Artifacts that might be useful for the paper

[jwzimmer-zz]

If we want to include an example of the original data in the paper (maybe in an appendix or something), here is a latex table (untested) for the first 5 rows of the uncleaned data:

\\begin{tabular}{llrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr}\n\\toprule\n{} & unnamed.1 &  BAP1 &  BAP2 &  BAP3 &  BAP4 &  BAP5 &  BAP6 &  BAP7 &  BAP8 &  BAP9 &  BAP10 &  BAP11 &  BAP12 &  BAP13 &  BAP14 &  BAP15 &  BAP16 &  BAP17 &  BAP18 &  BAP19 &  BAP20 &  BAP21 &  BAP22 &  BAP23 &  BAP24 &  BAP25 &  BAP26 &  BAP27 &  BAP28 &  BAP29 &  BAP30 &  BAP31 &  BAP32 &  BAP33 &  BAP34 &  BAP35 &  BAP36 &  BAP37 &  BAP38 &  BAP39 &  BAP40 &  BAP41 &  BAP42 &  BAP43 &  BAP44 &  BAP45 &  BAP46 &  BAP47 &  BAP48 &  BAP49 &  BAP50 &  BAP51 &  BAP52 &  BAP53 &  BAP54 &  BAP55 &  BAP56 &  BAP57 &  BAP58 &  BAP59 &  BAP60 &  BAP61 &  BAP62 &  BAP63 &  BAP64 &  BAP65 &  BAP66 &  BAP67 &  BAP68 &  BAP69 &  BAP70 &  BAP71 &  BAP72 &  BAP73 &  BAP74 &  BAP75 &  BAP76 &  BAP77 &  BAP78 &  BAP79 &  BAP80 &  BAP81 &  BAP82 &  BAP83 &  BAP84 &  BAP85 &  BAP86 &  BAP87 &  BAP88 &  BAP89 &  BAP90 &  BAP91 &  BAP92 &  BAP93 &  BAP94 &  BAP95 &  BAP96 &  BAP97 &  BAP98 &  BAP99 &  BAP100 &  BAP101 &  BAP102 &  BAP103 &  BAP104 &  BAP105 &  BAP106 &  BAP107 &  BAP108 &  BAP109 &  BAP110 &  BAP111 &  BAP112 &  BAP113 &  BAP114 &  BAP115 &  BAP116 &  BAP117 &  BAP118 &  BAP119 &  BAP120 &  BAP121 &  BAP122 &  BAP123 &  BAP124 &  BAP125 &  BAP126 &  BAP127 &  BAP128 &  BAP129 &  BAP130 &  BAP131 &  BAP132 &  BAP133 &  BAP134 &  BAP135 &  BAP136 &  BAP137 &  BAP138 &  BAP139 &  BAP140 &  BAP141 &  BAP142 &  BAP143 &  BAP144 &  BAP145 &  BAP146 &  BAP147 &  BAP148 &  BAP149 &  BAP150 &  BAP151 &  BAP152 &  BAP153 &  BAP154 &  BAP155 &  BAP156 &  BAP157 &  BAP158 &  BAP159 &  BAP160 &  BAP161 &  BAP162 &  BAP163 &  BAP164 &  BAP165 &  BAP166 &  BAP167 &  BAP168 &  BAP169 &  BAP170 &  BAP171 &  BAP172 &  BAP173 &  BAP174 &  BAP175 &  BAP176 &  BAP177 &  BAP178 &  BAP179 &  BAP180 &  BAP181 &  BAP182 &  BAP183 &  BAP184 &  BAP185 &  BAP186 &  BAP187 &  BAP188 &  BAP189 &  BAP190 &  BAP191 &  BAP192 &  BAP193 &  BAP194 &  BAP195 &  BAP196 &  BAP197 &  BAP198 &  BAP199 &  BAP200 &  BAP201 &  BAP202 &  BAP203 &  BAP204 &  BAP205 &  BAP206 &  BAP207 &  BAP208 &  BAP209 &  BAP210 &  BAP211 &  BAP212 &  BAP213 &  BAP214 &  BAP215 &  BAP216 &  BAP217 &  BAP218 &  BAP219 &  BAP220 &  BAP221 &  BAP222 &  BAP223 &  BAP224 &  BAP225 &  BAP226 &  BAP227 &  BAP228 &  BAP229 &  BAP230 &  BAP231 &  BAP232 &  BAP233 &  BAP234 &  BAP235 &  BAP236 &  BAP237 &  BAP238 &  BAP239 &  BAP240 &  BAP241 &  BAP242 &  BAP243 &  BAP244 &  BAP245 &  BAP246 &  BAP247 &  BAP248 &  BAP249 &  BAP250 &  BAP251 &  BAP252 &  BAP253 &  BAP254 &  BAP255 &  BAP256 &  BAP257 &  BAP258 &  BAP259 &  BAP260 &  BAP261 &  BAP262 &  BAP263 &  BAP264 &  BAP265 &  BAP266 &  BAP267 &  BAP268 \\\\\n\\midrule\n0 &    NCIS/1 &  86.5 &  82.1 &  74.8 &   7.9 &  31.1 &  78.1 &  37.9 &  20.6 &  55.7 &   67.3 &   83.7 &   78.6 &   15.1 &   83.0 &   17.7 &   43.1 &   48.0 &   20.1 &   23.4 &   85.5 &   49.6 &   27.2 &   13.9 &    8.5 &   52.6 &   10.9 &   60.0 &    7.2 &   72.6 &   44.6 &   63.2 &    5.6 &   65.4 &   91.6 &   84.0 &   58.0 &   83.5 &   63.0 &   12.5 &   26.3 &   15.4 &   61.7 &   59.9 &   71.9 &   60.4 &   31.6 &   86.9 &   32.6 &   31.4 &   12.4 &   48.9 &   33.9 &   35.8 &   89.2 &   26.6 &   15.0 &   15.7 &   75.3 &   91.8 &   25.0 &   57.0 &   14.1 &   67.9 &   55.7 &   22.8 &   25.7 &   78.8 &   40.6 &   27.0 &   77.2 &    9.9 &   79.4 &   58.6 &   22.5 &   93.1 &   35.5 &   63.7 &   61.1 &   74.4 &   77.6 &   42.8 &   87.1 &   35.2 &   66.1 &   11.9 &   42.7 &   26.7 &   44.6 &   50.9 &   22.4 &   50.3 &   72.6 &   75.3 &    5.1 &   55.1 &   46.3 &   39.9 &   21.9 &   55.4 &    79.2 &    60.9 &    59.5 &    79.7 &    68.9 &    43.9 &    73.9 &    64.6 &    78.3 &    24.7 &    63.4 &    79.8 &    71.8 &    66.0 &    34.0 &    74.1 &    52.4 &    33.4 &    73.1 &    41.0 &    64.2 &    47.0 &    24.9 &    50.9 &    53.5 &    43.0 &    42.4 &    81.0 &    89.8 &    69.2 &    14.7 &    17.0 &    87.9 &    56.9 &    61.7 &     7.8 &    90.5 &    74.0 &    41.4 &     6.9 &    55.7 &    15.3 &    24.0 &    32.3 &    34.7 &    14.0 &    42.9 &    52.7 &    49.7 &    55.8 &    17.7 &    65.8 &    82.7 &    77.7 &    52.0 &    55.1 &    93.2 &    38.7 &    46.3 &    63.1 &    71.4 &     8.9 &    22.9 &    11.7 &    58.3 &    58.6 &    58.2 &    20.9 &    76.9 &    72.6 &    78.4 &    55.7 &    14.9 &    88.1 &    94.8 &     8.0 &    82.4 &    46.6 &    56.5 &    70.0 &    74.9 &    17.7 &    66.3 &    20.4 &    25.8 &    56.3 &    92.7 &    83.6 &    51.0 &    28.1 &    50.7 &    24.3 &    18.6 &    62.6 &    75.5 &    56.8 &    31.2 &    32.3 &    36.7 &     5.8 &     8.6 &    73.5 &    67.2 &    22.4 &     7.6 &    94.1 &    78.9 &    32.9 &    29.0 &    66.7 &    35.2 &    37.9 &    80.7 &    12.0 &    84.3 &    21.7 &    69.0 &    55.7 &     6.1 &    55.0 &    14.6 &    25.5 &    34.3 &    66.1 &    63.6 &     9.1 &    33.9 &    87.1 &    82.8 &    24.8 &    14.1 &    21.7 &    25.5 &    15.1 &    88.3 &    54.7 &    37.9 &    44.8 &    51.5 &    81.1 &    30.3 &    44.8 &    35.4 &    80.8 &    65.7 &    65.3 &    65.8 &    37.6 &    57.1 &    37.1 &    19.6 &    32.6 &    24.3 &    47.8 &    41.5 &    51.5 &    61.6 &    61.8 &    38.5 &    38.4 &    57.9 &    21.1 &    64.2 &    23.4 &    29.4 &    76.7 &    32.8 &    81.9 &    11.5 \\\\\n1 &    NCIS/2 &  18.5 &  88.2 &  24.3 &  14.4 &  13.1 &  40.4 &  69.7 &  73.3 &  48.7 &   55.0 &   79.0 &   46.7 &   70.9 &   51.0 &   68.6 &   47.5 &   24.5 &   64.6 &   19.6 &   74.0 &   58.3 &   31.2 &   76.5 &   27.9 &   47.5 &   62.5 &   26.7 &   12.8 &   43.3 &   25.4 &   52.9 &   54.0 &   20.2 &   15.0 &   44.4 &   39.0 &   49.5 &   28.3 &   17.0 &   20.1 &   63.6 &   19.2 &   49.5 &   26.5 &   27.0 &   36.4 &   26.1 &   42.7 &   80.2 &   63.3 &   75.3 &   32.7 &   45.1 &   56.8 &   71.2 &   37.8 &   27.7 &   55.4 &   31.7 &   87.3 &   55.6 &   18.8 &   44.4 &   40.7 &   26.5 &   75.0 &   39.9 &   30.5 &   26.4 &   30.2 &   65.5 &   11.9 &   24.9 &   41.4 &   40.4 &   54.2 &   84.8 &   59.9 &   43.5 &   76.6 &   52.3 &   73.3 &   59.2 &   73.4 &   50.8 &   63.9 &   55.5 &   74.4 &   10.1 &   76.4 &   19.8 &   60.7 &   63.7 &   43.4 &   15.2 &   64.7 &   30.8 &   47.8 &   79.0 &    33.0 &    37.7 &    70.1 &    66.9 &    32.6 &    23.9 &    73.9 &    38.3 &    81.6 &    52.3 &    26.1 &    48.9 &    33.1 &    24.9 &    63.5 &    49.8 &    66.0 &    69.9 &    38.5 &    60.4 &    67.9 &    15.9 &    43.7 &    15.4 &    69.2 &    86.4 &    76.6 &    78.6 &    68.2 &    27.1 &    22.1 &    28.9 &    43.0 &    20.3 &    70.9 &    29.6 &    76.3 &    60.7 &    61.8 &    28.2 &    50.5 &    43.6 &    14.9 &    24.2 &    46.1 &    38.2 &    26.1 &    77.8 &    58.9 &    66.2 &    64.2 &    49.9 &    69.5 &    22.4 &    38.7 &    65.5 &    37.5 &    56.5 &    73.0 &    27.9 &    27.9 &    58.4 &    52.7 &    42.6 &    56.8 &    71.5 &    24.7 &    41.4 &    25.2 &    42.5 &    75.2 &    37.3 &    42.4 &    23.5 &    55.5 &    13.7 &    82.6 &    56.7 &    77.8 &    59.2 &    70.4 &    49.9 &    74.5 &    49.1 &    18.5 &    50.9 &    25.9 &    58.1 &    54.1 &    50.0 &    69.8 &    49.6 &    52.0 &    57.2 &    43.5 &    55.1 &    40.3 &    53.3 &    66.2 &    57.8 &    22.8 &    41.8 &    53.7 &    36.7 &    18.4 &    76.7 &    53.4 &    76.4 &    52.0 &    15.9 &    41.4 &    69.2 &    12.8 &    83.4 &    71.5 &    73.9 &    49.3 &    73.3 &    18.3 &    31.5 &    21.9 &    53.9 &    56.7 &    28.5 &    37.4 &    50.1 &    61.6 &    73.8 &    52.7 &    67.8 &    38.6 &    53.7 &    58.1 &    62.9 &    75.6 &    35.5 &    72.2 &    14.0 &    81.4 &    38.2 &    72.8 &    55.1 &    71.4 &    74.8 &    25.6 &    23.9 &    57.7 &    78.0 &    36.9 &    41.0 &    43.1 &    56.4 &    50.6 &    67.0 &    57.8 &    50.8 &    19.9 &    60.1 &    38.1 &    54.8 &    83.3 &    84.5 &    32.1 &    42.1 &    64.7 &    69.2 &    34.3 &    70.4 &    34.3 \\\\\n2 &    NCIS/3 &  16.0 &  86.3 &  11.9 &  64.8 &  35.9 &  61.5 &  15.5 &  70.2 &  60.2 &   22.8 &   55.1 &   68.6 &   90.4 &   62.2 &   67.0 &   86.1 &   66.1 &   55.6 &   30.5 &   36.8 &   67.2 &   61.3 &   78.1 &   29.4 &   27.9 &   22.4 &   35.1 &    6.8 &    8.7 &   11.6 &   79.0 &    9.6 &   45.1 &    9.0 &   52.9 &   45.7 &   91.2 &   74.3 &   15.4 &   17.6 &   64.6 &   28.4 &   61.8 &   36.9 &   16.0 &   50.9 &   21.8 &   48.8 &   80.4 &   36.4 &   51.9 &   40.3 &   50.1 &   28.4 &   53.8 &   31.6 &   35.4 &   58.9 &   31.0 &   84.5 &   55.1 &   20.4 &   26.3 &   69.1 &    8.8 &   51.0 &   53.4 &   83.9 &   41.5 &   18.9 &   54.8 &   25.3 &    7.6 &   66.9 &   63.0 &   79.3 &   11.4 &   59.5 &   85.3 &   55.4 &   39.8 &   74.2 &   48.4 &   90.2 &   47.9 &   18.9 &   44.1 &   81.9 &   12.0 &   86.7 &   57.9 &   37.8 &   16.2 &   45.8 &   10.5 &   81.6 &   47.5 &   66.6 &   80.0 &    38.0 &    57.5 &    93.3 &    91.4 &    47.9 &    12.8 &    87.1 &    21.3 &    80.3 &    87.8 &    57.9 &     4.8 &    27.7 &    34.8 &    16.2 &    35.6 &    74.6 &    84.1 &    72.2 &    83.7 &    68.5 &    63.5 &    36.9 &    86.4 &    82.7 &    89.0 &    85.4 &    75.5 &    55.5 &    16.0 &    28.7 &    14.6 &    27.5 &     8.2 &    73.3 &     6.9 &    92.5 &    77.3 &    34.7 &    30.8 &    49.8 &    53.9 &     9.0 &    28.3 &    48.6 &     4.8 &    63.1 &    89.1 &    43.2 &    81.9 &    49.1 &    82.7 &    48.0 &    32.8 &    86.6 &    75.6 &    50.6 &    61.5 &    64.8 &    58.2 &    27.1 &    64.4 &    21.7 &    24.7 &    53.5 &    54.2 &    16.1 &    33.4 &    29.9 &    75.2 &    72.6 &     9.4 &    35.9 &    30.7 &    84.2 &    65.9 &    53.3 &    68.1 &    59.8 &    81.9 &    62.2 &    19.2 &    87.9 &    65.8 &    14.1 &    64.5 &    42.3 &    35.3 &    61.7 &    40.6 &    72.7 &    86.8 &    76.3 &    80.3 &    37.8 &    19.0 &    28.8 &    21.5 &    91.0 &    12.4 &     7.7 &    28.6 &    35.3 &    50.1 &     9.8 &    92.3 &    58.4 &    81.4 &    22.8 &    32.5 &    45.4 &    84.3 &    37.2 &    54.2 &    88.3 &    59.9 &    13.0 &    33.4 &     6.8 &    37.6 &    36.5 &    38.4 &    22.3 &    11.4 &    14.5 &    33.7 &     8.6 &    92.7 &    23.1 &    78.9 &    28.5 &    17.8 &    19.0 &    67.5 &    92.0 &    30.4 &    81.4 &    33.7 &    85.1 &    72.7 &    18.4 &    78.6 &    71.8 &    93.9 &    91.0 &    15.9 &    24.2 &    37.1 &    54.1 &    35.6 &    42.9 &    42.4 &    91.0 &    63.8 &    40.8 &    14.9 &    22.6 &    27.8 &    52.7 &    18.9 &    75.2 &    93.7 &    49.6 &    36.0 &    31.5 &    22.3 &    15.9 &    78.8 &    13.2 \\\\\n3 &    NCIS/4 &  63.5 &  64.7 &  29.1 &  34.1 &  24.5 &  84.2 &   7.1 &  49.3 &  14.1 &   33.1 &   70.3 &   88.1 &   46.5 &   79.4 &   15.6 &   55.4 &   82.9 &   63.7 &   59.7 &   63.1 &   72.5 &   74.3 &   23.8 &   46.3 &   17.9 &    9.9 &   84.3 &    6.7 &   61.2 &   21.6 &   88.2 &    7.2 &   78.8 &   32.0 &   84.0 &   78.8 &   90.4 &   77.5 &   15.0 &   37.6 &   30.4 &   77.5 &   56.1 &   74.5 &   76.0 &   40.2 &   77.0 &   47.7 &   18.2 &   15.6 &   23.3 &   31.4 &   52.2 &   44.6 &   25.0 &   40.9 &   49.3 &   91.9 &   58.2 &   27.2 &   49.5 &   16.2 &   30.5 &   79.6 &   55.8 &   45.7 &   84.8 &   54.7 &   82.4 &   86.2 &   23.3 &   54.4 &   26.4 &   20.7 &   89.1 &   79.3 &   10.0 &   70.5 &   85.4 &   65.8 &   17.3 &   78.6 &   22.7 &   93.0 &   42.7 &   56.0 &   55.7 &   67.1 &   38.8 &   34.4 &   54.9 &   46.9 &   60.6 &   15.2 &   26.8 &   19.2 &   24.2 &   68.4 &   68.1 &    43.4 &    74.3 &    74.2 &    78.7 &    23.7 &    65.9 &    76.7 &    29.7 &    69.2 &    48.7 &    78.8 &    57.1 &    53.7 &    51.4 &    30.3 &    75.5 &    61.1 &    71.5 &    81.3 &    78.9 &    50.6 &    73.0 &    11.7 &    93.0 &    24.8 &    85.6 &    78.5 &    78.1 &    56.6 &    22.2 &    48.4 &    37.6 &    74.0 &    52.2 &    32.7 &     7.7 &    85.7 &    52.7 &    60.6 &    54.3 &    54.9 &    42.0 &    19.3 &    76.0 &     8.4 &     4.7 &    37.6 &    44.5 &    55.5 &    57.3 &    12.3 &    86.3 &    33.2 &    84.8 &    82.8 &    47.9 &    72.3 &    24.1 &    14.4 &    34.2 &    29.0 &    59.1 &    53.8 &    19.2 &    52.8 &    86.8 &    77.7 &    13.0 &    91.2 &    71.8 &    48.7 &    21.3 &    24.2 &    71.6 &    92.2 &    26.4 &    72.6 &    47.0 &    17.6 &    88.9 &    75.1 &    18.8 &    87.1 &    65.7 &    31.0 &    43.2 &    90.8 &    71.5 &    68.8 &    22.7 &    60.8 &    21.6 &    35.3 &    78.3 &    52.3 &    17.3 &    54.7 &    17.8 &    25.7 &    16.8 &    12.1 &    74.2 &    71.8 &    56.5 &    14.5 &    93.7 &    87.4 &    45.7 &    18.7 &    48.7 &    53.4 &    80.8 &    51.9 &    16.5 &    76.2 &    38.6 &    41.6 &    46.7 &    10.6 &    63.2 &    21.5 &    20.3 &    17.3 &    24.7 &    45.0 &    19.5 &    23.6 &    87.5 &    56.1 &    21.2 &    24.4 &    16.5 &     5.0 &    37.2 &    93.6 &    26.6 &    64.4 &    78.8 &    75.7 &    61.8 &    28.0 &    77.7 &    38.3 &    87.2 &    95.9 &    18.9 &     8.3 &    10.9 &    84.3 &    22.4 &    48.1 &    38.6 &    41.2 &    30.7 &    21.3 &    50.0 &    47.0 &    50.0 &    32.1 &    64.6 &    55.6 &    49.2 &    74.1 &    59.7 &    51.4 &    12.4 &    29.8 &    79.1 &    15.6 \\\\\n4 &    NCIS/5 &  68.6 &  32.4 &  42.1 &  39.8 &  71.5 &  67.0 &  16.8 &  44.8 &  21.2 &   37.2 &   32.8 &   83.9 &   54.6 &   80.8 &   18.5 &   60.2 &   74.7 &   29.7 &   63.2 &   70.4 &   46.8 &   73.4 &   19.7 &   75.1 &   22.4 &   34.2 &   81.6 &    9.5 &   68.6 &   30.8 &   85.9 &   16.8 &   71.0 &   56.9 &   67.3 &   73.0 &   75.1 &   80.5 &   11.6 &   40.8 &   23.1 &   85.1 &   60.3 &   77.0 &   78.4 &   29.4 &   79.4 &   45.9 &   17.9 &   17.5 &   22.5 &   49.6 &   47.7 &   61.3 &   21.7 &   55.7 &   70.9 &   89.7 &   71.6 &   25.1 &   47.2 &   69.7 &   30.3 &   80.1 &   48.9 &   31.8 &   80.9 &   48.2 &   38.7 &   29.6 &   33.0 &   78.8 &   45.5 &   69.7 &   79.5 &   76.6 &   10.9 &   60.3 &   76.5 &   69.9 &   16.4 &   39.9 &   24.7 &   89.4 &   48.5 &   38.3 &   37.9 &   35.4 &   64.9 &   26.9 &   72.3 &   22.9 &   75.3 &   58.5 &   41.3 &   22.3 &   44.9 &   75.0 &   72.4 &    70.1 &    59.2 &    45.7 &    58.5 &    34.6 &    77.9 &    56.9 &    45.7 &    76.7 &    81.5 &    68.9 &    12.6 &    63.9 &    52.3 &    52.2 &    82.5 &    44.9 &    62.2 &    62.8 &    77.4 &    38.6 &    75.3 &    14.7 &    83.3 &    19.3 &    74.7 &    70.8 &    32.2 &    40.4 &    24.3 &    68.9 &    37.7 &    71.5 &    70.9 &    16.7 &    16.1 &    81.3 &    37.8 &    47.0 &    76.6 &    63.0 &    70.5 &    49.1 &    72.4 &    34.3 &    14.3 &    46.1 &    35.4 &    53.7 &    45.4 &    20.4 &    80.3 &    65.1 &    45.2 &    67.4 &    25.1 &    73.5 &    23.0 &    20.4 &    63.8 &    59.4 &    78.1 &    74.7 &    56.2 &    51.1 &    76.8 &    84.3 &    28.8 &    80.4 &    59.4 &    31.9 &    40.2 &    24.2 &    62.3 &    38.1 &    26.6 &    75.9 &    36.4 &    30.1 &    80.9 &    71.9 &    51.7 &    80.2 &    74.4 &    40.1 &    36.2 &    70.5 &    63.6 &    67.6 &    37.7 &    56.4 &    25.2 &    29.3 &    64.4 &    67.0 &    22.3 &    61.3 &    29.8 &    24.7 &    17.9 &    22.2 &    80.2 &    76.6 &    79.7 &    23.1 &    54.5 &    84.8 &    59.0 &    29.7 &    40.4 &    52.0 &    71.6 &    58.8 &    23.5 &    73.0 &    29.7 &    50.6 &    43.8 &    17.3 &    53.7 &    22.9 &    26.6 &    13.5 &    38.2 &    66.6 &    38.9 &    26.8 &    86.8 &    75.1 &    31.6 &    41.8 &    32.2 &    13.6 &    50.9 &    80.8 &    36.9 &    46.3 &    73.4 &    61.9 &    64.1 &    43.7 &    69.2 &    24.8 &    71.8 &    82.3 &    32.0 &    41.4 &    23.1 &    82.5 &    36.2 &    58.6 &    45.0 &    40.6 &    46.4 &    18.8 &    62.0 &    53.0 &    61.1 &    43.6 &    73.8 &    39.4 &    36.7 &    71.5 &    61.4 &    45.3 &    67.5 &    33.7 &    76.2 &    24.8 \\\\\n\\bottomrule\n\\end{tabular}\n

[jwzimmer-zz]

If we want to include the Pride and Prejudice toy matrix (from #6 (comment)) in the paper:

\\begin{tabular}{lrrrrrrrrrrrrrrr}\n\\toprule\n{} &  gossiping<->confidential &  judgemental<->accepting &  independent<->codependent &  scandalous<->proper &  selfish<->altruistic &  cunning<->honorable &  trash<->treasure &  young<->old &  arrogant<->humble &  wholesome<->salacious &  sheltered<->street-smart &  rich<->poor &  quarrelsome<->warm &  masculine<->feminine &  rude<->respectful \\\\\n\\midrule\n259 &                 32.579875 &                -25.77425 &                   -24.1915 &             33.46175 &              8.399375 &            29.580625 &           8.70275 &      2.43275 &         -13.626125 &             -15.341375 &                   -11.676 &    -39.01425 &           -15.00575 &            -29.178375 &         -12.949625 \\\\\n260 &                 19.579875 &                -19.57425 &                   -34.3915 &             -4.43825 &             13.199375 &            14.280625 &          26.00275 &    -22.96725 &          -1.926125 &             -25.541375 &                    11.224 &     21.38575 &            -7.80575 &             20.421625 &          -4.749625 \\\\\n261 &                -32.620125 &                -33.77425 &                    39.7085 &             24.56175 &            -27.200625 &            -9.019375 &         -41.59725 &     22.23275 &         -24.226125 &              22.758625 &                   -39.876 &      7.48575 &           -19.40575 &              2.721625 &         -16.449625 \\\\\n262 &                -40.720125 &                -16.17425 &                    23.6085 &            -39.63825 &            -42.500625 &           -42.419375 &         -55.29725 &    -24.06725 &         -32.026125 &              34.858625 &                    17.224 &     33.98575 &           -16.30575 &            -18.678375 &         -30.449625 \\\\\n263 &                  9.279875 &                 31.52575 &                    28.8085 &             31.26175 &             22.999375 &            31.280625 &          12.70275 &    -28.26725 &          30.473875 &             -29.641375 &                   -37.776 &    -34.01425 &            41.09425 &             -1.778375 &          30.250375 \\\\\n264 &                 14.979875 &                 38.12575 &                    25.1085 &             25.66175 &             25.899375 &            29.380625 &          16.40275 &    -35.76725 &          37.973875 &             -32.941375 &                   -42.276 &    -31.61425 &            38.09425 &             46.121625 &          30.550375 \\\\\n265 &                -50.420125 &                -15.67425 &                    26.0085 &            -37.33825 &            -40.300625 &           -32.019375 &         -32.09725 &    -37.26725 &         -29.526125 &              29.958625 &                   -34.576 &     25.68575 &           -25.30575 &             40.821625 &         -34.949625 \\\\\n266 &                 25.979875 &                 39.42575 &                    24.0085 &             40.66175 &             34.299375 &            35.880625 &          19.60275 &    -20.76725 &          45.073875 &             -33.841375 &                   -38.276 &     14.38575 &            44.29425 &             48.421625 &          37.650375 \\\\\n267 &                -50.420125 &                -28.17425 &                    39.6085 &             -9.43825 &            -28.800625 &           -23.619375 &         -22.69725 &     31.93275 &         -17.826125 &              13.758625 &                   -14.676 &     19.68575 &           -20.20575 &             40.321625 &         -25.049625 \\\\\n268 &                -32.920125 &                -41.47425 &                   -14.7915 &             33.46175 &            -36.300625 &           -30.219375 &         -37.09725 &     45.53275 &         -37.626125 &              30.258625 &                   -20.376 &    -40.11425 &           -36.40575 &             14.921625 &         -38.849625 \\\\\n\\bottomrule\n\\end{tabular}\n

[jwzimmer-zz]

The toy matrix from #6 (comment):

\\begin{tabular}{lrrrrr}\n\\toprule\n{} &  gossiping<->confidential &  judgemental<->accepting &  independent<->codependent &  scandalous<->proper &  selfish<->altruistic \\\\\n\\midrule\n259 &                 32.579875 &                -25.77425 &                   -24.1915 &             33.46175 &              8.399375 \\\\\n260 &                 19.579875 &                -19.57425 &                   -34.3915 &             -4.43825 &             13.199375 \\\\\n261 &                -32.620125 &                -33.77425 &                    39.7085 &             24.56175 &            -27.200625 \\\\\n262 &                -40.720125 &                -16.17425 &                    23.6085 &            -39.63825 &            -42.500625 \\\\\n263 &                  9.279875 &                 31.52575 &                    28.8085 &             31.26175 &             22.999375 \\\\\n264 &                 14.979875 &                 38.12575 &                    25.1085 &             25.66175 &             25.899375 \\\\\n265 &                -50.420125 &                -15.67425 &                    26.0085 &            -37.33825 &            -40.300625 \\\\\n266 &                 25.979875 &                 39.42575 &                    24.0085 &             40.66175 &             34.299375 \\\\\n267 &                -50.420125 &                -28.17425 &                    39.6085 &             -9.43825 &            -28.800625 \\\\\n268 &                -32.920125 &                -41.47425 &                   -14.7915 &             33.46175 &            -36.300625 \\\\\n\\bottomrule\n\\end{tabular}\n

[jwzimmer-zz]

Note to self you forgot to print the strings, so you need to print those before anything will recognize the formatting : \

[jwzimmer-zz]

"Dfsmall", the 10 characters from Pride and Prejudice x the 5 most relevant traits (with means removed previously), with the names displayed better: names = df_traits["name"].iloc[259:269], print(names.to_markdown())

	gossiping<->confidential	judgemental<->accepting	independent<->codependent	scandalous<->proper	selfish<->altruistic
Mr. Darcy	32.5799	-25.7742	-24.1915	33.4618	8.39938
Elizabeth Bennet	19.5799	-19.5742	-34.3915	-4.43825	13.1994
Mr. William Collins	-32.6201	-33.7742	39.7085	24.5618	-27.2006
George Wickham	-40.7201	-16.1742	23.6085	-39.6382	-42.5006
Charles Bingley	9.27988	31.5258	28.8085	31.2618	22.9994
Georgiana Darcy	14.9799	38.1258	25.1085	25.6618	25.8994
Lydia Bennet	-50.4201	-15.6742	26.0085	-37.3382	-40.3006
Jane Bennet	25.9799	39.4258	24.0085	40.6618	34.2994
Mrs. Bennet	-50.4201	-28.1742	39.6085	-9.43825	-28.8006
Lady Catherine de Bourgh	-32.9201	-41.4742	-14.7915	33.4618	-36.3006