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University of California Berkeley US Constitution Discussion

University of California Berkeley US Constitution Discussion

University of California Berkeley US Constitution Discussion

Description

Over the course of the semester you have been exposed to how other states construct their government.  These include such things as different electoral systems, legislative-executive arrangements, rights an liberties given to citizens, and so forth.  I would like you to reflect on what you have observed and learned, and then suggest two ways in which you think the U.S. Constitution could be updated.  Note that I am NOT asking you to actually write those changes.  That is something you are working on for your final paper (though this might help you narrow your focus).  What you are to do is describe two ways that our current Constitution is weak, how it might be improved and why these improvements will help.  For example, you might note that the Constitution does not specify how legislators are chosen, and then suggest that we adopt a proportional representation system to create a multiparty democracy.  You are free to be as wide ranging or specific as you would like.

Over the course of the semester you have been exposed to how other states construct their government.

As last time, there are two parts to this assignment:

1) You will make an initial posting of about 200 words detailing what changes you would make and why.

2) After you make your own posting, you will respond to at least two of your classmates with a thoughtful response .  Do you agree with their suggestions?  Will they work?  Why or why not? Why or why not? 

Unformatted Attachment Preview

*Make sure to differentiate between people who we know 100 percent that it is their first
review and who we are assuming it is their first review.
*The graphs shown below include ALL reviewers*
Clarify with professor: as part of the data profiling do we need 2 separate graphs for first time reviewers,
or just 1 graph for those who we think are first time reviewers?
Graph 1:
1. Notebooks to use:
a. Run Rebuild My Tables notebook on Databricks
b. On Tableau, connect to the project_reviews_table datasource
c.
d. Convert ôars4o Dimension and drag to columns. Drag #project reviews table to rows
Drag Gender to the color filter
The first graph depicts the quantity of genders that write reviews based on different star ratings. The
blocks consist of 3 gender categories: Men, Women, and Other. This graph focuses on raw numbers as
opposed to percentages. Here we see that four star reviews have the highest number of overall reviews.
The highest number of male reviews is also found in the four start category. The highest number of
female reviews falls under the 5 star category.
Graph 2:
1. Notebooks to use:
a. Run Rebuild My Tables notebook on Databricks
b. On Tableau, connect to the project_reviews_table datasource
c.
d. Analysis -> Percentage of -> Column
This 100 percent stacked bar is used to easily visually represent the percentage of each gender category in
each star rating. As opposed to the first graph, this graph will show the
Graph 3:
Tableau Team Project Write Up
The first graph, Different Ratings Across Genders, depicts the quantity of genders that
write reviews based on different star ratings. The blocks consist of 3 gender categories: Men,
Women, and Other. This graph focuses on raw numbers as opposed to percentages. Here we see
that four star reviews have the highest number of overall reviews. The highest number of male
reviews is also found in the four start category. The highest number of female reviews falls under
the 5 star category.
For our second graph, Percentage of Reviews Across Genders, we have decided to create
a 100% stacked bar chart with each colored segment representing the five star rating scale. The
x-axis features the genders as we decided this would be a more efficient way of showing
comparison between each group. This graph is used to easily visually represent the percentage of
each gender category in each star rating. As opposed to the first graph, this graph will show all of
the first time reviews.

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