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data-cleaning

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sfd99
sfd99 commented Apr 7, 2020

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...

cosmicBboy
cosmicBboy commented Jul 6, 2020

Is your feature request related to a problem? Please describe.

Currently the built-in Check methods relating to the comparison operators <, >, ==, etc. are sort of long and unwieldy (the rationale here was to make it human-readable). However, it seems like pandas and indeed python uses shorthand of ge (>=), le (<=), etc. for these binary operators.

**Describe the soluti

janagombitova
janagombitova commented May 13, 2020

Context

Why do we add this issue?

Our goal is to make it easy to visualise data and to make those visualisations of good quality and thus trustworthy. This also means setting limitations to what users can do, so they do not make mistakes.

Problem or idea

What is the cause?

Line charts are similar to scatter plots except that the measurement points are ordered by their x-axis va

Skytrax-Data-Warehouse

A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.

  • Updated Apr 18, 2020
  • Python

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