Overview

Dataset statistics

Number of variables22
Number of observations462
Missing cells4028
Missing cells (%)39.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.5 KiB
Average record size in memory187.3 B

Variable types

Categorical5
Text5
DateTime2
Unsupported3
Numeric6
Boolean1

Alerts

문화체육업종명 has constant value ""Constant
보험가입여부코드 has constant value ""Constant
영업상태구분코드 is highly imbalanced (60.3%)Imbalance
회원모집총인원 is highly imbalanced (62.4%)Imbalance
인허가취소일자 has 462 (100.0%) missing valuesMissing
폐업일자 has 326 (70.6%) missing valuesMissing
소재지시설전화번호 has 400 (86.6%) missing valuesMissing
소재지면적정보 has 462 (100.0%) missing valuesMissing
도로명우편번호 has 387 (83.8%) missing valuesMissing
소재지도로명주소 has 50 (10.8%) missing valuesMissing
WGS84위도 has 22 (4.8%) missing valuesMissing
WGS84경도 has 22 (4.8%) missing valuesMissing
업태구분명정보 has 462 (100.0%) missing valuesMissing
X좌표값 has 385 (83.3%) missing valuesMissing
Y좌표값 has 385 (83.3%) missing valuesMissing
보험가입여부코드 has 424 (91.8%) missing valuesMissing
지도자수 has 239 (51.7%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지도자수 has 24 (5.2%) zerosZeros

Reproduction

Analysis started2023-12-10 22:05:45.067144
Analysis finished2023-12-10 22:05:45.672893
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
용인시
53 
고양시
46 
수원시
34 
화성시
28 
파주시
 
23
Other values (26)
278 

Length

Max length4
Median length3
Mean length3.0757576
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 53
 
11.5%
고양시 46
 
10.0%
수원시 34
 
7.4%
화성시 28
 
6.1%
파주시 23
 
5.0%
성남시 22
 
4.8%
양주시 21
 
4.5%
남양주시 19
 
4.1%
부천시 18
 
3.9%
포천시 16
 
3.5%
Other values (21) 182
39.4%

Length

2023-12-11T07:05:45.725239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 53
 
11.5%
고양시 46
 
10.0%
수원시 34
 
7.4%
화성시 28
 
6.1%
파주시 23
 
5.0%
성남시 22
 
4.8%
양주시 21
 
4.5%
남양주시 19
 
4.1%
부천시 18
 
3.9%
포천시 16
 
3.5%
Other values (21) 182
39.4%

사업장명
Text

Distinct407
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T07:05:45.913604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length8.7813853
Min length2

Characters and Unicode

Total characters4057
Distinct characters387
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)77.9%

Sample

1st row자라섬야외수영장
2nd row켄싱턴리조트 청평야외수영장
3rd row야외수영장
4th row자라섬야외수영장
5th row클럽인너
ValueCountFrequency (%)
수영장 54
 
7.6%
주식회사 18
 
2.5%
서울랜드 12
 
1.7%
야외수영장 12
 
1.7%
스포츠센터 7
 
1.0%
키즈 7
 
1.0%
어린이 7
 
1.0%
양평지점 4
 
0.6%
아이풀 4
 
0.6%
아이푸른 4
 
0.6%
Other values (488) 579
81.8%
2023-12-11T07:05:46.231128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
6.1%
수 214
 
5.3%
장 196
 
4.8%
영 193
 
4.8%
스 168
 
4.1%
포 93
 
2.3%
이 91
 
2.2%
아 78
 
1.9%
터 68
 
1.7%
츠 68
 
1.7%
Other values (377) 2642
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3524
86.9%
Space Separator 246
 
6.1%
Uppercase Letter 86
 
2.1%
Lowercase Letter 72
 
1.8%
Close Punctuation 53
 
1.3%
Open Punctuation 52
 
1.3%
Other Punctuation 11
 
0.3%
Decimal Number 10
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 214
 
6.1%
장 196
 
5.6%
영 193
 
5.5%
스 168
 
4.8%
포 93
 
2.6%
이 91
 
2.6%
아 78
 
2.2%
터 68
 
1.9%
츠 68
 
1.9%
센 67
 
1.9%
Other values (325) 2288
64.9%
Uppercase Letter
ValueCountFrequency (%)
S 11
12.8%
C 10
11.6%
Y 7
 
8.1%
P 7
 
8.1%
M 7
 
8.1%
K 7
 
8.1%
A 6
 
7.0%
D 5
 
5.8%
G 4
 
4.7%
I 3
 
3.5%
Other values (10) 19
22.1%
Lowercase Letter
ValueCountFrequency (%)
o 11
15.3%
e 9
12.5%
n 8
11.1%
a 7
9.7%
l 6
8.3%
r 5
6.9%
i 5
6.9%
m 4
 
5.6%
p 4
 
5.6%
t 3
 
4.2%
Other values (8) 10
13.9%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
8 2
20.0%
5 1
 
10.0%
6 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 7
63.6%
. 2
 
18.2%
: 1
 
9.1%
＆ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3524
86.9%
Common 375
 
9.2%
Latin 158
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 214
 
6.1%
장 196
 
5.6%
영 193
 
5.5%
스 168
 
4.8%
포 93
 
2.6%
이 91
 
2.6%
아 78
 
2.2%
터 68
 
1.9%
츠 68
 
1.9%
센 67
 
1.9%
Other values (325) 2288
64.9%
Latin
ValueCountFrequency (%)
o 11
 
7.0%
S 11
 
7.0%
C 10
 
6.3%
e 9
 
5.7%
n 8
 
5.1%
Y 7
 
4.4%
P 7
 
4.4%
M 7
 
4.4%
a 7
 
4.4%
K 7
 
4.4%
Other values (28) 74
46.8%
Common
ValueCountFrequency (%)
246
65.6%
) 53
 
14.1%
( 52
 
13.9%
& 7
 
1.9%
- 3
 
0.8%
2 3
 
0.8%
1 2
 
0.5%
8 2
 
0.5%
. 2
 
0.5%
: 1
 
0.3%
Other values (4) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3524
86.9%
ASCII 532
 
13.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
46.2%
) 53
 
10.0%
( 52
 
9.8%
o 11
 
2.1%
S 11
 
2.1%
C 10
 
1.9%
e 9
 
1.7%
n 8
 
1.5%
& 7
 
1.3%
Y 7
 
1.3%
Other values (41) 118
22.2%
Hangul
ValueCountFrequency (%)
수 214
 
6.1%
장 196
 
5.6%
영 193
 
5.5%
스 168
 
4.8%
포 93
 
2.6%
이 91
 
2.6%
아 78
 
2.2%
터 68
 
1.9%
츠 68
 
1.9%
센 67
 
1.9%
Other values (325) 2288
64.9%
None
ValueCountFrequency (%)
＆ 1
100.0%

인허가일자
Date

Distinct377
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1972-01-05 00:00:00
Maximum2023-11-16 00:00:00
2023-12-11T07:05:46.339216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:05:46.446163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing462
Missing (%)100.0%
Memory size4.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
385 
13
63 
2
 
8
3
 
6

Length

Max length4
Median length4
Mean length3.6363636
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 385
83.3%
13 63
 
13.6%
2 8
 
1.7%
3 6
 
1.3%

Length

2023-12-11T07:05:46.581603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:46.658107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
83.3%
13 63
 
13.6%
2 8
 
1.7%
3 6
 
1.3%

영업상태명
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
운영중
243 
폐업 등
133 
영업중
63 
휴업 등
 
9
휴업
 
8

Length

Max length4
Median length3
Mean length3.2770563
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row운영중
3rd row운영중
4th row운영중
5th row폐업 등

Common Values

ValueCountFrequency (%)
운영중 243
52.6%
폐업 등 133
28.8%
영업중 63
 
13.6%
휴업 등 9
 
1.9%
휴업 8
 
1.7%
폐업 6
 
1.3%

Length

2023-12-11T07:05:46.754532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:46.845863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 243
40.2%
등 142
23.5%
폐업 139
23.0%
영업중 63
 
10.4%
휴업 17
 
2.8%

폐업일자
Date

MISSING 

Distinct130
Distinct (%)95.6%
Missing326
Missing (%)70.6%
Memory size3.7 KiB
Minimum1996-01-24 00:00:00
Maximum2023-11-08 00:00:00
2023-12-11T07:05:46.943462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:05:47.047440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct62
Distinct (%)100.0%
Missing400
Missing (%)86.6%
Memory size3.7 KiB
2023-12-11T07:05:47.244121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.548387
Min length8

Characters and Unicode

Total characters716
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row031-8078-8319
2nd row031-970-9004
3rd row031-903-6644
4th row031-927-9908
5th row0507-1464-7829
ValueCountFrequency (%)
031-527-7204 1
 
1.6%
031-8078-8319 1
 
1.6%
031-855-3888 1
 
1.6%
031-826-1012 1
 
1.6%
031-826-0081 1
 
1.6%
031-613-1062 1
 
1.6%
031-372-0023 1
 
1.6%
0313358887 1
 
1.6%
070-7770-5671 1
 
1.6%
031-895-5555 1
 
1.6%
Other values (52) 52
83.9%
2023-12-11T07:05:47.550659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
15.9%
0 103
14.4%
3 97
13.5%
1 86
12.0%
8 56
7.8%
7 52
7.3%
5 51
7.1%
2 48
6.7%
9 48
6.7%
4 31
 
4.3%
Other values (2) 30
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 601
83.9%
Dash Punctuation 114
 
15.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
17.1%
3 97
16.1%
1 86
14.3%
8 56
9.3%
7 52
8.7%
5 51
8.5%
2 48
8.0%
9 48
8.0%
4 31
 
5.2%
6 29
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 716
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
15.9%
0 103
14.4%
3 97
13.5%
1 86
12.0%
8 56
7.8%
7 52
7.3%
5 51
7.1%
2 48
6.7%
9 48
6.7%
4 31
 
4.3%
Other values (2) 30
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
15.9%
0 103
14.4%
3 97
13.5%
1 86
12.0%
8 56
7.8%
7 52
7.3%
5 51
7.1%
2 48
6.7%
9 48
6.7%
4 31
 
4.3%
Other values (2) 30
 
4.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing462
Missing (%)100.0%
Memory size4.2 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)96.0%
Missing387
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean14348.053
Minimum10292
Maximum18510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:47.664294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10292
5-th percentile10402.9
Q111520
median14579
Q316983
95-th percentile18222.5
Maximum18510
Range8218
Interquartile range (IQR)5463

Descriptive statistics

Standard deviation2843.4996
Coefficient of variation (CV)0.19818017
Kurtosis-1.6141435
Mean14348.053
Median Absolute Deviation (MAD)2511
Skewness-0.10353532
Sum1076104
Variance8085490.1
MonotonicityNot monotonic
2023-12-11T07:05:47.767246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11520 4
 
0.9%
16819 1
 
0.2%
16988 1
 
0.2%
16914 1
 
0.2%
17077 1
 
0.2%
17088 1
 
0.2%
17073 1
 
0.2%
16995 1
 
0.2%
16972 1
 
0.2%
16802 1
 
0.2%
Other values (62) 62
 
13.4%
(Missing) 387
83.8%
ValueCountFrequency (%)
10292 1
0.2%
10323 1
0.2%
10333 1
0.2%
10377 1
0.2%
10414 1
0.2%
10417 1
0.2%
10500 1
0.2%
10518 1
0.2%
10551 1
0.2%
10581 1
0.2%
ValueCountFrequency (%)
18510 1
0.2%
18472 1
0.2%
18467 1
0.2%
18429 1
0.2%
18134 1
0.2%
18111 1
0.2%
17870 1
0.2%
17563 1
0.2%
17406 1
0.2%
17387 1
0.2%

소재지도로명주소
Text

MISSING 

Distinct352
Distinct (%)85.4%
Missing50
Missing (%)10.8%
Memory size3.7 KiB
2023-12-11T07:05:48.013173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length29.490291
Min length14

Characters and Unicode

Total characters12150
Distinct characters358
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

Unique301 ?
Unique (%)73.1%

Sample

1st row경기도 가평군 가평읍 자라섬로 60 (자라섬안내소)
2nd row경기도 가평군 상면 청군로 430
3rd row경기도 가평군 설악면 유명로 1007-90
4th row경기도 가평군 가평읍 자라섬로 60 (자라섬안내소)
5th row경기도 가평군 가평읍 북한강변로 382
ValueCountFrequency (%)
경기도 412
 
16.1%
용인시 47
 
1.8%
고양시 41
 
1.6%
지하1층 29
 
1.1%
수원시 28
 
1.1%
덕양구 23
 
0.9%
화성시 23
 
0.9%
성남시 22
 
0.9%
파주시 21
 
0.8%
양주시 20
 
0.8%
Other values (994) 1890
73.9%
2023-12-11T07:05:48.374491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2199
 
18.1%
1 460
 
3.8%
기 444
 
3.7%
도 432
 
3.6%
경 425
 
3.5%
시 420
 
3.5%
로 398
 
3.3%
동 394
 
3.2%
) 314
 
2.6%
( 314
 
2.6%
Other values (348) 6350
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7089
58.3%
Space Separator 2199
 
18.1%
Decimal Number 1840
 
15.1%
Close Punctuation 314
 
2.6%
Open Punctuation 314
 
2.6%
Other Punctuation 261
 
2.1%
Dash Punctuation 82
 
0.7%
Uppercase Letter 45
 
0.4%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 444
 
6.3%
도 432
 
6.1%
경 425
 
6.0%
시 420
 
5.9%
로 398
 
5.6%
동 394
 
5.6%
구 194
 
2.7%
양 159
 
2.2%
지 136
 
1.9%
길 122
 
1.7%
Other values (318) 3965
55.9%
Uppercase Letter
ValueCountFrequency (%)
B 24
53.3%
C 3
 
6.7%
G 3
 
6.7%
I 2
 
4.4%
K 2
 
4.4%
A 2
 
4.4%
E 2
 
4.4%
T 2
 
4.4%
W 1
 
2.2%
Y 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 460
25.0%
2 261
14.2%
0 187
10.2%
3 171
 
9.3%
4 146
 
7.9%
6 139
 
7.6%
5 130
 
7.1%
8 126
 
6.8%
7 116
 
6.3%
9 104
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 258
98.9%
. 3
 
1.1%
Space Separator
ValueCountFrequency (%)
2199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7089
58.3%
Common 5016
41.3%
Latin 45
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 444
 
6.3%
도 432
 
6.1%
경 425
 
6.0%
시 420
 
5.9%
로 398
 
5.6%
동 394
 
5.6%
구 194
 
2.7%
양 159
 
2.2%
지 136
 
1.9%
길 122
 
1.7%
Other values (318) 3965
55.9%
Common
ValueCountFrequency (%)
2199
43.8%
1 460
 
9.2%
) 314
 
6.3%
( 314
 
6.3%
2 261
 
5.2%
, 258
 
5.1%
0 187
 
3.7%
3 171
 
3.4%
4 146
 
2.9%
6 139
 
2.8%
Other values (7) 567
 
11.3%
Latin
ValueCountFrequency (%)
B 24
53.3%
C 3
 
6.7%
G 3
 
6.7%
I 2
 
4.4%
K 2
 
4.4%
A 2
 
4.4%
E 2
 
4.4%
T 2
 
4.4%
W 1
 
2.2%
Y 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7089
58.3%
ASCII 5061
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2199
43.4%
1 460
 
9.1%
) 314
 
6.2%
( 314
 
6.2%
2 261
 
5.2%
, 258
 
5.1%
0 187
 
3.7%
3 171
 
3.4%
4 146
 
2.9%
6 139
 
2.7%
Other values (20) 612
 
12.1%
Hangul
ValueCountFrequency (%)
기 444
 
6.3%
도 432
 
6.1%
경 425
 
6.0%
시 420
 
5.9%
로 398
 
5.6%
동 394
 
5.6%
구 194
 
2.7%
양 159
 
2.2%
지 136
 
1.9%
길 122
 
1.7%
Other values (318) 3965
55.9%

소재지지번주소
Text

Distinct435
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T07:05:48.617933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length24.753247
Min length16

Characters and Unicode

Total characters11436
Distinct characters304
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

Unique415 ?
Unique (%)89.8%

Sample

1st row경기도 가평군 가평읍 달전리 산 8
2nd row경기도 가평군 상면 덕현리 402-25번지
3rd row경기도 가평군 설악면 방일리 산 90-1번지
4th row경기도 가평군 가평읍 달전리 산 8번지
5th row경기도 가평군 가평읍 금대리 46-5번지 외6필지
ValueCountFrequency (%)
경기도 462
 
18.6%
용인시 53
 
2.1%
고양시 46
 
1.9%
수원시 34
 
1.4%
덕양구 28
 
1.1%
화성시 28
 
1.1%
지하1층 23
 
0.9%
파주시 23
 
0.9%
성남시 22
 
0.9%
양주시 21
 
0.8%
Other values (959) 1745
70.2%
2023-12-11T07:05:48.966578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2090
 
18.3%
지 497
 
4.3%
기 490
 
4.3%
도 477
 
4.2%
경 463
 
4.0%
1 462
 
4.0%
시 459
 
4.0%
동 405
 
3.5%
번 381
 
3.3%
- 302
 
2.6%
Other values (294) 5410
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6918
60.5%
Space Separator 2090
 
18.3%
Decimal Number 2040
 
17.8%
Dash Punctuation 302
 
2.6%
Other Punctuation 35
 
0.3%
Uppercase Letter 32
 
0.3%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 497
 
7.2%
기 490
 
7.1%
도 477
 
6.9%
경 463
 
6.7%
시 459
 
6.6%
동 405
 
5.9%
번 381
 
5.5%
구 201
 
2.9%
양 162
 
2.3%
리 147
 
2.1%
Other values (267) 3236
46.8%
Decimal Number
ValueCountFrequency (%)
1 462
22.6%
2 234
11.5%
3 222
10.9%
4 208
10.2%
5 184
 
9.0%
0 179
 
8.8%
7 144
 
7.1%
6 141
 
6.9%
8 133
 
6.5%
9 133
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 19
59.4%
G 3
 
9.4%
E 2
 
6.2%
L 2
 
6.2%
S 1
 
3.1%
C 1
 
3.1%
T 1
 
3.1%
A 1
 
3.1%
K 1
 
3.1%
Y 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 34
97.1%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
2090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6918
60.5%
Common 4486
39.2%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 497
 
7.2%
기 490
 
7.1%
도 477
 
6.9%
경 463
 
6.7%
시 459
 
6.6%
동 405
 
5.9%
번 381
 
5.5%
구 201
 
2.9%
양 162
 
2.3%
리 147
 
2.1%
Other values (267) 3236
46.8%
Common
ValueCountFrequency (%)
2090
46.6%
1 462
 
10.3%
- 302
 
6.7%
2 234
 
5.2%
3 222
 
4.9%
4 208
 
4.6%
5 184
 
4.1%
0 179
 
4.0%
7 144
 
3.2%
6 141
 
3.1%
Other values (7) 320
 
7.1%
Latin
ValueCountFrequency (%)
B 19
59.4%
G 3
 
9.4%
E 2
 
6.2%
L 2
 
6.2%
S 1
 
3.1%
C 1
 
3.1%
T 1
 
3.1%
A 1
 
3.1%
K 1
 
3.1%
Y 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6918
60.5%
ASCII 4518
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2090
46.3%
1 462
 
10.2%
- 302
 
6.7%
2 234
 
5.2%
3 222
 
4.9%
4 208
 
4.6%
5 184
 
4.1%
0 179
 
4.0%
7 144
 
3.2%
6 141
 
3.1%
Other values (17) 352
 
7.8%
Hangul
ValueCountFrequency (%)
지 497
 
7.2%
기 490
 
7.1%
도 477
 
6.9%
경 463
 
6.7%
시 459
 
6.6%
동 405
 
5.9%
번 381
 
5.5%
구 201
 
2.9%
양 162
 
2.3%
리 147
 
2.1%
Other values (267) 3236
46.8%

소재지우편번호
Text

Distinct360
Distinct (%)78.3%
Missing2
Missing (%)0.4%
Memory size3.7 KiB
2023-12-11T07:05:49.265077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6543478
Min length5

Characters and Unicode

Total characters2601
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

Unique287 ?
Unique (%)62.4%

Sample

1st row12421
2nd row477821
3rd row12472
4th row12421
5th row477803
ValueCountFrequency (%)
482812 7
 
1.5%
427703 7
 
1.5%
482-812 4
 
0.9%
476892 4
 
0.9%
430850 3
 
0.7%
449821 3
 
0.7%
412140 3
 
0.7%
482813 3
 
0.7%
442835 3
 
0.7%
449935 3
 
0.7%
Other values (350) 420
91.3%
2023-12-11T07:05:49.668756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 470
18.1%
1 406
15.6%
8 321
12.3%
0 291
11.2%
2 258
9.9%
3 207
8.0%
7 175
 
6.7%
6 163
 
6.3%
5 158
 
6.1%
9 133
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2582
99.3%
Dash Punctuation 19
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 470
18.2%
1 406
15.7%
8 321
12.4%
0 291
11.3%
2 258
10.0%
3 207
8.0%
7 175
 
6.8%
6 163
 
6.3%
5 158
 
6.1%
9 133
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 470
18.1%
1 406
15.6%
8 321
12.3%
0 291
11.2%
2 258
9.9%
3 207
8.0%
7 175
 
6.7%
6 163
 
6.3%
5 158
 
6.1%
9 133
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 470
18.1%
1 406
15.6%
8 321
12.3%
0 291
11.2%
2 258
9.9%
3 207
8.0%
7 175
 
6.7%
6 163
 
6.3%
5 158
 
6.1%
9 133
 
5.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct353
Distinct (%)80.2%
Missing22
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean37.464034
Minimum36.954189
Maximum38.105471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:49.786692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.954189
5-th percentile37.093304
Q137.278119
median37.436502
Q337.656655
95-th percentile37.832267
Maximum38.105471
Range1.1512823
Interquartile range (IQR)0.37853624

Descriptive statistics

Standard deviation0.23545315
Coefficient of variation (CV)0.0062847784
Kurtosis-0.69188661
Mean37.464034
Median Absolute Deviation (MAD)0.19204085
Skewness0.14474435
Sum16484.175
Variance0.055438186
MonotonicityNot monotonic
2023-12-11T07:05:49.895329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4365017609 12
 
2.6%
37.706062274 3
 
0.6%
37.4210565353 3
 
0.6%
37.654065456 3
 
0.6%
37.2119611078 3
 
0.6%
37.2346619877 3
 
0.6%
37.1947290075 3
 
0.6%
37.358105182 3
 
0.6%
37.7654173604 3
 
0.6%
37.7999140506 3
 
0.6%
Other values (343) 401
86.8%
(Missing) 22
 
4.8%
ValueCountFrequency (%)
36.9541890474 1
0.2%
36.9591891537 1
0.2%
36.9889196835 1
0.2%
36.9896617484 1
0.2%
36.989951482 1
0.2%
36.9923804609 1
0.2%
36.9945235041 1
0.2%
36.9945679773 1
0.2%
36.9950110282 1
0.2%
36.9962447199 1
0.2%
ValueCountFrequency (%)
38.1054713866 1
 
0.2%
38.0653856554 1
 
0.2%
38.0650788424 1
 
0.2%
37.967634585 1
 
0.2%
37.9657984454 3
0.6%
37.944357646 1
 
0.2%
37.937775431 1
 
0.2%
37.9099781913 1
 
0.2%
37.9081012046 1
 
0.2%
37.9053331012 1
 
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct353
Distinct (%)80.2%
Missing22
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean127.04258
Minimum126.54709
Maximum127.65119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:50.011908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54709
5-th percentile126.75492
Q1126.88014
median127.04495
Q3127.1433
95-th percentile127.4803
Maximum127.65119
Range1.1041004
Interquartile range (IQR)0.26315116

Descriptive statistics

Standard deviation0.21046272
Coefficient of variation (CV)0.0016566313
Kurtosis0.23104766
Mean127.04258
Median Absolute Deviation (MAD)0.12864348
Skewness0.5012944
Sum55898.735
Variance0.044294556
MonotonicityNot monotonic
2023-12-11T07:05:50.123852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0240724311 12
 
2.6%
126.75492846 3
 
0.6%
126.9293282175 3
 
0.6%
126.839713303 3
 
0.6%
127.2949476083 3
 
0.6%
127.1563551478 3
 
0.6%
127.4459485076 3
 
0.6%
126.9331702202 3
 
0.6%
126.775768896 3
 
0.6%
127.2452048268 3
 
0.6%
Other values (343) 401
86.8%
(Missing) 22
 
4.8%
ValueCountFrequency (%)
126.5470861526 1
0.2%
126.5522087631 1
0.2%
126.5655170392 1
0.2%
126.6108391506 1
0.2%
126.6232141562 1
0.2%
126.6631222969 1
0.2%
126.6666969603 1
0.2%
126.6784563224 1
0.2%
126.6823996574 1
0.2%
126.6833852938 1
0.2%
ValueCountFrequency (%)
127.6511865479 1
0.2%
127.6406364705 1
0.2%
127.6402539811 1
0.2%
127.6376512898 1
0.2%
127.6368838183 1
0.2%
127.5761976905 1
0.2%
127.5756075896 2
0.4%
127.5423476482 1
0.2%
127.532614765 2
0.4%
127.5313475826 1
0.2%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing462
Missing (%)100.0%
Memory size4.2 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing385
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean203284.9
Minimum176163.65
Maximum250827.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:50.237046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176163.65
5-th percentile180146.05
Q1189663.83
median204933.46
Q3212450.24
95-th percentile233192.12
Maximum250827.91
Range74664.264
Interquartile range (IQR)22786.407

Descriptive statistics

Standard deviation16352.566
Coefficient of variation (CV)0.080441616
Kurtosis0.35222918
Mean203284.9
Median Absolute Deviation (MAD)9566.0995
Skewness0.56436481
Sum15652937
Variance2.6740642 × 108
MonotonicityNot monotonic
2023-12-11T07:05:50.343614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209846.886381683 1
 
0.2%
212799.013293794 1
 
0.2%
213057.927567229 1
 
0.2%
212450.236914779 1
 
0.2%
211484.764344229 1
 
0.2%
209208.438205463 1
 
0.2%
213963.013330316 1
 
0.2%
207959.874718778 1
 
0.2%
206896.784936692 1
 
0.2%
205771.706652122 1
 
0.2%
Other values (67) 67
 
14.5%
(Missing) 385
83.3%
ValueCountFrequency (%)
176163.647080854 1
0.2%
178297.078510883 1
0.2%
178377.089240784 1
0.2%
179570.204103597 1
0.2%
180290.007477584 1
0.2%
180615.228874123 1
0.2%
181695.887771376 1
0.2%
181961.733012032 1
0.2%
182884.677041562 1
0.2%
182909.965706674 1
0.2%
ValueCountFrequency (%)
250827.910659979 1
0.2%
246017.934434376 1
0.2%
239936.874017955 1
0.2%
239553.261443143 1
0.2%
231601.833525328 1
0.2%
226747.5145801 1
0.2%
226308.275312149 1
0.2%
221688.279088858 1
0.2%
219410.739816671 1
0.2%
218376.145950406 1
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing385
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean439292.15
Minimum387912.21
Maximum495840.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:50.455504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387912.21
5-th percentile409350.99
Q1417703.87
median429806.58
Q3463963.82
95-th percentile479534.61
Maximum495840.73
Range107928.52
Interquartile range (IQR)46259.949

Descriptive statistics

Standard deviation25910.714
Coefficient of variation (CV)0.058982875
Kurtosis-1.0774135
Mean439292.15
Median Absolute Deviation (MAD)18008.329
Skewness0.24512902
Sum33825496
Variance6.7136509 × 108
MonotonicityNot monotonic
2023-12-11T07:05:50.567531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419914.500217418 1
 
0.2%
419352.521052217 1
 
0.2%
421057.235457141 1
 
0.2%
417111.100206807 1
 
0.2%
416516.230926121 1
 
0.2%
417971.483787187 1
 
0.2%
417703.866164525 1
 
0.2%
424944.052159887 1
 
0.2%
423481.416798977 1
 
0.2%
426662.256960498 1
 
0.2%
Other values (67) 67
 
14.5%
(Missing) 385
83.3%
ValueCountFrequency (%)
387912.210052214 1
0.2%
388093.036705258 1
0.2%
406048.57444542 1
0.2%
406121.440503229 1
0.2%
410158.375016535 1
0.2%
410352.407905357 1
0.2%
410886.491607634 1
0.2%
411798.251209382 1
0.2%
412006.480244686 1
0.2%
412120.92481221 1
0.2%
ValueCountFrequency (%)
495840.726543435 1
0.2%
492786.329151291 1
0.2%
481628.127064284 1
0.2%
479539.874555445 1
0.2%
479533.288039534 1
0.2%
477361.703651837 1
0.2%
474800.039479889 1
0.2%
470387.112430508 1
0.2%
469339.759820934 1
0.2%
469081.989248441 1
0.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
수영장업
462 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수영장업 462
100.0%

Length

2023-12-11T07:05:50.661366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:50.725762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영장업 462
100.0%

보험가입여부코드
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.6%
Missing424
Missing (%)91.8%
Memory size1.0 KiB
True
 
38
(Missing)
424 
ValueCountFrequency (%)
True 38
 
8.2%
(Missing) 424
91.8%
2023-12-11T07:05:50.783791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지도자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.1%
Missing239
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean1.4484305
Minimum0
Maximum6
Zeros24
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T07:05:50.846128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.96131702
Coefficient of variation (CV)0.66369565
Kurtosis5.375667
Mean1.4484305
Median Absolute Deviation (MAD)1
Skewness1.5752973
Sum323
Variance0.92413041
MonotonicityNot monotonic
2023-12-11T07:05:50.923160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 104
22.5%
2 79
 
17.1%
0 24
 
5.2%
3 10
 
2.2%
5 3
 
0.6%
6 2
 
0.4%
4 1
 
0.2%
(Missing) 239
51.7%
ValueCountFrequency (%)
0 24
 
5.2%
1 104
22.5%
2 79
17.1%
3 10
 
2.2%
4 1
 
0.2%
5 3
 
0.6%
6 2
 
0.4%
ValueCountFrequency (%)
6 2
 
0.4%
5 3
 
0.6%
4 1
 
0.2%
3 10
 
2.2%
2 79
17.1%
1 104
22.5%
0 24
 
5.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
398 
0
63 
600
 
1

Length

Max length4
Median length4
Mean length3.5887446
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 398
86.1%
0 63
 
13.6%
600 1
 
0.2%

Length

2023-12-11T07:05:51.236687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:51.312908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 398
86.1%
0 63
 
13.6%
600 1
 
0.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명보험가입여부코드지도자수회원모집총인원
0가평군자라섬야외수영장2016-07-25<NA>13영업중<NA>031-8078-8319<NA>12421경기도 가평군 가평읍 자라섬로 60 (자라섬안내소)경기도 가평군 가평읍 달전리 산 81242137.8209127.521043<NA>246017.934434479533.28804수영장업Y<NA><NA>
1가평군켄싱턴리조트 청평야외수영장19990212<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 상면 청군로 430경기도 가평군 상면 덕현리 402-25번지47782137.759926127.395473<NA><NA><NA>수영장업<NA><NA><NA>
2가평군야외수영장20160629<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 유명로 1007-90경기도 가평군 설악면 방일리 산 90-1번지1247237.62413127.480101<NA><NA><NA>수영장업<NA><NA><NA>
3가평군자라섬야외수영장20160725<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 자라섬로 60 (자라섬안내소)경기도 가평군 가평읍 달전리 산 8번지1242137.8209127.521043<NA><NA><NA>수영장업<NA><NA><NA>
4가평군클럽인너20130801<NA><NA>폐업 등20160811<NA><NA><NA>경기도 가평군 가평읍 북한강변로 382경기도 가평군 가평읍 금대리 46-5번지 외6필지47780337.761831127.542348<NA><NA><NA>수영장업<NA><NA><NA>
5가평군정원풀장19960705<NA><NA>폐업 등20050713<NA><NA><NA><NA>경기도 가평군 설악면 회곡리 433번지477854<NA><NA><NA><NA><NA>수영장업<NA><NA><NA>
6고양시몬스터키즈풀2014-06-16<NA>13영업중<NA>031-970-9004<NA>10518경기도 고양시 덕양구 중앙로 547, 지층 (행신동)경기도 고양시 덕양구 행신동 995-2412-83537.622768126.835956<NA>185451.015782457836.844102수영장업Y10
7고양시몬스터 키즈 풀2016-04-04<NA>13영업중<NA>031-903-6644<NA>10417경기도 고양시 일산동구 강촌로 195, 지하층 1호 (마두동, 백마마을4단지)경기도 고양시 일산동구 마두동 734 지하1호1041737.654959126.794789<NA>181695.887771461546.096077수영장업<NA>20
8고양시아쿠아필드 고양2017-08-17<NA>13영업중<NA><NA><NA>10595경기도 고양시 덕양구 고양대로 1955, 6층 (동산동, 스타필드고양)경기도 고양시 덕양구 동산동 3701059537.647096126.894809<NA>190645.31431460528.947974수영장업Y2<NA>
9고양시키즈라움2015-06-17<NA>13영업중<NA>031-927-9908<NA>10323경기도 고양시 일산동구 위시티2로11번길 31, 801호 (식사동, 스타타워)경기도 고양시 일산동구 식사동 1531 스타타워 801호410-82137.677937126.81216<NA>183360.66463963.815수영장업<NA>2<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명보험가입여부코드지도자수회원모집총인원
452화성시라온어린이수영장20170925<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 효행로 1161, 지하1층 (기산동)경기도 화성시 기산동 48-2번지 지하1층1838537.215125127.052719<NA><NA><NA>수영장업<NA>1<NA>
453화성시현대수영장19970403<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 남양읍 남양리 1842번지44501037.197929126.823368<NA><NA><NA>수영장업<NA><NA><NA>
454화성시88수영장20030716<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 세자로 446 (안녕동)경기도 화성시 안녕동 180-131번지44538037.204708126.984715<NA><NA><NA>수영장업<NA><NA><NA>
455화성시화성스포츠센터수영장19980923<NA><NA>폐업 등20160315<NA><NA><NA>경기도 화성시 화산중앙로 18 (안녕동)경기도 화성시 안녕동 20-1번지44538037.205882127.014417<NA><NA><NA>수영장업<NA>1<NA>
456화성시별장스포츠센터20000128<NA><NA>폐업 등20000901<NA><NA><NA>경기도 화성시 장안면 흥천길 84-34경기도 화성시 장안면 사곡리 736-4번지44594237.058097126.805109<NA><NA><NA>수영장업<NA><NA><NA>
457화성시(재)화성시문화재단20101230<NA><NA>폐업 등20110530<NA><NA><NA><NA>경기도 화성시 반송동 108번지44516037.200704127.075015<NA><NA><NA>수영장업<NA><NA><NA>
458화성시아이월드20130724<NA><NA>폐업 등20171019<NA><NA><NA>경기도 화성시 반월북길 49 (반월동)경기도 화성시 반월동 325-5번지44533037.230089127.060048<NA><NA><NA>수영장업<NA><NA><NA>
459화성시주말수영장19891121<NA><NA>폐업 등20010409<NA><NA><NA><NA>경기도 화성시 안녕동 180-130번지44538037.203971126.983507<NA><NA><NA>수영장업<NA><NA><NA>
460화성시발안수영장19940729<NA><NA>폐업 등19960919<NA><NA><NA>경기도 화성시 팔탄면 3.1만세로 641-28경기도 화성시 팔탄면 화당리 73번지44597137.116549126.860405<NA><NA><NA>수영장업<NA><NA><NA>
461화성시라비돌수영장19960726<NA><NA>휴업 등<NA><NA><NA><NA><NA>경기도 화성시 정남면 괘랑리 산 60-47번지445965<NA><NA><NA><NA><NA>수영장업<NA><NA><NA>