diff --git a/StudentNotebooks/Assignment02/dar-f24-assignment2-template.Rmd b/StudentNotebooks/Assignment02/dar-f24-assignment2-template.Rmd
index bdf8f9c..3a06ea3 100755
--- a/StudentNotebooks/Assignment02/dar-f24-assignment2-template.Rmd
+++ b/StudentNotebooks/Assignment02/dar-f24-assignment2-template.Rmd
@@ -62,16 +62,18 @@ This notebook is broken into two main parts:
 * **Part 2:** Loading and some analysis of the Mars 2020 (M20) Datasets
    * Lithology: _Summarizes the mineral characteristics of samples collected at certain sample locations._
    * PIXL: Planetary Instrument for X-ray Lithochemistry. _Measures elemental chemistry of samples at sub-millimeter scales of samples._
-      * SHERLOC: Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals. _Uses cameras, a spectrometer, and a laser of samples to search for organic compounds and minerals that have been altered in watery environments and may be signs of past microbial life._
+   * SHERLOC: Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals. _Uses cameras, a spectrometer, and a laser of samples to search for organic compounds and minerals that have been altered in watery environments and may be signs of past microbial life._
    * LIBS: Laser-induced breakdown spectroscopy. _Uses a laser beam to help identify minerals in samples and other areas that are beyond the reach of the rover's robotic arm or in areas too steep for the rover to travel._
 
 * **Part 3:** Individual analysis of your team's dataset
 
+* **Part 4:** Preparation of Team Presentation 
+
+
 **NOTE:** The RPI github repository for all the code and data required for this notebook may be found at:
 
 * https://github.rpi.edu/DataINCITE/DAR-Mars-F24
 
-* **Part 4:** Preparation of Team Presentation 
 
 # DAR ASSIGNMENT 2 (Part 1): Preparing your local repo for Assignment 2 
 
@@ -156,8 +158,7 @@ NOTES:
    * Also included is `rover.waypoints.Rds` that provides detailed location information (lat/lon) for the Perseverance rover throughout its journey, up to the present. This can be updated when necessary using the included `roverStatus-f24.R` script. 
    * A general guide to the available Mars 2020 data is available here: https://pds-geosciences.wustl.edu/missions/mars2020/index.htm
    * Other useful MARS 2020 sites
-   https://science.nasa.gov/mission/mars-2020-perseverance/mars-rock-samples/
-   https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1
+   https://science.nasa.gov/mission/mars-2020-perseverance/mars-rock-samples/ and https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1
    * Note that PIXL, SHERLOC, and Lithology describe 16  sample that were physically collected. There will eventually be 38 samples.   These datasets can be merged by sample.   The LIBS data includes observations collected at many more locations so how to combine the LIBS data with the other datasets is an open research question.   
 
 ## Data Set A: Load the Lithology Data
@@ -178,7 +179,8 @@ lithology.df<- readRDS("/academics/MATP-4910-F24/DAR-Mars-F24/Data/mineral_data_
 lithology.df$sample <- as.numeric(lithology.df$sample)
 
 # Convert rest into factors
-lithology.df[sapply(lithology.df, is.character)] <- lapply(lithology.df[sapply(lithology.df, is.character)], 
+lithology.df[sapply(lithology.df, is.character)] <-
+  lapply(lithology.df[sapply(lithology.df, is.character)], 
                                        as.factor)
 
 # Keep only first 16 samples because the data for the rest of the samples is not available yet
@@ -240,7 +242,7 @@ summary(libs.df)
 libs.matrix <- as.matrix(libs.df[,6:13]) 
 
 # Check to see scaling
-summary(libs.matrix)
+str(libs.matrix)
 ```
 
 
@@ -284,7 +286,7 @@ sherloc.df <- cbind(pixl.df[,c("sample","type","campaign","abrasion")],sherloc.m
 summary(sherloc.df)
 
 # Measurements are everything except first column
-sherloc.matrix<-sherloc.matrix[,-1]
+sherloc.matrix<-as.matrix(sherloc.matrix[,-1])
 
 # Sherlock measurement matrix
 # Review the structure 
@@ -367,7 +369,7 @@ str(sherloc_lithology_pixl.matrix)
 
 Each team has been assigned one of six datasets:   
 
-1. Dataset B: PIXL: The PIXL team's goal is to understand and explain how scaling improves results from Assignment 1.   The matrix version was scaled above.  
+1. Dataset B: PIXL: The PIXL team's goal is to understand and explain how scaling changes results from Assignment 1.   The matrix version was scaled above but not in Assignment 1.  
 
 2. Dataset C: LIBS (with appropriate scaling as necessary. Not scaled yet.) 
 
@@ -385,11 +387,11 @@ Each team has been assigned one of six datasets:
 
 1. _Describe the data set contained in the data frame and matrix:_ How many rows does it have and how many features?  Which features are measurements and which features are metadata about the samples?  (3 pts)
 
-2. _Scale this data appropriately (you can choose the scaling method):_ Explain why you chose that scaling method. (3 pts) 
+2. _Scale this data appropriately (you can choose the scaling method or decide to not scale data):_ Explain why you chose  a scaling method or to not scale. (3 pts) 
 
 3. _Cluster the data using k-means or your favorite clustering method (like hierarchical clustering):_   Describe how you picked the best number of clusters.  Indicate the number of points in each clusters. Coordinate with your team so you try different approaches.   If you want to share results with your team mates, make sure to use the same random seeds.  (6 pts)
 
-4. _Perform a **creative analysis** that provides insights into what one or more of the clusters are and what they tell you about the MARS data:_ 
+4. _Perform a **creative analysis** that provides insights into what one or more of the clusters are and what they tell you about the MARS data:  Alternatively do another creative analysis of your datasets that leads to one of more findings.  Make sure to explain what your analysis and discuss your the results.  
 
 
 # Preparation of Team Presentation (Part 4) 
diff --git a/StudentNotebooks/Assignment02/dar-f24-assignment2-template.html b/StudentNotebooks/Assignment02/dar-f24-assignment2-template.html
index b1022eb..b42d711 100644
--- a/StudentNotebooks/Assignment02/dar-f24-assignment2-template.html
+++ b/StudentNotebooks/Assignment02/dar-f24-assignment2-template.html
@@ -11,7 +11,7 @@
 
 <meta name="author" content="Your Name Here" />
 
-<meta name="date" content="2024-08-29" />
+<meta name="date" content="2024-09-03" />
 
 <title>Mars 2020 Mission Data Notebook:</title>
 
@@ -1624,7 +1624,7 @@
 <h1 class="title toc-ignore">Mars 2020 Mission Data Notebook:</h1>
 <h3 class="subtitle">DAR Assignment 2 (Fall 2024)</h3>
 <h4 class="author">Your Name Here</h4>
-<h4 class="date">29 August 2024</h4>
+<h4 class="date">03 September 2024</h4>
 
 </div>
 
@@ -1680,36 +1680,35 @@ <h1><span class="header-section-number">1</span> DAR ASSIGNMENT 2
 (Introduction): Introductory DAR Notebook</h1>
 <p>This notebook is broken into two main parts:</p>
 <ul>
-<li><strong>Part 1:</strong> Preparing your local repo for <strong>DAR
-Assignment 2</strong></li>
-<li><strong>Part 2:</strong> Loading and some analysis of the Mars 2020
-(M20) Datasets
+<li><p><strong>Part 1:</strong> Preparing your local repo for
+<strong>DAR Assignment 2</strong></p></li>
+<li><p><strong>Part 2:</strong> Loading and some analysis of the Mars
+2020 (M20) Datasets</p>
 <ul>
 <li>Lithology: <em>Summarizes the mineral characteristics of samples
 collected at certain sample locations.</em></li>
 <li>PIXL: Planetary Instrument for X-ray Lithochemistry. <em>Measures
-elemental chemistry of samples at sub-millimeter scales of samples.</em>
-<ul>
+elemental chemistry of samples at sub-millimeter scales of
+samples.</em></li>
 <li>SHERLOC: Scanning Habitable Environments with Raman and Luminescence
 for Organics and Chemicals. <em>Uses cameras, a spectrometer, and a
 laser of samples to search for organic compounds and minerals that have
 been altered in watery environments and may be signs of past microbial
 life.</em></li>
-</ul></li>
 <li>LIBS: Laser-induced breakdown spectroscopy. <em>Uses a laser beam to
 help identify minerals in samples and other areas that are beyond the
 reach of the rover’s robotic arm or in areas too steep for the rover to
 travel.</em></li>
 </ul></li>
-<li><strong>Part 3:</strong> Individual analysis of your team’s
-dataset</li>
+<li><p><strong>Part 3:</strong> Individual analysis of your team’s
+dataset</p></li>
+<li><p><strong>Part 4:</strong> Preparation of Team
+Presentation</p></li>
 </ul>
 <p><strong>NOTE:</strong> The RPI github repository for all the code and
 data required for this notebook may be found at:</p>
 <ul>
-<li><p><a href="https://github.rpi.edu/DataINCITE/DAR-Mars-F24" class="uri">https://github.rpi.edu/DataINCITE/DAR-Mars-F24</a></p></li>
-<li><p><strong>Part 4:</strong> Preparation of Team
-Presentation</p></li>
+<li><a href="https://github.rpi.edu/DataINCITE/DAR-Mars-F24" class="uri">https://github.rpi.edu/DataINCITE/DAR-Mars-F24</a></li>
 </ul>
 </div>
 <div id="dar-assignment-2-part-1-preparing-your-local-repo-for-assignment-2" class="section level1" number="2">
@@ -1880,7 +1879,7 @@ <h1><span class="header-section-number">3</span> DAR ASSIGNMENT 2 (Part
 <li>A general guide to the available Mars 2020 data is available here:
 <a href="https://pds-geosciences.wustl.edu/missions/mars2020/index.htm" class="uri">https://pds-geosciences.wustl.edu/missions/mars2020/index.htm</a></li>
 <li>Other useful MARS 2020 sites <a href="https://science.nasa.gov/mission/mars-2020-perseverance/mars-rock-samples/" class="uri">https://science.nasa.gov/mission/mars-2020-perseverance/mars-rock-samples/</a>
-<a href="https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1" class="uri">https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1</a></li>
+and <a href="https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1" class="uri">https://an.rsl.wustl.edu/m20/AN/an3.aspx?AspxAutoDetectCookieSupport=1</a></li>
 <li>Note that PIXL, SHERLOC, and Lithology describe 16 sample that were
 physically collected. There will eventually be 38 samples. These
 datasets can be merged by sample. The LIBS data includes observations
@@ -1908,7 +1907,8 @@ <h2><span class="header-section-number">3.1</span> Data Set A: Load the
 lithology.df$sample &lt;- as.numeric(lithology.df$sample)
 
 # Convert rest into factors
-lithology.df[sapply(lithology.df, is.character)] &lt;- lapply(lithology.df[sapply(lithology.df, is.character)], 
+lithology.df[sapply(lithology.df, is.character)] &lt;-
+  lapply(lithology.df[sapply(lithology.df, is.character)], 
                                        as.factor)
 
 # Keep only first 16 samples because the data for the rest of the samples is not available yet
@@ -2111,21 +2111,11 @@ <h2><span class="header-section-number">3.3</span> Data Set C: Load the
 libs.matrix &lt;- as.matrix(libs.df[,6:13]) 
 
 # Check to see scaling
-summary(libs.matrix)</code></pre>
-<pre><code>##       SiO2            TiO2            Al2O3             FeOT      
-##  Min.   : 0.00   Min.   :0.0000   Min.   : 0.000   Min.   : 0.29  
-##  1st Qu.:42.04   1st Qu.:0.0300   1st Qu.: 3.080   1st Qu.:13.27  
-##  Median :45.80   Median :0.3200   Median : 4.925   Median :20.21  
-##  Mean   :43.47   Mean   :0.3719   Mean   : 6.246   Mean   :20.07  
-##  3rd Qu.:49.23   3rd Qu.:0.6400   3rd Qu.: 8.533   3rd Qu.:25.45  
-##  Max.   :76.12   Max.   :2.4000   Max.   :38.350   Max.   :82.68  
-##       MgO             CaO              Na2O             K2O         
-##  Min.   : 0.29   Min.   : 0.080   Min.   :0.0000   Min.   : 0.0000  
-##  1st Qu.: 5.72   1st Qu.: 1.830   1st Qu.:0.9775   1st Qu.: 0.0000  
-##  Median :12.78   Median : 3.625   Median :1.5200   Median : 0.3000  
-##  Mean   :16.47   Mean   : 4.726   Mean   :1.7600   Mean   : 0.5909  
-##  3rd Qu.:27.83   3rd Qu.: 4.622   3rd Qu.:2.4000   3rd Qu.: 0.7800  
-##  Max.   :45.21   Max.   :52.130   Max.   :7.5200   Max.   :34.8700</code></pre>
+str(libs.matrix)</code></pre>
+<pre><code>##  num [1:1932, 1:8] 49.7 55.8 61.2 51 48 ...
+##  - attr(*, &quot;dimnames&quot;)=List of 2
+##   ..$ : NULL
+##   ..$ : chr [1:8] &quot;SiO2&quot; &quot;TiO2&quot; &quot;Al2O3&quot; &quot;FeOT&quot; ...</code></pre>
 </div>
 <div id="dataset-d-load-the-sherloc-data" class="section level2" number="3.4">
 <h2><span class="header-section-number">3.4</span> Dataset D: Load the
@@ -2254,47 +2244,15 @@ <h2><span class="header-section-number">3.4</span> Dataset D: Load the
 ##  Max.   :1.0000      Max.   :0.5000  
 ## </code></pre>
 <pre class="r"><code># Measurements are everything except first column
-sherloc.matrix&lt;-sherloc.matrix[,-1]
+sherloc.matrix&lt;-as.matrix(sherloc.matrix[,-1])
 
 # Sherlock measurement matrix
 # Review the structure 
 str(sherloc.matrix)</code></pre>
-<pre><code>## tibble [16 × 35] (S3: tbl_df/tbl/data.frame)
-##  $ Plagioclase                : num [1:16] 1 1 1 0 0 0 0 0 0 0 ...
-##  $ Sulfate                    : num [1:16] 1 1 1 1 1 1 1 0 0 0 ...
-##  $ Ca-sulfate                 : num [1:16] 1 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated Ca-sulfate        : num [1:16] 0 1 1 0 0 0 0 0 0 0 ...
-##  $ Mg-sulfate                 : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Hydrated Sulfates          : num [1:16] 0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated Mg-Fe sulfate     : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Perchlorates               : num [1:16] 1 0 0 0 0 0 0 0 0 0 ...
-##  $ Na-perchlorate             : num [1:16] 0.5 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous Silicate         : num [1:16] 0.25 0.25 0.25 0.5 0.5 0.25 0.25 0 0 0 ...
-##  $ Phosphate                  : num [1:16] 0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Pyroxene                   : num [1:16] 1 1 1 1 1 1 1 1 1 1 ...
-##  $ Olivine                    : num [1:16] 0 0 0 1 1 1 1 0.25 0.25 1 ...
-##  $ Carbonate                  : num [1:16] 0 1 1 1 1 1 1 0.5 0.5 1 ...
-##  $ Fe-Mg carbonate            : num [1:16] 0 0 0 0 0 0 0 0 0 1 ...
-##  $ Hydrated Carbonates        : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered Silicates       : num [1:16] 0 0 0 0 0 0 0 1 1 0 ...
-##  $ Feldspar                   : num [1:16] 0 0 0 0 0 0 0 1 1 0 ...
-##  $ Quartz                     : num [1:16] 0 0 0 0 0 0 0 0.25 0.25 0 ...
-##  $ Apatite                    : num [1:16] 0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi oxides                : num [1:16] 0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Halite                     : num [1:16] 0.25 0 0 0 0 0 0 0 0 0.25 ...
-##  $ Iron oxide                 : num [1:16] 1 1 1 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Hydrated Iron oxide        : num [1:16] 0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ Organic matter             : num [1:16] 0 0 0 1 1 1 1 1 1 0 ...
-##  $ Sulfate+Organic matter     : num [1:16] 0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other hydrated phases      : num [1:16] 0 0 0 1 1 1 1 0.5 0.5 1 ...
-##  $ Phyllosilicates            : num [1:16] 0 0 0 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Chlorite                   : num [1:16] 0 0 0 0 0 0 0 0.5 0.5 0 ...
-##  $ Kaolinite (hydrous Al-clay): num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe-Mg-clay minerals        : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num [1:16] 0 0 0 0 0 0 0 0 0 0 ...</code></pre>
+<pre><code>##  num [1:16, 1:35] 1 1 1 0 0 0 0 0 0 0 ...
+##  - attr(*, &quot;dimnames&quot;)=List of 2
+##   ..$ : NULL
+##   ..$ : chr [1:35] &quot;Plagioclase&quot; &quot;Sulfate&quot; &quot;Ca-sulfate&quot; &quot;Hydrated Ca-sulfate&quot; ...</code></pre>
 </div>
 <div id="data-set-e-pixl-sherloc" class="section level2" number="3.5">
 <h2><span class="header-section-number">3.5</span> Data Set E: PIXL +
@@ -2429,55 +2387,10 @@ <h2><span class="header-section-number">3.5</span> Data Set E: PIXL +
 
 # Review the structure of our matrix
 str(pixl_sherloc.matrix)</code></pre>
-<pre><code>## &#39;data.frame&#39;:    16 obs. of  48 variables:
-##  $ Na20                       : num  1.928 1.338 -0.498 -0.538 1.225 ...
-##  $ Mgo                        : num  -1.14 -1.19 0.95 0.14 -1.38 ...
-##  $ Al203                      : num  0.663 0.506 -0.707 -0.723 1.741 ...
-##  $ Si02                       : num  -0.0239 0.4749 0.0786 0.1584 1.682 ...
-##  $ P205                       : num  1.439 3.039 -0.247 -0.535 0.272 ...
-##  $ S03                        : num  -0.384 -0.314 -0.639 -0.521 -0.609 ...
-##  $ Cl                         : num  1.194 -0.281 -0.912 -0.696 0.18 ...
-##  $ K20                        : num  0.24 0.678 -0.565 -0.537 1.864 ...
-##  $ Cao                        : num  2.101 2.023 -0.385 -0.385 0.32 ...
-##  $ Ti02                       : num  1.189 3.053 -0.821 0.312 -0.419 ...
-##  $ Cr203                      : num  -0.53 -0.563 -0.155 -0.106 -0.579 ...
-##  $ Mno                        : num  0.442 0.329 1.731 1.115 -0.568 ...
-##  $ FeO-T                      : num  -0.46 0.301 1.451 0.717 -1.385 ...
-##  $ Plagioclase                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Sulfate                    : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Ca-sulfate                 : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated Ca-sulfate        : num  0 1 1 0 0 0 0 0 0 0 ...
-##  $ Mg-sulfate                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Hydrated Sulfates          : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated Mg-Fe sulfate     : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Perchlorates               : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Na-perchlorate             : num  0.5 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous Silicate         : num  0.25 0.25 0.25 0.5 0.5 0.25 0.25 0 0 0 ...
-##  $ Phosphate                  : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Pyroxene                   : num  1 1 1 1 1 1 1 1 1 1 ...
-##  $ Olivine                    : num  0 0 0 1 1 1 1 0.25 0.25 1 ...
-##  $ Carbonate                  : num  0 1 1 1 1 1 1 0.5 0.5 1 ...
-##  $ Fe-Mg carbonate            : num  0 0 0 0 0 0 0 0 0 1 ...
-##  $ Hydrated Carbonates        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered Silicates       : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Feldspar                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Quartz                     : num  0 0 0 0 0 0 0 0.25 0.25 0 ...
-##  $ Apatite                    : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi oxides                : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Halite                     : num  0.25 0 0 0 0 0 0 0 0 0.25 ...
-##  $ Iron oxide                 : num  1 1 1 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Hydrated Iron oxide        : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ Organic matter             : num  0 0 0 1 1 1 1 1 1 0 ...
-##  $ Sulfate+Organic matter     : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other hydrated phases      : num  0 0 0 1 1 1 1 0.5 0.5 1 ...
-##  $ Phyllosilicates            : num  0 0 0 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Chlorite                   : num  0 0 0 0 0 0 0 0.5 0.5 0 ...
-##  $ Kaolinite (hydrous Al-clay): num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe-Mg-clay minerals        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num  0 0 0 0 0 0 0 0 0 0 ...</code></pre>
+<pre><code>##  num [1:16, 1:48] 1.928 1.338 -0.498 -0.538 1.225 ...
+##  - attr(*, &quot;dimnames&quot;)=List of 2
+##   ..$ : NULL
+##   ..$ : chr [1:48] &quot;Na20&quot; &quot;Mgo&quot; &quot;Al203&quot; &quot;Si02&quot; ...</code></pre>
 </div>
 <div id="data-set-f-pixl-lithography" class="section level2" number="3.6">
 <h2><span class="header-section-number">3.6</span> Data Set F: PIXL +
@@ -2769,77 +2682,10 @@ <h2><span class="header-section-number">3.7</span> Data Set G: Sherloc +
 
 # Review the resulting matrix
 str(sherloc_lithology.matrix)</code></pre>
-<pre><code>## &#39;data.frame&#39;:    16 obs. of  70 variables:
-##  $ Plagioclase                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Sulfate                    : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Ca-sulfate                 : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated Ca-sulfate        : num  0 1 1 0 0 0 0 0 0 0 ...
-##  $ Mg-sulfate                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Hydrated Sulfates          : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated Mg-Fe sulfate     : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Perchlorates               : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Na-perchlorate             : num  0.5 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous Silicate         : num  0.25 0.25 0.25 0.5 0.5 0.25 0.25 0 0 0 ...
-##  $ Phosphate                  : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Pyroxene                   : num  1 1 1 1 1 1 1 1 1 1 ...
-##  $ Olivine                    : num  0 0 0 1 1 1 1 0.25 0.25 1 ...
-##  $ Carbonate                  : num  0 1 1 1 1 1 1 0.5 0.5 1 ...
-##  $ Fe-Mg carbonate            : num  0 0 0 0 0 0 0 0 0 1 ...
-##  $ Hydrated Carbonates        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered Silicates       : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Feldspar                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Quartz                     : num  0 0 0 0 0 0 0 0.25 0.25 0 ...
-##  $ Apatite                    : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi oxides                : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Halite                     : num  0.25 0 0 0 0 0 0 0 0 0.25 ...
-##  $ Iron oxide                 : num  1 1 1 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Hydrated Iron oxide        : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ Organic matter             : num  0 0 0 1 1 1 1 1 1 0 ...
-##  $ Sulfate+Organic matter     : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other hydrated phases      : num  0 0 0 1 1 1 1 0.5 0.5 1 ...
-##  $ Phyllosilicates            : num  0 0 0 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Chlorite                   : num  0 0 0 0 0 0 0 0.5 0.5 0 ...
-##  $ Kaolinite (hydrous Al-clay): num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe-Mg-clay minerals        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ feldspar                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ plagioclase                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ pyroxene                   : num  1 1 1 1 1 1 1 1 1 1 ...
-##  $ olivine                    : num  0 0 0 1 1 1 1 1 1 1 ...
-##  $ quartz                     : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ apatite                    : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi_Oxides                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Iron_Oxide                 : num  1 1 1 0 0 0 0 1 1 1 ...
-##  $ Sulfate                    : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Perchlorates               : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Phosphate                  : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Ca_Sulfate                 : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Carbonate                  : num  0 1 1 1 1 1 1 1 1 1 ...
-##  $ Fe_Mg_clay                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe_Mg_carbonate            : num  0 0 0 0 0 0 0 0 0 1 ...
-##  $ Mg_sulfate                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Phyllosilicates            : num  0 0 0 0 0 0 0 1 1 1 ...
-##  $ Chlorite                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Halite                     : num  1 0 0 0 0 0 0 0 0 1 ...
-##  $ Organic_matter             : num  0 0 0 1 1 1 1 1 1 0 ...
-##  $ Hydrated_Ca_Sulfate        : num  0 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated_Sulfates          : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated_Mg_Fe_Sulfate     : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Na_Perchlorate             : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous_Silicate         : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Hydrated_Carbonates        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered_Silicates       : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Hydrated_Iron_Oxide        : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Sulfate+Organic_Matter     : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other_hydrated_phases      : num  0 0 0 1 1 1 1 1 1 1 ...
-##  $ Kaolinite                  : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num  0 0 0 0 0 0 0 0 0 0 ...</code></pre>
+<pre><code>##  num [1:16, 1:70] 1 1 1 0 0 0 0 0 0 0 ...
+##  - attr(*, &quot;dimnames&quot;)=List of 2
+##   ..$ : NULL
+##   ..$ : chr [1:70] &quot;Plagioclase&quot; &quot;Sulfate&quot; &quot;Ca-sulfate&quot; &quot;Hydrated Ca-sulfate&quot; ...</code></pre>
 </div>
 <div id="data-set-h-sherloc-lithology-pixl" class="section level2" number="3.8">
 <h2><span class="header-section-number">3.8</span> Data Set H: Sherloc +
@@ -3040,90 +2886,10 @@ <h2><span class="header-section-number">3.8</span> Data Set H: Sherloc +
 
 # Review the resulting matrix
 str(sherloc_lithology_pixl.matrix)</code></pre>
-<pre><code>## &#39;data.frame&#39;:    16 obs. of  83 variables:
-##  $ Plagioclase                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Sulfate                    : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Ca-sulfate                 : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated Ca-sulfate        : num  0 1 1 0 0 0 0 0 0 0 ...
-##  $ Mg-sulfate                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Hydrated Sulfates          : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated Mg-Fe sulfate     : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Perchlorates               : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Na-perchlorate             : num  0.5 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous Silicate         : num  0.25 0.25 0.25 0.5 0.5 0.25 0.25 0 0 0 ...
-##  $ Phosphate                  : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Pyroxene                   : num  1 1 1 1 1 1 1 1 1 1 ...
-##  $ Olivine                    : num  0 0 0 1 1 1 1 0.25 0.25 1 ...
-##  $ Carbonate                  : num  0 1 1 1 1 1 1 0.5 0.5 1 ...
-##  $ Fe-Mg carbonate            : num  0 0 0 0 0 0 0 0 0 1 ...
-##  $ Hydrated Carbonates        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered Silicates       : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Feldspar                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Quartz                     : num  0 0 0 0 0 0 0 0.25 0.25 0 ...
-##  $ Apatite                    : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi oxides                : num  0.25 1 1 0 0 0 0 0 0 0 ...
-##  $ Halite                     : num  0.25 0 0 0 0 0 0 0 0 0.25 ...
-##  $ Iron oxide                 : num  1 1 1 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Hydrated Iron oxide        : num  0.25 0 0 0 0 0 0 0 0 0 ...
-##  $ Organic matter             : num  0 0 0 1 1 1 1 1 1 0 ...
-##  $ Sulfate+Organic matter     : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other hydrated phases      : num  0 0 0 1 1 1 1 0.5 0.5 1 ...
-##  $ Phyllosilicates            : num  0 0 0 0 0 0 0 0.5 0.5 0.25 ...
-##  $ Chlorite                   : num  0 0 0 0 0 0 0 0.5 0.5 0 ...
-##  $ Kaolinite (hydrous Al-clay): num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe-Mg-clay minerals        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ feldspar                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ plagioclase                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ pyroxene                   : num  1 1 1 1 1 1 1 1 1 1 ...
-##  $ olivine                    : num  0 0 0 1 1 1 1 1 1 1 ...
-##  $ quartz                     : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ apatite                    : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ FeTi_Oxides                : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Iron_Oxide                 : num  1 1 1 0 0 0 0 1 1 1 ...
-##  $ Sulfate                    : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Perchlorates               : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Phosphate                  : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Ca_Sulfate                 : num  1 1 1 0 0 0 0 0 0 0 ...
-##  $ Carbonate                  : num  0 1 1 1 1 1 1 1 1 1 ...
-##  $ Fe_Mg_clay                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Fe_Mg_carbonate            : num  0 0 0 0 0 0 0 0 0 1 ...
-##  $ Mg_sulfate                 : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Phyllosilicates            : num  0 0 0 0 0 0 0 1 1 1 ...
-##  $ Chlorite                   : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Halite                     : num  1 0 0 0 0 0 0 0 0 1 ...
-##  $ Organic_matter             : num  0 0 0 1 1 1 1 1 1 0 ...
-##  $ Hydrated_Ca_Sulfate        : num  0 1 1 0 0 0 0 0 0 0 ...
-##  $ Hydrated_Sulfates          : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Hydrated_Mg_Fe_Sulfate     : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Na_Perchlorate             : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Amorphous_Silicate         : num  1 1 1 1 1 1 1 0 0 0 ...
-##  $ Hydrated_Carbonates        : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Disordered_Silicates       : num  0 0 0 0 0 0 0 1 1 0 ...
-##  $ Hydrated_Iron_Oxide        : num  1 0 0 0 0 0 0 0 0 0 ...
-##  $ Sulfate+Organic_Matter     : num  0 0 0 0 0 1 1 0 0 0 ...
-##  $ Other_hydrated_phases      : num  0 0 0 1 1 1 1 1 1 1 ...
-##  $ Kaolinite                  : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Chromite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Ilmenite                   : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Zircon/Baddeleyite         : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Spinels                    : num  0 0 0 0 0 0 0 0 0 0 ...
-##  $ Na20                       : num  1.928 1.338 -0.498 -0.538 1.225 ...
-##  $ Mgo                        : num  -1.14 -1.19 0.95 0.14 -1.38 ...
-##  $ Al203                      : num  0.663 0.506 -0.707 -0.723 1.741 ...
-##  $ Si02                       : num  -0.0239 0.4749 0.0786 0.1584 1.682 ...
-##  $ P205                       : num  1.439 3.039 -0.247 -0.535 0.272 ...
-##  $ S03                        : num  -0.384 -0.314 -0.639 -0.521 -0.609 ...
-##  $ Cl                         : num  1.194 -0.281 -0.912 -0.696 0.18 ...
-##  $ K20                        : num  0.24 0.678 -0.565 -0.537 1.864 ...
-##  $ Cao                        : num  2.101 2.023 -0.385 -0.385 0.32 ...
-##  $ Ti02                       : num  1.189 3.053 -0.821 0.312 -0.419 ...
-##  $ Cr203                      : num  -0.53 -0.563 -0.155 -0.106 -0.579 ...
-##  $ Mno                        : num  0.442 0.329 1.731 1.115 -0.568 ...
-##  $ FeO-T                      : num  -0.46 0.301 1.451 0.717 -1.385 ...</code></pre>
+<pre><code>##  num [1:16, 1:83] 1 1 1 0 0 0 0 0 0 0 ...
+##  - attr(*, &quot;dimnames&quot;)=List of 2
+##   ..$ : NULL
+##   ..$ : chr [1:83] &quot;Plagioclase&quot; &quot;Sulfate&quot; &quot;Ca-sulfate&quot; &quot;Hydrated Ca-sulfate&quot; ...</code></pre>
 </div>
 </div>
 <div id="analysis-of-data-part-3" class="section level1" number="4">
@@ -3132,8 +2898,8 @@ <h1><span class="header-section-number">4</span> Analysis of Data (Part
 <p>Each team has been assigned one of six datasets:</p>
 <ol style="list-style-type: decimal">
 <li><p>Dataset B: PIXL: The PIXL team’s goal is to understand and
-explain how scaling improves results from Assignment 1. The matrix
-version was scaled above.</p></li>
+explain how scaling changes results from Assignment 1. The matrix
+version was scaled above but not in Assignment 1.</p></li>
 <li><p>Dataset C: LIBS (with appropriate scaling as necessary. Not
 scaled yet.)</p></li>
 <li><p>Dataset D: Sherloc (with appropriate scaling as necessary. Not
@@ -3160,17 +2926,19 @@ <h1><span class="header-section-number">4</span> Analysis of Data (Part
 features are measurements and which features are metadata about the
 samples? (3 pts)</p></li>
 <li><p><em>Scale this data appropriately (you can choose the scaling
-method):</em> Explain why you chose that scaling method. (3
-pts)</p></li>
+method or decide to not scale data):</em> Explain why you chose a
+scaling method or to not scale. (3 pts)</p></li>
 <li><p><em>Cluster the data using k-means or your favorite clustering
 method (like hierarchical clustering):</em> Describe how you picked the
 best number of clusters. Indicate the number of points in each clusters.
 Coordinate with your team so you try different approaches. If you want
 to share results with your team mates, make sure to use the same random
 seeds. (6 pts)</p></li>
-<li><p><em>Perform a <strong>creative analysis</strong> that provides
+<li><p>_Perform a <strong>creative analysis</strong> that provides
 insights into what one or more of the clusters are and what they tell
-you about the MARS data:</em></p></li>
+you about the MARS data: Alternatively do another creative analysis of
+your datasets that leads to one of more findings. Make sure to explain
+what your analysis and discuss your the results.</p></li>
 </ol>
 </div>
 <div id="preparation-of-team-presentation-part-4" class="section level1" number="5">
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index fe05e60..fd1618a 100644
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