Overview

Dataset statistics

Number of variables27
Number of observations1648
Missing cells11045
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory357.4 KiB
Average record size in memory222.1 B

Variable types

Text14
Categorical1
DateTime5
Boolean1
Numeric6

Dataset

Description공공시설 개방 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=84E26Y8566L4VKXC5Z5012608120&infSeq=1

Alerts

사용기준시간 has 840 (51.0%) missing valuesMissing
사용료 has 949 (57.6%) missing valuesMissing
초과사용단위시간 has 1310 (79.5%) missing valuesMissing
초과사용료 has 1334 (80.9%) missing valuesMissing
수용가능인원수 has 768 (46.6%) missing valuesMissing
면적 has 849 (51.5%) missing valuesMissing
부대시설정보 has 1005 (61.0%) missing valuesMissing
신청방법구분 has 556 (33.7%) missing valuesMissing
시설사진정보 has 1331 (80.8%) missing valuesMissing
소재지도로명주소 has 109 (6.6%) missing valuesMissing
소재지지번주소 has 134 (8.1%) missing valuesMissing
담당부서명 has 588 (35.7%) missing valuesMissing
사용안내전화번호 has 562 (34.1%) missing valuesMissing
홈페이지주소 has 710 (43.1%) missing valuesMissing
면적 is highly skewed (γ1 = 28.13050164)Skewed
초과사용단위시간 has 54 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-11 02:49:31.784025
Analysis finished2024-04-11 02:49:34.088493
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방시설명
Text

Distinct1577
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-04-11T11:49:34.283728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length13.467233
Min length3

Characters and Unicode

Total characters22194
Distinct characters482
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1548 ?
Unique (%)93.9%

Sample

1st row군포시가야종합사회복지관 통합교육실
2nd row광정동청소년문화의집 청소년운영위원회실
3rd row광정동청소년문화의집 홀(A)
4th row광정동청소년문화의집 홀무대(B)
5th row광정동청소년문화의집 홀 전체(A+B)
ValueCountFrequency (%)
행정복지센터 131
 
3.4%
축구장 80
 
2.1%
체육시설 63
 
1.6%
회의실 57
 
1.5%
강의실 50
 
1.3%
화성도시공사 43
 
1.1%
1부 43
 
1.1%
족구장 40
 
1.0%
강당 40
 
1.0%
2층 38
 
1.0%
Other values (1459) 3240
84.7%
2024-04-11T11:49:34.750364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2181
 
9.8%
장 733
 
3.3%
터 603
 
2.7%
실 561
 
2.5%
동 510
 
2.3%
관 495
 
2.2%
센 475
 
2.1%
육 455
 
2.1%
체 433
 
2.0%
구 409
 
1.8%
Other values (472) 15339
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18769
84.6%
Space Separator 2181
 
9.8%
Decimal Number 683
 
3.1%
Open Punctuation 149
 
0.7%
Close Punctuation 149
 
0.7%
Uppercase Letter 103
 
0.5%
Connector Punctuation 79
 
0.4%
Other Punctuation 28
 
0.1%
Lowercase Letter 25
 
0.1%
Dash Punctuation 18
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 733
 
3.9%
터 603
 
3.2%
실 561
 
3.0%
동 510
 
2.7%
관 495
 
2.6%
센 475
 
2.5%
육 455
 
2.4%
체 433
 
2.3%
구 409
 
2.2%
시 386
 
2.1%
Other values (419) 13709
73.0%
Uppercase Letter
ValueCountFrequency (%)
A 18
17.5%
C 17
16.5%
B 17
16.5%
X 8
7.8%
G 8
7.8%
M 7
 
6.8%
D 6
 
5.8%
I 6
 
5.8%
Z 6
 
5.8%
S 4
 
3.9%
Other values (4) 6
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
r 3
12.0%
a 3
12.0%
t 3
12.0%
n 3
12.0%
m 2
8.0%
o 2
8.0%
p 2
8.0%
e 2
8.0%
y 1
 
4.0%
b 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
1 228
33.4%
2 193
28.3%
3 85
 
12.4%
0 49
 
7.2%
4 47
 
6.9%
5 42
 
6.1%
9 11
 
1.6%
6 11
 
1.6%
7 10
 
1.5%
8 7
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 6
21.4%
/ 6
21.4%
, 4
14.3%
· 4
14.3%
; 4
14.3%
: 2
 
7.1%
& 2
 
7.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
~ 2
40.0%
Space Separator
ValueCountFrequency (%)
2181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18763
84.5%
Common 3292
 
14.8%
Latin 133
 
0.6%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 733
 
3.9%
터 603
 
3.2%
실 561
 
3.0%
동 510
 
2.7%
관 495
 
2.6%
센 475
 
2.5%
육 455
 
2.4%
체 433
 
2.3%
구 409
 
2.2%
시 386
 
2.1%
Other values (417) 13703
73.0%
Latin
ValueCountFrequency (%)
A 18
13.5%
C 17
12.8%
B 17
12.8%
X 8
 
6.0%
G 8
 
6.0%
M 7
 
5.3%
D 6
 
4.5%
I 6
 
4.5%
Z 6
 
4.5%
S 4
 
3.0%
Other values (19) 36
27.1%
Common
ValueCountFrequency (%)
2181
66.3%
1 228
 
6.9%
2 193
 
5.9%
( 149
 
4.5%
) 149
 
4.5%
3 85
 
2.6%
_ 79
 
2.4%
0 49
 
1.5%
4 47
 
1.4%
5 42
 
1.3%
Other values (14) 90
 
2.7%
Han
ValueCountFrequency (%)
內 3
50.0%
休 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18763
84.5%
ASCII 3416
 
15.4%
CJK 6
 
< 0.1%
Number Forms 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2181
63.8%
1 228
 
6.7%
2 193
 
5.6%
( 149
 
4.4%
) 149
 
4.4%
3 85
 
2.5%
_ 79
 
2.3%
0 49
 
1.4%
4 47
 
1.4%
5 42
 
1.2%
Other values (40) 214
 
6.3%
Hangul
ValueCountFrequency (%)
장 733
 
3.9%
터 603
 
3.2%
실 561
 
3.0%
동 510
 
2.7%
관 495
 
2.6%
센 475
 
2.5%
육 455
 
2.4%
체 433
 
2.3%
구 409
 
2.2%
시 386
 
2.1%
Other values (417) 13703
73.0%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
內 3
50.0%
休 3
50.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%

개방장소명
Text

Distinct815
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-04-11T11:49:35.061042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.1856796
Min length3

Characters and Unicode

Total characters13490
Distinct characters380
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique504 ?
Unique (%)30.6%

Sample

1st row군포시가야종합사회복지관
2nd row광정동청소년문화의집
3rd row광정동청소년문화의집
4th row광정동청소년문화의집
5th row광정동청소년문화의집
ValueCountFrequency (%)
행정복지센터 169
 
7.7%
체육시설 55
 
2.5%
화성도시공사 43
 
2.0%
마을회관 32
 
1.5%
동탄목동이음터 23
 
1.1%
오산시 20
 
0.9%
다원이음터 20
 
0.9%
이천시 18
 
0.8%
종합운동장 17
 
0.8%
호평체육문화센터 16
 
0.7%
Other values (845) 1773
81.1%
2024-04-11T11:49:35.533546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 550
 
4.1%
538
 
4.0%
센 457
 
3.4%
동 457
 
3.4%
관 411
 
3.0%
육 343
 
2.5%
시 339
 
2.5%
체 339
 
2.5%
장 337
 
2.5%
지 337
 
2.5%
Other values (370) 9382
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12680
94.0%
Space Separator 538
 
4.0%
Decimal Number 171
 
1.3%
Uppercase Letter 67
 
0.5%
Lowercase Letter 11
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 7
 
0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 550
 
4.3%
센 457
 
3.6%
동 457
 
3.6%
관 411
 
3.2%
육 343
 
2.7%
시 339
 
2.7%
체 339
 
2.7%
장 337
 
2.7%
지 337
 
2.7%
화 307
 
2.4%
Other values (337) 8803
69.4%
Uppercase Letter
ValueCountFrequency (%)
C 15
22.4%
A 11
16.4%
B 11
16.4%
M 6
 
9.0%
Z 6
 
9.0%
D 6
 
9.0%
I 5
 
7.5%
K 3
 
4.5%
S 3
 
4.5%
L 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 61
35.7%
2 58
33.9%
3 22
 
12.9%
4 11
 
6.4%
5 9
 
5.3%
6 3
 
1.8%
7 3
 
1.8%
0 2
 
1.2%
8 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
27.3%
e 2
18.2%
t 1
 
9.1%
i 1
 
9.1%
b 1
 
9.1%
y 1
 
9.1%
n 1
 
9.1%
a 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
538
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12677
94.0%
Common 732
 
5.4%
Latin 78
 
0.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 550
 
4.3%
센 457
 
3.6%
동 457
 
3.6%
관 411
 
3.2%
육 343
 
2.7%
시 339
 
2.7%
체 339
 
2.7%
장 337
 
2.7%
지 337
 
2.7%
화 307
 
2.4%
Other values (336) 8800
69.4%
Latin
ValueCountFrequency (%)
C 15
19.2%
A 11
14.1%
B 11
14.1%
M 6
 
7.7%
Z 6
 
7.7%
D 6
 
7.7%
I 5
 
6.4%
r 3
 
3.8%
K 3
 
3.8%
S 3
 
3.8%
Other values (8) 9
11.5%
Common
ValueCountFrequency (%)
538
73.5%
1 61
 
8.3%
2 58
 
7.9%
3 22
 
3.0%
4 11
 
1.5%
5 9
 
1.2%
( 8
 
1.1%
) 7
 
1.0%
· 3
 
0.4%
6 3
 
0.4%
Other values (5) 12
 
1.6%
Han
ValueCountFrequency (%)
休 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12677
94.0%
ASCII 807
 
6.0%
None 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 550
 
4.3%
센 457
 
3.6%
동 457
 
3.6%
관 411
 
3.2%
육 343
 
2.7%
시 339
 
2.7%
체 339
 
2.7%
장 337
 
2.7%
지 337
 
2.7%
화 307
 
2.4%
Other values (336) 8800
69.4%
ASCII
ValueCountFrequency (%)
538
66.7%
1 61
 
7.6%
2 58
 
7.2%
3 22
 
2.7%
C 15
 
1.9%
A 11
 
1.4%
B 11
 
1.4%
4 11
 
1.4%
5 9
 
1.1%
( 8
 
1.0%
Other values (22) 63
 
7.8%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
休 3
100.0%

개방시설유형구분
Categorical

Distinct21
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
회의실
383 
기타
383 
강의실
176 
강당
138 
축구장
101 
Other values (16)
467 

Length

Max length6
Median length3
Mean length3.0048544
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
회의실 383
23.2%
기타 383
23.2%
강의실 176
10.7%
강당 138
 
8.4%
축구장 101
 
6.1%
다목적경기장 90
 
5.5%
테니스장 74
 
4.5%
체육관 65
 
3.9%
다목적실 65
 
3.9%
족구장 42
 
2.5%
Other values (11) 131
 
7.9%

Length

2024-04-11T11:49:35.706700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회의실 383
23.2%
기타 383
23.2%
강의실 176
10.7%
강당 138
 
8.4%
축구장 101
 
6.1%
다목적경기장 90
 
5.5%
테니스장 74
 
4.5%
체육관 65
 
3.9%
다목적실 65
 
3.9%
족구장 42
 
2.5%
Other values (11) 131
 
7.9%

휴관일
Text

Distinct156
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-04-11T11:49:35.968987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length8.5370146
Min length1

Characters and Unicode

Total characters14069
Distinct characters138
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)4.2%

Sample

1st row토+일
2nd row월
3rd row월
4th row월
5th row월
ValueCountFrequency (%)
연중무휴 445
 
14.6%
주 251
 
8.2%
공휴일 187
 
6.1%
연휴+추석 130
 
4.3%
토+일+공휴일 109
 
3.6%
1일+설 96
 
3.2%
연휴 96
 
3.2%
일+공휴일 87
 
2.9%
둘째 70
 
2.3%
첫째 67
 
2.2%
Other values (195) 1507
49.5%
2024-04-11T11:49:36.406723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1775
12.6%
휴 1631
 
11.6%
+ 1458
 
10.4%
1397
 
9.9%
연 901
 
6.4%
공 703
 
5.0%
월 508
 
3.6%
무 448
 
3.2%
중 447
 
3.2%
주 367
 
2.6%
Other values (128) 4434
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10500
74.6%
Math Symbol 1468
 
10.4%
Space Separator 1397
 
9.9%
Decimal Number 381
 
2.7%
Other Punctuation 169
 
1.2%
Open Punctuation 77
 
0.5%
Close Punctuation 77
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1775
16.9%
휴 1631
15.5%
연 901
 
8.6%
공 703
 
6.7%
월 508
 
4.8%
무 448
 
4.3%
중 447
 
4.3%
주 367
 
3.5%
째 331
 
3.2%
석 318
 
3.0%
Other values (112) 3071
29.2%
Decimal Number
ValueCountFrequency (%)
1 261
68.5%
3 94
 
24.7%
2 15
 
3.9%
8 4
 
1.0%
0 4
 
1.0%
7 2
 
0.5%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 158
93.5%
· 7
 
4.1%
: 3
 
1.8%
? 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 1458
99.3%
~ 10
 
0.7%
Space Separator
ValueCountFrequency (%)
1397
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10500
74.6%
Common 3569
 
25.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1775
16.9%
휴 1631
15.5%
연 901
 
8.6%
공 703
 
6.7%
월 508
 
4.8%
무 448
 
4.3%
중 447
 
4.3%
주 367
 
3.5%
째 331
 
3.2%
석 318
 
3.0%
Other values (112) 3071
29.2%
Common
ValueCountFrequency (%)
+ 1458
40.9%
1397
39.1%
1 261
 
7.3%
, 158
 
4.4%
3 94
 
2.6%
( 77
 
2.2%
) 77
 
2.2%
2 15
 
0.4%
~ 10
 
0.3%
· 7
 
0.2%
Other values (6) 15
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10496
74.6%
ASCII 3562
 
25.3%
None 7
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1775
16.9%
휴 1631
15.5%
연 901
 
8.6%
공 703
 
6.7%
월 508
 
4.8%
무 448
 
4.3%
중 447
 
4.3%
주 367
 
3.5%
째 331
 
3.2%
석 318
 
3.0%
Other values (111) 3067
29.2%
ASCII
ValueCountFrequency (%)
+ 1458
40.9%
1397
39.2%
1 261
 
7.3%
, 158
 
4.4%
3 94
 
2.6%
( 77
 
2.2%
) 77
 
2.2%
2 15
 
0.4%
~ 10
 
0.3%
8 4
 
0.1%
Other values (5) 11
 
0.3%
None
ValueCountFrequency (%)
· 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

평일운영시작시각
Date

Distinct20
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2024-04-11 00:00:00
Maximum2024-04-11 19:00:00
2024-04-11T11:49:36.556392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:49:36.690536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

평일운영종료시각
Date

Distinct20
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2024-04-11 00:00:00
Maximum2024-04-11 23:59:00
2024-04-11T11:49:36.836210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:49:36.962131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

주말운영시작시각
Date

Distinct20
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2024-04-11 00:00:00
Maximum2024-04-11 22:00:00
2024-04-11T11:49:37.087018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:49:37.246914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

주말운영종료시각
Date

Distinct19
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2024-04-11 00:00:00
Maximum2024-04-11 23:59:00
2024-04-11T11:49:37.389354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:49:37.510435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

유료사용여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
True
1075 
False
573 
ValueCountFrequency (%)
True 1075
65.2%
False 573
34.8%
2024-04-11T11:49:37.636006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용기준시간
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)1.6%
Missing840
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean2.6138614
Minimum0
Maximum24
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:37.756316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8609937
Coefficient of variation (CV)1.0945468
Kurtosis39.390062
Mean2.6138614
Median Absolute Deviation (MAD)0
Skewness5.8680719
Sum2112
Variance8.1852847
MonotonicityNot monotonic
2024-04-11T11:49:37.884460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 425
25.8%
1 169
 
10.3%
4 106
 
6.4%
3 72
 
4.4%
24 10
 
0.6%
8 8
 
0.5%
5 5
 
0.3%
6 4
 
0.2%
9 3
 
0.2%
12 3
 
0.2%
Other values (3) 3
 
0.2%
(Missing) 840
51.0%
ValueCountFrequency (%)
0 1
 
0.1%
1 169
 
10.3%
2 425
25.8%
3 72
 
4.4%
4 106
 
6.4%
5 5
 
0.3%
6 4
 
0.2%
8 8
 
0.5%
9 3
 
0.2%
12 3
 
0.2%
ValueCountFrequency (%)
24 10
 
0.6%
21 1
 
0.1%
16 1
 
0.1%
12 3
 
0.2%
9 3
 
0.2%
8 8
 
0.5%
6 4
 
0.2%
5 5
 
0.3%
4 106
6.4%
3 72
4.4%

사용료
Text

MISSING 

Distinct187
Distinct (%)26.8%
Missing949
Missing (%)57.6%
Memory size13.0 KiB
2024-04-11T11:49:38.172191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length48
Mean length11.071531
Min length1

Characters and Unicode

Total characters7739
Distinct characters106
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)15.3%

Sample

1st row(시간당)5000원
2nd row무료
3rd row무료
4th row무료
5th row무료
ValueCountFrequency (%)
0 92
 
9.0%
무료 81
 
7.9%
평일 37
 
3.6%
30000 36
 
3.5%
주간 27
 
2.6%
50000 26
 
2.5%
40000 26
 
2.5%
10000 24
 
2.3%
20000 24
 
2.3%
60000 22
 
2.1%
Other values (283) 629
61.4%
2024-04-11T11:49:38.651264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2866
37.0%
325
 
4.2%
( 319
 
4.1%
) 283
 
3.7%
+ 280
 
3.6%
1 256
 
3.3%
일 253
 
3.3%
간 227
 
2.9%
2 222
 
2.9%
5 211
 
2.7%
Other values (96) 2497
32.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4192
54.2%
Other Letter 2099
27.1%
Math Symbol 327
 
4.2%
Space Separator 325
 
4.2%
Open Punctuation 319
 
4.1%
Close Punctuation 283
 
3.7%
Other Punctuation 187
 
2.4%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 253
 
12.1%
간 227
 
10.8%
주 183
 
8.7%
원 166
 
7.9%
평 158
 
7.5%
야 111
 
5.3%
말 89
 
4.2%
료 85
 
4.0%
무 82
 
3.9%
시 70
 
3.3%
Other values (75) 675
32.2%
Decimal Number
ValueCountFrequency (%)
0 2866
68.4%
1 256
 
6.1%
2 222
 
5.3%
5 211
 
5.0%
3 170
 
4.1%
4 147
 
3.5%
6 110
 
2.6%
8 96
 
2.3%
7 70
 
1.7%
9 44
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 139
74.3%
, 19
 
10.2%
/ 18
 
9.6%
. 10
 
5.3%
· 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 280
85.6%
~ 47
 
14.4%
Space Separator
ValueCountFrequency (%)
325
100.0%
Open Punctuation
ValueCountFrequency (%)
( 319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5640
72.9%
Hangul 2099
 
27.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 253
 
12.1%
간 227
 
10.8%
주 183
 
8.7%
원 166
 
7.9%
평 158
 
7.5%
야 111
 
5.3%
말 89
 
4.2%
료 85
 
4.0%
무 82
 
3.9%
시 70
 
3.3%
Other values (75) 675
32.2%
Common
ValueCountFrequency (%)
0 2866
50.8%
325
 
5.8%
( 319
 
5.7%
) 283
 
5.0%
+ 280
 
5.0%
1 256
 
4.5%
2 222
 
3.9%
5 211
 
3.7%
3 170
 
3.0%
4 147
 
2.6%
Other values (11) 561
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5639
72.9%
Hangul 2099
 
27.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2866
50.8%
325
 
5.8%
( 319
 
5.7%
) 283
 
5.0%
+ 280
 
5.0%
1 256
 
4.5%
2 222
 
3.9%
5 211
 
3.7%
3 170
 
3.0%
4 147
 
2.6%
Other values (10) 560
 
9.9%
Hangul
ValueCountFrequency (%)
일 253
 
12.1%
간 227
 
10.8%
주 183
 
8.7%
원 166
 
7.9%
평 158
 
7.5%
야 111
 
5.3%
말 89
 
4.2%
료 85
 
4.0%
무 82
 
3.9%
시 70
 
3.3%
Other values (75) 675
32.2%
None
ValueCountFrequency (%)
· 1
100.0%

초과사용단위시간
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.1%
Missing1310
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean1.3032544
Minimum0
Maximum6
Zeros54
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:38.808158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0869695
Coefficient of variation (CV)0.83404244
Kurtosis3.1461073
Mean1.3032544
Median Absolute Deviation (MAD)0
Skewness1.5717303
Sum440.5
Variance1.1815027
MonotonicityNot monotonic
2024-04-11T11:49:38.957692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.0 181
 
11.0%
2.0 57
 
3.5%
0.0 54
 
3.3%
4.0 21
 
1.3%
3.0 13
 
0.8%
0.5 9
 
0.5%
6.0 3
 
0.2%
(Missing) 1310
79.5%
ValueCountFrequency (%)
0.0 54
 
3.3%
0.5 9
 
0.5%
1.0 181
11.0%
2.0 57
 
3.5%
3.0 13
 
0.8%
4.0 21
 
1.3%
6.0 3
 
0.2%
ValueCountFrequency (%)
6.0 3
 
0.2%
4.0 21
 
1.3%
3.0 13
 
0.8%
2.0 57
 
3.5%
1.0 181
11.0%
0.5 9
 
0.5%
0.0 54
 
3.3%

초과사용료
Text

MISSING 

Distinct58
Distinct (%)18.5%
Missing1334
Missing (%)80.9%
Memory size13.0 KiB
2024-04-11T11:49:39.169822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length3.3949045
Min length1

Characters and Unicode

Total characters1066
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

Unique24 ?
Unique (%)7.6%

Sample

1st row60000
2nd row3300
3rd row6600
4th row8000
5th row8000
ValueCountFrequency (%)
0 128
40.8%
10000 22
 
7.0%
5000 18
 
5.7%
3000 12
 
3.8%
30800 11
 
3.5%
6000 10
 
3.2%
70000 7
 
2.2%
30000 6
 
1.9%
18000 6
 
1.9%
4000 5
 
1.6%
Other values (48) 89
28.3%
2024-04-11T11:49:39.558949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 754
70.7%
5 72
 
6.8%
1 68
 
6.4%
2 41
 
3.8%
3 36
 
3.4%
8 32
 
3.0%
6 17
 
1.6%
7 17
 
1.6%
+ 14
 
1.3%
4 12
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1052
98.7%
Math Symbol 14
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 754
71.7%
5 72
 
6.8%
1 68
 
6.5%
2 41
 
3.9%
3 36
 
3.4%
8 32
 
3.0%
6 17
 
1.6%
7 17
 
1.6%
4 12
 
1.1%
9 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1066
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 754
70.7%
5 72
 
6.8%
1 68
 
6.4%
2 41
 
3.8%
3 36
 
3.4%
8 32
 
3.0%
6 17
 
1.6%
7 17
 
1.6%
+ 14
 
1.3%
4 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 754
70.7%
5 72
 
6.8%
1 68
 
6.4%
2 41
 
3.8%
3 36
 
3.4%
8 32
 
3.0%
6 17
 
1.6%
7 17
 
1.6%
+ 14
 
1.3%
4 12
 
1.1%

수용가능인원수
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)17.0%
Missing768
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean341.13864
Minimum0
Maximum40000
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:39.738157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116.75
median40
Q3100
95-th percentile990.05
Maximum40000
Range40000
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation2079.4369
Coefficient of variation (CV)6.0955774
Kurtosis213.85634
Mean341.13864
Median Absolute Deviation (MAD)30
Skewness13.508111
Sum300202
Variance4324058
MonotonicityNot monotonic
2024-04-11T11:49:39.923878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 89
 
5.4%
30 76
 
4.6%
20 65
 
3.9%
50 57
 
3.5%
10 54
 
3.3%
300 31
 
1.9%
12 30
 
1.8%
15 29
 
1.8%
16 25
 
1.5%
40 24
 
1.5%
Other values (140) 400
24.3%
(Missing) 768
46.6%
ValueCountFrequency (%)
0 2
 
0.1%
1 4
 
0.2%
2 2
 
0.1%
3 5
 
0.3%
4 4
 
0.2%
5 14
0.8%
6 16
1.0%
7 8
 
0.5%
8 20
1.2%
9 2
 
0.1%
ValueCountFrequency (%)
40000 1
0.1%
30000 1
0.1%
20000 1
0.1%
16000 2
0.1%
10000 2
0.1%
6900 1
0.1%
6700 1
0.1%
6000 1
0.1%
5000 1
0.1%
3200 1
0.1%

면적
Real number (ℝ)

MISSING  SKEWED 

Distinct582
Distinct (%)72.8%
Missing849
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean25725.745
Minimum1
Maximum15482234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:40.119382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q1131.5
median663
Q33656.5
95-th percentile29300
Maximum15482234
Range15482233
Interquartile range (IQR)3525

Descriptive statistics

Standard deviation548401.6
Coefficient of variation (CV)21.317229
Kurtosis793.72738
Mean25725.745
Median Absolute Deviation (MAD)598.96
Skewness28.130502
Sum20554870
Variance3.0074432 × 1011
MonotonicityNot monotonic
2024-04-11T11:49:40.316558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1593.22 8
 
0.5%
1403.0 6
 
0.4%
800.0 6
 
0.4%
450.0 5
 
0.3%
99.0 5
 
0.3%
918.0 4
 
0.2%
6400.0 4
 
0.2%
7140.0 4
 
0.2%
19771.0 4
 
0.2%
2268.0 4
 
0.2%
Other values (572) 749
45.4%
(Missing) 849
51.5%
ValueCountFrequency (%)
1.0 1
 
0.1%
2.874 1
 
0.1%
4.876 1
 
0.1%
10.93 1
 
0.1%
11.5 1
 
0.1%
12.0 1
 
0.1%
12.1 4
0.2%
12.92 1
 
0.1%
15.0 2
0.1%
16.94 1
 
0.1%
ValueCountFrequency (%)
15482234.0 1
 
0.1%
799022.0 1
 
0.1%
158101.0 1
 
0.1%
142200.0 1
 
0.1%
102066.21 3
0.2%
74115.0 4
0.2%
67400.0 1
 
0.1%
66879.0 1
 
0.1%
60460.0 1
 
0.1%
59406.0 1
 
0.1%

부대시설정보
Text

MISSING 

Distinct395
Distinct (%)61.4%
Missing1005
Missing (%)61.0%
Memory size13.0 KiB
2024-04-11T11:49:40.559544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length36
Mean length13.975117
Min length2

Characters and Unicode

Total characters8986
Distinct characters308
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)48.7%

Sample

1st row빔+스크린+인터넷+화이트보드
2nd row무선인터넷
3rd row빔프로젝트+스크린+무선인터넷+게임용컴퓨터+보드게임
4th row무선인터넷+미니당구대
5th row빔프로젝트+스크린+무선인터넷+게임용컴퓨터+보드게임+미니당구대
ValueCountFrequency (%)
주차가능 83
 
9.0%
음향기기 18
 
2.0%
등 17
 
1.9%
냉난방시설+음향시설 14
 
1.5%
책상+의자 11
 
1.2%
조명시설 11
 
1.2%
의자 11
 
1.2%
및 10
 
1.1%
책상 9
 
1.0%
마이크 8
 
0.9%
Other values (484) 726
79.1%
2024-04-11T11:49:41.013938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1073
 
11.9%
277
 
3.1%
개 212
 
2.4%
터 196
 
2.2%
장 188
 
2.1%
음 188
 
2.1%
자 185
 
2.1%
기 178
 
2.0%
향 175
 
1.9%
의 169
 
1.9%
Other values (298) 6145
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6763
75.3%
Math Symbol 1076
 
12.0%
Decimal Number 511
 
5.7%
Space Separator 277
 
3.1%
Uppercase Letter 111
 
1.2%
Open Punctuation 82
 
0.9%
Close Punctuation 81
 
0.9%
Other Punctuation 74
 
0.8%
Lowercase Letter 10
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 212
 
3.1%
터 196
 
2.9%
장 188
 
2.8%
음 188
 
2.8%
자 185
 
2.7%
기 178
 
2.6%
향 175
 
2.6%
의 169
 
2.5%
이 165
 
2.4%
프 150
 
2.2%
Other values (266) 4957
73.3%
Decimal Number
ValueCountFrequency (%)
1 152
29.7%
2 111
21.7%
0 84
16.4%
4 44
 
8.6%
3 41
 
8.0%
5 27
 
5.3%
6 24
 
4.7%
8 15
 
2.9%
7 9
 
1.8%
9 4
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
V 30
27.0%
T 28
25.2%
C 26
23.4%
P 16
14.4%
L 3
 
2.7%
H 3
 
2.7%
R 2
 
1.8%
D 2
 
1.8%
J 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 67
90.5%
/ 3
 
4.1%
: 3
 
4.1%
* 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
m 4
40.0%
x 3
30.0%
u 3
30.0%
Math Symbol
ValueCountFrequency (%)
+ 1073
99.7%
= 3
 
0.3%
Space Separator
ValueCountFrequency (%)
277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6763
75.3%
Common 2102
 
23.4%
Latin 121
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 212
 
3.1%
터 196
 
2.9%
장 188
 
2.8%
음 188
 
2.8%
자 185
 
2.7%
기 178
 
2.6%
향 175
 
2.6%
의 169
 
2.5%
이 165
 
2.4%
프 150
 
2.2%
Other values (266) 4957
73.3%
Common
ValueCountFrequency (%)
+ 1073
51.0%
277
 
13.2%
1 152
 
7.2%
2 111
 
5.3%
0 84
 
4.0%
( 82
 
3.9%
) 81
 
3.9%
, 67
 
3.2%
4 44
 
2.1%
3 41
 
2.0%
Other values (10) 90
 
4.3%
Latin
ValueCountFrequency (%)
V 30
24.8%
T 28
23.1%
C 26
21.5%
P 16
13.2%
m 4
 
3.3%
x 3
 
2.5%
u 3
 
2.5%
L 3
 
2.5%
H 3
 
2.5%
R 2
 
1.7%
Other values (2) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6763
75.3%
ASCII 2223
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1073
48.3%
277
 
12.5%
1 152
 
6.8%
2 111
 
5.0%
0 84
 
3.8%
( 82
 
3.7%
) 81
 
3.6%
, 67
 
3.0%
4 44
 
2.0%
3 41
 
1.8%
Other values (22) 211
 
9.5%
Hangul
ValueCountFrequency (%)
개 212
 
3.1%
터 196
 
2.9%
장 188
 
2.8%
음 188
 
2.8%
자 185
 
2.7%
기 178
 
2.6%
향 175
 
2.6%
의 169
 
2.5%
이 165
 
2.4%
프 150
 
2.2%
Other values (266) 4957
73.3%

신청방법구분
Text

MISSING 

Distinct65
Distinct (%)6.0%
Missing556
Missing (%)33.7%
Memory size13.0 KiB
2024-04-11T11:49:41.660861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.7371795
Min length2

Characters and Unicode

Total characters5173
Distinct characters77
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

Unique18 ?
Unique (%)1.6%

Sample

1st row인터넷+전화+이메일+방문
2nd row전화+방문
3rd row전화+방문
4th row전화+방문
5th row전화+방문
ValueCountFrequency (%)
인터넷 297
25.8%
방문+전화 198
17.2%
방문 111
 
9.6%
인터넷+방문 52
 
4.5%
전화+방문 43
 
3.7%
홈페이지 35
 
3.0%
인터넷+전화+방문 33
 
2.9%
이용 27
 
2.3%
선착순 27
 
2.3%
인터넷/방문 27
 
2.3%
Other values (60) 303
26.3%
2024-04-11T11:49:42.071021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 570
11.0%
문 566
10.9%
+ 545
10.5%
인 502
9.7%
넷 453
8.8%
터 453
8.8%
전 372
 
7.2%
화 372
 
7.2%
이 177
 
3.4%
일 78
 
1.5%
Other values (67) 1085
21.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4457
86.2%
Math Symbol 545
 
10.5%
Space Separator 61
 
1.2%
Lowercase Letter 40
 
0.8%
Other Punctuation 39
 
0.8%
Close Punctuation 14
 
0.3%
Open Punctuation 14
 
0.3%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 570
12.8%
문 566
12.7%
인 502
11.3%
넷 453
10.2%
터 453
10.2%
전 372
8.3%
화 372
8.3%
이 177
 
4.0%
일 78
 
1.8%
홈 70
 
1.6%
Other values (55) 844
18.9%
Lowercase Letter
ValueCountFrequency (%)
k 16
40.0%
i 8
20.0%
o 8
20.0%
s 8
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 31
79.5%
. 8
 
20.5%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 545
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4457
86.2%
Common 676
 
13.1%
Latin 40
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 570
12.8%
문 566
12.7%
인 502
11.3%
넷 453
10.2%
터 453
10.2%
전 372
8.3%
화 372
8.3%
이 177
 
4.0%
일 78
 
1.8%
홈 70
 
1.6%
Other values (55) 844
18.9%
Common
ValueCountFrequency (%)
+ 545
80.6%
61
 
9.0%
/ 31
 
4.6%
) 14
 
2.1%
( 14
 
2.1%
. 8
 
1.2%
0 2
 
0.3%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
k 16
40.0%
i 8
20.0%
o 8
20.0%
s 8
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4457
86.2%
ASCII 716
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 570
12.8%
문 566
12.7%
인 502
11.3%
넷 453
10.2%
터 453
10.2%
전 372
8.3%
화 372
8.3%
이 177
 
4.0%
일 78
 
1.8%
홈 70
 
1.6%
Other values (55) 844
18.9%
ASCII
ValueCountFrequency (%)
+ 545
76.1%
61
 
8.5%
/ 31
 
4.3%
k 16
 
2.2%
) 14
 
2.0%
( 14
 
2.0%
i 8
 
1.1%
o 8
 
1.1%
s 8
 
1.1%
. 8
 
1.1%
Other values (2) 3
 
0.4%

시설사진정보
Text

MISSING 

Distinct79
Distinct (%)24.9%
Missing1331
Missing (%)80.8%
Memory size13.0 KiB
2024-04-11T11:49:42.391128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length298
Median length65
Mean length46.028391
Min length15

Characters and Unicode

Total characters14591
Distinct characters61
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)9.1%

Sample

1st rowhttps://www.ncuc.or.kr/bn/582
2nd rowhttps://www.ncuc.or.kr/bn/582
3rd rowhttps://www.ncuc.or.kr/bn/582
4th rowhttps://www.ncuc.or.kr/bn/582
5th rowhttps://www.ncuc.or.kr/hp/345
ValueCountFrequency (%)
https://www.yjuc.or.kr/sub/content.asp?cidx=15 31
 
9.8%
https://sports.isdc.co.kr 28
 
8.8%
https://www.ansanuc.net/homenew/12066/40303/contents.do 19
 
6.0%
https://www.yongin.go.kr/user/web/publicalsfc/bd_selectpublicalsfclist.do 18
 
5.7%
https://spo.isdc.co.kr/sns_centerfacguide.do 10
 
3.2%
http://hd.ncuc.co.kr/sub/sub1_1.php 8
 
2.5%
https://wm.ansan.go.kr/culture/cultureinfo/selectculcenterfacility.do 8
 
2.5%
https://www.gcuc.or.kr/fmcs/295 8
 
2.5%
https://www.ncuc.or.kr/hd/451 8
 
2.5%
https://www.ncuc.or.kr/hp/345 7
 
2.2%
Other values (69) 172
54.3%
2024-04-11T11:49:42.922848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1400
 
9.6%
. 1144
 
7.8%
t 1118
 
7.7%
s 891
 
6.1%
o 784
 
5.4%
c 759
 
5.2%
n 703
 
4.8%
r 684
 
4.7%
w 653
 
4.5%
p 620
 
4.2%
Other values (51) 5835
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10039
68.8%
Other Punctuation 2976
 
20.4%
Decimal Number 996
 
6.8%
Uppercase Letter 319
 
2.2%
Connector Punctuation 159
 
1.1%
Math Symbol 93
 
0.6%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1118
 
11.1%
s 891
 
8.9%
o 784
 
7.8%
c 759
 
7.6%
n 703
 
7.0%
r 684
 
6.8%
w 653
 
6.5%
p 620
 
6.2%
e 535
 
5.3%
u 427
 
4.3%
Other values (15) 2865
28.5%
Uppercase Letter
ValueCountFrequency (%)
I 64
20.1%
A 40
12.5%
F 35
11.0%
C 33
10.3%
L 30
9.4%
P 26
8.2%
D 26
8.2%
B 22
 
6.9%
G 11
 
3.4%
N 7
 
2.2%
Other values (7) 25
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 231
23.2%
0 213
21.4%
2 114
11.4%
5 104
10.4%
3 92
 
9.2%
4 91
 
9.1%
6 85
 
8.5%
8 28
 
2.8%
9 27
 
2.7%
7 11
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 1400
47.0%
. 1144
38.4%
: 313
 
10.5%
? 71
 
2.4%
& 24
 
0.8%
; 24
 
0.8%
Connector Punctuation
ValueCountFrequency (%)
_ 159
100.0%
Math Symbol
ValueCountFrequency (%)
= 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10358
71.0%
Common 4233
29.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1118
 
10.8%
s 891
 
8.6%
o 784
 
7.6%
c 759
 
7.3%
n 703
 
6.8%
r 684
 
6.6%
w 653
 
6.3%
p 620
 
6.0%
e 535
 
5.2%
u 427
 
4.1%
Other values (32) 3184
30.7%
Common
ValueCountFrequency (%)
/ 1400
33.1%
. 1144
27.0%
: 313
 
7.4%
1 231
 
5.5%
0 213
 
5.0%
_ 159
 
3.8%
2 114
 
2.7%
5 104
 
2.5%
= 93
 
2.2%
3 92
 
2.2%
Other values (9) 370
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1400
 
9.6%
. 1144
 
7.8%
t 1118
 
7.7%
s 891
 
6.1%
o 784
 
5.4%
c 759
 
5.2%
n 703
 
4.8%
r 684
 
4.7%
w 653
 
4.5%
p 620
 
4.2%
Other values (51) 5835
40.0%

소재지도로명주소
Text

MISSING 

Distinct694
Distinct (%)45.1%
Missing109
Missing (%)6.6%
Memory size13.0 KiB
2024-04-11T11:49:43.258038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length20.807667
Min length12

Characters and Unicode

Total characters32023
Distinct characters292
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

Unique372 ?
Unique (%)24.2%

Sample

1st row경기도 군포시 번영로 331-1
2nd row경기도 군포시 광정로 106 (산본동)
3rd row경기도 군포시 광정로 106 (산본동)
4th row경기도 군포시 광정로 106 (산본동)
5th row경기도 군포시 광정로 106 (산본동)
ValueCountFrequency (%)
경기도 1538
 
20.8%
수원시 238
 
3.2%
화성시 235
 
3.2%
고양시 155
 
2.1%
안성시 97
 
1.3%
남양주시 81
 
1.1%
군포시 78
 
1.1%
성남시 66
 
0.9%
장안구 61
 
0.8%
권선구 61
 
0.8%
Other values (1230) 4798
64.8%
2024-04-11T11:49:43.795533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5869
 
18.3%
도 1601
 
5.0%
경 1572
 
4.9%
기 1571
 
4.9%
시 1519
 
4.7%
로 1428
 
4.5%
1 1151
 
3.6%
2 746
 
2.3%
동 665
 
2.1%
구 581
 
1.8%
Other values (282) 15320
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19861
62.0%
Space Separator 5869
 
18.3%
Decimal Number 5214
 
16.3%
Close Punctuation 389
 
1.2%
Open Punctuation 389
 
1.2%
Dash Punctuation 269
 
0.8%
Other Punctuation 22
 
0.1%
Uppercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1601
 
8.1%
경 1572
 
7.9%
기 1571
 
7.9%
시 1519
 
7.6%
로 1428
 
7.2%
동 665
 
3.3%
구 581
 
2.9%
길 475
 
2.4%
성 465
 
2.3%
산 433
 
2.2%
Other values (265) 9551
48.1%
Decimal Number
ValueCountFrequency (%)
1 1151
22.1%
2 746
14.3%
3 531
10.2%
5 475
9.1%
4 458
 
8.8%
6 442
 
8.5%
0 368
 
7.1%
8 356
 
6.8%
7 354
 
6.8%
9 333
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
80.0%
H 2
 
20.0%
Space Separator
ValueCountFrequency (%)
5869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 269
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19861
62.0%
Common 12152
37.9%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1601
 
8.1%
경 1572
 
7.9%
기 1571
 
7.9%
시 1519
 
7.6%
로 1428
 
7.2%
동 665
 
3.3%
구 581
 
2.9%
길 475
 
2.4%
성 465
 
2.3%
산 433
 
2.2%
Other values (265) 9551
48.1%
Common
ValueCountFrequency (%)
5869
48.3%
1 1151
 
9.5%
2 746
 
6.1%
3 531
 
4.4%
5 475
 
3.9%
4 458
 
3.8%
6 442
 
3.6%
) 389
 
3.2%
( 389
 
3.2%
0 368
 
3.0%
Other values (5) 1334
 
11.0%
Latin
ValueCountFrequency (%)
B 8
80.0%
H 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19861
62.0%
ASCII 12162
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5869
48.3%
1 1151
 
9.5%
2 746
 
6.1%
3 531
 
4.4%
5 475
 
3.9%
4 458
 
3.8%
6 442
 
3.6%
) 389
 
3.2%
( 389
 
3.2%
0 368
 
3.0%
Other values (7) 1344
 
11.1%
Hangul
ValueCountFrequency (%)
도 1601
 
8.1%
경 1572
 
7.9%
기 1571
 
7.9%
시 1519
 
7.6%
로 1428
 
7.2%
동 665
 
3.3%
구 581
 
2.9%
길 475
 
2.4%
성 465
 
2.3%
산 433
 
2.2%
Other values (265) 9551
48.1%

소재지지번주소
Text

MISSING 

Distinct663
Distinct (%)43.8%
Missing134
Missing (%)8.1%
Memory size13.0 KiB
2024-04-11T11:49:44.201681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length20.889036
Min length15

Characters and Unicode

Total characters31626
Distinct characters248
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)22.8%

Sample

1st row경기도 군포시 산본동 1155-7번지
2nd row경기도 군포시 산본동 1120-2번지
3rd row경기도 군포시 산본동 1120-2번지
4th row경기도 군포시 산본동 1120-2번지
5th row경기도 군포시 산본동 1120-2번지
ValueCountFrequency (%)
경기도 1514
 
21.5%
수원시 238
 
3.4%
화성시 235
 
3.3%
고양시 155
 
2.2%
안성시 86
 
1.2%
군포시 78
 
1.1%
남양주시 72
 
1.0%
성남시 65
 
0.9%
장안구 61
 
0.9%
권선구 61
 
0.9%
Other values (1160) 4487
63.6%
2024-04-11T11:49:44.783609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5538
17.5%
지 1590
 
5.0%
도 1562
 
4.9%
기 1526
 
4.8%
경 1516
 
4.8%
번 1513
 
4.8%
시 1475
 
4.7%
동 1273
 
4.0%
1 1112
 
3.5%
2 769
 
2.4%
Other values (238) 13752
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19861
62.8%
Space Separator 5538
 
17.5%
Decimal Number 5481
 
17.3%
Dash Punctuation 736
 
2.3%
Uppercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1590
 
8.0%
도 1562
 
7.9%
기 1526
 
7.7%
경 1516
 
7.6%
번 1513
 
7.6%
시 1475
 
7.4%
동 1273
 
6.4%
구 589
 
3.0%
성 429
 
2.2%
양 421
 
2.1%
Other values (224) 7967
40.1%
Decimal Number
ValueCountFrequency (%)
1 1112
20.3%
2 769
14.0%
3 571
10.4%
5 520
9.5%
8 452
8.2%
0 421
 
7.7%
6 418
 
7.6%
4 408
 
7.4%
9 405
 
7.4%
7 405
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
80.0%
H 2
 
20.0%
Space Separator
ValueCountFrequency (%)
5538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 736
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19861
62.8%
Common 11755
37.2%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1590
 
8.0%
도 1562
 
7.9%
기 1526
 
7.7%
경 1516
 
7.6%
번 1513
 
7.6%
시 1475
 
7.4%
동 1273
 
6.4%
구 589
 
3.0%
성 429
 
2.2%
양 421
 
2.1%
Other values (224) 7967
40.1%
Common
ValueCountFrequency (%)
5538
47.1%
1 1112
 
9.5%
2 769
 
6.5%
- 736
 
6.3%
3 571
 
4.9%
5 520
 
4.4%
8 452
 
3.8%
0 421
 
3.6%
6 418
 
3.6%
4 408
 
3.5%
Other values (2) 810
 
6.9%
Latin
ValueCountFrequency (%)
B 8
80.0%
H 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19861
62.8%
ASCII 11765
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5538
47.1%
1 1112
 
9.5%
2 769
 
6.5%
- 736
 
6.3%
3 571
 
4.9%
5 520
 
4.4%
8 452
 
3.8%
0 421
 
3.6%
6 418
 
3.6%
4 408
 
3.5%
Other values (4) 820
 
7.0%
Hangul
ValueCountFrequency (%)
지 1590
 
8.0%
도 1562
 
7.9%
기 1526
 
7.7%
경 1516
 
7.6%
번 1513
 
7.6%
시 1475
 
7.4%
동 1273
 
6.4%
구 589
 
3.0%
성 429
 
2.2%
양 421
 
2.1%
Other values (224) 7967
40.1%

관리기관명
Text

Distinct289
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
2024-04-11T11:49:45.107936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.039442
Min length3

Characters and Unicode

Total characters16545
Distinct characters243
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

Unique89 ?
Unique (%)5.4%

Sample

1st row군포시가야종합사회복지관
2nd row광정동청소년문화의집
3rd row광정동청소년문화의집
4th row광정동청소년문화의집
5th row광정동청소년문화의집
ValueCountFrequency (%)
경기도 904
28.6%
수원시 242
 
7.7%
행정복지센터 90
 
2.8%
용인시 88
 
2.8%
남양주도시공사 81
 
2.6%
안성시청 73
 
2.3%
고양도시관리공사 63
 
2.0%
처인구청 56
 
1.8%
양주도시공사 53
 
1.7%
고양시청 53
 
1.7%
Other values (298) 1460
46.2%
2024-04-11T11:49:45.612513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1515
 
9.2%
시 1397
 
8.4%
도 1375
 
8.3%
기 936
 
5.7%
경 926
 
5.6%
청 546
 
3.3%
사 449
 
2.7%
공 447
 
2.7%
원 375
 
2.3%
터 365
 
2.2%
Other values (233) 8214
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14901
90.1%
Space Separator 1515
 
9.2%
Decimal Number 111
 
0.7%
Other Punctuation 10
 
0.1%
Uppercase Letter 6
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1397
 
9.4%
도 1375
 
9.2%
기 936
 
6.3%
경 926
 
6.2%
청 546
 
3.7%
사 449
 
3.0%
공 447
 
3.0%
원 375
 
2.5%
터 365
 
2.4%
동 340
 
2.3%
Other values (219) 7745
52.0%
Decimal Number
ValueCountFrequency (%)
1 39
35.1%
2 36
32.4%
3 14
 
12.6%
5 8
 
7.2%
4 7
 
6.3%
6 3
 
2.7%
8 2
 
1.8%
7 2
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
S 3
50.0%
Space Separator
ValueCountFrequency (%)
1515
100.0%
Other Punctuation
ValueCountFrequency (%)
· 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14901
90.1%
Common 1638
 
9.9%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1397
 
9.4%
도 1375
 
9.2%
기 936
 
6.3%
경 926
 
6.2%
청 546
 
3.7%
사 449
 
3.0%
공 447
 
3.0%
원 375
 
2.5%
터 365
 
2.4%
동 340
 
2.3%
Other values (219) 7745
52.0%
Common
ValueCountFrequency (%)
1515
92.5%
1 39
 
2.4%
2 36
 
2.2%
3 14
 
0.9%
· 10
 
0.6%
5 8
 
0.5%
4 7
 
0.4%
6 3
 
0.2%
8 2
 
0.1%
7 2
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
K 3
50.0%
S 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14901
90.1%
ASCII 1634
 
9.9%
None 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1515
92.7%
1 39
 
2.4%
2 36
 
2.2%
3 14
 
0.9%
5 8
 
0.5%
4 7
 
0.4%
K 3
 
0.2%
S 3
 
0.2%
6 3
 
0.2%
8 2
 
0.1%
Other values (3) 4
 
0.2%
Hangul
ValueCountFrequency (%)
시 1397
 
9.4%
도 1375
 
9.2%
기 936
 
6.3%
경 926
 
6.2%
청 546
 
3.7%
사 449
 
3.0%
공 447
 
3.0%
원 375
 
2.5%
터 365
 
2.4%
동 340
 
2.3%
Other values (219) 7745
52.0%
None
ValueCountFrequency (%)
· 10
100.0%

담당부서명
Text

MISSING 

Distinct174
Distinct (%)16.4%
Missing588
Missing (%)35.7%
Memory size13.0 KiB
2024-04-11T11:49:45.918205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.1707547
Min length2

Characters and Unicode

Total characters6541
Distinct characters188
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

Unique43 ?
Unique (%)4.1%

Sample

1st row체육진흥과
2nd row체육진흥과
3rd row체육진흥과
4th row체육진흥과
5th row탄현청소년문화의집
ValueCountFrequency (%)
자치행정과 93
 
8.2%
문화체육관광과 49
 
4.3%
체육시설1부 43
 
3.8%
체육문화2처 41
 
3.6%
평생학습과 32
 
2.8%
체육과 25
 
2.2%
국민체육센터 22
 
1.9%
체육진흥과 22
 
1.9%
총무팀 22
 
1.9%
도서관과 20
 
1.8%
Other values (172) 763
67.4%
2024-04-11T11:49:46.422385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
육 450
 
6.9%
체 431
 
6.6%
과 357
 
5.5%
팀 221
 
3.4%
화 220
 
3.4%
관 217
 
3.3%
문 196
 
3.0%
시 186
 
2.8%
터 177
 
2.7%
센 177
 
2.7%
Other values (178) 3909
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6298
96.3%
Decimal Number 159
 
2.4%
Space Separator 72
 
1.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 450
 
7.1%
체 431
 
6.8%
과 357
 
5.7%
팀 221
 
3.5%
화 220
 
3.5%
관 217
 
3.4%
문 196
 
3.1%
시 186
 
3.0%
터 177
 
2.8%
센 177
 
2.8%
Other values (172) 3666
58.2%
Decimal Number
ValueCountFrequency (%)
1 85
53.5%
2 61
38.4%
3 13
 
8.2%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6298
96.3%
Common 243
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 450
 
7.1%
체 431
 
6.8%
과 357
 
5.7%
팀 221
 
3.5%
화 220
 
3.5%
관 217
 
3.4%
문 196
 
3.1%
시 186
 
3.0%
터 177
 
2.8%
센 177
 
2.8%
Other values (172) 3666
58.2%
Common
ValueCountFrequency (%)
1 85
35.0%
72
29.6%
2 61
25.1%
3 13
 
5.3%
( 6
 
2.5%
) 6
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6298
96.3%
ASCII 243
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
육 450
 
7.1%
체 431
 
6.8%
과 357
 
5.7%
팀 221
 
3.5%
화 220
 
3.5%
관 217
 
3.4%
문 196
 
3.1%
시 186
 
3.0%
터 177
 
2.8%
센 177
 
2.8%
Other values (172) 3666
58.2%
ASCII
ValueCountFrequency (%)
1 85
35.0%
72
29.6%
2 61
25.1%
3 13
 
5.3%
( 6
 
2.5%
) 6
 
2.5%

사용안내전화번호
Text

MISSING 

Distinct399
Distinct (%)36.7%
Missing562
Missing (%)34.1%
Memory size13.0 KiB
2024-04-11T11:49:46.720255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.116943
Min length11

Characters and Unicode

Total characters13159
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

Unique231 ?
Unique (%)21.3%

Sample

1st row031-631-7939
2nd row031-644-4317
3rd row031-631-7400
4th row031-631-7400
5th row031-995-4220
ValueCountFrequency (%)
031-324-5051 55
 
5.1%
031-678-6868 48
 
4.4%
031-970-2175 36
 
3.3%
031-828-9832 31
 
2.9%
031-940-5241 25
 
2.3%
031-324-6051 18
 
1.7%
031-839-2621 17
 
1.6%
031-560-1401 16
 
1.5%
031-560-1431 16
 
1.5%
031-839-2664 13
 
1.2%
Other values (389) 811
74.7%
2024-04-11T11:49:47.216863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2172
16.5%
0 2101
16.0%
1 1702
12.9%
3 1672
12.7%
8 992
7.5%
2 901
6.8%
6 833
 
6.3%
7 782
 
5.9%
5 726
 
5.5%
4 671
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10987
83.5%
Dash Punctuation 2172
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2101
19.1%
1 1702
15.5%
3 1672
15.2%
8 992
9.0%
2 901
8.2%
6 833
 
7.6%
7 782
 
7.1%
5 726
 
6.6%
4 671
 
6.1%
9 607
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 2172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13159
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2172
16.5%
0 2101
16.0%
1 1702
12.9%
3 1672
12.7%
8 992
7.5%
2 901
6.8%
6 833
 
6.3%
7 782
 
5.9%
5 726
 
5.5%
4 671
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2172
16.5%
0 2101
16.0%
1 1702
12.9%
3 1672
12.7%
8 992
7.5%
2 901
6.8%
6 833
 
6.3%
7 782
 
5.9%
5 726
 
5.5%
4 671
 
5.1%

홈페이지주소
Text

MISSING 

Distinct205
Distinct (%)21.9%
Missing710
Missing (%)43.1%
Memory size13.0 KiB
2024-04-11T11:49:47.532122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length62.5
Mean length29.156716
Min length10

Characters and Unicode

Total characters27349
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)7.5%

Sample

1st rowwww.gayawel.or.kr
2nd rowwww.gjycc21.or.kr
3rd rowwww.gjycc21.or.kr
4th rowwww.gjycc21.or.kr
5th rowwww.gjycc21.or.kr
ValueCountFrequency (%)
https://share.gg.go.kr/index 97
 
10.3%
www.yjuc.or.kr 37
 
3.9%
https://sports.isdc.co.kr 28
 
3.0%
share.gg.go.kr 28
 
3.0%
https://www.gjcity.go.kr/portal/athletefac/callist.do?mid=0408010100 26
 
2.8%
http://www.paju.go.kr 25
 
2.7%
www.uilib.go.kr 20
 
2.1%
http://www.ansanuc.net 19
 
2.0%
www.gunpocf.or.kr 18
 
1.9%
https://www.yongin.go.kr/user/web/publicalsfc/bd_selectpublicalsfclist.do 18
 
1.9%
Other values (194) 622
66.3%
2024-04-11T11:49:48.092335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2969
 
10.9%
/ 2427
 
8.9%
t 1905
 
7.0%
w 1813
 
6.6%
r 1738
 
6.4%
o 1568
 
5.7%
s 1325
 
4.8%
g 1214
 
4.4%
p 1055
 
3.9%
h 1004
 
3.7%
Other values (55) 10331
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19935
72.9%
Other Punctuation 6164
 
22.5%
Decimal Number 789
 
2.9%
Uppercase Letter 339
 
1.2%
Math Symbol 65
 
0.2%
Connector Punctuation 46
 
0.2%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1905
 
9.6%
w 1813
 
9.1%
r 1738
 
8.7%
o 1568
 
7.9%
s 1325
 
6.6%
g 1214
 
6.1%
p 1055
 
5.3%
h 1004
 
5.0%
k 971
 
4.9%
n 970
 
4.9%
Other values (15) 6372
32.0%
Uppercase Letter
ValueCountFrequency (%)
L 62
18.3%
M 47
13.9%
A 39
11.5%
I 37
10.9%
F 36
10.6%
P 25
7.4%
D 21
 
6.2%
B 21
 
6.2%
N 10
 
2.9%
S 9
 
2.7%
Other values (11) 32
9.4%
Decimal Number
ValueCountFrequency (%)
0 240
30.4%
1 154
19.5%
4 104
13.2%
3 69
 
8.7%
2 63
 
8.0%
5 57
 
7.2%
8 48
 
6.1%
6 35
 
4.4%
9 12
 
1.5%
7 7
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 2969
48.2%
/ 2427
39.4%
: 698
 
11.3%
? 62
 
1.0%
; 4
 
0.1%
& 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 65
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20274
74.1%
Common 7075
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1905
 
9.4%
w 1813
 
8.9%
r 1738
 
8.6%
o 1568
 
7.7%
s 1325
 
6.5%
g 1214
 
6.0%
p 1055
 
5.2%
h 1004
 
5.0%
k 971
 
4.8%
n 970
 
4.8%
Other values (36) 6711
33.1%
Common
ValueCountFrequency (%)
. 2969
42.0%
/ 2427
34.3%
: 698
 
9.9%
0 240
 
3.4%
1 154
 
2.2%
4 104
 
1.5%
3 69
 
1.0%
= 65
 
0.9%
2 63
 
0.9%
? 62
 
0.9%
Other values (9) 224
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2969
 
10.9%
/ 2427
 
8.9%
t 1905
 
7.0%
w 1813
 
6.6%
r 1738
 
6.4%
o 1568
 
5.7%
s 1325
 
4.8%
g 1214
 
4.4%
p 1055
 
3.9%
h 1004
 
3.7%
Other values (55) 10331
37.8%

위도
Real number (ℝ)

Distinct804
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.420909
Minimum36.943305
Maximum38.152965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:48.282176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943305
5-th percentile37.015901
Q137.240067
median37.346235
Q337.64961
95-th percentile37.898411
Maximum38.152965
Range1.2096602
Interquartile range (IQR)0.40954277

Descriptive statistics

Standard deviation0.261864
Coefficient of variation (CV)0.0069977989
Kurtosis-0.41638253
Mean37.420909
Median Absolute Deviation (MAD)0.14061493
Skewness0.59364598
Sum61669.658
Variance0.068572753
MonotonicityNot monotonic
2024-04-11T11:49:48.514938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.18929613 24
 
1.5%
37.21054214 20
 
1.2%
37.44850588 16
 
1.0%
37.27732279 16
 
1.0%
37.35921675 15
 
0.9%
37.36208607 14
 
0.8%
37.605294 13
 
0.8%
37.01320427 11
 
0.7%
37.428101 11
 
0.7%
37.431795 11
 
0.7%
Other values (794) 1497
90.8%
ValueCountFrequency (%)
36.94330477 2
0.1%
36.9534353 2
0.1%
36.9664176955 1
 
0.1%
36.9664491259 1
 
0.1%
36.9679218 2
0.1%
36.969001 2
0.1%
36.97841051 4
0.2%
36.98248741 1
 
0.1%
36.982747 1
 
0.1%
36.987565 2
0.1%
ValueCountFrequency (%)
38.152965 1
0.1%
38.13519574 2
0.1%
38.13216651 1
0.1%
38.13110355 1
0.1%
38.12184809 1
0.1%
38.10669097 1
0.1%
38.10223875 1
0.1%
38.10169308 1
0.1%
38.09915111 1
0.1%
38.09913583 1
0.1%

경도
Real number (ℝ)

Distinct809
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04368
Minimum126.58312
Maximum127.658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2024-04-11T11:49:48.698813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58312
5-th percentile126.76361
Q1126.91942
median127.04611
Q3127.12809
95-th percentile127.4012
Maximum127.658
Range1.0748831
Interquartile range (IQR)0.2086704

Descriptive statistics

Standard deviation0.18623637
Coefficient of variation (CV)0.0014659239
Kurtosis0.37710052
Mean127.04368
Median Absolute Deviation (MAD)0.11262205
Skewness0.54184003
Sum209367.99
Variance0.034683986
MonotonicityNot monotonic
2024-04-11T11:49:48.881000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1238978 24
 
1.5%
127.1045261 21
 
1.3%
126.7846949 16
 
1.0%
126.8225295 16
 
1.0%
126.9194206 15
 
0.9%
126.927942 14
 
0.8%
127.3278454 11
 
0.7%
127.139465 11
 
0.7%
126.989167 11
 
0.7%
127.1096568 10
 
0.6%
Other values (799) 1499
91.0%
ValueCountFrequency (%)
126.5831173 1
0.1%
126.6022266 1
0.1%
126.6701504 1
0.1%
126.7069022964 2
0.1%
126.7087333 2
0.1%
126.7087356 2
0.1%
126.7097236 1
0.1%
126.7143093 1
0.1%
126.7203004 2
0.1%
126.7311007 1
0.1%
ValueCountFrequency (%)
127.6580004 1
 
0.1%
127.6579024 1
 
0.1%
127.6512309 3
0.2%
127.6327773 1
 
0.1%
127.6295098 1
 
0.1%
127.6229022 4
0.2%
127.6209606 1
 
0.1%
127.6155305 1
 
0.1%
127.6060688 1
 
0.1%
127.5808592 1
 
0.1%

데이터기준일자
Date

Distinct37
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Minimum2017-04-24 00:00:00
Maximum2024-02-16 00:00:00
2024-04-11T11:49:49.048725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:49:49.212804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

Sample

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
0군포시가야종합사회복지관 통합교육실군포시가야종합사회복지관회의실토+일09:0018:0000:0000:00Y1(시간당)5000원<NA><NA>15<NA>빔+스크린+인터넷+화이트보드인터넷+전화+이메일+방문<NA>경기도 군포시 번영로 331-1경기도 군포시 산본동 1155-7번지군포시가야종합사회복지관<NA><NA>www.gayawel.or.kr37.345592126.9230992023-11-30
1광정동청소년문화의집 청소년운영위원회실광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>5<NA>무선인터넷전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
2광정동청소년문화의집 홀(A)광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>80<NA>빔프로젝트+스크린+무선인터넷+게임용컴퓨터+보드게임전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
3광정동청소년문화의집 홀무대(B)광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>20<NA>무선인터넷+미니당구대전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
4광정동청소년문화의집 홀 전체(A+B)광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>100<NA>빔프로젝트+스크린+무선인터넷+게임용컴퓨터+보드게임+미니당구대전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
5광정동청소년문화의집 노래방(광정동청소년문화의집)광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>6<NA>무선인터넷+스피커+앰프+드럼+피아노+보면대+노래방기계전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
6광정동청소년문화의집 멀티방/상담실광정동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>4<NA>무선인터넷전화+방문<NA>경기도 군포시 광정로 106 (산본동)경기도 군포시 산본동 1120-2번지광정동청소년문화의집<NA><NA>www.gjycc21.or.kr37.362086126.9279422023-11-30
7당동청소년문화의집 강의실당동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>8<NA>빔+스크린+인터넷+화이트보드모바일(카카오톡)<NA>경기도 군포시 당산로 76경기도 군포시 당동 729-16번지당동청소년문화의집<NA><NA>www.ddyouth.or.kr37.358305126.9462012023-11-30
8당동청소년문화의집 미니문고당동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>5<NA>인터넷모바일(카카오톡)<NA>경기도 군포시 당산로 76경기도 군포시 당동 729-16번지당동청소년문화의집<NA><NA>www.ddyouth.or.kr37.358305126.9462012023-11-30
9당동청소년문화의집 노래방(당동청소년문화의집)당동청소년문화의집회의실월09:0021:0009:0018:00N<NA>무료<NA><NA>10<NA>TV+음향기기+인터넷+노래방기기모바일(카카오톡)<NA>경기도 군포시 당산로 76경기도 군포시 당동 729-16번지당동청소년문화의집<NA><NA>www.ddyouth.or.kr37.358305126.9462012023-11-30
개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
1638원곡면 게이트볼장원곡면 게이트볼장풋살경기장일+공휴일09:0018:0009:0018:00N1<NA><NA><NA>302150.0<NA>인터넷+전화+방문<NA>경기도 안성시 원곡면 청원로 1785-22경기도 안성시 원곡면 내가천리 283번지경기도 안성시청원곡면사무소031-678-3853https://share.gg.go.kr/index37.043107127.1195382023-12-12
1639(구)백성초 리틀야구장(구)백성초 리틀야구장기타연중무휴06:0021:0006:0021:00N2<NA><NA><NA>503948.0주차가능인터넷<NA>경기도 안성시 백성2길 59경기도 안성시 금산동 119번지경기도 안성시청문화체육관광과031-678-6868https://share.gg.go.kr/index37.011171127.2666222023-12-12
1640서운면사무소 2층 대회의실서운면사무소회의실평일+일+공휴일00:0000:0009:0012:00N1<NA><NA><NA>30115.0주차가능인터넷+방문<NA>경기도 안성시 서운면 서운중앙길 23경기도 안성시 서운면 인리 107-4번지경기도 안성시청서운면031-678-3733https://share.gg.go.kr/index36.943305127.2595522023-12-12
1641안성맞춤테니스구장 10번코트안성맞춤테니스구장테니스장연중무휴06:0022:0006:0022:00Y2100002.0100002001593.22주차가능인터넷<NA>경기도 안성시 보개면 종합운동장로 162<NA>안성시시설관리공단안성시시설관리공단031-673-2590https://share.gg.go.kr/index37.013204127.3278452023-12-12
1642시민활동통합지원단 가치on시민활동통합지원단다목적실토+일+공휴일09:0018:0000:0000:00N4<NA><NA><NA>10350.0주차가능인터넷+전화<NA>경기도 안성시 고수2로 13경기도 안성시 당왕동 534-6번지안성시민활동통합지원단소통협치담당관031-678-0778https://share.gg.go.kr/index37.014407127.2578112023-12-12
1643(1코트) 미양공단공원 족구장미양공단공원 족구장족구장공휴일06:0021:0006:0021:00N2<NA><NA><NA>1002268.0주차가능인터넷<NA>경기도 안성시 미양면 안성맞춤대로 697경기도 안성시 미양면 계륵리 271-4번지경기도 안성시청문화체육관광과031-678-6868https://share.gg.go.kr/index36.978411127.2612392023-12-12
1644기흥레스피아 족구장기흥레스피아족구장연중무휴06:0022:0006:0022:00N2<NA><NA><NA>1018145.0<NA>인터넷https://www.yongin.go.kr/user/web/publicAlsfc/BD_selectPublicAlsfcList.do경기도 용인시 기흥구 하갈로 79경기도 용인시 기흥구 하갈동 114번지경기도 용인시 기흥구청자치행정과031-324-6051https://www.yongin.go.kr/user/web/publicAlsfc/BD_selectPublicAlsfcList.do37.252111127.0964582023-12-14
1645상현레스피아 농구장상현레스피아농구장연중무휴09:0018:0009:0018:00N2<NA><NA><NA><NA><NA><NA><NA><NA>경기도 용인시 수지구 광교마을로 128경기도 용인시 수지구 상현동 609번지경기도 용인시 수지구청자치행정과031-324-8051https://www.sujigu.go.kr/37.294836127.0773852023-12-14
1646각골체육관각골체육관다목적경기장설 연휴+추석 연휴+안전점검의 날(월1회)06:0022:0006:0022:00Y4(평일)30800+(주말)462004.030800150600.0냉난방시설+음향시설인터넷https://www.ansanuc.net/homenew/12066/40303/contents.do경기도 안산시 상록구 석호로 400(본오동)경기도 안산시 상록구 본오동 728번지경기도 안산시 안산도시공사체육운영부031-417-4802http://www.ansanuc.net37.292583126.8751992023-11-28
1647(2코트) 금광 테니스장금광테니스장테니스장연중무휴06:0021:0006:0021:00N2<NA><NA><NA>504050.0주차가능인터넷<NA>경기도 안성시 금광면 금광오산로 199-28경기도 안성시 금광면 내우리 24-3번지경기도 안성시청문화체육관광과031-678-6868https://share.gg.go.kr/index36.997969127.3135012023-12-12