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spss
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Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
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Sep 5, 2020 - C
A python implementation of the common CHAID algorithm
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Sep 3, 2020 - Python
A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.
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Aug 18, 2020 - Jupyter Notebook
expss: Tables and Labels in R
r
excel
spss
pivot-tables
labels
recode
tables
vlookup
msexcel
spss-statistics
variable-labels
labels-support
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Aug 29, 2020 - R
R, SPSS, Tableau, Python, LaTeX
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Mar 22, 2016 - Jupyter Notebook
Choosing Any Rectangular Data File Using Interactive GUI Dialog Box, and Seamlessly Manipulating Tidy Data between an Excel Window and R Session
tsv
data
gui
cran
r
excel
spss
picker
easy
convenient
mbox
beginner
rda
htm
rmd-files
tibble
choose
rdata
rectangular
rectangular-data
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Sep 10, 2020 - R
This repository shows how its possible to use IBM Watson Studio and build a shiny application that will analyse the driver behavior and location risk. It also explains the business use case using Cognos Dashboards.
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Aug 10, 2019 - R
This code pattern will demonstrate a methodology to show how we can get analytical insights and visualisations from raw data on the Web.
visualisation
spss
startup
python-notebook
watson-natural-language
db2-warehouse
cognos
watson-studio
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Aug 29, 2019 - Jupyter Notebook
[SPSS] The study on the factors of High Blood Pressure in population over 65 years old.
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Dec 18, 2019
Demonstration of IBM Watson Studio capabilities.
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Aug 26, 2018 - Jupyter Notebook
Parse your SPS file and modify and save it to make working with tools like soscisurvey.de more flexible
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Dec 14, 2017 - JavaScript
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GREAT, Sam!
janitor is wonderful.
btw:
a shortcut to get Total Sums
for BOTH rows AND cols:
mtcars %>%
tabyl(am, cyl) %>%
adorn_totals(c("row", "col"))
am 4 6 8 Total
0 3 4 12 19
1 8 3 2 13
Total 11 7 14 32
So,
(easy) SUGGESTION -
also allow keyword:
"both"
as param to:
adorn_totals("both")
or maybe simply:
adorn_totals()
less coding...easier...