Date: 04 Jul 2022
Module: pydataset
Installation: pip install pydataset
About: Access various available datasets instantly without going through
the hassle of searching, downloading and reading.
Sample Source Code:
from pydataset import data
# To load a dataset
titanic = data('titanic')
# To display the documentation of a dataset
data('titanic', show_doc=True)
# To see the available datasets
print("Available Dataset:")
print(data())
Execution:
$ python pydataset_sample.py
Output:
titanic
PyDataset Documentation (adopted from R Documentation. The displayed
examples are in R)
## titanic
### Description
The data is an observation-based version of the 1912 Titanic passenger
survival log,
### Usage
data(titanic)
### Format
A data frame with 1316 observations on the following 4 variables.
`class`
a factor with levels `1st class` `2nd class` `3rd class` `crew`
`age`
a factor with levels `child` `adults`
`sex`
a factor with levels `women` `man`
`survived`
a factor with levels `no` `yes`
### Details
titanic is saved as a data frame. Used to assess risk ratios
### Source
Found in many other texts
### References
Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press
Hilbe,
Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University
Press Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC
### Examples
data(titanic)
titanic$survival <- titanic$survived == "yes"
glmlr <- glm(survival ~ age + sex + factor(class), family=binomial,
data=titanic)
summary(glmlr)
Available Dataset:
dataset_id title
0 AirPassengers Monthly Airline Passenger Numbers 1949-1960
1 BJsales Sales Data with Leading Indicator
2 BOD Biochemical Oxygen Demand
3 Formaldehyde Determination of Formaldehyde
4 HairEyeColor Hair and Eye Color of Statistics Students
.. ... ...
752 VerbAgg Verbal Aggression item responses
753 cake Breakage Angle of Chocolate Cakes
754 cbpp Contagious bovine pleuropneumonia
755 grouseticks Data on red grouse ticks from Elston et al. 2001
756 sleepstudy Reaction times in a sleep deprivation study
[757 rows x 2 columns]
Reference: https://pypi.org/project/pydataset/
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