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FINAL PROJECT SCENARIO In this scenario, you will play the role of a data scientist who was recently hired by a company that provides career

FINAL PROJECT SCENARIO
In this scenario, you will play the role of a data scientist who was recently hired by a company that provides career services to those with lower incomes. The marketing team has a small budget and wants your help to find out which demographics (age, education, gender, etc) to target advertising in the US. The data originates from the census database.
Your task is to create an interactive dashboard with Shiny to explore census data to figure out what trends in different demographics you can find and tell the marketing team your findings.
Your team has been using R-Studio lab on Coursera, which is a powerful and easy-to-use platform for data analysis and data science tasks. As a new team member, your team leader has assigned this task to you. You need to leverage your R skills to acquire the relevant datasets, as well as visualize them using RStudio.
INSTRUCTIONAL LABS
To help you finish the final project, we have prepared an instructional lab that goes over how to:
Launch RStudio on Coursera Labs
Download the skeleton server and UI code, as well as the dataset
Understand the starter code
Step through the tasks to create a dashboard using the UCI adult dataset (also known as census income dataset)
Share your final dashboard for peer-review
There are a total of 20 points for 7 tasks in this final project. Your final assignment will be graded by your peers who are also completing this assignment within the same session.
You need to submit the following item for peer-reviews
- A screenshot of the component of the dashboard for each task
Your grade will be based on the following tasks:
Task 1: Add application title in the UI (1 pt)
Task 2: Add the first fluidRow to select input for the country in UI (2 pts)
Task 3: Add the second fluidRow to control how to plot the continuous variables in UI (2 pts)
Task 4: Add the third fluidRow to control how to plot the categorical variables in UI (2 pts)
Task 5: Create logic to plot histogram or boxplot in server
- Task 5.1: Show the boxplot of the age variable (2 pts)
- Task 5.2: Show the histogram of the hours_per_week" (2 pts)
Task 6: Create logic to plot faceted bar chart or stacked bar chart in server
- Task 6.1: Show the faceted unstacked bar chart for the workclass variable (3 pts)
- Task 6.2: Show the stacked bar chart for the education variable (3 pts)
Task 7: Share your final dashboard (including any optional changes to the themes or customizations to the graphs)(3 pts)

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