Techniques & Tools for Data Visualization Discussion
Techniques & Tools for Data Visualization Discussion
I’m working on a sociology discussion question and need a sample draft to help me study.
For this Discussion, you will explore ways to appropriately display data.
You will need IBM Software tool to assist with the assignment
Attached is my paper on the assignment last week and the instructions on how to download the software
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To prepare for this Discussion:
- Review the Learning Resources for this week related to frequency distributions and graphic displays of data.
- Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources.
- Next, create a figure or table from a few selected variables within the dataset.
- Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good.
BY DAY 3
Post your display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used.
Assignment: Variables, Measurement, and SPSS
The data set considered for further analysis is Afrobarometer. The two variables selected are EMPLOYMENTSTATUS (Employment Status) and Q1 (Age). The level of measurement of EMPLOYMENTSTATUS is a nominal variable and Q1 is a scale variable.
The categorical variable is EMPLOYMENTSTATUS (Employment Status). A categorical variable is a variable that takes one of the limited and fixed numbers of the probable category. In short, the type of data can be divided into groups (Unit of Analysis, n.d.). For instance, the categorical variables are age group, gender, race, educational level, income group, etc. The two categories are unemployed and employed. The visual display selected for the variable is a bar graph that represents that more than 30,000 sample units are unemployed and less than 20,000 sample units are employed. The mean of employment status is 0.3319.
The continuous variable selected is Q1 (Age). A continuous variable is the one that takes an infinite or uncountable value (Unit of Analysis, n.d.). Some of the examples of the values displayed in the variable are 33, 20, 41, 26, 21, 18, 58, 24, 25, 25, and so on. The visual display selected is a bar graph and it represents that the maximum number of people are between 20 years to 40 years. The mean of age is 37.19. The social change implication can be framing policies and programs so that the maximum number of people should be employed. The unemployed people are more than employed. The leaders can identify the study courses that are high in demand in terms of job needs.
References
Unit of Analysis. (n.d.). http://universalteacher.com/1/examples-of-unit-of-analysis/