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Fix link in badge. Also small correction to news.

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elinw committed May 26, 2019
1 parent 3a3a0f2 commit 6adbf7dfee013ab2047e117d7c35717a9ba0fb72
Showing with 22 additions and 18 deletions.
  1. +1 −1 NEWS.md
  2. +1 −1 README.Rmd
  3. +20 −16 README.md
@@ -1,7 +1,7 @@
skimr 1.0.6 (2019-05-26)
=======================
### BUG FIXES
* Fix CRAN issue related to support for Latin-1
* Fix CRAN issue related to support for ISO8859-15.
* Fix issue where skim_tee() was not respecting ... options.
* Fix issue where all NA character vectors were not returning NA for
max() and min()
@@ -15,7 +15,7 @@ options(width = 120)
```

[![Build Status](https://travis-ci.org/ropensci/skimr.svg?branch=master)](https://travis-ci.org/ropensci/skimr)
[![codecov](https://codecov.io/gh/ropensci/skimr/branch/master/graph/badge.svg)](https://codecov.io/gh/ropenscilabs/skimr)
[![codecov](https://codecov.io/gh/ropensci/skimr/branch/master/graph/badge.svg)](https://codecov.io/gh/ropensci/skimr)
[![](https://badges.ropensci.org/175_status.svg)](https://github.com/ropensci/onboarding/issues/175)

<cite>skimr</cite> provides a frictionless approach to summary statistics which conforms
@@ -4,7 +4,7 @@ skimr <img src="man/figures/logo.png" align="right" height="139" />

[![Build
Status](https://travis-ci.org/ropensci/skimr.svg?branch=master)](https://travis-ci.org/ropensci/skimr)
[![codecov](https://codecov.io/gh/ropensci/skimr/branch/master/graph/badge.svg)](https://codecov.io/gh/ropenscilabs/skimr)
[![codecov](https://codecov.io/gh/ropensci/skimr/branch/master/graph/badge.svg)](https://codecov.io/gh/ropensci/skimr)
[![](https://badges.ropensci.org/175_status.svg)](https://github.com/ropensci/onboarding/issues/175)

<cite>skimr</cite> provides a frictionless approach to summary
@@ -36,7 +36,11 @@ still subject to change if an issue is discovered.
To install the version with the most recent changes that have not yet
been incorporated in the master branch (and may not be):

devtools::install_github("ropenscilabs/skimr", ref = "develop")
devtools::install_github("ropensci/skimr", ref = "develop")

or for version 2

devtools::install_github("ropensci/skimr", ref = "v-2")

Do not rely on APIs from the develop branch.

@@ -55,9 +59,9 @@ Skim statistics in the console
- reports each data type separately.
- handles dates, logicals, and a variety of other types
- supports spark-bar and spark-line based on [the pillar
package](https://github.com/hadley/pillar).
- allows users to customize the statistics included by data type and
to implement skimming for additional classes.
package](https://github.com/r-lib/pillar). allows users to customize
the statistics included by data type and to implement skimming for
additional classes.
- works with many Tidyverse features.

### Separates variables by class:
@@ -68,11 +72,11 @@ Skim statistics in the console
## n obs: 71
## n variables: 2
##
## ── Variable type:factor ──────────────────────────────────────────────────────────────────────
## ── Variable type:factor ─────────────────────────────────────────────────────────────────────────
## variable missing complete n n_unique top_counts ordered
## feed 0 71 71 6 soy: 14, cas: 12, lin: 12, sun: 12 FALSE
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## weight 0 71 71 261.31 78.07 108 204.5 258 323.5 423 ▃▅▅▇▃▇▂▂

@@ -84,11 +88,11 @@ Skim statistics in the console
## n obs: 150
## n variables: 5
##
## ── Variable type:factor ──────────────────────────────────────────────────────────────────────
## ── Variable type:factor ─────────────────────────────────────────────────────────────────────────
## variable missing complete n n_unique top_counts ordered
## Species 0 150 150 3 set: 50, ver: 50, vir: 50, NA: 0 FALSE
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## Petal.Length 0 150 150 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▁▂▅▅▃▁
## Petal.Width 0 150 150 1.2 0.76 0.1 0.3 1.3 1.8 2.5 ▇▁▁▅▃▃▂▂
@@ -103,7 +107,7 @@ Skim statistics in the console
## n obs: 87
## n variables: 13
##
## ── Variable type:character ───────────────────────────────────────────────────────────────────
## ── Variable type:character ──────────────────────────────────────────────────────────────────────
## variable missing complete n min max empty n_unique
## eye_color 0 87 87 3 13 0 15
## gender 3 84 87 4 13 0 4
@@ -113,17 +117,17 @@ Skim statistics in the console
## skin_color 0 87 87 3 19 0 31
## species 5 82 87 3 14 0 37
##
## ── Variable type:integer ─────────────────────────────────────────────────────────────────────
## ── Variable type:integer ────────────────────────────────────────────────────────────────────────
## variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## height 6 81 87 174.36 34.77 66 167 180 191 264 ▁▁▁▂▇▃▁▁
##
## ── Variable type:list ────────────────────────────────────────────────────────────────────────
## ── Variable type:list ───────────────────────────────────────────────────────────────────────────
## variable missing complete n n_unique min_length median_length max_length
## films 0 87 87 24 1 1 7
## starships 0 87 87 17 0 0 5
## vehicles 0 87 87 11 0 0 2
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## birth_year 44 43 87 87.57 154.69 8 35 52 72 896 ▇▁▁▁▁▁▁▁
## mass 28 59 87 97.31 169.46 15 55.6 79 84.5 1358 ▇▁▁▁▁▁▁▁
@@ -150,7 +154,7 @@ Skim statistics in the console
## n obs: 150
## n variables: 5
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## Petal.Length 0 150 150 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▁▂▅▅▃▁
## Sepal.Length 0 150 150 5.84 0.83 4.3 5.1 5.8 6.4 7.9 ▂▇▅▇▆▅▂▂
@@ -166,7 +170,7 @@ Skim statistics in the console
## n variables: 5
## group variables: Species
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## Species variable missing complete n mean sd p0 p25 p50 p75 p100 hist
## setosa Petal.Length 0 50 50 1.46 0.17 1 1.4 1.5 1.58 1.9 ▁▁▅▇▇▅▂▁
## setosa Petal.Width 0 50 50 0.25 0.11 0.1 0.2 0.2 0.3 0.6 ▂▇▁▂▂▁▁▁
@@ -572,7 +576,7 @@ data.
## n obs: 150
## n variables: 5
##
## ── Variable type:numeric ─────────────────────────────────────────────────────────────────────
## ── Variable type:numeric ────────────────────────────────────────────────────────────────────────
## variable iqr quantile
## Sepal.Length 1.3 7.7

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