Data Science with R – Capstone Project

Week 01 Quiz Answers

Quiz: Checkpoints

Q1. Have you web scraped and extracted bike-sharing systems as a data frame from the global Bike-sharing Systems Wiki page?

• Yes
• No

Q2. Have you collected weather forecast data for a list of cities using OpenWeather API?

• Yes
• No

3. Have you downloaded other relevant data sets from cloud storage?

• Yes
• No

Week 02 Quiz Answers

Quiz: Checkpoints

Q1. Have you standardized column names to be all uppercase and use underscore to separate words?

• Yes
• No

Q2. Have you removed undesired Wiki reference links `[ ]`?

• Yes
• No

3. Have you extracted only the numeric bike count?

• Yes
• No

4. Have you handled missing values for `RENTED_BIKE_COUNT` and ‘TEMPERATURE` variables?

• Yes
• No

5. Have you created indicator (dummy) variables for all categorical variables?

• Yes
• No

6. Have you normalized all numeric variables with min-max scaling?

• Yes
• No

Week 03 Quiz answers

Quiz: Checkpoints

Q1. Have you created a Db2 database asset in your IBM Watson Studio project?

• Yes
• No

Q2. Have you loaded four datasets into Db2 Tables?

• Yes
• No

3. Have you used SQL queries with the RODBC R package to perform EDA?

• Yes
• No

4. Have you loaded the SEOUL BIKE SHARING dataset in R and cast some data types?

• Yes
• No

5. Have you used TidyVerse to perform statistical analysis on the data?

• Yes
• No

6. Have you used ggplot2 to discover patterns in your data through visualization?

• Yes
• No

Week 04 Quiz Answers

Quiz: Checkpoints

Q1. Have you built a baseline regression model with only weather-related variables?

• Yes
• No

Q2. Have you built a baseline regression model with all variables?

• Yes
• No

3. Have you evaluated and compared model performance using RMSE and R-squared metrics?

• Yes
• No

4. Have you built at least five refined models using polynomial terms, interaction terms, and regularization?

• Yes
• No

5. Have you evaluated and visualized their RMSE and R-squared metrics using a grouped bar chart?

• Yes
• No

6. Have you selected the best-performing model and visualized its Q-Q plot?

• Yes
• No

Week 05 Quiz Answers

Quiz: Checkpoints

Q1. Have you created an R Shiny app with a basic max bike prediction overview map using leaflet?

• Yes
• No

Q2. Have you added a select input (dropdown) to select a specific city to the R Shiny app?

• Yes
• No

3. Have you added a static temperature trend line to the R Shiny app?

• Yes
• No

4. Have you added an interactive bike-sharing demand prediction trend line to the R Shiny app?

• Yes
• No

5. Have you added a static humidity and bike-sharing demand prediction correlation plot to the R Shiny app?

• Yes
• No