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from bokeh.io import output_file, show, output_notebook, save | |
from bokeh.models import ( | |
ColumnDataSource, LabelSet, FactorRange, BasicTicker, ColorBar, LinearColorMapper, PrintfTickFormatter) | |
from bokeh.plotting import figure | |
from bokeh.palettes import Category20, Viridis256 | |
from bokeh.layouts import column | |
import pandas as pd | |
import os |
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<!DOCTYPE html> | |
<head> | |
<meta http-equiv="content-type" content="text/html; charset=UTF-8" /> | |
<script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script> | |
<script src="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js"></script> | |
<script src="https://code.jquery.com/jquery-1.12.4.min.js"></script> | |
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script> | |
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.css"/> | |
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/> |
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Age,workclass,fnlwgt,Education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native country,Census Income | |
39, State-gov,77516, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K | |
50, Self-emp-not-inc,83311, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,13, United-States, <=50K | |
38, Private,215646, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K | |
53, Private,234721, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K | |
28, Private,338409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, Cuba, <=50K | |
37, Private,284582, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K | |
49, Private,160187, 9th,5, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,16, Jamaica, <=50K | |
52, Self-emp-not-inc,209642, HS |
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import plotly.plotly as py | |
import plotly.graph_objs as go | |
import plotly.offline as offline | |
offline.init_notebook_mode() | |
midpoint_trace = go.Scatter( | |
x=[0], | |
y=[0] | |
) |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html;charset=utf-10"> | |
<title>Node-Link Tree</title> | |
<link href="interactive_tree.css" rel="stylesheet" type="text/css" /> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.27.2"></script> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?1.27.2"></script> | |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html;charset=utf-8"> | |
<title>Node-Link Tree</title> | |
<link href="interactive_tree.css" rel="stylesheet" type="text/css" /> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.27.2"></script> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?1.27.2"></script> | |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<title>Liverpool FC Chance Combinations (2016-17)</title> | |
<style> | |
body { | |
font: 10px verdana; | |
} | |
svg text{ | |
fill:grey; |