commiting to main

Author: R. S. Doiel

README.md

@@ -2,10 +2,10 @@
 datatools
 =========
 
-_datatools_ is a rich collection of command line programs targetting
+_datatools_ is a rich collection of command line programs targeting
 data conversion, cleanup and analysis directly from your favorite
-POSIX shell. It has proven useful for data collaborations where
-individual members of a project may prefer different toolsets in their
+POSIX shell or Powershell. It has proven useful for data collaborations where
+individual members of a project may prefer different tool sets in their
 analysis (e.g. Julia, R, Python) but want to work from a common baseline.
 It also has been used intensively for internal reporting from various
 Caltech Library metadata sources.
@@ -18,10 +18,10 @@ The tools fall into three broad categories
 
 See [user manual](user-manual.md) for a complete list of the command line
 programs. The data transformation tools include support for formats such as
-Excel XML, csv, tab delimited files, json, yaml and toml.
+Excel XML, csv, tab delimited files, json, yaml, toml and url encoding/decoding.
 
-Compiled versions of the datatools collection are provided for Linux
-(amd64), Mac OS X (amd64), Windows 10 (amd64) and Raspbian (ARM7).
+Compiled versions of the datatools collection are provided for Linux (aarch64/amd64),
+Mac OS X (aarch64/amd64), Windows 10 (aarch64/amd64) and Raspberry Pi OS (aarch64).
 See https://github.com/caltechlibrary/datatools/releases.
 
 Use "-help" option for a full list of options for each utility (e.g. `csv2json -help`).
@@ -30,8 +30,8 @@ Data transformation
 -------------------
 
 The tooling around transformation includes data conversion. These
-include tools that work with CSV, tab delimited, JSON, TOML, YAML
-and Excel XML.
+include tools that work with CSV, tab delimited, JSON, TOML, YAML,
+Excel XML, and url encoded text.
 
 There is also tooling to change data shapes using JSON as the
 intermediate data format.
@@ -41,22 +41,21 @@ For the shell
 
 Various utilities for simplifying work on the command line.
 
-+ [findfile](docs/findfile/) - find files based on prefix, suffix or contained string
-+ [finddir](docs/finddir/) - find directories based on prefix, suffix or contained string
-+ [mergepath](docs/mergepath/) - prefix, append, clip path variables
-+ [range](docs/range/) - emit a range of integers (useful for numbered loops in Bash)
-+ [reldate](docs/reldate/) - display a relative date in YYYY-MM-DD format
-+ [reltime](docs/reltime/) - display a relative time in 24 hour notation, HH:MM:SS format
-+ [timefmt](docs/timefmt/) - format a time value based on Golang's time format language
-+ [urlparse](docs/urlparse/) - split a URL into parts
+- [mergepath](docs/mergepath/) - prefix, append, clip path variables
+- [reldocpath](reldocpath.1.md) - calculates relative paths given do paths
+- [range](docs/range/) - emit a range of integers (useful for numbered loops in Bash)
+- [reldate](docs/reldate/) - display a relative date in YYYY-MM-DD format
+- [reltime](docs/reltime/) - display a relative time in 24 hour notation, HH:MM:SS format
+- [timefmt](docs/timefmt/) - format a time value based on Golang's time format language
+- [urlparse](docs/urlparse/) - split a URL into parts
 
 For strings
 -----------
 
 _datatools_ provides the [string](docs/string/) command for working with
 text strings (limited to memory available).  This is commonly needed when
 cleanup data for analysis. The _string_ command was created for when the
-old Unix standbys- grep, awk, sed, tr are unwieldly or inconvenient.
+old Unix standbys- grep, awk, sed, tr are unwieldy or inconvenient.
 _string_ provides operations are common in most language like, trimming,
 splitting, and transforming letter case.  The _string_ command also makes
 it easy to join JSON string arrays into single a string using a delimiter

index.html

@@ -26,12 +26,12 @@
 <section>
 <h1 id="datatools">datatools</h1>
 <p><em>datatools</em> is a rich collection of command line programs
-targetting data conversion, cleanup and analysis directly from your
-favorite POSIX shell. It has proven useful for data collaborations where
-individual members of a project may prefer different toolsets in their
-analysis (e.g. Julia, R, Python) but want to work from a common
-baseline. It also has been used intensively for internal reporting from
-various Caltech Library metadata sources.</p>
+targeting data conversion, cleanup and analysis directly from your
+favorite POSIX shell or Powershell. It has proven useful for data
+collaborations where individual members of a project may prefer
+different tool sets in their analysis (e.g. Julia, R, Python) but want
+to work from a common baseline. It also has been used intensively for
+internal reporting from various Caltech Library metadata sources.</p>
 <p>The tools fall into three broad categories</p>
 <ul>
 <li>data transformation and conversion</li>
@@ -41,28 +41,27 @@ <h1 id="datatools">datatools</h1>
 </ul>
 <p>See <a href="user-manual.html">user manual</a> for a complete list of
 the command line programs. The data transformation tools include support
-for formats such as Excel XML, csv, tab delimited files, json, yaml and
-toml.</p>
+for formats such as Excel XML, csv, tab delimited files, json, yaml,
+toml and url encoding/decoding.</p>
 <p>Compiled versions of the datatools collection are provided for Linux
-(amd64), Mac OS X (amd64), Windows 10 (amd64) and Raspbian (ARM7). See
+(aarch64/amd64), Mac OS X (aarch64/amd64), Windows 10 (aarch64/amd64)
+and Raspberry Pi OS (aarch64). See
 https://github.com/caltechlibrary/datatools/releases.</p>
 <p>Use “-help” option for a full list of options for each utility
 (e.g. <code>csv2json -help</code>).</p>
 <h2 id="data-transformation">Data transformation</h2>
 <p>The tooling around transformation includes data conversion. These
-include tools that work with CSV, tab delimited, JSON, TOML, YAML and
-Excel XML.</p>
+include tools that work with CSV, tab delimited, JSON, TOML, YAML, Excel
+XML, and url encoded text.</p>
 <p>There is also tooling to change data shapes using JSON as the
 intermediate data format.</p>
 <h2 id="for-the-shell">For the shell</h2>
 <p>Various utilities for simplifying work on the command line.</p>
 <ul>
-<li><a href="docs/findfile/">findfile</a> - find files based on prefix,
-suffix or contained string</li>
-<li><a href="docs/finddir/">finddir</a> - find directories based on
-prefix, suffix or contained string</li>
 <li><a href="docs/mergepath/">mergepath</a> - prefix, append, clip path
 variables</li>
+<li><a href="reldocpath.1.html">reldocpath</a> - calculates relative
+paths given do paths</li>
 <li><a href="docs/range/">range</a> - emit a range of integers (useful
 for numbered loops in Bash)</li>
 <li><a href="docs/reldate/">reldate</a> - display a relative date in
@@ -78,7 +77,7 @@ <h2 id="for-strings">For strings</h2>
 command for working with text strings (limited to memory available).
 This is commonly needed when cleanup data for analysis. The
 <em>string</em> command was created for when the old Unix standbys-
-grep, awk, sed, tr are unwieldly or inconvenient. <em>string</em>
+grep, awk, sed, tr are unwieldy or inconvenient. <em>string</em>
 provides operations are common in most language like, trimming,
 splitting, and transforming letter case. The <em>string</em> command
 also makes it easy to join JSON string arrays into single a string using

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