here is my final project with my partner Alec Emery.
This week, we were assigned to create an info-graphic based on an blog post from Occam’s Razor, a web analytic blog.
I chose to create mine based on the 7 Data Presentation Tips.
Finally, here is my info-graphic:
I went to Code Academy to learn about HTML5. I took a course that taught me the basics of writing “h elements,” “p elements,” and adding links, etc.
At the end of the course, I received the badge below to mark my completion:
Here is the PSA for our Group, Alana Lee and Alec Emery,
Through the use of the website Appy Pie, I created an app that allows people to share their life styles, and appropriately named it “Style Share.”
Linking it to social media platforms like instagram and pinterest, the aim of the app was to make it visual based information gathering.
Check out my app below:
Tweet deck is an alternative to a search engine that uses social filters and personal interests to display results in a timely manner.
Comparative to standard search engines, like Google, base their results on relevance to the search topic, Tweet Deck presents the results based on timeliness. Tweet Deck’s results are also based on your personal twitter activity (no matter how little, like mine) personalizing the results even further. Ex: showing results only on the accounts you follow, or popular retweets, etc. Though there are benefits to this data filtering, there is also the risk of group polarization and social bubbles.
So there is the idea that thought both these ways to search have the same general purpose, their ways of bringing out results are a bit different. And there are many benefits to these different filters, but there are also disadvantages as well. Tweet Deck is very specific in the demographic it targets comparative to bigger, more well-known search engines, like Google.
On a usual day, my internet usage is generally limited to social media browsing, emails, YouTube and Google searches. Pairing that up with Google Chrome extensions, like AdBlock, I thought that I was safe from third party sites because I knew what sites I was visiting. However using Light Beam on Firefox, I was surprised to find out that I had connected to over a hundred third party sites.
After Installing Light Beam, I went through my usual routine (social media, YouTube, etc). And after 20 mins, I went to check my Light Beam graph to see and compare what I had hypothesized my internet usage to be. I was quite spot on with my guess at 4-6 sites during my 20mins, but I was very surprised to see that 120 third party sites were connected. Excluding Ryerson’s website, I had found most of my social media sites we connected to common third party websites. The number of cookies were also amazingly high. There was so much information that was saved in 20 mins of casual browsing!
Light Beam has really made me aware of how unaware we usually are about web security and information leaks. However, I find that though we are unaware of the bad sides to third party connections, we are also unaware of how it still allows us to have a streamlined experience on the internet.