Difference between revisions of "SOCR Data"

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(External Data Archives)
(Biomedical Data)
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=== Biomedical Data===
 
=== Biomedical Data===
 +
* [https://www.healthdatagym.org/datasets Health Data Gym Archives]
 
* [[SOCR_Data_PD_BiomedBigMetadata|Human Health: Predictive Big Data Analytics, Modeling and Visualization of Clinical, Genetic and Imaging Data for Parkinson’s Disease]]
 
* [[SOCR_Data_PD_BiomedBigMetadata|Human Health: Predictive Big Data Analytics, Modeling and Visualization of Clinical, Genetic and Imaging Data for Parkinson’s Disease]]
 
* [[SOCR_Data_AMI_NY_1993_HeartAttacks| 1993 New York State Heart Attack Patients: Acute Myocardial Infarction (AMI), N=12,844]]
 
* [[SOCR_Data_AMI_NY_1993_HeartAttacks| 1993 New York State Heart Attack Patients: Acute Myocardial Infarction (AMI), N=12,844]]

Revision as of 10:21, 21 July 2023

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.

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)



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