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Miller 6.11.0 (#1481)
* miller 6.11.0 * Artifacts from `make dev`
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docs/src/data-diving-examples.md

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@@ -160,11 +160,11 @@ CITRUS COUNTY 1332.9 79974.9 483785.1
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<b> stats2 -a corr,linreg-ols,r2 -f tiv_2011,tiv_2012</b>
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</pre>
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<pre class="pre-non-highlight-in-pair">
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tiv_2011_tiv_2012_corr 0.9730497632351701
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tiv_2011_tiv_2012_ols_m 0.9835583980337732
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tiv_2011_tiv_2012_ols_b 433854.6428968301
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tiv_2011_tiv_2012_corr 0.9730497632351692
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tiv_2011_tiv_2012_ols_m 0.9835583980337723
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tiv_2011_tiv_2012_ols_b 433854.6428968317
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tiv_2011_tiv_2012_ols_n 36634
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tiv_2011_tiv_2012_r2 0.9468258417320204
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tiv_2011_tiv_2012_r2 0.9468258417320189
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</pre>
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<pre class="pre-highlight-in-pair">
@@ -322,7 +322,7 @@ Look at bivariate stats by color and shape. In particular, `u,v` pairwise correl
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</pre>
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<pre class="pre-non-highlight-in-pair">
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u_v_corr w_x_corr
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0.1334180491027861 -0.011319841199852926
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0.1334180491027861 -0.011319841199866178
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</pre>
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<pre class="pre-highlight-in-pair">
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</pre>
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<pre class="pre-non-highlight-in-pair">
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color shape u_v_corr w_x_corr
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red circle 0.9807984401887242 -0.018565536587084836
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orange square 0.17685855992752933 -0.07104431573805543
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green circle 0.05764419437577257 0.011795729888018455
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red square 0.0557447712489348 -0.0006801456507506415
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yellow triangle 0.0445727377196281 0.024604310103079844
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yellow square 0.0437917292729612 -0.044621972016306265
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purple circle 0.03587354936895115 0.13411339541407613
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blue square 0.03241153095761152 -0.05350764811965621
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blue triangle 0.015356427073158612 -0.0006089997461408209
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orange circle 0.010518953877704181 -0.1627939732927932
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red triangle 0.00809782571528054 0.01248662135795501
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purple triangle 0.005155190909099739 -0.04505790925621933
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purple square -0.02568027696337717 0.057694296479293694
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green square -0.025776073450284875 -0.0032651732520739014
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orange triangle -0.030456661186085584 -0.13186999819263814
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yellow circle -0.06477331572781515 0.0736944981970553
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blue circle -0.1023476190192966 -0.030528539069839333
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green triangle -0.10901825107358747 -0.04848782060162855
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red circle 0.9807984401887236 -0.01856553658708754
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orange square 0.17685855992752927 -0.07104431573806054
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green circle 0.05764419437577255 0.01179572988801509
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red square 0.05574477124893523 -0.0006801456507510942
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yellow triangle 0.04457273771962798 0.024604310103081825
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yellow square 0.04379172927296089 -0.04462197201631237
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purple circle 0.03587354936895086 0.1341133954140899
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blue square 0.03241153095761164 -0.053507648119643196
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blue triangle 0.015356427073158766 -0.0006089997461435399
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orange circle 0.010518953877704048 -0.16279397329279383
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red triangle 0.00809782571528034 0.012486621357942596
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purple triangle 0.005155190909099334 -0.045057909256220656
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purple square -0.025680276963377404 0.05769429647930396
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green square -0.0257760734502851 -0.003265173252087127
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orange triangle -0.030456661186085785 -0.1318699981926352
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yellow circle -0.06477331572781474 0.07369449819706045
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blue circle -0.10234761901929677 -0.030528539069837757
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green triangle -0.10901825107358765 -0.04848782060162929
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</pre>

docs/src/how-to-release.md

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* If Go version is being updated: edit all three of
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* `go.mod`
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* `go.mod`
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* `.github/workflows/go.yml`
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* `.github/workflows/release.yml`
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* Create the release tarball:
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docs/src/how-to-release.md.in

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* If Go version is being updated: edit all three of
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* `go.mod`
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* `.github/workflows/release.yml`
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* `go.mod`
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* `.github/workflows/go.yml`
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* `.github/workflows/release.yml`
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docs/src/manpage.md

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This is simply a copy of what you should see on running `man mlr` at a command prompt, once Miller is installed on your system.
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<pre class="pre-non-highlight-non-pair">
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4mMILLER24m(1) 4mMILLER24m(1)
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MILLER(1) MILLER(1)
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1mNAME0m
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Miller -- like awk, sed, cut, join, and sort for name-indexed data such
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insertion-ordered hash map. This encompasses a variety of data
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formats, including but not limited to the familiar CSV, TSV, and JSON.
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(Miller can handle positionally-indexed data as a special case.) This
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manpage documents mlr 6.10.0-dev.
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manpage documents mlr 6.11.0.
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mlr --icsv --opprint cat example.csv
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pprint " " N/A "\n"
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tsv " " N/A "\n"
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xtab "\n" " " "\n\n"
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--fs {string} Specify FS for input and output.
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MIME Type for Comma-Separated Values (CSV) Files, the Miller docsite
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https://miller.readthedocs.io
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</pre>

docs/src/manpage.txt

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insertion-ordered hash map. This encompasses a variety of data
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docs/src/reference-verbs.md

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<b> data/medium</b>
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</pre>
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<pre class="pre-non-highlight-in-pair">
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x_y_cov 0.00004257482082749404
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x_y_corr 0.0005042001844473328
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y_y_cov 0.08461122467974005
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x_y_cov 0.000042574820827444476
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x_y_corr 0.0005042001844467462
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y_y_cov 0.08461122467974003
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y_y_corr 1
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x2_xy_cov 0.041883822817793716
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x2_xy_corr 0.6301743420379936
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x2_y2_cov -0.0003095372596253918
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x2_y2_corr -0.003424908876111875
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x2_xy_cov 0.04188382281779374
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x2_xy_corr 0.630174342037994
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x2_y2_cov -0.00030953725962542085
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x2_y2_corr -0.0034249088761121966
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<b> data/medium</b>
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<pre class="pre-non-highlight-in-pair">
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a x_y_ols_m x_y_ols_b x_y_ols_n x_y_r2 y_y_ols_m y_y_ols_b y_y_ols_n y_y_r2 xy_y2_ols_m xy_y2_ols_b xy_y2_ols_n xy_y2_r2
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pan 0.017025512736819345 0.500402892289764 2081 0.00028691820445815624 1 -0.00000000000000002890430283104539 2081 1 0.8781320866715664 0.11908230147563569 2081 0.4174982737731127
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eks 0.04078049236855813 0.4814020796765104 1965 0.0016461239223448218 1 0.00000000000000017862676354313703 1965 1 0.897872861169018 0.1073405443361234 1965 0.4556322386425451
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wye -0.03915349075204785 0.5255096523974457 1966 0.0015051268704373377 1 0.00000000000000004464425401127647 1966 1 0.8538317334220837 0.1267454301662969 1966 0.3899172181859931
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zee 0.0027812364960401333 0.5043070448033061 2047 0.000007751652858787357 1 0.00000000000000004819404567023685 2047 1 0.8524439912011011 0.12401684308018947 2047 0.39356598090006495
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hat -0.018620577041095272 0.5179005397264937 1941 0.00035200366460556604 1 -0.00000000000000003400445761787692 1941 1 0.8412305086345017 0.13557328318623207 1941 0.3687944261732266
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a x_y_ols_m x_y_ols_b x_y_ols_n x_y_r2 y_y_ols_m y_y_ols_b y_y_ols_n y_y_r2 xy_y2_ols_m xy_y2_ols_b xy_y2_ols_n xy_y2_r2
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pan 0.01702551273681908 0.5004028922897639 2081 0.00028691820445814767 1 0 2081 1 0.8781320866715662 0.11908230147563566 2081 0.41749827377311266
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eks 0.0407804923685586 0.48140207967651016 1965 0.0016461239223448587 1 0 1965 1 0.8978728611690183 0.10734054433612333 1965 0.45563223864254526
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wye -0.03915349075204814 0.5255096523974456 1966 0.0015051268704373607 1 0 1966 1 0.8538317334220835 0.1267454301662969 1966 0.38991721818599295
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zee 0.0027812364960399147 0.5043070448033061 2047 0.000007751652858786137 1 0 2047 1 0.8524439912011013 0.12401684308018937 2047 0.39356598090006495
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hat -0.018620577041095078 0.5179005397264935 1941 0.0003520036646055585 1 0 1941 1 0.8412305086345014 0.13557328318623216 1941 0.3687944261732265
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</pre>
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Here's an example simple line-fit. The `x` and `y`
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upsec_count_pca_m -39.03009744795354
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upsec_count_pca_b 979.9883413064914
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## step
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mode pan wye 1 0.3467901443380824 0.7268028627434533
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sum 0 0 50005000 4986.019681679581 5062.057444929905
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mean - - 5000.5 0.49860196816795804 0.5062057444929905
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stddev - - 2886.8956799071675 0.29029251511440074 0.2908800864269331
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var - - 8334166.666666667 0.08426974433144457 0.08461122467974005
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skewness - - 0 -0.0006899591185517494 -0.01784976012013298
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stddev - - 2886.8956799071675 0.2902925151144007 0.290880086426933
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var - - 8334166.666666667 0.08426974433144456 0.08461122467974003
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skewness - - 0 -0.0006899591185521965 -0.017849760120133784
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minlen 3 3 1 15 13
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docs/src/two-pass-algorithms.md

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man/manpage.txt

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man/mlr.1

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.\" Title: mlr
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.\" Author: [see the "AUTHOR" section]
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miller.spec

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* Wed Dec 13 2023 John Kerl <kerl.john.r@gmail.com> - 6.10.0-1
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