Overview

Dataset statistics

Number of variables16
Number of observations1182
Missing cells1612
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory151.3 KiB
Average record size in memory131.1 B

Variable types

Categorical5
Text6
Numeric3
DateTime2

Alerts

소분류 has constant value ""Constant
컨텐츠타입 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
대분류 is highly overall correlated with 컨텐츠타입 and 1 other fieldsHigh correlation
중분류 is highly overall correlated with 컨텐츠타입 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 우편번호 and 2 other fieldsHigh correlation
도로명주소 has 78 (6.6%) missing valuesMissing
우편번호 has 35 (3.0%) missing valuesMissing
전화번호 has 941 (79.6%) missing valuesMissing
원본대표이미지 has 241 (20.4%) missing valuesMissing
썸네일대표이미지 has 241 (20.4%) missing valuesMissing
WGS84위도 has 38 (3.2%) missing valuesMissing
WGS84경도 has 38 (3.2%) missing valuesMissing

Reproduction

Analysis started2024-05-10 21:41:50.311934
Analysis finished2024-05-10 21:41:56.650604
Duration6.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
수원시
108 
파주시
90 
고양시
85 
용인시
79 
성남시
 
72
Other values (26)
748 

Length

Max length4
Median length3
Mean length3.0558376
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row가평군

Common Values

ValueCountFrequency (%)
수원시 108
 
9.1%
파주시 90
 
7.6%
고양시 85
 
7.2%
용인시 79
 
6.7%
성남시 72
 
6.1%
화성시 59
 
5.0%
평택시 52
 
4.4%
부천시 46
 
3.9%
양평군 43
 
3.6%
김포시 41
 
3.5%
Other values (21) 507
42.9%

Length

2024-05-10T21:41:56.837363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 108
 
9.1%
파주시 90
 
7.6%
고양시 85
 
7.2%
용인시 79
 
6.7%
성남시 72
 
6.1%
화성시 59
 
5.0%
평택시 52
 
4.4%
부천시 46
 
3.9%
양평군 43
 
3.6%
김포시 41
 
3.5%
Other values (21) 507
42.9%

컨텐츠제목
Text

Distinct1181
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-05-10T21:41:57.433310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length7.6489002
Min length2

Characters and Unicode

Total characters9041
Distinct characters631
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1180 ?
Unique (%)99.8%

Sample

1st rowK-26
2nd rowW지우리조트
3rd row가일미술관
4th row가평 잣고을 전통시장
5th row가평 하이랜드
ValueCountFrequency (%)
유네스코 14
 
0.8%
세계유산 13
 
0.8%
고양 12
 
0.7%
파주 12
 
0.7%
수원 9
 
0.5%
양평 9
 
0.5%
호텔 8
 
0.5%
부천 8
 
0.5%
용인 7
 
0.4%
품질인증/korea 6
 
0.4%
Other values (1442) 1597
94.2%
2024-05-10T21:41:58.417478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
 
5.7%
원 317
 
3.5%
관 204
 
2.3%
공 189
 
2.1%
시 162
 
1.8%
장 151
 
1.7%
리 149
 
1.6%
수 121
 
1.3%
스 119
 
1.3%
화 118
 
1.3%
Other values (621) 6998
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8013
88.6%
Space Separator 513
 
5.7%
Close Punctuation 103
 
1.1%
Open Punctuation 101
 
1.1%
Lowercase Letter 94
 
1.0%
Decimal Number 86
 
1.0%
Uppercase Letter 84
 
0.9%
Other Punctuation 42
 
0.5%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 317
 
4.0%
관 204
 
2.5%
공 189
 
2.4%
시 162
 
2.0%
장 151
 
1.9%
리 149
 
1.9%
수 121
 
1.5%
스 119
 
1.5%
화 118
 
1.5%
이 110
 
1.4%
Other values (560) 6373
79.5%
Uppercase Letter
ValueCountFrequency (%)
K 8
 
9.5%
S 8
 
9.5%
Q 7
 
8.3%
C 6
 
7.1%
T 6
 
7.1%
B 5
 
6.0%
O 5
 
6.0%
M 5
 
6.0%
E 4
 
4.8%
D 4
 
4.8%
Other values (12) 26
31.0%
Lowercase Letter
ValueCountFrequency (%)
a 14
14.9%
e 12
12.8%
t 11
11.7%
o 9
9.6%
l 9
9.6%
i 8
8.5%
u 8
8.5%
r 7
7.4%
y 6
6.4%
s 4
 
4.3%
Other values (5) 6
6.4%
Decimal Number
ValueCountFrequency (%)
1 17
19.8%
5 14
16.3%
3 13
15.1%
4 8
9.3%
9 8
9.3%
2 6
 
7.0%
6 6
 
7.0%
0 6
 
7.0%
8 4
 
4.7%
7 4
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 18
42.9%
/ 11
26.2%
. 5
 
11.9%
& 3
 
7.1%
' 3
 
7.1%
· 2
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 79
76.7%
] 24
 
23.3%
Open Punctuation
ValueCountFrequency (%)
( 77
76.2%
[ 24
 
23.8%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8000
88.5%
Common 850
 
9.4%
Latin 178
 
2.0%
Han 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 317
 
4.0%
관 204
 
2.5%
공 189
 
2.4%
시 162
 
2.0%
장 151
 
1.9%
리 149
 
1.9%
수 121
 
1.5%
스 119
 
1.5%
화 118
 
1.5%
이 110
 
1.4%
Other values (551) 6360
79.5%
Latin
ValueCountFrequency (%)
a 14
 
7.9%
e 12
 
6.7%
t 11
 
6.2%
o 9
 
5.1%
l 9
 
5.1%
K 8
 
4.5%
S 8
 
4.5%
i 8
 
4.5%
u 8
 
4.5%
r 7
 
3.9%
Other values (27) 84
47.2%
Common
ValueCountFrequency (%)
513
60.4%
) 79
 
9.3%
( 77
 
9.1%
[ 24
 
2.8%
] 24
 
2.8%
, 18
 
2.1%
1 17
 
2.0%
5 14
 
1.6%
3 13
 
1.5%
/ 11
 
1.3%
Other values (14) 60
 
7.1%
Han
ValueCountFrequency (%)
門 3
23.1%
華 2
15.4%
陵 2
15.4%
英 1
 
7.7%
寧 1
 
7.7%
長 1
 
7.7%
安 1
 
7.7%
西 1
 
7.7%
虹 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8000
88.5%
ASCII 1026
 
11.3%
CJK 13
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
50.0%
) 79
 
7.7%
( 77
 
7.5%
[ 24
 
2.3%
] 24
 
2.3%
, 18
 
1.8%
1 17
 
1.7%
5 14
 
1.4%
a 14
 
1.4%
3 13
 
1.3%
Other values (50) 233
22.7%
Hangul
ValueCountFrequency (%)
원 317
 
4.0%
관 204
 
2.5%
공 189
 
2.4%
시 162
 
2.0%
장 151
 
1.9%
리 149
 
1.9%
수 121
 
1.5%
스 119
 
1.5%
화 118
 
1.5%
이 110
 
1.4%
Other values (551) 6360
79.5%
CJK
ValueCountFrequency (%)
門 3
23.1%
華 2
15.4%
陵 2
15.4%
英 1
 
7.7%
寧 1
 
7.7%
長 1
 
7.7%
安 1
 
7.7%
西 1
 
7.7%
虹 1
 
7.7%
None
ValueCountFrequency (%)
· 2
100.0%

컨텐츠타입
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
관광지
427 
음식점
274 
문화시설
257 
쇼핑
99 
숙박
87 
Other values (2)
 
38

Length

Max length8
Median length3
Mean length3.072758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광지
2nd row숙박
3rd row문화시설
4th row쇼핑
5th row숙박

Common Values

ValueCountFrequency (%)
관광지 427
36.1%
음식점 274
23.2%
문화시설 257
21.7%
쇼핑 99
 
8.4%
숙박 87
 
7.4%
레포츠 35
 
3.0%
행사/공연/축제 3
 
0.3%

Length

2024-05-10T21:41:58.757522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:41:59.046508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광지 427
36.1%
음식점 274
23.2%
문화시설 257
21.7%
쇼핑 99
 
8.4%
숙박 87
 
7.4%
레포츠 35
 
3.0%
행사/공연/축제 3
 
0.3%

대분류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
인문(문화/예술/역사)
621 
음식
275 
쇼핑
98 
숙박
74 
자연
73 

Length

Max length12
Median length12
Mean length7.2884941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row레포츠
2nd row인문(문화/예술/역사)
3rd row인문(문화/예술/역사)
4th row쇼핑
5th row숙박

Common Values

ValueCountFrequency (%)
인문(문화/예술/역사) 621
52.5%
음식 275
23.3%
쇼핑 98
 
8.3%
숙박 74
 
6.3%
자연 73
 
6.2%
레포츠 41
 
3.5%

Length

2024-05-10T21:41:59.463305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:41:59.818626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인문(문화/예술/역사 621
52.5%
음식 275
23.3%
쇼핑 98
 
8.3%
숙박 74
 
6.3%
자연 73
 
6.2%
레포츠 41
 
3.5%

중분류
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
음식점
275 
문화시설
253 
휴양관광지
217 
쇼핑
98 
숙박시설
74 
Other values (10)
265 

Length

Max length6
Median length5
Mean length4.0439932
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row수상 레포츠
2nd row휴양관광지
3rd row문화시설
4th row쇼핑
5th row숙박시설

Common Values

ValueCountFrequency (%)
음식점 275
23.3%
문화시설 253
21.4%
휴양관광지 217
18.4%
쇼핑 98
 
8.3%
숙박시설 74
 
6.3%
자연관광지 72
 
6.1%
체험관광지 59
 
5.0%
역사관광지 59
 
5.0%
육상 레포츠 37
 
3.1%
산업관광지 19
 
1.6%
Other values (5) 19
 
1.6%

Length

2024-05-10T21:42:00.221143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 275
22.5%
문화시설 253
20.7%
휴양관광지 217
17.8%
쇼핑 98
 
8.0%
숙박시설 74
 
6.1%
자연관광지 72
 
5.9%
체험관광지 59
 
4.8%
역사관광지 59
 
4.8%
레포츠 40
 
3.3%
육상 37
 
3.0%
Other values (6) 38
 
3.1%

소분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
산
1182 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산
2nd row산
3rd row산
4th row산
5th row산

Common Values

ValueCountFrequency (%)
산 1182
100.0%

Length

2024-05-10T21:42:00.725093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:42:01.024676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산 1182
100.0%

도로명주소
Text

MISSING 

Distinct1013
Distinct (%)91.8%
Missing78
Missing (%)6.6%
Memory size9.4 KiB
2024-05-10T21:42:01.681490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length19.964674
Min length13

Characters and Unicode

Total characters22041
Distinct characters320
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique939 ?
Unique (%)85.1%

Sample

1st row경기도 가평군 청평면 고재길 262-57
2nd row경기도 가평군 가평읍 북한강변로 970-9
3rd row경기도 가평군 청평면 북한강로 1549
4th row경기도 가평군 가평읍 장터2길 10
5th row경기도 가평군 북면 가화로 2369-19
ValueCountFrequency (%)
경기도 1104
 
21.2%
수원시 99
 
1.9%
파주시 88
 
1.7%
고양시 80
 
1.5%
용인시 78
 
1.5%
성남시 60
 
1.1%
화성시 51
 
1.0%
평택시 50
 
1.0%
팔달구 47
 
0.9%
부천시 41
 
0.8%
Other values (1523) 3520
67.5%
2024-05-10T21:42:02.867827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4114
18.7%
기 1157
 
5.2%
경 1150
 
5.2%
도 1136
 
5.2%
시 1051
 
4.8%
로 950
 
4.3%
1 790
 
3.6%
2 532
 
2.4%
3 463
 
2.1%
구 432
 
2.0%
Other values (310) 10266
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13757
62.4%
Space Separator 4114
 
18.7%
Decimal Number 3935
 
17.9%
Dash Punctuation 234
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1157
 
8.4%
경 1150
 
8.4%
도 1136
 
8.3%
시 1051
 
7.6%
로 950
 
6.9%
구 432
 
3.1%
길 420
 
3.1%
양 275
 
2.0%
면 257
 
1.9%
번 245
 
1.8%
Other values (297) 6684
48.6%
Decimal Number
ValueCountFrequency (%)
1 790
20.1%
2 532
13.5%
3 463
11.8%
4 355
9.0%
5 332
8.4%
0 312
 
7.9%
7 311
 
7.9%
8 289
 
7.3%
9 277
 
7.0%
6 274
 
7.0%
Space Separator
ValueCountFrequency (%)
4114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13757
62.4%
Common 8284
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1157
 
8.4%
경 1150
 
8.4%
도 1136
 
8.3%
시 1051
 
7.6%
로 950
 
6.9%
구 432
 
3.1%
길 420
 
3.1%
양 275
 
2.0%
면 257
 
1.9%
번 245
 
1.8%
Other values (297) 6684
48.6%
Common
ValueCountFrequency (%)
4114
49.7%
1 790
 
9.5%
2 532
 
6.4%
3 463
 
5.6%
4 355
 
4.3%
5 332
 
4.0%
0 312
 
3.8%
7 311
 
3.8%
8 289
 
3.5%
9 277
 
3.3%
Other values (3) 509
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13757
62.4%
ASCII 8284
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4114
49.7%
1 790
 
9.5%
2 532
 
6.4%
3 463
 
5.6%
4 355
 
4.3%
5 332
 
4.0%
0 312
 
3.8%
7 311
 
3.8%
8 289
 
3.5%
9 277
 
3.3%
Other values (3) 509
 
6.1%
Hangul
ValueCountFrequency (%)
기 1157
 
8.4%
경 1150
 
8.4%
도 1136
 
8.3%
시 1051
 
7.6%
로 950
 
6.9%
구 432
 
3.1%
길 420
 
3.1%
양 275
 
2.0%
면 257
 
1.9%
번 245
 
1.8%
Other values (297) 6684
48.6%

지번주소
Text

Distinct1094
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-05-10T21:42:03.554158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length44
Mean length22.039763
Min length10

Characters and Unicode

Total characters26051
Distinct characters365
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1026 ?
Unique (%)86.8%

Sample

1st row경기도 가평군 청평면 고성리 59-1번지
2nd row경기도 가평군 가평읍 달전리 159-15번지
3rd row경기도 가평군 청평면 삼회리 609-6번지
4th row경기도 가평군 가평읍 읍내리 403번지
5th row경기도 가평군 북면 도대리 319-17번지
ValueCountFrequency (%)
경기도 1182
 
20.6%
수원시 108
 
1.9%
파주시 90
 
1.6%
고양시 85
 
1.5%
용인시 80
 
1.4%
성남시 72
 
1.3%
화성시 59
 
1.0%
팔달구 53
 
0.9%
평택시 52
 
0.9%
분당구 50
 
0.9%
Other values (1828) 3900
68.1%
2024-05-10T21:42:04.875668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4551
 
17.5%
기 1226
 
4.7%
도 1215
 
4.7%
경 1187
 
4.6%
지 1184
 
4.5%
번 1118
 
4.3%
시 1117
 
4.3%
동 908
 
3.5%
1 853
 
3.3%
- 694
 
2.7%
Other values (355) 11998
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16348
62.8%
Space Separator 4551
 
17.5%
Decimal Number 4400
 
16.9%
Dash Punctuation 694
 
2.7%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Uppercase Letter 12
 
< 0.1%
Lowercase Letter 9
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1226
 
7.5%
도 1215
 
7.4%
경 1187
 
7.3%
지 1184
 
7.2%
번 1118
 
6.8%
시 1117
 
6.8%
동 908
 
5.6%
구 475
 
2.9%
리 424
 
2.6%
양 309
 
1.9%
Other values (322) 7185
44.0%
Decimal Number
ValueCountFrequency (%)
1 853
19.4%
2 584
13.3%
3 490
11.1%
6 409
9.3%
4 391
8.9%
5 390
8.9%
8 338
 
7.7%
7 336
 
7.6%
0 330
 
7.5%
9 279
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
P 2
16.7%
H 2
16.7%
G 1
 
8.3%
L 1
 
8.3%
D 1
 
8.3%
S 1
 
8.3%
C 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
m 2
22.2%
i 1
11.1%
e 1
11.1%
c 1
11.1%
a 1
11.1%
l 1
11.1%
t 1
11.1%
u 1
11.1%
Space Separator
ValueCountFrequency (%)
4551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16347
62.7%
Common 9681
37.2%
Latin 22
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1226
 
7.5%
도 1215
 
7.4%
경 1187
 
7.3%
지 1184
 
7.2%
번 1118
 
6.8%
시 1117
 
6.8%
동 908
 
5.6%
구 475
 
2.9%
리 424
 
2.6%
양 309
 
1.9%
Other values (321) 7184
43.9%
Latin
ValueCountFrequency (%)
A 3
13.6%
P 2
 
9.1%
H 2
 
9.1%
m 2
 
9.1%
G 1
 
4.5%
L 1
 
4.5%
D 1
 
4.5%
i 1
 
4.5%
e 1
 
4.5%
c 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
4551
47.0%
1 853
 
8.8%
- 694
 
7.2%
2 584
 
6.0%
3 490
 
5.1%
6 409
 
4.2%
4 391
 
4.0%
5 390
 
4.0%
8 338
 
3.5%
7 336
 
3.5%
Other values (6) 645
 
6.7%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16347
62.7%
ASCII 9702
37.2%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4551
46.9%
1 853
 
8.8%
- 694
 
7.2%
2 584
 
6.0%
3 490
 
5.1%
6 409
 
4.2%
4 391
 
4.0%
5 390
 
4.0%
8 338
 
3.5%
7 336
 
3.5%
Other values (22) 666
 
6.9%
Hangul
ValueCountFrequency (%)
기 1226
 
7.5%
도 1215
 
7.4%
경 1187
 
7.3%
지 1184
 
7.2%
번 1118
 
6.8%
시 1117
 
6.8%
동 908
 
5.6%
구 475
 
2.9%
리 424
 
2.6%
양 309
 
1.9%
Other values (321) 7184
43.9%
CJK
ValueCountFrequency (%)
內 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct765
Distinct (%)66.7%
Missing35
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean14006.312
Minimum10004
Maximum18623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-05-10T21:42:05.242351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10004
5-th percentile10313.1
Q111467
median13572
Q316515.5
95-th percentile18139.5
Maximum18623
Range8619
Interquartile range (IQR)5048.5

Descriptive statistics

Standard deviation2690.8425
Coefficient of variation (CV)0.19211642
Kurtosis-1.3726112
Mean14006.312
Median Absolute Deviation (MAD)2640
Skewness0.16491384
Sum16065240
Variance7240633.6
MonotonicityNot monotonic
2024-05-10T21:42:05.649420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10881 17
 
1.4%
10859 14
 
1.2%
11103 9
 
0.8%
10862 9
 
0.8%
12636 9
 
0.8%
10440 7
 
0.6%
16514 7
 
0.6%
12809 6
 
0.5%
16488 6
 
0.5%
13829 5
 
0.4%
Other values (755) 1058
89.5%
(Missing) 35
 
3.0%
ValueCountFrequency (%)
10004 1
 
0.1%
10008 1
 
0.1%
10013 1
 
0.1%
10024 4
0.3%
10028 1
 
0.1%
10029 2
0.2%
10031 1
 
0.1%
10040 1
 
0.1%
10041 3
0.3%
10042 1
 
0.1%
ValueCountFrequency (%)
18623 1
 
0.1%
18598 1
 
0.1%
18595 2
0.2%
18592 1
 
0.1%
18591 2
0.2%
18581 1
 
0.1%
18577 1
 
0.1%
18570 1
 
0.1%
18556 3
0.3%
18554 1
 
0.1%

전화번호
Text

MISSING 

Distinct235
Distinct (%)97.5%
Missing941
Missing (%)79.6%
Memory size9.4 KiB
2024-05-10T21:42:06.053938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length12
Mean length12.66805
Min length9

Characters and Unicode

Total characters3053
Distinct characters68
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)96.7%

Sample

1st row031-581-7770
2nd row가평군청 031-580-2114
3rd row031-581-2256~7
4th row031-581-5711
5th row031-581-5570
ValueCountFrequency (%)
8
 
3.1%
031-957?6863 2
 
0.8%
031-353-7833 1
 
0.4%
031-320-5000 1
 
0.4%
남한강 1
 
0.4%
031-883-1199 1
 
0.4%
031-887-2741 1
 
0.4%
031-839-2641 1
 
0.4%
031-378-8013~5 1
 
0.4%
031-276-3880 1
 
0.4%
Other values (241) 241
93.1%
2024-05-10T21:42:06.933949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 477
15.6%
0 460
15.1%
3 395
12.9%
1 384
12.6%
5 185
 
6.1%
2 179
 
5.9%
7 171
 
5.6%
8 164
 
5.4%
6 163
 
5.3%
4 154
 
5.0%
Other values (58) 321
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2390
78.3%
Dash Punctuation 477
 
15.6%
Other Punctuation 74
 
2.4%
Other Letter 60
 
2.0%
Math Symbol 20
 
0.7%
Space Separator 18
 
0.6%
Lowercase Letter 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3
 
5.0%
동 3
 
5.0%
안 3
 
5.0%
합 3
 
5.0%
인 2
 
3.3%
양 2
 
3.3%
상 2
 
3.3%
중 2
 
3.3%
시 2
 
3.3%
문 2
 
3.3%
Other values (35) 36
60.0%
Decimal Number
ValueCountFrequency (%)
0 460
19.2%
3 395
16.5%
1 384
16.1%
5 185
7.7%
2 179
 
7.5%
7 171
 
7.2%
8 164
 
6.9%
6 163
 
6.8%
4 154
 
6.4%
9 135
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 66
89.2%
: 4
 
5.4%
? 2
 
2.7%
/ 1
 
1.4%
, 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
< 7
35.0%
> 7
35.0%
~ 5
25.0%
∼ 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
r 7
50.0%
b 7
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2979
97.6%
Hangul 60
 
2.0%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3
 
5.0%
동 3
 
5.0%
안 3
 
5.0%
합 3
 
5.0%
인 2
 
3.3%
양 2
 
3.3%
상 2
 
3.3%
중 2
 
3.3%
시 2
 
3.3%
문 2
 
3.3%
Other values (35) 36
60.0%
Common
ValueCountFrequency (%)
- 477
16.0%
0 460
15.4%
3 395
13.3%
1 384
12.9%
5 185
 
6.2%
2 179
 
6.0%
7 171
 
5.7%
8 164
 
5.5%
6 163
 
5.5%
4 154
 
5.2%
Other values (11) 247
8.3%
Latin
ValueCountFrequency (%)
r 7
50.0%
b 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2992
98.0%
Hangul 60
 
2.0%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 477
15.9%
0 460
15.4%
3 395
13.2%
1 384
12.8%
5 185
 
6.2%
2 179
 
6.0%
7 171
 
5.7%
8 164
 
5.5%
6 163
 
5.4%
4 154
 
5.1%
Other values (12) 260
8.7%
Hangul
ValueCountFrequency (%)
장 3
 
5.0%
동 3
 
5.0%
안 3
 
5.0%
합 3
 
5.0%
인 2
 
3.3%
양 2
 
3.3%
상 2
 
3.3%
중 2
 
3.3%
시 2
 
3.3%
문 2
 
3.3%
Other values (35) 36
60.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

원본대표이미지
Text

MISSING 

Distinct941
Distinct (%)100.0%
Missing241
Missing (%)20.4%
Memory size9.4 KiB
2024-05-10T21:42:07.550385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length65
Mean length64.997875
Min length64

Characters and Unicode

Total characters61163
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique941 ?
Unique (%)100.0%

Sample

1st rowhttp://tong.visitkorea.or.kr/cms/resource/18/2712818_image2_1.jpg
2nd rowhttp://tong.visitkorea.or.kr/cms/resource/77/2500177_image2_1.jpg
3rd rowhttp://tong.visitkorea.or.kr/cms/resource/37/1979637_image2_1.JPG
4th rowhttp://tong.visitkorea.or.kr/cms/resource/13/2364413_image2_1.jpg
5th rowhttp://tong.visitkorea.or.kr/cms/resource/34/1589034_image2_1.jpg
ValueCountFrequency (%)
http://tong.visitkorea.or.kr/cms/resource/85/2010785_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/78/2838578_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/92/2775192_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/92/3085092_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/97/576297_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/16/2844816_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/91/2841191_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/23/2739023_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/93/3068093_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/18/2609118_image2_1.bmp 1
 
0.1%
Other values (931) 931
98.9%
2024-05-10T21:42:08.607125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5646
 
9.2%
r 4705
 
7.7%
e 3794
 
6.2%
o 3764
 
6.2%
t 3764
 
6.2%
. 3764
 
6.2%
i 2823
 
4.6%
s 2823
 
4.6%
g 2733
 
4.5%
2 2200
 
3.6%
Other values (25) 25147
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38398
62.8%
Other Punctuation 10351
 
16.9%
Decimal Number 10319
 
16.9%
Connector Punctuation 1882
 
3.1%
Uppercase Letter 213
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 4705
12.3%
e 3794
9.9%
o 3764
9.8%
t 3764
9.8%
i 2823
 
7.4%
s 2823
 
7.4%
g 2733
 
7.1%
m 1901
 
5.0%
c 1882
 
4.9%
k 1882
 
4.9%
Other values (8) 8327
21.7%
Decimal Number
ValueCountFrequency (%)
2 2200
21.3%
1 1778
17.2%
7 1036
10.0%
3 862
 
8.4%
8 848
 
8.2%
5 749
 
7.3%
9 735
 
7.1%
0 710
 
6.9%
4 709
 
6.9%
6 692
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 5646
54.5%
. 3764
36.4%
: 941
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
J 71
33.3%
P 71
33.3%
G 71
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1882
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38611
63.1%
Common 22552
36.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 4705
12.2%
e 3794
9.8%
o 3764
9.7%
t 3764
9.7%
i 2823
 
7.3%
s 2823
 
7.3%
g 2733
 
7.1%
m 1901
 
4.9%
c 1882
 
4.9%
k 1882
 
4.9%
Other values (11) 8540
22.1%
Common
ValueCountFrequency (%)
/ 5646
25.0%
. 3764
16.7%
2 2200
 
9.8%
_ 1882
 
8.3%
1 1778
 
7.9%
7 1036
 
4.6%
: 941
 
4.2%
3 862
 
3.8%
8 848
 
3.8%
5 749
 
3.3%
Other values (4) 2846
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5646
 
9.2%
r 4705
 
7.7%
e 3794
 
6.2%
o 3764
 
6.2%
t 3764
 
6.2%
. 3764
 
6.2%
i 2823
 
4.6%
s 2823
 
4.6%
g 2733
 
4.5%
2 2200
 
3.6%
Other values (25) 25147
41.1%

썸네일대표이미지
Text

MISSING 

Distinct941
Distinct (%)100.0%
Missing241
Missing (%)20.4%
Memory size9.4 KiB
2024-05-10T21:42:09.397057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length65
Mean length64.997875
Min length64

Characters and Unicode

Total characters61163
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique941 ?
Unique (%)100.0%

Sample

1st rowhttp://tong.visitkorea.or.kr/cms/resource/18/2712818_image3_1.jpg
2nd rowhttp://tong.visitkorea.or.kr/cms/resource/77/2500177_image2_1.jpg
3rd rowhttp://tong.visitkorea.or.kr/cms/resource/37/1979637_image2_1.JPG
4th rowhttp://tong.visitkorea.or.kr/cms/resource/13/2364413_image3_1.jpg
5th rowhttp://tong.visitkorea.or.kr/cms/resource/34/1589034_image3_1.jpg
ValueCountFrequency (%)
http://tong.visitkorea.or.kr/cms/resource/85/2010785_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/78/2838578_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/92/2775192_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/92/3085092_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/97/576297_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/16/2844816_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/91/2841191_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/23/2739023_image2_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/93/3068093_image3_1.jpg 1
 
0.1%
http://tong.visitkorea.or.kr/cms/resource/18/2609118_image2_1.bmp 1
 
0.1%
Other values (931) 931
98.9%
2024-05-10T21:42:11.109426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5646
 
9.2%
r 4705
 
7.7%
e 3794
 
6.2%
t 3764
 
6.2%
o 3764
 
6.2%
. 3764
 
6.2%
i 2823
 
4.6%
s 2823
 
4.6%
g 2733
 
4.5%
m 1901
 
3.1%
Other values (25) 25446
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38398
62.8%
Other Punctuation 10351
 
16.9%
Decimal Number 10319
 
16.9%
Connector Punctuation 1882
 
3.1%
Uppercase Letter 213
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 4705
12.3%
e 3794
9.9%
t 3764
9.8%
o 3764
9.8%
i 2823
 
7.4%
s 2823
 
7.4%
g 2733
 
7.1%
m 1901
 
5.0%
k 1882
 
4.9%
a 1882
 
4.9%
Other values (8) 8327
21.7%
Decimal Number
ValueCountFrequency (%)
1 1778
17.2%
2 1665
16.1%
3 1397
13.5%
7 1036
10.0%
8 848
8.2%
5 749
7.3%
9 735
7.1%
0 710
 
6.9%
4 709
 
6.9%
6 692
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 5646
54.5%
. 3764
36.4%
: 941
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
J 71
33.3%
P 71
33.3%
G 71
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1882
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38611
63.1%
Common 22552
36.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 4705
12.2%
e 3794
9.8%
t 3764
9.7%
o 3764
9.7%
i 2823
 
7.3%
s 2823
 
7.3%
g 2733
 
7.1%
m 1901
 
4.9%
k 1882
 
4.9%
a 1882
 
4.9%
Other values (11) 8540
22.1%
Common
ValueCountFrequency (%)
/ 5646
25.0%
. 3764
16.7%
_ 1882
 
8.3%
1 1778
 
7.9%
2 1665
 
7.4%
3 1397
 
6.2%
7 1036
 
4.6%
: 941
 
4.2%
8 848
 
3.8%
5 749
 
3.3%
Other values (4) 2846
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5646
 
9.2%
r 4705
 
7.7%
e 3794
 
6.2%
t 3764
 
6.2%
o 3764
 
6.2%
. 3764
 
6.2%
i 2823
 
4.6%
s 2823
 
4.6%
g 2733
 
4.5%
m 1901
 
3.1%
Other values (25) 25446
41.6%

컨텐츠등록시간
Date

Distinct1084
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2002-04-17 09:00:00
Maximum2023-09-05 10:19:34
2024-05-10T21:42:11.789109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:42:12.433453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

컨텐츠수정시간
Date

Distinct1181
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2021-03-10 01:13:15
Maximum2024-04-30 17:07:07
2024-05-10T21:42:12.996842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:42:13.582166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1054
Distinct (%)92.1%
Missing38
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.461772
Minimum36.921133
Maximum38.212487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-05-10T21:42:14.082597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921133
5-th percentile37.046531
Q137.277261
median37.41196
Q337.665096
95-th percentile37.903156
Maximum38.212487
Range1.291354
Interquartile range (IQR)0.38783564

Descriptive statistics

Standard deviation0.25675083
Coefficient of variation (CV)0.0068536755
Kurtosis-0.5848718
Mean37.461772
Median Absolute Deviation (MAD)0.18672569
Skewness0.275256
Sum42856.268
Variance0.06592099
MonotonicityNot monotonic
2024-05-10T21:42:14.564355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3374923833 5
 
0.4%
37.7084960372 5
 
0.4%
37.4062762719 4
 
0.3%
37.2907221232 3
 
0.3%
37.732282669 3
 
0.3%
37.2565731109 3
 
0.3%
37.2818848306 3
 
0.3%
37.350279973 3
 
0.3%
37.3150945491 3
 
0.3%
37.5086718515 3
 
0.3%
Other values (1044) 1109
93.8%
(Missing) 38
 
3.2%
ValueCountFrequency (%)
36.9211325623 2
0.2%
36.9214457112 1
0.1%
36.9224886044 1
0.1%
36.9521899321 1
0.1%
36.9576165524 1
0.1%
36.969040781 1
0.1%
36.9717307922 1
0.1%
36.9752514145 1
0.1%
36.9827500887 1
0.1%
36.9876645521 1
0.1%
ValueCountFrequency (%)
38.2124865269 1
0.1%
38.1063165987 1
0.1%
38.1060866853 1
0.1%
38.0814904598 1
0.1%
38.0771492559 1
0.1%
38.0732222801 1
0.1%
38.073105697 1
0.1%
38.0729379217 1
0.1%
38.0685095061 2
0.2%
38.0683427258 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1054
Distinct (%)92.1%
Missing38
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean127.04858
Minimum126.53665
Maximum127.73733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-05-10T21:42:14.988814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53665
5-th percentile126.68677
Q1126.83171
median127.05109
Q3127.19464
95-th percentile127.51456
Maximum127.73733
Range1.2006771
Interquartile range (IQR)0.36292585

Descriptive statistics

Standard deviation0.25534963
Coefficient of variation (CV)0.0020098581
Kurtosis-0.34196577
Mean127.04858
Median Absolute Deviation (MAD)0.17641556
Skewness0.37456455
Sum145343.58
Variance0.065203434
MonotonicityNot monotonic
2024-05-10T21:42:15.470685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2963227839 5
 
0.4%
126.6867669819 5
 
0.4%
126.9487846348 4
 
0.3%
127.1967269237 3
 
0.3%
126.7931712695 3
 
0.3%
127.1175081433 3
 
0.3%
127.0143988553 3
 
0.3%
127.3347904394 3
 
0.3%
126.8595842753 3
 
0.3%
126.7437361036 3
 
0.3%
Other values (1044) 1109
93.8%
(Missing) 38
 
3.2%
ValueCountFrequency (%)
126.5366528586 1
 
0.1%
126.5392751662 1
 
0.1%
126.5460934539 1
 
0.1%
126.5521888049 1
 
0.1%
126.5522087631 3
0.3%
126.5522797507 1
 
0.1%
126.5637744895 1
 
0.1%
126.5682959426 1
 
0.1%
126.5690387214 1
 
0.1%
126.5719062673 1
 
0.1%
ValueCountFrequency (%)
127.7373299931 1
0.1%
127.7350799083 1
0.1%
127.7181355319 1
0.1%
127.7081456066 1
0.1%
127.6881568938 1
0.1%
127.6798613414 1
0.1%
127.671947031 1
0.1%
127.6663831773 1
0.1%
127.6633534888 1
0.1%
127.6610453985 1
0.1%

Interactions

2024-05-10T21:41:54.599584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:52.915274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:53.816647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:54.837570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:53.172829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:54.052192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:55.109936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:53.572583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:41:54.323049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:42:15.748977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명컨텐츠타입대분류중분류우편번호WGS84위도WGS84경도
시군명1.0000.3050.3220.3440.9930.9520.923
컨텐츠타입0.3051.0000.9300.9880.1590.2110.160
대분류0.3220.9301.0001.0000.2110.1660.182
중분류0.3440.9881.0001.0000.2370.2570.192
우편번호0.9930.1590.2110.2371.0000.9100.856
WGS84위도0.9520.2110.1660.2570.9101.0000.612
WGS84경도0.9230.1600.1820.1920.8560.6121.000
2024-05-10T21:42:16.088474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명컨텐츠타입대분류중분류
시군명1.0000.1300.1460.107
컨텐츠타입0.1301.0000.8570.950
대분류0.1460.8571.0000.996
중분류0.1070.9500.9961.000
2024-05-10T21:42:16.394655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호WGS84위도WGS84경도시군명컨텐츠타입대분류중분류
우편번호1.000-0.9000.2380.9290.0810.1110.090
WGS84위도-0.9001.000-0.1830.7330.1080.0880.098
WGS84경도0.238-0.1831.0000.6460.0810.0960.072
시군명0.9290.7330.6461.0000.1300.1460.107
컨텐츠타입0.0810.1080.0810.1301.0000.8570.950
대분류0.1110.0880.0960.1460.8571.0000.996
중분류0.0900.0980.0720.1070.9500.9961.000

Missing values

2024-05-10T21:41:55.464368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:41:56.090828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-10T21:41:56.453109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명컨텐츠제목컨텐츠타입대분류중분류소분류도로명주소지번주소우편번호전화번호원본대표이미지썸네일대표이미지컨텐츠등록시간컨텐츠수정시간WGS84위도WGS84경도
0가평군K-26관광지레포츠수상 레포츠산경기도 가평군 청평면 고재길 262-57경기도 가평군 청평면 고성리 59-1번지12456<NA>http://tong.visitkorea.or.kr/cms/resource/18/2712818_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/18/2712818_image3_1.jpg2021-04-09 01:49:202023-03-21 00:15:0637.703016127.516313
1가평군W지우리조트숙박인문(문화/예술/역사)휴양관광지산경기도 가평군 가평읍 북한강변로 970-9경기도 가평군 가평읍 달전리 159-15번지12422031-581-7770http://tong.visitkorea.or.kr/cms/resource/77/2500177_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/77/2500177_image2_1.jpg2017-07-18 19:02:492023-08-29 16:21:0237.799809127.523286
2가평군가일미술관문화시설인문(문화/예술/역사)문화시설산경기도 가평군 청평면 북한강로 1549경기도 가평군 청평면 삼회리 609-6번지12458<NA><NA><NA>2005-06-28 09:00:002024-01-29 11:13:3337.660413127.379434
3가평군가평 잣고을 전통시장쇼핑쇼핑쇼핑산경기도 가평군 가평읍 장터2길 10경기도 가평군 가평읍 읍내리 403번지12419가평군청 031-580-2114<NA><NA>2007-05-08 09:00:002023-10-24 10:46:4137.829752127.514557
4가평군가평 하이랜드숙박숙박숙박시설산경기도 가평군 북면 가화로 2369-19경기도 가평군 북면 도대리 319-17번지12401031-581-2256~7http://tong.visitkorea.or.kr/cms/resource/37/1979637_image2_1.JPGhttp://tong.visitkorea.or.kr/cms/resource/37/1979637_image2_1.JPG2014-12-26 18:49:462023-08-24 11:30:1537.9524127.476643
5가평군가평5일장 (5, 10일)쇼핑쇼핑쇼핑산경기도 가평군 가평읍 장터2길 10경기도 가평군 가평읍 읍내리 403번지12419<NA>http://tong.visitkorea.or.kr/cms/resource/13/2364413_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/13/2364413_image3_1.jpg2002-04-17 09:00:002023-06-10 05:39:4337.829752127.514557
6가평군가평문화예술회관문화시설인문(문화/예술/역사)문화시설산경기도 가평군 가평읍 문화로 131경기도 가평군 가평읍 대곡리 316번지12416<NA>http://tong.visitkorea.or.kr/cms/resource/34/1589034_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/34/1589034_image3_1.jpg2006-06-08 09:00:002023-10-24 11:07:1437.824254127.508522
7가평군가평문화원문화시설인문(문화/예술/역사)문화시설산경기도 가평군 가평읍 문화로 131경기도 가평군 가평읍 대곡리 316번지12416<NA>http://tong.visitkorea.or.kr/cms/resource/64/1785864_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/64/1785864_image3_1.jpg2007-11-06 10:33:592023-10-24 15:19:4137.824254127.508522
8가평군가평양떼목장카페음식점음식음식점산경기도 가평군 설악면 유명로 1209경기도 가평군 설악면 천안리 861번지12469<NA>http://tong.visitkorea.or.kr/cms/resource/90/2723990_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/90/2723990_image3_1.jpg2021-07-08 18:03:352023-08-02 19:19:1037.643156127.472705
9가평군가평현암농경유물박물관문화시설인문(문화/예술/역사)문화시설산경기도 가평군 북면 석장모루길 13경기도 가평군 북면 이곡리 13-45번지12407<NA>http://tong.visitkorea.or.kr/cms/resource/50/1090950_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/50/1090950_image3_1.jpg2007-07-10 09:00:002023-10-23 14:57:4437.879306127.548123
시군명컨텐츠제목컨텐츠타입대분류중분류소분류도로명주소지번주소우편번호전화번호원본대표이미지썸네일대표이미지컨텐츠등록시간컨텐츠수정시간WGS84위도WGS84경도
1172화성시화성 고정리 공룡알 화석산지관광지자연관광자원산경기도 화성시 송산면 공룡로 659경기도 화성시 송산면 고정리 산6번지18235<NA><NA><NA>2007-02-28 09:00:002023-11-06 13:52:3237.262224126.747076
1173화성시화성 궁평어촌체험휴양마을관광지인문(문화/예술/역사)체험관광지산경기도 화성시 서신면 궁평항로 1069-11경기도 화성시 서신면 궁평리 688번지18556<NA><NA><NA>2006-04-12 09:00:002023-12-14 15:26:5737.116156126.683376
1174화성시화성 우리꽃식물원관광지자연자연관광지산경기도 화성시 팔탄면 3.1만세로 777-17경기도 화성시 팔탄면 매곡리 179-18번지18577<NA>http://tong.visitkorea.or.kr/cms/resource/40/1996940_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/40/1996940_image3_1.jpg2017-11-09 00:20:482023-11-06 10:39:4637.115976126.881672
1175화성시화성 융릉(장조,헌경왕후)과 건릉(정조,효의왕후) [유네스코 세계유산]관광지인문(문화/예술/역사)역사관광지산<NA>경기도 화성시 안녕동18351<NA>http://tong.visitkorea.or.kr/cms/resource/44/3003944_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/44/3003944_image3_1.jpg2002-07-10 09:00:002024-04-09 16:42:24<NA><NA>
1176화성시화성 제암리 3·1운동 순국 유적관광지인문(문화/예술/역사)역사관광지산경기도 화성시 향남읍 제암길 50경기도 화성시 향남읍 제암리 392-2번지18595<NA>http://tong.visitkorea.or.kr/cms/resource/06/2483206_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/06/2483206_image2_1.jpg2003-10-15 09:00:002023-12-19 17:39:5837.126304126.891596
1177화성시화성문화원문화시설인문(문화/예술/역사)문화시설산경기도 화성시 향남읍 발안로 89경기도 화성시 향남읍 행정리 287-1번지18592<NA>http://tong.visitkorea.or.kr/cms/resource/79/1858479_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/79/1858479_image3_1.jpg2007-11-06 10:33:332023-11-08 11:04:5337.132649126.920254
1178화성시화성시 향토박물관문화시설인문(문화/예술/역사)문화시설산경기도 화성시 향남읍 행정동로 96경기도 화성시 향남읍 행정리 478번지18591<NA>http://tong.visitkorea.or.kr/cms/resource/63/2757463_image2_1.jpghttp://tong.visitkorea.or.kr/cms/resource/63/2757463_image2_1.jpg2021-10-15 00:14:192023-01-17 15:32:5837.132633126.927944
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