Inspiration
The inspiration behind this project stems from the critical need to address childhood lead exposure, particularly in New York State zip codes. Lead exposure poses severe health risks to children, and understanding its prevalence is crucial for public health interventions.
What it does
Our project utilizes a Tableau Web Data Connector (WDC) to extract and visualize data on the number and rate of children tested for lead exposure in each New York State zip code, excluding New York City. It provides insights into the extent of lead exposure among children in various regions.
How we built it
We built the project by developing a WDC using JavaScript and Tableau SDK. We connected to the New York State health data API, retrieved relevant datasets, and structured them for visualization in Tableau.
Challenges we ran into
One of the primary challenges was parsing and formatting the data from the API to fit Tableau's requirements accurately. Additionally, optimizing the performance of data retrieval and visualization posed technical hurdles.
Accomplishments that we're proud of
We are proud to have successfully developed a functional Tableau Web Data Connector that provides valuable insights into childhood lead exposure
What we learned
Throughout the project, we gained valuable experience in working with Tableau WDCs, handling API data, and visualizing complex datasets effectively. We also enhanced our problem-solving and collaboration skills.
What's next for Tableau (WDC) to
In the future, we aim to expand the capabilities of the Tableau Web Data Connector by integrating additional datasets and enhancing visualization options
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