Overview

Dataset statistics

Number of variables24
Number of observations27
Missing cells27
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory203.9 B

Variable types

Text10
DateTime3
Categorical4
Numeric5
Boolean1
Unsupported1

Dataset

Description시설id,등록일시,수정일시,시설명,서비스분류코드,서비스분류명,자치구코드,자치구명,행정동 코드,행정동명,x좌표값,y좌표값,우편번호,기본주소,상세주소,운영시작일,연락처,사용료무료여부,운영일,휴관일,이용정원(기관),이용정원(개인),신청가능연령,자치구코드배열
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21716/S/1/datasetView.do

Alerts

서비스분류코드 has constant value ""Constant
서비스분류명 has constant value ""Constant
사용료무료여부 is highly imbalanced (61.9%)Imbalance
자치구코드배열 has 27 (100.0%) missing valuesMissing
시설id has unique valuesUnique
등록일시 has unique valuesUnique
수정일시 has unique valuesUnique
시설명 has unique valuesUnique
x좌표값 has unique valuesUnique
y좌표값 has unique valuesUnique
우편번호 has unique valuesUnique
기본주소 has unique valuesUnique
상세주소 has unique valuesUnique
연락처 has unique valuesUnique
자치구코드배열 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 05:22:50.161057
Analysis finished2024-05-04 05:22:51.226833
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설id
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:22:51.435435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters216
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st rowJG240301
2nd rowSB240201
3rd rowGA240101
4th rowGD240101
5th rowDB231202
ValueCountFrequency (%)
jg240301 1
 
3.7%
dj230901 1
 
3.7%
jr220801 1
 
3.7%
yc221101 1
 
3.7%
dj221102 1
 
3.7%
sd221201 1
 
3.7%
gd230201 1
 
3.7%
gd230202 1
 
3.7%
gj230202 1
 
3.7%
gb230601 1
 
3.7%
Other values (17) 17
63.0%
2024-05-04T05:22:51.995652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 48
22.2%
0 45
20.8%
1 38
17.6%
3 19
 
8.8%
D 11
 
5.1%
G 9
 
4.2%
J 7
 
3.2%
S 6
 
2.8%
C 5
 
2.3%
Y 5
 
2.3%
Other values (13) 23
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
75.0%
Uppercase Letter 54
 
25.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 11
20.4%
G 9
16.7%
J 7
13.0%
S 6
11.1%
C 5
9.3%
Y 5
9.3%
B 5
9.3%
A 1
 
1.9%
F 1
 
1.9%
M 1
 
1.9%
Other values (3) 3
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 48
29.6%
0 45
27.8%
1 38
23.5%
3 19
 
11.7%
4 4
 
2.5%
8 3
 
1.9%
6 2
 
1.2%
9 1
 
0.6%
7 1
 
0.6%
5 1
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 162
75.0%
Latin 54
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 11
20.4%
G 9
16.7%
J 7
13.0%
S 6
11.1%
C 5
9.3%
Y 5
9.3%
B 5
9.3%
A 1
 
1.9%
F 1
 
1.9%
M 1
 
1.9%
Other values (3) 3
 
5.6%
Common
ValueCountFrequency (%)
2 48
29.6%
0 45
27.8%
1 38
23.5%
3 19
 
11.7%
4 4
 
2.5%
8 3
 
1.9%
6 2
 
1.2%
9 1
 
0.6%
7 1
 
0.6%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 48
22.2%
0 45
20.8%
1 38
17.6%
3 19
 
8.8%
D 11
 
5.1%
G 9
 
4.2%
J 7
 
3.2%
S 6
 
2.8%
C 5
 
2.3%
Y 5
 
2.3%
Other values (13) 23
10.6%

등록일시
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2022-05-24 16:46:37
Maximum2024-03-05 13:11:49
2024-05-04T05:22:52.222375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:22:52.577152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

수정일시
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2024-02-24 15:46:06
Maximum2024-05-02 16:34:58
2024-05-04T05:22:52.939664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:22:53.393181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

시설명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:22:53.819175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.407407
Min length15

Characters and Unicode

Total characters686
Distinct characters126
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

Unique27 ?
Unique (%)100.0%

Sample

1st row서울형 키즈카페 중구 중림점 노리몽땅
2nd row서울형 키즈카페 성북구 벌집어린이공원점
3rd row서울형 키즈카페 관악구 난곡동점
4th row서울형 키즈카페 강동구 성내1동점(아이?맘 강동)
5th row서울형 키즈카페 도봉구 창1동점(숲속유람선 뚜뚜)
ValueCountFrequency (%)
키즈카페 28
22.0%
서울형 27
21.3%
강동구 4
 
3.1%
강동 4
 
3.1%
도봉구 3
 
2.4%
동작구 2
 
1.6%
시립 2
 
1.6%
서초구 2
 
1.6%
양천구 2
 
1.6%
실내놀이터 2
 
1.6%
Other values (51) 51
40.2%
2024-05-04T05:22:54.502488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
14.6%
동 36
 
5.2%
서 33
 
4.8%
키 30
 
4.4%
즈 30
 
4.4%
카 30
 
4.4%
페 30
 
4.4%
울 28
 
4.1%
점 28
 
4.1%
형 27
 
3.9%
Other values (116) 314
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
74.8%
Space Separator 100
 
14.6%
Decimal Number 20
 
2.9%
Close Punctuation 18
 
2.6%
Open Punctuation 18
 
2.6%
Uppercase Letter 10
 
1.5%
Other Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
 
7.0%
서 33
 
6.4%
키 30
 
5.8%
즈 30
 
5.8%
카 30
 
5.8%
페 30
 
5.8%
울 28
 
5.5%
점 28
 
5.5%
형 27
 
5.3%
구 26
 
5.1%
Other values (95) 215
41.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
10.0%
O 1
10.0%
I 1
10.0%
S 1
10.0%
D 1
10.0%
K 1
10.0%
A 1
10.0%
Y 1
10.0%
L 1
10.0%
P 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
2 5
25.0%
3 4
20.0%
4 1
 
5.0%
5 1
 
5.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
? 5
71.4%
' 2
 
28.6%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
74.8%
Common 163
 
23.8%
Latin 10
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
 
7.0%
서 33
 
6.4%
키 30
 
5.8%
즈 30
 
5.8%
카 30
 
5.8%
페 30
 
5.8%
울 28
 
5.5%
점 28
 
5.5%
형 27
 
5.3%
구 26
 
5.1%
Other values (95) 215
41.9%
Common
ValueCountFrequency (%)
100
61.3%
) 18
 
11.0%
( 18
 
11.0%
1 8
 
4.9%
2 5
 
3.1%
? 5
 
3.1%
3 4
 
2.5%
' 2
 
1.2%
4 1
 
0.6%
5 1
 
0.6%
Latin
ValueCountFrequency (%)
N 1
10.0%
O 1
10.0%
I 1
10.0%
S 1
10.0%
D 1
10.0%
K 1
10.0%
A 1
10.0%
Y 1
10.0%
L 1
10.0%
P 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
74.8%
ASCII 173
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
57.8%
) 18
 
10.4%
( 18
 
10.4%
1 8
 
4.6%
2 5
 
2.9%
? 5
 
2.9%
3 4
 
2.3%
' 2
 
1.2%
N 1
 
0.6%
4 1
 
0.6%
Other values (11) 11
 
6.4%
Hangul
ValueCountFrequency (%)
동 36
 
7.0%
서 33
 
6.4%
키 30
 
5.8%
즈 30
 
5.8%
카 30
 
5.8%
페 30
 
5.8%
울 28
 
5.5%
점 28
 
5.5%
형 27
 
5.3%
구 26
 
5.1%
Other values (95) 215
41.9%

서비스분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
1011
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1011
2nd row1011
3rd row1011
4th row1011
5th row1011

Common Values

ValueCountFrequency (%)
1011 27
100.0%

Length

2024-05-04T05:22:54.748898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:22:55.047857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1011 27
100.0%

서비스분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
서울형키즈카페
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울형키즈카페 27
100.0%

Length

2024-05-04T05:22:55.365436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:22:55.659896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울형키즈카페 27
100.0%

자치구코드
Real number (ℝ)

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11452.222
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-04T05:22:55.940830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11149
Q111297.5
median11470
Q311605
95-th percentile11740
Maximum11740
Range630
Interquartile range (IQR)307.5

Descriptive statistics

Standard deviation202.02025
Coefficient of variation (CV)0.017640266
Kurtosis-1.2639419
Mean11452.222
Median Absolute Deviation (MAD)165
Skewness-0.096423495
Sum309210
Variance40812.179
MonotonicityNot monotonic
2024-05-04T05:22:56.308017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11740 4
14.8%
11590 3
11.1%
11320 3
11.1%
11470 3
11.1%
11650 2
 
7.4%
11440 1
 
3.7%
11110 1
 
3.7%
11260 1
 
3.7%
11200 1
 
3.7%
11215 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
11110 1
 
3.7%
11140 1
 
3.7%
11170 1
 
3.7%
11200 1
 
3.7%
11215 1
 
3.7%
11260 1
 
3.7%
11290 1
 
3.7%
11305 1
 
3.7%
11320 3
11.1%
11440 1
 
3.7%
ValueCountFrequency (%)
11740 4
14.8%
11650 2
7.4%
11620 1
 
3.7%
11590 3
11.1%
11560 1
 
3.7%
11500 1
 
3.7%
11470 3
11.1%
11440 1
 
3.7%
11320 3
11.1%
11305 1
 
3.7%

자치구명
Text

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:22:56.779254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters81
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)44.4%

Sample

1st row중구
2nd row성북구
3rd row관악구
4th row강동구
5th row도봉구
ValueCountFrequency (%)
강동구 4
14.8%
동작구 3
11.1%
도봉구 3
11.1%
양천구 3
11.1%
서초구 2
 
7.4%
강북구 1
 
3.7%
중구 1
 
3.7%
마포구 1
 
3.7%
중랑구 1
 
3.7%
광진구 1
 
3.7%
Other values (7) 7
25.9%
2024-05-04T05:22:57.562704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 27
33.3%
동 8
 
9.9%
강 6
 
7.4%
양 3
 
3.7%
천 3
 
3.7%
작 3
 
3.7%
도 3
 
3.7%
봉 3
 
3.7%
서 3
 
3.7%
포 2
 
2.5%
Other values (16) 20
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
33.3%
동 8
 
9.9%
강 6
 
7.4%
양 3
 
3.7%
천 3
 
3.7%
작 3
 
3.7%
도 3
 
3.7%
봉 3
 
3.7%
서 3
 
3.7%
포 2
 
2.5%
Other values (16) 20
24.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
33.3%
동 8
 
9.9%
강 6
 
7.4%
양 3
 
3.7%
천 3
 
3.7%
작 3
 
3.7%
도 3
 
3.7%
봉 3
 
3.7%
서 3
 
3.7%
포 2
 
2.5%
Other values (16) 20
24.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 27
33.3%
동 8
 
9.9%
강 6
 
7.4%
양 3
 
3.7%
천 3
 
3.7%
작 3
 
3.7%
도 3
 
3.7%
봉 3
 
3.7%
서 3
 
3.7%
포 2
 
2.5%
Other values (16) 20
24.7%

행정동 코드
Real number (ℝ)

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3133766.4
Minimum3000054
Maximum3240053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-04T05:22:58.004122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000054
5-th percentile3013071.3
Q13075097.5
median3140043
Q33195112.5
95-th percentile3240044.7
Maximum3240053
Range239999
Interquartile range (IQR)120015

Descriptive statistics

Standard deviation77709.075
Coefficient of variation (CV)0.024797341
Kurtosis-1.2392742
Mean3133766.4
Median Absolute Deviation (MAD)60126
Skewness-0.18864527
Sum84611694
Variance6.0387004 × 109
MonotonicityNot monotonic
2024-05-04T05:22:58.575888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3190056 2
 
7.4%
3210055 2
 
7.4%
3150059 1
 
3.7%
3000054 1
 
3.7%
3060042 1
 
3.7%
3140058 1
 
3.7%
3190043 1
 
3.7%
3030120 1
 
3.7%
3240044 1
 
3.7%
3240045 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
3000054 1
3.7%
3010056 1
3.7%
3020107 1
3.7%
3030120 1
3.7%
3040044 1
3.7%
3060042 1
3.7%
3070144 1
3.7%
3080051 1
3.7%
3090040 1
3.7%
3090046 1
3.7%
ValueCountFrequency (%)
3240053 1
3.7%
3240045 1
3.7%
3240044 1
3.7%
3240040 1
3.7%
3210055 2
7.4%
3200169 1
3.7%
3190056 2
7.4%
3190043 1
3.7%
3180062 1
3.7%
3150059 1
3.7%

행정동명
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:22:59.073155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.6666667
Min length3

Characters and Unicode

Total characters99
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row중림동
2nd row종암동
3rd row난곡동
4th row성내1동
5th row창1동
ValueCountFrequency (%)
대방동 2
 
7.4%
양재1동 2
 
7.4%
발산1동 1
 
3.7%
중림동 1
 
3.7%
면목4동 1
 
3.7%
신정7동 1
 
3.7%
상도3동 1
 
3.7%
금호2-3가동 1
 
3.7%
고덕2동 1
 
3.7%
암사1동 1
 
3.7%
Other values (15) 15
55.6%
2024-05-04T05:23:00.254086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 27
27.3%
1 8
 
8.1%
3 4
 
4.0%
2 4
 
4.0%
대 3
 
3.0%
암 3
 
3.0%
방 3
 
3.0%
목 3
 
3.0%
상 3
 
3.0%
곡 2
 
2.0%
Other values (34) 39
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
79.8%
Decimal Number 19
 
19.2%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
34.2%
대 3
 
3.8%
암 3
 
3.8%
방 3
 
3.8%
목 3
 
3.8%
상 3
 
3.8%
곡 2
 
2.5%
림 2
 
2.5%
양 2
 
2.5%
재 2
 
2.5%
Other values (27) 29
36.7%
Decimal Number
ValueCountFrequency (%)
1 8
42.1%
3 4
21.1%
2 4
21.1%
4 1
 
5.3%
7 1
 
5.3%
5 1
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79
79.8%
Common 20
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
34.2%
대 3
 
3.8%
암 3
 
3.8%
방 3
 
3.8%
목 3
 
3.8%
상 3
 
3.8%
곡 2
 
2.5%
림 2
 
2.5%
양 2
 
2.5%
재 2
 
2.5%
Other values (27) 29
36.7%
Common
ValueCountFrequency (%)
1 8
40.0%
3 4
20.0%
2 4
20.0%
4 1
 
5.0%
- 1
 
5.0%
7 1
 
5.0%
5 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79
79.8%
ASCII 20
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 27
34.2%
대 3
 
3.8%
암 3
 
3.8%
방 3
 
3.8%
목 3
 
3.8%
상 3
 
3.8%
곡 2
 
2.5%
림 2
 
2.5%
양 2
 
2.5%
재 2
 
2.5%
Other values (27) 29
36.7%
ASCII
ValueCountFrequency (%)
1 8
40.0%
3 4
20.0%
2 4
20.0%
4 1
 
5.0%
- 1
 
5.0%
7 1
 
5.0%
5 1
 
5.0%

x좌표값
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99818
Minimum126.82624
Maximum127.17236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-04T05:23:00.804672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82624
5-th percentile126.87112
Q1126.92327
median127.02098
Q3127.04685
95-th percentile127.15389
Maximum127.17236
Range0.34612272
Interquartile range (IQR)0.12358107

Descriptive statistics

Standard deviation0.095755003
Coefficient of variation (CV)0.00075398724
Kurtosis-0.91945595
Mean126.99818
Median Absolute Deviation (MAD)0.08861
Skewness0.070359524
Sum3428.9507
Variance0.0091690207
MonotonicityNot monotonic
2024-05-04T05:23:01.399200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.96625 1
 
3.7%
127.03692497748662 1
 
3.7%
126.99881 1
 
3.7%
127.08464567360986 1
 
3.7%
126.87003 1
 
3.7%
126.93237 1
 
3.7%
127.02098 1
 
3.7%
127.16454 1
 
3.7%
127.12903 1
 
3.7%
127.08457341402034 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
126.826237282211 1
3.7%
126.87003 1
3.7%
126.87365 1
3.7%
126.88362 1
3.7%
126.8837046650724 1
3.7%
126.90537978229072 1
3.7%
126.92299 1
3.7%
126.92355 1
3.7%
126.92731 1
3.7%
126.93237 1
3.7%
ValueCountFrequency (%)
127.17236 1
3.7%
127.16454 1
3.7%
127.12903 1
3.7%
127.12248 1
3.7%
127.08464567360986 1
3.7%
127.08457341402034 1
3.7%
127.04717214853598 1
3.7%
127.04653 1
3.7%
127.04554 1
3.7%
127.0427606251043 1
3.7%

y좌표값
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.552328
Minimum37.46941
Maximum37.66967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-04T05:23:01.796313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.46941
5-th percentile37.472463
Q137.510935
median37.55141
Q337.576521
95-th percentile37.662789
Maximum37.66967
Range0.20026
Interquartile range (IQR)0.065586467

Descriptive statistics

Standard deviation0.055856542
Coefficient of variation (CV)0.0014874322
Kurtosis-0.084434778
Mean37.552328
Median Absolute Deviation (MAD)0.03896
Skewness0.60128613
Sum1013.9128
Variance0.0031199533
MonotonicityNot monotonic
2024-05-04T05:23:02.262066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.55952 1
 
3.7%
37.599613685694365 1
 
3.7%
37.59048 1
 
3.7%
37.57252293384907 1
 
3.7%
37.50942 1
 
3.7%
37.50199 1
 
3.7%
37.55322 1
 
3.7%
37.55712 1
 
3.7%
37.55141 1
 
3.7%
37.565429205930194 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
37.46941 1
3.7%
37.46991 1
3.7%
37.47842131149064 1
3.7%
37.48820385495539 1
3.7%
37.50199 1
3.7%
37.50462 1
3.7%
37.50942 1
3.7%
37.51245 1
3.7%
37.52682 1
3.7%
37.52757 1
3.7%
ValueCountFrequency (%)
37.66967 1
3.7%
37.66877511993172 1
3.7%
37.64882 1
3.7%
37.62928861053399 1
3.7%
37.599613685694365 1
3.7%
37.59048 1
3.7%
37.58052 1
3.7%
37.57252293384907 1
3.7%
37.565429205930194 1
3.7%
37.55952 1
3.7%

우편번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5163.8519
Minimum1224
Maximum8856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-04T05:23:02.919407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1224
5-th percentile1330.3
Q13485.5
median5263
Q36948
95-th percentile8070.2
Maximum8856
Range7632
Interquartile range (IQR)3462.5

Descriptive statistics

Standard deviation2356.9826
Coefficient of variation (CV)0.45643886
Kurtosis-1.0421048
Mean5163.8519
Median Absolute Deviation (MAD)1688
Skewness-0.32742687
Sum139424
Variance5555367.1
MonotonicityNot monotonic
2024-05-04T05:23:03.545493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4506 1
 
3.7%
2797 1
 
3.7%
3066 1
 
3.7%
2255 1
 
3.7%
8102 1
 
3.7%
6951 1
 
3.7%
4728 1
 
3.7%
5224 1
 
3.7%
5263 1
 
3.7%
4933 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1224 1
3.7%
1330 1
3.7%
1331 1
3.7%
1425 1
3.7%
2255 1
3.7%
2797 1
3.7%
3066 1
3.7%
3905 1
3.7%
4387 1
3.7%
4506 1
3.7%
ValueCountFrequency (%)
8856 1
3.7%
8102 1
3.7%
7996 1
3.7%
7978 1
3.7%
7641 1
3.7%
7444 1
3.7%
6951 1
3.7%
6945 1
3.7%
6938 1
3.7%
6769 1
3.7%

기본주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:04.387799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.62963
Min length17

Characters and Unicode

Total characters503
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 서소문로6길 16
2nd row서울특별시 성북구 월곡로7길 56-7
3rd row서울특별시 관악구 난곡로24가길 53
4th row서울특별시 강동구 성내로6길 16
5th row서울특별시 도봉구 해등로4길 38
ValueCountFrequency (%)
서울특별시 27
25.0%
강동구 4
 
3.7%
동작구 3
 
2.8%
도봉구 3
 
2.8%
양천구 3
 
2.8%
16 3
 
2.8%
서초구 2
 
1.9%
마들로 2
 
1.9%
능동로 1
 
0.9%
광진구 1
 
0.9%
Other values (59) 59
54.6%
2024-05-04T05:23:05.636732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
16.1%
서 33
 
6.6%
시 28
 
5.6%
울 27
 
5.4%
구 27
 
5.4%
로 27
 
5.4%
별 27
 
5.4%
특 27
 
5.4%
1 23
 
4.6%
6 13
 
2.6%
Other values (73) 190
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
65.0%
Decimal Number 91
 
18.1%
Space Separator 81
 
16.1%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 33
 
10.1%
시 28
 
8.6%
울 27
 
8.3%
구 27
 
8.3%
로 27
 
8.3%
별 27
 
8.3%
특 27
 
8.3%
길 13
 
4.0%
동 11
 
3.4%
강 6
 
1.8%
Other values (61) 101
30.9%
Decimal Number
ValueCountFrequency (%)
1 23
25.3%
6 13
14.3%
5 11
12.1%
0 9
 
9.9%
2 9
 
9.9%
3 7
 
7.7%
9 5
 
5.5%
8 5
 
5.5%
4 5
 
5.5%
7 4
 
4.4%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
65.0%
Common 176
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 33
 
10.1%
시 28
 
8.6%
울 27
 
8.3%
구 27
 
8.3%
로 27
 
8.3%
별 27
 
8.3%
특 27
 
8.3%
길 13
 
4.0%
동 11
 
3.4%
강 6
 
1.8%
Other values (61) 101
30.9%
Common
ValueCountFrequency (%)
81
46.0%
1 23
 
13.1%
6 13
 
7.4%
5 11
 
6.2%
0 9
 
5.1%
2 9
 
5.1%
3 7
 
4.0%
9 5
 
2.8%
8 5
 
2.8%
4 5
 
2.8%
Other values (2) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
65.0%
ASCII 176
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
46.0%
1 23
 
13.1%
6 13
 
7.4%
5 11
 
6.2%
0 9
 
5.1%
2 9
 
5.1%
3 7
 
4.0%
9 5
 
2.8%
8 5
 
2.8%
4 5
 
2.8%
Other values (2) 8
 
4.5%
Hangul
ValueCountFrequency (%)
서 33
 
10.1%
시 28
 
8.6%
울 27
 
8.3%
구 27
 
8.3%
로 27
 
8.3%
별 27
 
8.3%
특 27
 
8.3%
길 13
 
4.0%
동 11
 
3.4%
강 6
 
1.8%
Other values (61) 101
30.9%

상세주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:06.352305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length17.62963
Min length6

Characters and Unicode

Total characters476
Distinct characters132
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row본관 1층 (중림동)
2nd row서울형 키즈카페 성북구 벌집어린이공원점 (종암동)
3rd row2층 (신림동)
4th row2층 (성내동)
5th row초안산생태공원 내 위치 (창동)
ValueCountFrequency (%)
2층 9
 
10.0%
서울형 4
 
4.4%
키즈카페 4
 
4.4%
대방동 2
 
2.2%
1층 2
 
2.2%
목동 2
 
2.2%
4층 2
 
2.2%
3층 2
 
2.2%
양재동 2
 
2.2%
본관 1
 
1.1%
Other values (60) 60
66.7%
2024-05-04T05:23:07.561073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
14.1%
동 28
 
5.9%
) 27
 
5.7%
( 27
 
5.7%
층 20
 
4.2%
2 14
 
2.9%
3 9
 
1.9%
, 9
 
1.9%
가 8
 
1.7%
공 7
 
1.5%
Other values (122) 260
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
64.9%
Space Separator 67
 
14.1%
Decimal Number 35
 
7.4%
Close Punctuation 27
 
5.7%
Open Punctuation 27
 
5.7%
Other Punctuation 9
 
1.9%
Dash Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
9.1%
층 20
 
6.5%
가 8
 
2.6%
공 7
 
2.3%
상 7
 
2.3%
서 6
 
1.9%
울 6
 
1.9%
지 6
 
1.9%
내 6
 
1.9%
구 5
 
1.6%
Other values (110) 210
68.0%
Decimal Number
ValueCountFrequency (%)
2 14
40.0%
3 9
25.7%
1 6
17.1%
0 3
 
8.6%
4 2
 
5.7%
9 1
 
2.9%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
64.9%
Common 167
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
9.1%
층 20
 
6.5%
가 8
 
2.6%
공 7
 
2.3%
상 7
 
2.3%
서 6
 
1.9%
울 6
 
1.9%
지 6
 
1.9%
내 6
 
1.9%
구 5
 
1.6%
Other values (110) 210
68.0%
Common
ValueCountFrequency (%)
67
40.1%
) 27
16.2%
( 27
16.2%
2 14
 
8.4%
3 9
 
5.4%
, 9
 
5.4%
1 6
 
3.6%
0 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
64.9%
ASCII 167
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
40.1%
) 27
16.2%
( 27
16.2%
2 14
 
8.4%
3 9
 
5.4%
, 9
 
5.4%
1 6
 
3.6%
0 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other values (2) 2
 
1.2%
Hangul
ValueCountFrequency (%)
동 28
 
9.1%
층 20
 
6.5%
가 8
 
2.6%
공 7
 
2.3%
상 7
 
2.3%
서 6
 
1.9%
울 6
 
1.9%
지 6
 
1.9%
내 6
 
1.9%
구 5
 
1.6%
Other values (110) 210
68.0%

운영시작일
Date

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2023-01-18 00:00:00
Maximum2024-04-25 00:00:00
2024-05-04T05:23:08.025404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:23:08.400245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:09.009201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.814815
Min length11

Characters and Unicode

Total characters319
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

Unique27 ?
Unique (%)100.0%

Sample

1st row02-363-2628
2nd row02-2241-0790
3rd row02-867-2846
4th row02-3425-9398
5th row02-994-7456
ValueCountFrequency (%)
02-363-2628 1
 
3.7%
02-824-0614 1
 
3.7%
02-2207-1123 1
 
3.7%
02-2135-5946 1
 
3.7%
070-7163-1474 1
 
3.7%
02-6952-6799 1
 
3.7%
02-3425-9435 1
 
3.7%
02-3425-9489 1
 
3.7%
02-467-1827 1
 
3.7%
02-988-0271 1
 
3.7%
Other values (17) 17
63.0%
2024-05-04T05:23:10.231548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.9%
2 52
16.3%
0 46
14.4%
7 34
10.7%
4 26
8.2%
9 22
6.9%
3 21
 
6.6%
6 18
 
5.6%
8 16
 
5.0%
5 16
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
83.1%
Dash Punctuation 54
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
19.6%
0 46
17.4%
7 34
12.8%
4 26
9.8%
9 22
8.3%
3 21
7.9%
6 18
 
6.8%
8 16
 
6.0%
5 16
 
6.0%
1 14
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.9%
2 52
16.3%
0 46
14.4%
7 34
10.7%
4 26
8.2%
9 22
6.9%
3 21
 
6.6%
6 18
 
5.6%
8 16
 
5.0%
5 16
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.9%
2 52
16.3%
0 46
14.4%
7 34
10.7%
4 26
8.2%
9 22
6.9%
3 21
 
6.6%
6 18
 
5.6%
8 16
 
5.0%
5 16
 
5.0%

사용료무료여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
False
25 
True
 
2
ValueCountFrequency (%)
False 25
92.6%
True 2
 
7.4%
2024-05-04T05:23:10.767780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운영일
Categorical

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
화~일
11 
월~토
5 
화~토
2 
월요일 ~ 토요일
2 
화~일요일
 
1
Other values (6)
6 

Length

Max length21
Median length3
Mean length5.6296296
Min length3

Unique

Unique7 ?
Unique (%)25.9%

Sample

1st row화~일
2nd row화~일
3rd row화~일
4th row화~일
5th row화~일

Common Values

ValueCountFrequency (%)
화~일 11
40.7%
월~토 5
18.5%
화~토 2
 
7.4%
월요일 ~ 토요일 2
 
7.4%
화~일요일 1
 
3.7%
월~토 1
 
3.7%
화요일~일요일 1
 
3.7%
월 ~ 토 1
 
3.7%
월요일~토요일 09:30~17:30 1
 
3.7%
화요일 ~ 일요일 10:00~17:30 1
 
3.7%

Length

2024-05-04T05:23:11.282775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화~일 11
26.8%
월~토 6
14.6%
5
12.2%
화~토 2
 
4.9%
월요일 2
 
4.9%
토요일 2
 
4.9%
일요일 2
 
4.9%
화요일 2
 
4.9%
09:30~17:30 1
 
2.4%
공휴일 1
 
2.4%
Other values (7) 7
17.1%

휴관일
Text

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:11.811381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length25
Mean length21.074074
Min length1

Characters and Unicode

Total characters569
Distinct characters53
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

Unique19 ?
Unique (%)70.4%

Sample

1st row월
2nd row월, 법정공휴일, 근로자의 날, 기타 정부에서 지정하는 휴일
3rd row월요일. 공휴일, 근로자의날
4th row법정공휴일, 월요일
5th row월요일, 공휴일
ValueCountFrequency (%)
날 15
 
11.0%
근로자의 14
 
10.3%
공휴일 13
 
9.6%
월요일 11
 
8.1%
일요일 10
 
7.4%
법정공휴일 9
 
6.6%
및 8
 
5.9%
명절 7
 
5.1%
월 5
 
3.7%
제외 4
 
2.9%
Other values (24) 40
29.4%
2024-05-04T05:23:12.856846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
19.3%
일 70
12.3%
, 51
 
9.0%
휴 34
 
6.0%
공 29
 
5.1%
날 25
 
4.4%
요 24
 
4.2%
로 20
 
3.5%
월 19
 
3.3%
자 18
 
3.2%
Other values (43) 169
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
69.8%
Space Separator 110
 
19.3%
Other Punctuation 52
 
9.1%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 70
17.6%
휴 34
 
8.6%
공 29
 
7.3%
날 25
 
6.3%
요 24
 
6.0%
로 20
 
5.0%
월 19
 
4.8%
자 18
 
4.5%
의 18
 
4.5%
근 18
 
4.5%
Other values (38) 122
30.7%
Other Punctuation
ValueCountFrequency (%)
, 51
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
69.8%
Common 172
30.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 70
17.6%
휴 34
 
8.6%
공 29
 
7.3%
날 25
 
6.3%
요 24
 
6.0%
로 20
 
5.0%
월 19
 
4.8%
자 18
 
4.5%
의 18
 
4.5%
근 18
 
4.5%
Other values (38) 122
30.7%
Common
ValueCountFrequency (%)
110
64.0%
, 51
29.7%
) 5
 
2.9%
( 5
 
2.9%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
69.8%
ASCII 172
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
64.0%
, 51
29.7%
) 5
 
2.9%
( 5
 
2.9%
. 1
 
0.6%
Hangul
ValueCountFrequency (%)
일 70
17.6%
휴 34
 
8.6%
공 29
 
7.3%
날 25
 
6.3%
요 24
 
6.0%
로 20
 
5.0%
월 19
 
4.8%
자 18
 
4.5%
의 18
 
4.5%
근 18
 
4.5%
Other values (38) 122
30.7%

이용정원(기관)
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:13.341953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.7407407
Min length2

Characters and Unicode

Total characters182
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row27
2nd row16
3rd row영유아10명
4th row22명(최대)
5th row16명
ValueCountFrequency (%)
기준 5
 
13.5%
30명 3
 
8.1%
최대 2
 
5.4%
20명(유아 2
 
5.4%
16명 2
 
5.4%
30명(영유아 1
 
2.7%
회차별 1
 
2.7%
27 1
 
2.7%
35명 1
 
2.7%
20명(영유아 1
 
2.7%
Other values (18) 18
48.6%
2024-05-04T05:23:14.574895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 25
13.7%
13
 
7.1%
2 12
 
6.6%
0 12
 
6.6%
아 11
 
6.0%
( 11
 
6.0%
) 11
 
6.0%
1 10
 
5.5%
유 10
 
5.5%
기 9
 
4.9%
Other values (24) 58
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
48.9%
Decimal Number 57
31.3%
Space Separator 13
 
7.1%
Open Punctuation 11
 
6.0%
Close Punctuation 11
 
6.0%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 25
28.1%
아 11
12.4%
유 10
 
11.2%
기 9
 
10.1%
준 9
 
10.1%
영 7
 
7.9%
대 3
 
3.4%
최 3
 
3.4%
동 1
 
1.1%
포 1
 
1.1%
Other values (10) 10
 
11.2%
Decimal Number
ValueCountFrequency (%)
2 12
21.1%
0 12
21.1%
1 10
17.5%
3 6
10.5%
5 5
8.8%
4 5
8.8%
6 3
 
5.3%
8 2
 
3.5%
7 1
 
1.8%
9 1
 
1.8%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
51.1%
Hangul 89
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 25
28.1%
아 11
12.4%
유 10
 
11.2%
기 9
 
10.1%
준 9
 
10.1%
영 7
 
7.9%
대 3
 
3.4%
최 3
 
3.4%
동 1
 
1.1%
포 1
 
1.1%
Other values (10) 10
 
11.2%
Common
ValueCountFrequency (%)
13
14.0%
2 12
12.9%
0 12
12.9%
( 11
11.8%
) 11
11.8%
1 10
10.8%
3 6
6.5%
5 5
 
5.4%
4 5
 
5.4%
6 3
 
3.2%
Other values (4) 5
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
51.1%
Hangul 89
48.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 25
28.1%
아 11
12.4%
유 10
 
11.2%
기 9
 
10.1%
준 9
 
10.1%
영 7
 
7.9%
대 3
 
3.4%
최 3
 
3.4%
동 1
 
1.1%
포 1
 
1.1%
Other values (10) 10
 
11.2%
ASCII
ValueCountFrequency (%)
13
14.0%
2 12
12.9%
0 12
12.9%
( 11
11.8%
) 11
11.8%
1 10
10.8%
3 6
6.5%
5 5
 
5.4%
4 5
 
5.4%
6 3
 
3.2%
Other values (4) 5
 
5.4%

이용정원(개인)
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-04T05:23:15.093992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.1111111
Min length1

Characters and Unicode

Total characters192
Distinct characters28
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

Unique21 ?
Unique (%)77.8%

Sample

1st row27
2nd row8
3rd row영유아7명
4th row22명(영유아기준)
5th row11명
ValueCountFrequency (%)
기준 6
 
16.2%
16명 2
 
5.4%
20명 2
 
5.4%
14명(영유아기준 2
 
5.4%
18명 1
 
2.7%
영유아 1
 
2.7%
회차별 1
 
2.7%
27 1
 
2.7%
28명 1
 
2.7%
20명(유아 1
 
2.7%
Other values (19) 19
51.4%
2024-05-04T05:23:16.337889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 25
13.0%
2 16
 
8.3%
1 15
 
7.8%
아 15
 
7.8%
유 14
 
7.3%
( 13
 
6.8%
기 13
 
6.8%
준 13
 
6.8%
) 13
 
6.8%
영 11
 
5.7%
Other values (18) 44
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
51.6%
Decimal Number 55
28.6%
Open Punctuation 13
 
6.8%
Close Punctuation 13
 
6.8%
Space Separator 10
 
5.2%
Math Symbol 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 25
25.3%
아 15
15.2%
유 14
14.1%
기 13
13.1%
준 13
13.1%
영 11
11.1%
세 1
 
1.0%
동 1
 
1.0%
총 1
 
1.0%
정 1
 
1.0%
Other values (4) 4
 
4.0%
Decimal Number
ValueCountFrequency (%)
2 16
29.1%
1 15
27.3%
0 6
 
10.9%
4 5
 
9.1%
5 4
 
7.3%
6 3
 
5.5%
8 3
 
5.5%
7 2
 
3.6%
9 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
51.6%
Common 93
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 25
25.3%
아 15
15.2%
유 14
14.1%
기 13
13.1%
준 13
13.1%
영 11
11.1%
세 1
 
1.0%
동 1
 
1.0%
총 1
 
1.0%
정 1
 
1.0%
Other values (4) 4
 
4.0%
Common
ValueCountFrequency (%)
2 16
17.2%
1 15
16.1%
( 13
14.0%
) 13
14.0%
10
10.8%
0 6
 
6.5%
4 5
 
5.4%
5 4
 
4.3%
6 3
 
3.2%
8 3
 
3.2%
Other values (4) 5
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
51.6%
ASCII 93
48.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 25
25.3%
아 15
15.2%
유 14
14.1%
기 13
13.1%
준 13
13.1%
영 11
11.1%
세 1
 
1.0%
동 1
 
1.0%
총 1
 
1.0%
정 1
 
1.0%
Other values (4) 4
 
4.0%
ASCII
ValueCountFrequency (%)
2 16
17.2%
1 15
16.1%
( 13
14.0%
) 13
14.0%
10
10.8%
0 6
 
6.5%
4 5
 
5.4%
5 4
 
4.3%
6 3
 
3.2%
8 3
 
3.2%
Other values (4) 5
 
5.4%

신청가능연령
Categorical

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
0세 ~ 6세
11 
2세 ~ 6세
4 
1세 ~ 6세
2 
4세 ~ 8세
2 
3세 ~ 7세
 
1
Other values (7)
7 

Length

Max length8
Median length7
Mean length7.0740741
Min length7

Unique

Unique8 ?
Unique (%)29.6%

Sample

1st row0세 ~ 6세
2nd row3세 ~ 7세
3rd row0세 ~ 7세
4th row0세 ~ 6세
5th row2세 ~ 6세

Common Values

ValueCountFrequency (%)
0세 ~ 6세 11
40.7%
2세 ~ 6세 4
 
14.8%
1세 ~ 6세 2
 
7.4%
4세 ~ 8세 2
 
7.4%
3세 ~ 7세 1
 
3.7%
0세 ~ 7세 1
 
3.7%
2세 ~ 7세 1
 
3.7%
4세 ~ 9세 1
 
3.7%
6세 ~ 12세 1
 
3.7%
4세 ~ 6세 1
 
3.7%
Other values (2) 2
 
7.4%

Length

2024-05-04T05:23:16.996241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
27
33.3%
6세 19
23.5%
0세 12
14.8%
2세 5
 
6.2%
4세 5
 
6.2%
7세 3
 
3.7%
1세 2
 
2.5%
8세 2
 
2.5%
9세 2
 
2.5%
3세 1
 
1.2%
Other values (3) 3
 
3.7%

자치구코드배열
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Sample

시설id등록일시수정일시시설명서비스분류코드서비스분류명자치구코드자치구명행정동 코드행정동명x좌표값y좌표값우편번호기본주소상세주소운영시작일연락처사용료무료여부운영일휴관일이용정원(기관)이용정원(개인)신청가능연령자치구코드배열
0JG2403012024-03-05 13:11:49.02024-05-02 10:58:50.0서울형 키즈카페 중구 중림점 노리몽땅1011서울형키즈카페11140중구3010056중림동126.9662537.559524506서울특별시 중구 서소문로6길 16본관 1층 (중림동)2024-04-2502-363-2628N화~일월27270세 ~ 6세<NA>
1SB2402012024-02-23 17:00:33.02024-04-12 09:55:02.0서울형 키즈카페 성북구 벌집어린이공원점1011서울형키즈카페11290성북구3070144종암동127.03692537.5996142797서울특별시 성북구 월곡로7길 56-7서울형 키즈카페 성북구 벌집어린이공원점 (종암동)2024-02-2902-2241-0790N화~일월, 법정공휴일, 근로자의 날, 기타 정부에서 지정하는 휴일1683세 ~ 7세<NA>
2GA2401012024-01-31 15:38:11.02024-05-02 09:37:04.0서울형 키즈카페 관악구 난곡동점1011서울형키즈카페11620관악구3200169난곡동126.9235537.469418856서울특별시 관악구 난곡로24가길 532층 (신림동)2024-03-0502-867-2846N화~일월요일. 공휴일, 근로자의날영유아10명영유아7명0세 ~ 7세<NA>
3GD2401012024-01-18 11:17:45.02024-04-18 16:36:36.0서울형 키즈카페 강동구 성내1동점(아이?맘 강동)1011서울형키즈카페11740강동구3240053성내1동127.1224837.529175398서울특별시 강동구 성내로6길 162층 (성내동)2024-02-0202-3425-9398N화~일법정공휴일, 월요일22명(최대)22명(영유아기준)0세 ~ 6세<NA>
4DB2312022023-12-21 18:25:02.02024-03-12 17:38:02.0서울형 키즈카페 도봉구 창1동점(숲속유람선 뚜뚜)1011서울형키즈카페11320도봉구3090040창1동127.0455437.648821425서울특별시 도봉구 해등로4길 38초안산생태공원 내 위치 (창동)2024-01-1602-994-7456N화~일월요일, 공휴일16명11명2세 ~ 6세<NA>
5DB2312012023-12-21 18:14:15.02024-05-02 16:34:58.0서울형 키즈카페 도봉구 방학1동점(오르봉내리봉)1011서울형키즈카페11320도봉구3090051방학1동127.04717237.6687751331서울특별시 도봉구 마들로 656도봉구청사, 지하1층 (방학동)2024-01-16070-4190-8922N화~일월요일, 공휴일 (근로자의 날 포함)30명20명2세 ~ 7세<NA>
6GD2312012023-12-08 16:39:27.02024-04-18 16:39:30.0서울형 키즈카페 강동구 상일2동점(아이?맘 강동)1011서울형키즈카페11740강동구3240040상일동127.1723637.556785285서울특별시 강동구 상일로12길 95푸르내상가 102-303 (상일동, 푸르내)2024-01-2202-3425-7076N화~일법정공휴일, 월요일14명14명(영유아기준)0세 ~ 6세<NA>
7YC2312062023-12-07 08:33:02.02024-04-25 15:58:00.0서울형 키즈카페 양천구 오목공원점1011서울형키즈카페11470양천구3140039목1동126.8736537.527577996서울특별시 양천구 목동서로 159-4서울형 키즈카페 양천구 오목공원점 (목동)2024-02-13010-9508-0596Y화~일요일월요일, 공휴일, 근로자의 날10명(아동기준)10명(아동기준)4세 ~ 9세<NA>
8SC2312012023-12-01 13:42:50.02024-04-30 10:48:25.0서울형 키즈카페 서초구 양재1동점(서리풀노리학교 양재1동점)1011서울형키즈카페11650서초구3210055양재1동127.04065937.4784216747서울특별시 서초구 양재천로 125-10양재공영주차장 2층 (양재동)2024-01-2602-575-9340N월~토일요일, 근로자의 날, 법정공휴일30명(영유아기준)24명(영유아기준)0세 ~ 6세<NA>
9YC2312012023-12-01 10:57:52.02024-04-29 16:30:23.0서울형 키즈카페 시립 목동점1011서울형키즈카페11470양천구3140043목5동126.88370537.5421947978서울특별시 양천구 안양천로 1131지식산업센터 2층 (목동)2024-01-1502-2647-7507N월~토일요일, 명절 및 공휴일24명(5~12세)24명(6~12세)6세 ~ 12세<NA>
시설id등록일시수정일시시설명서비스분류코드서비스분류명자치구코드자치구명행정동 코드행정동명x좌표값y좌표값우편번호기본주소상세주소운영시작일연락처사용료무료여부운영일휴관일이용정원(기관)이용정원(개인)신청가능연령자치구코드배열
17DJ2307012023-07-12 17:05:37.02024-03-04 15:02:04.0서울형 키즈카페 동작구 대방동점(동작키즈카페)1011서울형키즈카페11590동작구3190056대방동126.9229937.504626945서울특별시 동작구 여의대방로36길 114층 (대방동)2023-08-0502-823-4587N화~일월요일, 명절 및 공휴일30명(영유아 기준)15명(영유아 기준)0세 ~ 6세<NA>
18GB2306012023-06-08 15:59:54.02024-04-24 10:20:24.0서울형 키즈카페 강북구 번3동점(강북구 'PLAY ON')1011서울형키즈카페11305강북구3080051번3동127.04276137.6292891224서울특별시 강북구 오현로 208번동주공아파트 309동, 1층 (주민복지관 1, 어린이실내놀이터)2023-08-0102-988-0271N월요일 ~ 토요일일요일, 명절 및 법정공휴일, 근로자의 날16명16명4세 ~ 8세<NA>
19GJ2302022023-02-28 10:18:05.02024-04-02 13:49:39.0서울형 키즈카페 광진구 중곡3동점(꾸미팡팡 놀이터)1011서울형키즈카페11215광진구3040044중곡3동127.08457337.5654294933서울특별시 광진구 능동로 400보건복지행정타운 별관 3층(중곡동)2023-04-0102-467-1827N월요일~토요일 09:30~17:30일요일, 법정공휴일, 대체휴무일, 근로자의 날영유아 기준 45명영유아 기준 42명1세 ~ 6세<NA>
20GD2302022023-02-22 17:00:08.02024-04-19 11:16:19.0서울형 키즈카페 강동구 암사1동점(아이?맘 강동)1011서울형키즈카페11740강동구3240045암사1동127.1290337.551415263서울특별시 강동구 올림픽로98길 15,3층 (암사동)2023-03-2802-3425-9489N월~토일요일, 명절 및 공휴일최대 19명총 정원: 19명0세 ~ 6세<NA>
21GD2302012023-02-15 11:11:46.02024-04-18 16:41:34.0서울형 키즈카페 강동구 고덕2동점(아이?맘 강동)1011서울형키즈카페11740강동구3240044고덕2동127.1645437.557125224서울특별시 강동구 고덕로 353일반상가 2층 (고덕동)2023-03-2802-3425-9435N화~일월요일, 명절 및 공휴일최대 12명12명(영유아 기준)0세 ~ 6세<NA>
22SD2212012022-12-27 14:43:08.02024-04-05 10:59:55.0서울형 키즈카페 성동구 금호2?3가동점(금호 키즈카페)1011서울형키즈카페11200성동구3030120금호2-3가동127.0209837.553224728서울특별시 성동구 무수막18길 1금호2,3가동주민센터 4층 (금호동2가)2023-01-1802-6952-6799N월요일 ~ 토요일일요일, 법정공휴일, 근로자의 날28명(영유아기준)14명(영유아기준)0세 ~ 6세<NA>
23DJ2211022022-11-15 18:34:53.02024-04-25 11:07:39.0서울형 키즈카페 동작구 상도3동점(동작키즈카페)1011서울형키즈카페11590동작구3190043상도3동126.9323737.501996951서울특별시 동작구 상도로15가길 16가온어린이집 3층 서울형키즈카페 (상도동)2023-01-31070-7163-1474Y화~일월요일, 근로자의날, 명절 및 공휴일20명(영유아 기준)10명(영유아 기준)0세 ~ 6세<NA>
24YC2211012022-11-09 14:50:18.02024-04-23 09:17:54.0서울형 키즈카페 양천구 신정7동점(5색깔깔KIDS)1011서울형키즈카페11470양천구3140058신정7동126.8700337.509428102서울특별시 양천구 목동남로 106-23(신정동)2023-04-0102-2135-5946N월~토일, 공휴일(어린이날 제외), 근로자의 날20명(유아 기준)20명(유아 기준)0세 ~ 6세<NA>
25JR2208012022-08-23 09:56:36.02024-03-14 09:23:59.0서울형 키즈카페 중랑구 면목4동점(중랑 실내놀이터)1011서울형키즈카페11260중랑구3060042면목4동127.08464637.5725232255서울특별시 중랑구 용마산로 209공공기여시설1층 (면목동, 쌍용 더 플래티넘 용마산)2023-02-1502-2207-1123N화요일 ~ 일요일 10:00~17:30월요일, 법정공휴일(어린이날 제외), 근로자의 날, 그 밖에 센터장이 지정한 날, 월요일이 공휴일인 경우 그 다음날을 휴관일로 지정회차별 영유아50명회차별 영유아25명2세 ~ 6세<NA>
26JN2205012022-05-24 16:46:37.02024-02-24 15:46:06.0서울형 키즈카페 종로구 혜화동점(종로 혜명 아이들 상상놀이터)1011서울형키즈카페11110종로구3000054혜화동126.9988137.590483066서울특별시 종로구 성균관로 91올림픽기념국민생활관 2층 (혜화동)2023-05-0102-742-3320N화요일 ~ 일요일 (공휴일 제외)월요일, 국가공휴일, 근로자의 날30명20명4세 ~ 8세<NA>