StatCrunch logo (home)

Data sets shared by StatCrunch members
Showing 1 to 6 of 6 data sets matching famous
Data Set/Description Owner Last edited Size Views
Galton Data
The table below gives data based on the famous 1885 study of Francis Galton exploring the relationship between the heights of adult children and the heights of their parents. Each case is an adult child, and the variables are Family: The family that the child belongs to, labeled from 1 to 204 and 136A Father: The father's height, in inches Mother: The mother's height, in inches Gender: The gender of the child, male (M) or female (F) Height: The height of the child, in inches Kids: The number of kids in the family of the child
msullivan13803Dec 13, 201824KB271
Movie Budgets and Box Office Earnings (Updated Spring 2018)
This data all comes from the following website the tracks the financial performance of movies:
http://www.the-numbers.com/movie/budgets/all

The “Budget”, “Domestic Gross”, and “Worldwide Gross” columns each are in millions of dollars.

statcrunch_featuredOct 4, 2018270KB9104
SeriouslyIllHospitalizedAdults.xlsx
This dataset is a random sample of 1000 seriously ill hospitalized patients from a famous study called “SUPPORT” (Study to Understand Prognoses Preferences Outcomes and Risks of Treatment). The original study included more than 10,000 patients from 5 U.S. hospitals. As the name suggests, the purpose of the study was to determine what factors affected or predicted outcomes, such as whether the patient died in the hospital or how long they remained in the hospital. The study was funded by the Robert Wood Johnson Foundation, and is still the largest study of end-of-life care available. It helped lead to the growth of hospice and palliative care for seriously ill hospitalized adults. The study ended in 1995. Many publications report results from this study, including the following: W.A. Knaus, F.E. Harrell, J Lynn, et al. (1995): The SUPPORT prognostic model: Objective estimates of survival for seriously ill hospitalized adults. Annals of Internal Medicine 122:191-203.
anderson_instructorJan 10, 201587KB181
Iris data
This is a dataset made famous by Fisher, who used it to illustrate principles of discriminant analysis. Reference: Fisher, R. A. (1936). The Use of Multiple Measurements in Axonomic Problems. Annals of Eugenics 7, 179-188.
ColumnDescription
sepall Sepal length
sepalw Sepal width
petall Petal length
petalw Petal width
mystatcourseAug 10, 20082KB146
Iris data
This is a dataset made famous by Fisher, who used it to illustrate principles of discriminant analysis. Reference: Fisher, R. A. (1936). The Use of Multiple Measurements in Axonomic Problems. Annals of Eugenics 7, 179-188.
ColumnDescription
sepall Sepal length
sepalw Sepal width
petall Petal length
petalw Petal width
sampleuserMay 25, 20072KB118
StatNames
Names of famous statisticians, with scrabble values of the names.
ds-7%scAug 11, 2008242B17


Always Learning