Dimas_Dataset2_DHSHomelessData_NEW_09_21_2020
This example loads a CSV of daily New York City DHS shelter census data and displays a summary of the dataset’s size and structure, showing the file size in kilobytes, row count, and column count. Using d3.csv to fetch and parse the remote file, the code formats the results into a large pre-formatted text block. The dataset tracks nightly counts of families and individuals, broken down by unit type and whether children are included, sourced from the City of New York’s public DHS Daily Report.
AI-generated description"This dataset includes the daily number of families and individuals residing in the Department of Homeless Services (DHS) shelter system and the daily number of families applying to the DHS shelter system."This data is reported values as of 09/08/2020.
This dataset is originally published at City of New York Social Services: DHS Daily Report
Data Formatted Can be Found At this Gist
Data Formatting: The original data source has been reformatted to make it ready for use in data visualizations in a "normal" formatting where each row is unique and each column represents a single attribute.
An unformatted version of the data can be found at this gist
In this new formatted dataset there are 5 columns:
Date of Census: night of stay in the shelter Count: count of staying in the shelter that night Units: Family or Individual, meaning is the count representative of an individual unit or a family unit Type: different types of individuals staying in the shelters each night ChildrenIncluded: binary indicator if children apart of the type (1: Yes, children || 0: No, children)
Questions/Related Tasks: How has the number of adults, children and individuals changed over time? Is one of these always the largest % of the total population in the shelters? -What is the biggest demographic in these shelters and how has it changed or not changed over time?
Attributes most interesting to me: Since these columns are all relative to the different demographics, the demographic is most interesting to be, i.e if they are a single women, family with children, a child, etc..