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@zhonglism
zhonglism / Rental.py
Last active April 23, 2017 02:21
Rental price data on map
# coding: utf-8
# In[31]:
import gmplot
import folium
import pandas as pd
@zhonglism
zhonglism / ucdavis.csv
Created April 22, 2017 02:39
Some students data
gender tv computer sleep height momheight dadheight exercise gpa
Female 13.0 10.0 3.50 66.0 66.0 71.0 10.0 4.000
Male 20.0 7.0 9.00 72.0 64.0 65.0 2.0 2.300
Male 15.0 15.0 6.00 68.0 62.0 74.0 3.0 2.600
Male 8.0 20.0 6.00 68.0 59.0 70.0 6.0 2.800
Female 2.5 10.0 5.00 64.0 65.0 70.0 6.5 2.620
Male 2.0 14.0 9.00 68.5 60.0 68.0 2.0 2.200
Female 4.0 28.0 8.50 69.0 66.0 76.0 3.0 3.780
Female 8.0 10.0 7.00 66.0 63.0 70.0 4.5 3.200
Male 1.0 15.0 8.00 70.0 68.0 71.0 3.0 3.310
We can't make this file beautiful and searchable because it's too large.
Rank,Name,Platform,Year,Genre,Publisher,NA_Sales,EU_Sales,JP_Sales,Other_Sales,Global_Sales
1,Wii Sports,Wii,2006,Sports,Nintendo,41.49,29.02,3.77,8.46,82.74
2,Super Mario Bros.,NES,1985,Platform,Nintendo,29.08,3.58,6.81,0.77,40.24
3,Mario Kart Wii,Wii,2008,Racing,Nintendo,15.85,12.88,3.79,3.31,35.82
4,Wii Sports Resort,Wii,2009,Sports,Nintendo,15.75,11.01,3.28,2.96,33
5,Pokemon Red/Pokemon Blue,GB,1996,Role-Playing,Nintendo,11.27,8.89,10.22,1,31.37
6,Tetris,GB,1989,Puzzle,Nintendo,23.2,2.26,4.22,0.58,30.26
7,New Super Mario Bros.,DS,2006,Platform,Nintendo,11.38,9.23,6.5,2.9,30.01
8,Wii Play,Wii,2006,Misc,Nintendo,14.03,9.2,2.93,2.85,29.02
9,New Super Mario Bros. Wii,Wii,2009,Platform,Nintendo,14.59,7.06,4.7,2.26,28.62
@zhonglism
zhonglism / ign.csv
Created April 12, 2017 18:31
ign in mlproject
We can't make this file beautiful and searchable because it's too large.
,score_phrase,title,url,platform,score,genre,editors_choice,release_year,release_month,release_day
0,Amazing,LittleBigPlanet PS Vita,/games/littlebigplanet-vita/vita-98907,PlayStation Vita,9.0,Platformer,Y,2012,9,12
1,Amazing,LittleBigPlanet PS Vita -- Marvel Super Hero Edition,/games/littlebigplanet-ps-vita-marvel-super-hero-edition/vita-20027059,PlayStation Vita,9.0,Platformer,Y,2012,9,12
2,Great,Splice: Tree of Life,/games/splice/ipad-141070,iPad,8.5,Puzzle,N,2012,9,12
3,Great,NHL 13,/games/nhl-13/xbox-360-128182,Xbox 360,8.5,Sports,N,2012,9,11
4,Great,NHL 13,/games/nhl-13/ps3-128181,PlayStation 3,8.5,Sports,N,2012,9,11
5,Good,Total War Battles: Shogun,/games/total-war-battles-shogun/mac-142565,Macintosh,7.0,Strategy,N,2012,9,11
6,Awful,Double Dragon: Neon,/games/double-dragon-neon/xbox-360-131320,Xbox 360,3.0,Fighting,N,2012,9,11
7,Amazing,Guild Wars 2,/games/guild-wars-2/pc-896298,PC,9.0,RPG,Y,2012,9,11
8,Awful,Double Dragon: Neon,/games/double-dragon-neon/ps3-131321,PlayStation 3,3.0,Fighting,N,2012,9,1
@zhonglism
zhonglism / mlproject.py
Last active September 7, 2021 23:07
mlproject script
import pandas as pd
import numpy as np
import pandas as pd
import io
import requests
ign_url='https://gist.githubusercontent.com/zhonglism/09e35db741cd0ad2ac5162bb02d246ae/raw/e9f45068bfb80d2be0264045d652110a79ffe092/ign.csv'
vgsale_url="https://gist.githubusercontent.com/zhonglism/f146a9423e2c975de8d03c26451f841e/raw/f79e190df4225caed58bf360d8e20a9fa872b4ac/vgsales.csv"
ign_con=requests.get(ign_url).content
{
"name": "Mike and Marcia",
"children": [
{
"name": "Children",
"children": [
{ "name": "Mikael" }
]
},
{
CountryCode CountryName LifeExp FertRate Population Region
ABW Aruba 75.33217073 1.673 102911 Latin America & Caribbean
AFG Afghanistan 60.93141463 4.9 30551674 South Asia
AGO Angola 51.86617073 5.863 21471618 Sub-Saharan Africa
ALB Albania 77.5372439 1.771 2897366 Europe & Central Asia
ARE United Arab Emirates 77.13129268 1.801 9346129 Middle East & North Africa
ARG Argentina 76.18729268 2.175 41446246 Latin America & Caribbean
ARM Armenia 74.5407561 1.74 2976566 Europe & Central Asia
ATG Antigua and Barbuda 75.82929268 2.089 89985 Latin America & Caribbean
AUS Australia 82.19756098 1.921 23125868 East Asia & Pacific
[
{
"Season": 5,
"Episode": 1,
"SeriesNumber": 52,
"Title": "No Sanctuary",
"FirstAirDate": "10-12-2014",
"USViewers": 17290000
},
{
date,close,open
1-May-12,58.13,3.41
30-Apr-12,53.98,4.55
27-Apr-12,67.00,6.78
26-Apr-12,89.70,7.85
25-Apr-12,99.00,8.92
24-Apr-12,130.28,9.92
23-Apr-12,166.70,10.13
20-Apr-12,234.98,12.23
19-Apr-12,345.44,13.45
@zhonglism
zhonglism / stock_bar
Created March 1, 2017 05:28
A bar chart plotted by D3
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<title>JS Bin</title>
</head>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>