JOSS Papers: exploratory data analysis

All Papers
1824
 Published Papers
1636
 Active Papers
188
published Published 10 months ago

fitgrid: A Python package for multi-channel event-related time series regression modeling

@turbach
10.21105/joss.03293
published Published over 2 years ago

SmartEDA: An R Package for Automated Exploratory Data Analysis

R
@sayanddude
10.21105/joss.01509
published Published almost 3 years ago

FSharpGephiStreamer: An idiomatic bridge between F# and network visualization

Batchfile F# C#
@muehlhaus
10.21105/joss.01445
published Published over 3 years ago

Multiblock PLS: Block dependent prediction modeling for Python

Python
@lvermue
10.21105/joss.01190
published Published almost 4 years ago

logKDE: log-transformed kernel density estimation

R C++
@hiendn
10.21105/joss.00870
published Published over 4 years ago

EFAshiny: An User-Friendly Shiny Application for Exploratory Factor Analysis

R
@PsyChiLin
10.21105/joss.00567
published Published over 4 years ago

visdat: Visualising Whole Data Frames

R
@njtierney
10.21105/joss.00355
published Published about 5 years ago

Plotrr: Functions for making visual exploratory data analysis with nested data easier.

Rebol R
@cdcrabtree
10.21105/joss.00190
published Published over 5 years ago

edarf: Exploratory Data Analysis using Random Forests

R
@zmjones
10.21105/joss.00092
Displaying all 9 papers

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