zhonglism

## tweets.json
{
"tweets": [
{"user": "Al", "content": "I really love seafood.",
"timestamp": " Mon Dec 23 2013 21:30 GMT-0800 (PST)",
"retweets": ["Raj","Pris","Roy"], "favorites": ["Sam"]},
{"user": "Al", "content": "I take that back, this doesn't taste so good.",
"timestamp": "Mon Dec 23 2013 21:55 GMT-0800 (PST)",
"retweets": ["Roy"], "favorites": []},
{"user": "Al",
"content": "From now on, I'm only eating cheese sandwiches.",

## cities.csv

          
            label
            population
            country
            x
            y

            
              San Francisco
               750000
              USA
              122
              -37

            
              Fresno
               500000
              USA
              119
              -36

            
              Lahore
              12500000
              Pakistan
              74
              31

            
              Karachi
              13000000
              Pakistan
              67
              24

            
              Rome
              2500000
              Italy
              12
              41

            
              Naples
              1000000
              Italy
              14
              40

            
              Rio
              12300000
              Brazil
              -43
              -22

            
              Sao Paolo
              12300000
              Brazil
              -46
              -23

## worldcup.csv

          
            team
            region
            win
            loss
            draw
            points
            gf
            ga
            cs
            yc
            rc

            
              Netherlands
              UEFA
              6
              0
              1
              18
              12
              6
              2
              23
              1

            
              Spain
              UEFA
              6
              0
              1
              18
              8
              2
              5
              8
              0

            
              Germany
              UEFA
              5
              0
              2
              15
              16
              5
              3
              10
              1

            
              Argentina
              CONMEBOL
              4
              0
              1
              12
              10
              6
              2
              8
              0

            
              Uruguay
              CONMEBOL
              3
              2
              2
              11
              11
              8
              3
              13
              2

            
              Brazil
              CONMEBOL
              3
              1
              1
              10
              9
              4
              2
              9
              2

            
              Ghana
              CAF
              2
              2
              1
              8
              5
              4
              1
              12
              0

            
              Japan
              AFC
              2
              1
              1
              7
              4
              2
              2
              4
              0

## d3iach3table.html
<!DOCTYPE html>
<html>
<head>
	<title>table</title>
	<style type="text/css">
		#modal{
			position:fixed;
			left: 150px;
			top: 20px;
			z-index: 1;

## boxplot.csv

          
            day
            min
            max
            median
            q1
            q3
            number

            
              1
              14
              65
              33
              20
              35
              22

            
              2
              25
              73
              25
              25
              30
              170

            
              3
              15
              40
              25
              17
              28
              185

            
              4
              18
              55
              33
              28
              42
              135

            
              5
              14
              66
              35
              22
              45
              150

            
              6
              22
              70
              34
              28
              42
              170

            
              7
              14
              65
              33
              30
              50
              28

## tweetdata.csv

          
            day
            tweets
            retweets
            favorites

            
              1
              1
              2
              5

            
              2
              6
              11
              3

            
              3
              3
              0
              1

            
              4
              5
              2
              6

            
              5
              10
              29
              16

            
              6
              4
              22
              10

            
              7
              3
              14
              1

            
              8
              5
              7
              7

            
              9
              1
              35
              22

## movies.csv

          
            day
            movie1
            movie2
            movie3
            movie4
            movie5
            movie6

            
              1
              20
              8
              3
              0
              0
              0

            
              2
              18
              5
              1
              13
              0
              0

            
              3
              14
              3
              1
              10
              0
              0

            
              4
              7
              3
              0
              5
              27
              15

            
              5
              4
              3
              0
              2
              20
              14

            
              6
              3
              1
              0
              0
              10
              13

            
              7
              2
              0
              0
              0
              8
              12

            
              8
              0
              0
              0
              0
              6
              11

            
              9
              0
              0
              0
              0
              3
              9

## sitestats.json
{
"nodes":[
{"name":"index"},
{"name":"about"},
{"name":"contact"},
{"name":"store"},
{"name":"cheese"},
{"name":"yoghurt"},
{"name":"milk"}
],

## worddata.csv

          
            text
            frequency

            
              layout
              63

            
              function
              61

            
              data
              47

            
              return
              36

            
              attr
              29

            
              chart
              28

            
              array
              24

            
              style
              24

            
              layouts
              22

## edgelist.csv

          
            source
            target
            weight

            
              sam
              pris
              1

            
              roy
              pris
              5

            
              roy
              sam
              1

            
              tully
              pris
              5

            
              tully
              kim
              3

            
              tully
              pat
              1

            
              tully
              mo
              3

            
              kim
              pat
              2

            
              kim
              mo
              1
	{
	"tweets": [
	{"user": "Al", "content": "I really love seafood.",
	"timestamp": " Mon Dec 23 2013 21:30 GMT-0800 (PST)",
	"retweets": ["Raj","Pris","Roy"], "favorites": ["Sam"]},
	{"user": "Al", "content": "I take that back, this doesn't taste so good.",
	"timestamp": "Mon Dec 23 2013 21:55 GMT-0800 (PST)",
	"retweets": ["Roy"], "favorites": []},
	{"user": "Al",
	"content": "From now on, I'm only eating cheese sandwiches.",
label	population	country	x	y
San Francisco	750000	USA	122	-37
Fresno	500000	USA	119	-36
Lahore	12500000	Pakistan	74	31
Karachi	13000000	Pakistan	67	24
Rome	2500000	Italy	12	41
Naples	1000000	Italy	14	40
Rio	12300000	Brazil	-43	-22
Sao Paolo	12300000	Brazil	-46	-23
team	region	win	loss	draw	points	gf	ga	cs	yc	rc
Netherlands	UEFA	6	0	1	18	12	6	2	23	1
Spain	UEFA	6	0	1	18	8	2	5	8	0
Germany	UEFA	5	0	2	15	16	5	3	10	1
Argentina	CONMEBOL	4	0	1	12	10	6	2	8	0
Uruguay	CONMEBOL	3	2	2	11	11	8	3	13	2
Brazil	CONMEBOL	3	1	1	10	9	4	2	9	2
Ghana	CAF	2	2	1	8	5	4	1	12	0
Japan	AFC	2	1	1	7	4	2	2	4	0
	<!DOCTYPE html>
	<html>
	<head>
	<title>table</title>
	<style type="text/css">
	#modal{
	position:fixed;
	left: 150px;
	top: 20px;
	z-index: 1;
day	min	max	median	q1	q3	number
1	14	65	33	20	35	22
2	25	73	25	25	30	170
3	15	40	25	17	28	185
4	18	55	33	28	42	135
5	14	66	35	22	45	150
6	22	70	34	28	42	170
7	14	65	33	30	50	28
day	tweets	retweets	favorites
1	1	2	5
2	6	11	3
3	3	0	1
4	5	2	6
5	10	29	16
6	4	22	10
7	3	14	1
8	5	7	7
9	1	35	22
day	movie1	movie2	movie3	movie4	movie5	movie6
1	20	8	3	0	0	0
2	18	5	1	13	0	0
3	14	3	1	10	0	0
4	7	3	0	5	27	15
5	4	3	0	2	20	14
6	3	1	0	0	10	13
7	2	0	0	0	8	12
8	0	0	0	0	6	11
9	0	0	0	0	3	9
	{
	"nodes":[
	{"name":"index"},
	{"name":"about"},
	{"name":"contact"},
	{"name":"store"},
	{"name":"cheese"},
	{"name":"yoghurt"},
	{"name":"milk"}
	],
	text	frequency
	layout	63
	function	61
	data	47
	return	36
	attr	29
	chart	28
	array	24
	style	24
	layouts	22
source	target	weight
sam	pris	1
roy	pris	5
roy	sam	1
tully	pris	5
tully	kim	3
tully	pat	1
tully	mo	3
kim	pat	2
kim	mo	1