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Construct a Horizontal Bar Chart to contrast US GDP per capita with the rest of the world for the year 2017.

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Assignment 3: Analyze

Questions 1-4 are based on the dataset gdp_per_capita.csv. The data was obtained from the World Indicators Dataset from WorldBank. Original data was filtered, cleaned and restructured.

 

  1. Construct a Horizontal Bar Chart to contrast US GDP per capita with the rest of the world for the year 2017. To provide context for the numbers, create a Distribution band to enclose between 50% and 150% of the average GDP per capita. Lastly, highlight United States by creating a Group. The first few rows of the resulting chart are illustrated

 

  1. Construct a vertical bar chart of percentage change in GDP per capita by year for Highlight the area of the bar chart when percentage change in GDP per capita is negative, i.e., below 0%. Also, highlight the range 5% to 10% that the Chinese Government set as their goal a few years ago.

 

  1. Construct a line graph depicting GDP per capita over time for the United States. Now, on this chart, overlay the 5 year Moving

 

  1. Construct a ten year forecast of GDP per capita for the following Top seven economies by GDP: US, China, Japan, Germany, UK, India, and France. Depict 90% Prediction Intervals.

 

Questions 5 – 7 are based on a magazine subscription dataset, magazine.csv. The source of the data is a book titled, Business Analytics by Christian Albright and Wayne Winston.

 

  1. Use the magazine dataset for this part. Construct a scatterplot that shows the relationship influence of age on income. Construct a linear regression to represent the influence of age on income. Next, use an Annotation Area describe the regression equation. Specifically, include the regression equation, the p-value of the independent variable, and on average how much more will a person make in ten

 

  1. Repeat the above chart with one difference. This time, do it for each gender. In other words, this chart should contain a linear regression of age on income for each gender. Use an Annotation Area to describe the regression equation as above. Finally, create another Annotation Area to answer the following question: Which gender (on average) earns more with every passing year and by how much?

 

  1. Cluster the data into two clusters using Age and Income. Rename the cluster group variable as ClusterSegments and construct a bar chart to contrast the average number of kids for each segment. Represent number of observations in each segment by thickness of the
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