Unit 5

Question 1

4 Types of Data Visualization

Answer 1

1. Bar Charts
2. Histograms
3. Cross Tabs
4. Scatter Plots

Question 2

Data wise, what are bar charts good for?

Answer 2

• To find present values, the range, clusters of values, etc in 1 column
• Find how data is structured
• Few values

Question 3

Data wise, what are histograms good for?

Answer 3

• To find present values, the range, clusters of values, etc in 1 column
• Find how data is structured
• Many values

Question 4

Data wise, what are cross tabs good for?

Answer 4

• To find relationships and patterns across different columns to identify changes to one value impact another
• String values and few values

Question 5

Data wise, what are scatter plots good for?

Answer 5

• To find relationships and patterns across different columns to identify changes to one value impact another
• No strings but there’s many values

Question 6

What do single column visualizations help with?

Answer 6

Evaluating data structure

Question 7

What do two column visualizations help with?

Answer 7

Finding the relationship and patterns between values

Question 8

Crowdfunding

Answer 8

the practice of obtaining funds or money from a large number of people via the Internet

Question 9

Causation

Answer 9

result or cause of the relationship between two pieces of data

Question 10

crowdsourcing

Answer 10

the practice of obtaining input or information from a large number of people via the Internet

Question 11

Correlation

Answer 11

a relationship between two pieces of data, typically referring to the amount that one varies in relation to the other.

Question 12

Crowdsourced data

Answer 12

Collecting data from others so you can analyze it

Others give you data for you to analyze

Question 13

Open data

Answer 13

Sharing data with others so they can analyze it

You give data to others for them to analyze

Question 14

Big data

Answer 14

Collect huge amounts of data to learn from it

You collect data to learn from it

Question 15

Citizen science

Answer 15

scientific research conducted in whole or part by distributed individuals, many of whom may not be scientists, who contribute relevant data to research using their own computing devices

Question 16

Cleaning data

Answer 16

a process that makes the data uniform without changing its meaning (e.g., replacing all equivalent abbreviations, spellings, and capitalizations with the same word). (

Question 17

Filtering data

Answer 17

choosing a smaller subset of a data set to use for analysis, for example by eliminating / keeping only certain rows in a table (does not change data, but looks at a specific part of it)

Question 18

Data Bias

Answer 18

data that does not accurately reflect the full population or phenomenon being studies