Overview

Dataset statistics

Number of variables40
Number of observations100
Missing cells917
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory339.3 B

Variable types

Text13
Categorical7
Numeric13
Unsupported6
Boolean1

Alerts

kids_fclty_origin_nm has constant value ""Constant
kids_fclty_water_ply_fclty_at has constant value ""Constant
fclty_ty_nm is highly imbalanced (62.1%)Imbalance
fclty_tel_no has 66 (66.0%) missing valuesMissing
fclty_road_nm_addr has 43 (43.0%) missing valuesMissing
fclty_hmpg_url has 96 (96.0%) missing valuesMissing
kids_fclty_legaldong_cd has 100 (100.0%) missing valuesMissing
kids_fclty_tel_no has 71 (71.0%) missing valuesMissing
kids_fclty_buld_nm has 39 (39.0%) missing valuesMissing
kids_fclty_buld_manage_cd has 2 (2.0%) missing valuesMissing
kids_fclty_hmpg_url has 100 (100.0%) missing valuesMissing
kids_fclty_gid_cd has 100 (100.0%) missing valuesMissing
kids_fclty_pnu has 100 (100.0%) missing valuesMissing
kids_fclty_toilet_dc has 100 (100.0%) missing valuesMissing
kids_fclty_nrsgrm_at has 100 (100.0%) missing valuesMissing
esntl_id has unique valuesUnique
kids_fclty_legaldong_cd is an unsupported type, check if it needs cleaning or further analysisUnsupported
kids_fclty_hmpg_url is an unsupported type, check if it needs cleaning or further analysisUnsupported
kids_fclty_gid_cd is an unsupported type, check if it needs cleaning or further analysisUnsupported
kids_fclty_pnu is an unsupported type, check if it needs cleaning or further analysisUnsupported
kids_fclty_toilet_dc is an unsupported type, check if it needs cleaning or further analysisUnsupported
kids_fclty_nrsgrm_at is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:56:33.963872
Analysis finished2023-12-10 09:56:35.875577
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

esntl_id
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:36.124066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1900
Distinct characters17
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowKCGIKPO20N000000001
2nd rowKCGIKPO20N000010152
3rd rowKCGIKPO20N000000003
4th rowKCGIKPO20N000000004
5th rowKCGIKPO20N000000005
ValueCountFrequency (%)
kcgikpo20n000000001 1
 
1.0%
kcgikpo20n000000063 1
 
1.0%
kcgikpo20n000000074 1
 
1.0%
kcgikpo20n000000073 1
 
1.0%
kcgikpo20n000000072 1
 
1.0%
kcgikpo20n000000071 1
 
1.0%
kcgikpo20n000000070 1
 
1.0%
kcgikpo20n000000069 1
 
1.0%
kcgikpo20n000000068 1
 
1.0%
kcgikpo20n000000067 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:56:36.854232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 811
42.7%
K 200
 
10.5%
2 119
 
6.3%
O 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
I 100
 
5.3%
G 100
 
5.3%
1 27
 
1.4%
Other values (7) 143
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
57.9%
Uppercase Letter 800
42.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 811
73.7%
2 119
 
10.8%
1 27
 
2.5%
5 23
 
2.1%
4 21
 
1.9%
3 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
9 20
 
1.8%
8 19
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
K 200
25.0%
O 100
12.5%
C 100
12.5%
N 100
12.5%
P 100
12.5%
I 100
12.5%
G 100
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
57.9%
Latin 800
42.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 811
73.7%
2 119
 
10.8%
1 27
 
2.5%
5 23
 
2.1%
4 21
 
1.9%
3 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
9 20
 
1.8%
8 19
 
1.7%
Latin
ValueCountFrequency (%)
K 200
25.0%
O 100
12.5%
C 100
12.5%
N 100
12.5%
P 100
12.5%
I 100
12.5%
G 100
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 811
42.7%
K 200
 
10.5%
2 119
 
6.3%
O 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
I 100
 
5.3%
G 100
 
5.3%
1 27
 
1.4%
Other values (7) 143
 
7.5%

fclty_nm
Text

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:37.453306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length8.76
Min length3

Characters and Unicode

Total characters876
Distinct characters187
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

Unique64 ?
Unique (%)64.0%

Sample

1st row화성국민체육센터수영장
2nd row득량동 이동-S병원 고가교 밑 체육시설
3rd row국사봉체육관
4th row강촌공원축구장
5th row수정청소년수련관체육관
ValueCountFrequency (%)
체육시설 10
 
6.6%
부전초등학교 6
 
4.0%
부산진초등학교 6
 
4.0%
배드민턴장 6
 
4.0%
체육공원 5
 
3.3%
호미골 5
 
3.3%
게이트볼장 4
 
2.6%
수정청소년수련관체육관 2
 
1.3%
교각하부 2
 
1.3%
배티공원 2
 
1.3%
Other values (85) 103
68.2%
2023-12-10T18:56:38.558501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
5.8%
체 42
 
4.8%
육 42
 
4.8%
장 39
 
4.5%
원 37
 
4.2%
공 35
 
4.0%
교 22
 
2.5%
동 22
 
2.5%
시 22
 
2.5%
설 21
 
2.4%
Other values (177) 543
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 794
90.6%
Space Separator 51
 
5.8%
Decimal Number 10
 
1.1%
Uppercase Letter 6
 
0.7%
Open Punctuation 3
 
0.3%
Dash Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%
Math Symbol 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 42
 
5.3%
육 42
 
5.3%
장 39
 
4.9%
원 37
 
4.7%
공 35
 
4.4%
교 22
 
2.8%
동 22
 
2.8%
시 22
 
2.8%
설 21
 
2.6%
학 20
 
2.5%
Other values (160) 492
62.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
33.3%
C 1
16.7%
I 1
16.7%
G 1
16.7%
S 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
3 3
30.0%
4 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
m 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
？ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 794
90.6%
Common 73
 
8.3%
Latin 9
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 42
 
5.3%
육 42
 
5.3%
장 39
 
4.9%
원 37
 
4.7%
공 35
 
4.4%
교 22
 
2.8%
동 22
 
2.8%
시 22
 
2.8%
설 21
 
2.6%
학 20
 
2.5%
Other values (160) 492
62.0%
Common
ValueCountFrequency (%)
51
69.9%
1 6
 
8.2%
3 3
 
4.1%
( 3
 
4.1%
- 3
 
4.1%
) 3
 
4.1%
~ 2
 
2.7%
4 1
 
1.4%
？ 1
 
1.4%
Latin
ValueCountFrequency (%)
X 2
22.2%
C 1
11.1%
I 1
11.1%
e 1
11.1%
m 1
11.1%
a 1
11.1%
G 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 794
90.6%
ASCII 81
 
9.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
63.0%
1 6
 
7.4%
3 3
 
3.7%
( 3
 
3.7%
- 3
 
3.7%
) 3
 
3.7%
X 2
 
2.5%
~ 2
 
2.5%
C 1
 
1.2%
I 1
 
1.2%
Other values (6) 6
 
7.4%
Hangul
ValueCountFrequency (%)
체 42
 
5.3%
육 42
 
5.3%
장 39
 
4.9%
원 37
 
4.7%
공 35
 
4.4%
교 22
 
2.8%
동 22
 
2.8%
시 22
 
2.8%
설 21
 
2.6%
학 20
 
2.5%
Other values (160) 492
62.0%
None
ValueCountFrequency (%)
？ 1
100.0%

fclty_ty_nm
Categorical

IMBALANCE 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
간이운동장
81 
생활체육관
 
5
축구장
 
3
기타시설
 
3
수영장
 
2
Other values (5)
 
6

Length

Max length8
Median length5
Mean length4.84
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row수영장
2nd row간이운동장
3rd row구기체육관
4th row축구장
5th row생활체육관

Common Values

ValueCountFrequency (%)
간이운동장 81
81.0%
생활체육관 5
 
5.0%
축구장 3
 
3.0%
기타시설 3
 
3.0%
수영장 2
 
2.0%
테니스장 2
 
2.0%
구기체육관 1
 
1.0%
빙상장 1
 
1.0%
전천후게이트볼장 1
 
1.0%
씨름장 1
 
1.0%

Length

2023-12-10T18:56:38.881906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:56:39.259028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
간이운동장 81
81.0%
생활체육관 5
 
5.0%
축구장 3
 
3.0%
기타시설 3
 
3.0%
수영장 2
 
2.0%
테니스장 2
 
2.0%
구기체육관 1
 
1.0%
빙상장 1
 
1.0%
전천후게이트볼장 1
 
1.0%
씨름장 1
 
1.0%

fclty_ctprvn_cd
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.4
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:39.592907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q126
median30
Q341
95-th percentile45
Maximum50
Range39
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4452168
Coefficient of variation (CV)0.29151904
Kurtosis-0.27275027
Mean32.4
Median Absolute Deviation (MAD)4
Skewness-0.34273027
Sum3240
Variance89.212121
MonotonicityNot monotonic
2023-12-10T18:56:39.982839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
26 22
22.0%
41 15
15.0%
43 14
14.0%
31 11
11.0%
29 8
 
8.0%
27 8
 
8.0%
11 7
 
7.0%
28 5
 
5.0%
47 3
 
3.0%
42 2
 
2.0%
Other values (4) 5
 
5.0%
ValueCountFrequency (%)
11 7
 
7.0%
26 22
22.0%
27 8
 
8.0%
28 5
 
5.0%
29 8
 
8.0%
31 11
11.0%
36 1
 
1.0%
41 15
15.0%
42 2
 
2.0%
43 14
14.0%
ValueCountFrequency (%)
50 1
 
1.0%
47 3
 
3.0%
45 2
 
2.0%
44 1
 
1.0%
43 14
14.0%
42 2
 
2.0%
41 15
15.0%
36 1
 
1.0%
31 11
11.0%
29 8
8.0%

fclty_ctprvn_nm
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
부산광역시
22 
경기도
15 
충청북도
14 
울산광역시
11 
광주광역시
8 
Other values (9)
30 

Length

Max length7
Median length5
Mean length4.5
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row경기도
2nd row경상북도
3rd row서울특별시
4th row경기도
5th row경기도

Common Values

ValueCountFrequency (%)
부산광역시 22
22.0%
경기도 15
15.0%
충청북도 14
14.0%
울산광역시 11
11.0%
광주광역시 8
 
8.0%
대구광역시 8
 
8.0%
서울특별시 7
 
7.0%
인천광역시 5
 
5.0%
경상북도 3
 
3.0%
강원도 2
 
2.0%
Other values (4) 5
 
5.0%

Length

2023-12-10T18:56:40.366963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산광역시 22
22.0%
경기도 15
15.0%
충청북도 14
14.0%
울산광역시 11
11.0%
광주광역시 8
 
8.0%
대구광역시 8
 
8.0%
서울특별시 7
 
7.0%
인천광역시 5
 
5.0%
경상북도 3
 
3.0%
강원도 2
 
2.0%
Other values (4) 5
 
5.0%

fclty_signgu_cd
Real number (ℝ)

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32657.1
Minimum11500
Maximum50110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:40.815475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11500
5-th percentile11614
Q126252.5
median30155
Q341610
95-th percentile45191
Maximum50110
Range38610
Interquartile range (IQR)15357.5

Descriptive statistics

Standard deviation9410.4019
Coefficient of variation (CV)0.28815792
Kurtosis-0.34367587
Mean32657.1
Median Absolute Deviation (MAD)3925
Skewness-0.31557701
Sum3265710
Variance88555665
MonotonicityNot monotonic
2023-12-10T18:56:41.094826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
26230 18
18.0%
43110 12
 
12.0%
29200 7
 
7.0%
31170 7
 
7.0%
41610 5
 
5.0%
27140 5
 
5.0%
11500 5
 
5.0%
41130 3
 
3.0%
27200 3
 
3.0%
41450 3
 
3.0%
Other values (24) 32
32.0%
ValueCountFrequency (%)
11500 5
 
5.0%
11620 1
 
1.0%
11710 1
 
1.0%
26230 18
18.0%
26260 2
 
2.0%
26530 2
 
2.0%
27140 5
 
5.0%
27200 3
 
3.0%
28000 1
 
1.0%
28185 1
 
1.0%
ValueCountFrequency (%)
50110 1
 
1.0%
47190 2
 
2.0%
47110 1
 
1.0%
45210 1
 
1.0%
45190 1
 
1.0%
44200 1
 
1.0%
43745 2
 
2.0%
43110 12
12.0%
42190 2
 
2.0%
41610 5
5.0%

fclty_signgu_nm
Categorical

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
부산진구
18 
동구
12 
청주시
12 
광산구
7 
남구
6 
Other values (26)
45 

Length

Max length5
Median length3
Mean length2.99
Min length2

Unique

Unique15 ?
Unique (%)15.0%

Sample

1st row화성시
2nd row포항시
3rd row관악구
4th row고양시
5th row성남시

Common Values

ValueCountFrequency (%)
부산진구 18
18.0%
동구 12
12.0%
청주시 12
12.0%
광산구 7
 
7.0%
남구 6
 
6.0%
강서구 5
 
5.0%
광주시 5
 
5.0%
하남시 3
 
3.0%
성남시 3
 
3.0%
사상구 2
 
2.0%
Other values (21) 27
27.0%

Length

2023-12-10T18:56:41.408230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 18
18.0%
청주시 12
12.0%
동구 12
12.0%
광산구 7
 
7.0%
남구 6
 
6.0%
강서구 5
 
5.0%
광주시 5
 
5.0%
하남시 3
 
3.0%
성남시 3
 
3.0%
구미시 2
 
2.0%
Other values (21) 27
27.0%

fclty_manage_instt_nm
Categorical

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
63 
문화체육과
 
5
문화교육과
 
5
도시개발과
 
5
광남동주민센터
 
5
Other values (13)
17 

Length

Max length15
Median length4
Mean length4.88
Min length3

Unique

Unique10 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
63.0%
문화체육과 5
 
5.0%
문화교육과 5
 
5.0%
도시개발과 5
 
5.0%
광남동주민센터 5
 
5.0%
교육홍보과 3
 
3.0%
공원녹지과 2
 
2.0%
서원구청 농축산경제과 2
 
2.0%
공원과 1
 
1.0%
체육사업팀 1
 
1.0%
Other values (8) 8
 
8.0%

Length

2023-12-10T18:56:41.689483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 63
60.0%
문화교육과 5
 
4.8%
도시개발과 5
 
4.8%
광남동주민센터 5
 
4.8%
문화체육과 5
 
4.8%
교육홍보과 3
 
2.9%
공원녹지과 3
 
2.9%
서원구청 2
 
1.9%
농축산경제과 2
 
1.9%
체육진흥과 2
 
1.9%
Other values (10) 10
 
9.5%

fclty_tel_no
Text

MISSING 

Distinct19
Distinct (%)55.9%
Missing66
Missing (%)66.0%
Memory size932.0 B
2023-12-10T18:56:42.003259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique11 ?
Unique (%)32.4%

Sample

1st row054-270-2804
2nd row02-2081-2690
3rd row031-8075-2342
4th row031-725-9200
5th row031-725-9200
ValueCountFrequency (%)
043-201-2474 5
14.7%
031-760-4545 5
14.7%
053-664-3233 3
 
8.8%
032-450-5663 2
 
5.9%
031-725-9200 2
 
5.9%
031-790-5250 2
 
5.9%
043-201-6232 2
 
5.9%
043-201-5232 2
 
5.9%
032-749-8699 1
 
2.9%
043-835-4121 1
 
2.9%
Other values (9) 9
26.5%
2023-12-10T18:56:42.502439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 68
16.6%
- 68
16.6%
3 52
12.7%
2 51
12.5%
4 47
11.5%
5 30
7.3%
1 29
7.1%
7 23
 
5.6%
6 21
 
5.1%
9 13
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
19.9%
3 52
15.2%
2 51
15.0%
4 47
13.8%
5 30
8.8%
1 29
8.5%
7 23
 
6.7%
6 21
 
6.2%
9 13
 
3.8%
8 7
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
16.6%
- 68
16.6%
3 52
12.7%
2 51
12.5%
4 47
11.5%
5 30
7.3%
1 29
7.1%
7 23
 
5.6%
6 21
 
5.1%
9 13
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
16.6%
- 68
16.6%
3 52
12.7%
2 51
12.5%
4 47
11.5%
5 30
7.3%
1 29
7.1%
7 23
 
5.6%
6 21
 
5.1%
9 13
 
3.2%

fclty_road_nm_addr
Text

MISSING 

Distinct43
Distinct (%)75.4%
Missing43
Missing (%)43.0%
Memory size932.0 B
2023-12-10T18:56:43.213248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length24.807018
Min length10

Characters and Unicode

Total characters1414
Distinct characters157
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

Unique33 ?
Unique (%)57.9%

Sample

1st row봉담읍 동화길 18
2nd row경상북도 포항시 북구 득량길48번길 14-2 (득량동)
3rd row서울특별시 관악구 국회단지길 144 (봉천동)
4th row경기도 고양시 일산동구 강석로 132-1 (마두동)
5th row경기도 성남시 수정구 희망로509번길 20 (신흥동)
ValueCountFrequency (%)
충청북도 14
 
4.7%
경기도 14
 
4.7%
청주시 12
 
4.0%
대구광역시 8
 
2.7%
상당구 7
 
2.3%
남구 7
 
2.3%
광주시 5
 
1.7%
동구 5
 
1.7%
인천광역시 5
 
1.7%
금천동 5
 
1.7%
Other values (153) 218
72.7%
2023-12-10T18:56:44.155935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
17.3%
동 62
 
4.4%
시 54
 
3.8%
로 52
 
3.7%
구 49
 
3.5%
( 48
 
3.4%
) 48
 
3.4%
도 33
 
2.3%
1 29
 
2.1%
청 28
 
2.0%
Other values (147) 767
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
61.6%
Space Separator 244
 
17.3%
Decimal Number 190
 
13.4%
Open Punctuation 48
 
3.4%
Close Punctuation 48
 
3.4%
Dash Punctuation 8
 
0.6%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
7.1%
시 54
 
6.2%
로 52
 
6.0%
구 49
 
5.6%
도 33
 
3.8%
청 28
 
3.2%
광 28
 
3.2%
길 22
 
2.5%
역 21
 
2.4%
주 19
 
2.2%
Other values (132) 503
57.7%
Decimal Number
ValueCountFrequency (%)
1 29
15.3%
5 25
13.2%
2 24
12.6%
0 24
12.6%
3 23
12.1%
4 18
9.5%
8 15
7.9%
7 13
6.8%
6 11
 
5.8%
9 8
 
4.2%
Space Separator
ValueCountFrequency (%)
244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
61.6%
Common 543
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
7.1%
시 54
 
6.2%
로 52
 
6.0%
구 49
 
5.6%
도 33
 
3.8%
청 28
 
3.2%
광 28
 
3.2%
길 22
 
2.5%
역 21
 
2.4%
주 19
 
2.2%
Other values (132) 503
57.7%
Common
ValueCountFrequency (%)
244
44.9%
( 48
 
8.8%
) 48
 
8.8%
1 29
 
5.3%
5 25
 
4.6%
2 24
 
4.4%
0 24
 
4.4%
3 23
 
4.2%
4 18
 
3.3%
8 15
 
2.8%
Other values (5) 45
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
61.6%
ASCII 543
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
44.9%
( 48
 
8.8%
) 48
 
8.8%
1 29
 
5.3%
5 25
 
4.6%
2 24
 
4.4%
0 24
 
4.4%
3 23
 
4.2%
4 18
 
3.3%
8 15
 
2.8%
Other values (5) 45
 
8.3%
Hangul
ValueCountFrequency (%)
동 62
 
7.1%
시 54
 
6.2%
로 52
 
6.0%
구 49
 
5.6%
도 33
 
3.8%
청 28
 
3.2%
광 28
 
3.2%
길 22
 
2.5%
역 21
 
2.4%
주 19
 
2.2%
Other values (132) 503
57.7%

fclty_lo
Real number (ℝ)

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.98624
Minimum126.53564
Maximum129.44172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:44.556808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53564
5-th percentile126.73992
Q1127.01775
median127.51596
Q3129.05311
95-th percentile129.42357
Maximum129.44172
Range2.906078
Interquartile range (IQR)2.0353573

Descriptive statistics

Standard deviation1.0148082
Coefficient of variation (CV)0.0079290412
Kurtosis-1.7208918
Mean127.98624
Median Absolute Deviation (MAD)0.8035486
Skewness0.13987866
Sum12798.624
Variance1.0298356
MonotonicityNot monotonic
2023-12-10T18:56:44.943642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.055991 6
 
6.0%
129.053112 6
 
6.0%
127.5159618 5
 
5.0%
126.852772 3
 
3.0%
128.6364178 2
 
2.0%
129.432778 2
 
2.0%
127.1951183 2
 
2.0%
129.089852 2
 
2.0%
128.5750742 2
 
2.0%
128.421936 2
 
2.0%
Other values (61) 68
68.0%
ValueCountFrequency (%)
126.535644 1
1.0%
126.6779215 1
1.0%
126.6856062 1
1.0%
126.6958296 1
1.0%
126.7289968 1
1.0%
126.74049 1
1.0%
126.7810806 1
1.0%
126.800529 1
1.0%
126.806573 1
1.0%
126.812593 2
2.0%
ValueCountFrequency (%)
129.441722 1
1.0%
129.432778 2
2.0%
129.424236 2
2.0%
129.423536 2
2.0%
129.3828959 2
2.0%
129.352019 1
1.0%
129.3471052 1
1.0%
129.3362057 1
1.0%
129.089852 2
2.0%
129.081044 1
1.0%

fclty_la
Real number (ℝ)

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.185201
Minimum33.513919
Maximum37.653332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:45.823142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.513919
5-th percentile35.150256
Q135.190298
median35.883775
Q337.318477
95-th percentile37.566372
Maximum37.653332
Range4.1394134
Interquartile range (IQR)2.1281788

Descriptive statistics

Standard deviation0.98052991
Coefficient of variation (CV)0.027097539
Kurtosis-1.1649568
Mean36.185201
Median Absolute Deviation (MAD)0.7335187
Skewness0.088170964
Sum3618.5201
Variance0.96143891
MonotonicityNot monotonic
2023-12-10T18:56:46.163418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.150256 6
 
6.0%
35.154951 6
 
6.0%
36.631304 5
 
5.0%
35.213181 3
 
3.0%
35.8837747 2
 
2.0%
35.541701 2
 
2.0%
37.5669983 2
 
2.0%
35.213137 2
 
2.0%
35.8559457 2
 
2.0%
36.156024 2
 
2.0%
Other values (61) 68
68.0%
ValueCountFrequency (%)
33.513919 1
 
1.0%
35.1321361 1
 
1.0%
35.1406738 1
 
1.0%
35.149377 1
 
1.0%
35.150256 6
6.0%
35.150296 1
 
1.0%
35.154524 1
 
1.0%
35.154951 6
6.0%
35.158575 1
 
1.0%
35.163279 1
 
1.0%
ValueCountFrequency (%)
37.6533324 1
1.0%
37.579408 2
2.0%
37.5669983 2
2.0%
37.566339 1
1.0%
37.5662372 1
1.0%
37.563555 1
1.0%
37.553772 1
1.0%
37.551616 1
1.0%
37.5450444 1
1.0%
37.5376315 1
1.0%

fclty_hmpg_url
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing96
Missing (%)96.0%
Memory size932.0 B
2023-12-10T18:56:46.588999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25.5
Mean length21.5
Min length11

Characters and Unicode

Total characters86
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowhttps://jangan.suwon.go.kr/
2nd rowhttps://hanamsport.or.kr
3rd rowhttps://hanamsport.or.kr
4th rowIcmha.or.kr
ValueCountFrequency (%)
https://hanamsport.or.kr 2
50.0%
https://jangan.suwon.go.kr 1
25.0%
icmha.or.kr 1
25.0%
2023-12-10T18:56:47.221282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9
10.5%
r 9
10.5%
t 8
9.3%
o 7
8.1%
a 7
8.1%
/ 7
8.1%
h 6
 
7.0%
s 6
 
7.0%
n 5
 
5.8%
p 5
 
5.8%
Other values (9) 17
19.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 66
76.7%
Other Punctuation 19
 
22.1%
Uppercase Letter 1
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 9
13.6%
t 8
12.1%
o 7
10.6%
a 7
10.6%
h 6
9.1%
s 6
9.1%
n 5
7.6%
p 5
7.6%
k 4
6.1%
m 3
 
4.5%
Other values (5) 6
9.1%
Other Punctuation
ValueCountFrequency (%)
. 9
47.4%
/ 7
36.8%
: 3
 
15.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67
77.9%
Common 19
 
22.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 9
13.4%
t 8
11.9%
o 7
10.4%
a 7
10.4%
h 6
9.0%
s 6
9.0%
n 5
7.5%
p 5
7.5%
k 4
6.0%
m 3
 
4.5%
Other values (6) 7
10.4%
Common
ValueCountFrequency (%)
. 9
47.4%
/ 7
36.8%
: 3
 
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9
10.5%
r 9
10.5%
t 8
9.3%
o 7
8.1%
a 7
8.1%
/ 7
8.1%
h 6
 
7.0%
s 6
 
7.0%
n 5
 
5.8%
p 5
 
5.8%
Other values (9) 17
19.8%

kids_fclty_nm
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:47.641901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length11.12
Min length3

Characters and Unicode

Total characters1112
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)48.0%

Sample

1st row점플린 정글
2nd row마법의성 놀이터
3rd row릴리펏실내놀이터
4th row콩순이놀이터 일산장항점
5th row플레이타임 이마트성남점(대규모점포)
ValueCountFrequency (%)
정글짐 11
 
5.3%
키즈카페 9
 
4.3%
놀이시설 7
 
3.3%
챔피언 7
 
3.3%
어린이놀이시설 5
 
2.4%
실내놀이터 5
 
2.4%
플레이키즈 5
 
2.4%
킹콩점프 4
 
1.9%
홈플러스 4
 
1.9%
롯데마트 4
 
1.9%
Other values (106) 148
70.8%
2023-12-10T18:56:48.407689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
9.8%
이 69
 
6.2%
점 51
 
4.6%
키 34
 
3.1%
놀 34
 
3.1%
즈 32
 
2.9%
시 25
 
2.2%
플 24
 
2.2%
설 20
 
1.8%
레 19
 
1.7%
Other values (187) 695
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 958
86.2%
Space Separator 109
 
9.8%
Uppercase Letter 12
 
1.1%
Dash Punctuation 11
 
1.0%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%
Decimal Number 3
 
0.3%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 69
 
7.2%
점 51
 
5.3%
키 34
 
3.5%
놀 34
 
3.5%
즈 32
 
3.3%
시 25
 
2.6%
플 24
 
2.5%
설 20
 
2.1%
레 19
 
2.0%
내 19
 
2.0%
Other values (168) 631
65.9%
Uppercase Letter
ValueCountFrequency (%)
P 2
16.7%
S 2
16.7%
J 2
16.7%
W 1
8.3%
E 1
8.3%
V 1
8.3%
A 1
8.3%
N 1
8.3%
C 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
y 1
33.3%
k 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 958
86.2%
Common 139
 
12.5%
Latin 15
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 69
 
7.2%
점 51
 
5.3%
키 34
 
3.5%
놀 34
 
3.5%
즈 32
 
3.3%
시 25
 
2.6%
플 24
 
2.5%
설 20
 
2.1%
레 19
 
2.0%
내 19
 
2.0%
Other values (168) 631
65.9%
Latin
ValueCountFrequency (%)
P 2
13.3%
S 2
13.3%
J 2
13.3%
W 1
6.7%
E 1
6.7%
V 1
6.7%
A 1
6.7%
N 1
6.7%
C 1
6.7%
s 1
6.7%
Other values (2) 2
13.3%
Common
ValueCountFrequency (%)
109
78.4%
- 11
 
7.9%
( 7
 
5.0%
) 7
 
5.0%
2 2
 
1.4%
& 2
 
1.4%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 958
86.2%
ASCII 154
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
70.8%
- 11
 
7.1%
( 7
 
4.5%
) 7
 
4.5%
2 2
 
1.3%
P 2
 
1.3%
S 2
 
1.3%
& 2
 
1.3%
J 2
 
1.3%
W 1
 
0.6%
Other values (9) 9
 
5.8%
Hangul
ValueCountFrequency (%)
이 69
 
7.2%
점 51
 
5.3%
키 34
 
3.5%
놀 34
 
3.5%
즈 32
 
3.3%
시 25
 
2.6%
플 24
 
2.5%
설 20
 
2.1%
레 19
 
2.0%
내 19
 
2.0%
Other values (168) 631
65.9%

kids_fclty_ctprvn_cd
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.4
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:48.622613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q126
median30
Q341
95-th percentile45
Maximum50
Range39
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4452168
Coefficient of variation (CV)0.29151904
Kurtosis-0.27275027
Mean32.4
Median Absolute Deviation (MAD)4
Skewness-0.34273027
Sum3240
Variance89.212121
MonotonicityNot monotonic
2023-12-10T18:56:48.849933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
26 22
22.0%
41 15
15.0%
43 14
14.0%
31 11
11.0%
29 8
 
8.0%
27 8
 
8.0%
11 7
 
7.0%
28 5
 
5.0%
47 3
 
3.0%
42 2
 
2.0%
Other values (4) 5
 
5.0%
ValueCountFrequency (%)
11 7
 
7.0%
26 22
22.0%
27 8
 
8.0%
28 5
 
5.0%
29 8
 
8.0%
31 11
11.0%
36 1
 
1.0%
41 15
15.0%
42 2
 
2.0%
43 14
14.0%
ValueCountFrequency (%)
50 1
 
1.0%
47 3
 
3.0%
45 2
 
2.0%
44 1
 
1.0%
43 14
14.0%
42 2
 
2.0%
41 15
15.0%
36 1
 
1.0%
31 11
11.0%
29 8
8.0%

kids_fclty_ctprvn_nm
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
부산광역시
22 
경기도
15 
충청북도
14 
울산광역시
11 
광주광역시
8 
Other values (9)
30 

Length

Max length7
Median length5
Mean length4.5
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row경기도
2nd row경상북도
3rd row서울특별시
4th row경기도
5th row경기도

Common Values

ValueCountFrequency (%)
부산광역시 22
22.0%
경기도 15
15.0%
충청북도 14
14.0%
울산광역시 11
11.0%
광주광역시 8
 
8.0%
대구광역시 8
 
8.0%
서울특별시 7
 
7.0%
인천광역시 5
 
5.0%
경상북도 3
 
3.0%
강원도 2
 
2.0%
Other values (4) 5
 
5.0%

Length

2023-12-10T18:56:49.217099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산광역시 22
22.0%
경기도 15
15.0%
충청북도 14
14.0%
울산광역시 11
11.0%
광주광역시 8
 
8.0%
대구광역시 8
 
8.0%
서울특별시 7
 
7.0%
인천광역시 5
 
5.0%
경상북도 3
 
3.0%
강원도 2
 
2.0%
Other values (4) 5
 
5.0%

kids_fclty_signgu_cd
Real number (ℝ)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32662.36
Minimum11500
Maximum50110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:49.718710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11500
5-th percentile11614
Q126290
median30155
Q341610
95-th percentile45191
Maximum50110
Range38610
Interquartile range (IQR)15320

Descriptive statistics

Standard deviation9407.6695
Coefficient of variation (CV)0.28802786
Kurtosis-0.34145499
Mean32662.36
Median Absolute Deviation (MAD)3925
Skewness-0.3164933
Sum3266236
Variance88504246
MonotonicityNot monotonic
2023-12-10T18:56:50.062351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
26230 15
 
15.0%
43111 7
 
7.0%
29200 7
 
7.0%
31170 7
 
7.0%
11500 5
 
5.0%
41610 5
 
5.0%
27140 4
 
4.0%
43113 3
 
3.0%
41450 3
 
3.0%
27200 3
 
3.0%
Other values (32) 41
41.0%
ValueCountFrequency (%)
11500 5
 
5.0%
11620 1
 
1.0%
11740 1
 
1.0%
26230 15
15.0%
26260 2
 
2.0%
26290 2
 
2.0%
26320 1
 
1.0%
26470 1
 
1.0%
26530 1
 
1.0%
27140 4
 
4.0%
ValueCountFrequency (%)
50110 1
 
1.0%
47190 2
 
2.0%
47111 1
 
1.0%
45210 1
 
1.0%
45190 1
 
1.0%
44200 1
 
1.0%
43745 2
 
2.0%
43113 3
3.0%
43112 2
 
2.0%
43111 7
7.0%

kids_fclty_signgu_nm
Categorical

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
부산진구
15 
동구
12 
광산구
7 
남구
7 
청주시 상당구
7 
Other values (31)
52 

Length

Max length8
Median length7
Mean length3.65
Min length2

Unique

Unique19 ?
Unique (%)19.0%

Sample

1st row화성시
2nd row포항시 남구
3rd row관악구
4th row고양시 일산동구
5th row성남시 수정구

Common Values

ValueCountFrequency (%)
부산진구 15
15.0%
동구 12
 
12.0%
광산구 7
 
7.0%
남구 7
 
7.0%
청주시 상당구 7
 
7.0%
광주시 5
 
5.0%
강서구 5
 
5.0%
청주시 흥덕구 3
 
3.0%
하남시 3
 
3.0%
북구 3
 
3.0%
Other values (26) 33
33.0%

Length

2023-12-10T18:56:50.366981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산진구 15
 
12.7%
청주시 12
 
10.2%
동구 12
 
10.2%
남구 8
 
6.8%
광산구 7
 
5.9%
상당구 7
 
5.9%
광주시 5
 
4.2%
강서구 5
 
4.2%
흥덕구 3
 
2.5%
하남시 3
 
2.5%
Other values (30) 41
34.7%

kids_fclty_legaldong_cd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_legaldong_nm
Text

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:50.905573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.31
Min length3

Characters and Unicode

Total characters331
Distinct characters84
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

Unique32 ?
Unique (%)32.0%

Sample

1st row봉담읍
2nd row대잠동
3rd row봉천동
4th row장항동
5th row태평동
ValueCountFrequency (%)
부전동 8
 
7.5%
동부동 6
 
5.6%
금천동 5
 
4.7%
장지동 5
 
4.7%
부암동 3
 
2.8%
만수리 3
 
2.8%
쌍암동 3
 
2.8%
오송읍 3
 
2.8%
신천동 3
 
2.8%
대명동 3
 
2.8%
Other values (48) 65
60.7%
2023-12-10T18:56:51.687120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 99
29.9%
부 17
 
5.1%
천 12
 
3.6%
암 12
 
3.6%
전 11
 
3.3%
장 8
 
2.4%
7
 
2.1%
신 7
 
2.1%
리 7
 
2.1%
지 7
 
2.1%
Other values (74) 144
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
97.6%
Space Separator 7
 
2.1%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 99
30.7%
부 17
 
5.3%
천 12
 
3.7%
암 12
 
3.7%
전 11
 
3.4%
장 8
 
2.5%
신 7
 
2.2%
리 7
 
2.2%
지 7
 
2.2%
산 6
 
1.9%
Other values (72) 137
42.4%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
97.6%
Common 8
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 99
30.7%
부 17
 
5.3%
천 12
 
3.7%
암 12
 
3.7%
전 11
 
3.4%
장 8
 
2.5%
신 7
 
2.2%
리 7
 
2.2%
지 7
 
2.2%
산 6
 
1.9%
Other values (72) 137
42.4%
Common
ValueCountFrequency (%)
7
87.5%
4 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
97.6%
ASCII 8
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 99
30.7%
부 17
 
5.3%
천 12
 
3.7%
암 12
 
3.7%
전 11
 
3.4%
장 8
 
2.5%
신 7
 
2.2%
리 7
 
2.2%
지 7
 
2.2%
산 6
 
1.9%
Other values (72) 137
42.4%
ASCII
ValueCountFrequency (%)
7
87.5%
4 1
 
12.5%

kids_fclty_road_nm_cd
Real number (ℝ)

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2662692 × 1011
Minimum1.1500312 × 1011
Maximum5.0110335 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:51.982760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1500312 × 1011
5-th percentile1.1614306 × 1011
Q12.6290201 × 1011
median3.0155373 × 1011
Q34.1610443 × 1011
95-th percentile4.5191455 × 1011
Maximum5.0110335 × 1011
Range3.8610023 × 1011
Interquartile range (IQR)1.5320243 × 1011

Descriptive statistics

Standard deviation9.4076998 × 1010
Coefficient of variation (CV)0.28802586
Kurtosis-0.34147808
Mean3.2662692 × 1011
Median Absolute Deviation (MAD)3.9251723 × 1010
Skewness-0.31648548
Sum3.2662692 × 1013
Variance8.8504816 × 1021
MonotonicityNot monotonic
2023-12-10T18:56:52.323002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262302006015 6
 
6.0%
431113236035 5
 
5.0%
416104433473 4
 
4.0%
292004289600 3
 
3.0%
271403007004 3
 
3.0%
311704313012 3
 
3.0%
311703171014 3
 
3.0%
262302129001 3
 
3.0%
431133240059 3
 
3.0%
262902006005 2
 
2.0%
Other values (51) 65
65.0%
ValueCountFrequency (%)
115003115008 2
 
2.0%
115004145404 1
 
1.0%
115004145422 2
 
2.0%
116203005080 1
 
1.0%
117402000008 1
 
1.0%
262302000010 2
 
2.0%
262302006015 6
6.0%
262302129001 3
3.0%
262303129010 2
 
2.0%
262304187684 2
 
2.0%
ValueCountFrequency (%)
501103349055 1
 
1.0%
471904854635 2
2.0%
471113303025 1
 
1.0%
452103272085 1
 
1.0%
451904613268 1
 
1.0%
442003253009 1
 
1.0%
437454532193 2
2.0%
431133240059 3
3.0%
431123236025 2
2.0%
431113236057 2
2.0%

kids_fclty_adstrd_cd
Real number (ℝ)

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2662482 × 109
Minimum1.1500101 × 109
Maximum5.0110102 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:52.667778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1500101 × 109
5-th percentile1.1614101 × 109
Q12.6290109 × 109
median3.0155114 × 109
Q34.1610111 × 109
95-th percentile4.519111 × 109
Maximum5.0110102 × 109
Range3.8610001 × 109
Interquartile range (IQR)1.5320002 × 109

Descriptive statistics

Standard deviation9.4076885 × 108
Coefficient of variation (CV)0.28802736
Kurtosis-0.34146001
Mean3.2662482 × 109
Median Absolute Deviation (MAD)3.925011 × 108
Skewness-0.31648883
Sum3.2662482 × 1011
Variance8.8504602 × 1017
MonotonicityNot monotonic
2023-12-10T18:56:53.018648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2623010300 8
 
8.0%
3117010700 6
 
6.0%
4161011100 5
 
5.0%
4311112000 5
 
5.0%
2920011600 3
 
3.0%
4311325025 3
 
3.0%
2623010800 3
 
3.0%
2720010300 3
 
3.0%
2714010200 3
 
3.0%
4145010900 3
 
3.0%
Other values (45) 58
58.0%
ValueCountFrequency (%)
1150010100 2
 
2.0%
1150010500 1
 
1.0%
1150010900 2
 
2.0%
1162010100 1
 
1.0%
1174010900 1
 
1.0%
2623010200 2
 
2.0%
2623010300 8
8.0%
2623010800 3
 
3.0%
2623011000 2
 
2.0%
2626010800 2
 
2.0%
ValueCountFrequency (%)
5011010200 1
 
1.0%
4719035025 2
2.0%
4711111600 1
 
1.0%
4521010100 1
 
1.0%
4519011100 1
 
1.0%
4420011100 1
 
1.0%
4374525030 2
2.0%
4311325025 3
3.0%
4311210200 2
2.0%
4311112400 2
2.0%

kids_fclty_road_nm_addr
Text

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:53.513031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length17.8
Min length11

Characters and Unicode

Total characters1780
Distinct characters144
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

Unique42 ?
Unique (%)42.0%

Sample

1st row경기도 화성시 봉담읍 동화길 89
2nd row경북 포항시 남구 시청로 8
3rd row서울 관악구 양녕로 46
4th row경기도 고양시 일산동구 호수로 596 (장항동)
5th row경기도 성남시 수정구 수정로 201 (태평동, 신세계쉐덴)
ValueCountFrequency (%)
부산 22
 
4.9%
경기도 15
 
3.4%
부산진구 15
 
3.4%
충북 14
 
3.1%
동구 12
 
2.7%
청주시 12
 
2.7%
울산 11
 
2.5%
대구 8
 
1.8%
광주 8
 
1.8%
남구 8
 
1.8%
Other values (178) 320
71.9%
2023-12-10T18:56:54.541332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
 
19.4%
구 92
 
5.2%
로 90
 
5.1%
1 68
 
3.8%
산 62
 
3.5%
동 47
 
2.6%
대 42
 
2.4%
7 40
 
2.2%
시 39
 
2.2%
부 39
 
2.2%
Other values (134) 916
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
60.0%
Space Separator 345
 
19.4%
Decimal Number 324
 
18.2%
Open Punctuation 17
 
1.0%
Close Punctuation 17
 
1.0%
Dash Punctuation 6
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 92
 
8.6%
로 90
 
8.4%
산 62
 
5.8%
동 47
 
4.4%
대 42
 
3.9%
시 39
 
3.7%
부 39
 
3.7%
길 31
 
2.9%
주 27
 
2.5%
북 22
 
2.1%
Other values (119) 577
54.0%
Decimal Number
ValueCountFrequency (%)
1 68
21.0%
7 40
12.3%
3 35
10.8%
5 35
10.8%
2 34
10.5%
0 30
9.3%
4 27
 
8.3%
6 24
 
7.4%
9 18
 
5.6%
8 13
 
4.0%
Space Separator
ValueCountFrequency (%)
345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
60.0%
Common 712
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 92
 
8.6%
로 90
 
8.4%
산 62
 
5.8%
동 47
 
4.4%
대 42
 
3.9%
시 39
 
3.7%
부 39
 
3.7%
길 31
 
2.9%
주 27
 
2.5%
북 22
 
2.1%
Other values (119) 577
54.0%
Common
ValueCountFrequency (%)
345
48.5%
1 68
 
9.6%
7 40
 
5.6%
3 35
 
4.9%
5 35
 
4.9%
2 34
 
4.8%
0 30
 
4.2%
4 27
 
3.8%
6 24
 
3.4%
9 18
 
2.5%
Other values (5) 56
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
60.0%
ASCII 712
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
48.5%
1 68
 
9.6%
7 40
 
5.6%
3 35
 
4.9%
5 35
 
4.9%
2 34
 
4.8%
0 30
 
4.2%
4 27
 
3.8%
6 24
 
3.4%
9 18
 
2.5%
Other values (5) 56
 
7.9%
Hangul
ValueCountFrequency (%)
구 92
 
8.6%
로 90
 
8.4%
산 62
 
5.8%
동 47
 
4.4%
대 42
 
3.9%
시 39
 
3.7%
부 39
 
3.7%
길 31
 
2.9%
주 27
 
2.5%
북 22
 
2.1%
Other values (119) 577
54.0%

kids_fclty_lnm_addr
Text

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:55.242379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length17.75
Min length13

Characters and Unicode

Total characters1775
Distinct characters160
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

Unique44 ?
Unique (%)44.0%

Sample

1st row경기도 화성시 봉담읍 동화리 599-3
2nd row경북 포항시 남구 대잠동 1002
3rd row서울 관악구 봉천동 463-4
4th row경기도 고양시 일산동구 장항동 869 엠비씨드림센터
5th row경기도 성남시 수정구 태평동 7336 신세계쉐덴
ValueCountFrequency (%)
부산 22
 
5.0%
경기도 15
 
3.4%
부산진구 15
 
3.4%
충북 14
 
3.2%
청주시 12
 
2.7%
동구 12
 
2.7%
울산 11
 
2.5%
남구 8
 
1.8%
광주 8
 
1.8%
대구 8
 
1.8%
Other values (183) 319
71.8%
2023-12-10T18:56:56.212688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
19.4%
동 117
 
6.6%
구 90
 
5.1%
2 70
 
3.9%
산 69
 
3.9%
1 62
 
3.5%
- 57
 
3.2%
부 54
 
3.0%
5 44
 
2.5%
시 37
 
2.1%
Other values (150) 831
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 980
55.2%
Decimal Number 394
22.2%
Space Separator 344
 
19.4%
Dash Punctuation 57
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 117
 
11.9%
구 90
 
9.2%
산 69
 
7.0%
부 54
 
5.5%
시 37
 
3.8%
주 27
 
2.8%
북 22
 
2.2%
도 20
 
2.0%
광 20
 
2.0%
남 19
 
1.9%
Other values (138) 505
51.5%
Decimal Number
ValueCountFrequency (%)
2 70
17.8%
1 62
15.7%
5 44
11.2%
4 37
9.4%
3 36
9.1%
7 36
9.1%
6 33
8.4%
8 31
7.9%
9 24
 
6.1%
0 21
 
5.3%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 980
55.2%
Common 795
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 117
 
11.9%
구 90
 
9.2%
산 69
 
7.0%
부 54
 
5.5%
시 37
 
3.8%
주 27
 
2.8%
북 22
 
2.2%
도 20
 
2.0%
광 20
 
2.0%
남 19
 
1.9%
Other values (138) 505
51.5%
Common
ValueCountFrequency (%)
344
43.3%
2 70
 
8.8%
1 62
 
7.8%
- 57
 
7.2%
5 44
 
5.5%
4 37
 
4.7%
3 36
 
4.5%
7 36
 
4.5%
6 33
 
4.2%
8 31
 
3.9%
Other values (2) 45
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 980
55.2%
ASCII 795
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
43.3%
2 70
 
8.8%
1 62
 
7.8%
- 57
 
7.2%
5 44
 
5.5%
4 37
 
4.7%
3 36
 
4.5%
7 36
 
4.5%
6 33
 
4.2%
8 31
 
3.9%
Other values (2) 45
 
5.7%
Hangul
ValueCountFrequency (%)
동 117
 
11.9%
구 90
 
9.2%
산 69
 
7.0%
부 54
 
5.5%
시 37
 
3.8%
주 27
 
2.8%
북 22
 
2.2%
도 20
 
2.0%
광 20
 
2.0%
남 19
 
1.9%
Other values (138) 505
51.5%

kids_fclty_eng_addr
Text

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:56:56.710019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length60
Mean length44.35
Min length26

Characters and Unicode

Total characters4435
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)42.0%

Sample

1st row89, Donghwa-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do
2nd row8, Sicheong-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do
3rd row46, Yangnyeong-ro, Gwanak-gu, Seoul
4th row596, Hosu-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do
5th row201, Sujeong-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do
ValueCountFrequency (%)
busan 22
 
4.8%
busanjin-gu 15
 
3.3%
gyeonggi-do 15
 
3.3%
chungcheongbuk-do 14
 
3.1%
cheongju-si 12
 
2.6%
dong-gu 12
 
2.6%
ulsan 11
 
2.4%
nam-gu 8
 
1.7%
gwangju 8
 
1.7%
daegu 8
 
1.7%
Other values (181) 334
72.8%
2023-12-10T18:56:57.478203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 415
 
9.4%
g 397
 
9.0%
359
 
8.1%
o 343
 
7.7%
, 325
 
7.3%
- 291
 
6.6%
a 269
 
6.1%
u 259
 
5.8%
e 230
 
5.2%
s 124
 
2.8%
Other values (41) 1423
32.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2811
63.4%
Space Separator 359
 
8.1%
Other Punctuation 325
 
7.3%
Uppercase Letter 325
 
7.3%
Decimal Number 324
 
7.3%
Dash Punctuation 291
 
6.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 415
14.8%
g 397
14.1%
o 343
12.2%
a 269
9.6%
u 259
9.2%
e 230
8.2%
s 124
 
4.4%
i 118
 
4.2%
d 96
 
3.4%
r 93
 
3.3%
Other values (11) 467
16.6%
Uppercase Letter
ValueCountFrequency (%)
G 64
19.7%
B 46
14.2%
S 45
13.8%
D 34
10.5%
C 33
10.2%
J 26
8.0%
N 14
 
4.3%
U 11
 
3.4%
Y 10
 
3.1%
O 10
 
3.1%
Other values (7) 32
9.8%
Decimal Number
ValueCountFrequency (%)
1 66
20.4%
7 40
12.3%
3 37
11.4%
5 35
10.8%
2 33
10.2%
0 29
9.0%
4 27
8.3%
6 25
 
7.7%
9 18
 
5.6%
8 14
 
4.3%
Space Separator
ValueCountFrequency (%)
359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3136
70.7%
Common 1299
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 415
13.2%
g 397
12.7%
o 343
10.9%
a 269
 
8.6%
u 259
 
8.3%
e 230
 
7.3%
s 124
 
4.0%
i 118
 
3.8%
d 96
 
3.1%
r 93
 
3.0%
Other values (28) 792
25.3%
Common
ValueCountFrequency (%)
359
27.6%
, 325
25.0%
- 291
22.4%
1 66
 
5.1%
7 40
 
3.1%
3 37
 
2.8%
5 35
 
2.7%
2 33
 
2.5%
0 29
 
2.2%
4 27
 
2.1%
Other values (3) 57
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 415
 
9.4%
g 397
 
9.0%
359
 
8.1%
o 343
 
7.7%
, 325
 
7.3%
- 291
 
6.6%
a 269
 
6.1%
u 259
 
5.8%
e 230
 
5.2%
s 124
 
2.8%
Other values (41) 1423
32.1%

kids_fclty_tel_no
Text

MISSING 

Distinct19
Distinct (%)65.5%
Missing71
Missing (%)71.0%
Memory size932.0 B
2023-12-10T18:56:57.896129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters349
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

Unique14 ?
Unique (%)48.3%

Sample

1st row031-278-3088
2nd row052-916-0388
3rd row052-948-7277
4th row052-948-7277
5th row052-948-7277
ValueCountFrequency (%)
043-224-1877 5
17.2%
052-948-7277 3
 
10.3%
043-238-2008 3
 
10.3%
033-552-3698 2
 
6.9%
051-810-3050 2
 
6.9%
031-795-3580 1
 
3.4%
031-278-3088 1
 
3.4%
051-311-0970 1
 
3.4%
053-430-2390 1
 
3.4%
053-430-2233 1
 
3.4%
Other values (9) 9
31.0%
2023-12-10T18:56:58.537603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.6%
0 57
16.3%
3 39
11.2%
2 39
11.2%
4 28
8.0%
8 27
7.7%
7 27
7.7%
5 26
7.4%
1 22
 
6.3%
9 15
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
19.6%
3 39
13.4%
2 39
13.4%
4 28
9.6%
8 27
9.3%
7 27
9.3%
5 26
8.9%
1 22
 
7.6%
9 15
 
5.2%
6 11
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.6%
0 57
16.3%
3 39
11.2%
2 39
11.2%
4 28
8.0%
8 27
7.7%
7 27
7.7%
5 26
7.4%
1 22
 
6.3%
9 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.6%
0 57
16.3%
3 39
11.2%
2 39
11.2%
4 28
8.0%
8 27
7.7%
7 27
7.7%
5 26
7.4%
1 22
 
6.3%
9 15
 
4.3%

kids_fclty_zip_no
Real number (ℝ)

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35269.99
Minimum5328
Maximum63253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:56:58.891793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5328
5-th percentile7604.5
Q122166.5
median41239.5
Q347285
95-th percentile62280.95
Maximum63253
Range57925
Interquartile range (IQR)25118.5

Descriptive statistics

Standard deviation16258.96
Coefficient of variation (CV)0.46098566
Kurtosis-1.0032954
Mean35269.99
Median Absolute Deviation (MAD)12512.5
Skewness-0.19893453
Sum3526999
Variance2.6435377 × 108
MonotonicityNot monotonic
2023-12-10T18:56:59.233261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28727 5
 
5.0%
12780 4
 
4.0%
47285 4
 
4.0%
62279 3
 
3.0%
12913 3
 
3.0%
44000 3
 
3.0%
44006 3
 
3.0%
47187 3
 
3.0%
28166 3
 
3.0%
47296 2
 
2.0%
Other values (52) 67
67.0%
ValueCountFrequency (%)
5328 1
 
1.0%
7545 2
2.0%
7593 1
 
1.0%
7595 1
 
1.0%
7605 1
 
1.0%
8747 1
 
1.0%
10403 1
 
1.0%
12777 1
 
1.0%
12780 4
4.0%
12913 3
3.0%
ValueCountFrequency (%)
63253 1
 
1.0%
62388 1
 
1.0%
62331 1
 
1.0%
62318 2
2.0%
62279 3
3.0%
61480 1
 
1.0%
55740 1
 
1.0%
54394 1
 
1.0%
48400 2
2.0%
47710 2
2.0%

kids_fclty_buld_nm
Text

MISSING 

Distinct41
Distinct (%)67.2%
Missing39
Missing (%)39.0%
Memory size932.0 B
2023-12-10T18:56:59.762722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.1147541
Min length4

Characters and Unicode

Total characters373
Distinct characters118
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

Unique28 ?
Unique (%)45.9%

Sample

1st row메카플러스
2nd row엠비씨드림센터
3rd row신세계쉐덴
4th row성원빌딩
5th row동일하이빌아파트
ValueCountFrequency (%)
kb국민은행 5
 
6.6%
상가 4
 
5.3%
야스텍타워 3
 
3.9%
롯데키즈마트 3
 
3.9%
목화아파트 3
 
3.9%
청송빌딩 3
 
3.9%
성산타워플러스 2
 
2.6%
skhubsky 2
 
2.6%
중앙하이츠 2
 
2.6%
현대코아 2
 
2.6%
Other values (42) 47
61.8%
2023-12-10T18:57:00.491726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
4.0%
트 14
 
3.8%
스 14
 
3.8%
빌 12
 
3.2%
딩 10
 
2.7%
타 9
 
2.4%
K 9
 
2.4%
아 8
 
2.1%
러 8
 
2.1%
플 8
 
2.1%
Other values (108) 266
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
88.2%
Uppercase Letter 28
 
7.5%
Space Separator 15
 
4.0%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 14
 
4.3%
스 14
 
4.3%
빌 12
 
3.6%
딩 10
 
3.0%
타 9
 
2.7%
아 8
 
2.4%
러 8
 
2.4%
플 8
 
2.4%
파 7
 
2.1%
워 7
 
2.1%
Other values (98) 232
70.5%
Uppercase Letter
ValueCountFrequency (%)
K 9
32.1%
B 7
25.0%
S 4
14.3%
H 2
 
7.1%
U 2
 
7.1%
Y 2
 
7.1%
N 1
 
3.6%
C 1
 
3.6%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
88.2%
Latin 28
 
7.5%
Common 16
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 14
 
4.3%
스 14
 
4.3%
빌 12
 
3.6%
딩 10
 
3.0%
타 9
 
2.7%
아 8
 
2.4%
러 8
 
2.4%
플 8
 
2.4%
파 7
 
2.1%
워 7
 
2.1%
Other values (98) 232
70.5%
Latin
ValueCountFrequency (%)
K 9
32.1%
B 7
25.0%
S 4
14.3%
H 2
 
7.1%
U 2
 
7.1%
Y 2
 
7.1%
N 1
 
3.6%
C 1
 
3.6%
Common
ValueCountFrequency (%)
15
93.8%
2 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
88.2%
ASCII 44
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
34.1%
K 9
20.5%
B 7
15.9%
S 4
 
9.1%
H 2
 
4.5%
U 2
 
4.5%
Y 2
 
4.5%
N 1
 
2.3%
C 1
 
2.3%
2 1
 
2.3%
Hangul
ValueCountFrequency (%)
트 14
 
4.3%
스 14
 
4.3%
빌 12
 
3.6%
딩 10
 
3.0%
타 9
 
2.7%
아 8
 
2.4%
러 8
 
2.4%
플 8
 
2.4%
파 7
 
2.1%
워 7
 
2.1%
Other values (98) 232
70.5%

kids_fclty_buld_manage_cd
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)64.3%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.2711775 × 1024
Minimum1.1500101 × 1024
Maximum5.0110102 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:00.825468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1500101 × 1024
5-th percentile1.1602102 × 1024
Q12.6290109 × 1024
median2.9200123 × 1024
Q34.1610111 × 1024
95-th percentile4.519311 × 1024
Maximum5.0110102 × 1024
Range3.8610001 × 1024
Interquartile range (IQR)1.5320002 × 1024

Descriptive statistics

Standard deviation9.5224592 × 1023
Coefficient of variation (CV)0.29110188
Kurtosis-0.39770213
Mean3.2711775 × 1024
Median Absolute Deviation (MAD)2.9700195 × 1023
Skewness-0.31980048
Sum3.205754 × 1026
Variance9.0677229 × 1047
MonotonicityNot monotonic
2023-12-10T18:57:01.190009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3111120001022703e+24 5
 
5.0%
4.16101110010688e+24 4
 
4.0%
2.62301030010503e+24 4
 
4.0%
2.6230108001024e+24 3
 
3.0%
4.3710256251051697e+24 3
 
3.0%
2.92001160010694e+24 3
 
3.0%
3.11701070020147e+24 3
 
3.0%
3.11701070010273e+24 3
 
3.0%
2.62301030010227e+24 2
 
2.0%
2.62901090011227e+24 2
 
2.0%
Other values (53) 66
66.0%
ValueCountFrequency (%)
1.15001010010242e+24 2
2.0%
1.15001050010348e+24 1
 
1.0%
1.15001090010168e+24 1
 
1.0%
1.15001090010282e+24 1
 
1.0%
1.16201010010463e+24 1
 
1.0%
1.17401090010455e+24 1
 
1.0%
2.62301020010668e+24 2
2.0%
2.62301030010227e+24 2
2.0%
2.62301030010503e+24 4
4.0%
2.62301030010537e+24 2
2.0%
ValueCountFrequency (%)
5.01101020010357e+24 1
 
1.0%
4.7190350251e+24 2
2.0%
4.7111116001099905e+24 1
 
1.0%
4.52101010010052e+24 1
 
1.0%
4.5190111001028096e+24 1
 
1.0%
4.4200111001044e+24 1
 
1.0%
4.3745250301056493e+24 2
2.0%
4.3710256251051697e+24 3
3.0%
4.3113102001026093e+24 2
2.0%
4.31111240012534e+24 2
2.0%

kids_fclty_hmpg_url
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_gid_cd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_la
Real number (ℝ)

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.185087
Minimum33.507953
Maximum37.654798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:01.514774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.507953
5-th percentile35.150994
Q135.192081
median35.87841
Q337.316496
95-th percentile37.56598
Maximum37.654798
Range4.1468446
Interquartile range (IQR)2.1244143

Descriptive statistics

Standard deviation0.97981886
Coefficient of variation (CV)0.027077974
Kurtosis-1.1590016
Mean36.185087
Median Absolute Deviation (MAD)0.7271256
Skewness0.088092454
Sum3618.5087
Variance0.960045
MonotonicityNot monotonic
2023-12-10T18:57:01.808582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.6293334 5
 
5.0%
37.392702 4
 
4.0%
35.1566424 4
 
4.0%
36.6305371 3
 
3.0%
35.5443847 3
 
3.0%
35.5428037 3
 
3.0%
35.1632783 3
 
3.0%
35.214339 3
 
3.0%
35.1482777 2
 
2.0%
37.5550229 2
 
2.0%
Other values (55) 68
68.0%
ValueCountFrequency (%)
33.5079532 1
 
1.0%
35.1275737 1
 
1.0%
35.1482777 2
2.0%
35.1487763 1
 
1.0%
35.1511107 1
 
1.0%
35.1514578 2
2.0%
35.1524466 2
2.0%
35.1530121 2
2.0%
35.1566424 4
4.0%
35.1570461 2
2.0%
ValueCountFrequency (%)
37.6547978 1
1.0%
37.573164 1
1.0%
37.5730558 1
1.0%
37.5686165 1
1.0%
37.56598 2
2.0%
37.5656277 1
1.0%
37.5615407 1
1.0%
37.5550229 2
2.0%
37.5471418 1
1.0%
37.5390262 1
1.0%

kids_fclty_lo
Real number (ℝ)

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.98663
Minimum126.54061
Maximum129.43656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:02.567817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54061
5-th percentile126.73969
Q1127.0184
median127.50777
Q3129.056
95-th percentile129.4256
Maximum129.43656
Range2.895954
Interquartile range (IQR)2.0376031

Descriptive statistics

Standard deviation1.0150038
Coefficient of variation (CV)0.0079305457
Kurtosis-1.7232446
Mean127.98663
Median Absolute Deviation (MAD)0.7914235
Skewness0.14046123
Sum12798.663
Variance1.0302327
MonotonicityNot monotonic
2023-12-10T18:57:02.950795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5052847 5
 
5.0%
127.2329143 4
 
4.0%
129.0560022 4
 
4.0%
127.3303107 3
 
3.0%
129.425599 3
 
3.0%
129.4264538 3
 
3.0%
129.0493102 3
 
3.0%
126.8520491 3
 
3.0%
129.0654371 2
 
2.0%
126.867675 2
 
2.0%
Other values (55) 68
68.0%
ValueCountFrequency (%)
126.5406056 1
1.0%
126.6759805 1
1.0%
126.6939383 1
1.0%
126.6948651 1
1.0%
126.7378243 1
1.0%
126.7397843 1
1.0%
126.7708414 1
1.0%
126.7927447 1
1.0%
126.8053926 1
1.0%
126.8158206 1
1.0%
ValueCountFrequency (%)
129.4365596 1
 
1.0%
129.4264538 3
3.0%
129.425599 3
3.0%
129.3801714 2
2.0%
129.3564495 1
 
1.0%
129.3413547 1
 
1.0%
129.3346715 1
 
1.0%
129.0855679 2
2.0%
129.0849354 1
 
1.0%
129.0654371 2
2.0%

kids_fclty_pnu
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_toilet_dc
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_nrsgrm_at
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

kids_fclty_origin_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
문화정보원
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화정보원 100
100.0%

Length

2023-12-10T18:57:03.338075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:03.618201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화정보원 100
100.0%

kids_fclty_water_ply_fclty_at
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T18:57:03.768971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

kids_fclty_adit_dc
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:57:04.187715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length142
Mean length95.9
Min length90

Characters and Unicode

Total characters9590
Distinct characters84
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

Unique48 ?
Unique (%)48.0%

Sample

1st row설치일자: 2009-01-16,시설분류: 놀이제공영업소,안전검사: 미검사,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개
2nd row설치일자: 2011-06-08,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 미가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개
3rd row설치일자: 2015-01-10,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 기타 1개,충격흡수용표면재(고무바닥재) 1개
4th row설치일자: 2018-12-09,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(기타바닥재) 1개
5th row설치일자: 2011-01-31,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개
ValueCountFrequency (%)
설치일자 100
10.9%
놀이제공영업소,안전검사 100
10.9%
1개 99
10.8%
검사완료,안전교육 96
10.5%
이수,보험가입 95
10.4%
가입,놀이기구 94
10.3%
1개,충격흡수용표면재(고무바닥재 57
 
6.2%
폐쇄형놀이기구 51
 
5.6%
조합놀이대 36
 
3.9%
1개,충격흡수용표면재(기타바닥재 36
 
3.9%
Other values (90) 153
16.7%
2023-12-10T18:57:05.133990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
817
 
8.5%
, 617
 
6.4%
: 600
 
6.3%
1 403
 
4.2%
이 400
 
4.2%
놀 297
 
3.1%
0 243
 
2.5%
개 217
 
2.3%
기 209
 
2.2%
재 204
 
2.1%
Other values (74) 5583
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6133
64.0%
Other Punctuation 1217
 
12.7%
Decimal Number 1017
 
10.6%
Space Separator 817
 
8.5%
Dash Punctuation 200
 
2.1%
Open Punctuation 103
 
1.1%
Close Punctuation 103
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 400
 
6.5%
놀 297
 
4.8%
개 217
 
3.5%
기 209
 
3.4%
재 204
 
3.3%
수 203
 
3.3%
설 203
 
3.3%
안 200
 
3.3%
전 200
 
3.3%
검 200
 
3.3%
Other values (58) 3800
62.0%
Decimal Number
ValueCountFrequency (%)
1 403
39.6%
0 243
23.9%
2 171
16.8%
6 37
 
3.6%
5 35
 
3.4%
8 33
 
3.2%
9 31
 
3.0%
4 26
 
2.6%
7 22
 
2.2%
3 16
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 617
50.7%
: 600
49.3%
Space Separator
ValueCountFrequency (%)
817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6133
64.0%
Common 3457
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 400
 
6.5%
놀 297
 
4.8%
개 217
 
3.5%
기 209
 
3.4%
재 204
 
3.3%
수 203
 
3.3%
설 203
 
3.3%
안 200
 
3.3%
전 200
 
3.3%
검 200
 
3.3%
Other values (58) 3800
62.0%
Common
ValueCountFrequency (%)
817
23.6%
, 617
17.8%
: 600
17.4%
1 403
11.7%
0 243
 
7.0%
- 200
 
5.8%
2 171
 
4.9%
( 103
 
3.0%
) 103
 
3.0%
6 37
 
1.1%
Other values (6) 163
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6133
64.0%
ASCII 3457
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
817
23.6%
, 617
17.8%
: 600
17.4%
1 403
11.7%
0 243
 
7.0%
- 200
 
5.8%
2 171
 
4.9%
( 103
 
3.0%
) 103
 
3.0%
6 37
 
1.1%
Other values (6) 163
 
4.7%
Hangul
ValueCountFrequency (%)
이 400
 
6.5%
놀 297
 
4.8%
개 217
 
3.5%
기 209
 
3.4%
재 204
 
3.3%
수 203
 
3.3%
설 203
 
3.3%
안 200
 
3.3%
전 200
 
3.3%
검 200
 
3.3%
Other values (58) 3800
62.0%

fclty_kwa_dstnc_km_value
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6783894
Minimum0.14454
Maximum0.99589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:05.576964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14454
5-th percentile0.2696385
Q10.4884475
median0.72786
Q30.8900025
95-th percentile0.98431
Maximum0.99589
Range0.85135
Interquartile range (IQR)0.401555

Descriptive statistics

Standard deviation0.24876616
Coefficient of variation (CV)0.36670114
Kurtosis-0.92729411
Mean0.6783894
Median Absolute Deviation (MAD)0.204755
Skewness-0.49436217
Sum67.83894
Variance0.061884605
MonotonicityNot monotonic
2023-12-10T18:57:06.070772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.97764 5
 
5.0%
0.14454 3
 
3.0%
0.28081 2
 
2.0%
0.98431 2
 
2.0%
0.71014 2
 
2.0%
0.32313 2
 
2.0%
0.88054 2
 
2.0%
0.43024 2
 
2.0%
0.63255 1
 
1.0%
0.58103 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.14454 3
3.0%
0.18401 1
 
1.0%
0.21584 1
 
1.0%
0.27247 1
 
1.0%
0.27909 1
 
1.0%
0.28081 2
2.0%
0.30394 1
 
1.0%
0.31362 1
 
1.0%
0.32181 1
 
1.0%
0.32313 2
2.0%
ValueCountFrequency (%)
0.99589 1
 
1.0%
0.99339 1
 
1.0%
0.99142 1
 
1.0%
0.98835 1
 
1.0%
0.98431 2
 
2.0%
0.97923 1
 
1.0%
0.97764 5
5.0%
0.95841 1
 
1.0%
0.9563 1
 
1.0%
0.94574 1
 
1.0%

Sample

esntl_idfclty_nmfclty_ty_nmfclty_ctprvn_cdfclty_ctprvn_nmfclty_signgu_cdfclty_signgu_nmfclty_manage_instt_nmfclty_tel_nofclty_road_nm_addrfclty_lofclty_lafclty_hmpg_urlkids_fclty_nmkids_fclty_ctprvn_cdkids_fclty_ctprvn_nmkids_fclty_signgu_cdkids_fclty_signgu_nmkids_fclty_legaldong_cdkids_fclty_legaldong_nmkids_fclty_road_nm_cdkids_fclty_adstrd_cdkids_fclty_road_nm_addrkids_fclty_lnm_addrkids_fclty_eng_addrkids_fclty_tel_nokids_fclty_zip_nokids_fclty_buld_nmkids_fclty_buld_manage_cdkids_fclty_hmpg_urlkids_fclty_gid_cdkids_fclty_lakids_fclty_lokids_fclty_pnukids_fclty_toilet_dckids_fclty_nrsgrm_atkids_fclty_origin_nmkids_fclty_water_ply_fclty_atkids_fclty_adit_dcfclty_kwa_dstnc_km_value
0KCGIKPO20N000000001화성국민체육센터수영장수영장41경기도41590화성시<NA><NA>봉담읍 동화길 18126.95173237.220674<NA>점플린 정글41경기도41590화성시<NA>봉담읍4159044303294159025324경기도 화성시 봉담읍 동화길 89경기도 화성시 봉담읍 동화리 599-389, Donghwa-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do031-278-308818302<NA>4159025324105990003000001<NA><NA>37.216716126.958623<NA><NA><NA>문화정보원N설치일자: 2009-01-16,시설분류: 놀이제공영업소,안전검사: 미검사,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.75235
1KCGIKPO20N000010152득량동 이동-S병원 고가교 밑 체육시설간이운동장47경상북도47110포항시새마을체육산업과054-270-2804경상북도 포항시 북구 득량길48번길 14-2 (득량동)129.34710536.024811<NA>마법의성 놀이터47경상북도47111포항시 남구<NA>대잠동4711133030254711111600경북 포항시 남구 시청로 8경북 포항시 남구 대잠동 10028, Sicheong-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do<NA>37684<NA>4711111600109990003116324<NA><NA>36.018605129.341355<NA><NA><NA>문화정보원N설치일자: 2011-06-08,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 미가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.86235
2KCGIKPO20N000000003국사봉체육관구기체육관11서울특별시11620관악구체육사업팀02-2081-2690서울특별시 관악구 국회단지길 144 (봉천동)126.9414337.491879<NA>릴리펏실내놀이터11서울특별시11620관악구<NA>봉천동1162030050801162010100서울 관악구 양녕로 46서울 관악구 봉천동 463-446, Yangnyeong-ro, Gwanak-gu, Seoul<NA>8747메카플러스1162010100104630004040695<NA><NA>37.486154126.947357<NA><NA><NA>문화정보원N설치일자: 2015-01-10,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 기타 1개,충격흡수용표면재(고무바닥재) 1개0.82379
3KCGIKPO20N000000004강촌공원축구장축구장41경기도41280고양시체육진흥과031-8075-2342경기도 고양시 일산동구 강석로 132-1 (마두동)126.78108137.653332<NA>콩순이놀이터 일산장항점41경기도41285고양시 일산동구<NA>장항동4128531920964128510400경기도 고양시 일산동구 호수로 596 (장항동)경기도 고양시 일산동구 장항동 869 엠비씨드림센터596, Hosu-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do<NA>10403엠비씨드림센터4128510400108690000002832<NA><NA>37.654798126.770841<NA><NA><NA>문화정보원N설치일자: 2018-12-09,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(기타바닥재) 1개0.91602
4KCGIKPO20N000000005수정청소년수련관체육관생활체육관41경기도41130성남시<NA>031-725-9200경기도 성남시 수정구 희망로509번길 20 (신흥동)127.15018637.449303<NA>플레이타임 이마트성남점(대규모점포)41경기도41131성남시 수정구<NA>태평동4113131780184113110200경기도 성남시 수정구 수정로 201 (태평동, 신세계쉐덴)경기도 성남시 수정구 태평동 7336 신세계쉐덴201, Sujeong-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do<NA>13281신세계쉐덴4113110200173360000000001<NA><NA>37.444273127.141399<NA><NA><NA>문화정보원N설치일자: 2011-01-31,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개0.9563
5KCGIKPO20N000000006수정청소년수련관체육관생활체육관41경기도41130성남시<NA>031-725-9200경기도 성남시 수정구 희망로509번길 20 (신흥동)127.15018637.449303<NA>조이방방 놀이시설41경기도41131성남시 수정구<NA>신흥동4113131780334113110100경기도 성남시 수정구 시민로 172 (신흥동)경기도 성남시 수정구 신흥동 3436-17 성원빌딩172, Simin-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do<NA>13346성원빌딩4113110100134360017016434<NA><NA>37.443528127.142992<NA><NA><NA>문화정보원N설치일자: 2016-11-30,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개0.90308
6KCGIKPO20N000000007이순신빙상？체육관빙상장44충청남도44200아산시<NA><NA>충청남도 아산시 남부로 370-42 (풍기동)127.02446236.769527<NA>하인츠 키즈카페44충청남도44200아산시<NA>풍기동4420032530094420011100충청남도 아산시 남부로 353 (풍기동, 동일하이빌아파트)충청남도 아산시 풍기동 440 동일하이빌아파트353, Nambu-ro, Asan-si, Chungcheongnam-do<NA>31579동일하이빌아파트4420011100104400000033302<NA><NA>36.77408127.021599<NA><NA><NA>문화정보원N설치일자: 2017-11-09,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(기타바닥재) 1개0.56688
7KCGIKPO20N000010153만석공원 X-게임장기타시설41경기도41110수원시공원관리과<NA>경기도 수원시 장안구 만석로177번길 34 (송죽동)126.99763137.303684https://jangan.suwon.go.kr/타요키즈카페 홈플러스 북수원점41경기도41111수원시 장안구<NA>조원동4111120120084111113600경기도 수원시 장안구 경수대로 930 (조원동)경기도 수원시 장안구 조원동 896 삼성홈플러스930, Gyeongsu-daero, Jangan-gu, Suwon-si, Gyeonggi-do<NA>16295삼성홈플러스4111113600108960000047669<NA><NA>37.302726127.008798<NA><NA><NA>문화정보원N설치일자: 2018-12-27,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개0.99339
8KCGIKPO20N000000009종합운동장테니스장테니스장41경기도41450하남시문화체육과031-790-6144경기도 하남시 아리수로 600 (망월동)127.19602237.566339<NA>시크릿쥬쥬&또봇 미사신도시 정글짐41경기도41450하남시<NA>망월동4145048532654145010900경기도 하남시 미사강변중앙로204번길 45 (망월동)경기도 하남시 망월동 1089 성산타워플러스45, Misagangbyeonjungang-ro 204beon-gil, Hanam-si, Gyeonggi-do<NA>12913성산타워플러스4145010900110890000000001<NA><NA>37.56598127.190394<NA><NA><NA>문화정보원N설치일자: 2018-05-10,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 미이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.49763
9KCGIKPO20N000000010첨단생활체육공원간이운동장29광주광역시29200광산구<NA><NA><NA>126.85277235.213181<NA>플레이원-폐쇄형놀이기구29광주광역시29200광산구<NA>쌍암동2920042896002920011600광주 광산구 첨단강변로87번길 5광주 광산구 쌍암동 694-1425, Cheomdangangbyeon-ro 87beon-gil, Gwangsan-gu, Gwangju<NA>62279야스텍타워2920011600106940142000001<NA><NA>35.214339126.852049<NA><NA><NA>문화정보원N설치일자: 2019-06-05,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 2개,충격흡수용표면재(기타바닥재) 1개0.14454
esntl_idfclty_nmfclty_ty_nmfclty_ctprvn_cdfclty_ctprvn_nmfclty_signgu_cdfclty_signgu_nmfclty_manage_instt_nmfclty_tel_nofclty_road_nm_addrfclty_lofclty_lafclty_hmpg_urlkids_fclty_nmkids_fclty_ctprvn_cdkids_fclty_ctprvn_nmkids_fclty_signgu_cdkids_fclty_signgu_nmkids_fclty_legaldong_cdkids_fclty_legaldong_nmkids_fclty_road_nm_cdkids_fclty_adstrd_cdkids_fclty_road_nm_addrkids_fclty_lnm_addrkids_fclty_eng_addrkids_fclty_tel_nokids_fclty_zip_nokids_fclty_buld_nmkids_fclty_buld_manage_cdkids_fclty_hmpg_urlkids_fclty_gid_cdkids_fclty_lakids_fclty_lokids_fclty_pnukids_fclty_toilet_dckids_fclty_nrsgrm_atkids_fclty_origin_nmkids_fclty_water_ply_fclty_atkids_fclty_adit_dcfclty_kwa_dstnc_km_value
90KCGIKPO20N000000091불로동141번지 체육시설간이운동장27대구광역시27140동구문화교육과<NA>대구광역시 동구 팔공로25길 40 (불로동)128.63659435.910857<NA>꼼지락27대구광역시27230북구<NA>검단동2723031450042723011300대구 북구 검단로 255대구 북구 검단동 1128-3255, Geomdan-ro, Buk-gu, Daegu<NA>41511민들레아파트2723011300111280003005264<NA><NA>35.91595128.629095<NA><NA><NA>문화정보원N설치일자: 2020-09-02,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 미이수,보험가입: 미가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(기타바닥재) 1개0.88142
91KCGIKPO20N000000092대학공원 배드민턴장기타시설28인천광역시28185연수구연수구청 공원녹지과032-749-8699인천광역시 연수구 함박뫼로 160 (연수동)126.68560637.42022<NA>리틀비틀 연수점28인천광역시28185연수구<NA>연수동2818531520212818510300인천 연수구 원인재로 310인천 연수구 연수동 532310, Woninjae-ro, Yeonsu-gu, Incheon<NA>21937경남아파트 상가2818510300105320000081531<NA><NA>37.420797126.694865<NA><NA><NA>문화정보원N설치일자: 2017-12-27,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.82018
92KCGIKPO20N000000093엄궁유수지 체육시설간이운동장26부산광역시26530사상구<NA><NA>부산광역시 사상구 강변대로532번길 71 (감전동)128.96982735.132136<NA>챔피언 롯데마트 사상점26부산광역시26530사상구<NA>엄궁동2653020060022653010800부산 사상구 낙동대로 733부산 사상구 엄궁동 690733, Nakdong-daero, Sasang-gu, Busan051-311-097047032롯데마트 사상점2653010800103570005008020<NA><NA>35.127574128.968414<NA><NA><NA>문화정보원N설치일자: 2016-03-16,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(기타바닥재) 1개0.52334
93KCGIKPO20N000000094아남프라자 아파트간이운동장29광주광역시29155남구<NA><NA>광주광역시 남구 제중로 93 (서동, 아남프라자 아파트)126.91001135.140674<NA>NC WAVE 충장점 플레이타임29광주광역시29110동구<NA>충장로4가2911031620732911013000광주 동구 중앙로 161-1광주 동구 충장로4가 29-2163, Jungang-ro, Dong-gu, Gwangju<NA>61480NC 웨이브 충장점2911013000100290002003156<NA><NA>35.148776126.913079<NA><NA><NA>문화정보원N설치일자: 2017-10-20,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개0.94314
94KCGIKPO20N000000095서운근린공원 풋살장기타시설28인천광역시28245계양구공원녹지과032-450-5663인천광역시 계양구 효서로 397 (작전동)126.7404937.527778<NA>뛰뛰방방28인천광역시28245계양구<NA>작전동2824531550282824510300인천 계양구 오조산로 3인천 계양구 작전동 911-63, Ojosan-ro, Gyeyang-gu, Incheon032-505-509021080한미리빌딩2824510300109110006184205<NA><NA>37.531209126.737824<NA><NA><NA>문화정보원N설치일자: 2015-05-07,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(고무바닥재) 1개0.44808
95KCGIKPO20N000000096증평인삼씨름훈련장씨름장43충청북도43745증평군문화체육과043-835-4121충청북도 증평군 증평읍 인삼로 23-1127.57180636.787454<NA>키즈마루 증평점43충청북도43745증평군<NA>증평읍 초중리4374545321934374525030충북 증평군 증평읍 초중9길 37충북 증평군 증평읍 초중리 565-1637, Chojung 9-gil, Jeungpyeong-eup, Jeungpyeong-gun, Chungcheongbuk-do<NA>27940<NA>4374525030105650016000001<NA><NA>36.780467127.572656<NA><NA><NA>문화정보원N설치일자: 2017-05-20,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(기타바닥재) 1개0.78056
96KCGIKPO20N000000097증평 풋살경기장축구장43충청북도43745증평군<NA><NA>충청북도 증평군 증평읍 인삼로 23127.57281236.787326<NA>키즈마루 증평점43충청북도43745증평군<NA>증평읍 초중리4374545321934374525030충북 증평군 증평읍 초중9길 37충북 증평군 증평읍 초중리 565-1637, Chojung 9-gil, Jeungpyeong-eup, Jeungpyeong-gun, Chungcheongbuk-do<NA>27940<NA>4374525030105650016000001<NA><NA>36.780467127.572656<NA><NA><NA>문화정보원N설치일자: 2017-05-20,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(기타바닥재) 1개0.76285
97KCGIKPO20N000000098문학박태환수영장수영장28인천광역시28000인천광역시체육진흥과 체육시설마케팅팀032-440-4325인천광역시 남구 매소홀로 618 (문학동)126.6958337.434266Icmha.or.kr이레키즈카페28인천광역시28177미추홀구<NA>관교동2817742530042817710600인천 미추홀구 경원대로652번길 19-15인천 미추홀구 관교동 394-919-15, Gyeongwon-daero 652beon-gil, Michuhol-gu, Incheon<NA>22243관교동 이레유치원2817010800103940009082334<NA><NA>37.442086126.693938<NA><NA><NA>문화정보원N설치일자: 2019-10-08,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 미이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.88544
98KCGIKPO20N000000099중대 테니스장테니스장41경기도41610광주시광남동주민센터031-760-4545경기도 광주시 순암로 175 (중대동)127.23084137.396492<NA>킹콩점프 정글짐41경기도41610광주시<NA>장지동4161044334734161011100경기도 광주시 태봉로1번길 13 (장지동)경기도 광주시 장지동 688-213, Taebong-ro 1beon-gil, Gwangju-si, Gyeonggi-do<NA>12780<NA>4161011100106880002011968<NA><NA>37.392702127.232914<NA><NA><NA>문화정보원N설치일자: 2020-04-01,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 폐쇄형놀이기구 1개,충격흡수용표면재(기타바닥재) 1개0.45951
99KCGIKPO20N000000100계산체육공원축구장28인천광역시28245계양구공원녹지과032-450-5663인천광역시 계양구 주부토로 570 (계산동)126.72899737.545044<NA>꾸러기점핑내 실내놀이터28인천광역시28245계양구<NA>임학동2824542651002824510500인천 계양구 계양산로216번길 3인천 계양구 임학동 6-53, Gyeyangsan-ro 216beon-gil, Gyeyang-gu, Incheon<NA>21034<NA>2824510500100060005105188<NA><NA>37.547142126.739784<NA><NA><NA>문화정보원N설치일자: 2016-05-27,시설분류: 놀이제공영업소,안전검사: 검사완료,안전교육: 이수,보험가입: 가입,놀이기구: 조합놀이대 1개,충격흡수용표면재(고무바닥재) 1개0.97923