CPI Of New Single Family Houses Sold Based On 2005 Price

JohnSnowLabs

Files Size Format Created Updated License Source
2 104kB csv zip 1 month ago johnsnowlabs Data.gov
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Data Files

File Description Size Last changed Download Other formats
cpi-of-new-single-family-houses-sold-based-on-2005-price-csv [csv] 9kB cpi-of-new-single-family-houses-sold-based-on-2005-price-csv [csv] cpi-of-new-single-family-houses-sold-based-on-2005-price-csv [json] (73kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 15kB datapackage_zip [zip]

cpi-of-new-single-family-houses-sold-based-on-2005-price-csv  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Year 1 date (%Y-%m-%d) Construction price index for the year
Average_Sales_Price_Of_Houses_Actually_Sold_In_US 2 number Average selling price of the house for the year
Percent_Change_Annual 3 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Average_Sales_Price_Of_Typical_2005_House_In_US 4 number Average sale price of similar kind of a house in the year
Percent_Change_Annual_Based_On_2005 5 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Price_Index_Annual 6 number Price index of the house sold
Average_Sales_Price_Of_Houses_Actually_Sold_In_Northeast_Region 7 number Average selling price of the house for the year in the Northeast region
Percent_Change_For_Houses_Actually_Sold_In_Northeast_Region 8 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Average_Sales_Price_Of_Typical_2005_House_In_Northeast_Region 9 number Average sale price of similar kind of a house in the year
Percent_Change_Northeast_Region_Based_On_2005 10 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Price_Index_Northeast_Region 11 number Price index of the house sold
Average_Sales_Price_Of_Houses_Actually_Sold_In_Midwest_Region 12 number Average selling price of the house for the year in the Midwest region
Percent_Change_Midwest_Region 13 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Average_Sales_Price_Of_Typical_2005_House_In_Midwest_Region 14 number Average sale price of similar kind of a house in the year
Percent_Change_Midwest_Region_Based_On_2005 15 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Price_Index_Midwest_Region 16 number Price index of the house sold
Average_Sales_Price_Of_Houses_Actually_Sold_In_South_Region 17 number Average selling price of the house for the year in the Southeast region
Percent_Change_In_South_Region 18 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Average_Sales_Price_Of_Typical_2005_House_In_South_Region 19 number Average sale price of similar kind of a house in the year
Percent_Change_In_South_Region_Based_On_2005 20 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Price_Index_In_South_Region 21 number Price index of the house sold
Average_Sales_Price_Of_Houses_Actually_Sold_In_West_Region 22 number Average selling price of the house for the year in the West region
Percent_Change_In_West_Region 23 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Average_Sales_Price_Of_Typical_2005_House_In_West_Region 24 number Average sale price of similar kind of a house in the year
Percent_Change_In_West_Region_Based_On_2005 25 number Percentage change in the price of the house for the year compared to the price of house sold in 2005
Price_Index_In_West_Region 26 number Price index of the house sold

datapackage_zip  

This is a preview version. There might be more data in the original version.

Read me

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json