Exploring the Impacts of Government Responses on Pandemic Control and Local Tourism at Honolulu County
The Class Project have four main parts
- Part 1 - Common Analysis sets the stage for the subsequent assignments. In A4 you conduct a base analysis. All of the students in the class will conduct the same analysis, but with a slightly different data subset. Python Notebook
- Part 2 - Extension Plan will require you to ask a human centered data science question that extends the work in A4: Common Analysis.
- Part 3 - Presentation will require you to give a modified (shorter) PechaKucha presentation of your completed project.
- Part 4 - Project Repository, creation of a fully documented repository and also requires the submission of a written project report. Python Notebook, Annotated R Code
- Project Report pdf
- Part 1 Reflection Statement
- Part 1 Visualization Explanation
- Part 2 Extension Plan
- Part 4 Data Source and Intermediate Data Files Document
Six data sources are used in this project:
- Kaggle repository of John Hopkins University COVID-19 data Link
- The CDC dataset of masking mandates by county Link
- The New York Times mask compliance survey data Link
- Social Distancing Index from University of Maryland Link
- Oxford COVID-19 government response track Link
- Daily Passenger Counts Hawaii.gov Link
- Kaggle repository of John Hopkins University COVID-19 data license by Attribution 4.0 International by CC BY 4.0
- The CDC dataset of masking mandates by county data license by CC BY-NC-SA 3.0
- The New York Times mask compliance survey data License
- Social Distancing Index from University of Maryland CC0 1.0
- Oxford COVID-19 government response track CC BY 4.0
- Daily Passenger Counts Hawaii.gov DCAT-US Schema v1.1
- Honolulu_dataset.csv
- Honolulu_dataset_delay2.csv
- Honolulu_dataset_delay4.csv
- Honolulu_dataset_delay7.csv
- Honolulu_dataset_delay14.csv
- Honolulu_dataset_tourist.csv
Name | Type | Description | Example |
---|---|---|---|
date | string |
ISO 8601 date (YYYY-MM-DD) of the datapoint | 2020-07-30 |
daily_confirmed_cases | integer [0-inf] |
Daily confired covid cases | 25 |
daily_passenger_arrivals | integer [0-inf] |
Daily confired covid cases | 15000 |
school_closing | integer [0-3] |
Schools are closed | 2 |
workplace_closing | integer [0-3] |
Workplaces are closed | 2 |
contact_tracing | integer [0-2] |
Country-wide contact tracing policy | 1 |
facial_coverings | integer [0-4] |
Policies on the use of facial coverings outside the home | 2 |
stringency_index | double [0-100] |
Overall stringency index | 71.43 |
SDI | integer [0-100] |
Overall stringency index | 54 |
Rate of Infections
Derivative Function of Rate of Infections
Histogram Of Daily Confirmed Cases
Correlation Heat Map