CPI Of New Single Family Houses Sold Based On 2005 Price

JohnSnowLabs

Files Size Format Created Updated License Source
2 151kB csv zip 6 months ago John Snow Labs Standard License John Snow Labs Data.gov
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Data Files

Download files in this dataset

File Description Size Last changed Download
cpi-of-new-single-family-houses-sold-based-on-2005-price-csv 9kB csv (9kB) , json (73kB)
cpi-of-new-single-family-houses-sold-based-on-2005-price_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 16kB zip (16kB)

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

Integrate this dataset into your favourite tool

Use our data-cli tool designed for data wranglers:

data get https://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price
data info JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price
tree JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price
# Get a list of dataset's resources
curl -L -s https://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/r/0.csv

curl -L https://datahub.io/JohnSnowLabs/cpi-of-new-single-family-houses-sold-based-on-2005-price/r/1.zip

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

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

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

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

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

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

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

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

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 = 'https://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 list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()
Datapackage.json