skimr

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CLI EDA for CSVs

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<!DOCTYPE html> <html> <head><title>R: Tidy Messy Data</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body><div class="container"> <h1> Tidy Messy Data <img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" /> </h1> <hr/> <div style="text-align: center;"> <a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a> <a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a> </div><h2>Documentation for package ‘tidyr’ version 1.3.0</h2> <ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li> <li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li> <li><a href="../NEWS">Package NEWS</a>.</li> </ul> <h2>Help Pages</h2> <table style="width: 100%;"> <tr><td style="width: 25%;"><a href="billboard.html">billboard</a></td> <td>Song rankings for Billboard top 100 in the year 2000</td></tr> <tr><td style="width: 25%;"><a href="chop.html">chop</a></td> <td>Chop and unchop</td></tr> <tr><td style="width: 25%;"><a href="cms_patient_experience.html">cms_patient_care</a></td> <td>Data from the Centers for Medicare & Medicaid Services</td></tr> <tr><td style="width: 25%;"><a href="cms_patient_experience.html">cms_patient_experience</a></td> <td>Data from the Centers for Medicare & Medicaid Services</td></tr> <tr><td style="width: 25%;"><a href="complete.html">complete</a></td> <td>Complete a data frame with missing combinations of data</td></tr> <tr><td style="width: 25%;"><a href="construction.html">construction</a></td> <td>Completed construction in the US in 2018</td></tr> <tr><td style="width: 25%;"><a href="expand.html">crossing</a></td> <td>Expand data frame to include all possible combinations of values</td></tr> <tr><td style="width: 25%;"><a href="drop_na.html">drop_na</a></td> <td>Drop rows containing missing values</td></tr> <tr><td style="width: 25%;"><a href="expand.html">expand</a></td> <td>Expand data frame to include all possible combinations of values</td></tr> <tr><td style="width: 25%;"><a href="expand_grid.html">expand_grid</a></td> <td>Create a tibble from all combinations of inputs</td></tr> <tr><td style="width: 25%;"><a href="extract.html">extract</a></td> <td>Extract a character column into multiple columns using regular expression groups</td></tr> <tr><td style="width: 25%;"><a href="fill.html">fill</a></td> <td>Fill in missing values with previous or next value</td></tr> <tr><td style="width: 25%;"><a href="fish_encounters.html">fish_encounters</a></td> <td>Fish encounters</td></tr> <tr><td style="width: 25%;"><a href="full_seq.html">full_seq</a></td> <td>Create the full sequence of values in a vector</td></tr> <tr><td style="width: 25%;"><a href="gather.html">gather</a></td> <td>Gather columns into key-value pairs</td></tr> <tr><td style="width: 25%;"><a href="hoist.html">hoist</a></td> <td>Hoist values out of list-columns</td></tr> <tr><td style="width: 25%;"><a href="household.html">household</a></td> <td>Household data</td></tr> <tr><td style="width: 25%;"><a href="nest.html">nest</a></td> <td>Nest rows into a list-column of data frames</td></tr> <tr><td style="width: 25%;"><a href="expand.html">nesting</a></td> <td>Expand data frame to include all possible combinations of values</td></tr> <tr><td style="width: 25%;"><a href="nest_legacy.html">nest_legacy</a></td> <td>Legacy versions of 'nest()' and 'unnest()'</td></tr> <tr><td style="width: 25%;"><a href="pack.html">pack</a></td> <td>Pack and unpack</td></tr> <tr><td style="width: 25%;"><a href="pivot_longer.html">pivot_longer</a></td> <td>Pivot data from wide to long</td></tr> <tr><td style="width: 25%;"><a href="pivot_wider.html">pivot_wider</a></td> <td>Pivot data from long to wide</td></tr> <tr><td style="width: 25%;"><a href="who.html">population</a></td> <td>World Health Organization TB data</td></tr> <tr><td style="width: 25%;"><a href="relig_income.html">relig_income</a></td> <td>Pew religion and income survey</td></tr> <tr><td style="width: 25%;"><a href="replace_na.html">replace_na</a></td> <td>Replace NAs with specified values</td></tr> <tr><td style="width: 25%;"><a href="separate.html">separate</a></td> <td>Separate a character column into multiple columns with a regular expression or numeric locations</td></tr> <tr><td style="width: 25%;"><a href="separate_longer_delim.html">separate_longer_delim</a></td> <td>Split a string into rows</td></tr> <tr><td style="width: 25%;"><a href="separate_longer_delim.html">separate_longer_position</a></td> <td>Split a string into rows</td></tr> <tr><td style="width: 25%;"><a href="separate_rows.html">separate_rows</a></td> <td>Separate a collapsed column into multiple rows</td></tr> <tr><td style="width: 25%;"><a href="separate_wider_delim.html">separate_wider_delim</a></td> <td>Split a string into columns</td></tr> <tr><td style="width: 25%;"><a href="separate_wider_delim.html">separate_wider_position</a></td> <td>Split a string into columns</td></tr> <tr><td style="width: 25%;"><a href="separate_wider_delim.html">separate_wider_regex</a></td> <td>Split a string into columns</td></tr> <tr><td style="width: 25%;"><a href="smiths.html">smiths</a></td> <td>Some data about the Smith family</td></tr> <tr><td style="width: 25%;"><a href="spread.html">spread</a></td> <td>Spread a key-value pair across multiple columns</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table1</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table2</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table3</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table4a</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table4b</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="table1.html">table5</a></td> <td>Example tabular representations</td></tr> <tr><td style="width: 25%;"><a href="chop.html">unchop</a></td> <td>Chop and unchop</td></tr> <tr><td style="width: 25%;"><a href="uncount.html">uncount</a></td> <td>"Uncount" a data frame</td></tr> <tr><td style="width: 25%;"><a href="unite.html">unite</a></td> <td>Unite multiple columns into one by pasting strings together</td></tr> <tr><td style="width: 25%;"><a href="unnest.html">unnest</a></td> <td>Unnest a list-column of data frames into rows and columns</td></tr> <tr><td style="width: 25%;"><a href="nest_legacy.html">unnest_legacy</a></td> <td>Legacy versions of 'nest()' and 'unnest()'</td></tr> <tr><td style="width: 25%;"><a href="unnest_longer.html">unnest_longer</a></td> <td>Unnest a list-column into rows</td></tr> <tr><td style="width: 25%;"><a href="unnest_wider.html">unnest_wider</a></td> <td>Unnest a list-column into columns</td></tr> <tr><td style="width: 25%;"><a href="pack.html">unpack</a></td> <td>Pack and unpack</td></tr> <tr><td style="width: 25%;"><a href="us_rent_income.html">us_rent_income</a></td> <td>US rent and income data</td></tr> <tr><td style="width: 25%;"><a href="who.html">who</a></td> <td>World Health Organization TB data</td></tr> <tr><td style="width: 25%;"><a href="who.html">who2</a></td> <td>World Health Organization TB data</td></tr> <tr><td style="width: 25%;"><a href="world_bank_pop.html">world_bank_pop</a></td> <td>Population data from the world bank</td></tr> </table> </div></body></html>