Overview

Dataset statistics

Number of variables21
Number of observations826
Missing cells2563
Missing cells (%)14.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.3 KiB
Average record size in memory170.2 B

Variable types

Numeric2
Categorical5
Text14

Dataset

Description체육시설일련번호,자치구,시설명,시설유형,시설우편번호,시설주소,시설상세주소,시설규모,운영기관,연락처,운영시간_평일,운영시간_주말,운영시간_공휴일,시설대관여부,시설사용료,주차정보,홈페이지,시설종류,시설운영상태,시설편의시설,비고
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21779/S/1/datasetView.do

Alerts

시설유형 is highly imbalanced (68.4%)Imbalance
시설운영상태 is highly imbalanced (72.5%)Imbalance
시설우편번호 has 440 (53.3%) missing valuesMissing
시설상세주소 has 655 (79.3%) missing valuesMissing
시설규모 has 14 (1.7%) missing valuesMissing
운영시간_공휴일 has 545 (66.0%) missing valuesMissing
시설사용료 has 109 (13.2%) missing valuesMissing
홈페이지 has 84 (10.2%) missing valuesMissing
시설편의시설 has 14 (1.7%) missing valuesMissing
비고 has 692 (83.8%) missing valuesMissing
체육시설일련번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 01:16:50.038884
Analysis finished2024-05-04 01:16:54.635878
Duration4.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

체육시설일련번호
Real number (ℝ)

UNIQUE 

Distinct826
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1095.5969
Minimum646
Maximum1594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-05-04T01:16:54.864101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum646
5-th percentile687.25
Q1855.25
median1066.5
Q31380.75
95-th percentile1551.75
Maximum1594
Range948
Interquartile range (IQR)525.5

Descriptive statistics

Standard deviation281.74331
Coefficient of variation (CV)0.25715965
Kurtosis-1.1781592
Mean1095.5969
Median Absolute Deviation (MAD)229
Skewness0.21297855
Sum904963
Variance79379.291
MonotonicityNot monotonic
2024-05-04T01:16:55.479707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
828 1
 
0.1%
757 1
 
0.1%
1577 1
 
0.1%
1576 1
 
0.1%
1109 1
 
0.1%
1371 1
 
0.1%
1111 1
 
0.1%
1110 1
 
0.1%
1235 1
 
0.1%
786 1
 
0.1%
Other values (816) 816
98.8%
ValueCountFrequency (%)
646 1
0.1%
647 1
0.1%
648 1
0.1%
649 1
0.1%
650 1
0.1%
651 1
0.1%
652 1
0.1%
653 1
0.1%
654 1
0.1%
655 1
0.1%
ValueCountFrequency (%)
1594 1
0.1%
1593 1
0.1%
1592 1
0.1%
1591 1
0.1%
1590 1
0.1%
1589 1
0.1%
1588 1
0.1%
1586 1
0.1%
1585 1
0.1%
1584 1
0.1%

자치구
Categorical

Distinct25
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
서초
62 
강서
 
48
노원
 
46
구로
 
44
강동
 
43
Other values (20)
583 

Length

Max length3
Median length2
Mean length2.0968523
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구로
2nd row강서
3rd row강서
4th row강서
5th row강서

Common Values

ValueCountFrequency (%)
서초 62
 
7.5%
강서 48
 
5.8%
노원 46
 
5.6%
구로 44
 
5.3%
강동 43
 
5.2%
마포 42
 
5.1%
송파 42
 
5.1%
양천 40
 
4.8%
영등포 38
 
4.6%
용산 38
 
4.6%
Other values (15) 383
46.4%

Length

2024-05-04T01:16:55.992378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서초 62
 
7.5%
강서 48
 
5.8%
노원 46
 
5.6%
구로 44
 
5.3%
강동 43
 
5.2%
마포 42
 
5.1%
송파 42
 
5.1%
양천 40
 
4.8%
영등포 38
 
4.6%
용산 38
 
4.6%
Other values (15) 383
46.4%
Distinct818
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-05-04T01:16:57.039313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.9878935
Min length3

Characters and Unicode

Total characters8250
Distinct characters300
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

Unique810 ?
Unique (%)98.1%

Sample

1st row50플러스 수영장
2nd row가곡초등학교
3rd row가양레포츠센터
4th row가양레포츠센터 어린이야구장
5th row가양레포츠센터 축구장
ValueCountFrequency (%)
수영장 94
 
7.1%
배드민턴장 44
 
3.3%
농구장 44
 
3.3%
테니스장 43
 
3.2%
축구장 39
 
2.9%
족구장 32
 
2.4%
게이트볼장 24
 
1.8%
골프연습장 17
 
1.3%
파크골프장 12
 
0.9%
풋살경기장 11
 
0.8%
Other values (567) 971
73.0%
2024-05-04T01:16:58.397457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
609
 
7.4%
505
 
6.1%
294
 
3.6%
269
 
3.3%
263
 
3.2%
226
 
2.7%
217
 
2.6%
194
 
2.4%
189
 
2.3%
159
 
1.9%
Other values (290) 5325
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7707
93.4%
Space Separator 505
 
6.1%
Decimal Number 24
 
0.3%
Uppercase Letter 5
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
609
 
7.9%
294
 
3.8%
269
 
3.5%
263
 
3.4%
226
 
2.9%
217
 
2.8%
194
 
2.5%
189
 
2.5%
159
 
2.1%
135
 
1.8%
Other values (280) 5152
66.8%
Decimal Number
ValueCountFrequency (%)
2 11
45.8%
1 10
41.7%
3 1
 
4.2%
5 1
 
4.2%
0 1
 
4.2%
Space Separator
ValueCountFrequency (%)
505
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7707
93.4%
Common 538
 
6.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
609
 
7.9%
294
 
3.8%
269
 
3.5%
263
 
3.4%
226
 
2.9%
217
 
2.8%
194
 
2.5%
189
 
2.5%
159
 
2.1%
135
 
1.8%
Other values (280) 5152
66.8%
Common
ValueCountFrequency (%)
505
93.9%
2 11
 
2.0%
1 10
 
1.9%
( 4
 
0.7%
) 4
 
0.7%
3 1
 
0.2%
- 1
 
0.2%
5 1
 
0.2%
0 1
 
0.2%
Latin
ValueCountFrequency (%)
X 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7707
93.4%
ASCII 543
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
609
 
7.9%
294
 
3.8%
269
 
3.5%
263
 
3.4%
226
 
2.9%
217
 
2.8%
194
 
2.5%
189
 
2.5%
159
 
2.1%
135
 
1.8%
Other values (280) 5152
66.8%
ASCII
ValueCountFrequency (%)
505
93.0%
2 11
 
2.0%
1 10
 
1.8%
X 5
 
0.9%
( 4
 
0.7%
) 4
 
0.7%
3 1
 
0.2%
- 1
 
0.2%
5 1
 
0.2%
0 1
 
0.2%

시설유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
공공체육시설
746 
학교체육시설
 
73
기타
 
7

Length

Max length6
Median length6
Mean length5.9661017
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공체육시설
2nd row학교체육시설
3rd row공공체육시설
4th row공공체육시설
5th row공공체육시설

Common Values

ValueCountFrequency (%)
공공체육시설 746
90.3%
학교체육시설 73
 
8.8%
기타 7
 
0.8%

Length

2024-05-04T01:16:58.794400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:16:59.170131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공체육시설 746
90.3%
학교체육시설 73
 
8.8%
기타 7
 
0.8%

시설우편번호
Real number (ℝ)

MISSING 

Distinct210
Distinct (%)54.4%
Missing440
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean5318.2746
Minimum1007
Maximum10543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-05-04T01:16:59.507641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1007
5-th percentile1683.75
Q13900
median5225
Q37231
95-th percentile8272.25
Maximum10543
Range9536
Interquartile range (IQR)3331

Descriptive statistics

Standard deviation2101.9083
Coefficient of variation (CV)0.39522372
Kurtosis-0.91216271
Mean5318.2746
Median Absolute Deviation (MAD)1732
Skewness-0.17483819
Sum2052854
Variance4418018.5
MonotonicityNot monotonic
2024-05-04T01:16:59.990971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6549 11
 
1.3%
4427 10
 
1.2%
3900 9
 
1.1%
4005 9
 
1.1%
3493 7
 
0.8%
7531 7
 
0.8%
7520 6
 
0.7%
8275 6
 
0.7%
5249 6
 
0.7%
4809 5
 
0.6%
Other values (200) 310
37.5%
(Missing) 440
53.3%
ValueCountFrequency (%)
1007 1
 
0.1%
1061 2
0.2%
1085 1
 
0.1%
1143 2
0.2%
1313 1
 
0.1%
1320 4
0.5%
1331 2
0.2%
1338 1
 
0.1%
1364 1
 
0.1%
1420 1
 
0.1%
ValueCountFrequency (%)
10543 2
0.2%
8866 1
0.1%
8782 1
0.1%
8735 1
0.1%
8608 2
0.2%
8596 1
0.1%
8593 1
0.1%
8553 1
0.1%
8551 1
0.1%
8500 1
0.1%
Distinct569
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-05-04T01:17:00.716707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.205811
Min length13

Characters and Unicode

Total characters15864
Distinct characters235
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)51.2%

Sample

1st row서울특별시 구로구 오류로 36-25 50플러스
2nd row서울특별시 강서구 공항대로36길 74
3rd row서울특별시 강서구 양천로61길 101
4th row서울특별시 영등포구 도신로15길 5
5th row서울특별시 강서구 양천로61길 101
ValueCountFrequency (%)
서울특별시 824
 
24.4%
서초구 64
 
1.9%
강서구 47
 
1.4%
노원구 46
 
1.4%
송파구 43
 
1.3%
구로구 43
 
1.3%
강동구 42
 
1.2%
마포구 41
 
1.2%
양천구 41
 
1.2%
성동구 39
 
1.2%
Other values (798) 2152
63.6%
2024-05-04T01:17:01.980236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2732
17.2%
982
 
6.2%
886
 
5.6%
837
 
5.3%
830
 
5.2%
824
 
5.2%
824
 
5.2%
738
 
4.7%
1 568
 
3.6%
2 391
 
2.5%
Other values (225) 6252
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10054
63.4%
Decimal Number 2901
 
18.3%
Space Separator 2732
 
17.2%
Dash Punctuation 173
 
1.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
982
 
9.8%
886
 
8.8%
837
 
8.3%
830
 
8.3%
824
 
8.2%
824
 
8.2%
738
 
7.3%
379
 
3.8%
313
 
3.1%
157
 
1.6%
Other values (210) 3284
32.7%
Decimal Number
ValueCountFrequency (%)
1 568
19.6%
2 391
13.5%
3 359
12.4%
4 280
9.7%
5 260
9.0%
6 257
8.9%
7 245
8.4%
0 200
 
6.9%
8 185
 
6.4%
9 156
 
5.4%
Space Separator
ValueCountFrequency (%)
2732
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10054
63.4%
Common 5810
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
982
 
9.8%
886
 
8.8%
837
 
8.3%
830
 
8.3%
824
 
8.2%
824
 
8.2%
738
 
7.3%
379
 
3.8%
313
 
3.1%
157
 
1.6%
Other values (210) 3284
32.7%
Common
ValueCountFrequency (%)
2732
47.0%
1 568
 
9.8%
2 391
 
6.7%
3 359
 
6.2%
4 280
 
4.8%
5 260
 
4.5%
6 257
 
4.4%
7 245
 
4.2%
0 200
 
3.4%
8 185
 
3.2%
Other values (5) 333
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10054
63.4%
ASCII 5810
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2732
47.0%
1 568
 
9.8%
2 391
 
6.7%
3 359
 
6.2%
4 280
 
4.8%
5 260
 
4.5%
6 257
 
4.4%
7 245
 
4.2%
0 200
 
3.4%
8 185
 
3.2%
Other values (5) 333
 
5.7%
Hangul
ValueCountFrequency (%)
982
 
9.8%
886
 
8.8%
837
 
8.3%
830
 
8.3%
824
 
8.2%
824
 
8.2%
738
 
7.3%
379
 
3.8%
313
 
3.1%
157
 
1.6%
Other values (210) 3284
32.7%

시설상세주소
Text

MISSING 

Distinct113
Distinct (%)66.1%
Missing655
Missing (%)79.3%
Memory size6.6 KiB
2024-05-04T01:17:02.575686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.6549708
Min length2

Characters and Unicode

Total characters1480
Distinct characters195
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

Unique95 ?
Unique (%)55.6%

Sample

1st row남부캠퍼스 지하 2층
2nd row지하 1층
3rd row지하 1층 골프연습장
4th row(지하 2층 수영장)
5th row(수영장)
ValueCountFrequency (%)
지하 53
 
13.9%
2층 40
 
10.5%
39
 
10.2%
수영장 38
 
10.0%
1층 36
 
9.4%
골프장 9
 
2.4%
반포유수지 8
 
2.1%
3층 6
 
1.6%
골프연습장 6
 
1.6%
4층 6
 
1.6%
Other values (115) 140
36.7%
2024-05-04T01:17:03.493893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
14.2%
92
 
6.2%
81
 
5.5%
71
 
4.8%
53
 
3.6%
52
 
3.5%
47
 
3.2%
44
 
3.0%
2 44
 
3.0%
1 40
 
2.7%
Other values (185) 746
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
77.4%
Space Separator 210
 
14.2%
Decimal Number 107
 
7.2%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
 
8.0%
81
 
7.1%
71
 
6.2%
53
 
4.6%
52
 
4.5%
47
 
4.1%
44
 
3.8%
29
 
2.5%
29
 
2.5%
27
 
2.4%
Other values (172) 620
54.1%
Decimal Number
ValueCountFrequency (%)
2 44
41.1%
1 40
37.4%
4 9
 
8.4%
3 8
 
7.5%
5 3
 
2.8%
6 2
 
1.9%
0 1
 
0.9%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1145
77.4%
Common 334
 
22.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
8.0%
81
 
7.1%
71
 
6.2%
53
 
4.6%
52
 
4.5%
47
 
4.1%
44
 
3.8%
29
 
2.5%
29
 
2.5%
27
 
2.4%
Other values (172) 620
54.1%
Common
ValueCountFrequency (%)
210
62.9%
2 44
 
13.2%
1 40
 
12.0%
4 9
 
2.7%
3 8
 
2.4%
) 7
 
2.1%
( 7
 
2.1%
5 3
 
0.9%
6 2
 
0.6%
~ 2
 
0.6%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
77.4%
ASCII 335
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
62.7%
2 44
 
13.1%
1 40
 
11.9%
4 9
 
2.7%
3 8
 
2.4%
) 7
 
2.1%
( 7
 
2.1%
5 3
 
0.9%
6 2
 
0.6%
~ 2
 
0.6%
Other values (3) 3
 
0.9%
Hangul
ValueCountFrequency (%)
92
 
8.0%
81
 
7.1%
71
 
6.2%
53
 
4.6%
52
 
4.5%
47
 
4.1%
44
 
3.8%
29
 
2.5%
29
 
2.5%
27
 
2.4%
Other values (172) 620
54.1%

시설규모
Text

MISSING 

Distinct660
Distinct (%)81.3%
Missing14
Missing (%)1.7%
Memory size6.6 KiB
2024-05-04T01:17:04.027176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length65
Mean length17.950739
Min length2

Characters and Unicode

Total characters14576
Distinct characters274
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique612 ?
Unique (%)75.4%

Sample

1st row성인풀 5레인 / 면적 5,714.8m²
2nd row체육장 6,946㎡
3rd row지하 1층, 지상 2층 (면적 4,627.8㎡)
4th row외야거리 : 62m × 65m
5th row65m x 97m (인조잔디)
ValueCountFrequency (%)
207
 
6.3%
지상 153
 
4.6%
코트 143
 
4.3%
지하 120
 
3.6%
1면 106
 
3.2%
2층 92
 
2.8%
면적 85
 
2.6%
2면 72
 
2.2%
배드민턴 71
 
2.2%
1층 67
 
2.0%
Other values (940) 2175
66.1%
2024-05-04T01:17:05.002978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2538
 
17.4%
, 657
 
4.5%
1 564
 
3.9%
2 544
 
3.7%
450
 
3.1%
) 418
 
2.9%
( 416
 
2.9%
0 413
 
2.8%
5 409
 
2.8%
385
 
2.6%
Other values (264) 7782
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5782
39.7%
Decimal Number 3467
23.8%
Space Separator 2538
17.4%
Other Punctuation 993
 
6.8%
Close Punctuation 418
 
2.9%
Open Punctuation 416
 
2.9%
Lowercase Letter 410
 
2.8%
Other Symbol 389
 
2.7%
Math Symbol 104
 
0.7%
Uppercase Letter 29
 
0.2%
Other values (3) 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
450
 
7.8%
338
 
5.8%
303
 
5.2%
300
 
5.2%
275
 
4.8%
226
 
3.9%
192
 
3.3%
182
 
3.1%
182
 
3.1%
155
 
2.7%
Other values (223) 3179
55.0%
Decimal Number
ValueCountFrequency (%)
1 564
16.3%
2 544
15.7%
0 413
11.9%
5 409
11.8%
3 348
10.0%
4 306
8.8%
6 270
7.8%
9 207
 
6.0%
8 204
 
5.9%
7 202
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
X 6
20.7%
G 5
17.2%
R 4
13.8%
B 3
10.3%
D 3
10.3%
A 2
 
6.9%
O 2
 
6.9%
M 2
 
6.9%
C 1
 
3.4%
T 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
m 375
91.5%
x 27
 
6.6%
c 4
 
1.0%
2
 
0.5%
d 1
 
0.2%
y 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 657
66.2%
. 128
 
12.9%
/ 127
 
12.8%
: 81
 
8.2%
Math Symbol
ValueCountFrequency (%)
× 100
96.2%
+ 2
 
1.9%
~ 2
 
1.9%
Other Symbol
ValueCountFrequency (%)
385
99.0%
4
 
1.0%
Space Separator
ValueCountFrequency (%)
2538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 416
100.0%
Other Number
ValueCountFrequency (%)
² 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8355
57.3%
Hangul 5782
39.7%
Latin 439
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
450
 
7.8%
338
 
5.8%
303
 
5.2%
300
 
5.2%
275
 
4.8%
226
 
3.9%
192
 
3.3%
182
 
3.1%
182
 
3.1%
155
 
2.7%
Other values (223) 3179
55.0%
Common
ValueCountFrequency (%)
2538
30.4%
, 657
 
7.9%
1 564
 
6.8%
2 544
 
6.5%
) 418
 
5.0%
( 416
 
5.0%
0 413
 
4.9%
5 409
 
4.9%
385
 
4.6%
3 348
 
4.2%
Other values (15) 1663
19.9%
Latin
ValueCountFrequency (%)
m 375
85.4%
x 27
 
6.2%
X 6
 
1.4%
G 5
 
1.1%
R 4
 
0.9%
c 4
 
0.9%
B 3
 
0.7%
D 3
 
0.7%
A 2
 
0.5%
2
 
0.5%
Other values (6) 8
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8276
56.8%
Hangul 5782
39.7%
CJK Compat 389
 
2.7%
None 129
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2538
30.7%
, 657
 
7.9%
1 564
 
6.8%
2 544
 
6.6%
) 418
 
5.1%
( 416
 
5.0%
0 413
 
5.0%
5 409
 
4.9%
m 375
 
4.5%
3 348
 
4.2%
Other values (26) 1594
19.3%
Hangul
ValueCountFrequency (%)
450
 
7.8%
338
 
5.8%
303
 
5.2%
300
 
5.2%
275
 
4.8%
226
 
3.9%
192
 
3.3%
182
 
3.1%
182
 
3.1%
155
 
2.7%
Other values (223) 3179
55.0%
CJK Compat
ValueCountFrequency (%)
385
99.0%
4
 
1.0%
None
ValueCountFrequency (%)
× 100
77.5%
² 27
 
20.9%
2
 
1.6%
Distinct233
Distinct (%)28.3%
Missing3
Missing (%)0.4%
Memory size6.6 KiB
2024-05-04T01:17:05.518631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.7339004
Min length1

Characters and Unicode

Total characters6365
Distinct characters199
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)16.2%

Sample

1st row구로구시설관리공단
2nd row가곡초등학교
3rd row강서구시설관리공단
4th row강서구시설관리공단
5th row강서구시설관리공단
ValueCountFrequency (%)
한강사업본부 65
 
6.9%
공원녹지과 57
 
6.1%
서초구청 29
 
3.1%
노원구서비스공단 22
 
2.3%
강서구청 20
 
2.1%
성동구도시관리공단 18
 
1.9%
구로구시설관리공단 17
 
1.8%
강서구시설관리공단 16
 
1.7%
푸른도시과 16
 
1.7%
중랑구시설관리공단 15
 
1.6%
Other values (210) 664
70.7%
2024-05-04T01:17:06.505957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
 
8.7%
405
 
6.4%
383
 
6.0%
354
 
5.6%
330
 
5.2%
309
 
4.9%
250
 
3.9%
217
 
3.4%
163
 
2.6%
153
 
2.4%
Other values (189) 3246
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6214
97.6%
Space Separator 116
 
1.8%
Uppercase Letter 34
 
0.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
555
 
8.9%
405
 
6.5%
383
 
6.2%
354
 
5.7%
330
 
5.3%
309
 
5.0%
250
 
4.0%
217
 
3.5%
163
 
2.6%
153
 
2.5%
Other values (182) 3095
49.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
26.5%
M 8
23.5%
A 8
23.5%
Y 8
23.5%
F 1
 
2.9%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6214
97.6%
Common 117
 
1.8%
Latin 34
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
555
 
8.9%
405
 
6.5%
383
 
6.2%
354
 
5.7%
330
 
5.3%
309
 
5.0%
250
 
4.0%
217
 
3.5%
163
 
2.6%
153
 
2.5%
Other values (182) 3095
49.8%
Latin
ValueCountFrequency (%)
C 9
26.5%
M 8
23.5%
A 8
23.5%
Y 8
23.5%
F 1
 
2.9%
Common
ValueCountFrequency (%)
116
99.1%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6214
97.6%
ASCII 151
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
555
 
8.9%
405
 
6.5%
383
 
6.2%
354
 
5.7%
330
 
5.3%
309
 
5.0%
250
 
4.0%
217
 
3.5%
163
 
2.6%
153
 
2.5%
Other values (182) 3095
49.8%
ASCII
ValueCountFrequency (%)
116
76.8%
C 9
 
6.0%
M 8
 
5.3%
A 8
 
5.3%
Y 8
 
5.3%
- 1
 
0.7%
F 1
 
0.7%
Distinct490
Distinct (%)59.5%
Missing2
Missing (%)0.2%
Memory size6.6 KiB
2024-05-04T01:17:07.032399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length11.546117
Min length1

Characters and Unicode

Total characters9514
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)38.6%

Sample

1st row02-2066-1515
2nd row02-2661-5995
3rd row02-6229-6680
4th row02-2607-9113
5th row02-6229-6680
ValueCountFrequency (%)
02-3780-0501 12
 
1.5%
02-3780-0551 11
 
1.3%
02-2600-4195 11
 
1.3%
02-3780-0521 9
 
1.1%
02-2155-8711 8
 
1.0%
02-2600-4186 7
 
0.8%
02-3780-0601 7
 
0.8%
02-3780-0611 6
 
0.7%
02-2147-3393 6
 
0.7%
02-591-6060 6
 
0.7%
Other values (480) 741
89.9%
2024-05-04T01:17:08.292641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1725
18.1%
2 1664
17.5%
- 1626
17.1%
1 696
7.3%
6 622
 
6.5%
3 604
 
6.3%
5 585
 
6.1%
8 531
 
5.6%
4 502
 
5.3%
7 491
 
5.2%
Other values (5) 468
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7882
82.8%
Dash Punctuation 1626
 
17.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1725
21.9%
2 1664
21.1%
1 696
8.8%
6 622
 
7.9%
3 604
 
7.7%
5 585
 
7.4%
8 531
 
6.7%
4 502
 
6.4%
7 491
 
6.2%
9 462
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 1626
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9514
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1725
18.1%
2 1664
17.5%
- 1626
17.1%
1 696
7.3%
6 622
 
6.5%
3 604
 
6.3%
5 585
 
6.1%
8 531
 
5.6%
4 502
 
5.3%
7 491
 
5.2%
Other values (5) 468
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9514
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1725
18.1%
2 1664
17.5%
- 1626
17.1%
1 696
7.3%
6 622
 
6.5%
3 604
 
6.3%
5 585
 
6.1%
8 531
 
5.6%
4 502
 
5.3%
7 491
 
5.2%
Other values (5) 468
 
4.9%
Distinct187
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-05-04T01:17:08.963736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length11
Mean length14.044794
Min length3

Characters and Unicode

Total characters11601
Distinct characters108
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)14.9%

Sample

1st row06:00~21:30
2nd row06:30~08:00, 17:00~보안관 근무 종료시까지
3rd row09:00~20:00
4th row동절기 09:00~17:00, 춘추기 09:00~18:00, 하절기 09:00~19:00
5th row09:00~22:00
ValueCountFrequency (%)
06:00~22:00 243
19.5%
00:00~24:00 113
 
9.1%
64
 
5.1%
06:00~20:00 56
 
4.5%
09:00~18:00 47
 
3.8%
07:00~17:00 37
 
3.0%
06:00~21:50 34
 
2.7%
27
 
2.2%
3월 27
 
2.2%
06:00~21:00 26
 
2.1%
Other values (186) 573
46.0%
2024-05-04T01:17:10.539655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4567
39.4%
: 1806
 
15.6%
2 994
 
8.6%
~ 954
 
8.2%
508
 
4.4%
6 501
 
4.3%
1 427
 
3.7%
7 186
 
1.6%
9 167
 
1.4%
3 159
 
1.4%
Other values (98) 1332
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7374
63.6%
Other Punctuation 1948
 
16.8%
Math Symbol 954
 
8.2%
Other Letter 734
 
6.3%
Space Separator 508
 
4.4%
Dash Punctuation 30
 
0.3%
Open Punctuation 26
 
0.2%
Close Punctuation 26
 
0.2%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
17.0%
56
 
7.6%
40
 
5.4%
38
 
5.2%
31
 
4.2%
27
 
3.7%
27
 
3.7%
27
 
3.7%
26
 
3.5%
22
 
3.0%
Other values (78) 315
42.9%
Decimal Number
ValueCountFrequency (%)
0 4567
61.9%
2 994
 
13.5%
6 501
 
6.8%
1 427
 
5.8%
7 186
 
2.5%
9 167
 
2.3%
3 159
 
2.2%
4 157
 
2.1%
8 143
 
1.9%
5 73
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 1806
92.7%
, 80
 
4.1%
/ 59
 
3.0%
. 3
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 954
100.0%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10867
93.7%
Hangul 734
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
17.0%
56
 
7.6%
40
 
5.4%
38
 
5.2%
31
 
4.2%
27
 
3.7%
27
 
3.7%
27
 
3.7%
26
 
3.5%
22
 
3.0%
Other values (78) 315
42.9%
Common
ValueCountFrequency (%)
0 4567
42.0%
: 1806
 
16.6%
2 994
 
9.1%
~ 954
 
8.8%
508
 
4.7%
6 501
 
4.6%
1 427
 
3.9%
7 186
 
1.7%
9 167
 
1.5%
3 159
 
1.5%
Other values (10) 598
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10867
93.7%
Hangul 734
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4567
42.0%
: 1806
 
16.6%
2 994
 
9.1%
~ 954
 
8.8%
508
 
4.7%
6 501
 
4.6%
1 427
 
3.9%
7 186
 
1.7%
9 167
 
1.5%
3 159
 
1.5%
Other values (10) 598
 
5.5%
Hangul
ValueCountFrequency (%)
125
 
17.0%
56
 
7.6%
40
 
5.4%
38
 
5.2%
31
 
4.2%
27
 
3.7%
27
 
3.7%
27
 
3.7%
26
 
3.5%
22
 
3.0%
Other values (78) 315
42.9%
Distinct345
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-05-04T01:17:11.382879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length65
Mean length21.576271
Min length1

Characters and Unicode

Total characters17822
Distinct characters147
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

Unique248 ?
Unique (%)30.0%

Sample

1st row토요일 10:00~18:30 / 일요일 및 공휴일 휴관
2nd row토요일 06:30~08:00, 14:00~일몰 시까지
3rd row주말 및 신정, 설, 추석 연휴 및 공휴일 휴관
4th row동절기 08:00~17:00, 춘추기 08:00~18:00, 하절기 08:00~19:00
5th row주말 06:00~22:00 / 공휴일 휴관
ValueCountFrequency (%)
278
 
9.4%
토요일 250
 
8.4%
일요일 228
 
7.7%
공휴일 224
 
7.6%
휴관 212
 
7.2%
185
 
6.2%
06:00~22:00 124
 
4.2%
00:00~24:00 114
 
3.8%
09:00~18:00 99
 
3.3%
06:00~20:00 70
 
2.4%
Other values (267) 1178
39.8%
2024-05-04T01:17:13.004347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4883
27.4%
2210
12.4%
: 1934
 
10.9%
~ 1012
 
5.7%
994
 
5.6%
1 698
 
3.9%
2 648
 
3.6%
512
 
2.9%
507
 
2.8%
6 377
 
2.1%
Other values (137) 4047
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7852
44.1%
Other Letter 4179
23.4%
Other Punctuation 2467
 
13.8%
Space Separator 2210
 
12.4%
Math Symbol 1012
 
5.7%
Close Punctuation 39
 
0.2%
Open Punctuation 39
 
0.2%
Dash Punctuation 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
994
23.8%
512
12.3%
507
12.1%
250
 
6.0%
225
 
5.4%
216
 
5.2%
185
 
4.4%
142
 
3.4%
99
 
2.4%
56
 
1.3%
Other values (117) 993
23.8%
Decimal Number
ValueCountFrequency (%)
0 4883
62.2%
1 698
 
8.9%
2 648
 
8.3%
6 377
 
4.8%
8 303
 
3.9%
9 281
 
3.6%
7 246
 
3.1%
4 180
 
2.3%
3 145
 
1.8%
5 91
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 1934
78.4%
, 271
 
11.0%
/ 254
 
10.3%
. 6
 
0.2%
2
 
0.1%
Space Separator
ValueCountFrequency (%)
2210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1012
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13643
76.6%
Hangul 4179
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
994
23.8%
512
12.3%
507
12.1%
250
 
6.0%
225
 
5.4%
216
 
5.2%
185
 
4.4%
142
 
3.4%
99
 
2.4%
56
 
1.3%
Other values (117) 993
23.8%
Common
ValueCountFrequency (%)
0 4883
35.8%
2210
16.2%
: 1934
 
14.2%
~ 1012
 
7.4%
1 698
 
5.1%
2 648
 
4.7%
6 377
 
2.8%
8 303
 
2.2%
9 281
 
2.1%
, 271
 
2.0%
Other values (10) 1026
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13641
76.5%
Hangul 4179
 
23.4%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4883
35.8%
2210
16.2%
: 1934
 
14.2%
~ 1012
 
7.4%
1 698
 
5.1%
2 648
 
4.8%
6 377
 
2.8%
8 303
 
2.2%
9 281
 
2.1%
, 271
 
2.0%
Other values (9) 1024
 
7.5%
Hangul
ValueCountFrequency (%)
994
23.8%
512
12.3%
507
12.1%
250
 
6.0%
225
 
5.4%
216
 
5.2%
185
 
4.4%
142
 
3.4%
99
 
2.4%
56
 
1.3%
Other values (117) 993
23.8%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct201
Distinct (%)71.5%
Missing545
Missing (%)66.0%
Memory size6.6 KiB
2024-05-04T01:17:13.812865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length39
Mean length23.690391
Min length1

Characters and Unicode

Total characters6657
Distinct characters241
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

Unique159 ?
Unique (%)56.6%

Sample

1st row성수기(7~8월)에는 일요일 자유 수영 운영
2nd row일요일 및 공휴일 06:30~일몰 시까지
3rd row시설 별 운영시간 상이
4th row.신정, 설, 추석 연휴 및 공휴일 휴관
5th row평일 기준 동절기, 춘추기, 하절기 별 운영시간 상이
ValueCountFrequency (%)
일요일 101
 
6.1%
99
 
5.9%
휴관 80
 
4.8%
공휴일 72
 
4.3%
71
 
4.3%
63
 
3.8%
운영 35
 
2.1%
추석 25
 
1.5%
매월 24
 
1.4%
동절기 20
 
1.2%
Other values (382) 1079
64.6%
2024-05-04T01:17:15.113139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1446
21.7%
0 512
 
7.7%
365
 
5.5%
: 232
 
3.5%
1 208
 
3.1%
193
 
2.9%
~ 138
 
2.1%
130
 
2.0%
126
 
1.9%
, 123
 
1.8%
Other values (231) 3184
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3398
51.0%
Space Separator 1446
21.7%
Decimal Number 1111
 
16.7%
Other Punctuation 415
 
6.2%
Math Symbol 138
 
2.1%
Open Punctuation 64
 
1.0%
Close Punctuation 64
 
1.0%
Dash Punctuation 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
365
 
10.7%
193
 
5.7%
130
 
3.8%
126
 
3.7%
117
 
3.4%
101
 
3.0%
99
 
2.9%
99
 
2.9%
96
 
2.8%
80
 
2.4%
Other values (209) 1992
58.6%
Decimal Number
ValueCountFrequency (%)
0 512
46.1%
1 208
18.7%
2 101
 
9.1%
3 78
 
7.0%
7 53
 
4.8%
9 41
 
3.7%
6 35
 
3.2%
8 35
 
3.2%
4 34
 
3.1%
5 14
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 232
55.9%
, 123
29.6%
. 29
 
7.0%
/ 20
 
4.8%
* 9
 
2.2%
% 1
 
0.2%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
1446
100.0%
Math Symbol
ValueCountFrequency (%)
~ 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3398
51.0%
Common 3259
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
365
 
10.7%
193
 
5.7%
130
 
3.8%
126
 
3.7%
117
 
3.4%
101
 
3.0%
99
 
2.9%
99
 
2.9%
96
 
2.8%
80
 
2.4%
Other values (209) 1992
58.6%
Common
ValueCountFrequency (%)
1446
44.4%
0 512
 
15.7%
: 232
 
7.1%
1 208
 
6.4%
~ 138
 
4.2%
, 123
 
3.8%
2 101
 
3.1%
3 78
 
2.4%
( 64
 
2.0%
) 64
 
2.0%
Other values (12) 293
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3398
51.0%
ASCII 3258
48.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1446
44.4%
0 512
 
15.7%
: 232
 
7.1%
1 208
 
6.4%
~ 138
 
4.2%
, 123
 
3.8%
2 101
 
3.1%
3 78
 
2.4%
( 64
 
2.0%
) 64
 
2.0%
Other values (11) 292
 
9.0%
Hangul
ValueCountFrequency (%)
365
 
10.7%
193
 
5.7%
130
 
3.8%
126
 
3.7%
117
 
3.4%
101
 
3.0%
99
 
2.9%
99
 
2.9%
96
 
2.8%
80
 
2.4%
Other values (209) 1992
58.6%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
가능
468 
불가능
358 

Length

Max length3
Median length2
Mean length2.433414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불가능
2nd row가능
3rd row가능
4th row가능
5th row가능

Common Values

ValueCountFrequency (%)
가능 468
56.7%
불가능 358
43.3%

Length

2024-05-04T01:17:15.635784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:17:16.058596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 468
56.7%
불가능 358
43.3%

시설사용료
Text

MISSING 

Distinct286
Distinct (%)39.9%
Missing109
Missing (%)13.2%
Memory size6.6 KiB
2024-05-04T01:17:16.707065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length236
Median length169
Mean length30.960948
Min length1

Characters and Unicode

Total characters22199
Distinct characters242
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)36.4%

Sample

1st row운영 프로그램에 따라 이용 요금 상이
2nd row체육관 : 15,000~60,000원 운동장 : 20,000~100,000원
3rd row(이용 시간 120분 기준) 인조잔디축구장 : 평일 60,500원 / 주말 78,650원 어린이야구연습장 : 평일 22,000원 / 주말 28,600원 족구장 : 무료 대관
4th row운영 프로그램에 따라 이용 요금 상이
5th row(이용 시간 120분 기준) 평일 60,500원 / 주말 78,650원
ValueCountFrequency (%)
875
 
16.5%
이용 341
 
6.4%
상이 311
 
5.9%
요금 310
 
5.8%
운영 291
 
5.5%
따라 270
 
5.1%
프로그램에 248
 
4.7%
기준 143
 
2.7%
무료 102
 
1.9%
평일 101
 
1.9%
Other values (544) 2314
43.6%
2024-05-04T01:17:17.941893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4885
22.0%
0 3310
 
14.9%
, 1072
 
4.8%
803
 
3.6%
711
 
3.2%
: 632
 
2.8%
1 449
 
2.0%
5 401
 
1.8%
388
 
1.7%
2 387
 
1.7%
Other values (232) 9161
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9450
42.6%
Decimal Number 5296
23.9%
Space Separator 4885
22.0%
Other Punctuation 1985
 
8.9%
Math Symbol 223
 
1.0%
Close Punctuation 163
 
0.7%
Open Punctuation 163
 
0.7%
Dash Punctuation 34
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
803
 
8.5%
711
 
7.5%
388
 
4.1%
362
 
3.8%
327
 
3.5%
316
 
3.3%
314
 
3.3%
311
 
3.3%
306
 
3.2%
303
 
3.2%
Other values (208) 5309
56.2%
Decimal Number
ValueCountFrequency (%)
0 3310
62.5%
1 449
 
8.5%
5 401
 
7.6%
2 387
 
7.3%
4 184
 
3.5%
3 175
 
3.3%
6 151
 
2.9%
7 107
 
2.0%
8 84
 
1.6%
9 48
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1072
54.0%
: 632
31.8%
/ 191
 
9.6%
* 75
 
3.8%
. 7
 
0.4%
% 6
 
0.3%
2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 217
97.3%
< 3
 
1.3%
> 3
 
1.3%
Space Separator
ValueCountFrequency (%)
4885
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12749
57.4%
Hangul 9450
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
803
 
8.5%
711
 
7.5%
388
 
4.1%
362
 
3.8%
327
 
3.5%
316
 
3.3%
314
 
3.3%
311
 
3.3%
306
 
3.2%
303
 
3.2%
Other values (208) 5309
56.2%
Common
ValueCountFrequency (%)
4885
38.3%
0 3310
26.0%
, 1072
 
8.4%
: 632
 
5.0%
1 449
 
3.5%
5 401
 
3.1%
2 387
 
3.0%
~ 217
 
1.7%
/ 191
 
1.5%
4 184
 
1.4%
Other values (14) 1021
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12747
57.4%
Hangul 9449
42.6%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4885
38.3%
0 3310
26.0%
, 1072
 
8.4%
: 632
 
5.0%
1 449
 
3.5%
5 401
 
3.1%
2 387
 
3.0%
~ 217
 
1.7%
/ 191
 
1.5%
4 184
 
1.4%
Other values (13) 1019
 
8.0%
Hangul
ValueCountFrequency (%)
803
 
8.5%
711
 
7.5%
388
 
4.1%
362
 
3.8%
327
 
3.5%
316
 
3.3%
314
 
3.3%
311
 
3.3%
306
 
3.2%
303
 
3.2%
Other values (207) 5308
56.2%
Punctuation
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct322
Distinct (%)39.2%
Missing5
Missing (%)0.6%
Memory size6.6 KiB
2024-05-04T01:17:18.609253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length90
Mean length24.855055
Min length1

Characters and Unicode

Total characters20406
Distinct characters280
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

Unique203 ?
Unique (%)24.7%

Sample

1st row- 만차일 경우, 천왕역 환승센터 주차장 이용 - 가급적 대중교통 이용
2nd row주차 불가
3rd row주차 가능 (45면)
4th row주차 가능 (45대)
5th row주차 가능 (45면)
ValueCountFrequency (%)
주차 573
 
10.7%
이용 323
 
6.0%
가능 296
 
5.5%
291
 
5.4%
무료 208
 
3.9%
불가 179
 
3.3%
1,000원 107
 
2.0%
30분 100
 
1.9%
10분당 93
 
1.7%
5분당 87
 
1.6%
Other values (546) 3096
57.8%
2024-05-04T01:17:20.418371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4654
22.8%
0 1378
 
6.8%
952
 
4.7%
894
 
4.4%
654
 
3.2%
1 606
 
3.0%
509
 
2.5%
496
 
2.4%
396
 
1.9%
383
 
1.9%
Other values (270) 9484
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11108
54.4%
Space Separator 4654
22.8%
Decimal Number 3288
 
16.1%
Other Punctuation 590
 
2.9%
Open Punctuation 282
 
1.4%
Close Punctuation 282
 
1.4%
Dash Punctuation 109
 
0.5%
Math Symbol 91
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
952
 
8.6%
894
 
8.0%
654
 
5.9%
509
 
4.6%
496
 
4.5%
396
 
3.6%
383
 
3.4%
355
 
3.2%
327
 
2.9%
300
 
2.7%
Other values (243) 5842
52.6%
Decimal Number
ValueCountFrequency (%)
0 1378
41.9%
1 606
18.4%
3 360
 
10.9%
5 305
 
9.3%
2 274
 
8.3%
4 122
 
3.7%
6 78
 
2.4%
9 67
 
2.0%
8 57
 
1.7%
7 41
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 362
61.4%
: 146
24.7%
/ 42
 
7.1%
* 21
 
3.6%
. 9
 
1.5%
5
 
0.8%
% 5
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 73
80.2%
+ 14
 
15.4%
> 2
 
2.2%
< 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
4654
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11108
54.4%
Common 9296
45.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
952
 
8.6%
894
 
8.0%
654
 
5.9%
509
 
4.6%
496
 
4.5%
396
 
3.6%
383
 
3.4%
355
 
3.2%
327
 
2.9%
300
 
2.7%
Other values (243) 5842
52.6%
Common
ValueCountFrequency (%)
4654
50.1%
0 1378
 
14.8%
1 606
 
6.5%
, 362
 
3.9%
3 360
 
3.9%
5 305
 
3.3%
( 282
 
3.0%
) 282
 
3.0%
2 274
 
2.9%
: 146
 
1.6%
Other values (15) 647
 
7.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11108
54.4%
ASCII 9293
45.5%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4654
50.1%
0 1378
 
14.8%
1 606
 
6.5%
, 362
 
3.9%
3 360
 
3.9%
5 305
 
3.3%
( 282
 
3.0%
) 282
 
3.0%
2 274
 
2.9%
: 146
 
1.6%
Other values (16) 644
 
6.9%
Hangul
ValueCountFrequency (%)
952
 
8.6%
894
 
8.0%
654
 
5.9%
509
 
4.6%
496
 
4.5%
396
 
3.6%
383
 
3.4%
355
 
3.2%
327
 
2.9%
300
 
2.7%
Other values (243) 5842
52.6%
Punctuation
ValueCountFrequency (%)
5
100.0%

홈페이지
Text

MISSING 

Distinct472
Distinct (%)63.6%
Missing84
Missing (%)10.2%
Memory size6.6 KiB
2024-05-04T01:17:21.187275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length69
Mean length40.613208
Min length1

Characters and Unicode

Total characters30135
Distinct characters72
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

Unique338 ?
Unique (%)45.6%

Sample

1st rowhttps://www.gurosisul.or.kr/mod.asp?m=business&s=b07
2nd rowhttp://gagok.sen.es.kr/index.do
3rd rowhttps://sport.gssi.or.kr/page/sisul/02/
4th rowhttps://sport.gssi.or.kr/page/sisul/02/
5th rowhttps://sport.gssi.or.kr/page/sisul/02/
ValueCountFrequency (%)
44
 
5.9%
http://www.korspo.co.kr 8
 
1.1%
https://www.seocho.go.kr/site/seocho/04/10405020400002015070703.jsp 8
 
1.1%
https://hangang.seoul.go.kr/archives/46661 7
 
0.9%
https://hangang.seoul.go.kr/archives/46737 7
 
0.9%
http://hangang.seoul.go.kr/archives/46695 7
 
0.9%
http://www.seochoymca.com 6
 
0.8%
https://www.ep.go.kr/www/contents.do?key=1426 6
 
0.8%
https://www.ydp.go.kr/www/contents.do?key=2919 6
 
0.8%
https://hangang.seoul.go.kr/archives/46585 6
 
0.8%
Other values (460) 637
85.8%
2024-05-04T01:17:22.385195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2837
 
9.4%
. 2271
 
7.5%
s 2065
 
6.9%
t 1993
 
6.6%
o 1772
 
5.9%
r 1490
 
4.9%
w 1452
 
4.8%
e 1273
 
4.2%
n 1230
 
4.1%
p 1184
 
3.9%
Other values (62) 12568
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20711
68.7%
Other Punctuation 6050
 
20.1%
Decimal Number 2677
 
8.9%
Uppercase Letter 237
 
0.8%
Math Symbol 193
 
0.6%
Connector Punctuation 172
 
0.6%
Dash Punctuation 90
 
0.3%
Other Letter 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 2065
 
10.0%
t 1993
 
9.6%
o 1772
 
8.6%
r 1490
 
7.2%
w 1452
 
7.0%
e 1273
 
6.1%
n 1230
 
5.9%
p 1184
 
5.7%
h 1086
 
5.2%
g 928
 
4.5%
Other values (15) 6238
30.1%
Uppercase Letter
ValueCountFrequency (%)
V 43
18.1%
R 30
12.7%
N 28
11.8%
S 27
11.4%
I 17
 
7.2%
G 11
 
4.6%
A 11
 
4.6%
C 11
 
4.6%
U 11
 
4.6%
E 11
 
4.6%
Other values (12) 37
15.6%
Decimal Number
ValueCountFrequency (%)
0 683
25.5%
1 499
18.6%
4 286
10.7%
2 263
 
9.8%
6 193
 
7.2%
7 179
 
6.7%
3 170
 
6.4%
5 168
 
6.3%
8 127
 
4.7%
9 109
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 2837
46.9%
. 2271
37.5%
: 710
 
11.7%
? 150
 
2.5%
& 54
 
0.9%
% 27
 
0.4%
, 1
 
< 0.1%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Math Symbol
ValueCountFrequency (%)
= 193
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20948
69.5%
Common 9182
30.5%
Hangul 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 2065
 
9.9%
t 1993
 
9.5%
o 1772
 
8.5%
r 1490
 
7.1%
w 1452
 
6.9%
e 1273
 
6.1%
n 1230
 
5.9%
p 1184
 
5.7%
h 1086
 
5.2%
g 928
 
4.4%
Other values (37) 6475
30.9%
Common
ValueCountFrequency (%)
/ 2837
30.9%
. 2271
24.7%
: 710
 
7.7%
0 683
 
7.4%
1 499
 
5.4%
4 286
 
3.1%
2 263
 
2.9%
= 193
 
2.1%
6 193
 
2.1%
7 179
 
1.9%
Other values (10) 1068
 
11.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30130
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2837
 
9.4%
. 2271
 
7.5%
s 2065
 
6.9%
t 1993
 
6.6%
o 1772
 
5.9%
r 1490
 
4.9%
w 1452
 
4.8%
e 1273
 
4.2%
n 1230
 
4.1%
p 1184
 
3.9%
Other values (57) 12563
41.7%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

시설종류
Categorical

Distinct17
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
생활체육관
152 
수영장
110 
기타
79 
배드민턴장
74 
테니스장
68 
Other values (12)
343 

Length

Max length5
Median length4
Mean length3.7651332
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수영장
2nd row초등학교
3rd row생활체육관
4th row야구장
5th row축구장

Common Values

ValueCountFrequency (%)
생활체육관 152
18.4%
수영장 110
13.3%
기타 79
9.6%
배드민턴장 74
9.0%
테니스장 68
8.2%
축구장 60
 
7.3%
농구장 45
 
5.4%
초등학교 45
 
5.4%
골프연습장 39
 
4.7%
족구장 33
 
4.0%
Other values (7) 121
14.6%

Length

2024-05-04T01:17:22.865154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생활체육관 152
18.4%
수영장 110
13.3%
기타 79
9.6%
배드민턴장 74
9.0%
테니스장 68
8.2%
축구장 60
 
7.3%
농구장 45
 
5.4%
초등학교 45
 
5.4%
골프연습장 39
 
4.7%
족구장 33
 
4.0%
Other values (7) 121
14.6%

시설운영상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
운영
754 
휴관
 
71
미운영
 
1

Length

Max length3
Median length2
Mean length2.0012107
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영 754
91.3%
휴관 71
 
8.6%
미운영 1
 
0.1%

Length

2024-05-04T01:17:23.361582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:17:23.880578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 754
91.3%
휴관 71
 
8.6%
미운영 1
 
0.1%

시설편의시설
Text

MISSING 

Distinct326
Distinct (%)40.1%
Missing14
Missing (%)1.7%
Memory size6.6 KiB
2024-05-04T01:17:24.742020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length36
Mean length15.551724
Min length1

Characters and Unicode

Total characters12628
Distinct characters254
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

Unique213 ?
Unique (%)26.2%

Sample

1st row샤워실, 탈의실, 관람실, 개인사물함
2nd row샤워실, 탈의실, 창고
3rd row샤워실, 탈의실, 매점, 관람석 (417석)
4th row샤워실, 탈의실, 관람석
5th row샤워실, 탈의실, 매점, 관람석 (417석)
ValueCountFrequency (%)
탈의실 441
16.0%
샤워실 434
15.8%
화장실 218
 
7.9%
매점 128
 
4.6%
음수대 118
 
4.3%
휴게실 109
 
4.0%
개인사물함 98
 
3.6%
그늘막 93
 
3.4%
락커룸 68
 
2.5%
휴게시설 54
 
2.0%
Other values (234) 992
36.0%
2024-05-04T01:17:26.181529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1973
 
15.6%
, 1852
 
14.7%
1317
 
10.4%
515
 
4.1%
442
 
3.5%
441
 
3.5%
439
 
3.5%
276
 
2.2%
224
 
1.8%
203
 
1.6%
Other values (244) 4946
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8719
69.0%
Space Separator 1973
 
15.6%
Other Punctuation 1856
 
14.7%
Dash Punctuation 43
 
0.3%
Decimal Number 14
 
0.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1317
 
15.1%
515
 
5.9%
442
 
5.1%
441
 
5.1%
439
 
5.0%
276
 
3.2%
224
 
2.6%
203
 
2.3%
175
 
2.0%
169
 
1.9%
Other values (226) 4518
51.8%
Decimal Number
ValueCountFrequency (%)
1 4
28.6%
0 3
21.4%
4 2
14.3%
7 2
14.3%
3 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1852
99.8%
& 2
 
0.1%
. 1
 
0.1%
/ 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
D 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
1973
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8719
69.0%
Common 3906
30.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1317
 
15.1%
515
 
5.9%
442
 
5.1%
441
 
5.1%
439
 
5.0%
276
 
3.2%
224
 
2.6%
203
 
2.3%
175
 
2.0%
169
 
1.9%
Other values (226) 4518
51.8%
Common
ValueCountFrequency (%)
1973
50.5%
, 1852
47.4%
- 43
 
1.1%
) 10
 
0.3%
( 10
 
0.3%
1 4
 
0.1%
0 3
 
0.1%
4 2
 
0.1%
& 2
 
0.1%
7 2
 
0.1%
Other values (5) 5
 
0.1%
Latin
ValueCountFrequency (%)
L 1
33.3%
D 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8719
69.0%
ASCII 3909
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1973
50.5%
, 1852
47.4%
- 43
 
1.1%
) 10
 
0.3%
( 10
 
0.3%
1 4
 
0.1%
0 3
 
0.1%
4 2
 
0.1%
& 2
 
0.1%
7 2
 
0.1%
Other values (8) 8
 
0.2%
Hangul
ValueCountFrequency (%)
1317
 
15.1%
515
 
5.9%
442
 
5.1%
441
 
5.1%
439
 
5.0%
276
 
3.2%
224
 
2.6%
203
 
2.3%
175
 
2.0%
169
 
1.9%
Other values (226) 4518
51.8%

비고
Text

MISSING 

Distinct69
Distinct (%)51.5%
Missing692
Missing (%)83.8%
Memory size6.6 KiB
2024-05-04T01:17:27.176484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length82.5
Mean length59.440299
Min length7

Characters and Unicode

Total characters7965
Distinct characters253
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

Unique48 ?
Unique (%)35.8%

Sample

1st row21.11.01(월) 기준 이용 가능 대상 - 백신접종완료자 - PCR 검사 확인증 소지자 - 만 18세 이하 미성년자
2nd row복지관 환경개선공사로 인해 체육 프로그램은 2022년 상반기부터 운영 예정
3rd row복지관 환경개선공사로 인해 체육 프로그램은 2022년 상반기부터 운영 예정
4th row10/13(수) 기준 - 운영시간 단축 : 06:00~21:00 - 코로나19 백신 접종자만 이용 가능 - 주차장 및 샤워실 이용 불가
5th row10/13(수) 기준 - 운영시간 단축 : 06:00~21:00 - 코로나19 백신 접종자만 이용 가능 - 주차장 및 샤워실 이용 불가
ValueCountFrequency (%)
298
 
15.6%
기준 110
 
5.8%
이용 78
 
4.1%
21.11.01(월 69
 
3.6%
가능 60
 
3.1%
대상 58
 
3.0%
운영 38
 
2.0%
이하 32
 
1.7%
18세 31
 
1.6%
30
 
1.6%
Other values (283) 1104
57.9%
2024-05-04T01:17:28.392344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1792
22.5%
1 509
 
6.4%
0 197
 
2.5%
. 193
 
2.4%
180
 
2.3%
173
 
2.2%
- 166
 
2.1%
, 154
 
1.9%
2 148
 
1.9%
) 131
 
1.6%
Other values (243) 4322
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3896
48.9%
Space Separator 1792
22.5%
Decimal Number 1080
 
13.6%
Other Punctuation 541
 
6.8%
Uppercase Letter 167
 
2.1%
Dash Punctuation 166
 
2.1%
Close Punctuation 131
 
1.6%
Open Punctuation 127
 
1.6%
Lowercase Letter 42
 
0.5%
Math Symbol 23
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
180
 
4.6%
173
 
4.4%
125
 
3.2%
123
 
3.2%
123
 
3.2%
112
 
2.9%
110
 
2.8%
101
 
2.6%
99
 
2.5%
87
 
2.2%
Other values (194) 2663
68.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
11.9%
o 4
 
9.5%
l 4
 
9.5%
t 4
 
9.5%
i 3
 
7.1%
s 3
 
7.1%
r 3
 
7.1%
n 2
 
4.8%
d 2
 
4.8%
k 2
 
4.8%
Other values (9) 10
23.8%
Decimal Number
ValueCountFrequency (%)
1 509
47.1%
0 197
 
18.2%
2 148
 
13.7%
8 91
 
8.4%
4 69
 
6.4%
5 16
 
1.5%
6 15
 
1.4%
9 14
 
1.3%
3 13
 
1.2%
7 8
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
R 53
31.7%
C 53
31.7%
P 53
31.7%
O 2
 
1.2%
G 2
 
1.2%
D 1
 
0.6%
B 1
 
0.6%
N 1
 
0.6%
X 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 193
35.7%
, 154
28.5%
* 85
15.7%
: 78
14.4%
/ 31
 
5.7%
Math Symbol
ValueCountFrequency (%)
~ 21
91.3%
2
 
8.7%
Space Separator
ValueCountFrequency (%)
1792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3896
48.9%
Common 3860
48.5%
Latin 209
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
180
 
4.6%
173
 
4.4%
125
 
3.2%
123
 
3.2%
123
 
3.2%
112
 
2.9%
110
 
2.8%
101
 
2.6%
99
 
2.5%
87
 
2.2%
Other values (194) 2663
68.4%
Latin
ValueCountFrequency (%)
R 53
25.4%
C 53
25.4%
P 53
25.4%
e 5
 
2.4%
o 4
 
1.9%
l 4
 
1.9%
t 4
 
1.9%
i 3
 
1.4%
s 3
 
1.4%
r 3
 
1.4%
Other values (18) 24
11.5%
Common
ValueCountFrequency (%)
1792
46.4%
1 509
 
13.2%
0 197
 
5.1%
. 193
 
5.0%
- 166
 
4.3%
, 154
 
4.0%
2 148
 
3.8%
) 131
 
3.4%
( 127
 
3.3%
8 91
 
2.4%
Other values (11) 352
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4067
51.1%
Hangul 3896
48.9%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1792
44.1%
1 509
 
12.5%
0 197
 
4.8%
. 193
 
4.7%
- 166
 
4.1%
, 154
 
3.8%
2 148
 
3.6%
) 131
 
3.2%
( 127
 
3.1%
8 91
 
2.2%
Other values (38) 559
 
13.7%
Hangul
ValueCountFrequency (%)
180
 
4.6%
173
 
4.4%
125
 
3.2%
123
 
3.2%
123
 
3.2%
112
 
2.9%
110
 
2.8%
101
 
2.6%
99
 
2.5%
87
 
2.2%
Other values (194) 2663
68.4%
Arrows
ValueCountFrequency (%)
2
100.0%

Sample

체육시설일련번호자치구시설명시설유형시설우편번호시설주소시설상세주소시설규모운영기관연락처운영시간_평일운영시간_주말운영시간_공휴일시설대관여부시설사용료주차정보홈페이지시설종류시설운영상태시설편의시설비고
0828구로50플러스 수영장공공체육시설<NA>서울특별시 구로구 오류로 36-25 50플러스남부캠퍼스 지하 2층성인풀 5레인 / 면적 5,714.8m²구로구시설관리공단02-2066-151506:00~21:30토요일 10:00~18:30 / 일요일 및 공휴일 휴관성수기(7~8월)에는 일요일 자유 수영 운영불가능운영 프로그램에 따라 이용 요금 상이- 만차일 경우, 천왕역 환승센터 주차장 이용 - 가급적 대중교통 이용https://www.gurosisul.or.kr/mod.asp?m=business&s=b07수영장운영샤워실, 탈의실, 관람실, 개인사물함21.11.01(월) 기준 이용 가능 대상 - 백신접종완료자 - PCR 검사 확인증 소지자 - 만 18세 이하 미성년자
1761강서가곡초등학교학교체육시설<NA>서울특별시 강서구 공항대로36길 74<NA>체육장 6,946㎡가곡초등학교02-2661-599506:30~08:00, 17:00~보안관 근무 종료시까지토요일 06:30~08:00, 14:00~일몰 시까지일요일 및 공휴일 06:30~일몰 시까지가능체육관 : 15,000~60,000원 운동장 : 20,000~100,000원주차 불가http://gagok.sen.es.kr/index.do초등학교운영샤워실, 탈의실, 창고<NA>
2762강서가양레포츠센터공공체육시설7531서울특별시 강서구 양천로61길 101<NA>지하 1층, 지상 2층 (면적 4,627.8㎡)강서구시설관리공단02-6229-668009:00~20:00주말 및 신정, 설, 추석 연휴 및 공휴일 휴관시설 별 운영시간 상이가능(이용 시간 120분 기준) 인조잔디축구장 : 평일 60,500원 / 주말 78,650원 어린이야구연습장 : 평일 22,000원 / 주말 28,600원 족구장 : 무료 대관주차 가능 (45면)https://sport.gssi.or.kr/page/sisul/02/생활체육관운영샤워실, 탈의실, 매점, 관람석 (417석)<NA>
31372강서가양레포츠센터 어린이야구장공공체육시설7375서울특별시 영등포구 도신로15길 5<NA>외야거리 : 62m × 65m강서구시설관리공단02-2607-9113동절기 09:00~17:00, 춘추기 09:00~18:00, 하절기 09:00~19:00동절기 08:00~17:00, 춘추기 08:00~18:00, 하절기 08:00~19:00.신정, 설, 추석 연휴 및 공휴일 휴관가능운영 프로그램에 따라 이용 요금 상이주차 가능 (45대)https://sport.gssi.or.kr/page/sisul/02/야구장운영샤워실, 탈의실, 관람석<NA>
4764강서가양레포츠센터 축구장공공체육시설7531서울특별시 강서구 양천로61길 101<NA>65m x 97m (인조잔디)강서구시설관리공단02-6229-668009:00~22:00주말 06:00~22:00 / 공휴일 휴관평일 기준 동절기, 춘추기, 하절기 별 운영시간 상이가능(이용 시간 120분 기준) 평일 60,500원 / 주말 78,650원주차 가능 (45면)https://sport.gssi.or.kr/page/sisul/02/축구장운영샤워실, 탈의실, 매점, 관람석 (417석)<NA>
5763강서가양초등학교학교체육시설<NA>서울특별시 강서구 가양동 허준로 186<NA>체육장 5,500㎡가양초등학교02-2668-210106:30~07:30, 16:00~19:00토요일 06:30~07:30, 14:00~19:00일요일 및 공휴일 07:00~19:00가능운동장 15,000~100,000원학교 시설 사용 시, 주차 가능 (유료)http://kayang.sen.es.kr/index.do초등학교운영<NA><NA>
6926서대문가좌테니스장공공체육시설<NA>서울특별시 서대문구 홍은2동 산26-170<NA>테니스코트 2면 (1,465㎡)서대문구청02-330-113000:00~24:0000:00~24:00<NA>가능회비 : 40,000 / 가입비 : 100,000원주차 불가https://www.sdm.go.kr/culture/culture/sub4030.do테니스장운영매점<NA>
71091동대문간데메공원 농구장공공체육시설<NA>서울특별시 동대문구 서울시립대로2길 59<NA>15,179.7㎡<NA>02-2249-277000:00~24:0000:00~24:00<NA>불가능무료2021년 12월 지하주차장 건설 예정https://parks.seoul.go.kr/parks/detailView.do?pIdx=22농구장운영놀이터, 잔디광장, 분수<NA>
81543양천갈산근린공원 농구장공공체육시설8103서울특별시 양천구 안양천로539길 46<NA>농구장 1면양천구청 공원녹지과02-2620-357400:00~24:0000:00~24:00<NA>불가능<NA>주차 공간이 협소하므로 대중교통 이용https://parks.seoul.go.kr/parks/detailView.do?pIdx=61농구장운영화장실, 전망대<NA>
91112용산갈월종합사회복지관 수영장공공체육시설<NA>서울특별시 용산구 두텁바위로 25<NA>성인풀(25m) 5레인용산구청02-752-788709:00~22:00토요일 10:00~18:00 / 일요일 및 공휴일 휴관<NA>불가능운영 프로그램에 따라 이용 요금 상이주차 가능http://www.galwol.or.kr/수영장휴관탈의실, 샤워실복지관 환경개선공사로 인해 체육 프로그램은 2022년 상반기부터 운영 예정
체육시설일련번호자치구시설명시설유형시설우편번호시설주소시설상세주소시설규모운영기관연락처운영시간_평일운영시간_주말운영시간_공휴일시설대관여부시설사용료주차정보홈페이지시설종류시설운영상태시설편의시설비고
8161175중구회현체육센터 골프연습장공공체육시설<NA>서울특별시 중구 퇴계로 12길 78회현체육센터 4~5층골프장 면적 : 617.90㎡ / 실외 총 12타석, 스크린골프 3타석중구시설관리공단02-2280-843006:00-21:50토요일 06:00~19:50, 일요일 09:30~17:50둘째 주, 넷째 주 일요일 및 공휴일 휴관불가능운영 프로그램 별 이용 요금 상이1종목 : 2시간 무료, 10분 초과당 500원 2종목 : 4시간 무료, 10분 초과당 500원 * 일일입장 이용 시 2시간 무료https://www.e-junggu.or.kr/fmcs/59골프연습장운영샤워실, 탈의실, 락커룸, 다목적실, 야외테라스, 휴게실21.11.01(월) 기준, * 이용 가능 대상 : 접종완료자, PCR음성확인자, 만18세미만, 접종불가자
8171176중구회현체육센터 수영장공공체육시설<NA>서울특별시 중구 퇴계로 12길 78회현체육센터 1층 수영장수영장 면적 : 1,030.10㎡ / 성인풀(25m x 13m) 5레인, 유아풀(8.5m x 5m)중구시설관리공단02-2280-843006:00~22:00토요일 06:00~20:00, 일요일 09:30~18:00둘째 주, 넷째 주 일요일 및 공휴일 휴관불가능일일 입장 중구민 : 5,000원 타구민 : 6,000원 어린이 : 4,000원1종목 : 2시간 무료, 10분 초과당 500원 2종목 : 4시간 무료, 10분 초과당 500원 * 일일입장 이용 시 2시간 무료https://www.e-junggu.or.kr/fmcs/59수영장운영샤워실, 탈의실, 락커룸, 다목적실, 야외테라스, 휴게실21.11.01(월) 기준, * 이용 가능 대상 : 접종완료자, PCR음성확인자, 만18세미만, 접종불가자
8181130용산효창근린공원 농구장공공체육시설4311서울특별시 용산구 효창원로 177-18<NA>농구장(28m×15m) 2면용산구청02-2199-760800:00~24:0000:00~24:00<NA>불가능무료효창공원공영주차장 이용http://parks.seoul.go.kr/parks/detailView.do?pIdx=37농구장운영화장실, 매점, 음수대<NA>
8191530용산효창근린공원 배드민턴장공공체육시설4311서울특별시 용산구 효창원로 177-18<NA>배드민턴 코트 1면용산구청 공원녹지과02-2199-882300:00~24:0000:00~24:00<NA>불가능<NA>주차 가능https://hyochangpark.com/intro배드민턴장운영화장실, 음수대, 매점<NA>
8201131용산효창운동장공공체육시설<NA>서울특별시 용산구 효창동 효창원로 177-15<NA>인조잔디 경기장 (16,068㎡)서울특별시 축구협회02-713-141008:00~22:0008:00~22:00<NA>가능이용 인원에 따라 책정 사용료 상이10분당 300원 1일 최대 20,000원https://stadium.seoul.go.kr/about/hcgr축구장운영주차장, 화장실, 식당, 편의점<NA>
8211132용산효창종합사회복지관 수영장공공체육시설<NA>서울특별시 용산구 효창원로 146-12지하 1층 수영장성인풀(25m) 4레인용산구청02-716-060006:00~22:5006:00~22:50<NA>불가능운영 프로그램에 따라 이용 요금 상이주차 가능 (17면)https://www.hyochang.or.kr:6017/수영장휴관샤워실, 탈의실, 빨래방<NA>
8221133용산효창종합사회복지관 체육관공공체육시설<NA>서울특별시 용산구 효창원로 146-12<NA>지하 2층, 지상 4층용산구청02-716-060006:00~22:00토요일 07:00~15:00 / 일요일 및 공휴일 휴관<NA>불가능운영 프로그램에 따라 이용 요금 상이주차 가능 (17면)https://www.hyochang.or.kr:6017/생활체육관휴관샤워실, 탈의실, 빨래방배수관 누수로 인한 환경개선공사로 인해 2022년 공사 완료 이후 체육시설 재운영 예정
8231177중구훈련원공원종합체육관공공체육시설<NA>서울특별시 중구 을지로 227훈련원공원 내지하 2층, 지상 2층 / 대지 : 933.92㎡, 연면적 : 2,466.49㎡중구시설관리공단02-2280-839706:00~22:00주말 및 공휴일 06:00~22:00둘째 주, 넷째 주 일요일 / 신정, 설, 추석 휴관가능운영 프로그램에 따라 이용 요금 상이5분당 400원https://www.e-junggu.or.kr/fmcs/301생활체육관운영샤워실, 탈의실, 개인사물함, 관람석21.11.01(월) 기준, * 이용 가능 대상 : 접종완료자, PCR음성확인자, 만18세미만, 접종불가자
824895동작흑석체육센터공공체육시설<NA>서울특별시 동작구 동작구 현충로 73<NA>지하 1층, 지상 3충동작구시설관리공단02-823-227309:00~18:00주말 및 공휴일 휴관방역 시간(12:00~14:00) 내 미운영불가능운영 프로그램에 따라 이용 요금 상이주차 가능 (36면) 강습 회원 3시간 무료 초과시 5분당 250원https://www.idongjak.or.kr/html/facility/facility01_01_01.php생활체육관운영샤워실, 탈의실, 의무실, 개인사물함, 스포츠용품점* 21.11.15(월) 기준 이용 대상 - 백신 접종 완료자 (14일 경과자) - 18세 이하 * 감염 위험이 있거나 격렬한 유산소 운동은 미운영
825896동작흑석체육센터 수영장공공체육시설<NA>서울특별시 동작구 동작구 현충로 73지하 1층 수영장성인풀 5레인, 유아풀동작구시설관리공단02-823-227309:00~18:00주말 및 공휴일 휴관방역 시간(12:00~14:00) 내 미운영불가능운영 프로그램에 따라 이용 요금 상이주차 가능 (36면) 강습 회원 3시간 무료 초과시 5분당 250원https://www.idongjak.or.kr/html/facility/facility01_01_01.php수영장운영샤워실, 탈의실, 의무실, 개인사물함, 스포츠용품점* 21.11.15(월) 기준 이용 대상 - 백신 접종 완료자 (14일 경과자) - 18세 이하