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Data Science and Sports

Samira Kumar samirak93

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Data Science and Sports
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View bokeh_plots.py
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
View geojson.html
<!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"/>
View myfile.geojson
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View CENSUS_INCOME.csv
We can make this file beautiful and searchable if this error is corrected: It looks like row 9 should actually have 15 columns, instead of 4. in line 8.
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
View plotly_football_pitch.py
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]
)
View index.html
<!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>
@samirak93
samirak93 / index.html
Last active Jul 16, 2017
Cognitive Biases Interactive Map
View index.html
<!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>
@samirak93
samirak93 / index.html
Last active Jul 18, 2017
LFC 2016/17 PL Chance Combinations
View index.html
<!DOCTYPE html>
<meta charset="utf-8">
<title>Liverpool FC Chance Combinations (2016-17)</title>
<style>
body {
font: 10px verdana;
}
svg text{
fill:grey;