Monday, October 31, 2016

Data and visualization reflection

What are the benefits of visualizing data?
It makes patterns easier to see.


Can we characterize common mistakes in visualizations to which we gave low ratings?
Lack of information, scale, and numbers

Can we characterize common strengths in effective visualizations?
They make sense, the graphics are organized and clean, and they show data

What other types of visualizations other than charts did you see?
Tables, videos, and boxes

What do you need or want to keep in mind when you make your own visualization to avoid "rookie mistakes"
Make your visualization make sense, make the graphics clean and concise, and make sure you are labeling all of the data.

“Do you have to use a computer to create a data visualization? What are some reasons that you need to use a computer to manipulate data?”
You can visualize data without a computer, but a computer makes it much easier. You need a computer to manipulate data because its 10x easier. If you wanted to change the scale of a graph by hand, you would have to redraw it each time. With a computer its 1 click away. Its also very hard to take large quantities of data and sort it by hand. Computers can easily sort the data and visualize them.

Post to your blog the answer to the following Prompt: What was the most interesting visualization you were able to create? What did it help you discover about the data?
The most interesting visualization I created was the age vs. number of men and women chart. It helped me discover that there were much more men who took the survey then woman.

Friday, October 28, 2016

Unit 2 Stage 9 Equity Access Power

Zach M       10/28/16


The fact that people who are older makes accessing the internet more difficult has an effect on my life. Older people generally are not as quick at learning new technology. I constantly have to help my parents with computer related issues. Things that I find easy are not as easy to them, and they can’t learn how to do something after showing them only once. This restricts their access to parts of their computer.

Monday, October 24, 2016

Data Homework #1

“People say there is data all around us. What do you think that means? Brainstorm as many examples of data as you can think of.”

Data is everything. Habits, passwords and usernames, results of experiments, and surveys.


  • Who is generating the data?
Governments, companies, scientists, and users.

  • Where is the data being stored or saved? Who owns it?
Data gets stored in computers around the world. The person who generated the data owns it.

Survey Reflection

I'm not sure if the quiz was biased. I didn't know what left or right brain was going into the quiz, so I couldn't tell if the quiz was purposely guiding people towards one side. I think it isn't biased, judging from the large difference in results in the comments.

Data Reflection

What is data:

Data is something that represents facts or statistics.

How is data collected:

Data can be collected through many different ways, such as through experiments, tracking users, and surveys.

What can be learned from data collected:

Patterns can be learned from data, such as a user's preference in products. It can also be used for scientific research.

Monday, October 17, 2016

Blown to bits Ch3 compression response

  • Do you think the need for file compression will always be needed, considering the advances in data storage, the speed of computers, and speed of the Internet?

Yes, there is no need for unnecessarily large files. Larger files also take longer to load.


  • Data formats are constantly changing. What challenges does this present for historians? For a given document, movie, or audio file, what are all the component pieces that need to be preserved along with it?

This is a problem for historians who want to view a file format that has been lost in time. For a file, the format and computer processor must be persevered, or enough knowledge of the processor must be known to emulate it. 


  • There is concern about Microsoft’s de-facto “.doc” format. Do similar concerns exist for cloud services such as Cloud Data formats and Cloud APIs? What are some such APIs and what will the dangers be if those de-facto standards are adopted?

The dangers if this standard is adopted is that one company can change the format at any time, and it might not be backward compatible.

Lossy Compression Lab Answers

1. The app removes all vowels, unless they are the first letter.
2. Yes, but this type of compression is useless for text, because you cannot fully recreate the original message
3. Lossy means that unnecessary data is thrown away.