Overview

Dataset statistics

Number of variables16
Number of observations216
Missing cells92
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.6 KiB
Average record size in memory130.6 B

Variable types

Text9
DateTime2
Categorical3
Numeric2

Alerts

위도 is highly overall correlated with 후원기관명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 후원기관명 and 2 other fieldsHigh correlation
후원기관명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
관련정보 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
관련정보 is highly imbalanced (59.7%)Imbalance
전화번호 has 5 (2.3%) missing valuesMissing
홈페이지주소 has 71 (32.9%) missing valuesMissing
소재지도로명주소 has 15 (6.9%) missing valuesMissing

Reproduction

Analysis started2024-05-10 21:36:07.778392
Analysis finished2024-05-10 21:36:13.882809
Duration6.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

축제명
Text

Distinct188
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-10T21:36:14.190550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length13.203704
Min length5

Characters and Unicode

Total characters2852
Distinct characters337
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)82.9%

Sample

1st row백운계곡 뜬구름 축제
2nd row억새꽃 축제
3rd row포천 백운계곡 동장군 축제
4th row제17회 구리 코스모스 축제
5th row제18회 구리 유채꽃 축제
ValueCountFrequency (%)
축제 31
 
5.7%
2023 17
 
3.1%
청소년 16
 
3.0%
구리 10
 
1.8%
안양 9
 
1.7%
상록수문화제 9
 
1.7%
안산국제거리극축제 8
 
1.5%
여르미오페스티벌 7
 
1.3%
코스모스 6
 
1.1%
2024 6
 
1.1%
Other values (284) 423
78.0%
2024-05-10T21:36:15.299512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
 
11.5%
제 238
 
8.3%
축 112
 
3.9%
2 97
 
3.4%
회 80
 
2.8%
0 57
 
2.0%
1 55
 
1.9%
스 47
 
1.6%
화 45
 
1.6%
리 36
 
1.3%
Other values (327) 1757
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2016
70.7%
Space Separator 328
 
11.5%
Decimal Number 316
 
11.1%
Lowercase Letter 83
 
2.9%
Other Punctuation 55
 
1.9%
Uppercase Letter 35
 
1.2%
Open Punctuation 9
 
0.3%
Close Punctuation 9
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 238
 
11.8%
축 112
 
5.6%
회 80
 
4.0%
스 47
 
2.3%
화 45
 
2.2%
리 36
 
1.8%
안 34
 
1.7%
문 31
 
1.5%
년 29
 
1.4%
양 28
 
1.4%
Other values (282) 1336
66.3%
Uppercase Letter
ValueCountFrequency (%)
D 6
17.1%
A 5
14.3%
I 3
 
8.6%
N 3
 
8.6%
E 2
 
5.7%
M 2
 
5.7%
T 2
 
5.7%
C 2
 
5.7%
H 1
 
2.9%
Z 1
 
2.9%
Other values (8) 8
22.9%
Decimal Number
ValueCountFrequency (%)
2 97
30.7%
0 57
18.0%
1 55
17.4%
3 30
 
9.5%
4 19
 
6.0%
8 13
 
4.1%
6 13
 
4.1%
7 12
 
3.8%
9 11
 
3.5%
5 9
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 18
21.7%
m 17
20.5%
p 17
20.5%
t 15
18.1%
g 7
 
8.4%
l 7
 
8.4%
y 1
 
1.2%
r 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
; 31
56.4%
& 17
30.9%
. 7
 
12.7%
Open Punctuation
ValueCountFrequency (%)
( 6
66.7%
[ 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 6
66.7%
] 3
33.3%
Space Separator
ValueCountFrequency (%)
328
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2014
70.6%
Common 718
 
25.2%
Latin 118
 
4.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 238
 
11.8%
축 112
 
5.6%
회 80
 
4.0%
스 47
 
2.3%
화 45
 
2.2%
리 36
 
1.8%
안 34
 
1.7%
문 31
 
1.5%
년 29
 
1.4%
양 28
 
1.4%
Other values (281) 1334
66.2%
Latin
ValueCountFrequency (%)
a 18
15.3%
m 17
14.4%
p 17
14.4%
t 15
12.7%
g 7
 
5.9%
l 7
 
5.9%
D 6
 
5.1%
A 5
 
4.2%
I 3
 
2.5%
N 3
 
2.5%
Other values (16) 20
16.9%
Common
ValueCountFrequency (%)
328
45.7%
2 97
 
13.5%
0 57
 
7.9%
1 55
 
7.7%
; 31
 
4.3%
3 30
 
4.2%
4 19
 
2.6%
& 17
 
2.4%
8 13
 
1.8%
6 13
 
1.8%
Other values (9) 58
 
8.1%
Han
ValueCountFrequency (%)
展 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2014
70.6%
ASCII 836
29.3%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
39.2%
2 97
 
11.6%
0 57
 
6.8%
1 55
 
6.6%
; 31
 
3.7%
3 30
 
3.6%
4 19
 
2.3%
a 18
 
2.2%
& 17
 
2.0%
m 17
 
2.0%
Other values (35) 167
20.0%
Hangul
ValueCountFrequency (%)
제 238
 
11.8%
축 112
 
5.6%
회 80
 
4.0%
스 47
 
2.3%
화 45
 
2.2%
리 36
 
1.8%
안 34
 
1.7%
문 31
 
1.5%
년 29
 
1.4%
양 28
 
1.4%
Other values (281) 1334
66.2%
CJK
ValueCountFrequency (%)
展 2
100.0%

개최장소
Text

Distinct135
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-10T21:36:15.756576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length10.291667
Min length2

Characters and Unicode

Total characters2223
Distinct characters249
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)45.4%

Sample

1st row백운계곡 일대
2nd row산정호수+명성산 일대
3rd row백운계곡 일대
4th row구리한강 시민공원
5th row구리한강 시민공원
ValueCountFrequency (%)
일원 26
 
6.4%
일대 24
 
5.9%
및 14
 
3.4%
의정부시청소년수련관 12
 
2.9%
시민공원 12
 
2.9%
구리한강 12
 
2.9%
안산시 10
 
2.5%
등 8
 
2.0%
광장 8
 
2.0%
평촌중앙공원 6
 
1.5%
Other values (183) 275
67.6%
2024-05-10T21:36:16.625721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
8.6%
원 114
 
5.1%
공 89
 
4.0%
시 80
 
3.6%
장 64
 
2.9%
일 60
 
2.7%
광 49
 
2.2%
안 46
 
2.1%
화 44
 
2.0%
관 41
 
1.8%
Other values (239) 1445
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1931
86.9%
Space Separator 191
 
8.6%
Math Symbol 42
 
1.9%
Lowercase Letter 22
 
1.0%
Other Punctuation 11
 
0.5%
Decimal Number 11
 
0.5%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 114
 
5.9%
공 89
 
4.6%
시 80
 
4.1%
장 64
 
3.3%
일 60
 
3.1%
광 49
 
2.5%
안 46
 
2.4%
화 44
 
2.3%
관 41
 
2.1%
정 37
 
1.9%
Other values (217) 1307
67.7%
Lowercase Letter
ValueCountFrequency (%)
w 6
27.3%
r 4
18.2%
y 2
 
9.1%
a 2
 
9.1%
o 2
 
9.1%
f 2
 
9.1%
d 2
 
9.1%
k 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
3 4
36.4%
4 1
 
9.1%
1 1
 
9.1%
8 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
+ 39
92.9%
~ 3
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
, 5
45.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1931
86.9%
Common 267
 
12.0%
Latin 25
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 114
 
5.9%
공 89
 
4.6%
시 80
 
4.1%
장 64
 
3.3%
일 60
 
3.1%
광 49
 
2.5%
안 46
 
2.4%
화 44
 
2.3%
관 41
 
2.1%
정 37
 
1.9%
Other values (217) 1307
67.7%
Common
ValueCountFrequency (%)
191
71.5%
+ 39
 
14.6%
( 6
 
2.2%
) 6
 
2.2%
. 6
 
2.2%
, 5
 
1.9%
2 4
 
1.5%
3 4
 
1.5%
~ 3
 
1.1%
4 1
 
0.4%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
w 6
24.0%
r 4
16.0%
y 2
 
8.0%
a 2
 
8.0%
o 2
 
8.0%
C 2
 
8.0%
f 2
 
8.0%
d 2
 
8.0%
k 2
 
8.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1931
86.9%
ASCII 292
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
65.4%
+ 39
 
13.4%
( 6
 
2.1%
) 6
 
2.1%
w 6
 
2.1%
. 6
 
2.1%
, 5
 
1.7%
r 4
 
1.4%
2 4
 
1.4%
3 4
 
1.4%
Other values (12) 21
 
7.2%
Hangul
ValueCountFrequency (%)
원 114
 
5.9%
공 89
 
4.6%
시 80
 
4.1%
장 64
 
3.3%
일 60
 
3.1%
광 49
 
2.5%
안 46
 
2.4%
화 44
 
2.3%
관 41
 
2.1%
정 37
 
1.9%
Other values (217) 1307
67.7%

축제시작일자
Date

Distinct153
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2013-08-31 00:00:00
Maximum2024-11-22 00:00:00
2024-05-10T21:36:17.020083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:36:17.380294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

축제종료일자
Date

Distinct156
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2013-08-31 00:00:00
Maximum2024-11-24 00:00:00
2024-05-10T21:36:17.777191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:36:18.213855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

축제내용
Text

Distinct169
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-10T21:36:18.617692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length49
Mean length23.662037
Min length4

Characters and Unicode

Total characters5111
Distinct characters445
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)67.6%

Sample

1st row장작패기+무술체험+포천쿠키만들기+레트로포토존+뜬구름빵+행운쿠기체험 등
2nd row작은버스킹+1년 후에 받는 편지 등
3rd rowICE BIG TREE 포토존+얼음조각작품 전시+튜브 눈썰매+송어얼음 낚시
4th row무대공연+체험부스운영+먹거리 체험+꽃 관람
5th row무대공연+체험부스운영+먹거리 체험+꽃 관람
ValueCountFrequency (%)
등 86
 
9.1%
및 40
 
4.2%
공연 19
 
2.0%
축제 17
 
1.8%
청소년 14
 
1.5%
축하공연 12
 
1.3%
전시 11
 
1.2%
11
 
1.2%
운영 8
 
0.8%
순수예술축제 8
 
0.8%
Other values (514) 719
76.1%
2024-05-10T21:36:19.540246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
 
14.3%
+ 329
 
6.4%
연 138
 
2.7%
공 135
 
2.6%
시 106
 
2.1%
체 100
 
2.0%
험 100
 
2.0%
등 90
 
1.8%
스 82
 
1.6%
대 72
 
1.4%
Other values (435) 3229
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3943
77.1%
Space Separator 730
 
14.3%
Math Symbol 329
 
6.4%
Other Punctuation 31
 
0.6%
Uppercase Letter 28
 
0.5%
Decimal Number 17
 
0.3%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Lowercase Letter 9
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 138
 
3.5%
공 135
 
3.4%
시 106
 
2.7%
체 100
 
2.5%
험 100
 
2.5%
등 90
 
2.3%
스 82
 
2.1%
대 72
 
1.8%
전 69
 
1.7%
제 63
 
1.6%
Other values (394) 2988
75.8%
Uppercase Letter
ValueCountFrequency (%)
E 5
17.9%
P 4
14.3%
S 2
 
7.1%
M 2
 
7.1%
K 2
 
7.1%
T 2
 
7.1%
B 2
 
7.1%
I 2
 
7.1%
O 2
 
7.1%
N 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
3 4
23.5%
4 3
17.6%
1 3
17.6%
5 2
11.8%
8 1
 
5.9%
9 1
 
5.9%
7 1
 
5.9%
2 1
 
5.9%
0 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
p 2
22.2%
s 2
22.2%
a 1
11.1%
m 1
11.1%
t 1
11.1%
r 1
11.1%
o 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 19
61.3%
/ 5
 
16.1%
· 4
 
12.9%
; 1
 
3.2%
& 1
 
3.2%
? 1
 
3.2%
Space Separator
ValueCountFrequency (%)
730
100.0%
Math Symbol
ValueCountFrequency (%)
+ 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3943
77.1%
Common 1131
 
22.1%
Latin 37
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 138
 
3.5%
공 135
 
3.4%
시 106
 
2.7%
체 100
 
2.5%
험 100
 
2.5%
등 90
 
2.3%
스 82
 
2.1%
대 72
 
1.8%
전 69
 
1.7%
제 63
 
1.6%
Other values (394) 2988
75.8%
Latin
ValueCountFrequency (%)
E 5
13.5%
P 4
 
10.8%
p 2
 
5.4%
s 2
 
5.4%
S 2
 
5.4%
M 2
 
5.4%
K 2
 
5.4%
T 2
 
5.4%
B 2
 
5.4%
I 2
 
5.4%
Other values (11) 12
32.4%
Common
ValueCountFrequency (%)
730
64.5%
+ 329
29.1%
, 19
 
1.7%
) 10
 
0.9%
( 10
 
0.9%
/ 5
 
0.4%
- 4
 
0.4%
· 4
 
0.4%
3 4
 
0.4%
4 3
 
0.3%
Other values (10) 13
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3943
77.1%
ASCII 1164
 
22.8%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
730
62.7%
+ 329
28.3%
, 19
 
1.6%
) 10
 
0.9%
( 10
 
0.9%
/ 5
 
0.4%
E 5
 
0.4%
P 4
 
0.3%
- 4
 
0.3%
3 4
 
0.3%
Other values (30) 44
 
3.8%
Hangul
ValueCountFrequency (%)
연 138
 
3.5%
공 135
 
3.4%
시 106
 
2.7%
체 100
 
2.5%
험 100
 
2.5%
등 90
 
2.3%
스 82
 
2.1%
대 72
 
1.8%
전 69
 
1.7%
제 63
 
1.6%
Other values (394) 2988
75.8%
None
ValueCountFrequency (%)
· 4
100.0%

주관기관명
Text

Distinct102
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-10T21:36:20.069424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length22
Mean length10.032407
Min length3

Characters and Unicode

Total characters2167
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)30.6%

Sample

1st row백운계곡상권활성화사업단+백운계곡상인협동조합
2nd row경기도 포천시청+포천시문화재단
3rd row동장군축제조직위원회
4th row(사)한국예총 구리지회
5th row(사)한국예총 구리지회
ValueCountFrequency (%)
경기도 40
 
13.9%
재)안양문화예술재단 17
 
5.9%
안산시청 17
 
5.9%
사)한국예총 10
 
3.5%
구리지회 10
 
3.5%
평택시문화재단 9
 
3.1%
안산문화재단 7
 
2.4%
한국예술문화단체총연합회 6
 
2.1%
경인일보 6
 
2.1%
의정부시청소년수련관 6
 
2.1%
Other values (108) 159
55.4%
2024-05-10T21:36:20.980952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 108
 
5.0%
재 96
 
4.4%
문 95
 
4.4%
시 93
 
4.3%
단 82
 
3.8%
71
 
3.3%
회 65
 
3.0%
청 54
 
2.5%
경 52
 
2.4%
원 51
 
2.4%
Other values (187) 1400
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1968
90.8%
Space Separator 71
 
3.3%
Close Punctuation 50
 
2.3%
Open Punctuation 49
 
2.3%
Math Symbol 21
 
1.0%
Uppercase Letter 3
 
0.1%
Decimal Number 2
 
0.1%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 108
 
5.5%
재 96
 
4.9%
문 95
 
4.8%
시 93
 
4.7%
단 82
 
4.2%
회 65
 
3.3%
청 54
 
2.7%
경 52
 
2.6%
원 51
 
2.6%
도 51
 
2.6%
Other values (175) 1221
62.0%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1969
90.9%
Common 195
 
9.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 108
 
5.5%
재 96
 
4.9%
문 95
 
4.8%
시 93
 
4.7%
단 82
 
4.2%
회 65
 
3.3%
청 54
 
2.7%
경 52
 
2.6%
원 51
 
2.6%
도 51
 
2.6%
Other values (176) 1222
62.1%
Common
ValueCountFrequency (%)
71
36.4%
) 50
25.6%
( 49
25.1%
+ 21
 
10.8%
1 1
 
0.5%
· 1
 
0.5%
6 1
 
0.5%
, 1
 
0.5%
Latin
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1968
90.8%
ASCII 197
 
9.1%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 108
 
5.5%
재 96
 
4.9%
문 95
 
4.8%
시 93
 
4.7%
단 82
 
4.2%
회 65
 
3.3%
청 54
 
2.7%
경 52
 
2.6%
원 51
 
2.6%
도 51
 
2.6%
Other values (175) 1221
62.0%
ASCII
ValueCountFrequency (%)
71
36.0%
) 50
25.4%
( 49
24.9%
+ 21
 
10.7%
1 1
 
0.5%
Z 1
 
0.5%
M 1
 
0.5%
D 1
 
0.5%
6 1
 
0.5%
, 1
 
0.5%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

주최기관명
Text

Distinct72
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-10T21:36:21.334942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length9.0462963
Min length3

Characters and Unicode

Total characters1954
Distinct characters148
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)19.9%

Sample

1st row경기도시장상군진흥원
2nd row경기도 포천시청+포천시문화재단
3rd row경기도 포천시청
4th row경기도 구리시청
5th row경기도 구리시청
ValueCountFrequency (%)
경기도 135
36.9%
광명시청 21
 
5.7%
안산시청 17
 
4.6%
구리시청 12
 
3.3%
안양시+안양축제추진위원회 11
 
3.0%
평택시청 10
 
2.7%
화성시 9
 
2.5%
재)안양문화예술재단 9
 
2.5%
의정부시청소년재단 9
 
2.5%
안산문화재단 7
 
1.9%
Other values (67) 126
34.4%
2024-05-10T21:36:22.169269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 173
 
8.9%
도 150
 
7.7%
150
 
7.7%
경 148
 
7.6%
기 147
 
7.5%
청 131
 
6.7%
안 67
 
3.4%
양 51
 
2.6%
화 48
 
2.5%
재 43
 
2.2%
Other values (138) 846
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
89.0%
Space Separator 150
 
7.7%
Math Symbol 27
 
1.4%
Close Punctuation 14
 
0.7%
Open Punctuation 13
 
0.7%
Lowercase Letter 5
 
0.3%
Uppercase Letter 4
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 173
 
9.9%
도 150
 
8.6%
경 148
 
8.5%
기 147
 
8.4%
청 131
 
7.5%
안 67
 
3.9%
양 51
 
2.9%
화 48
 
2.8%
재 43
 
2.5%
문 37
 
2.1%
Other values (124) 745
42.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
t 1
20.0%
a 1
20.0%
w 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
M 1
25.0%
Z 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Math Symbol
ValueCountFrequency (%)
+ 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
89.0%
Common 205
 
10.5%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 173
 
9.9%
도 150
 
8.6%
경 148
 
8.5%
기 147
 
8.4%
청 131
 
7.5%
안 67
 
3.9%
양 51
 
2.9%
화 48
 
2.8%
재 43
 
2.5%
문 37
 
2.1%
Other values (124) 745
42.8%
Latin
ValueCountFrequency (%)
D 1
11.1%
r 1
11.1%
M 1
11.1%
Z 1
11.1%
e 1
11.1%
t 1
11.1%
a 1
11.1%
w 1
11.1%
K 1
11.1%
Common
ValueCountFrequency (%)
150
73.2%
+ 27
 
13.2%
) 14
 
6.8%
( 13
 
6.3%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
89.0%
ASCII 214
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 173
 
9.9%
도 150
 
8.6%
경 148
 
8.5%
기 147
 
8.4%
청 131
 
7.5%
안 67
 
3.9%
양 51
 
2.9%
화 48
 
2.8%
재 43
 
2.5%
문 37
 
2.1%
Other values (124) 745
42.8%
ASCII
ValueCountFrequency (%)
150
70.1%
+ 27
 
12.6%
) 14
 
6.5%
( 13
 
6.1%
D 1
 
0.5%
r 1
 
0.5%
M 1
 
0.5%
Z 1
 
0.5%
e 1
 
0.5%
t 1
 
0.5%
Other values (4) 4
 
1.9%

후원기관명
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
128 
광명시의회
18 
경기도+한국관광공사+경기관광공사
 
8
국가보훈처
 
5
경기도 안양시+ 안양시여성단체협의회
 
4
Other values (32)
53 

Length

Max length45
Median length4
Mean length7.4212963
Min length3

Unique

Unique16 ?
Unique (%)7.4%

Sample

1st row<NA>
2nd row경기도+경기관광공사
3rd row<NA>
4th row경기도+한국관광공사+경기관광공사
5th row경기도+한국관광공사+경기관광공사

Common Values

ValueCountFrequency (%)
<NA> 128
59.3%
광명시의회 18
 
8.3%
경기도+한국관광공사+경기관광공사 8
 
3.7%
국가보훈처 5
 
2.3%
경기도 안양시+ 안양시여성단체협의회 4
 
1.9%
문화체육관광부+경기관광공사+한국문화예술위원회+한국지역진흥재단 3
 
1.4%
경기도 이천시 3
 
1.4%
경기도 안양시+ 티브로드abc방송 3
 
1.4%
티브로드abc방송 3
 
1.4%
경기도 3
 
1.4%
Other values (27) 38
 
17.6%

Length

2024-05-10T21:36:22.605711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 128
48.7%
경기도 30
 
11.4%
광명시의회 18
 
6.8%
안양시 10
 
3.8%
경기도+한국관광공사+경기관광공사 8
 
3.0%
티브로드abc방송 6
 
2.3%
국가보훈처 5
 
1.9%
등 4
 
1.5%
안양시여성단체협의회 4
 
1.5%
이천시 3
 
1.1%
Other values (32) 47
 
17.9%

전화번호
Text

MISSING 

Distinct112
Distinct (%)53.1%
Missing5
Missing (%)2.3%
Memory size1.8 KiB
2024-05-10T21:36:23.151786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052133
Min length11

Characters and Unicode

Total characters2543
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)36.5%

Sample

1st row031-550-2065
2nd row031-550-2065
3rd row031-550-2065
4th row031-550-2065
5th row031-550-2065
ValueCountFrequency (%)
031-687-0500 24
 
11.4%
031-550-2065 12
 
5.7%
031-481-3040 9
 
4.3%
031-481-4030 8
 
3.8%
031-692-9110 6
 
2.8%
02-899-1664 5
 
2.4%
02-2680-6871 4
 
1.9%
031-828-9585 4
 
1.9%
031-481-0531 4
 
1.9%
031-310-6730 4
 
1.9%
Other values (102) 131
62.1%
2024-05-10T21:36:24.037943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 472
18.6%
- 422
16.6%
3 316
12.4%
1 288
11.3%
8 214
8.4%
2 191
7.5%
5 167
 
6.6%
6 158
 
6.2%
9 115
 
4.5%
4 109
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2121
83.4%
Dash Punctuation 422
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 472
22.3%
3 316
14.9%
1 288
13.6%
8 214
10.1%
2 191
9.0%
5 167
 
7.9%
6 158
 
7.4%
9 115
 
5.4%
4 109
 
5.1%
7 91
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 472
18.6%
- 422
16.6%
3 316
12.4%
1 288
11.3%
8 214
8.4%
2 191
7.5%
5 167
 
6.6%
6 158
 
6.2%
9 115
 
4.5%
4 109
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 472
18.6%
- 422
16.6%
3 316
12.4%
1 288
11.3%
8 214
8.4%
2 191
7.5%
5 167
 
6.6%
6 158
 
6.2%
9 115
 
4.5%
4 109
 
4.3%

홈페이지주소
Text

MISSING 

Distinct66
Distinct (%)45.5%
Missing71
Missing (%)32.9%
Memory size1.8 KiB
2024-05-10T21:36:24.748624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length51
Mean length27.82069
Min length12

Characters and Unicode

Total characters4034
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)35.2%

Sample

1st rowhttp://www.guri.go.kr
2nd rowhttp://www.guri.go.kr
3rd rowhttp://www.guri.go.kr
4th rowhttp://www.guri.go.kr
5th rowhttp://www.guri.go.kr
ValueCountFrequency (%)
http://www.ayac.or.kr 25
17.2%
https://www.ansanart.com/index.do 12
 
8.3%
http://www.guri.go.kr 12
 
8.3%
https://www2.ansan.go.kr/choiyongshin/main/main.do 9
 
6.2%
https://www.pccf.or.kr 8
 
5.5%
http://www.ddc.go.kr 5
 
3.4%
www.gmcc.or.kr 4
 
2.8%
https://www.swcf.or.kr/hlfl 3
 
2.1%
http://tour.paju.go.kr 3
 
2.1%
https://www.ansanart.com//lay2/s1t54c56/contents.do 3
 
2.1%
Other values (56) 61
42.1%
2024-05-10T21:36:25.874031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 409
 
10.1%
/ 395
 
9.8%
w 366
 
9.1%
t 339
 
8.4%
o 247
 
6.1%
r 211
 
5.2%
a 202
 
5.0%
h 172
 
4.3%
p 160
 
4.0%
n 155
 
3.8%
Other values (56) 1378
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2937
72.8%
Other Punctuation 954
 
23.6%
Decimal Number 94
 
2.3%
Other Letter 19
 
0.5%
Uppercase Letter 17
 
0.4%
Math Symbol 11
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 366
12.5%
t 339
11.5%
o 247
 
8.4%
r 211
 
7.2%
a 202
 
6.9%
h 172
 
5.9%
p 160
 
5.4%
n 155
 
5.3%
s 149
 
5.1%
c 135
 
4.6%
Other values (15) 801
27.3%
Other Letter
ValueCountFrequency (%)
제 3
15.8%
축 2
 
10.5%
평 2
 
10.5%
정 1
 
5.3%
새 1
 
5.3%
억 1
 
5.3%
택 1
 
5.3%
화 1
 
5.3%
문 1
 
5.3%
효 1
 
5.3%
Other values (5) 5
26.3%
Decimal Number
ValueCountFrequency (%)
0 31
33.0%
2 18
19.1%
5 14
14.9%
1 9
 
9.6%
4 8
 
8.5%
9 5
 
5.3%
6 4
 
4.3%
8 3
 
3.2%
7 1
 
1.1%
3 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
17.6%
N 3
17.6%
S 3
17.6%
C 3
17.6%
I 2
11.8%
V 1
 
5.9%
B 1
 
5.9%
P 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 409
42.9%
/ 395
41.4%
: 135
 
14.2%
? 7
 
0.7%
; 4
 
0.4%
& 4
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2954
73.2%
Common 1061
 
26.3%
Hangul 19
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 366
12.4%
t 339
11.5%
o 247
 
8.4%
r 211
 
7.1%
a 202
 
6.8%
h 172
 
5.8%
p 160
 
5.4%
n 155
 
5.2%
s 149
 
5.0%
c 135
 
4.6%
Other values (23) 818
27.7%
Common
ValueCountFrequency (%)
. 409
38.5%
/ 395
37.2%
: 135
 
12.7%
0 31
 
2.9%
2 18
 
1.7%
5 14
 
1.3%
= 11
 
1.0%
1 9
 
0.8%
4 8
 
0.8%
? 7
 
0.7%
Other values (8) 24
 
2.3%
Hangul
ValueCountFrequency (%)
제 3
15.8%
축 2
 
10.5%
평 2
 
10.5%
정 1
 
5.3%
새 1
 
5.3%
억 1
 
5.3%
택 1
 
5.3%
화 1
 
5.3%
문 1
 
5.3%
효 1
 
5.3%
Other values (5) 5
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4015
99.5%
Hangul 19
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 409
 
10.2%
/ 395
 
9.8%
w 366
 
9.1%
t 339
 
8.4%
o 247
 
6.2%
r 211
 
5.3%
a 202
 
5.0%
h 172
 
4.3%
p 160
 
4.0%
n 155
 
3.9%
Other values (41) 1359
33.8%
Hangul
ValueCountFrequency (%)
제 3
15.8%
축 2
 
10.5%
평 2
 
10.5%
정 1
 
5.3%
새 1
 
5.3%
억 1
 
5.3%
택 1
 
5.3%
화 1
 
5.3%
문 1
 
5.3%
효 1
 
5.3%
Other values (5) 5
26.3%

관련정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
155 
안양예술공원+ APAP+ 김중업박물관
25 
구름산예술제(시민회관)
 
3
농악대축제(시민운동장)
 
3
대부도
 
3
Other values (19)
27 

Length

Max length72
Median length4
Mean length7.5324074
Min length3

Unique

Unique13 ?
Unique (%)6.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 155
71.8%
안양예술공원+ APAP+ 김중업박물관 25
 
11.6%
구름산예술제(시민회관) 3
 
1.4%
농악대축제(시민운동장) 3
 
1.4%
대부도 3
 
1.4%
화랑유원지 3
 
1.4%
광명문화원 3
 
1.4%
고구려대장간마을 2
 
0.9%
안산문화광장 2
 
0.9%
신륵사 명성황후생가 영릉 황학산수목원 등 2
 
0.9%
Other values (14) 15
 
6.9%

Length

2024-05-10T21:36:26.347486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 155
54.4%
apap 25
 
8.8%
김중업박물관 25
 
8.8%
안양예술공원 25
 
8.8%
구름산예술제(시민회관 3
 
1.1%
농악대축제(시민운동장 3
 
1.1%
대부도 3
 
1.1%
화랑유원지 3
 
1.1%
광명문화원 3
 
1.1%
등 3
 
1.1%
Other values (30) 37
 
13.0%

소재지도로명주소
Text

MISSING 

Distinct98
Distinct (%)48.8%
Missing15
Missing (%)6.9%
Memory size1.8 KiB
2024-05-10T21:36:26.819100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.00995
Min length13

Characters and Unicode

Total characters3821
Distinct characters167
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)32.8%

Sample

1st row경기도 포천시 이동면 포화로148
2nd row경기도 포천시 영북면 산정호수로411번길 89
3rd row경기도 포천시 이동면 화동로 2381
4th row경기도 구리시 코스모스길14번길 249(토평동)
5th row경기도 구리시 코스모스길14번길 249(토평동)
ValueCountFrequency (%)
경기도 201
 
21.9%
의정부시 27
 
2.9%
안양시 25
 
2.7%
안산시 24
 
2.6%
광명시 22
 
2.4%
동안구 15
 
1.6%
관평로 15
 
1.6%
149 15
 
1.6%
평촌동 15
 
1.6%
단원구 15
 
1.6%
Other values (232) 543
59.2%
2024-05-10T21:36:27.705709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
716
18.7%
경 206
 
5.4%
시 205
 
5.4%
도 205
 
5.4%
기 201
 
5.3%
로 165
 
4.3%
1 134
 
3.5%
안 91
 
2.4%
2 88
 
2.3%
4 81
 
2.1%
Other values (157) 1729
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2448
64.1%
Space Separator 716
 
18.7%
Decimal Number 589
 
15.4%
Open Punctuation 30
 
0.8%
Close Punctuation 30
 
0.8%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 206
 
8.4%
시 205
 
8.4%
도 205
 
8.4%
기 201
 
8.2%
로 165
 
6.7%
안 91
 
3.7%
구 79
 
3.2%
길 68
 
2.8%
동 67
 
2.7%
평 62
 
2.5%
Other values (143) 1099
44.9%
Decimal Number
ValueCountFrequency (%)
1 134
22.8%
2 88
14.9%
4 81
13.8%
9 59
10.0%
7 55
9.3%
5 54
9.2%
0 34
 
5.8%
3 31
 
5.3%
8 27
 
4.6%
6 26
 
4.4%
Space Separator
ValueCountFrequency (%)
716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2448
64.1%
Common 1373
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 206
 
8.4%
시 205
 
8.4%
도 205
 
8.4%
기 201
 
8.2%
로 165
 
6.7%
안 91
 
3.7%
구 79
 
3.2%
길 68
 
2.8%
동 67
 
2.7%
평 62
 
2.5%
Other values (143) 1099
44.9%
Common
ValueCountFrequency (%)
716
52.1%
1 134
 
9.8%
2 88
 
6.4%
4 81
 
5.9%
9 59
 
4.3%
7 55
 
4.0%
5 54
 
3.9%
0 34
 
2.5%
3 31
 
2.3%
( 30
 
2.2%
Other values (4) 91
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2448
64.1%
ASCII 1373
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
716
52.1%
1 134
 
9.8%
2 88
 
6.4%
4 81
 
5.9%
9 59
 
4.3%
7 55
 
4.0%
5 54
 
3.9%
0 34
 
2.5%
3 31
 
2.3%
( 30
 
2.2%
Other values (4) 91
 
6.6%
Hangul
ValueCountFrequency (%)
경 206
 
8.4%
시 205
 
8.4%
도 205
 
8.4%
기 201
 
8.2%
로 165
 
6.7%
안 91
 
3.7%
구 79
 
3.2%
길 68
 
2.8%
동 67
 
2.7%
평 62
 
2.5%
Other values (143) 1099
44.9%

소재지지번주소
Text

Distinct109
Distinct (%)50.7%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-05-10T21:36:28.559673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length18.567442
Min length14

Characters and Unicode

Total characters3992
Distinct characters163
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)36.3%

Sample

1st row경기도 포천시 이동면 도평리 720번지
2nd row경기도 포천시 영북면 산정리 191-1번지
3rd row경기도 포천시 이동면 도평리 249번지
4th row경기도 구리시 토평동 810
5th row경기도 구리시 토평동 810
ValueCountFrequency (%)
경기도 215
 
22.1%
의정부시 28
 
2.9%
안양시 25
 
2.6%
안산시 24
 
2.5%
광명시 21
 
2.2%
의정부동 19
 
1.9%
평촌동 15
 
1.5%
단원구 15
 
1.5%
동안구 15
 
1.5%
895 15
 
1.5%
Other values (258) 583
59.8%
2024-05-10T21:36:29.670365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
760
19.0%
도 220
 
5.5%
기 216
 
5.4%
경 215
 
5.4%
시 214
 
5.4%
동 203
 
5.1%
1 123
 
3.1%
안 104
 
2.6%
- 94
 
2.4%
8 86
 
2.2%
Other values (153) 1757
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2407
60.3%
Space Separator 760
 
19.0%
Decimal Number 729
 
18.3%
Dash Punctuation 94
 
2.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 220
 
9.1%
기 216
 
9.0%
경 215
 
8.9%
시 214
 
8.9%
동 203
 
8.4%
안 104
 
4.3%
구 80
 
3.3%
정 61
 
2.5%
리 56
 
2.3%
평 53
 
2.2%
Other values (139) 985
40.9%
Decimal Number
ValueCountFrequency (%)
1 123
16.9%
8 86
11.8%
5 81
11.1%
2 81
11.1%
3 71
9.7%
7 68
9.3%
9 66
9.1%
0 63
8.6%
4 47
 
6.4%
6 43
 
5.9%
Space Separator
ValueCountFrequency (%)
760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2407
60.3%
Common 1585
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 220
 
9.1%
기 216
 
9.0%
경 215
 
8.9%
시 214
 
8.9%
동 203
 
8.4%
안 104
 
4.3%
구 80
 
3.3%
정 61
 
2.5%
리 56
 
2.3%
평 53
 
2.2%
Other values (139) 985
40.9%
Common
ValueCountFrequency (%)
760
47.9%
1 123
 
7.8%
- 94
 
5.9%
8 86
 
5.4%
5 81
 
5.1%
2 81
 
5.1%
3 71
 
4.5%
7 68
 
4.3%
9 66
 
4.2%
0 63
 
4.0%
Other values (4) 92
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2407
60.3%
ASCII 1585
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
760
47.9%
1 123
 
7.8%
- 94
 
5.9%
8 86
 
5.4%
5 81
 
5.1%
2 81
 
5.1%
3 71
 
4.5%
7 68
 
4.3%
9 66
 
4.2%
0 63
 
4.0%
Other values (4) 92
 
5.8%
Hangul
ValueCountFrequency (%)
도 220
 
9.1%
기 216
 
9.0%
경 215
 
8.9%
시 214
 
8.9%
동 203
 
8.4%
안 104
 
4.3%
구 80
 
3.3%
정 61
 
2.5%
리 56
 
2.3%
평 53
 
2.2%
Other values (139) 985
40.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct116
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.473796
Minimum36.921442
Maximum38.070075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-10T21:36:30.126764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921442
5-th percentile36.993763
Q137.310742
median37.443684
Q337.708909
95-th percentile37.90084
Maximum38.070075
Range1.1486327
Interquartile range (IQR)0.39816655

Descriptive statistics

Standard deviation0.25072576
Coefficient of variation (CV)0.0066906957
Kurtosis-0.25252849
Mean37.473796
Median Absolute Deviation (MAD)0.14404035
Skewness0.1258971
Sum8094.3399
Variance0.062863409
MonotonicityNot monotonic
2024-05-10T21:36:30.537344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.390137 15
 
6.9%
37.7351772 12
 
5.6%
37.574478 12
 
5.6%
37.299644 9
 
4.2%
37.310742 8
 
3.7%
36.95955991 6
 
2.8%
37.318426 5
 
2.3%
37.4674687 5
 
2.3%
37.46251993 4
 
1.9%
37.47909912 4
 
1.9%
Other values (106) 136
63.0%
ValueCountFrequency (%)
36.921442 1
 
0.5%
36.94330477 1
 
0.5%
36.95955991 6
2.8%
36.983401 1
 
0.5%
36.991134 2
 
0.9%
36.994639 1
 
0.5%
37.03286562 1
 
0.5%
37.03286992 1
 
0.5%
37.07467485 1
 
0.5%
37.09814476 1
 
0.5%
ValueCountFrequency (%)
38.0700747348 1
 
0.5%
38.0688660963 1
 
0.5%
38.0547745 1
 
0.5%
38.01564838 2
0.9%
37.93877612 2
0.9%
37.91584622 1
 
0.5%
37.90543939 1
 
0.5%
37.90537169 1
 
0.5%
37.90083977 4
1.9%
37.89275541 1
 
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00339
Minimum126.54096
Maximum127.75448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-10T21:36:30.920609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54096
5-th percentile126.73551
Q1126.8644
median127.00757
Q3127.08593
95-th percentile127.40751
Maximum127.75448
Range1.2135221
Interquartile range (IQR)0.22152587

Descriptive statistics

Standard deviation0.20705405
Coefficient of variation (CV)0.0016303033
Kurtosis1.9639925
Mean127.00339
Median Absolute Deviation (MAD)0.1252912
Skewness1.0734476
Sum27432.732
Variance0.042871379
MonotonicityNot monotonic
2024-05-10T21:36:31.317214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9613287072 15
 
6.9%
127.132863 12
 
5.6%
127.0338894 12
 
5.6%
126.8627402 9
 
4.2%
126.829822 8
 
3.7%
127.043999 6
 
2.8%
126.8732102 5
 
2.3%
126.823108 5
 
2.3%
126.8711626 4
 
1.9%
126.8648475 4
 
1.9%
Other values (105) 136
63.0%
ValueCountFrequency (%)
126.5409612 1
 
0.5%
126.5521888049 1
 
0.5%
126.651015 1
 
0.5%
126.6524994 1
 
0.5%
126.6766022237 1
 
0.5%
126.6812748 1
 
0.5%
126.6867933 2
0.9%
126.6992404 1
 
0.5%
126.7214786 2
0.9%
126.7401859 3
1.4%
ValueCountFrequency (%)
127.7544833 1
0.5%
127.670192 1
0.5%
127.6572227621 2
0.9%
127.6545462 1
0.5%
127.5945009 1
0.5%
127.5824277 1
0.5%
127.5313533 1
0.5%
127.521045 1
0.5%
127.425921 1
0.5%
127.4244564 1
0.5%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-06-26
28 
2023-11-23
25 
2024-01-03
25 
2022-09-29
22 
2023-12-04
17 
Other values (20)
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row2023-12-04
2nd row2023-12-04
3rd row2023-12-04
4th row2023-12-04
5th row2023-12-04

Common Values

ValueCountFrequency (%)
2023-06-26 28
13.0%
2023-11-23 25
11.6%
2024-01-03 25
11.6%
2022-09-29 22
10.2%
2023-12-04 17
 
7.9%
2024-02-27 13
 
6.0%
2024-02-16 12
 
5.6%
2023-12-06 10
 
4.6%
2024-02-15 9
 
4.2%
2024-01-11 9
 
4.2%
Other values (15) 46
21.3%

Length

2024-05-10T21:36:31.643142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-06-26 28
13.0%
2023-11-23 25
11.6%
2024-01-03 25
11.6%
2022-09-29 22
10.2%
2023-12-04 17
 
7.9%
2024-02-27 13
 
6.0%
2024-02-16 12
 
5.6%
2023-12-06 10
 
4.6%
2024-02-15 9
 
4.2%
2024-01-11 9
 
4.2%
Other values (15) 46
21.3%

Interactions

2024-05-10T21:36:11.906281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:36:11.382951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:36:12.115916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:36:11.637221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:36:31.865552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주최기관명후원기관명홈페이지주소관련정보소재지도로명주소위도경도데이터기준일자
주최기관명1.0000.9930.9980.9660.9990.9850.9880.999
후원기관명0.9931.0000.9840.9260.9800.9940.9510.994
홈페이지주소0.9980.9841.0000.9930.9970.9980.9980.999
관련정보0.9660.9260.9931.0000.9821.0000.9951.000
소재지도로명주소0.9990.9800.9970.9821.0001.0001.0000.999
위도0.9850.9940.9981.0001.0001.0000.7950.956
경도0.9880.9510.9980.9951.0000.7951.0000.929
데이터기준일자0.9990.9940.9991.0000.9990.9560.9291.000
2024-05-10T21:36:32.171933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
후원기관명데이터기준일자관련정보
후원기관명1.0000.7830.613
데이터기준일자0.7831.0000.872
관련정보0.6130.8721.000
2024-05-10T21:36:32.437598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도후원기관명관련정보데이터기준일자
위도1.0000.0610.7110.8310.723
경도0.0611.0000.6050.8200.640
후원기관명0.7110.6051.0000.6130.783
관련정보0.8310.8200.6131.0000.872
데이터기준일자0.7230.6400.7830.8721.000

Missing values

2024-05-10T21:36:12.600901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:36:13.264293image/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.
2024-05-10T21:36:13.698569image/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

축제명개최장소축제시작일자축제종료일자축제내용주관기관명주최기관명후원기관명전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자
0백운계곡 뜬구름 축제백운계곡 일대2022-04-302022-05-22장작패기+무술체험+포천쿠키만들기+레트로포토존+뜬구름빵+행운쿠기체험 등백운계곡상권활성화사업단+백운계곡상인협동조합경기도시장상군진흥원<NA><NA><NA><NA>경기도 포천시 이동면 포화로148경기도 포천시 이동면 도평리 720번지38.070075127.4018622023-12-04
1억새꽃 축제산정호수+명성산 일대2022-10-152022-11-20작은버스킹+1년 후에 받는 편지 등경기도 포천시청+포천시문화재단경기도 포천시청+포천시문화재단경기도+경기관광공사<NA><NA><NA>경기도 포천시 영북면 산정호수로411번길 89경기도 포천시 영북면 산정리 191-1번지38.068866127.322112023-12-04
2포천 백운계곡 동장군 축제백운계곡 일대2022-12-242023-02-05ICE BIG TREE 포토존+얼음조각작품 전시+튜브 눈썰매+송어얼음 낚시동장군축제조직위원회경기도 포천시청<NA><NA><NA><NA>경기도 포천시 이동면 화동로 2381경기도 포천시 이동면 도평리 249번지38.054775127.3838692023-12-04
3제17회 구리 코스모스 축제구리한강 시민공원2017-09-222017-09-24무대공연+체험부스운영+먹거리 체험+꽃 관람(사)한국예총 구리지회경기도 구리시청경기도+한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
4제18회 구리 유채꽃 축제구리한강 시민공원2018-05-042018-05-06무대공연+체험부스운영+먹거리 체험+꽃 관람(사)한국예총 구리지회경기도 구리시청경기도+한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
5제18회 구리 코스모스 축제구리한강 시민공원2018-10-052018-10-07무대공연+체험부스운영+먹거리 체험+꽃 관람(사)한국예총 구리지회경기도 구리시청경기도+한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
6제19회 구리 유채꽃 축제구리한강 시민공원 및 시가지 일원2019-05-102019-05-12한강 꽃단지 체험 및 시가지 공연 등(사)한국예총 구리지회경기도 구리시청경기도+한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
7제19회 구리 코스모스 축제구리한강 시민공원 및 시가지 일원2019-09-272019-09-29한강 꽃단지 체험 및 시가지 공연 등(사)한국예총 구리지회경기도 구리시청경기도+한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
82023 구리 코스모스 한강예술제구리한강 시민공원2023-10-132023-10-15무대공연+체험부스운영+먹거리 체험+꽃 관람(사)구리문화원경기도 구리시청한국관광공사+경기관광공사031-550-2065http://www.guri.go.kr<NA>경기도 구리시 코스모스길14번길 249(토평동)경기도 구리시 토평동 81037.574478127.1328632023-12-04
9제61회 수원화성문화제행궁광장 등 수원화성 일원2024-10-042024-10-06정조대왕의 효심과 부국강병의 원대한 꿈으로 축성된 세계문화유산 수원화성에서 펼쳐지는 3일간의 행사경기도 수원시+(재)수원문화재단경기도 수원시<NA>031-228-3068https://www.swcf.or.kr/hlfl/<NA>경기도 수원시 팔달구 정조로 825경기도 수원시 팔달구 남창동 6-237.281883127.0143942024-02-05
축제명개최장소축제시작일자축제종료일자축제내용주관기관명주최기관명후원기관명전화번호홈페이지주소관련정보소재지도로명주소소재지지번주소위도경도데이터기준일자
206제11회 평택 가족캠핑 스마트영상제진위천유원지2023-08-122023-08-14영상제+캠핑+공연+체험평택시문화재단+(사)평택스마트영상제경기도 평택시청<NA>031-8053-3544https://pfff.kr/<NA>경기도 평택시 진위면 진위서로 264-15경기도 평택시 진위면 견산리 150-137.098145127.0864862024-02-16
207너른고을 대보름 놀이 한마당청석공원 일원2024-02-242024-02-24정월 대보름 놀이 한마당광주문화원광주문화원경기도 광주시청031-760-0686<NA><NA>경기도 광주시 파발로 38경기도 광주시 쌍령동 480-137.409869127.2620662024-02-05
2082017 광복기념음악회안양아트센터 관악홀2017-08-152017-08-15안양필하모닉 오케스트라연주+ 안양시립합창단 공연 등 (우천으로 안양아트센터 관악홀 실내 진행)(재)안양문화예술재단(재)안양문화예술재단경기도 안양시+ 티브로드abc방송031-687-0500http://www.ayac.or.kr안양예술공원+ APAP+ 김중업박물관경기도 안양시 만안구 문예로 36번길 16경기도 안양시 만안구 안양동 54937.384588126.9313652024-01-03
209지구촌 어울림 축제성남시청 광장 일대2024-05-192024-05-19세계 문화 전시 및 체험부스+식전·식후공연 등여성가족과(외국인주민복지지원센터)경기도 성남시<NA>031-729-3072<NA><NA>경기도 성남시 중원구 성남대로 997경기도 성남시 중원구 여수동 20037.420178127.126282024-02-27
210안산국제거리극축제안산문화광장 및 안산시 일대2022-05-052022-05-08순수예술축제경기도 안산시청경기도 안산시청경기도청031-481-0536https://www.ansanart.com/index.do안산문화광장경기도 안산시 단원구 광덕대로 157경기도 안산시 단원구 고잔동 80037.310742126.8298222023-11-23
211여르미오페스티벌화랑유원지 대공연장2023-09-022023-09-02대중예술축제안산문화재단안산문화재단<NA>031-481-0535https://www.ansanart.com/index.do<NA>경기도 안산시 단원구 동산로 268경기도 안산시 단원구 초지동 66737.325079126.809992023-11-23
212제1회 오산 크리스마스 마켓오산역광장+원동구도심상가2023-11-242023-12-24마켓운영+경관조명경기도 오산시청 문화예술과경기도 오산시청 문화예술과<NA>031-8036-7608https://www.osan.go.kr/main.do<NA>경기도 오산시 원동로37번길 37-1경기도 오산시 원동 79437.145359127.0702362023-12-04
213제4회 블랙뮤직페스티벌의정부시청앞 잔디광장 외2022-10-082022-10-22힙합장르를 중심으로 하는 의정부 대표 뮤직 페스티벌의정부문화재단의정부문화재단<NA>031-850-5145<NA><NA>경기도 의정부시 의정로 1경기도 의정부시 의정부동 32337.733386127.0341282023-06-26
214&amp;lt;사각사각&amp;gt; 展의정부미술도서관2023-04-122023-05-24우리가 살아가는 의정부의 모습과 시민들의 생각을 함께 공유하는 프로젝트의정부미술도서관의정부미술도서관<NA>031-828-8870<NA><NA>경기도 의정부시 민락로 248경기도 의정부시 민락동 855번지37.745147127.1061292023-06-26
2152024 파주북소리 축제아시아출판문화정보센터 등 출판도시 일원2024-05-042024-05-06강연/공연+전시·부스·체험 프로그램+동네책방 마을잔치+오픈하우스 등(재)출판도시문화재단경기도 파주시청<NA>031-940-4721http://pajubooksori.kr/<NA>경기도 파주시 회동길 145경기도 파주시 문발동 524-3 아시아출판문화정보센터37.708481126.6867932024-02-15