Background

As Covid-19 cases and deaths continued to rise in California, our team recognized the need for a clear and concise way to present this data to the public. We wanted to create a webpage that would highlight the findings of our analysis and help people understand the severity of the situation.

Problem

The problem we faced was how to effectively communicate the data we had collected. We needed to find a way to present it in a way that was easy for people to understand, while still conveying the seriousness of the situation. Additionally, we needed to ensure that our analysis was accurate and up-to-date.

Solution

To solve this problem, we decided to use R markdown and ggplot library to create an interactive webpage. This allowed us to easily update our analysis as new data became available, while also providing users with an intuitive interface for exploring the data.

Impact

Increased awareness of Covid-19 cases and deaths in California
Provided users with an easy-to-use interface for exploring data
Demonstrated the effectiveness of using R markdown and ggplot library for creating interactive webpages
Informed public policy decisions related to Covid-19 response in California
Inspired other researchers and analysts to use similar methods for presenting their findings
KPI Placeholder: Increased website traffic by X%
KPI Placeholder: Received positive feedback from X number of users who found the webpage helpful

Team

Jane Doe - Data Analyst
- Analyzed Covid-19 data from multiple sources to identify trends and patterns
- Cleaned and organized data using Python scripts and Excel spreadsheets
- Created visualizations using ggplot library in R markdown
John Smith - Web Developer
- Built interactive webpage using HTML, CSS, JavaScript, and Bootstrap framework
- Collaborated with Jane on integrating visualizations into webpage design
- Maintained website functionality and updated content as new data became available

Interactive Covid-19 Data Webpage