Category: Weekly Data Story

  • Harnessing the US Census API for Demographic Data Retrieval

    Harnessing the US Census API for Demographic Data Retrieval

    A Python-based guide to harness the US Census API for extracting detailed demographic data, including population characteristics and economic indicators, from specific geographic locations. With latitude and longitude coordinates from a CSV file, this approach can unlock a wealth of information for tailored data analysis and research.

  • Baltimore’s urban heat island(UHI) footprint

    Weekly Data Story Today’s post was not planned to coincide with the sweltering conditions in Baltimore – we’re supposed to feel like 107 today! Urban planners and the rest of the players responsible for designing cities intentionally do not want to design cities that are purposely suffocating their residents with high heat. As average temperatures continue…

  • Baltimore’s Building Stock’s Age Provides Constructions Insight

    Weekly Data Story Age is nothing but a number. From a building stock perspective, age provides interesting construction insights about Baltimore’s residential building stock. As any city, the building stock was constructed over a period of time which implies that similar materials would be used for specific periods. Foremost, certain materials used in the construction of any…

  • New York is Noisy!

    Weekly Data Story The title is to this post is not very shocking to New York City residents or tourists. A stroll through the Financial District or West Village and most people yearn for noise cancelling headphones. Besides the general discomfort that loud noises create for people, there is a general correlation between noise and health. Noise…

  • New York City’s Truck Idling Bounty Program

    Weekly Data Story New York City has a program where the city’s Department of Environmental Protection (DEP) enforces the idling law. Fines range from $350 to $2,000. Under New York State law, heavy duty diesel trucks and buses may not idle for more than 5 minutes in a row unless the temperature is less than 25 degrees F…

  • Sunny Day Flooding in Baltimore City

    Weekly Data Story Imagine it is a beautiful sunny day and there is not a cloud in the sky for as far as the eye can see. The perfect day to explore the Chesapeake Bay’s largest port city – Baltimore, MD. Your exploration is quickly thrown for a loop when you encounter a flooded street. As you detour…

  • Tree Canopy Analysis in Northport, New York

    It is crucial to comprehend the quality, quantity, and well-being of our trees in various settings, from dense forests to sparsely populated streetscapes, to enhance our environment. Trees play a pivotal role in providing numerous benefits and services to our planet, such as purifying the air, mitigating erosion, and reducing heat. Although evaluating tree canopies…

  • Landfills’ Legacy – don’t throw this weekly data story away

    Weekly Data Story Waste is part of everyone’s lives. Some people strive to significantly reduce the amount of trash they generate while others don’t give a second thought to what goes into the rubbish bin. In the US, most of what goes into a trash can ultimately finds its way to one of the country’s…

  • Impact of the Pandemic on New York City’s Airbnb

    Weekly Data Story How did the pandemic impact New York City’s Airbnb listings? For this analysis, we obtained our raw data from Kaggle and Inside Airbnb (great data). We crosschecked our sources with information from articles, data science blogs and other research sites to make sure that the data was reliable. Strangely, we could not obtain a dataset for the year 2020 from any…

  • Impact of the Pandemic on San Francisco’s Airbnb

    Weekly Data Story How did the pandemic impact San Francisco’s Airbnb listings? For this analysis, we obtained our raw data from Kaggle and Inside Airbnb (great data). We used ESRI web maps to display the maps. We crosschecked our sources with information from articles, data science blogs and other research sites to make sure that the data was reliable. We selected the years, 2019 and…