4 page writing assignment Data Analysis Blog MLA format

I need someone to write me a four page data analysis blog .

YOU ARE ANALYZING ONLY ONE SOURCE OF DATA. NOTHING ELSE

PLEASE THERE MUST BE NO PLAGIARISM AND GRAMMATICALLY ERRORS

REMEMBER YOU ARE ANALYZING QUALITATIVE AND QUANTITATIVE DATA!!! IN OTHER WORDS, WHAT DOES THIS FINDING ME ME. WHAT IS THIS DATA TELLING YOU?

PLEASE PLEASE READ THE DIRECTIONS CAREFULLLY

Data Analysis Blog Post

For this assignment, you are to analyze either quantitative data, qualitative data, or both, to explore

your research topic or issue. Ultimately, you will write an accessible analysis of the data, briefly

explaining the topic and how the data helps to explain or highlight an element of that topic, or the

degree to which an assertion about the topic is supported or undermined by the data.

Types and Sources of Data

Quantitative Data: Broadly defined, any characteristic of individuals or geo-political units (cities,

states, countries) that can be measured with numbers or placed in categories. This can include public

opinion data, data describing institutions like democracies, election results, campaign finance

expenditures, Census data, economic data etc. The presentation can be as simple as a chart or table

presenting summary statistics, to something more elaborate like a cross-tabulation or comparison of

means to explore relationships.

Qualitative Data: Broadly, this includes evidence that is not readily captured by categories or

numeric values. Examples include newspaper accounts, timelines of events, interviews, policy

documents, website content, etc. Here, the goal is the same as with quantitative data, but the

presentation of the data itself will be in the form of a narrative or discussion that includes quotations or

specific references to portions of the qualitative data. For instance, one might want to discuss specific

aspects of an interview or highlight arguments in an historic document to illuminate the topic or analyze

an argument.

Sources of Data: The expectation is that the analysis you present will be your original work,

using primary data (ie. a data set on public opinion, or evidence from a primary document or historic

account such as newspaper archives) from which you construct a table/chart or the narrative. You

should not use a table/chart or presentation that has already been constructed and presented. Copying

a figure from a report or newspaper, for instance, is not the idea.

That said, finding data is easier than ever. From statistics for countries around the world, to

public opinion and Census data, or online archives of newspapers and interviews with political figures, it

is reasonable to find data that can help in your exploration of your topic. Rather than provide what

would be an incomplete list of all the possible data sources, please ask your instructor for some

guidance for appropriate suggestions.

One suggestion is to apply a finding or insight you come across in the news or academic study

and apply it to a different time period or unit of government (ie. public opinion in the US and see if it

holds in a different country; or election results from a different time period, etc.).

Expectations

The assignment essentially asks you to play the role of a data journalist in that you will be

conducting an analysis with appropriate data and presenting the results in a readable and engaging

format. The format is fairly straightforward. First, briefly discuss your topic and why the type of data

you are presenting would be useful to help understand a particular aspect of that topic. Second, present

and interpret the data (again, in a table/chart or narrative). Finally, a discussion or conclusion of what

your data says about the topic. You might also want to mention the limitations of this analysis. The key

is to ask fairly straightforward questions and utilize appropriate data. This is not a scientific paper, so

keep in mind that there will be caveats to your interpretation.

To give you a sense of what data journalism (and this blog post) might look like, below are a few

examples. Keep in mind that these websites have people devoted to producing high quality charts and

graphs. Yours will likely be more in-line with traditional Excel/Spreadsheet figures or maps that are

created by online data pages. The point is to try to produce something interesting and hone your data

analysis skills. That said, I think these are good examples of data journalism. As with the other

assignments, you are still learning, so do understand that these may be of higher quality than I would

expect given your resources.

FiveThirtyEight.com is perhaps the most well-known data journalism website. Here is a link to a report

on different demographic voting patterns and why they mattered:

https://fivethirtyeight.com/features/what-if-only-…

The UpShot is from the New York Times. Here is an article examining the issue of low growth

expectations: https://www.nytimes.com/2019/01/27/upshot/world-ec…

Here is one your instructor wrote about the Blue Wave in Colorado: http://sites.msudenver.edu/PSC5280/

Exel Help: Here is a short guide to creating charts and graphs in Excel: https://www.exceleasy.com/data-analysis/charts.htm…

You can also simply use the Excel help function, or a Google search, to find more help. Your instructor is

also willing to help if you are having difficulties.

Use of Appropriate Data

Levels of Achievement:

2.25 (15.00%) points

2.25 (15.00%) points

1.6875 (11.25%) points

0.5625 (3.75%) points

Analyzes Data in an Appropriate Way

Levels of Achievement:

4.5 (30.00%) points

3.825 (25.50%) points

3.375 (22.50%) points

1.125 (7.50%) points

Demonstrates the Ability to Utilize Data to Better Understand a Topic

Levels of Achievement:

4.5 (30.00%) points

3.825 (25.50%) points

3.375 (22.50%) points

1.125 (7.50%) points

Communicates Knowledge in a High Quality, yet Accessible Manner

Levels of Achievement:

3.75 (25.00%) points

3.1875 (21.25%) points

2.8125 (18.75%) points

0.9375 (6.25%) points

Name:Data Analysis Blog Rubric

Description:This Rubric is used for a data analysis blog posting or data journalism article.

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