mirror of
https://github.com/johnkerl/miller.git
synced 2026-01-24 02:36:15 +00:00
248 lines
No EOL
16 KiB
HTML
248 lines
No EOL
16 KiB
HTML
|
||
<!DOCTYPE html>
|
||
|
||
<html>
|
||
<head>
|
||
<meta charset="utf-8" />
|
||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||
<title>Data-diving examples — Miller 6.0.0-alpha documentation</title>
|
||
|
||
<link rel="stylesheet" href="_static/scrolls.css" type="text/css" />
|
||
<link rel="stylesheet" href="_static/pygments.css" type="text/css" />
|
||
<link rel="stylesheet" href="_static/print.css" type="text/css" />
|
||
|
||
<script id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
|
||
<script src="_static/jquery.js"></script>
|
||
<script src="_static/underscore.js"></script>
|
||
<script src="_static/doctools.js"></script>
|
||
<script src="_static/language_data.js"></script>
|
||
<script src="_static/theme_extras.js"></script>
|
||
<link rel="index" title="Index" href="genindex.html" />
|
||
<link rel="search" title="Search" href="search.html" />
|
||
<link rel="next" title="Log-processing examples" href="log-processing-examples.html" />
|
||
<link rel="prev" title="Running shell commands" href="shell-commands.html" />
|
||
</head><body>
|
||
<div id="content">
|
||
<div class="header">
|
||
<h1 class="heading"><a href="index.html"
|
||
title="back to the documentation overview"><span>Data-diving examples</span></a></h1>
|
||
</div>
|
||
<div class="relnav" role="navigation" aria-label="related navigation">
|
||
<a href="shell-commands.html">« Running shell commands</a> |
|
||
<a href="#">Data-diving examples</a>
|
||
| <a href="log-processing-examples.html">Log-processing examples »</a>
|
||
</div>
|
||
<div id="contentwrapper">
|
||
<div id="toc" role="navigation" aria-label="table of contents navigation">
|
||
<h3>Table of Contents</h3>
|
||
<ul>
|
||
<li><a class="reference internal" href="#">Data-diving examples</a><ul>
|
||
<li><a class="reference internal" href="#flins-data">flins data</a></li>
|
||
<li><a class="reference internal" href="#color-shape-data">Color/shape data</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
|
||
</div>
|
||
<div role="main">
|
||
|
||
<div class="section" id="data-diving-examples">
|
||
<h1>Data-diving examples<a class="headerlink" href="#data-diving-examples" title="Permalink to this headline">¶</a></h1>
|
||
<div class="section" id="flins-data">
|
||
<h2>flins data<a class="headerlink" href="#flins-data" title="Permalink to this headline">¶</a></h2>
|
||
<p>The <a class="reference external" href="data/flins.csv">flins.csv</a> file is some sample data obtained from <a class="reference external" href="https://support.spatialkey.com/spatialkey-sample-csv-data">https://support.spatialkey.com/spatialkey-sample-csv-data</a>.</p>
|
||
<p>Vertical-tabular format is good for a quick look at CSV data layout – seeing what columns you have to work with:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> head -n 2 data/flins.csv | mlr --icsv --oxtab cat
|
||
</span> county Seminole
|
||
tiv_2011 22890.55
|
||
tiv_2012 20848.71
|
||
line Residential
|
||
</pre></div>
|
||
</div>
|
||
<p>A few simple queries:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint count-distinct -f county | head
|
||
</span> county count
|
||
Seminole 1
|
||
Miami Dade 2
|
||
Palm Beach 1
|
||
Highlands 2
|
||
Duval 1
|
||
St. Johns 1
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint count-distinct -f construction,line
|
||
</span></pre></div>
|
||
</div>
|
||
<p>Categorization of total insured value:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint stats1 -a min,mean,max -f tiv_2012
|
||
</span> tiv_2012_min tiv_2012_mean tiv_2012_max
|
||
19757.91 1061531.4637499999 2785551.63
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint \
|
||
</span><span class="hll"> stats1 -a min,mean,max -f tiv_2012 -g construction,line
|
||
</span></pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --oxtab \
|
||
</span><span class="hll"> stats1 -a p0,p10,p50,p90,p95,p99,p100 -f hu_site_deductible
|
||
</span></pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint \
|
||
</span><span class="hll"> stats1 -a p95,p99,p100 -f hu_site_deductible -g county \
|
||
</span><span class="hll"> then sort -f county | head
|
||
</span> county
|
||
Duval
|
||
Highlands
|
||
Miami Dade
|
||
Palm Beach
|
||
Seminole
|
||
St. Johns
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --oxtab \
|
||
</span><span class="hll"> stats2 -a corr,linreg-ols,r2 -f tiv_2011,tiv_2012
|
||
</span> tiv_2011_tiv_2012_corr 0.9353629581411828
|
||
tiv_2011_tiv_2012_ols_m 1.0890905877734807
|
||
tiv_2011_tiv_2012_ols_b 103095.52335638746
|
||
tiv_2011_tiv_2012_ols_n 8
|
||
tiv_2011_tiv_2012_r2 0.8749038634626236
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --from data/flins.csv --icsv --opprint \
|
||
</span><span class="hll"> stats2 -a corr,linreg-ols,r2 -f tiv_2011,tiv_2012 -g county
|
||
</span> county tiv_2011_tiv_2012_corr tiv_2011_tiv_2012_ols_m tiv_2011_tiv_2012_ols_b tiv_2011_tiv_2012_ols_n tiv_2011_tiv_2012_r2
|
||
Seminole - - - 1 -
|
||
Miami Dade 1 0.9306426512386247 -2311.1543275160047 2 0.9999999999999999
|
||
Palm Beach - - - 1 -
|
||
Highlands 0.9999999999999997 1.055692910750992 -4529.7939388307705 2 0.9999999999999992
|
||
Duval - - - 1 -
|
||
St. Johns - - - 1 -
|
||
</pre></div>
|
||
</div>
|
||
</div>
|
||
<div class="section" id="color-shape-data">
|
||
<h2>Color/shape data<a class="headerlink" href="#color-shape-data" title="Permalink to this headline">¶</a></h2>
|
||
<p>The <a class="reference external" href="https://github.com/johnkerl/miller/blob/master/docs/data/colored-shapes.dkvp">colored-shapes.dkvp</a> file is some sample data produced by the <a class="reference external" href="data/mkdat2">mkdat2</a> script. The idea is:</p>
|
||
<ul class="simple">
|
||
<li><p>Produce some data with known distributions and correlations, and verify that Miller recovers those properties empirically.</p></li>
|
||
<li><p>Each record is labeled with one of a few colors and one of a few shapes.</p></li>
|
||
<li><p>The <code class="docutils literal notranslate"><span class="pre">flag</span></code> field is 0 or 1, with probability dependent on color</p></li>
|
||
<li><p>The <code class="docutils literal notranslate"><span class="pre">u</span></code> field is plain uniform on the unit interval.</p></li>
|
||
<li><p>The <code class="docutils literal notranslate"><span class="pre">v</span></code> field is the same, except tightly correlated with <code class="docutils literal notranslate"><span class="pre">u</span></code> for red circles.</p></li>
|
||
<li><p>The <code class="docutils literal notranslate"><span class="pre">w</span></code> field is autocorrelated for each color/shape pair.</p></li>
|
||
<li><p>The <code class="docutils literal notranslate"><span class="pre">x</span></code> field is boring Gaussian with mean 5 and standard deviation about 1.2, with no dependence on color or shape.</p></li>
|
||
</ul>
|
||
<p>Peek at the data:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> wc -l data/colored-shapes.dkvp
|
||
</span> 10078 data/colored-shapes.dkvp
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> head -n 6 data/colored-shapes.dkvp | mlr --opprint cat
|
||
</span> color shape flag i u v w x
|
||
yellow triangle 1 11 0.6321695890307647 0.9887207810889004 0.4364983936735774 5.7981881667050565
|
||
red square 1 15 0.21966833570651523 0.001257332190235938 0.7927778364718627 2.944117399716207
|
||
red circle 1 16 0.20901671281497636 0.29005231936593445 0.13810280912907674 5.065034003400998
|
||
red square 0 48 0.9562743938458542 0.7467203085342884 0.7755423050923582 7.117831369597269
|
||
purple triangle 0 51 0.4355354501763202 0.8591292672156728 0.8122903963006748 5.753094629505863
|
||
red square 0 64 0.2015510269821953 0.9531098083420033 0.7719912015786777 5.612050466474166
|
||
</pre></div>
|
||
</div>
|
||
<p>Look at uncategorized stats (using <a class="reference external" href="https://github.com/johnkerl/scripts/blob/master/fundam/creach">creach</a> for spacing).</p>
|
||
<p>Here it looks reasonable that <code class="docutils literal notranslate"><span class="pre">u</span></code> is unit-uniform; something’s up with <code class="docutils literal notranslate"><span class="pre">v</span></code> but we can’t yet see what:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --oxtab stats1 -a min,mean,max -f flag,u,v data/colored-shapes.dkvp | creach 3
|
||
</span> flag_min 0
|
||
flag_mean 0.39888866838658465
|
||
flag_max 1
|
||
|
||
u_min 0.000043912454007477564
|
||
u_mean 0.4983263438118866
|
||
u_max 0.9999687954968421
|
||
|
||
v_min -0.09270905318501277
|
||
v_mean 0.49778696527477023
|
||
v_max 1.0724998185026013
|
||
</pre></div>
|
||
</div>
|
||
<p>The histogram shows the different distribution of 0/1 flags:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --opprint histogram -f flag,u,v --lo -0.1 --hi 1.1 --nbins 12 data/colored-shapes.dkvp
|
||
</span> bin_lo bin_hi flag_count u_count v_count
|
||
-0.010000000000000002 0.09000000000000002 6058 0 36
|
||
0.09000000000000002 0.19000000000000003 0 1062 988
|
||
0.19000000000000003 0.29000000000000004 0 985 1003
|
||
0.29000000000000004 0.39000000000000007 0 1024 1014
|
||
0.39000000000000007 0.4900000000000001 0 1002 991
|
||
0.4900000000000001 0.5900000000000002 0 989 1041
|
||
0.5900000000000002 0.6900000000000002 0 1001 1016
|
||
0.6900000000000002 0.7900000000000001 0 972 962
|
||
0.7900000000000001 0.8900000000000002 0 1035 1070
|
||
0.8900000000000002 0.9900000000000002 0 995 993
|
||
0.9900000000000002 1.0900000000000003 4020 1013 939
|
||
1.0900000000000003 1.1900000000000002 0 0 25
|
||
</pre></div>
|
||
</div>
|
||
<p>Look at univariate stats by color and shape. In particular, color-dependent flag probabilities pop out, aligning with their original Bernoulli probablities from the data-generator script:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --opprint stats1 -a min,mean,max -f flag,u,v -g color \
|
||
</span><span class="hll"> then sort -f color \
|
||
</span><span class="hll"> data/colored-shapes.dkvp
|
||
</span> color flag_min flag_mean flag_max u_min u_mean u_max v_min v_mean v_max
|
||
blue 0 0.5843537414965987 1 0.000043912454007477564 0.517717155039078 0.9999687954968421 0.0014886830387470518 0.49105642841387653 0.9995761761685742
|
||
green 0 0.20919747520288548 1 0.00048750676198217047 0.5048610622924616 0.9999361779701204 0.0005012669003675585 0.49908475928072205 0.9996764373885353
|
||
orange 0 0.5214521452145214 1 0.00123537823160913 0.49053241689014415 0.9988853487546249 0.0024486660337188493 0.4877637745987629 0.998475130432018
|
||
purple 0 0.09019264448336252 1 0.0002655214518428872 0.4940049543793683 0.9996465731736793 0.0003641137096487279 0.497050699948439 0.9999751864255598
|
||
red 0 0.3031674208144796 1 0.0006711367180041172 0.49255964831571375 0.9998822102016469 -0.09270905318501277 0.4965350959465078 1.0724998185026013
|
||
yellow 0 0.8924274593064402 1 0.001300228762057487 0.49712912165196765 0.99992313390574 0.0007109695568577878 0.510626599360317 0.9999189897724752
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --opprint stats1 -a min,mean,max -f flag,u,v -g shape \
|
||
</span><span class="hll"> then sort -f shape \
|
||
</span><span class="hll"> data/colored-shapes.dkvp
|
||
</span> shape flag_min flag_mean flag_max u_min u_mean u_max v_min v_mean v_max
|
||
circle 0 0.3998456194519491 1 0.000043912454007477564 0.49855450951394115 0.99992313390574 -0.09270905318501277 0.49552415740048406 1.0724998185026013
|
||
square 0 0.39611178614823817 1 0.0001881939925673093 0.499385458061097 0.9999687954968421 0.00008930277299445954 0.49653825501903986 0.9999751864255598
|
||
triangle 0 0.4015421115065243 1 0.000881025170573424 0.4968585405884252 0.9996614910922645 0.000716883409890845 0.501049532862137 0.9999946837499262
|
||
</pre></div>
|
||
</div>
|
||
<p>Look at bivariate stats by color and shape. In particular, <code class="docutils literal notranslate"><span class="pre">u,v</span></code> pairwise correlation for red circles pops out:</p>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --opprint --right stats2 -a corr -f u,v,w,x data/colored-shapes.dkvp
|
||
</span> u_v_corr w_x_corr
|
||
0.13341803768384553 -0.011319938208638764
|
||
</pre></div>
|
||
</div>
|
||
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span><span class="hll"> mlr --opprint --right \
|
||
</span><span class="hll"> stats2 -a corr -f u,v,w,x -g color,shape then sort -nr u_v_corr \
|
||
</span><span class="hll"> data/colored-shapes.dkvp
|
||
</span> color shape u_v_corr w_x_corr
|
||
red circle 0.9807984157534667 -0.018565046320623148
|
||
orange square 0.17685846147882145 -0.07104374629148885
|
||
green circle 0.05764430126828069 0.011795210176784067
|
||
red square 0.055744791559722166 -0.0006802175149145207
|
||
yellow triangle 0.04457267106380469 0.02460476240108526
|
||
yellow square 0.04379171794446621 -0.04462267239937856
|
||
purple circle 0.03587354791796681 0.13411247530136805
|
||
blue square 0.03241156493114544 -0.05350791240143263
|
||
blue triangle 0.015356295190464324 -0.0006084778850362686
|
||
orange circle 0.01051866723398945 -0.1627949723421722
|
||
red triangle 0.00809781003735548 0.012485753551391776
|
||
purple triangle 0.005155038421780437 -0.04505792148014131
|
||
purple square -0.02568020549187632 0.05769444883779078
|
||
green square -0.025775985300150128 -0.003265248022084335
|
||
orange triangle -0.030456930370361554 -0.131870019629393
|
||
yellow circle -0.06477338560056926 0.07369474300245252
|
||
blue circle -0.1023476302678634 -0.030529007506883508
|
||
green triangle -0.10901830007460846 -0.0484881707807228
|
||
</pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="footer" role="contentinfo">
|
||
© Copyright 2021, John Kerl.
|
||
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 3.2.1.
|
||
</div>
|
||
</body>
|
||
</html> |