7 datasets found
  1. california housing

    • kaggle.com
    zip
    Updated Nov 16, 2021
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    Kyrylo Chorniy (2021). california housing [Dataset]. https://www.kaggle.com/kirillchorniy/california-housing
    Explore at:
    zip(439711 bytes)Available download formats
    Dataset updated
    Nov 16, 2021
    Authors
    Kyrylo Chorniy
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Area covered
    California
    Description

    California housing data from the 1990 US Census more info: https://developers.google.com/machine-learning/crash-course/california-housing-data-description all credits to the original authors

  2. Universities with the highest shortage of student housing in the U.S. 2024

    • statista.com
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    Statista, Universities with the highest shortage of student housing in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1463947/student-housing-shortage-by-university-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Florida International University had the highest student housing shortage in 2024, with ****** beds. That means that the shortfall between enrollment and supply of beds was over ******. California State University Long Beach followed closely behind, with a shortage of ****** beds, while the Utah Valley University had a shortfall of ****** beds. Among the ** universities with the highest student housing shortage, the University of California (Santa Barbara) came last, with a deficit of ****** beds.

  3. California Housing Dataset - ML Crash Course

    • kaggle.com
    zip
    Updated Apr 16, 2018
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    Vikram Tiwari (2018). California Housing Dataset - ML Crash Course [Dataset]. https://www.kaggle.com/datasets/vikramtiwari/california-housing-dataset-ml-crash-course/discussion
    Explore at:
    zip(439711 bytes)Available download formats
    Dataset updated
    Apr 16, 2018
    Authors
    Vikram Tiwari
    Area covered
    California
    Description

    Context

    The data used in the Machine Learning Crash course by Google here: https://developers.google.com/machine-learning/crash-course/ The original data source is: https://storage.googleapis.com/mledu-datasets/california_housing_train.csv

    Content

    Generic California housing data from 1990 but cleaner

    Acknowledgements

    Google ML Crash Course

    Inspiration

    Wasn't here?

  4. h

    tif

    • huggingface.co
    Updated Sep 12, 2024
    + more versions
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    haibara (2024). tif [Dataset]. https://huggingface.co/datasets/haibaraconan/tif
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    Dataset updated
    Sep 12, 2024
    Authors
    haibara
    Description

    This directory includes a few sample datasets to get you started.

    california_housing_data*.csv is California housing data from the 1990 US Census; more information is available at: https://developers.google.com/machine-learning/crash-course/california-housing-data-description

    mnist_*.csv is a small sample of the MNIST database, which is described at: http://yann.lecun.com/exdb/mnist/

    anscombe.json contains a copy of Anscombe's quartet; it was originally described in Anscombe, F. J. (1973).… See the full description on the dataset page: https://huggingface.co/datasets/haibaraconan/tif.

  5. f

    Data from: No Spillover Effect of the Foreclosure Crisis on Weight Change:...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Sep 28, 2016
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    Dow, William H.; Downing, Janelle; Warton, Margaret; Laraia, Barbara; Schillinger, Dean; Adler, Nancy; Karter, Andrew; Rodriguez, Hector (2016). No Spillover Effect of the Foreclosure Crisis on Weight Change: The Diabetes Study of Northern California (DISTANCE) [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001568611
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    Dataset updated
    Sep 28, 2016
    Authors
    Dow, William H.; Downing, Janelle; Warton, Margaret; Laraia, Barbara; Schillinger, Dean; Adler, Nancy; Karter, Andrew; Rodriguez, Hector
    Area covered
    Northern California, California
    Description

    The emerging body of research suggests the unprecedented increase in housing foreclosures and unemployment between 2007 and 2009 had detrimental effects on health. Using data from electronic health records of 105,919 patients with diabetes in Northern California, this study examined how increases in foreclosure rates from 2006 to 2010 affected weight change. We anticipated that two of the pathways that explain how the spike in foreclosure rates affects weight gain—increasing stress and declining salutary health behaviors- would be acute in a population with diabetes because of metabolic sensitivity to stressors and health behaviors. Controlling for unemployment, housing prices, temporal trends, and time-invariant confounders with individual fixed effects, we found no evidence of an association between the foreclosure rate in each patient's census block of residence and body mass index. Our results suggest, although more than half of the population was exposed to at least one foreclosure within their census block, the foreclosure crisis did not independently impact weight change.

  6. Average price per square foot in new single-family homes U.S. 2000-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  7. Rate of homelessness in the U.S. 2023, by state

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). Rate of homelessness in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727847/homelessness-rate-in-the-us-by-state/
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    When analyzing the ratio of homelessness to state population, New York, Vermont, and Oregon had the highest rates in 2023. However, Washington, D.C. had an estimated ** homeless individuals per 10,000 people, which was significantly higher than any of the 50 states. Homeless people by race The U.S. Department of Housing and Urban Development performs homeless counts at the end of January each year, which includes people in both sheltered and unsheltered locations. The estimated number of homeless people increased to ******* in 2023 – the highest level since 2007. However, the true figure is likely to be much higher, as some individuals prefer to stay with family or friends - making it challenging to count the actual number of homeless people living in the country. In 2023, nearly half of the people experiencing homelessness were white, while the number of Black homeless people exceeded *******. How many veterans are homeless in America? The  number of homeless veterans in the United States has halved since 2010. The state of California, which is currently suffering a homeless crisis, accounted for the highest number of homeless veterans in 2022. There are many causes of homelessness among veterans of the U.S. military, including post-traumatic stress disorder (PTSD), substance abuse problems, and a lack of affordable housing.

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Kyrylo Chorniy (2021). california housing [Dataset]. https://www.kaggle.com/kirillchorniy/california-housing
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california housing

california housing dataset from Google

Explore at:
zip(439711 bytes)Available download formats
Dataset updated
Nov 16, 2021
Authors
Kyrylo Chorniy
License

http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

Area covered
California
Description

California housing data from the 1990 US Census more info: https://developers.google.com/machine-learning/crash-course/california-housing-data-description all credits to the original authors

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