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CIRP Freshmen Survey

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core

Files Size Format Created Updated License Source
4 209kB csv zip 1 year ago 1 year ago
CIRP survey of the american freshmen conducted in 2014. Contains student's opinions on various matters as well as information about institutions participating in a survey. Data Data comes from The Cooperative Institutional Research Program (CIRP) administered by the Higher Education Research read more
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Data Files

Download files in this dataset

File Description Size Last changed Download
freshmen-survey Survey of Full-Time Freshmen by Institutional Type 74kB csv (74kB) , json (438kB)
institutions Institutions Participating in the 2014 CIRP Freshman Survey 17kB csv (17kB) , json (53kB)
standard-errors Estimated Standard Errors of Percentages for Comparison Groups of Various Sizes 1kB csv (1kB) , json (3kB)
cirp-survey-of-freshmen_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 120kB zip (120kB)

freshmen-survey  

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

Field information

Field Name Order Type (Format) Description
Survey 1 string (default)
All Bacc Institutions 2 number (default)
4-yr Coll(Baccalaureate Institutions) 3 number (default)
Universities(Baccalaureate Institutions) 4 number (default)
Public 4-year Colleges 5 number (default)
Private 4-year Colleges 6 number (default)
Nonsec 4-year Colleges 7 number (default)
Catholic 4-year Colleges 8 number (default)
Oth Relig 4-year Colleges 9 number (default)
Public Universities 10 number (default)
Private Universities 11 number (default)
All HBCU 12 number (default)
Public HBCU 13 number (default)
Private HBCU 14 number (default)

institutions  

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

Field information

Field Name Order Type (Format) Description
ACE 1 any (default)
Institution 2 string (default)
City 3 string (default)
State 4 string (default)
Stratification Cell 5 string (default)
Included in National Norms 6 string (default)

standard-errors  

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

Field information

Field Name Order Type (Format) Description
Unweighted size of comparison groups 1 integer (default)
1% 2 number (default)
5% 3 number (default)
10% 4 number (default)
15% 5 number (default)
20% 6 number (default)
25% 7 number (default)
30% 8 number (default)
35% 9 number (default)
40% 10 number (default)
45% 11 number (default)
50% 12 number (default)

Integrate this dataset into your favourite tool

Use our data-cli tool designed for data wranglers:

data get https://datahub.io/core/cirp-survey-of-freshmen
data info core/cirp-survey-of-freshmen
tree core/cirp-survey-of-freshmen
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/cirp-survey-of-freshmen/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/core/cirp-survey-of-freshmen/r/0.csv

curl -L https://datahub.io/core/cirp-survey-of-freshmen/r/1.csv

curl -L https://datahub.io/core/cirp-survey-of-freshmen/r/2.csv

curl -L https://datahub.io/core/cirp-survey-of-freshmen/r/3.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/core/cirp-survey-of-freshmen/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/core/cirp-survey-of-freshmen/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/core/cirp-survey-of-freshmen/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/core/cirp-survey-of-freshmen/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)
    }
  }
})()

Read me

CIRP survey of the american freshmen conducted in 2014. Contains student’s opinions on various matters as well as information about institutions participating in a survey.

Data

Data comes from The Cooperative Institutional Research Program (CIRP) administered by the Higher Education Research Institute at UCLA https://www.heri.ucla.edu/monographs/TheAmericanFreshman2014.pdf

It consists of several types of information:

  1. Information obtained from the survey of freshmen about their opinions, politics,race, wealth, social status etc in file freshmen_survey.csv
  2. Information about institutions participating in the 2014 CIRP Freshman Survey in file institutions.csv
  3. Estimated standard errors of percentages for comparison groups of various sizes in file standard_errors.csv

Preparation

The script works with python 3. To install required modules run

pip install -r scripts/requirements.txt

Also make note that java must also be installed on the system. To get the final data, use script process.py to extract resources from the file TheAmericanFreshman2014.pdf. The script splits the document into pages and parses tables which are then merged into three resources.

to get freshmen_survey.csv, institutions.csv, standard_errors.csv
scripts/process.py

License

Public Domain Dedication and License (PDDL)

Datapackage.json

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