Space Exploration in our Solar System

Source: http://www.sciencealert.com/this-glorious-map-helps-you-keep-track-of-every-space-mission-in-the-solar-system

I really like science posters, but this one has a special place in my heart. It contains a massive amount of information, but still presents a relatively simple narrative of the wonder of space exploration.

This poster lays out information about all of NASA’s space missions from 1959 to 2015. On the top half, the flight paths are shown in thin lines, recording which celestial bodies the spaceship orbited. The bottom half of the chart contains more information such as the target of that spacecraft, the purpose of that mission (such as a flyby, orbiter, or landing), and what the spaceships looked like.

The main focus of the poster is on the spacecrafts, not the correct spatial orientation of our planets and their moons. As a result, the primary audience for this poster infographic is a space exploration enthusiast, someone who would enjoy knowing ridiculously specific trivia about NASA’s space missions.

Notably, this poster also focuses primarily on NASA space missions, and doesn’t mention any probes sent by European or Asian countries. In addition, flyby missions are still represented with a flight path that orbits the entire planet or moon, exaggerating the flight path a little. This suggests that the Pop Chart Lab that created this poster primarily wanted to celebrate NASA’s achievements in space exploration. In addition, the sheer scale of this poster was probably meant to inspire wonder and awe in NASA’s accomplishments.

Personally, I felt that this poster was effective for me, although the bottom half takes up too much space. However, the general public may be overwhelmed by the data overload.

 

Almaha’s Data Log for 13/02/2017

9:00 am
Woke up and checked WhatsApp, Messenger, and Snapchat. Replied on messages and shared my morning snowy view in Snapchat.

9:30 am
Started browsing for good egg recipe, found a great one!
10:30 am
Used BBM to video call my friend and family.

12:00 pm
Started interviewing new graduate students that want to join our group using appear.In, I highly recommend this app if you want to conduct group meetings.

2:30 pm
Created a list of all the things I need to get from Star Market using iPhone reminders app.

4:00 pm
Worked on my research and did a bit of coding with the help of my dear friend Stack overflow.

6:00 pm
Chatted with my friend so he can teach me a new spaghetti recipe through Messenger.

8:00 pm
Watched a lecture and took notes using Notes app. Then, solved some programming problem sets while listening to a playlist in Spotify.

9:30 pm
Used my Apple watch to track my workout session.

10:30 pm
Binge watched Sherlock season 4.

As an overview of my activities through the day, I noticed that I heavily depend on apps and technologies to practice my daily needs.

Divya’s Data Log – 2/12/17

In approaching this data log, I first tried to think about what qualifies as data “created by me.” I decided that this data would have to be recorded as a result of my activities, or continuously in the background regardless of my actions (i.e. apps collecting background information).

12 am: Pay for dinner

Order recorded in restaurant system & credit card transaction recorded by restaurant as well as my bank

1:30 am – 7 am: Drive to Boston

Spotify saves data on music listened to, songs skipped

Google Maps saves data on my route, how fast I’m driving, when I stop

EZPass stores time, location data on my transponder each time I drive under an electronic tolling station

Gas stations record credit card transaction, amount of fuel used to fill tank, type of gasoline used

Car records mileage and speed, and uses these to calculate real-time fuel efficiency

Longer term, I’m contributing to broader carbon emissions data

7 am: Enter dorm

Scanner records MIT ID number, security camera records entering the dorm and allows security guard to verify identity before allowing access

Turning lights on and off – recorded by energy companies

2 pm: Wake up, get ready

Phone records number of times snooze is hit before alarm is disabled

Amount of water used to brush teeth, shower, etc. is recorded by utilities companies

3 pm: Do laundry

Amount of water used recorded by utilities companies

Time machine is started and length of cycle stored in LaundryView tracking system

4 pm: Work on computer

Documents on Microsoft Office & Google Docs save versions at various times, file sizes, word counts

Texts/messages/Snapchats saved on servers, along with time and recipient data

Websites save data on page views & IP addresses

Google searches saved to optimize future search results

9 pm: Walk to meeting

Phone records number of steps taken/equivalent flights of stairs climbed, as well as location changes

11 pm: Watch TV on computer

Number of views, points where program is paused/skipped/rewinded are recorded by xfinity

Data Log

I broke down the data recorded by device, as most of the data I generate during the day is through my use of electronic devices. An “Others” category at the end shows any data I generated by other means.

Phone/Tablet
  • Alarm Time: I use my phone’s alarm to wake up. The phone stores the alarm time, and possibly as well the number of times I snooze my alarm.
  • Email: One of the main things I do throught the day is use my email, either on phone or on my laptop. This records the emails I send, receive or delete.
  • App usage: Both phone an tablet record the apps that I use every day, as well as the time I spend on each.
  • Reading interests: I frequently use the Reddit app and the BBC News app in my phone/tablet to read content online. Hence, which stories/posts I read are recorded.
  • Location: My android devices passively record my location throught the day.
  • Messaging: When and what the contents of the messages I send throught the day, usually through apps like Facebook.
Laptop
  • Browsing History: Most of my internet browsing (either because of work or lesuire) is done on my laptop. My browser will record the pages I visited, and possibly how long I spend on each site.
  • Download History: As well, both the browser and my downloads folder will have a record of the files I downloaded.
  • TV Show tracking: I use an online service to track the TV Shows I am currently watching.
Other
  • Credit Card History: When I use my cards through the day, that will create a record of what I bought and when.

Tony’s Data log for 2/13/2017

 

Nearly everything we do that interacts with technology is logged and recorded somewhere – either personally or by the company that owns the technology.

  • Emails – Sent a few emails during the day.
  • Messaging – Sent messages through Facebook Messenger, Slack, and iMessage.

  • Internet – Responded to a Google docs IM sports survey, completed Doodle for 18.657 office hours. Browsed the internet adding to my search history. 

  • Work – Printed and read papers for my UROP.

  • Payment – Used credit card to pay for an Etsy purchase, dinner, and an Uber. Recorded by bank and credit card company. Charged people on Venmo for meal from a few days ago. 

  • Games – Played Pokemon Go. App records location and event data to send to Niantic.

  • Exercise/Health – Ran 1.5 miles, treadmill also displayed time spent running and calories burned. Fitbit recorded steps, sleep quality, etc.

  • ID – Used my student id to swipe into dorms and to print from an Athena cluster.

Margaret’s Data Log: 2/13

The types of digital data collected throughout 2/13/17.

  • Location/travel: Facebook messenger’s location services track where my messages were sent from, and Uber receipts show that I traveled into Boston. MIT ID taps log when I entered my dorm and when I ate dinner in the dining hall
  • Health: Fitbit tracks my heart rate, active minutes, calories burned, steps walked, etc. It also registered my morning workout and categorized the type of exercise I did. The treadmill recorded my pace and distance.
  • Spending: Credit card data shows what I’ve spent (and it hints at what I ate). Venmo transactions record the payments I made for brunch
  • Email: timestamps stored in Gmail show when I was received/opened/responded to emails
  • Internet history: Chrome internet history remembers the web pages I visited
  • Text messages: texts record who I interacted and the plans I made with friends for the upcoming days
  • Calendar events: Google calendar stores my schedule for the day
  • Computer downloads: these reflect the homework/readings I downloaded during the day
  • Entertainment: iOS Game Center records when I opened mobile games and Spotify history shows when I listened to music (and what sort of mood I was in)

Jingxian’s Data Log for 2/13/2017

10:20am Browsed WeChat and Instagram.
10:35am Replied messages from my mom and friends.
10:45am Looked for dorayaki recipes from my phone.
10:55am Read emails; created notes.
2:30pm Wrote emails.
5:00pm Watched online lecturers and took notes.
6:00pm Looked for smoothie recipe online and saved some of them.
8:00pm Searched for flight tickets for summer from Expedia and saved the search results to compare later.
9:00pm Accepted meeting invitation and added it to Google calendar.
9:20pm Wrote Data Log.
9:30pm Took screenshots of some restaurants from Yelp and sent them to friends.
9:35pm Looked for dorayaki recipes again. Saved one to my phone.
9:40pm Finished the data log and submitted it.

Data Log- Sunday 2/12

  • Google Maps- Tracked route driven and how long it took us. We also used it to look up nearby restaurants (that we didn’t end up going to) so it also collected data on which restaurants we were considering and the fact that we didn’t go to any of them.
  • Ski Rental Shop– Collected name, height, weight, and skiing experience level when renting skis.
  • Google Search History- Recorded time, search query, and any links followed from search.
  • Bank of America- Recorded every credit card transaction (time, amount spend, retailer, location).
  • Waterville Valley Ski Resort- Recorded time we picked up our lift passes and scanned our lift passes’ barcodes before we got on each lift, meaning they know exactly when we rode each lift. Also recored our names, addresses, emails, and birthdates.
  • Whenisgood- Recorded my schedule for the next week.
  • Gmail- Recorded what emails I got, when I opened them, when I responded, what I gave labels or marked as spam, etc.
  • Facebook- Tracked my location and what content I viewed on my newsfeed. Recorded when I liked a photo and who’s photo it was.
  • Snapchat- Recorded my location and what snaps I sent and received. Also recorded temperature and altitude data. It also noted which Snapchat users were nearby.
  • Android- Recorded my phone’s battery use and network connectivity status. Also recorded which apps were opened, how long they were opened for, and how much storage/battery they used, as well as my location.
  • Google Photos- Uploaded photos taken on my phone and their associated metadata to the cloud.
  • Messenger- Recorded what messages I sent and received, their contents, and their times. It also tracked photos taken on my phone and my location.
  • Chrome- Recorded what websites I visited, how long I spent on them, and what links I clicked on them.
  • MIT RFID readers– Records what time I tapped into my dorm and my club’s office on campus.
  • Dorm Desk Package Tracking- What time I picked up my package from my dorm’s front desk was recorded.
  • MIT Campus Security Cameras– Cameras likely tracked a majority of my movements around campus, including entering my dorm.
  • New Hampshire Highway System– Collected pictures of our license plates when we passed through the toll booths.
  • Shaw’s Parking Garage- Recorded what time it issued ticket and thus what time we entered the parking garage.
  • Rental Car- Tracked and recorded gas status, mileage, among other variables.

Erick’s Data Log for Saturday 2/11/17

My Google Maps timeline for Saturday (gathered by Google app for iPhone). You can see if your smartphone collects this data on you at https://www.google.com/maps/timeline

As a technology user, I generate mountains of data every day (often without realizing it). In this post, I will catalog all of the data that I manually generated, as well as the portion of automatically-generated data that I am aware of.

Time My Action Data Collected
Throughout Day (every few minutes) Having Google App on iPhone GPS location
Throughout Day Having Apple Health App on iPhone, using iPhone as alarm Number of steps, distance walked, number of stairs climbed, time asleep (viewable in health app)
Throughout Day Sending/Viewing Messages and Emails (usually from iPhone) Email contents, timestamps, location where I sent it from, read receipts
Throughout Day Google Searches, Web Use Search/Browsing History, Clicks (primarily Google/Facebook for Ad targeting)
9:30am, 10:00am Told Alexa (Voice Assistant) to turn on/off the lights and play/stop Phoenix Radio on Pandora Voice print info and requests (Amazon), station played and specific songs played (Pandora)
11:55am-12:20pm Took an UberPOOL Timestamped route, price, and passenger rating (Uber), money spent (Visa/Bank of America)
12:20pm-12:40pm Lunch at Manoa Poke Shop Order info, card info
12:40pm-2:59pm Working in Google Docs and accounting in Wave All edits (Google Docs), data export request (Bank of America), imported data (Wave Accounting), all annotations (Wave), usage logs (Apple Laptop)
2:59pm-3:18pm Ordered UberX Timestamped route, price, and passenger rating (Uber), money spent (Visa/Bank of America)
3:18pm-4:39pm Got Coffee with a Friend in Boston Security footage in shop, Payment
4:40pm-5:05pm Took MBTA Green Line from Park Street Station CharlieCard Used at station (MBTA)
Night Working on Computer More tracking from Google (Docs, Chrome, Search, Inbox), Pandora music listening, taking handwritten notes on Samsung tablet (automatically uploaded to Dropbox)

Now all this data begs the question: How is it used?

Sharlene’s Sunday Data Log

Activity Captured in Digital Form
February 12, 2017

  • Meal Swipes – Captured every time I swipe my card into a dining hall
  • Physical Activity – Fitbit captures heartbeat, number of steps, etc. throughout the day
  • Emails – Apple Mail on my desktop syncs with the mobile Outlook app to keep track of which emails I’ve read and sent
  • iPhone App Usage – Records percentage of battery usage each mobile app takes up
  • Facebook Messages – Website and Messenger app tracks which messages I’ve sent and read
  • Card Access – Captured every time I tap my MIT ID into a room or building
  • Internet – Browsing history saved on browser or to Google account
  • Logins – Captured every time I login to a website
  • Google Drive – Tracks new uploads and changes to files
  • Dropbox – Tracks new uploads and changes to files. Desktop version syncs with online version
  • TripAdvisor – Website probably tracks which location webpages have been visited
  • Credit Card – Captured every time I purchase something using a credit card
  • Find My Friends – App tracks GPS location