title: Scientific notation problems with grouped intervals
body: <p>I'm trying to group intervals of prices in $100,000 groups from a sample housing sale data set. I can't figure out how to eliminate the scientific notation on the groupings, and I've already tried <code>options(scipen = 999)</code> with no success.</p>
  <p>Packages I have loaded are:</p>
  <ol>
  <li>tidyverse</li>
  <li>santoku</li>
  <li>janitor</li>
  </ol>
  <p>Is there something in the santoku package or elsewhere that can make the intervals display, at least, as full numbers. Even better...display formatted as US currency?</p>
  <p>Here's the code I'm using:</p>
  <pre><code>NH_12mo %&gt;%  
    mutate(price_groups = chop(priceSold, seq(0, 2100000, by = 100000),
                               labels = lbl_dash(&quot;-&quot;))) %&gt;% 
    group_by(price_groups) %&gt;% 
    summarize(n = n()) %&gt;% 
    adorn_totals(&quot;row&quot;)
  </code></pre>
  <p>Here's the console output resulting from the above code:</p>
  <pre><code>price_groups   n
       1e+05-2e+05   6
       2e+05-3e+05   8
       3e+05-4e+05  24
       4e+05-5e+05  44
       5e+05-6e+05  58
       6e+05-7e+05  40
       7e+05-8e+05  32
       8e+05-9e+05  30
       9e+05-1e+06  13
     1e+06-1.1e+06   8
   1.1e+06-1.2e+06   5
   1.2e+06-1.3e+06   4
   1.3e+06-1.4e+06   5
   1.4e+06-1.5e+06   2
   1.5e+06-1.6e+06   3
     1.9e+06-2e+06   1
     2e+06-2.1e+06   1
             Total 284
  </code></pre>
  <p><code>dput()</code> output is below for a reproducible example:</p>
  <pre><code>structure(list(priceSold = c(100000, 104000, 124900, 180000, 
  190000, 190000, 210000, 210000, 225000, 239000, 260000, 270000, 
  270000, 272000, 300000, 305000, 320000, 322000, 325000, 325000, 
  330000, 339000, 340000, 340000, 350000, 355000, 355000, 362250, 
  365000, 375000, 375000, 375000, 377000, 380000, 393000, 396000, 
  399900, 399900, 400000, 400000, 405000, 415000, 415000, 420000, 
  420000, 420000, 423000, 425000, 425000, 425000, 425000, 426000, 
  429000, 430000, 430000, 435000, 439000, 439000, 440000, 440000, 
  440000, 440000, 445000, 449900, 450000, 450000, 450000, 460000, 
  460000, 462500, 470000, 477500, 480000, 480000, 480000, 484450, 
  485000, 485000, 485000, 486000, 497777, 499950, 500000, 500000, 
  500000, 500000, 502000, 504750, 505000, 510000, 510000, 510000, 
  510000, 510000, 510000, 515000, 519900, 520000, 525000, 525000, 
  525000, 525000, 525000, 525000, 528000, 529300, 530000, 540000, 
  544500, 545000, 548303, 550000, 550000, 550000, 550000, 550000, 
  552000, 555000, 559000, 560000, 560000, 565000, 566500, 570000, 
  574000, 575000, 575000, 575000, 575000, 575000, 579000, 580000, 
  580000, 585000, 585000, 585000, 585000, 585000, 585000, 592000, 
  600000, 600000, 604000, 605000, 615000, 616000, 625000, 625000, 
  625000, 625000, 630000, 630000, 636000, 640000, 640000, 640000, 
  644000, 649250, 650000, 650000, 650000, 654600, 655000, 660000, 
  660000, 660000, 665000, 665000, 670000, 675000, 675000, 675000, 
  675000, 679000, 679900, 680000, 682000, 687500, 690000, 695000, 
  700000, 700000, 702000, 712500, 720000, 720000, 725000, 735000, 
  740000, 750000, 750000, 750000, 750000, 750000, 754565, 755000, 
  755000, 765000, 770000, 775000, 775000, 775000, 775000, 780000, 
  780000, 790000, 790000, 790000, 793000, 799500, 799900, 799900, 
  800000, 800000, 800000, 801000, 810500, 820000, 825000, 825000, 
  825000, 830000, 833000, 835000, 835000, 835000, 850000, 850000, 
  850000, 850000, 850000, 865000, 865000, 874500, 875000, 875000, 
  880000, 884500, 885000, 885000, 890000, 898000, 900000, 900000, 
  913500, 925000, 949000, 950000, 955000, 980000, 990000, 995000, 
  999000, 999000, 999999, 1000000, 1000000, 1000000, 1020000, 1023000, 
  1030000, 1051000, 1075000, 1100000, 1100000, 1100000, 1125000, 
  1180000, 1200000, 1200000, 1210000, 1290000, 1300000, 1300000, 
  1315000, 1325000, 1350000, 1425000, 1450000, 1500000, 1533400, 
  1560000, 1993500, 2050000)), row.names = c(NA, -284L), class = c(&quot;tbl_df&quot;, 
  &quot;tbl&quot;, &quot;data.frame&quot;))
  </code></pre>