrocosm is a project from the MIT Social Media Group that is similar in spirit to Daytum. The main difference is the interface. Users send Twitter-like messages via SMS or email to add to their personal datasets.

    Me-trics

    Me-trics is described as a Google Analytics for, well, you. It's sort of an aggregator of all your personal data from applications like RescueTime, Twitter, etc. You can also enter data manually, and then it does some statistical voodoo (which sort of worries me) to find correlations. Not so sure about that part. It will offer an API, however.

    Continue Reading

  • Winner of the Personal Visualization Project is…

    Posted Sep 9, 2008 to Self-surveillance / 33 comments

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    Last week was the end of our FlowingData personal visualization project. I asked readers to collect data about themselves or their surroundings and then visualize it some way. Thank you to everyone who participated. It put a smile on my face every time I got an email with "summer project" in the subject line :).

    The Winner is...

    While I enjoyed all the entries (and I hope you all enjoyed making them), there can only be one winner. The winner is Tim Graham who took manual personal data collection to another level. From email spam, to beverage consumption, to aches and pains, Tim embraced the spirit of self-surveillance. He even made his personal data available in the forums. Congratulations, Tim!

    Here are Tim's personal data visualization projects along with entries from Brian, John, Kevin C, Kevin M, Lisa, Said, Stacey and Joel, and Tony. Thanks again everyone for participating, and I hope the rest of you will consider getting in on the self-introspection next time.

    I Drink, Therefore I Am

    I originally thought this was all alcoholic beverages. I was going to tell Tim that he might have a problem. Luckily though, it was all beverages he's consumed over the past few months. That's some serious discipline.

    This one focuses on Tim's Coke consumption. It's a short story of a losing battle against his soda addiction.

    A Month of Email Spam

    How about a look at a month of email spam? Almost as many words of spam as in War and Peace.

    Ouch, My Body Hurts

    This is actually an animated aches and pains chart implemented in Processing. Watch as pains fire off on poor Tim's deteriorating body.

    An Apple a Day...

    A calendar of apples and doctors...

    Chairs in the Kitchen

    ...and even Tim's daughter got in on the action. Here's her very first chart. It shows number of chairs by room. Proud father.

    Commits to the SVN Repository

    Brian is a postdoc part of an NSF-funded project and displayed commits to subversion, which he used to manage code and documents. He found that there tended me more commits to the repository as deadlines approached.

    Is the Power Company Ripping Me Off?

    Hey look - it's a chart made in R! John bought a new house in 2000 and charted billed electricity use – estimated by the utility company and the regression.

    From John, "Every once in a while, the electric company gets lazy and estimates the meter reading, rather than coming to my house to read it. In the attached graphic, I wanted to see those months in particular to determine whether the utility company tends to over-estimate or under-estimate my electricity use in those months, as compared with my own estimation formula."

    Sex

    We saw this one earlier during the summer. Kevin C sent in BedPost, his project currently in private beta to track private time with your nighttime buddy.

    Are You Happy Today?

    Kevin M has his own application, LifeMetric, which lets you enter how you feel and then compare emotions with other users.

    How Do I Spend My Time Every Day?

    Lisa has been tracking how she (and her family) spends time. Below is one day that shows how she (outside circle) and her husband (middle circle) and her kids spend their day.

    SSH and FTP Logins

    Similar in spirit to Brian's visualization, Said put together a series of visualizations of his SSH and FTP logins. It looks like Said is a morning person?

    Old School Networks

    Stacey and Joel held a PieFest with some friends. While they had everyone together they drew up a network. People wrote their name and drew lines to the people they knew.

    Music Interest

    Tony put his iTunes library through Wordle. He's a big fan of various artists.

    That's All, Folks!

    There you have it. The FlowingData personal visualization project. As you can see, there's lots of personal data for you to collect, visualize, and analyze, so go out and have some fun. Can you think of data worth collecting not here? Let us know in the comments.

    Again, thank you to everyone who participated. I enjoyed every entry, and I'm sure FlowingData readers do too.