3 datasets found
  1. q

    A Comparison of the Water Quality Between Chinatown and Bayside: Two...

    • qubeshub.org
    Updated May 9, 2023
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    Ethan Liu; Daniel Dudek (2023). A Comparison of the Water Quality Between Chinatown and Bayside: Two Demographically Different Regions in NYC [Dataset]. http://doi.org/10.25334/1EWX-1X72
    Explore at:
    Dataset updated
    May 9, 2023
    Dataset provided by
    QUBES
    Authors
    Ethan Liu; Daniel Dudek
    Area covered
    Bayside, New York
    Description

    Being Published in Journal of Emerging Investigators: In this research paper, we will be comparing the water quality in Chinatown –an area with a majority poor Asian population– and Bayside –a more affluent and wellfunded region in New York City. Our hypothesis was that Bayside’s water will be safer to drink than Chinatown’s for the following reasons: (a) Bayside received a 62.5 million dollar grant to renew its piping system and (b) drinking water injustices have plagued communities with high rates of racial and economic minorities, as seen in the Flint Michigan water crisis. Researching if the accessibility of clean drinking water is dependent on the region is important to ensure no environmental injustices in water quality are occurring in an area of a specific racial and economic demographic. We selected 15 restaurants from both regions and tested for the pH and TDS in collected water samples. We then used DataClassroom to conduct t-tests and linear regression tests to analyze our data. In conclusion, we failed to reject our null hypothesis, as the water from Chinatown and Bayside had no significant difference. Our study raises several important future research questions...

  2. a

    OP 053 (David Holtzman)

    • redistricting-lacounty.hub.arcgis.com
    Updated Nov 17, 2021
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    County of Los Angeles (2021). OP 053 (David Holtzman) [Dataset]. https://redistricting-lacounty.hub.arcgis.com/datasets/op-053-david-holtzman
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    Dataset updated
    Nov 17, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    " Plan Description: Important features of this plan include: - It puts areas most impacted by LAX in the same district as the airport. - It groups large historic communities such as South LA, Southeast LA and East LA in single districts. - It puts the largely working-class heart of the San Fernando Valley in a district with similar communities. - It puts historic Chinatown in the same district as the world-renowned high concentrations of Asian language speakers to the east. - It puts historic Little Armenia in the same district as the burgeoning population of Armenian-Americans and Armenian language speakers in Glendale, Burbank, Pasadena and Altadena. - It gives 3 supervisors beach areas in their districts, distributing opportunities for branding highly visible services such as beach transportation or trash cans. Plan Objectives: Important features of this plan include: - It puts areas most impacted by LAX in the same district as the airport. - It groups large historic communities such as South LA, Southeast LA and East LA in single districts. - It puts the largely working-class heart of the San Fernando Valley in a district with similar communities. - It puts historic Chinatown in the same district as the world-renowned high concentrations of Asian language speakers to the east. - It puts historic Little Armenia in the same district as the burgeoning population of Armenian-Americans and Armenian language speakers in Glendale, Burbank, Pasadena and Altadena. - It gives 3 supervisors beach areas in their districts, distributing opportunities for branding highly visible services such as beach transportation or trash cans." - OP 053 (David Holtzman)

  3. A

    2020 Census for Boston

    • data.boston.gov
    csv, pdf
    Updated Sep 8, 2023
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    Planning Department (2023). 2020 Census for Boston [Dataset]. https://data.boston.gov/dataset/2020-census-for-boston
    Explore at:
    pdf(713107), csv(34556), csv(4944), csv(94470), csv(34702)Available download formats
    Dataset updated
    Sep 8, 2023
    Dataset authored and provided by
    Planning Department
    Area covered
    Boston
    Description

    2020 Census data for the city of Boston, Boston neighborhoods, census tracts, block groups, and voting districts. In the 2020 Census, the U.S. Census Bureau divided Boston into 207 census tracts (~4,000 residents) made up of 581 smaller block groups. The Boston Planning and Development Agency uses the 2020 tracts to approximate Boston neighborhoods. The 2020 Census Redistricting data also identify Boston’s voting districts.

    For analysis of Boston’s 2020 Census data including graphs and maps by the BPDA Research Division and Office of Digital Cartography and GIS, see 2020 Census Research Publications

    For a complete official data dictionary, please go to 2020 Census State Redistricting Data (Public Law 94-171) Summary File, Chapter 6. Data Dictionary. 2020 Census State Redistricting Data (Public Law 94-171) Summary File

    2020 Census Tracts In Boston

    2020 Census Block Groups In Boston

    Boston Neighborhood Boundaries Approximated By 2020 Census Tracts

    Boston Voting District Boundaries

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Ethan Liu; Daniel Dudek (2023). A Comparison of the Water Quality Between Chinatown and Bayside: Two Demographically Different Regions in NYC [Dataset]. http://doi.org/10.25334/1EWX-1X72

A Comparison of the Water Quality Between Chinatown and Bayside: Two Demographically Different Regions in NYC

Explore at:
Dataset updated
May 9, 2023
Dataset provided by
QUBES
Authors
Ethan Liu; Daniel Dudek
Area covered
Bayside, New York
Description

Being Published in Journal of Emerging Investigators: In this research paper, we will be comparing the water quality in Chinatown –an area with a majority poor Asian population– and Bayside –a more affluent and wellfunded region in New York City. Our hypothesis was that Bayside’s water will be safer to drink than Chinatown’s for the following reasons: (a) Bayside received a 62.5 million dollar grant to renew its piping system and (b) drinking water injustices have plagued communities with high rates of racial and economic minorities, as seen in the Flint Michigan water crisis. Researching if the accessibility of clean drinking water is dependent on the region is important to ensure no environmental injustices in water quality are occurring in an area of a specific racial and economic demographic. We selected 15 restaurants from both regions and tested for the pH and TDS in collected water samples. We then used DataClassroom to conduct t-tests and linear regression tests to analyze our data. In conclusion, we failed to reject our null hypothesis, as the water from Chinatown and Bayside had no significant difference. Our study raises several important future research questions...

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