diff --git a/data-processed/candy_avg.csv b/data-processed/candy_avg.csv
index b33088d3..1be46208 100644
--- a/data-processed/candy_avg.csv
+++ b/data-processed/candy_avg.csv
@@ -1,7 +1,7 @@
 color,avg_candies
-blue,11.5
-brown,6.3
-green,11.5
-orange,10.8
-red,6.4
-yellow,9.4
+blue,11.1
+brown,6.5
+green,11.4
+orange,11.2
+red,6.5
+yellow,9.3
diff --git a/data-raw/candy.csv b/data-raw/candy.csv
index e485a751..c3fbd1ce 100644
--- a/data-raw/candy.csv
+++ b/data-raw/candy.csv
@@ -174,4 +174,39 @@ Timestamp,First name,Last name,Candy type,Box code,Red,Green,Orange,Yellow,Blue,
 2/28/2024 14:10:02,Alishba ,Javaid,Plain,233DRCLV02,5,9,11,12,7,10
 2/29/2024 15:33:10,Emma,Fischer,Peanut,344CBTOP01,3,4,3,6,0,4
 3/4/2024 14:40:39,Morgan,Severson,Plain,233DRCLV02,4,9,17,9,8,10
-4/15/2024 5:08:04,Valerie ,Lopez ,Plain,334GTCLV20,4,17,9,7,12,6
\ No newline at end of file
+4/15/2024 5:08:04,Valerie ,Lopez ,Plain,334GTCLV20,4,17,9,7,12,6
+10/9/2024 13:04:23,Haley,Pacheco,Plain,233DRCLV02,6,9,16,12,6,9
+10/9/2024 13:04:25,Nadely,Requena,Plain,233DRCLV02,4,9,16,10,9,11
+10/9/2024 13:04:27,Juan,Ferro,Plain,233DRCLV02,5,15,13,6,11,6
+10/9/2024 13:04:42,Francesca,Gigliotti,Plain,233DRCLV02,9,15,9,8,12,6
+10/9/2024 13:05:00,Talisa ,Trevino,Plain,233DRCLV02,4,10,18,10,6,8
+10/9/2024 13:05:09,Andred,Calixto,Plain,233DRCLV02,6,12,16,11,5,6
+10/9/2024 13:05:29,London,Keller,Plain,233DRCLV02,5,9,17,11,10,8
+10/9/2024 13:05:35,sandhya,maddali,Plain,233DRCLV02,11,10,7,13,9,7
+10/9/2024 13:05:51,Moctezuma,Perez,Plain,233DRCLV02,8,11,14,10,9,7
+10/9/2024 13:06:33,Ava,Motes,Plain,233DRCLV02,9,9,15,8,13,3
+10/9/2024 13:06:39,Kendall,Washington ,Plain,340FSCLV02,8,12,14,6,12,5
+10/9/2024 13:07:00,Haden,Knobloch,Plain,233DRCLV02,7,7,26,7,6,6
+10/9/2024 13:07:19,Tate,Chapman,Plain,233DRCLV02,3,13,11,15,3,11
+10/9/2024 13:07:20,Abby,Chapman,Plain,233DRCIV02,5,17,17,10,6,3
+10/9/2024 13:07:58,Kiki,Craddock ,Plain,233DRCLV02,6,12,15,6,8,11
+10/9/2024 13:08:04,Isabella,McGovern,Plain,233DRCLV02,5,8,17,14,9,5
+10/9/2024 14:16:55,Jabba,The ahutt,Plain,239DRCLV02,5,9,14,17,9,2
+10/10/2024 15:35:03,Mandira,Ganti,Plain,340FSCLV02,8,13,12,8,7,8
+10/10/2024 15:35:40,Annika,Granados ,Plain,340FSCLV02,6,23,9,5,11,5
+10/10/2024 15:35:42,Santiago,Ortiz,Plain,340FSCLV02,10,12,12,8,10,5
+10/10/2024 15:35:51,Sophie,Pascal,Plain,233DRCLV02,5,11,17,13,4,7
+10/10/2024 15:36:09,Lulia,Pan,Plain,340FSCLV02,8,11,10,8.5,10,9
+10/10/2024 15:36:20,Hasina,Shah,Plain,233DRCLV02,4,11,15,11,9,6
+10/10/2024 15:36:39,Rachel ,Thomas,Plain,1524976SE,10,8,7,7,11,13
+10/10/2024 15:36:39,Robert,Martinez,Plain,340FSCLV02,8,8,10,9,12,10
+10/10/2024 15:36:50,Alistair,Manliguez,Plain,340FSCLV02,7,9,11,6,13,9
+10/10/2024 15:37:09,Vedika,Chati,Plain,340FSCLV02,9,6,16,7,8,9
+10/10/2024 15:37:30,Sophia,Westwood,Plain,340FSCLV02,12,11,13,5,12,8
+10/10/2024 15:37:31,Miranda,Liguez,Plain,233DRCLV02,11,10,12,11,4,9
+10/10/2024 15:37:35,Isabella,Lawson,Plain,340FSCLV02,6,11,10,10,13,10
+10/10/2024 15:39:54,Gabriella,Gonzales,Plain,233DRCLV02,5,6,19,9,11,8
+10/10/2024 15:40:18,Laisa,Manrique,Plain,340FSCLV02,11,11,7,10,11,7
+10/10/2024 15:50:46,amelie,baquero,Plain,239DRCLV02,9,13,11,7,13,9
+10/10/2024 16:39:30,Angelica,Ruzanova,Plain,340FSCLV02,13,10,7,9,9,7
+10/10/2024 17:04:47,Ryan,Hopper,Plain,233DRCLV02,9,8,6,4,6,5
\ No newline at end of file
diff --git a/docs/denied-analysis.html b/docs/denied-analysis.html
index 103d3f22..d9837756 100644
--- a/docs/denied-analysis.html
+++ b/docs/denied-analysis.html
@@ -579,8 +579,8 @@ <h3 data-number="11.4.2" class="anchored" data-anchor-id="make-a-datatable"><spa
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 <p>Now you have tool tips on your points when you hover over them.</p>
diff --git a/docs/search.json b/docs/search.json
index 9bdc4110..85d5d1e7 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -1200,7 +1200,7 @@
     "href": "tidy-data.html#the-candy-project",
     "title": "9  Tidy data",
     "section": "9.4 The candy project",
-    "text": "9.4 The candy project\nLet’s visualize our goal here before we jump into the candy bowl.\nOur first question is this: Are there equal numbers of different-colored candies in a bag of M&M’s?\nTo visually communicate this, we’ll build a chart similar to this one (though this one is about Skittles instead of M&M’s.)\n\n\n\nSkittles example\n\n\nWe’ll build this chart in both ggplot and Datawrapper.\n\n9.4.1 Prepare our candy project\nWe will use candy count data we’ve been collected in Reporting wth Data classes to explore this subject. You’ll need to start a new project for this …\n\nCreate a new project and call it: yourname-candy.\nCreate data-raw and data-processed folders.\nYou can use your index.qmd file … just change the title to “Tidy data: Candy”.\nCreate your setup block and load the tidyverse and janitor.\n\n\n\n9.4.2 Get the data\nWe’ll download our data from a Google Sheet and save it onto our computer.\n\nAdd a Markdown section saying you’ll download the data.\nAdd the chunk below and run it.\n\n\ndownload.file(\"https://docs.google.com/spreadsheets/d/e/2PACX-1vRCGayKLOy-52gKmEoPOj3ZKnOQVtCiooSloiCr-i_ci27e4n1CMPL0Z9s6MeFX9oQuN9E-HCFJnWjD/pub?gid=1456715839&single=true&output=csv\", \"data-raw/candy.csv\", mode = \"wb\")\n\nAfter you’ve run this, you can comment out the line of code so it doesn’t re-download it each time you run the notebook.\n\n\n9.4.3 Import the data\nOK, now we pull the data into our notebook. Nothing new here … we import and clean the names.\n\nAdd a Markdown section noting that you are importing data.\nAdd this import chunk and run it.\n\n\ncandy_raw &lt;- read_csv(\"data-raw/candy.csv\") |&gt; clean_names()\n\n# peek at the data\ncandy_raw\n\n\n  \n\n\n\nThis data comes from a Google Sheets document fed by a form that students have filled out, counting the colors of candies in a standard size bag of plain M&Ms.\n\n\n9.4.4 Drop unneeded columns\nFor this exercise we don’t need the timestamp, candy_type or box_code columns. We’ll drop them so we can keep things simple.\n\nCreate new section noting you’ll drop unneeded columns.\nCreate an R chunk and use select() to remove the columns noted above and save the result into a new data frame called candy. Remember you can negate a list of columns like this: !c(col1, col2).\n\nYou’ve done this in the past, so you should be able to do it on your own.\n\n\nYou got this! (But, just in case …)\ncandy &lt;- candy_raw |&gt; \n  select(!c(timestamp, candy_type, box_code))\n\n\n\n\n9.4.5 Peek at the wide table\nLet’s take look closer at this data:\n\ncandy |&gt; head()\n\n\n  \n\n\n\nThis is pretty well-formed data. This format would be useful to create a “total” column for each bag, but there are better ways to do this with long data. Same with getting our averages for each color.\n\n\n9.4.6 Where are we going with this data\nLet’s look at our plotting goal again:\n\n\n\nSkittle example\n\n\nIn our chart, we want one axis to have the candy color and the other to have the average number of candy.\nTo plot a chart like this in ggplot or Datawrapper, the data needs to be the same shape, like this:\n\n\n\nColor\nAverage\n\n\n\n\nGreen\n10.9\n\n\nOrange\n12.0\n\n\nPurple\n12.4\n\n\nRed\n11.4\n\n\nYellow\n12\n\n\n\nIt will be easier to accomplish both of these tasks if our data were in the long format.\nSo, instead of this:\n\n\n\n\n\n\n\n\n\n\n\n\n\nfirst_name\nlast_name\nred\ngreen\norange\nyellow\nblue\nbrown\n\n\n\n\nChristian\nMcDonald\n2\n17\n11\n4\n16\n4\n\n\n\nWe want this:\n\n\n\nfirst_name\nlast_name\ncolor\ncandies\n\n\n\n\nChristian\nMcDonald\nred\n2\n\n\nChristian\nMcDonald\ngreen\n17\n\n\nChristian\nMcDonald\norange\n11\n\n\nChristian\nMcDonald\nyellow\n4\n\n\nChristian\nMcDonald\nblue\n16\n\n\nChristian\nMcDonald\nbrown\n4",
+    "text": "9.4 The candy project\nLet’s visualize our goal here before we jump into the candy bowl.\nOur first question is this: Are there equal numbers of different-colored candies in a bag of M&M’s?\nTo visually communicate this, we’ll build a chart similar to this one (though this one is about Skittles instead of M&M’s.)\n\n\n\nSkittles example\n\n\nWe’ll build this chart in both ggplot and Datawrapper.\n\n9.4.1 Prepare our candy project\nWe will use candy count data we’ve been collected in Reporting wth Data classes to explore this subject. You’ll need to start a new project for this …\n\nCreate a new project and call it: yourname-candy.\nCreate data-raw and data-processed folders as we normally do.\nYou can use your index.qmd file for this lesson … just change the title to “Tidy data: Candy”.\nCreate your setup block and load the tidyverse and janitor.\n\n\n\n9.4.2 Get the data\nWe’ll download our data from a Google Sheet and save it onto our computer.\n\nAdd a Markdown section saying you’ll download the data.\nAdd the chunk below and run it.\n\n\ndownload.file(\"https://docs.google.com/spreadsheets/d/e/2PACX-1vRCGayKLOy-52gKmEoPOj3ZKnOQVtCiooSloiCr-i_ci27e4n1CMPL0Z9s6MeFX9oQuN9E-HCFJnWjD/pub?gid=1456715839&single=true&output=csv\", \"data-raw/candy.csv\", mode = \"wb\")\n\nAfter you’ve run this, you can comment out the line of code so it doesn’t re-download it each time you run the notebook.\n\n\n9.4.3 Import the data\nOK, now we pull the data into our notebook. Nothing new here … we import and clean the names.\n\nAdd a Markdown section noting that you are importing data.\nAdd this import chunk and run it.\n\n\ncandy_raw &lt;- read_csv(\"data-raw/candy.csv\") |&gt; clean_names()\n\n# peek at the data\ncandy_raw\n\n\n  \n\n\n\nThis data comes from a Google Sheets document fed by a form that students have filled out, counting the colors of candies in a standard size bag of plain M&Ms.\n\n\n9.4.4 Drop unneeded columns\nFor this exercise we don’t need the timestamp, candy_type or box_code columns. We’ll drop them so we can keep things simple.\n\nCreate new section noting you’ll drop unneeded columns.\nCreate an R chunk and use select() to remove the columns noted above and save the result into a new data frame called candy. Remember you can negate a list of columns like this: !c(col1, col2).\n\nYou’ve done this in the past, so you should be able to do it on your own.\n\n\nYou got this! (But, just in case …)\ncandy &lt;- candy_raw |&gt; \n  select(!c(timestamp, candy_type, box_code))\n\n\n\n\n9.4.5 Peek at the wide table\nLet’s take look closer at this data:\n\ncandy |&gt; head()\n\n\n  \n\n\n\nThis is pretty well-formed data. This format would be useful to create a “total” column for each bag, but there are better ways to do this with long data. Same with getting our averages for each color.\n\n\n9.4.6 Where are we going with this data\nLet’s look at our plotting goal again:\n\n\n\nSkittle example\n\n\nIn our chart, we want one axis to have the candy color and the other to have the average number of candy.\nTo plot a chart like this in ggplot or Datawrapper, the data needs to be the same shape, like this:\n\n\n\nColor\nAverage\n\n\n\n\nGreen\n10.9\n\n\nOrange\n12.0\n\n\nPurple\n12.4\n\n\nRed\n11.4\n\n\nYellow\n12\n\n\n\nIt will be easier to accomplish both of these tasks if our data were in the long format.\nSo, instead of this:\n\n\n\n\n\n\n\n\n\n\n\n\n\nfirst_name\nlast_name\nred\ngreen\norange\nyellow\nblue\nbrown\n\n\n\n\nChristian\nMcDonald\n2\n17\n11\n4\n16\n4\n\n\n\nWe want this:\n\n\n\nfirst_name\nlast_name\ncolor\ncandies\n\n\n\n\nChristian\nMcDonald\nred\n2\n\n\nChristian\nMcDonald\ngreen\n17\n\n\nChristian\nMcDonald\norange\n11\n\n\nChristian\nMcDonald\nyellow\n4\n\n\nChristian\nMcDonald\nblue\n16\n\n\nChristian\nMcDonald\nbrown\n4",
     "crumbs": [
       "Visualization",
       "<span class='chapter-number'>9</span>  <span class='chapter-title'>Tidy data</span>"
diff --git a/docs/tidy-data.html b/docs/tidy-data.html
index 47bd34f7..391d306c 100644
--- a/docs/tidy-data.html
+++ b/docs/tidy-data.html
@@ -500,8 +500,8 @@ <h3 data-number="9.4.1" class="anchored" data-anchor-id="prepare-our-candy-proje
 <p>We will use candy count data we’ve been collected in Reporting wth Data classes to explore this subject. You’ll need to start a new project for this …</p>
 <ol type="1">
 <li>Create a new project and call it: <code>yourname-candy</code>.</li>
-<li>Create data-raw and <code>data-processed</code> folders.</li>
-<li>You can use your <code>index.qmd</code> file … just change the title to “Tidy data: Candy”.</li>
+<li>Create <code>data-raw</code> and <code>data-processed</code> folders as we normally do.</li>
+<li>You can use your <code>index.qmd</code> file for this lesson … just change the title to “Tidy data: Candy”.</li>
 <li>Create your setup block and load the <code>tidyverse</code> and <code>janitor</code>.</li>
 </ol>
 </section>
@@ -532,7 +532,7 @@ <h3 data-number="9.4.3" class="anchored" data-anchor-id="import-the-data"><span
 <div class="cell-output-display">
 <div data-pagedtable="false">
   <script data-pagedtable-source="" type="application/json">
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@@ -1055,7 +1055,7 @@ <h3 data-number="9.8.2" class="anchored" data-anchor-id="choosing-what-to-flip">
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diff --git a/docs/tidy-data_files/figure-html/avg-plot-1.png b/docs/tidy-data_files/figure-html/avg-plot-1.png
index cfa1ff42..04589e7a 100644
Binary files a/docs/tidy-data_files/figure-html/avg-plot-1.png and b/docs/tidy-data_files/figure-html/avg-plot-1.png differ
diff --git a/tidy-data.qmd b/tidy-data.qmd
index 832c2235..dd6ec9a5 100644
--- a/tidy-data.qmd
+++ b/tidy-data.qmd
@@ -70,8 +70,8 @@ We'll build this chart in both ggplot and Datawrapper.
 We will use candy count data we've been collected in Reporting wth Data classes to explore this subject. You'll need to start a new project for this ...
 
 1.  Create a new project and call it: `yourname-candy`.
-2.  Create data-raw and `data-processed` folders.
-3.  You can use your `index.qmd` file ... just change the title to "Tidy data: Candy".
+2.  Create `data-raw` and `data-processed` folders as we normally do.
+3.  You can use your `index.qmd` file for this lesson ... just change the title to "Tidy data: Candy".
 4.  Create your setup block and load the `tidyverse` and `janitor`.
 
 ```{r setup}