{"id":2004,"date":"2017-07-14T18:21:53","date_gmt":"2017-07-14T17:21:53","guid":{"rendered":"http:\/\/pcool.dyndns.org:8080\/statsbook\/?page_id=2004"},"modified":"2025-07-01T20:44:07","modified_gmt":"2025-07-01T19:44:07","slug":"exploratory-plot","status":"publish","type":"page","link":"https:\/\/pcool.dyndns.org\/index.php\/exploratory-plot\/","title":{"rendered":"Exploratory Plot"},"content":{"rendered":"\n<p>Exploratory plots are very useful to initially explore a data frame. Rather than creating a series of individual plots, just create an array of plots that contain plots for the different variables.<\/p>\n\n\n\n<p>For example the data frame &#8216;mtcars&#8217; is part of base R. To show the data frame:<\/p>\n\n\n\n<pre class=\"wp-block-code has-small-font-size\"><code><em><mark style=\"background-color:rgba(0, 0, 0, 0);color:#f50526\" class=\"has-inline-color\">mtcars<\/mark><mark style=\"background-color:rgba(0, 0, 0, 0);color:#3204f5\" class=\"has-inline-color\">\n                     mpg cyl  disp  hp drat    wt  qsec vs am gear carb\nMazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4\nMazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4\nDatsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1\nHornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1\nHornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2\nValiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1\nDuster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4\nMerc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2\nMerc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2\nMerc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4\nMerc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4\nMerc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3\nMerc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3\nMerc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3\nCadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4\nLincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4\nChrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4\nFiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1\nHonda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2\nToyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1\nToyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1\nDodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2\nAMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2\nCamaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4\nPontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2\nFiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1\nPorsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2\nLotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2\nFord Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4\nFerrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6\nMaserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8\nVolvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2<\/mark><\/em><\/code><\/pre>\n\n\n\n<p>To create an exploratory plot:<\/p>\n\n\n\n<p><em><span style=\"color: #ff0000;\">&nbsp;plot(mtcars)<\/span><\/em><\/p>\n\n\n\n<p>This will generate an array of plots for exploratory data analysis:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"751\" src=\"https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars-1024x751.png\" alt=\"\" class=\"wp-image-3285\" srcset=\"https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars-1024x751.png 1024w, https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars-300x220.png 300w, https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars-768x563.png 768w, https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars-1536x1126.png 1536w, https:\/\/pcool.dyndns.org\/wp-content\/uploads\/2025\/06\/mtcars.png 1880w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Exploratory plots are very useful to initially explore a data frame. Rather than creating a series of individual plots, just create an array of plots that contain plots for the different variables. For example the data frame &#8216;mtcars&#8217; is part of base R. To show the data frame: To create an exploratory plot: &nbsp;plot(mtcars) This [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-2004","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/pages\/2004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/comments?post=2004"}],"version-history":[{"count":1,"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/pages\/2004\/revisions"}],"predecessor-version":[{"id":4738,"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/pages\/2004\/revisions\/4738"}],"wp:attachment":[{"href":"https:\/\/pcool.dyndns.org\/index.php\/wp-json\/wp\/v2\/media?parent=2004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}