SOCR Data

From Socr

(Difference between revisions)
Jump to: navigation, search
(Other Data)
(External Data Archives)
 
(5 intermediate revisions not shown)
Line 68: Line 68:
* [[SOCR_Data_KneePainData_041409 | Knee Pain Centroid Locations Data]]
* [[SOCR_Data_KneePainData_041409 | Knee Pain Centroid Locations Data]]
* [[SOCR_Data_NIPS_InfantVitK_ShotData | Neonate Infant Pain Score (NIPS) Data (Vitamin K shots)]]
* [[SOCR_Data_NIPS_InfantVitK_ShotData | Neonate Infant Pain Score (NIPS) Data (Vitamin K shots)]]
 +
 +
===Healthcare and Health Science Data===
 +
* [https://umich.instructure.com/courses/38100/files/ A number of case-studies including Big and Heterogeneous clinical, nursing, and healthcare datasets].
=== [[SOCR_US_CensusData | US Census Data]]===
=== [[SOCR_US_CensusData | US Census Data]]===
Line 90: Line 93:
* [[SOCR_012708_ID_Data_HotDogs | Hot Dog Calorie and Sodium Dataset]]
* [[SOCR_012708_ID_Data_HotDogs | Hot Dog Calorie and Sodium Dataset]]
* [http://search.datacite.org/ui DataCite DOI Archive for diverse types of datasets]
* [http://search.datacite.org/ui DataCite DOI Archive for diverse types of datasets]
 +
 +
===SOCR Course Data and Case-Studies===
 +
* [https://umich.instructure.com/courses/38100 UMich HS 853, Fall 2015]
 +
** [https://umich.instructure.com/courses/38100/files General Resources]
 +
** [https://umich.instructure.com/courses/38100/files/folder/data Small Datasets]
 +
** [https://umich.instructure.com/courses/38100/files/folder/Case_Studies Biomedical and Health Science Case-Studies]
 +
* [https://umich.instructure.com/courses/90136 UMich HS 853, Fall 2016]
 +
** [https://umich.instructure.com/courses/90136/files General Resources including data, case-studies, lecture notes and code]
 +
* [https://umich.instructure.com/courses/143011/ UMich Data Science and Predictive Analytics (HS 650)]
 +
** [https://umich.instructure.com/courses/143011/files General Resources including data, case-studies, lecture notes and code]
 +
 +
===External Data Archives===
 +
* [http://www.nature.com/sdata/archive Nature Scientific Data]
 +
* [https://toolbox.google.com/datasetsearch Google Data Search]
 +
* [https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier.html Centers for Medicare & Medicaid Services (CMS)]
 +
* [http://www.census.gov/developers/ US Census] and [https://usa.ipums.org/usa/ US Census Graphical API Interface]
 +
* [http://www.ncbi.nlm.nih.gov/gap database of Genotypes and Phenotypes (dbGaP)]
 +
 +
==Machine Interfaces to Downloading [[SOCR Data]]==
 +
In addition to human interactions with the [[SOCR Data]], we provide several machine interfaces to consume and process these data.
 +
 +
* [[SOCR Data]] can be copy pasted directly from the Wiki HTML pages into any of the [http://socr.umich.edu/html/ana/ SOCR Java applets].
 +
 +
* SOCR Data can also be loaded into an R computational environment automatically using the protocol below illustrated with the case of a [[SOCR_Data_PD_BiomedBigMetadata|Parkinson's Disease dataset]]:
 +
 +
library(rvest)
 +
# Loading required package: xml2
 +
 +
wiki_url <- read_html("http://wiki.socr.umich.edu/index.php/SOCR_Data_PD_BiomedBigMetadata")
 +
html_nodes(wiki_url, "#content")
 +
 +
pd_data <- html_table(html_nodes(wiki_url,"table")<math>[[1]]</math>)
 +
head(pd_data); summary(pd_data)
<hr>
<hr>

Current revision as of 12:08, 6 September 2018

Contents

SOCR Educational Materials - SOCR Data

The links below contain a number of datasets that may be used for demonstration purposes in probability and statistics education. There are two types of data - simulated (computer-generated using random sampling) and observed (research, observationally or experimentally acquired).

SOCR Data

Simulated data

The SOCR resources provide a number of mechanisms to simulate data using computer random-number generators. Here are some of the most commonly used SOCR generators of simulated data:

Observed data

The following collections include a number of real observed datasets from different disciplines, acquired using different techniques and applicable in different situations.

Climate Change Data

Population Data

Economic, Business and Stock Market Data

Consumer Price Index (CPI)

Stock Market Data

Monetary-Base Data

Budgets and Deficits Data

Sector Data, Population Perception Trends data

World Peace

Neuroimaging Data

Biomedical Data

Healthcare and Health Science Data

US Census Data

US Elections Data

Other Data

SOCR Course Data and Case-Studies

External Data Archives

Machine Interfaces to Downloading SOCR Data

In addition to human interactions with the SOCR Data, we provide several machine interfaces to consume and process these data.

  • SOCR Data can be copy pasted directly from the Wiki HTML pages into any of the SOCR Java applets.
  • SOCR Data can also be loaded into an R computational environment automatically using the protocol below illustrated with the case of a Parkinson's Disease dataset:
library(rvest)
# Loading required package: xml2

wiki_url <- read_html("http://wiki.socr.umich.edu/index.php/SOCR_Data_PD_BiomedBigMetadata")
html_nodes(wiki_url, "#content")

pd_data <- html_table(html_nodes(wiki_url,"table")[[1]])
head(pd_data); summary(pd_data)



Translate this page:

(default)

Deutsch

Español

Français

Italiano

Português

日本語

България

الامارات العربية المتحدة

Suomi

इस भाषा में

Norge

한국어

中文

繁体中文

Русский

Nederlands

Ελληνικά

Hrvatska

Česká republika

Danmark

Polska

România

Sverige

Personal tools