{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Dimension Reduction with UMAP and Plotly Scatterplot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is a workflow I use often in data exploration. UMAP gives a good representation of high-dimensional data, and Bokeh is helpful in creating a simple interactive plots with contextual info given by colors and tooltips. \n", "\n", "Compared to TSNE, I've found UMAP much faster and capable of handling larger datasets\n", "\n", "This workflow has been extremely helpful for:\n", "\n", "- text analytics/NLP tasks if text data is passed through a `TfidfVectorizer` or similar from `scikit-learn`\n", "- understanding `word2vec` or `doc2vec` vectors by passing them to UMAP\n", "- getting an idea of *separability* in doing prediction / classification by passing the outcome variable to bokeh\n", "\n", "This example uses the [Australian atheletes data set](http://math.furman.edu/~dcs/courses/math47/R/library/DAAG/html/ais.html), which contains 11 numeric variables. This workflow is even more helpful on larger datsets with higher dimensionality.\n", "\n", "### References\n", "\n", "> Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. \n", "\n", "[UMAP: Uniform Manifold Approximation and Projection](https://umap-learn.readthedocs.io/en/latest/)\n", "\n", "> Plotly's Python graphing library makes interactive, publication-quality graphs online. \n", "\n", "[Plotly: Python](https://plot.ly/python/)\n", "\n", "---" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import warnings\n", "\n", "import pandas as pd\n", "import plotly.graph_objs as go\n", "from plotly.offline import download_plotlyjs, init_notebook_mode, iplot\n", "from statsmodels.api import datasets\n", "from umap import UMAP\n", "\n", "init_notebook_mode(connected=True)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "ais = datasets.get_rdataset(\"ais\", \"DAAG\")\n", "data = ais['data']" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rccwcchchgferrbmissfpcBfatlbmhtwtsexsport
03.967.537.512.36020.56109.119.7563.32195.978.9fB_Ball
14.418.338.212.76820.67102.821.3058.55189.774.4fB_Ball
24.145.036.411.62121.86104.619.8855.36177.869.1fB_Ball
34.115.337.312.66921.88126.423.6657.18185.074.9fB_Ball
44.456.841.514.02918.9680.317.6453.20184.664.6fB_Ball
\n", "
" ], "text/plain": [ " rcc wcc hc hg ferr bmi ssf pcBfat lbm ht wt sex \\\n", "0 3.96 7.5 37.5 12.3 60 20.56 109.1 19.75 63.32 195.9 78.9 f \n", "1 4.41 8.3 38.2 12.7 68 20.67 102.8 21.30 58.55 189.7 74.4 f \n", "2 4.14 5.0 36.4 11.6 21 21.86 104.6 19.88 55.36 177.8 69.1 f \n", "3 4.11 5.3 37.3 12.6 69 21.88 126.4 23.66 57.18 185.0 74.9 f \n", "4 4.45 6.8 41.5 14.0 29 18.96 80.3 17.64 53.20 184.6 64.6 f \n", "\n", " sport \n", "0 B_Ball \n", "1 B_Ball \n", "2 B_Ball \n", "3 B_Ball \n", "4 B_Ball " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "data_numeric = data.select_dtypes(exclude=['object'])" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "umap = UMAP(random_state=666)\n", "\n", "# verbose numba warning with umap-learn==0.3.9\n", "# see: https://github.com/lmcinnes/umap/issues/252\n", "\n", "with warnings.catch_warnings():\n", " warnings.simplefilter(\"ignore\")\n", " umap_data = umap.fit_transform(data_numeric)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Formatting data for Plotly\n", "The easiest/cleanest way to get data into plotly is to put everything you'll need (original data, UMAP values, point colorings/other metadata) into a single data frame. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "umap_df = pd.DataFrame(umap_data, columns=['Component 1', 'Component 2'], index=data.index)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "data_all = pd.concat([data, umap_df], axis=1)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "category = \"sex\"\n", "\n", "colormap = {v: i for i, v in enumerate(data_all[category].unique())}\n", "data_all[\"color\"] = data_all[category].map(colormap)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rccwcchchgferrbmissfpcBfatlbmhtwtsexsportComponent 1Component 2color
03.967.537.512.36020.56109.119.7563.32195.978.9fB_Ball3.492826-0.9498050
14.418.338.212.76820.67102.821.3058.55189.774.4fB_Ball3.061910-1.0361360
24.145.036.411.62121.86104.619.8855.36177.869.1fB_Ball4.0351810.8213450
34.115.337.312.66921.88126.423.6657.18185.074.9fB_Ball3.397465-1.4853740
44.456.841.514.02918.9680.317.6453.20184.664.6fB_Ball3.0490681.5583170
\n", "
" ], "text/plain": [ " rcc wcc hc hg ferr bmi ssf pcBfat lbm ht wt sex \\\n", "0 3.96 7.5 37.5 12.3 60 20.56 109.1 19.75 63.32 195.9 78.9 f \n", "1 4.41 8.3 38.2 12.7 68 20.67 102.8 21.30 58.55 189.7 74.4 f \n", "2 4.14 5.0 36.4 11.6 21 21.86 104.6 19.88 55.36 177.8 69.1 f \n", "3 4.11 5.3 37.3 12.6 69 21.88 126.4 23.66 57.18 185.0 74.9 f \n", "4 4.45 6.8 41.5 14.0 29 18.96 80.3 17.64 53.20 184.6 64.6 f \n", "\n", " sport Component 1 Component 2 color \n", "0 B_Ball 3.492826 -0.949805 0 \n", "1 B_Ball 3.061910 -1.036136 0 \n", "2 B_Ball 4.035181 0.821345 0 \n", "3 B_Ball 3.397465 -1.485374 0 \n", "4 B_Ball 3.049068 1.558317 0 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_all.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating the Plot" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "hoverinfo": "text", "marker": { "color": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "colorscale": "RdBu" }, "mode": "markers", "text": [ "rcc: 3.96
wcc: 7.5
hc: 37.5
hg: 12.3
ferr: 60
bmi: 20.56
ssf: 109.1
pcBfat: 19.75
lbm: 63.32
ht: 195.9
wt: 78.9
sex: f
sport: B_Ball", "rcc: 4.41
wcc: 8.3
hc: 38.2
hg: 12.7
ferr: 68
bmi: 20.67
ssf: 102.8
pcBfat: 21.3
lbm: 58.55
ht: 189.7
wt: 74.4
sex: f
sport: B_Ball", "rcc: 4.14
wcc: 5.0
hc: 36.4
hg: 11.6
ferr: 21
bmi: 21.86
ssf: 104.6
pcBfat: 19.88
lbm: 55.36
ht: 177.8
wt: 69.1
sex: f
sport: B_Ball", "rcc: 4.11
wcc: 5.3
hc: 37.3
hg: 12.6
ferr: 69
bmi: 21.88
ssf: 126.4
pcBfat: 23.66
lbm: 57.18
ht: 185.0
wt: 74.9
sex: f
sport: B_Ball", "rcc: 4.45
wcc: 6.8
hc: 41.5
hg: 14.0
ferr: 29
bmi: 18.96
ssf: 80.3
pcBfat: 17.64
lbm: 53.2
ht: 184.6
wt: 64.6
sex: f
sport: B_Ball", "rcc: 4.1
wcc: 4.4
hc: 37.4
hg: 12.5
ferr: 42
bmi: 21.04
ssf: 75.2
pcBfat: 15.58
lbm: 53.77
ht: 174.0
wt: 63.7
sex: f
sport: B_Ball", "rcc: 4.31
wcc: 5.3
hc: 39.6
hg: 12.8
ferr: 73
bmi: 21.69
ssf: 87.2
pcBfat: 19.99
lbm: 60.17
ht: 186.2
wt: 75.2
sex: f
sport: B_Ball", "rcc: 4.42
wcc: 5.7
hc: 39.9
hg: 13.2
ferr: 44
bmi: 20.62
ssf: 97.9
pcBfat: 22.43
lbm: 48.33
ht: 173.8
wt: 62.3
sex: f
sport: B_Ball", "rcc: 4.3
wcc: 8.9
hc: 41.1
hg: 13.5
ferr: 41
bmi: 22.64
ssf: 75.1
pcBfat: 17.95
lbm: 54.57
ht: 171.4
wt: 66.5
sex: f
sport: B_Ball", "rcc: 4.51
wcc: 4.4
hc: 41.6
hg: 12.7
ferr: 44
bmi: 19.44
ssf: 65.1
pcBfat: 15.07
lbm: 53.42
ht: 179.9
wt: 62.9
sex: f
sport: B_Ball", "rcc: 4.71
wcc: 5.3
hc: 41.4
hg: 14.0
ferr: 38
bmi: 25.75
ssf: 171.1
pcBfat: 28.83
lbm: 68.53
ht: 193.4
wt: 96.3
sex: f
sport: B_Ball", "rcc: 4.62
wcc: 7.3
hc: 43.8
hg: 14.7
ferr: 26
bmi: 21.2
ssf: 76.8
pcBfat: 18.08
lbm: 61.85
ht: 188.7
wt: 75.5
sex: f
sport: B_Ball", "rcc: 4.35
wcc: 7.8
hc: 41.4
hg: 14.1
ferr: 30
bmi: 22.03
ssf: 117.8
pcBfat: 23.3
lbm: 48.32
ht: 169.1
wt: 63.0
sex: f
sport: B_Ball", "rcc: 4.26
wcc: 6.2
hc: 41.0
hg: 13.9
ferr: 48
bmi: 25.44
ssf: 90.2
pcBfat: 17.71
lbm: 66.24
ht: 177.9
wt: 80.5
sex: f
sport: Row", "rcc: 4.63
wcc: 6.0
hc: 43.7
hg: 14.7
ferr: 30
bmi: 22.63
ssf: 97.2
pcBfat: 18.77
lbm: 57.92
ht: 177.5
wt: 71.3
sex: f
sport: Row", "rcc: 4.36
wcc: 5.8
hc: 40.3
hg: 13.3
ferr: 29
bmi: 21.86
ssf: 99.9
pcBfat: 19.83
lbm: 56.52
ht: 179.6
wt: 70.5
sex: f
sport: Row", "rcc: 3.91
wcc: 7.3
hc: 37.6
hg: 12.9
ferr: 43
bmi: 22.27
ssf: 125.9
pcBfat: 25.16
lbm: 54.78
ht: 181.3
wt: 73.2
sex: f
sport: Row", "rcc: 4.51
wcc: 8.3
hc: 43.7
hg: 14.7
ferr: 34
bmi: 21.27
ssf: 69.9
pcBfat: 18.04
lbm: 56.31
ht: 179.7
wt: 68.7
sex: f
sport: Row", "rcc: 4.37
wcc: 8.1
hc: 41.8
hg: 14.3
ferr: 53
bmi: 23.47
ssf: 98.0
pcBfat: 21.79
lbm: 62.96
ht: 185.2
wt: 80.5
sex: f
sport: Row", "rcc: 4.9
wcc: 6.9
hc: 44.0
hg: 14.5
ferr: 59
bmi: 23.19
ssf: 96.8
pcBfat: 22.25
lbm: 56.68
ht: 177.3
wt: 72.9
sex: f
sport: Row", "rcc: 4.46
wcc: 5.7
hc: 39.2
hg: 13.0
ferr: 43
bmi: 23.17
ssf: 80.3
pcBfat: 16.25
lbm: 62.39
ht: 179.3
wt: 74.5
sex: f
sport: Row", "rcc: 3.95
wcc: 3.3
hc: 36.9
hg: 12.5
ferr: 40
bmi: 24.54
ssf: 74.9
pcBfat: 16.38
lbm: 63.05
ht: 175.3
wt: 75.4
sex: f
sport: Row", "rcc: 4.46
wcc: 9.5
hc: 41.5
hg: 14.5
ferr: 92
bmi: 22.96
ssf: 83.0
pcBfat: 19.35
lbm: 56.05
ht: 174.0
wt: 69.5
sex: f
sport: Row", "rcc: 5.02
wcc: 6.4
hc: 44.8
hg: 15.2
ferr: 48
bmi: 19.76
ssf: 91.0
pcBfat: 19.2
lbm: 53.65
ht: 183.3
wt: 66.4
sex: f
sport: Row", "rcc: 4.26
wcc: 5.8
hc: 41.2
hg: 14.1
ferr: 77
bmi: 23.36
ssf: 76.2
pcBfat: 17.89
lbm: 65.45
ht: 184.7
wt: 79.7
sex: f
sport: Row", "rcc: 4.46
wcc: 5.6
hc: 41.1
hg: 14.3
ferr: 71
bmi: 22.67
ssf: 52.6
pcBfat: 12.2
lbm: 64.62
ht: 180.2
wt: 73.6
sex: f
sport: Row", "rcc: 4.16
wcc: 5.8
hc: 39.8
hg: 13.3
ferr: 37
bmi: 24.24
ssf: 111.1
pcBfat: 23.7
lbm: 60.05
ht: 180.2
wt: 78.7
sex: f
sport: Row", "rcc: 4.49
wcc: 7.6
hc: 41.8
hg: 14.4
ferr: 71
bmi: 24.21
ssf: 110.7
pcBfat: 24.69
lbm: 56.48
ht: 176.0
wt: 75.0
sex: f
sport: Row", "rcc: 4.21
wcc: 7.5
hc: 38.4
hg: 13.2
ferr: 73
bmi: 20.46
ssf: 74.7
pcBfat: 16.58
lbm: 41.54
ht: 156.0
wt: 49.8
sex: f
sport: Row", "rcc: 4.57
wcc: 6.6
hc: 42.8
hg: 14.5
ferr: 85
bmi: 20.81
ssf: 113.5
pcBfat: 21.47
lbm: 52.78
ht: 179.7
wt: 67.2
sex: f
sport: Row", "rcc: 4.87
wcc: 6.4
hc: 44.8
hg: 15.0
ferr: 64
bmi: 20.17
ssf: 99.8
pcBfat: 20.12
lbm: 52.72
ht: 180.9
wt: 66.0
sex: f
sport: Row", "rcc: 4.44
wcc: 10.1
hc: 42.7
hg: 14.0
ferr: 19
bmi: 23.06
ssf: 80.3
pcBfat: 17.51
lbm: 61.29
ht: 179.5
wt: 74.3
sex: f
sport: Row", "rcc: 4.45
wcc: 6.6
hc: 42.6
hg: 14.1
ferr: 39
bmi: 24.4
ssf: 109.5
pcBfat: 23.7
lbm: 59.59
ht: 178.9
wt: 78.1
sex: f
sport: Row", "rcc: 4.41
wcc: 5.9
hc: 41.1
hg: 13.5
ferr: 41
bmi: 23.97
ssf: 123.6
pcBfat: 22.39
lbm: 61.7
ht: 182.1
wt: 79.5
sex: f
sport: Row", "rcc: 4.87
wcc: 7.3
hc: 44.1
hg: 14.8
ferr: 13
bmi: 22.62
ssf: 91.2
pcBfat: 20.43
lbm: 62.46
ht: 186.3
wt: 78.5
sex: f
sport: Row", "rcc: 4.56
wcc: 13.3
hc: 42.2
hg: 13.6
ferr: 20
bmi: 19.16
ssf: 49.0
pcBfat: 11.29
lbm: 53.14
ht: 176.8
wt: 59.9
sex: f
sport: Netball", "rcc: 4.15
wcc: 6.0
hc: 38.0
hg: 12.7
ferr: 59
bmi: 21.15
ssf: 110.2
pcBfat: 25.26
lbm: 47.09
ht: 172.6
wt: 63.0
sex: f
sport: Netball", "rcc: 4.16
wcc: 7.6
hc: 37.5
hg: 12.3
ferr: 22
bmi: 21.4
ssf: 89.0
pcBfat: 19.39
lbm: 53.44
ht: 176.0
wt: 66.3
sex: f
sport: Netball", "rcc: 4.32
wcc: 6.4
hc: 37.7
hg: 12.3
ferr: 30
bmi: 21.03
ssf: 98.3
pcBfat: 19.63
lbm: 48.78
ht: 169.9
wt: 60.7
sex: f
sport: Netball", "rcc: 4.06
wcc: 5.8
hc: 38.7
hg: 12.8
ferr: 78
bmi: 21.77
ssf: 122.1
pcBfat: 23.11
lbm: 56.05
ht: 183.0
wt: 72.9
sex: f
sport: Netball", "rcc: 4.12
wcc: 6.1
hc: 36.6
hg: 11.8
ferr: 21
bmi: 21.38
ssf: 90.4
pcBfat: 16.86
lbm: 56.45
ht: 178.2
wt: 67.9
sex: f
sport: Netball", "rcc: 4.17
wcc: 5.0
hc: 37.4
hg: 12.7
ferr: 109
bmi: 21.47
ssf: 106.9
pcBfat: 21.32
lbm: 53.11
ht: 177.3
wt: 67.5
sex: f
sport: Netball", "rcc: 3.8
wcc: 6.6
hc: 36.5
hg: 12.4
ferr: 102
bmi: 24.45
ssf: 156.6
pcBfat: 26.57
lbm: 54.41
ht: 174.1
wt: 74.1
sex: f
sport: Netball", "rcc: 3.96
wcc: 5.5
hc: 36.3
hg: 12.4
ferr: 71
bmi: 22.63
ssf: 101.1
pcBfat: 17.93
lbm: 55.97
ht: 173.6
wt: 68.2
sex: f
sport: Netball", "rcc: 4.44
wcc: 9.7
hc: 41.4
hg: 14.1
ferr: 64
bmi: 22.8
ssf: 126.4
pcBfat: 24.97
lbm: 51.62
ht: 173.7
wt: 68.8
sex: f
sport: Netball", "rcc: 4.27
wcc: 10.6
hc: 37.7
hg: 12.5
ferr: 68
bmi: 23.58
ssf: 114.0
pcBfat: 22.62
lbm: 58.27
ht: 178.7
wt: 75.3
sex: f
sport: Netball", "rcc: 3.9
wcc: 6.3
hc: 35.9
hg: 12.1
ferr: 78
bmi: 20.06
ssf: 70.0
pcBfat: 15.01
lbm: 57.28
ht: 183.3
wt: 67.4
sex: f
sport: Netball", "rcc: 4.02
wcc: 9.1
hc: 37.7
hg: 12.7
ferr: 107
bmi: 23.01
ssf: 77.0
pcBfat: 18.14
lbm: 57.3
ht: 174.4
wt: 70.0
sex: f
sport: Netball", "rcc: 4.39
wcc: 9.6
hc: 38.3
hg: 12.5
ferr: 39
bmi: 24.64
ssf: 148.9
pcBfat: 26.78
lbm: 54.18
ht: 173.3
wt: 74.0
sex: f
sport: Netball", "rcc: 4.52
wcc: 5.1
hc: 38.8
hg: 13.1
ferr: 58
bmi: 18.26
ssf: 80.1
pcBfat: 17.22
lbm: 42.96
ht: 168.6
wt: 51.9
sex: f
sport: Netball", "rcc: 4.25
wcc: 10.7
hc: 39.5
hg: 13.2
ferr: 127
bmi: 24.47
ssf: 156.6
pcBfat: 26.5
lbm: 54.46
ht: 174.0
wt: 74.1
sex: f
sport: Netball", "rcc: 4.46
wcc: 10.9
hc: 39.7
hg: 13.7
ferr: 102
bmi: 23.99
ssf: 115.9
pcBfat: 23.01
lbm: 57.2
ht: 176.0
wt: 74.3
sex: f
sport: Netball", "rcc: 4.4
wcc: 9.3
hc: 40.4
hg: 13.6
ferr: 86
bmi: 26.24
ssf: 181.7
pcBfat: 30.1
lbm: 54.38
ht: 172.2
wt: 77.8
sex: f
sport: Netball", "rcc: 4.83
wcc: 8.4
hc: 41.8
hg: 13.4
ferr: 40
bmi: 20.04
ssf: 71.6
pcBfat: 13.93
lbm: 57.58
ht: 182.7
wt: 66.9
sex: f
sport: Netball", "rcc: 4.23
wcc: 6.9
hc: 38.3
hg: 12.6
ferr: 50
bmi: 25.72
ssf: 143.5
pcBfat: 26.65
lbm: 61.46
ht: 180.5
wt: 83.8
sex: f
sport: Netball", "rcc: 4.24
wcc: 8.4
hc: 37.6
hg: 12.5
ferr: 58
bmi: 25.64
ssf: 200.8
pcBfat: 35.52
lbm: 53.46
ht: 179.8
wt: 82.9
sex: f
sport: Netball", "rcc: 3.95
wcc: 6.6
hc: 38.4
hg: 12.8
ferr: 33
bmi: 19.87
ssf: 68.9
pcBfat: 15.59
lbm: 54.11
ht: 179.6
wt: 64.1
sex: f
sport: Netball", "rcc: 4.03
wcc: 8.5
hc: 37.7
hg: 13.0
ferr: 51
bmi: 23.35
ssf: 103.6
pcBfat: 19.61
lbm: 55.35
ht: 171.7
wt: 68.8
sex: f
sport: Netball", "rcc: 4.36
wcc: 5.5
hc: 41.4
hg: 13.8
ferr: 82
bmi: 22.42
ssf: 71.3
pcBfat: 14.52
lbm: 55.39
ht: 170.0
wt: 64.8
sex: f
sport: Swim", "rcc: 4.07
wcc: 5.9
hc: 39.5
hg: 13.3
ferr: 25
bmi: 20.42
ssf: 54.6
pcBfat: 11.47
lbm: 52.23
ht: 170.0
wt: 59.0
sex: f
sport: Swim", "rcc: 4.17
wcc: 4.9
hc: 38.9
hg: 12.9
ferr: 86
bmi: 22.13
ssf: 88.2
pcBfat: 17.71
lbm: 59.33
ht: 180.5
wt: 72.1
sex: f
sport: Swim", "rcc: 4.23
wcc: 8.1
hc: 38.2
hg: 12.7
ferr: 22
bmi: 25.17
ssf: 95.4
pcBfat: 18.48
lbm: 61.63
ht: 173.3
wt: 75.6
sex: f
sport: Swim", "rcc: 4.46
wcc: 8.3
hc: 42.2
hg: 14.4
ferr: 30
bmi: 23.72
ssf: 47.5
pcBfat: 11.22
lbm: 63.39
ht: 173.5
wt: 71.4
sex: f
sport: Swim", "rcc: 4.38
wcc: 5.8
hc: 42.0
hg: 14.0
ferr: 27
bmi: 21.28
ssf: 55.6
pcBfat: 13.61
lbm: 60.22
ht: 181.0
wt: 69.7
sex: f
sport: Swim", "rcc: 4.31
wcc: 5.3
hc: 41.1
hg: 13.9
ferr: 60
bmi: 20.87
ssf: 62.9
pcBfat: 12.78
lbm: 55.73
ht: 175.0
wt: 63.9
sex: f
sport: Swim", "rcc: 4.51
wcc: 5.1
hc: 40.9
hg: 14.0
ferr: 115
bmi: 19.0
ssf: 52.5
pcBfat: 11.85
lbm: 48.57
ht: 170.3
wt: 55.1
sex: f
sport: Swim", "rcc: 4.13
wcc: 7.0
hc: 39.7
hg: 13.1
ferr: 124
bmi: 22.04
ssf: 62.6
pcBfat: 13.35
lbm: 51.99
ht: 165.0
wt: 60.0
sex: f
sport: Swim", "rcc: 4.48
wcc: 9.5
hc: 36.5
hg: 13.3
ferr: 54
bmi: 20.12
ssf: 49.9
pcBfat: 11.77
lbm: 51.17
ht: 169.8
wt: 58.0
sex: f
sport: Field", "rcc: 5.31
wcc: 9.5
hc: 47.1
hg: 15.9
ferr: 29
bmi: 21.35
ssf: 57.9
pcBfat: 11.07
lbm: 57.54
ht: 174.1
wt: 64.7
sex: f
sport: T_400m", "rcc: 4.58
wcc: 5.8
hc: 42.1
hg: 14.7
ferr: 164
bmi: 28.57
ssf: 109.6
pcBfat: 21.3
lbm: 68.86
ht: 175.0
wt: 87.5
sex: f
sport: Field", "rcc: 4.81
wcc: 6.8
hc: 42.7
hg: 15.3
ferr: 50
bmi: 26.95
ssf: 98.5
pcBfat: 20.1
lbm: 63.04
ht: 171.1
wt: 78.9
sex: f
sport: Field", "rcc: 4.51
wcc: 9.0
hc: 39.7
hg: 14.3
ferr: 36
bmi: 28.13
ssf: 136.3
pcBfat: 24.88
lbm: 63.03
ht: 172.7
wt: 83.9
sex: f
sport: Field", "rcc: 4.77
wcc: 7.1
hc: 40.6
hg: 14.6
ferr: 40
bmi: 26.85
ssf: 103.6
pcBfat: 19.26
lbm: 66.85
ht: 175.6
wt: 82.8
sex: f
sport: Field", "rcc: 5.33
wcc: 9.3
hc: 47.0
hg: 15.0
ferr: 62
bmi: 25.27
ssf: 102.8
pcBfat: 19.51
lbm: 59.89
ht: 171.6
wt: 74.4
sex: f
sport: Field", "rcc: 4.75
wcc: 7.5
hc: 43.8
hg: 15.2
ferr: 90
bmi: 31.93
ssf: 131.9
pcBfat: 23.01
lbm: 72.98
ht: 172.3
wt: 94.8
sex: f
sport: Field", "rcc: 4.11
wcc: 7.3
hc: 38.7
hg: 12.4
ferr: 12
bmi: 16.75
ssf: 33.8
pcBfat: 8.07
lbm: 45.23
ht: 171.4
wt: 49.2
sex: f
sport: T_400m", "rcc: 4.76
wcc: 7.6
hc: 42.9
hg: 13.4
ferr: 36
bmi: 19.54
ssf: 43.5
pcBfat: 11.05
lbm: 55.06
ht: 178.0
wt: 61.9
sex: f
sport: T_Sprnt", "rcc: 4.27
wcc: 6.9
hc: 44.1
hg: 14.7
ferr: 45
bmi: 20.42
ssf: 46.2
pcBfat: 12.39
lbm: 46.96
ht: 162.0
wt: 53.6
sex: f
sport: T_400m", "rcc: 4.44
wcc: 6.1
hc: 42.6
hg: 13.9
ferr: 43
bmi: 22.76
ssf: 73.9
pcBfat: 15.95
lbm: 53.54
ht: 167.3
wt: 63.7
sex: f
sport: T_400m", "rcc: 4.2
wcc: 6.5
hc: 39.1
hg: 13.0
ferr: 51
bmi: 20.12
ssf: 36.8
pcBfat: 9.91
lbm: 47.57
ht: 162.0
wt: 52.8
sex: f
sport: T_400m", "rcc: 4.71
wcc: 6.9
hc: 43.5
hg: 13.8
ferr: 22
bmi: 22.35
ssf: 67.0
pcBfat: 16.2
lbm: 54.63
ht: 170.8
wt: 65.2
sex: f
sport: T_400m", "rcc: 4.09
wcc: 6.4
hc: 40.1
hg: 13.2
ferr: 44
bmi: 19.16
ssf: 41.1
pcBfat: 9.02
lbm: 46.31
ht: 163.0
wt: 50.9
sex: f
sport: T_400m", "rcc: 4.24
wcc: 6.6
hc: 38.2
hg: 12.6
ferr: 26
bmi: 20.77
ssf: 59.4
pcBfat: 14.26
lbm: 49.13
ht: 166.1
wt: 57.3
sex: f
sport: T_400m", "rcc: 3.9
wcc: 6.0
hc: 38.9
hg: 13.5
ferr: 16
bmi: 19.37
ssf: 48.4
pcBfat: 10.48
lbm: 53.71
ht: 176.0
wt: 60.0
sex: f
sport: T_400m", "rcc: 4.82
wcc: 7.6
hc: 43.2
hg: 14.4
ferr: 58
bmi: 22.37
ssf: 50.0
pcBfat: 11.64
lbm: 53.11
ht: 163.9
wt: 60.1
sex: f
sport: T_Sprnt", "rcc: 4.32
wcc: 6.8
hc: 40.6
hg: 13.7
ferr: 46
bmi: 17.54
ssf: 54.6
pcBfat: 12.16
lbm: 46.12
ht: 173.0
wt: 52.5
sex: f
sport: T_400m", "rcc: 4.77
wcc: 7.2
hc: 43.3
hg: 14.8
ferr: 43
bmi: 19.06
ssf: 42.3
pcBfat: 10.53
lbm: 53.41
ht: 177.0
wt: 59.7
sex: f
sport: T_400m", "rcc: 5.16
wcc: 8.2
hc: 45.3
hg: 14.7
ferr: 34
bmi: 20.3
ssf: 46.1
pcBfat: 10.15
lbm: 51.48
ht: 168.0
wt: 57.3
sex: f
sport: T_Sprnt", "rcc: 4.97
wcc: 7.8
hc: 44.7
hg: 14.2
ferr: 41
bmi: 20.15
ssf: 46.3
pcBfat: 10.74
lbm: 53.2
ht: 172.0
wt: 59.6
sex: f
sport: T_Sprnt", "rcc: 4.0
wcc: 4.2
hc: 36.6
hg: 12.0
ferr: 57
bmi: 25.36
ssf: 109.0
pcBfat: 20.86
lbm: 56.58
ht: 167.9
wt: 71.5
sex: f
sport: Tennis", "rcc: 4.4
wcc: 4.0
hc: 40.8
hg: 13.9
ferr: 73
bmi: 22.12
ssf: 98.1
pcBfat: 19.64
lbm: 56.01
ht: 177.5
wt: 69.7
sex: f
sport: Tennis", "rcc: 4.38
wcc: 7.9
hc: 39.8
hg: 13.5
ferr: 88
bmi: 21.25
ssf: 80.6
pcBfat: 17.07
lbm: 46.52
ht: 162.5
wt: 56.1
sex: f
sport: Tennis", "rcc: 4.08
wcc: 6.6
hc: 37.8
hg: 12.1
ferr: 182
bmi: 20.53
ssf: 68.3
pcBfat: 15.31
lbm: 51.75
ht: 172.5
wt: 61.1
sex: f
sport: Tennis", "rcc: 4.98
wcc: 6.4
hc: 44.8
hg: 14.8
ferr: 80
bmi: 17.06
ssf: 47.6
pcBfat: 11.07
lbm: 42.15
ht: 166.7
wt: 47.4
sex: f
sport: Tennis", "rcc: 5.16
wcc: 7.2
hc: 44.3
hg: 14.5
ferr: 88
bmi: 18.29
ssf: 61.9
pcBfat: 12.92
lbm: 48.76
ht: 175.0
wt: 56.0
sex: f
sport: Tennis", "rcc: 4.66
wcc: 6.4
hc: 40.9
hg: 13.9
ferr: 109
bmi: 18.37
ssf: 38.2
pcBfat: 8.45
lbm: 41.93
ht: 157.9
wt: 45.8
sex: f
sport: Tennis", "rcc: 4.19
wcc: 9.0
hc: 39.0
hg: 13.4
ferr: 69
bmi: 18.93
ssf: 43.5
pcBfat: 10.16
lbm: 42.95
ht: 158.9
wt: 47.8
sex: f
sport: Gym", "rcc: 4.53
wcc: 5.0
hc: 40.7
hg: 14.0
ferr: 41
bmi: 17.79
ssf: 56.8
pcBfat: 12.55
lbm: 38.3
ht: 156.9
wt: 43.8
sex: f
sport: Gym", "rcc: 4.09
wcc: 4.9
hc: 36.0
hg: 12.5
ferr: 66
bmi: 17.05
ssf: 41.6
pcBfat: 9.1
lbm: 34.36
ht: 148.9
wt: 37.8
sex: f
sport: Gym", "rcc: 4.42
wcc: 6.4
hc: 42.8
hg: 14.5
ferr: 63
bmi: 20.31
ssf: 58.9
pcBfat: 13.46
lbm: 39.03
ht: 149.0
wt: 45.1
sex: f
sport: Gym", "rcc: 5.13
wcc: 7.1
hc: 46.8
hg: 15.9
ferr: 34
bmi: 22.46
ssf: 44.5
pcBfat: 8.47
lbm: 61.0
ht: 172.7
wt: 67.0
sex: m
sport: Swim", "rcc: 4.83
wcc: 7.6
hc: 45.2
hg: 15.2
ferr: 97
bmi: 23.88
ssf: 41.8
pcBfat: 7.68
lbm: 69.0
ht: 176.5
wt: 74.4
sex: m
sport: Swim", "rcc: 5.09
wcc: 4.7
hc: 46.6
hg: 15.9
ferr: 55
bmi: 23.68
ssf: 33.7
pcBfat: 6.16
lbm: 74.0
ht: 183.0
wt: 79.3
sex: m
sport: Swim", "rcc: 5.17
wcc: 4.1
hc: 44.9
hg: 15.0
ferr: 76
bmi: 23.15
ssf: 50.9
pcBfat: 8.56
lbm: 80.0
ht: 194.4
wt: 87.5
sex: m
sport: Swim", "rcc: 5.11
wcc: 6.7
hc: 46.1
hg: 15.6
ferr: 93
bmi: 22.32
ssf: 40.5
pcBfat: 6.86
lbm: 78.0
ht: 193.4
wt: 83.5
sex: m
sport: Swim", "rcc: 5.03
wcc: 7.1
hc: 45.1
hg: 15.2
ferr: 46
bmi: 24.02
ssf: 51.2
pcBfat: 9.4
lbm: 71.0
ht: 180.2
wt: 78.0
sex: m
sport: Swim", "rcc: 5.32
wcc: 6.0
hc: 47.5
hg: 16.3
ferr: 155
bmi: 23.29
ssf: 54.4
pcBfat: 9.17
lbm: 71.0
ht: 183.0
wt: 78.0
sex: m
sport: Swim", "rcc: 4.75
wcc: 8.6
hc: 45.5
hg: 15.2
ferr: 99
bmi: 25.11
ssf: 52.3
pcBfat: 8.54
lbm: 78.0
ht: 184.0
wt: 85.0
sex: m
sport: Swim", "rcc: 5.34
wcc: 6.6
hc: 48.6
hg: 16.5
ferr: 35
bmi: 22.81
ssf: 57.0
pcBfat: 9.2
lbm: 77.0
ht: 192.7
wt: 84.7
sex: m
sport: Swim", "rcc: 4.87
wcc: 4.8
hc: 44.9
hg: 15.4
ferr: 124
bmi: 26.25
ssf: 65.3
pcBfat: 11.72
lbm: 81.0
ht: 187.2
wt: 92.0
sex: m
sport: Swim", "rcc: 5.33
wcc: 5.2
hc: 47.8
hg: 16.1
ferr: 176
bmi: 21.38
ssf: 52.0
pcBfat: 8.44
lbm: 66.0
ht: 183.9
wt: 72.3
sex: m
sport: Swim", "rcc: 4.81
wcc: 6.2
hc: 45.2
hg: 15.3
ferr: 107
bmi: 22.52
ssf: 42.7
pcBfat: 7.19
lbm: 77.0
ht: 192.0
wt: 83.0
sex: m
sport: Swim", "rcc: 4.32
wcc: 4.3
hc: 41.6
hg: 14.0
ferr: 177
bmi: 26.73
ssf: 35.2
pcBfat: 6.46
lbm: 91.0
ht: 190.4
wt: 96.9
sex: m
sport: Swim", "rcc: 4.87
wcc: 8.2
hc: 43.8
hg: 15.0
ferr: 130
bmi: 23.57
ssf: 49.2
pcBfat: 9.0
lbm: 78.0
ht: 190.7
wt: 85.7
sex: m
sport: Row", "rcc: 5.04
wcc: 7.1
hc: 44.0
hg: 14.8
ferr: 64
bmi: 25.84
ssf: 61.8
pcBfat: 12.61
lbm: 75.0
ht: 181.8
wt: 85.4
sex: m
sport: Row", "rcc: 4.4
wcc: 5.3
hc: 42.5
hg: 14.5
ferr: 109
bmi: 24.06
ssf: 46.5
pcBfat: 9.03
lbm: 78.0
ht: 188.3
wt: 85.3
sex: m
sport: Row", "rcc: 4.95
wcc: 5.9
hc: 45.4
hg: 15.5
ferr: 125
bmi: 23.85
ssf: 34.8
pcBfat: 6.96
lbm: 87.0
ht: 198.0
wt: 93.5
sex: m
sport: Row", "rcc: 4.78
wcc: 9.3
hc: 43.0
hg: 14.7
ferr: 150
bmi: 25.09
ssf: 60.2
pcBfat: 10.05
lbm: 78.0
ht: 186.0
wt: 86.8
sex: m
sport: Row", "rcc: 5.21
wcc: 6.8
hc: 44.5
hg: 15.4
ferr: 115
bmi: 23.84
ssf: 48.1
pcBfat: 9.56
lbm: 79.0
ht: 192.0
wt: 87.9
sex: m
sport: Row", "rcc: 5.22
wcc: 8.4
hc: 47.5
hg: 16.2
ferr: 89
bmi: 25.31
ssf: 44.5
pcBfat: 9.36
lbm: 79.0
ht: 185.6
wt: 87.2
sex: m
sport: Row", "rcc: 5.18
wcc: 6.5
hc: 45.4
hg: 14.9
ferr: 93
bmi: 19.69
ssf: 54.0
pcBfat: 10.81
lbm: 48.0
ht: 165.3
wt: 53.8
sex: m
sport: Row", "rcc: 5.4
wcc: 6.8
hc: 49.5
hg: 17.3
ferr: 183
bmi: 26.07
ssf: 44.7
pcBfat: 8.61
lbm: 82.0
ht: 185.6
wt: 89.8
sex: m
sport: Row", "rcc: 4.92
wcc: 5.4
hc: 46.2
hg: 15.8
ferr: 84
bmi: 25.5
ssf: 64.9
pcBfat: 9.53
lbm: 82.0
ht: 189.0
wt: 91.1
sex: m
sport: Row", "rcc: 5.24
wcc: 7.5
hc: 46.5
hg: 15.5
ferr: 70
bmi: 23.69
ssf: 43.8
pcBfat: 7.42
lbm: 82.0
ht: 193.4
wt: 88.6
sex: m
sport: Row", "rcc: 5.09
wcc: 10.1
hc: 44.9
hg: 14.8
ferr: 118
bmi: 26.79
ssf: 58.3
pcBfat: 9.79
lbm: 83.0
ht: 185.6
wt: 92.3
sex: m
sport: Row", "rcc: 4.83
wcc: 5.0
hc: 43.8
hg: 15.1
ferr: 61
bmi: 25.61
ssf: 52.8
pcBfat: 8.97
lbm: 88.0
ht: 194.6
wt: 97.0
sex: m
sport: Row", "rcc: 5.22
wcc: 6.0
hc: 46.6
hg: 15.7
ferr: 72
bmi: 25.06
ssf: 43.1
pcBfat: 7.49
lbm: 83.0
ht: 189.0
wt: 89.5
sex: m
sport: Row", "rcc: 4.71
wcc: 8.0
hc: 45.5
hg: 15.6
ferr: 91
bmi: 24.93
ssf: 78.0
pcBfat: 11.95
lbm: 78.0
ht: 188.1
wt: 88.2
sex: m
sport: Row", "rcc: 5.24
wcc: 7.2
hc: 46.6
hg: 15.9
ferr: 58
bmi: 22.96
ssf: 40.8
pcBfat: 7.35
lbm: 85.0
ht: 200.4
wt: 92.2
sex: m
sport: B_Ball", "rcc: 4.54
wcc: 5.9
hc: 44.4
hg: 15.6
ferr: 97
bmi: 20.69
ssf: 41.5
pcBfat: 7.16
lbm: 73.0
ht: 195.3
wt: 78.9
sex: m
sport: B_Ball", "rcc: 5.13
wcc: 5.8
hc: 46.1
hg: 15.9
ferr: 110
bmi: 23.97
ssf: 50.9
pcBfat: 8.77
lbm: 82.0
ht: 194.1
wt: 90.3
sex: m
sport: B_Ball", "rcc: 5.0
wcc: 6.7
hc: 45.3
hg: 15.7
ferr: 72
bmi: 24.64
ssf: 49.6
pcBfat: 9.56
lbm: 79.0
ht: 187.9
wt: 87.0
sex: m
sport: B_Ball", "rcc: 5.17
wcc: 8.0
hc: 47.9
hg: 16.4
ferr: 36
bmi: 25.93
ssf: 88.9
pcBfat: 14.53
lbm: 97.0
ht: 209.4
wt: 113.7
sex: m
sport: B_Ball", "rcc: 4.89
wcc: 7.5
hc: 41.6
hg: 14.4
ferr: 53
bmi: 23.69
ssf: 48.3
pcBfat: 8.51
lbm: 90.0
ht: 203.4
wt: 98.0
sex: m
sport: B_Ball", "rcc: 4.5
wcc: 9.2
hc: 40.7
hg: 13.7
ferr: 72
bmi: 25.38
ssf: 61.8
pcBfat: 10.64
lbm: 90.0
ht: 198.7
wt: 100.2
sex: m
sport: B_Ball", "rcc: 4.84
wcc: 8.3
hc: 46.3
hg: 15.9
ferr: 39
bmi: 22.68
ssf: 43.0
pcBfat: 7.06
lbm: 74.0
ht: 187.1
wt: 79.4
sex: m
sport: B_Ball", "rcc: 4.13
wcc: 8.9
hc: 40.3
hg: 13.5
ferr: 61
bmi: 23.36
ssf: 61.1
pcBfat: 8.87
lbm: 82.0
ht: 196.6
wt: 90.3
sex: m
sport: B_Ball", "rcc: 4.87
wcc: 7.4
hc: 43.5
hg: 15.0
ferr: 49
bmi: 22.44
ssf: 43.8
pcBfat: 7.88
lbm: 72.0
ht: 186.1
wt: 77.7
sex: m
sport: B_Ball", "rcc: 4.82
wcc: 6.4
hc: 44.3
hg: 14.8
ferr: 35
bmi: 22.57
ssf: 54.2
pcBfat: 9.2
lbm: 76.0
ht: 192.8
wt: 83.9
sex: m
sport: B_Ball", "rcc: 4.73
wcc: 6.7
hc: 42.8
hg: 14.9
ferr: 8
bmi: 19.81
ssf: 41.8
pcBfat: 7.19
lbm: 70.0
ht: 195.2
wt: 75.5
sex: m
sport: B_Ball", "rcc: 4.55
wcc: 5.6
hc: 42.6
hg: 14.4
ferr: 106
bmi: 21.19
ssf: 34.1
pcBfat: 6.06
lbm: 57.0
ht: 169.1
wt: 60.6
sex: m
sport: T_400m", "rcc: 4.71
wcc: 7.2
hc: 43.6
hg: 14.0
ferr: 32
bmi: 20.39
ssf: 30.5
pcBfat: 5.63
lbm: 67.0
ht: 186.6
wt: 71.0
sex: m
sport: T_400m", "rcc: 4.93
wcc: 7.3
hc: 46.2
hg: 15.1
ferr: 41
bmi: 21.12
ssf: 34.0
pcBfat: 6.59
lbm: 67.0
ht: 184.4
wt: 71.8
sex: m
sport: T_400m", "rcc: 5.21
wcc: 7.5
hc: 47.5
hg: 16.5
ferr: 20
bmi: 21.89
ssf: 46.7
pcBfat: 9.5
lbm: 70.0
ht: 187.3
wt: 76.8
sex: m
sport: T_400m", "rcc: 5.09
wcc: 8.9
hc: 46.3
hg: 15.4
ferr: 44
bmi: 29.97
ssf: 71.1
pcBfat: 13.97
lbm: 88.0
ht: 185.1
wt: 102.7
sex: m
sport: Field", "rcc: 5.11
wcc: 9.6
hc: 48.2
hg: 16.7
ferr: 103
bmi: 27.39
ssf: 65.9
pcBfat: 11.66
lbm: 83.0
ht: 185.5
wt: 94.2
sex: m
sport: Field", "rcc: 4.94
wcc: 6.3
hc: 45.7
hg: 15.5
ferr: 50
bmi: 23.11
ssf: 34.3
pcBfat: 6.43
lbm: 74.0
ht: 184.9
wt: 79.0
sex: m
sport: Field", "rcc: 4.87
wcc: 6.3
hc: 45.8
hg: 16.1
ferr: 41
bmi: 21.75
ssf: 34.6
pcBfat: 6.99
lbm: 62.0
ht: 175.0
wt: 66.6
sex: m
sport: T_400m", "rcc: 4.41
wcc: 4.5
hc: 44.2
hg: 15.0
ferr: 101
bmi: 20.89
ssf: 31.8
pcBfat: 6.0
lbm: 67.0
ht: 185.4
wt: 71.8
sex: m
sport: T_400m", "rcc: 4.86
wcc: 3.9
hc: 44.9
hg: 15.4
ferr: 73
bmi: 22.83
ssf: 34.5
pcBfat: 6.56
lbm: 70.0
ht: 181.0
wt: 74.8
sex: m
sport: T_400m", "rcc: 4.91
wcc: 9.0
hc: 46.3
hg: 15.4
ferr: 56
bmi: 22.02
ssf: 31.0
pcBfat: 6.03
lbm: 64.0
ht: 176.0
wt: 68.2
sex: m
sport: T_400m", "rcc: 4.93
wcc: 7.3
hc: 45.2
hg: 15.8
ferr: 74
bmi: 20.07
ssf: 32.6
pcBfat: 6.33
lbm: 58.0
ht: 176.2
wt: 62.3
sex: m
sport: T_400m", "rcc: 4.2
wcc: 4.5
hc: 41.2
hg: 14.3
ferr: 58
bmi: 20.15
ssf: 31.5
pcBfat: 6.82
lbm: 57.0
ht: 174.0
wt: 61.0
sex: m
sport: T_400m", "rcc: 5.1
wcc: 6.1
hc: 45.3
hg: 14.9
ferr: 87
bmi: 21.24
ssf: 32.6
pcBfat: 6.2
lbm: 73.0
ht: 191.0
wt: 77.5
sex: m
sport: T_400m", "rcc: 4.5
wcc: 6.1
hc: 42.2
hg: 14.7
ferr: 139
bmi: 19.63
ssf: 31.0
pcBfat: 5.93
lbm: 54.0
ht: 171.0
wt: 57.4
sex: m
sport: T_400m", "rcc: 4.89
wcc: 5.8
hc: 45.5
hg: 15.6
ferr: 82
bmi: 23.58
ssf: 28.0
pcBfat: 5.8
lbm: 67.0
ht: 174.0
wt: 71.4
sex: m
sport: T_Sprnt", "rcc: 5.13
wcc: 4.0
hc: 44.1
hg: 15.2
ferr: 87
bmi: 21.65
ssf: 33.7
pcBfat: 6.56
lbm: 66.0
ht: 180.2
wt: 70.3
sex: m
sport: T_Sprnt", "rcc: 4.88
wcc: 4.3
hc: 45.6
hg: 15.5
ferr: 80
bmi: 25.17
ssf: 30.3
pcBfat: 6.76
lbm: 75.0
ht: 178.5
wt: 80.2
sex: m
sport: T_Sprnt", "rcc: 5.0
wcc: 8.2
hc: 46.8
hg: 14.7
ferr: 67
bmi: 23.25
ssf: 38.0
pcBfat: 7.22
lbm: 78.0
ht: 190.3
wt: 84.2
sex: m
sport: Field", "rcc: 5.48
wcc: 4.6
hc: 49.4
hg: 18.0
ferr: 132
bmi: 32.52
ssf: 55.7
pcBfat: 8.51
lbm: 102.0
ht: 185.0
wt: 111.3
sex: m
sport: Field", "rcc: 5.93
wcc: 6.4
hc: 49.1
hg: 16.1
ferr: 43
bmi: 22.59
ssf: 37.5
pcBfat: 7.72
lbm: 74.0
ht: 189.0
wt: 80.7
sex: m
sport: Field", "rcc: 5.01
wcc: 8.9
hc: 46.0
hg: 15.9
ferr: 212
bmi: 30.18
ssf: 112.5
pcBfat: 19.94
lbm: 78.0
ht: 180.1
wt: 97.9
sex: m
sport: Field", "rcc: 5.48
wcc: 6.2
hc: 48.2
hg: 16.3
ferr: 94
bmi: 34.42
ssf: 82.7
pcBfat: 13.91
lbm: 106.0
ht: 189.2
wt: 123.2
sex: m
sport: Field", "rcc: 5.16
wcc: 8.4
hc: 44.4
hg: 15.5
ferr: 213
bmi: 21.86
ssf: 29.7
pcBfat: 6.1
lbm: 68.0
ht: 182.6
wt: 72.9
sex: m
sport: T_Sprnt", "rcc: 4.64
wcc: 9.0
hc: 42.9
hg: 14.9
ferr: 122
bmi: 23.99
ssf: 38.9
pcBfat: 7.52
lbm: 77.0
ht: 186.0
wt: 83.0
sex: m
sport: T_Sprnt", "rcc: 6.72
wcc: 7.1
hc: 59.7
hg: 19.2
ferr: 76
bmi: 24.81
ssf: 44.8
pcBfat: 9.56
lbm: 69.0
ht: 174.9
wt: 75.9
sex: m
sport: T_Sprnt", "rcc: 4.83
wcc: 6.6
hc: 43.8
hg: 14.3
ferr: 53
bmi: 21.68
ssf: 30.9
pcBfat: 6.06
lbm: 66.0
ht: 180.6
wt: 70.7
sex: m
sport: T_400m", "rcc: 5.34
wcc: 7.6
hc: 48.3
hg: 16.2
ferr: 91
bmi: 21.04
ssf: 44.0
pcBfat: 7.35
lbm: 62.0
ht: 178.6
wt: 67.1
sex: m
sport: T_400m", "rcc: 5.13
wcc: 4.6
hc: 45.3
hg: 16.8
ferr: 36
bmi: 23.12
ssf: 37.5
pcBfat: 6.0
lbm: 65.0
ht: 173.0
wt: 69.2
sex: m
sport: T_400m", "rcc: 4.68
wcc: 4.8
hc: 43.0
hg: 14.8
ferr: 101
bmi: 20.76
ssf: 37.6
pcBfat: 6.92
lbm: 62.0
ht: 179.7
wt: 67.1
sex: m
sport: T_400m", "rcc: 5.0
wcc: 5.2
hc: 45.1
hg: 15.1
ferr: 184
bmi: 23.13
ssf: 31.7
pcBfat: 6.33
lbm: 66.0
ht: 174.6
wt: 70.5
sex: m
sport: T_Sprnt", "rcc: 4.99
wcc: 7.2
hc: 41.4
hg: 14.9
ferr: 44
bmi: 22.35
ssf: 36.6
pcBfat: 5.9
lbm: 67.0
ht: 178.0
wt: 70.8
sex: m
sport: T_Sprnt", "rcc: 5.49
wcc: 5.9
hc: 47.7
hg: 15.9
ferr: 66
bmi: 22.28
ssf: 48.0
pcBfat: 8.84
lbm: 65.0
ht: 178.5
wt: 71.0
sex: m
sport: T_400m", "rcc: 5.59
wcc: 7.9
hc: 49.7
hg: 17.2
ferr: 220
bmi: 23.55
ssf: 41.9
pcBfat: 8.94
lbm: 63.0
ht: 171.3
wt: 69.1
sex: m
sport: T_Sprnt", "rcc: 5.03
wcc: 6.6
hc: 44.7
hg: 15.9
ferr: 191
bmi: 19.85
ssf: 30.9
pcBfat: 6.53
lbm: 59.0
ht: 178.0
wt: 62.9
sex: m
sport: T_400m", "rcc: 5.5
wcc: 6.4
hc: 48.1
hg: 16.5
ferr: 40
bmi: 26.51
ssf: 52.8
pcBfat: 9.4
lbm: 86.0
ht: 189.1
wt: 94.8
sex: m
sport: T_Sprnt", "rcc: 5.11
wcc: 9.3
hc: 45.4
hg: 15.8
ferr: 189
bmi: 24.78
ssf: 43.2
pcBfat: 8.18
lbm: 87.0
ht: 195.4
wt: 94.6
sex: m
sport: Field", "rcc: 4.96
wcc: 8.3
hc: 45.3
hg: 15.7
ferr: 141
bmi: 33.73
ssf: 113.5
pcBfat: 17.41
lbm: 89.0
ht: 179.1
wt: 108.2
sex: m
sport: Field", "rcc: 5.01
wcc: 8.9
hc: 46.0
hg: 15.9
ferr: 212
bmi: 30.18
ssf: 96.9
pcBfat: 18.08
lbm: 80.0
ht: 180.1
wt: 97.9
sex: m
sport: Field", "rcc: 5.11
wcc: 8.7
hc: 46.5
hg: 16.3
ferr: 97
bmi: 23.31
ssf: 49.3
pcBfat: 9.86
lbm: 68.0
ht: 179.6
wt: 75.2
sex: m
sport: Field", "rcc: 5.69
wcc: 10.8
hc: 50.5
hg: 18.5
ferr: 53
bmi: 24.51
ssf: 42.3
pcBfat: 7.29
lbm: 69.0
ht: 174.7
wt: 74.8
sex: m
sport: T_Sprnt", "rcc: 4.63
wcc: 9.1
hc: 42.1
hg: 14.4
ferr: 126
bmi: 25.37
ssf: 96.3
pcBfat: 18.72
lbm: 77.0
ht: 192.7
wt: 94.2
sex: m
sport: W_Polo", "rcc: 4.91
wcc: 10.2
hc: 45.0
hg: 15.2
ferr: 234
bmi: 23.67
ssf: 56.5
pcBfat: 10.12
lbm: 68.0
ht: 179.3
wt: 76.1
sex: m
sport: W_Polo", "rcc: 4.95
wcc: 7.5
hc: 44.5
hg: 15.0
ferr: 50
bmi: 24.28
ssf: 105.7
pcBfat: 19.17
lbm: 77.0
ht: 197.5
wt: 94.7
sex: m
sport: W_Polo", "rcc: 5.34
wcc: 10.0
hc: 46.8
hg: 16.2
ferr: 94
bmi: 25.82
ssf: 100.7
pcBfat: 17.24
lbm: 71.0
ht: 182.7
wt: 86.2
sex: m
sport: W_Polo", "rcc: 5.16
wcc: 12.9
hc: 47.6
hg: 15.6
ferr: 156
bmi: 21.93
ssf: 56.8
pcBfat: 9.89
lbm: 72.0
ht: 190.5
wt: 79.6
sex: m
sport: W_Polo", "rcc: 5.29
wcc: 12.7
hc: 48.0
hg: 16.2
ferr: 124
bmi: 23.38
ssf: 75.9
pcBfat: 13.06
lbm: 74.0
ht: 191.0
wt: 85.3
sex: m
sport: W_Polo", "rcc: 5.02
wcc: 6.1
hc: 43.6
hg: 14.8
ferr: 87
bmi: 23.07
ssf: 52.8
pcBfat: 8.84
lbm: 68.0
ht: 179.6
wt: 74.4
sex: m
sport: W_Polo", "rcc: 5.01
wcc: 9.8
hc: 46.5
hg: 15.8
ferr: 97
bmi: 25.21
ssf: 47.8
pcBfat: 8.87
lbm: 85.0
ht: 192.6
wt: 93.5
sex: m
sport: W_Polo", "rcc: 5.03
wcc: 7.5
hc: 43.6
hg: 14.4
ferr: 102
bmi: 23.25
ssf: 76.0
pcBfat: 14.69
lbm: 75.0
ht: 194.1
wt: 87.6
sex: m
sport: W_Polo", "rcc: 5.25
wcc: 7.4
hc: 47.3
hg: 15.8
ferr: 55
bmi: 22.93
ssf: 61.2
pcBfat: 8.64
lbm: 78.0
ht: 193.0
wt: 85.4
sex: m
sport: W_Polo", "rcc: 5.08
wcc: 8.5
hc: 46.3
hg: 15.6
ferr: 117
bmi: 26.86
ssf: 75.6
pcBfat: 14.98
lbm: 86.0
ht: 193.9
wt: 101.0
sex: m
sport: W_Polo", "rcc: 5.04
wcc: 6.0
hc: 45.9
hg: 15.0
ferr: 52
bmi: 21.26
ssf: 43.3
pcBfat: 7.82
lbm: 69.0
ht: 187.7
wt: 74.9
sex: m
sport: W_Polo", "rcc: 4.63
wcc: 14.3
hc: 44.8
hg: 15.0
ferr: 133
bmi: 25.43
ssf: 49.5
pcBfat: 8.97
lbm: 79.0
ht: 185.3
wt: 87.3
sex: m
sport: W_Polo", "rcc: 5.11
wcc: 7.0
hc: 47.7
hg: 15.8
ferr: 214
bmi: 24.54
ssf: 70.0
pcBfat: 11.63
lbm: 80.0
ht: 191.5
wt: 90.0
sex: m
sport: W_Polo", "rcc: 5.34
wcc: 6.2
hc: 49.8
hg: 17.2
ferr: 143
bmi: 27.79
ssf: 75.7
pcBfat: 13.49
lbm: 82.0
ht: 184.6
wt: 94.7
sex: m
sport: W_Polo", "rcc: 4.86
wcc: 8.9
hc: 46.9
hg: 15.8
ferr: 65
bmi: 23.58
ssf: 57.7
pcBfat: 10.25
lbm: 68.0
ht: 179.9
wt: 76.3
sex: m
sport: W_Polo", "rcc: 4.9
wcc: 7.6
hc: 45.6
hg: 16.0
ferr: 90
bmi: 27.56
ssf: 67.2
pcBfat: 11.79
lbm: 82.0
ht: 183.9
wt: 93.2
sex: m
sport: W_Polo", "rcc: 5.66
wcc: 8.3
hc: 50.2
hg: 17.7
ferr: 38
bmi: 23.76
ssf: 56.5
pcBfat: 10.05
lbm: 72.0
ht: 183.5
wt: 80.0
sex: m
sport: Tennis", "rcc: 5.03
wcc: 6.4
hc: 42.7
hg: 14.3
ferr: 122
bmi: 22.01
ssf: 47.6
pcBfat: 8.51
lbm: 68.0
ht: 183.1
wt: 73.8
sex: m
sport: Tennis", "rcc: 4.97
wcc: 8.8
hc: 43.0
hg: 14.9
ferr: 233
bmi: 22.34
ssf: 60.4
pcBfat: 11.5
lbm: 63.0
ht: 178.4
wt: 71.1
sex: m
sport: Tennis", "rcc: 5.38
wcc: 6.3
hc: 46.0
hg: 15.7
ferr: 32
bmi: 21.07
ssf: 34.9
pcBfat: 6.26
lbm: 72.0
ht: 190.8
wt: 76.7
sex: m
sport: Tennis" ], "type": "scatter", "uid": "d1ab7a8d-c001-4658-833a-997cb68aa576", "x": [ 3.492825984954834, 3.0619101524353027, 4.035181045532227, 3.3974649906158447, 3.0490682125091553, 2.4756107330322266, 2.1710562705993652, 3.563791513442993, 2.5394747257232666, 2.251049518585205, 4.151418685913086, 3.2297775745391846, 4.005229473114014, 3.6665494441986084, 3.887010335922241, 3.8399758338928223, 4.20262336730957, 2.448453903198242, 3.689060926437378, 3.0353777408599854, 2.766634941101074, 2.6836280822753906, 1.7025766372680664, 3.2685396671295166, 1.684516191482544, -1.3937747478485107, 4.193456172943115, 2.9981529712677, 1.023088812828064, 2.963599443435669, 2.8504788875579834, 3.5496222972869873, 4.211691379547119, 4.227095127105713, 3.66367769241333, 0.6024991273880005, 3.2813379764556885, 3.739746570587158, 3.879225254058838, 3.1144204139709473, 3.724811553955078, 2.7098636627197266, 3.4723873138427734, 2.9404640197753906, 3.474766969680786, 3.4063661098480225, 1.4182014465332031, 1.3993161916732788, 4.165643215179443, 1.798673391342163, 3.3560268878936768, 2.772385358810425, 3.69346284866333, 2.407104015350342, 4.0818305015563965, 3.8788092136383057, 2.3601300716400146, 3.271357774734497, 1.1996870040893555, 0.991527259349823, 1.9293447732925415, 3.8163607120513916, 0.0998077541589737, 0.8243170976638794, 1.0514793395996094, 0.012630478478968143, 0.07750797271728516, 0.6072213053703308, 1.0562103986740112, -2.8802578449249268, 3.534071683883667, 4.2445173263549805, 4.051630020141602, 3.1367764472961426, 3.0268495082855225, 0.7662163972854614, 0.2887314260005951, 0.5395615100860596, 2.2984402179718018, 0.4208240509033203, 1.4113543033599854, 0.5250065922737122, 1.0992412567138672, 0.8239040970802307, 0.5763725638389587, 0.5824856758117676, 0.26748180389404297, 0.5580140352249146, 0.43185555934906006, 3.264864921569824, 2.717721700668335, 1.1734925508499146, -3.3298866748809814, 0.521340548992157, 0.7930978536605835, -0.015342343598604202, 0.5303720235824585, 0.6249252557754517, 0.5030776262283325, 0.6347694396972656, 0.01623436249792576, -0.8396194577217102, -1.6807998418807983, -2.415281057357788, -1.5627148151397705, -1.9519153833389282, -2.9259095191955566, -1.9293887615203857, -2.275413751602173, -2.4907801151275635, -3.2593841552734375, -1.6504135131835938, -2.9937639236450195, -1.9529671669006348, -2.2117369174957275, -1.9066052436828613, -1.9615815877914429, -2.6436660289764404, -1.9670872688293457, -1.7737314701080322, 0.3639255166053772, -3.0721051692962646, -2.6421337127685547, -2.628202199935913, -2.348174571990967, -2.7053849697113037, -2.515608072280884, -2.7562074661254883, -2.6916136741638184, -1.3848934173583984, -2.1479830741882324, -2.5202934741973877, -2.6488027572631836, -2.695491075515747, -2.8489181995391846, -1.8428415060043335, -2.6226539611816406, -1.6684099435806274, -2.20757794380188, -1.3580176830291748, -0.46774446964263916, -1.1276774406433105, -1.1496775150299072, -1.3724360466003418, -2.6221354007720947, -2.6944262981414795, -1.6177740097045898, -0.6864462494850159, -0.8891147375106812, -1.284202218055725, -1.1065250635147095, -0.9497678279876709, -0.6233571171760559, -1.3160940408706665, -0.18241578340530396, -1.1472172737121582, -0.9931394457817078, -1.312789797782898, -2.4802780151367188, -2.7144458293914795, -1.607876181602478, -2.8153836727142334, -2.788468837738037, -3.2597272396087646, -1.7681243419647217, -1.3681977987289429, -1.1477264165878296, -0.7897797226905823, -0.47022563219070435, -0.687469482421875, -3.316840171813965, -0.8877252340316772, -1.3355475664138794, -3.1025619506835938, -3.293959617614746, -2.4418327808380127, -3.089886426925659, -2.8963663578033447, -2.814317226409912, -1.0501139163970947, -1.5630062818527222, -2.856163740158081, -3.010697364807129, 3.738327741622925, 2.416015863418579, -2.955843448638916, -2.6038918495178223, -1.1699632406234741, -1.9331834316253662, -2.6568918228149414, -2.375462532043457, -2.7620749473571777, -1.5779832601547241, -2.040562152862549, -2.9427318572998047, -2.7397382259368896, -1.57820463180542, -2.692657232284546, -2.0754683017730713, -1.6575534343719482, -3.019134998321533, -1.4750727415084839 ], "y": [ -0.9498045444488525, -1.0361356735229492, 0.8213448524475098, -1.485374093055725, 1.5583165884017944, 1.910773754119873, -1.0362542867660522, 0.24095414578914642, 1.7164394855499268, 1.8119672536849976, -1.46803879737854, 1.5048354864120483, 0.36353227496147156, -0.14986392855644226, 0.7793942093849182, 0.6679583787918091, -0.9572057723999023, 1.9098289012908936, -0.4497658610343933, -0.5906237959861755, 1.7208925485610962, 1.845594882965088, -1.1273794174194336, 0.17012560367584229, -1.0014348030090332, 0.096395343542099, -0.3165622651576996, -1.1419131755828857, 0.040838781744241714, -1.4588556289672852, -0.7585412263870239, 1.2452356815338135, -0.35476407408714294, -0.9482353329658508, 1.137353539466858, 2.5393078327178955, -0.7489833831787109, 1.032293677330017, 0.729438066482544, -1.5601109266281128, 1.069466233253479, -1.5295621156692505, -1.8344943523406982, -0.9374285340309143, -1.280181884765625, -1.1659337282180786, -0.9033841490745544, -1.123315453529358, -1.3599700927734375, 0.8888626098632812, -1.8134084939956665, -1.7168219089508057, -1.765876054763794, 1.8779624700546265, -1.3798165321350098, -1.6241397857666016, 2.0447630882263184, -0.4269314706325531, -0.7657248377799988, 2.271928310394287, -1.164494514465332, 0.9705479741096497, 2.4298667907714844, 2.4792587757110596, 0.967021107673645, -1.1946704387664795, -1.1824208498001099, 1.1624350547790527, 2.4775760173797607, -3.463207721710205, -0.3436465561389923, -1.1901116371154785, -0.2717338502407074, -0.6904934048652649, -1.7220633029937744, 2.362877130508423, 2.16871976852417, 1.4817650318145752, 1.666429042816162, 1.3123483657836914, 2.3704452514648438, 1.4592236280441284, 2.325263023376465, 2.435831308364868, 0.9869186878204346, 1.4774452447891235, 1.8731075525283813, 1.976758360862732, 1.9674450159072876, -0.6201494336128235, -0.979051947593689, -0.7233505845069885, -4.351799488067627, 0.04520488157868385, -0.7216160893440247, -1.0569719076156616, 0.6050419211387634, 1.3821502923965454, 0.6704021692276001, 0.5862403512001038, 2.2950313091278076, -1.0207679271697998, 1.5888150930404663, -0.026012267917394638, -1.5753966569900513, 1.597687005996704, -3.8357648849487305, -1.803829312324524, 1.6326138973236084, -2.8876447677612305, -4.263708591461182, -2.132068157196045, -4.125189781188965, -2.9048593044281006, 0.3286236822605133, -2.3480639457702637, -2.6975300312042236, -3.6628105640411377, -2.5129234790802, -1.5438300371170044, -0.7755712866783142, -4.21411657333374, -1.6108728647232056, -0.16388803720474243, -2.712599515914917, 0.4121277928352356, -0.13071635365486145, -1.8951935768127441, 0.2672562897205353, -1.5672568082809448, -2.347060203552246, -0.13446584343910217, 0.9363422393798828, 0.4732099771499634, 0.1313885897397995, 1.933523416519165, 0.3459818959236145, 1.6383988857269287, 1.7116029262542725, 2.343458414077759, -1.1096547842025757, 2.033252716064453, 1.9401094913482666, 2.237720489501953, 0.966741681098938, -2.2075679302215576, 1.728318691253662, 1.933681607246399, -1.188602328300476, -0.3980411887168884, 1.5480124950408936, -0.22504806518554688, 1.315081000328064, -1.0432339906692505, -1.3371084928512573, -0.5969027280807495, -0.8209006786346436, -0.6450186371803284, -0.08199946582317352, -2.759718894958496, 1.8312256336212158, -4.571961402893066, -2.2103593349456787, -4.554901123046875, -2.647059202194214, -0.13945849239826202, 1.692463755607605, -0.9556783437728882, 2.1485424041748047, -1.1177839040756226, -4.282937526702881, 2.00471830368042, 0.19773778319358826, -4.641358852386475, -4.481120586395264, 1.2378110885620117, -4.310406684875488, -3.1326143741607666, -4.682939529418945, -1.3503819704055786, 1.438547134399414, -3.0004329681396484, -4.72694206237793, -0.4915771484375, -1.57393479347229, -3.9084630012512207, -2.95782208442688, -1.1004371643066406, -1.818164587020874, -2.289996385574341, 0.7158792018890381, -2.6936192512512207, 1.721739649772644, -2.976330041885376, -4.769964694976807, -3.2881548404693604, 0.27930551767349243, -1.925026774406433, 1.6045728921890259, -2.572242498397827, -4.658261775970459, 2.153048038482666 ] } ], "layout": { "hovermode": "closest", "title": { "text": "Australian Athletes Data by Gender - UMAP" } } }, "text/html": [ "
\n", " \n", " \n", "
\n", " \n", "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "title = \"Australian Athletes Data by Gender - UMAP\"\n", "\n", "text = []\n", "for row in data.iterrows():\n", " tooltip = \"
\".join([f\"{k}: {row[1][k]}\" for k in row[1].index])\n", " text.append(tooltip)\n", "\n", "fig_data = [\n", " go.Scatter(\n", " x=data_all[\"Component 1\"],\n", " y=data_all[\"Component 2\"],\n", " text=text,\n", " mode=\"markers\",\n", " hoverinfo=\"text\",\n", " marker={\"color\": data_all[\"color\"], \"colorscale\" : \"RdBu\"},\n", " )\n", "]\n", "\n", "layout = {\"hovermode\": \"closest\", \"title\" : title}\n", "\n", "figure = go.Figure(data=fig_data, layout=layout)\n", "\n", "iplot(figure)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 1 }