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Housing dataset

Housing Datasets - The United States Census Burea

  1. Datasets. A dataset is the assembled result of one data collection operation (for example, the 2010 Census) as a whole or in major subsets (2010 Census Summary File 1). The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. Datasets are usually for public use, with all personally.
  2. We will take the Housing dataset which contains information about d i fferent houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. There are 506 samples and 13 feature variables in this dataset. The objective is to predict the value of prices of the house using the given features
  3. There are 72 Variables gives house property and predicted variable is in last Sales price of the house. Acknowledgements. Please compare all the variable with respect to sales price and try to create different model, come up with the solution for Sales price predictions of the house. Inspiration. business probes is predicting sales pric
  4. Hier sollte eine Beschreibung angezeigt werden, diese Seite lässt dies jedoch nicht zu
  5. Housing Prices Dataset Copied from UCLA this data set contains information related to housing prices
  6. Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals

Linear Regression on Boston Housing Dataset by Animesh

Boston Dataset. The Boston Housing Dataset. A Datasetderived from information collected by the U.S. Census Service concerning housingin the area of Boston Mass. This dataset contains information collected by the U.S Census Serviceconcerning housing in the area of Boston Mass. It was obtained from the StatLibarchive (http://lib.stat.cmu FOSTER competitive, liquid, efficient, and resilient (CLEAR) national housing finance markets that support sustainable homeownership and affordable rental housing; OPERATE in a safe and sound manner appropriate for entities in conservatorship; and PREPARE for eventual exits from the conservatorships

The dataset folder contains 2140 images, 4 images for each house. Also, it contains a text file that contains the textual metadata of the dataset. Each row in the file respesents the number of house in order. The numbers represent number of bedrooms, number of bathrooms, area of the house, zipcode and the price Housing Data. HOME VALUES. Zillow Home Value Index (ZHVI): A smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. The raw version of that mid-tier ZHVI time series is also available. Zillow publishes top-tier ZHVI ($, typical value for homes within.

USA Housing dataset Kaggl

Housing · ageron/handson-ml/tree · GitHu

Perform exploratory data analysis techniques, such as predictive models and advanced visualization, on the Boston Housing Dataset. scikit-learn exploratory-data-analysis eda data-visualization pandas-dataframes boston-housing-dataset predictive-modelling pair-wise-scatter-plots segmented-distribution [INFO] dataset summary Boston House Prices dataset ===== Notes ----- Data Set Characteristics: :Number of Instances: 506 :Number of Attributes: 13 numeric/categorical predictive :Median Value (attribute 14) is usually the target :Attribute Information (in order): - CRIM per capita crime rate by town - ZN proportion of residential land zoned for lots over 25,000 sq.ft. - INDUS proportion of non. Cracking the Ames Housing Dataset with Linear Regression. A model combining prediction and statistical inference. Alvin T. Tan. Nov 13, 2019 · 14 min read. Image of Ames, Iowa by Tim Kiser from Creative Commons. T he feature richness of the Ames housing dataset (2011) is both alluring and bewildering in equal measure. It is easy to become entagled in its bountiful features while trying to.

In this dataset the sales price of houses in King County, Seattle are present. It includes homes sold between May 2014 and May 2015. Before doing anything we should first know about the dataset what it contains what are its features and what is the structure of data The database groups indicators along three dimensions: housing market, housing conditions and affordability, and public policies towards affordable housing. Each indicator presents data, relevant definitions and methodology, and key results. Indicators also discuss comparability, data issues, and, where relevant, include the raw data or descriptive information across countries

The Boston housing dataset is small, especially in t oday's age of big data. But there was a time where neatly collected and labeled data was extremely hard to access, so a publicly available dataset like this was very valuable to researchers. And although we now have things like Kaggle and open government initiatives which give us plenty of datasets to choose from, this one is a staple to. Fair Housing Initiatives Data ; Family Unification Program Youth Data ; Housing Discrimination Against Racial And Ethnic Minorities (2012) Moving To Opportunity (MTO) Participating Jurisdictions Survey Data PHA Homelessness Preferences: Web Census Survey Data Public-Sector Loans Data Section 108 Dat A dataset is a file for public use to download for analysis in spreadsheet, statistical, or geographic information systems software. Subnational data files include Federal Information Processing System (FIPS) codes, which uniquely identify geographic areas. The population and housing unit estimates are released on a flow basis throughout each.

The Global Housing Watch tracks developments in housing markets across the world on a quarterly basis. It provides current data on house prices as well as metrics used to assess valuation in housing markets, such as house price-to-rent and house-price-to-income ratios Housing data dashboard. The dashboard is now home to 65 interactive displays showcasing the latest publicly available data on housing in Australia. Over 8.3 million data points from 25 key national datasets are now included. Over the last year, the dashboard has been updated 176 times and 7 new displays added

Housing Prices Dataset Kaggl

These data series differ significantly from country to country, varying in frequency, type of property and vintage, covered area, priced unit, compilation method or seasonal adjustment. The specificities of each country's residential property markets and the absence of binding international standards for property price statistics could explain this variety. The selected series (nominal and. Data used: Kaggle-kc_house Dataset GitHub: you can find my source code here. Step 1: Exploratory Data Analysis (EDA) First, Let's import the data and have a look to see what kind of data we are dealing with: #import required libraries import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt #import Data Data = pd.read_csv('kc_house_data.csv') Data.head(5. The Housing Maintenance Complaints dataset contains complaints that are made by the public through the 311 Citizen Services Center, Code Enforcement Borough Offices or the internet for conditions which violate the New York City Housing Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL). Each complaint is associated with one or more housing maintenance problems received by HPD. Th The Housing Data Viewer is an interactive visualization tool that allows users to explore and compare housing data, create graphs and export content. Thematic Maps These thematic maps provide a quick overview of the Canadian Housing Statistics Program (CHSP) repository data HUD provides interested researchers with access to the original data sets generated by PD&R-sponsored data collection efforts, including the American Housing Survey, median family incomes and income limits, as well as microdata from research initiatives on topics such as housing discrimination, the HUD-insured multifamily housing stock, and the public housing population. The dataset update schedule is available here

Model Evaluation and Validation: Predicting Boston Housing

The Boston Housing dataset contains information about various houses in Boston through different parameters. This data was originally a part of UCI Machine Learning Repository and has been removed.. The full description of the dataset. feature_names ndarray. The names of features (data, target) tuple if return_X_y is Tru Many tables on census.gov are in downloadable XLS, CVS and PDF file formats. American FactFinder tables can be modified, bookmarked/saved, printed and downloaded. 2021. Shipments of New Manufactured homes by Month from 1959 to 2021. Shipments of Manufactured Homes by State from 2000 to 2021. Manufactured Housing statistics at a glance

Local authority housing statistics data returns for 2016 to 2017. 19 June 2018 Statistical data set Completing local authority housing statistics 2016 to 2017: guidance note Housing. The Housing indicator shows indices of residential property prices over time. Included are rent prices, real and nominal house prices, and ratios of price to rent and price to income; the main elements of housing costs.In most cases, the nominal house price covers the sale of newly-built and existing dwellings, following the. Housing Data Tools Interactive applications, created by the Census Bureau, to help you customize, and even visualize, statistics from multiple censuses, surveys, and programs The Census Bureau's housing data present a comprehensive picture of housing in America. You'll find a wide range of data on the size, age and type of American homes; home values, rents and mortgages, the housing and construction industry, and more. Read More. Housing Affordability

Boston housing dataset Kaggl

We select a house price index for each country that is most consistent with the quarterly U.S. house price index for existing single-family houses produced by the Federal Housing Finance Agency. We extend the preferred series for each country back to first quarter 1975 either with historical data or with data from secondary sources. Each country's house price index is seasonally adjusted. California Housing Data Set Description Many of the Machine Learning Crash Course Programming Exercises use the California housing data set, which contains data drawn from the 1990 U.S. Census. The following table provides descriptions, data ranges, and data types for each feature in the data set. Versions 1 to 3 of the data had not yet been used by communities in their AFH plans. We do not include versions 1 to 3 or 5 here. In addition to the raw data, we include the following HUD resources to assist users in applying the data for fair housing planning. Datasets (AFFHT006 and AFHT004a) • Public Use Crosswal

# Import libraries necessary for this project import numpy as np import pandas as pd from sklearn.model_selection import ShuffleSplit # Import supplementary visualizations code visuals.py import visuals as vs # Pretty display for notebooks %matplotlib inline # Load the Boston housing dataset data = pd.read_csv('housing.csv') prices = data['MEDV'] features = data.drop('MEDV', axis = 1. The mission of the Office of Housing (OH) is to create strong, healthy communities, prevent displacement and increase opportunities for people of all income levels to live in Seattle. OH supports development and preservation of affordable multifamily homes, homeownership opportunities, policy and program development, free weatherization services and home repair loans and stewardship of city-funded affordable homes The Geospatial Commission has identified over 350 datasets and portals that are used during the housing and planning process. They come from a variety of sources, with a variety of licences, and. AIHW National Housing Assistance Data Repository, 2020. Social housing. Dwellings, households and household occupants. Dwellings by Remoteness Areas. Wait lists. Suitability of social housing size. Household finances . Financial assistance for housing. National Social Housing Survey, 2018. Social housing. Tenant satisfaction with service

English Housing Survey datasets deposited at the UK Data Archive are made available via the UK Data Service for users who want to undertake secondary analysis. The UK Data Service provide help and. Housing data and analysis at the Greater London Authority. These pages bring together the Greater London Authority's key housing-related publications and data sources, including: The annual Housing in London report, the evidence base for the Mayor's London Housing Strategy; The quarterly London Housing Market Report; Housing Research Notes, a series of in-depth analysis of specific topics. CMHC's housing data will keep you up-to-date with industry changes. Our data tables provide the latest statistics on household characteristics, housing indicators, housing and rental markets, mortgage and debt. We are leading the charge to develop tools and applications to facilitate the exchange of data in the industry and address data gaps. Data tables Rental markets, housing markets. Predicting median house prices from 1990 US census data. comp-activ. Download comp-activ.tar.gz Predict a computer system activity from system performance measures.. pumadyn family of datasets. Download pumadyn-family This is a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm Housing supply data sources. This note sets out the two measures of housing supply used by the GLA, reflecting the different targets set out in the Mayor's London Plan and London Housing Strategy. London Plan . The housing provision targets set out in the London Plan are defined in terms of total net housing supply, comprising three components: Conventional completions: self-contained homes.

With over 1 million+ homes for sale available on the website, Trulia can match you with a house you will want to call home. Find a home The FHFA House Price Index (FHFA HPI ®) is the nation's only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully. Dataset. Low-Income Housing Tax Credit (LIHTC): Tenant Level Data. Other Datasets. The state housing finance agencies (HFAs) that administer the LIHTC program are required by the Housing and Economic Recovery Act of 2008 to submit to HUD information concerning race, ethnicity, family composition, age, income, use of rental assistance, disability. Die hier gelieferten Daten stellen die Anzahl der Zugfahrten und Verspätungsminuten pro Tag und Betriebsstelle dar. Berücksichtigt wurden alle Bst, über die mindestens 10..

Although additional housing payment data have helped during the pandemic, no data are perfect. Black Knight and the MBA's administrative datasets provide comprehensive data on forbearance and delinquencies but do not include demographic and socioeconomic information. And survey datasets, including the Census Bureau's Housing Pulse Survey and the University of Southern California's. Need help displaying data? For mobile devices allow a full minute for data to appear. 1. Select up to 3 locations (scroll down to see more) 2. Hover on points of interest 3. Undo buttons at lower right. See User guide to download data and more Realtor.com®'s March housing data release indicates a competitive early spring season, as listing prices continue to break through recent all-time highs 1 Dataset View 2016 Assessment of Fair Housing Report by the City of Philadelphia and the Philadelphia Housing Authority; Atlas app. For any Philadelphia address you search, use Atlas to find the history of permits, licenses, inspections, property values, zoning, document archives, crimes, 311 services... 52 Datasets View Atlas app; Data and Resources. Housing Production 1994 - August 2019.

The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q4 2020 about appraisers, HPI, housing, price index, price, indexes, and USA

Notes on local authority housing statistics (LAHS) data sets 2018 to 2019. Some regional/England figures in the LAHS tables are calculated averages which cannot be obtained by summing the local. House hunting — the data scientist way. Atma Mani. Follow. Oct 27, 2018 · 13 min read. At some point in time, each of us would have went through the process of either renting or buying a house.

Freedom House rates people's access to political rights and civil liberties in 210 countries and territories through its annual Freedom in the World report. Individual freedoms—ranging from the right to vote to freedom of expression and equality before the law—can be affected by state or nonstate actors. Click on a country name below to access the full country narrative report Housing price statistics; Data; Database; Database - Housing price statistics. Housing price statistics. Overview Data Main tables Database Visualisations Publications Methodology Legislation Links Database. The navigation tree is loading... News. What's new? Euro indicators.

It is not often that monthly economic data makes you look agog. But the latest lending finance data reveals just how insane the housing market has become around the nation. So absurd it is that. Housing outcomes for disabled adults, with analysis by age, sex, impairment type and country using Annual Population Survey (APS) data. UK House Price Index: February 2021 Monthly house price inflation in the UK, calculated using data from HM Land Registry, Registers of Scotland, and Land and Property Services Northern Ireland

The Boston Housing Dataset Kaggl

Each week (typically Thursdays), we are temporarily releasing a new dataset to keep everyone up-to-date on the latest developments in the housing market. Check out the latest data, commentary, and news on how COVID-19 is impacting the housing market. All data here is computed daily as either a rolling 1, 4 or 12-week window. The local data is grouped by metropolitan area and by county. All of this data is subject to revisions weekly and should be viewed with caution. If there are any. The Street View House Numbers (SVHN) Dataset SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting. It can be seen as similar in flavor to MNIST (e.g., the images are of small cropped digits), but incorporates an order of magnitude more labeled data (over 600,000 digit images) and comes.

Linear Regression on Housing

  1. Data for Housing is a data science training program that will prepare planners and policymakers working across all sectors to manipulate and analyze California's housing and transportation data. This six-day workshop will train agency personnel to use modern computational data analysis tools, with a curriculum built out of California-specific and publicly available datasets. Despite the.
  2. A range of data sources on housing presenting 14 housing summary measures, which provide an overview of the availability and affordability of privately-owned and social housing for local..
  3. Additional Housing Data: Subsidized Households Detail: Household Type (Female Headed with Children, Disability, Age 62 or Older), Race and Ethnicity (Native American, Asian or Pacific Islander, Hispanic, Black, White), Demographics (Subsidized Households, Household Size, Subsidized Population), Rent and Income (Annual Income as % AMI, Monthly Rent, Annual Income, Extremely Low Income
  4. Have house prices or rents gone up or down in your country in recent years? What share of the population live in owned or rented homes? Explore the new interactive publication Housing in Europe - statistics visualised which shows the latest figures on many different aspects of housing
  5. Housing unit is a house, an apartment, a group of rooms, or a single room occupied or intended for occupancy as separate living quarters. Separate living quarters are those in which the occupants live separately from others in the structure and which have direct access from the outside of the building or through a common hall. For vacant units, the criteria of separateness and direct access.
  6. HousingExpert is the most dynamic data intelligence platform on UK Housing Association finance, stock and development pipeline available in the market. What does it include? With 3 unique data sources in one place, HousingExpert gives complete and unique insights into the UK housing market
  7. Snapshot of data for a fixed period (data will not change even if updated on the site) Latest available data for a fixed period, Latest available data, Sharing options. Facebook; Twitter; E-Mail; Permanent URL. Copy the URL to open this chart with all your selections. Embed code. Use this code to embed the visualisation into your website. Width: px Preview Embedding. OECD. Data. Catalogue of.

Datasets - data.gov.i

UNdata is an internet-based data service which brings UN statistical databases within easy reach of users through a single entry point (http://data.un.org/) from. Open-Data-Portal Das Datenportal der Deutschen Bahn AG. Auf diesem Portal veröffentlicht die Deutsche Bahn AG einen wachsenden Datenbestand rund um Infrastruktur und Mobilität. Die Daten stehen zur freien Verwendung und Weiterverwertung, in maschinenlesbarer und offen lizenzierter Form, in unterschiedlichen Formaten, dauerhaft und kostenlos zur Verfügung. Aktuelle Informationen finden Sie. Ein Data Warehouse ist eine physische Datenbank, die eine integrierte Sicht auf (beliebige) Daten darstellt, um Analysen zu ermöglichen. A data warehouse is a copy of transaction data specifically structured for querying and reporting

Report: "Home-Baked: Housing, Heat, and Health" - Better

sklearn.datasets.fetch_california_housing — scikit-learn 0 ..

The house price growth trend began in 2012 again and since 2016 the house price index has exceeded its value from 2006. In 2018, the average new home was sold for 385 thousand U.S. dollars Housing Needs Data (Part 2b) Part 2b contains data, data-links or reports about the housing needs of Nevadans including tabulations of rent burden, overcrowding or substandard housing for homeowners, renters, seniors, persons with disabilities. Other occasional reports on special needs of veterans, homeless, recovering drug users and domestic violence survivors are available in this section. House building data, UK: update to October to December 2019 Time series data on starts and completions of new build dwellings in the UK, on a quarterly and annual basis (formerly produced by the..

handson-ml/housing.csv at master · ageron/handson-ml · GitHu

The datasets supply mortgage lenders, planners, researchers, policymakers, and housing advocates with information concerning the flow of mortgage credit in America's neighborhoods. Beginning with data for mortgages acquired in 2018, FHFA has ordered that the PUDBs be expanded to include additional data that is the same as the data definitions used by the regulations implementing the Home Mortgage Disclosure Act, as required by 12 U.S.C. 4543(a)(2) and 4546(d)(1) U.S. Census Data and Statistics. The United States Census Bureau provides data about the nation's people and economy. Every 10 years, it conducts the Population and Housing Census, in which every resident in the United States is counted. The agency also gathers data through more than 100 other surveys of households and businesses every one to five years. You can explore the results of the surveys or find popular quick facts Current Sales & Price Statistics Housing Affordability Index - Traditional Historical Housing Data Annual Historical Data Summary. Housing Matters Podcast. Your housing hub for market analysis, economic trends, and housing news. Market Minute. Get a roundup of weekly economic and market news that matters to real estate and your business. Shareable and Interactive Reports. Gain insights through. North Data ermittelt Wirtschaftsinformationen durch Analyse von Firmenveröffentlichungen mit Methoden aus Big Data und Machine Intelligence. Der Premium Service von North Data wird von Dienstleistern aus allen Bereichen für detaillierte Recherchen und finanzielle Analysen genutzt

The Boston Housing Dataset - Department of Computer

Data on activities by the Department of the Treasury and the Federal Reserve System to support mortgage markets through purchases of securities issued by Fannie Mae, Freddie Mac, and the Federal Home Loan Banks and by Ginnie Mae, a federal agency that guarantees securities backed by mortgages insured or guaranteed by the Federal Housing Administration, the Department of Veterans Affairs, and. Dept of Housing, Local Government and Heritage. This site presents a range of Open Data from the Dept of Housing, Local Government and Heritage, Ireland. This site presents a range of Open Data from the Dept of Housing, Local Government and Heritage, Ireland Datasets are available as CSV files. Find out about republishing and making use of the data . Google Chrome is blocking downloads of our UK HPI data files (Chrome 88 onwards) © 2021 The City of New York. All Right Reserve. NYC is a trademark and service mark of the City of New York This U.S. Census Bureau American Community Survey (ACS) five-year estimates data set includes information about the year housing structures were built in a number of geographic areas ranging from statewide to census tract. The data set includes housing age data from 2009-2016

Poland House Price Index - values, historical data and charts - was last updated on May of 2021. Housing Index in Poland is expected to be 151.00 points by the end of this quarter, according to Trading Economics global macro models and analysts expectations. Looking forward, we estimate Housing Index in Poland to stand at 160.00 in 12 months time. In the long-term, the Poland House Price Index. Nahb Housing Market Index in the United States averaged 51.47 from 1985 until 2021, reaching an all time high of 90 in November of 2020 and a record low of 8 in January of 2009. This page provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. United States Nahb Housing Market Index - data, historical chart, forecasts and. Green House Data, now known as Lunavi, was a data center and managed services provider headquartered in Cheyenne, Wyoming, United States that rebranded as Lunavi in 2020. Cheyenne is home to a campus with 45,000 square feet of data center space, as well as administrative and technical support offices. The company has additional data center locations in Washington, Colorado, Oregon, Georgia, Texas, New Jersey, and New York, with sales and marketing offices in Laramie and in Denver. These data provide information on mortgage payments, forbearance use, rental payments, foreclosure risk, credit availability for new homeowners, and households' housing insecurity. They also contain demographic and geographic information that demonstrates how the pandemic's impact varies by race, income, and place. Public discussion about these data, potential pitfalls, and interpretations. services and amenities. The data is produced from CMHC's Seniors Housing Survey (SHS). The SHS is a census covering all centers in each of the 10 provinces, and includes both private and non-profit seniors residences. Get findings from the latest Seniors Housing Survey on CMHC's Housing Observer

6 Different Ways to Compensate for Missing Values In a

House Price Index Datasets Federal Housing Finance Agenc

The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter. Microsoft: Innovating in housing finance to create and preserve more middle-income housing for greater Seattle (November 19, 2020) Microsoft: One Year Later: Increasing Our Commitment to Affordable Housing (January 15, 2020) AP: Microsoft: $250M more for affordable housing in Seattle area (January 15, 2020 Housing Index in Hong Kong decreased to 173.24 points in February from 173.67 points in January of 2021. Housing Index in Hong Kong averaged 88.35 points from 1994 until 2021, reaching an all time high of 185.31 points in August of 2018 and a record low of 31.34 points in May of 2003. This page provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics. Canada Housing Starts - data, historical chart, forecasts and calendar of releases - was last updated on May of 2021. Housing Starts in Canada is expected to be 250.00 Thousand units by the end of this quarter, according to Trading Economics global macro models and analysts expectations. Looking forward, we estimate Housing Starts in Canada to stand at 220.00 in 12 months time. In the long.

Housing Index in Canada averaged 69.01 points from 1981 until 2021, reaching an all time high of 112.30 points in March of 2021 and a record low of 37.70 points in May of 1983. This page provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news The housing data in late 2020 went parabolic by some measures and now it should moderate to a normal trend. But unless we see noticeable hits on forward-looking indicators of demand,. Wir begleiten Sie durch alle Schritte des Daten­pro­zesses und helfen Ihnen, die optimale Lösung zu finden. Unser Team berät Sie bei der anfäng­lichen Anfor­de­rungs­analyse und unter­stützt Sie bei Statistik- und Daten­themen. Wir erstellen kreative und innovative Software, die einen wirklichen Mehrwert schaffen. Services

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