Overview

Dataset statistics

Number of variables22
Number of observations4373
Missing cells30200
Missing cells (%)31.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory790.2 KiB
Average record size in memory185.0 B

Variable types

Categorical7
Text6
DateTime2
Unsupported3
Numeric4

Dataset

Description체력 단련장업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=W79O75LJ92OZ3P30IFST755934&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (57.5%)Imbalance
공사립구분명 is highly imbalanced (99.4%)Imbalance
보험가입여부코드 is highly imbalanced (97.8%)Imbalance
회원모집총인원 is highly imbalanced (61.6%)Imbalance
인허가취소일자 has 4373 (100.0%) missing valuesMissing
폐업일자 has 2981 (68.2%) missing valuesMissing
소재지시설전화번호 has 3893 (89.0%) missing valuesMissing
소재지면적정보 has 4373 (100.0%) missing valuesMissing
도로명우편번호 has 3308 (75.6%) missing valuesMissing
소재지도로명주소 has 123 (2.8%) missing valuesMissing
WGS84위도 has 73 (1.7%) missing valuesMissing
WGS84경도 has 73 (1.7%) missing valuesMissing
업태구분명정보 has 4373 (100.0%) missing valuesMissing
X좌표값 has 3312 (75.7%) missing valuesMissing
Y좌표값 has 3312 (75.7%) 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

Reproduction

Analysis started2023-12-10 22:32:33.989307
Analysis finished2023-12-10 22:32:35.384045
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
수원시
462 
성남시
413 
고양시
403 
부천시
343 
용인시
308 
Other values (26)
2444 

Length

Max length4
Median length3
Mean length3.0923851
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 462
 
10.6%
성남시 413
 
9.4%
고양시 403
 
9.2%
부천시 343
 
7.8%
용인시 308
 
7.0%
안양시 237
 
5.4%
남양주시 204
 
4.7%
안산시 200
 
4.6%
화성시 193
 
4.4%
의정부시 168
 
3.8%
Other values (21) 1442
33.0%

Length

2023-12-11T07:32:35.440512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 462
 
10.6%
성남시 413
 
9.4%
고양시 403
 
9.2%
부천시 343
 
7.8%
용인시 308
 
7.0%
안양시 237
 
5.4%
남양주시 204
 
4.7%
안산시 200
 
4.6%
화성시 193
 
4.4%
의정부시 168
 
3.8%
Other values (21) 1442
33.0%

사업장명
Text

Distinct3832
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2023-12-11T07:32:35.758402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length29
Mean length7.6254288
Min length2

Characters and Unicode

Total characters33346
Distinct characters703
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3453 ?
Unique (%)79.0%

Sample

1st row뉴라온다이어트캠프
2nd row시골근육
3rd rowON/OFF GYM
4th rowY휘트니스
5th row고릴라 짐, NOW
ValueCountFrequency (%)
휘트니스 344
 
5.2%
gym 149
 
2.3%
짐 85
 
1.3%
헬스 76
 
1.1%
피트니스 71
 
1.1%
pt 69
 
1.0%
헬스클럽 49
 
0.7%
크로스핏 43
 
0.7%
커브스 41
 
0.6%
클럽 33
 
0.5%
Other values (4080) 5649
85.5%
2023-12-11T07:32:36.280117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 3344
 
10.0%
2241
 
6.7%
트 1395
 
4.2%
니 1199
 
3.6%
헬 1048
 
3.1%
휘 984
 
3.0%
짐 835
 
2.5%
럽 680
 
2.0%
클 653
 
2.0%
이 626
 
1.9%
Other values (693) 20341
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25667
77.0%
Uppercase Letter 3073
 
9.2%
Space Separator 2241
 
6.7%
Lowercase Letter 1270
 
3.8%
Decimal Number 341
 
1.0%
Close Punctuation 256
 
0.8%
Open Punctuation 253
 
0.8%
Other Punctuation 180
 
0.5%
Dash Punctuation 55
 
0.2%
Math Symbol 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 3344
 
13.0%
트 1395
 
5.4%
니 1199
 
4.7%
헬 1048
 
4.1%
휘 984
 
3.8%
짐 835
 
3.3%
럽 680
 
2.6%
클 653
 
2.5%
이 626
 
2.4%
포 408
 
1.6%
Other values (610) 14495
56.5%
Uppercase Letter
ValueCountFrequency (%)
M 328
 
10.7%
T 320
 
10.4%
G 262
 
8.5%
Y 247
 
8.0%
P 205
 
6.7%
S 202
 
6.6%
A 131
 
4.3%
I 131
 
4.3%
E 128
 
4.2%
O 125
 
4.1%
Other values (16) 994
32.3%
Lowercase Letter
ValueCountFrequency (%)
e 131
 
10.3%
o 116
 
9.1%
i 110
 
8.7%
s 106
 
8.3%
t 99
 
7.8%
n 92
 
7.2%
y 84
 
6.6%
m 69
 
5.4%
a 66
 
5.2%
l 58
 
4.6%
Other values (16) 339
26.7%
Decimal Number
ValueCountFrequency (%)
2 97
28.4%
1 78
22.9%
0 44
12.9%
4 28
 
8.2%
3 26
 
7.6%
8 20
 
5.9%
5 20
 
5.9%
6 12
 
3.5%
7 10
 
2.9%
9 6
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 82
45.6%
. 61
33.9%
' 14
 
7.8%
· 9
 
5.0%
, 7
 
3.9%
: 4
 
2.2%
/ 2
 
1.1%
# 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
> 1
25.0%
< 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 254
99.2%
] 2
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 251
99.2%
[ 2
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
2241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Number
ValueCountFrequency (%)
₂ 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25666
77.0%
Latin 4343
 
13.0%
Common 3336
 
10.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 3344
 
13.0%
트 1395
 
5.4%
니 1199
 
4.7%
헬 1048
 
4.1%
휘 984
 
3.8%
짐 835
 
3.3%
럽 680
 
2.6%
클 653
 
2.5%
이 626
 
2.4%
포 408
 
1.6%
Other values (609) 14494
56.5%
Latin
ValueCountFrequency (%)
M 328
 
7.6%
T 320
 
7.4%
G 262
 
6.0%
Y 247
 
5.7%
P 205
 
4.7%
S 202
 
4.7%
A 131
 
3.0%
I 131
 
3.0%
e 131
 
3.0%
E 128
 
2.9%
Other values (42) 2258
52.0%
Common
ValueCountFrequency (%)
2241
67.2%
) 254
 
7.6%
( 251
 
7.5%
2 97
 
2.9%
& 82
 
2.5%
1 78
 
2.3%
. 61
 
1.8%
- 55
 
1.6%
0 44
 
1.3%
4 28
 
0.8%
Other values (21) 145
 
4.3%
Han
ValueCountFrequency (%)
身 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25666
77.0%
ASCII 7666
 
23.0%
None 12
 
< 0.1%
CJK 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 3344
 
13.0%
트 1395
 
5.4%
니 1199
 
4.7%
헬 1048
 
4.1%
휘 984
 
3.8%
짐 835
 
3.3%
럽 680
 
2.6%
클 653
 
2.5%
이 626
 
2.4%
포 408
 
1.6%
Other values (609) 14494
56.5%
ASCII
ValueCountFrequency (%)
2241
29.2%
M 328
 
4.3%
T 320
 
4.2%
G 262
 
3.4%
) 254
 
3.3%
( 251
 
3.3%
Y 247
 
3.2%
P 205
 
2.7%
S 202
 
2.6%
A 131
 
1.7%
Other values (69) 3225
42.1%
None
ValueCountFrequency (%)
· 9
75.0%
₂ 2
 
16.7%
° 1
 
8.3%
CJK
ValueCountFrequency (%)
身 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

인허가일자
Date

Distinct2839
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum1989-10-07 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:32:36.424032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:36.610472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4373
Missing (%)100.0%
Memory size38.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3274 
13
950 
3
 
112
35
 
35
2
 
2

Length

Max length4
Median length4
Mean length3.4713012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
<NA> 3274
74.9%
13 950
 
21.7%
3 112
 
2.6%
35 35
 
0.8%
2 2
 
< 0.1%

Length

2023-12-11T07:32:36.748936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:36.880884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3274
74.9%
13 950
 
21.7%
3 112
 
2.6%
35 35
 
0.8%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
운영중
2022 
폐업 등
1249 
영업중
950 
폐업
 
112
직권말소
 
35
Other values (2)
 
5

Length

Max length4
Median length3
Mean length3.2682369
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2022
46.2%
폐업 등 1249
28.6%
영업중 950
21.7%
폐업 112
 
2.6%
직권말소 35
 
0.8%
휴업 등 3
 
0.1%
휴업 2
 
< 0.1%

Length

2023-12-11T07:32:37.037341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:37.166258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2022
35.9%
폐업 1361
24.2%
등 1252
22.3%
영업중 950
16.9%
직권말소 35
 
0.6%
휴업 5
 
0.1%

폐업일자
Date

MISSING 

Distinct1055
Distinct (%)75.8%
Missing2981
Missing (%)68.2%
Memory size34.3 KiB
Minimum1992-03-30 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:32:37.327213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:37.457634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct475
Distinct (%)99.0%
Missing3893
Missing (%)89.0%
Memory size34.3 KiB
2023-12-11T07:32:37.724701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.533333
Min length7

Characters and Unicode

Total characters5536
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique470 ?
Unique (%)97.9%

Sample

1st row0319112400
2nd row031-970-9618
3rd row031-979-0321
4th row02-3159-0844
5th row031-932-9682
ValueCountFrequency (%)
031-374-3415 2
 
0.4%
070-7034-1136 2
 
0.4%
031-211-8314 2
 
0.4%
031-295-0103 2
 
0.4%
031-325-6801 2
 
0.4%
031-383-1489 1
 
0.2%
031-425-6454 1
 
0.2%
031-388-6740 1
 
0.2%
031-466-6643 1
 
0.2%
0313608267 1
 
0.2%
Other values (465) 465
96.9%
2023-12-11T07:32:38.160606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 860
15.5%
0 791
14.3%
3 753
13.6%
1 665
12.0%
2 471
8.5%
7 408
7.4%
9 359
6.5%
8 335
 
6.1%
6 303
 
5.5%
5 295
 
5.3%
Other values (4) 296
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4672
84.4%
Dash Punctuation 860
 
15.5%
Close Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 791
16.9%
3 753
16.1%
1 665
14.2%
2 471
10.1%
7 408
8.7%
9 359
7.7%
8 335
7.2%
6 303
 
6.5%
5 295
 
6.3%
4 292
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 860
15.5%
0 791
14.3%
3 753
13.6%
1 665
12.0%
2 471
8.5%
7 408
7.4%
9 359
6.5%
8 335
 
6.1%
6 303
 
5.5%
5 295
 
5.3%
Other values (4) 296
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 860
15.5%
0 791
14.3%
3 753
13.6%
1 665
12.0%
2 471
8.5%
7 408
7.4%
9 359
6.5%
8 335
 
6.1%
6 303
 
5.5%
5 295
 
5.3%
Other values (4) 296
 
5.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4373
Missing (%)100.0%
Memory size38.6 KiB

도로명우편번호
Text

MISSING 

Distinct702
Distinct (%)65.9%
Missing3308
Missing (%)75.6%
Memory size34.3 KiB
2023-12-11T07:32:38.570709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0075117
Min length5

Characters and Unicode

Total characters5333
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

Unique480 ?
Unique (%)45.1%

Sample

1st row12400
2nd row12465
3rd row12417
4th row12452
5th row12427
ValueCountFrequency (%)
15865 16
 
1.5%
16704 9
 
0.8%
17006 8
 
0.8%
10071 7
 
0.7%
12913 7
 
0.7%
14548 6
 
0.6%
16705 5
 
0.5%
10414 5
 
0.5%
13558 5
 
0.5%
18448 5
 
0.5%
Other values (692) 992
93.1%
2023-12-11T07:32:39.064367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1420
26.6%
4 549
 
10.3%
0 515
 
9.7%
5 472
 
8.9%
6 465
 
8.7%
8 417
 
7.8%
2 399
 
7.5%
3 398
 
7.5%
7 382
 
7.2%
9 312
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5329
99.9%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1420
26.6%
4 549
 
10.3%
0 515
 
9.7%
5 472
 
8.9%
6 465
 
8.7%
8 417
 
7.8%
2 399
 
7.5%
3 398
 
7.5%
7 382
 
7.2%
9 312
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1420
26.6%
4 549
 
10.3%
0 515
 
9.7%
5 472
 
8.9%
6 465
 
8.7%
8 417
 
7.8%
2 399
 
7.5%
3 398
 
7.5%
7 382
 
7.2%
9 312
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1420
26.6%
4 549
 
10.3%
0 515
 
9.7%
5 472
 
8.9%
6 465
 
8.7%
8 417
 
7.8%
2 399
 
7.5%
3 398
 
7.5%
7 382
 
7.2%
9 312
 
5.9%

소재지도로명주소
Text

MISSING 

Distinct3966
Distinct (%)93.3%
Missing123
Missing (%)2.8%
Memory size34.3 KiB
2023-12-11T07:32:39.440435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length59
Mean length32.524471
Min length13

Characters and Unicode

Total characters138229
Distinct characters595
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3694 ?
Unique (%)86.9%

Sample

1st row경기도 가평군 북면 가화로 2901, 약속의섬레저타운
2nd row경기도 가평군 설악면 신천중앙로 150, 3,4층
3rd row경기도 가평군 가평읍 문화로 154, 새마을회관 2층
4th row경기도 가평군 청평면 은고개로 36, 전주이씨도사공청평종중회관 3층
5th row경기도 가평군 가평읍 북한강변로 917
ValueCountFrequency (%)
경기도 4250
 
15.0%
수원시 457
 
1.6%
성남시 405
 
1.4%
고양시 393
 
1.4%
부천시 335
 
1.2%
용인시 302
 
1.1%
3층 295
 
1.0%
2층 281
 
1.0%
4층 253
 
0.9%
분당구 236
 
0.8%
Other values (5744) 21195
74.6%
2023-12-11T07:32:40.179361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25048
 
18.1%
동 4676
 
3.4%
시 4521
 
3.3%
1 4502
 
3.3%
경 4484
 
3.2%
기 4474
 
3.2%
도 4414
 
3.2%
, 4343
 
3.1%
로 4133
 
3.0%
( 3935
 
2.8%
Other values (585) 73699
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76769
55.5%
Space Separator 25048
 
18.1%
Decimal Number 22850
 
16.5%
Other Punctuation 4384
 
3.2%
Open Punctuation 3935
 
2.8%
Close Punctuation 3935
 
2.8%
Dash Punctuation 613
 
0.4%
Uppercase Letter 427
 
0.3%
Math Symbol 230
 
0.2%
Lowercase Letter 30
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4676
 
6.1%
시 4521
 
5.9%
경 4484
 
5.8%
기 4474
 
5.8%
도 4414
 
5.7%
로 4133
 
5.4%
구 2204
 
2.9%
층 1949
 
2.5%
호 1783
 
2.3%
길 1372
 
1.8%
Other values (518) 42759
55.7%
Uppercase Letter
ValueCountFrequency (%)
B 154
36.1%
A 37
 
8.7%
C 27
 
6.3%
S 24
 
5.6%
L 21
 
4.9%
G 18
 
4.2%
R 15
 
3.5%
D 14
 
3.3%
E 13
 
3.0%
M 13
 
3.0%
Other values (15) 91
21.3%
Lowercase Letter
ValueCountFrequency (%)
l 7
23.3%
e 5
16.7%
b 3
10.0%
a 2
 
6.7%
k 2
 
6.7%
r 2
 
6.7%
o 2
 
6.7%
p 1
 
3.3%
i 1
 
3.3%
w 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
1 4502
19.7%
2 3277
14.3%
0 3033
13.3%
3 2673
11.7%
4 2164
9.5%
5 1886
8.3%
6 1663
 
7.3%
7 1406
 
6.2%
8 1187
 
5.2%
9 1059
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4343
99.1%
. 25
 
0.6%
/ 6
 
0.1%
& 3
 
0.1%
@ 3
 
0.1%
· 2
 
< 0.1%
？ 1
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅴ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 227
98.7%
∼ 3
 
1.3%
Space Separator
ValueCountFrequency (%)
25048
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3935
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 613
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76768
55.5%
Common 60996
44.1%
Latin 464
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4676
 
6.1%
시 4521
 
5.9%
경 4484
 
5.8%
기 4474
 
5.8%
도 4414
 
5.7%
로 4133
 
5.4%
구 2204
 
2.9%
층 1949
 
2.5%
호 1783
 
2.3%
길 1372
 
1.8%
Other values (517) 42758
55.7%
Latin
ValueCountFrequency (%)
B 154
33.2%
A 37
 
8.0%
C 27
 
5.8%
S 24
 
5.2%
L 21
 
4.5%
G 18
 
3.9%
R 15
 
3.2%
D 14
 
3.0%
E 13
 
2.8%
M 13
 
2.8%
Other values (32) 128
27.6%
Common
ValueCountFrequency (%)
25048
41.1%
1 4502
 
7.4%
, 4343
 
7.1%
( 3935
 
6.5%
) 3935
 
6.5%
2 3277
 
5.4%
0 3033
 
5.0%
3 2673
 
4.4%
4 2164
 
3.5%
5 1886
 
3.1%
Other values (15) 6200
 
10.2%
Han
ValueCountFrequency (%)
仟 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76764
55.5%
ASCII 61446
44.5%
Number Forms 7
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Math Operators 3
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25048
40.8%
1 4502
 
7.3%
, 4343
 
7.1%
( 3935
 
6.4%
) 3935
 
6.4%
2 3277
 
5.3%
0 3033
 
4.9%
3 2673
 
4.4%
4 2164
 
3.5%
5 1886
 
3.1%
Other values (50) 6650
 
10.8%
Hangul
ValueCountFrequency (%)
동 4676
 
6.1%
시 4521
 
5.9%
경 4484
 
5.8%
기 4474
 
5.8%
도 4414
 
5.8%
로 4133
 
5.4%
구 2204
 
2.9%
층 1949
 
2.5%
호 1783
 
2.3%
길 1372
 
1.8%
Other values (514) 42754
55.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅴ 1
 
14.3%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
50.0%
ㅊ 1
25.0%
ㅇ 1
25.0%
None
ValueCountFrequency (%)
· 2
66.7%
？ 1
33.3%
CJK
ValueCountFrequency (%)
仟 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지지번주소
Text

Distinct4224
Distinct (%)96.6%
Missing1
Missing (%)< 0.1%
Memory size34.3 KiB
2023-12-11T07:32:40.485378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length54
Mean length26.501601
Min length11

Characters and Unicode

Total characters115865
Distinct characters547
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4085 ?
Unique (%)93.4%

Sample

1st row경기도 가평군 북면 적목리 103-3 뉴라온다이어트캠프
2nd row경기도 가평군 설악면 신천리 574-8
3rd row경기도 가평군 가평읍 대곡리 318-4
4th row경기도 가평군 청평면 청평리 333-9 전주이씨도사공청평종중회관
5th row경기도 가평군 가평읍 이화리 9-20
ValueCountFrequency (%)
경기도 4372
 
17.8%
수원시 462
 
1.9%
성남시 413
 
1.7%
고양시 403
 
1.6%
부천시 343
 
1.4%
용인시 308
 
1.3%
분당구 240
 
1.0%
안양시 237
 
1.0%
3층 207
 
0.8%
남양주시 204
 
0.8%
Other values (6236) 17319
70.7%
2023-12-11T07:32:40.981722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21069
 
18.2%
1 4731
 
4.1%
기 4559
 
3.9%
시 4552
 
3.9%
동 4525
 
3.9%
도 4489
 
3.9%
경 4414
 
3.8%
지 3728
 
3.2%
- 3408
 
2.9%
번 3234
 
2.8%
Other values (537) 57156
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66657
57.5%
Decimal Number 23643
 
20.4%
Space Separator 21069
 
18.2%
Dash Punctuation 3408
 
2.9%
Other Punctuation 413
 
0.4%
Uppercase Letter 324
 
0.3%
Math Symbol 134
 
0.1%
Open Punctuation 88
 
0.1%
Close Punctuation 88
 
0.1%
Lowercase Letter 32
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4559
 
6.8%
시 4552
 
6.8%
동 4525
 
6.8%
도 4489
 
6.7%
경 4414
 
6.6%
지 3728
 
5.6%
번 3234
 
4.9%
구 2179
 
3.3%
양 1336
 
2.0%
호 1313
 
2.0%
Other values (470) 32328
48.5%
Uppercase Letter
ValueCountFrequency (%)
B 118
36.4%
A 31
 
9.6%
S 20
 
6.2%
G 15
 
4.6%
L 15
 
4.6%
C 14
 
4.3%
I 12
 
3.7%
E 11
 
3.4%
D 9
 
2.8%
M 8
 
2.5%
Other values (15) 71
21.9%
Lowercase Letter
ValueCountFrequency (%)
l 7
21.9%
e 5
15.6%
b 3
9.4%
a 3
9.4%
k 2
 
6.2%
w 2
 
6.2%
r 2
 
6.2%
o 2
 
6.2%
p 1
 
3.1%
i 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 4731
20.0%
2 2900
12.3%
0 2657
11.2%
3 2539
10.7%
4 2260
9.6%
5 2154
9.1%
6 1770
 
7.5%
7 1728
 
7.3%
8 1512
 
6.4%
9 1392
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 374
90.6%
. 22
 
5.3%
/ 9
 
2.2%
@ 3
 
0.7%
& 2
 
0.5%
? 1
 
0.2%
？ 1
 
0.2%
· 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅴ 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
~ 131
97.8%
∼ 3
 
2.2%
Space Separator
ValueCountFrequency (%)
21069
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66656
57.5%
Common 48844
42.2%
Latin 364
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4559
 
6.8%
시 4552
 
6.8%
동 4525
 
6.8%
도 4489
 
6.7%
경 4414
 
6.6%
지 3728
 
5.6%
번 3234
 
4.9%
구 2179
 
3.3%
양 1336
 
2.0%
호 1313
 
2.0%
Other values (469) 32327
48.5%
Latin
ValueCountFrequency (%)
B 118
32.4%
A 31
 
8.5%
S 20
 
5.5%
G 15
 
4.1%
L 15
 
4.1%
C 14
 
3.8%
I 12
 
3.3%
E 11
 
3.0%
D 9
 
2.5%
M 8
 
2.2%
Other values (32) 111
30.5%
Common
ValueCountFrequency (%)
21069
43.1%
1 4731
 
9.7%
- 3408
 
7.0%
2 2900
 
5.9%
0 2657
 
5.4%
3 2539
 
5.2%
4 2260
 
4.6%
5 2154
 
4.4%
6 1770
 
3.6%
7 1728
 
3.5%
Other values (15) 3628
 
7.4%
Han
ValueCountFrequency (%)
仟 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66653
57.5%
ASCII 49194
42.5%
Number Forms 8
 
< 0.1%
Math Operators 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21069
42.8%
1 4731
 
9.6%
- 3408
 
6.9%
2 2900
 
5.9%
0 2657
 
5.4%
3 2539
 
5.2%
4 2260
 
4.6%
5 2154
 
4.4%
6 1770
 
3.6%
7 1728
 
3.5%
Other values (50) 3978
 
8.1%
Hangul
ValueCountFrequency (%)
기 4559
 
6.8%
시 4552
 
6.8%
동 4525
 
6.8%
도 4489
 
6.7%
경 4414
 
6.6%
지 3728
 
5.6%
번 3234
 
4.9%
구 2179
 
3.3%
양 1336
 
2.0%
호 1313
 
2.0%
Other values (467) 32324
48.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅴ 1
 
12.5%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅊ 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
None
ValueCountFrequency (%)
？ 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
仟 1
100.0%

소재지우편번호
Text

Distinct2109
Distinct (%)48.3%
Missing5
Missing (%)0.1%
Memory size34.3 KiB
2023-12-11T07:32:41.370382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5755495
Min length5

Characters and Unicode

Total characters24354
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

Unique1135 ?
Unique (%)26.0%

Sample

1st row12400
2nd row12465
3rd row12417
4th row12452
5th row12427
ValueCountFrequency (%)
410837 24
 
0.5%
15865 17
 
0.4%
463824 14
 
0.3%
420852 14
 
0.3%
445160 13
 
0.3%
14548 13
 
0.3%
10071 13
 
0.3%
412827 12
 
0.3%
431070 11
 
0.3%
483030 11
 
0.3%
Other values (2099) 4226
96.7%
2023-12-11T07:32:41.894249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4445
18.3%
1 4075
16.7%
8 2944
12.1%
0 2573
10.6%
2 2305
9.5%
3 2051
8.4%
6 1756
 
7.2%
5 1663
 
6.8%
7 1328
 
5.5%
9 1105
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24245
99.6%
Dash Punctuation 109
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4445
18.3%
1 4075
16.8%
8 2944
12.1%
0 2573
10.6%
2 2305
9.5%
3 2051
8.5%
6 1756
 
7.2%
5 1663
 
6.9%
7 1328
 
5.5%
9 1105
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24354
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4445
18.3%
1 4075
16.7%
8 2944
12.1%
0 2573
10.6%
2 2305
9.5%
3 2051
8.4%
6 1756
 
7.2%
5 1663
 
6.8%
7 1328
 
5.5%
9 1105
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4445
18.3%
1 4075
16.7%
8 2944
12.1%
0 2573
10.6%
2 2305
9.5%
3 2051
8.4%
6 1756
 
7.2%
5 1663
 
6.8%
7 1328
 
5.5%
9 1105
 
4.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct3385
Distinct (%)78.7%
Missing73
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean37.435317
Minimum36.954189
Maximum38.159969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-11T07:32:42.050806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.954189
5-th percentile37.118408
Q137.291912
median37.398443
Q337.611715
95-th percentile37.751951
Maximum38.159969
Range1.2057798
Interquartile range (IQR)0.31980312

Descriptive statistics

Standard deviation0.2033441
Coefficient of variation (CV)0.0054318785
Kurtosis-0.24182685
Mean37.435317
Median Absolute Deviation (MAD)0.12638993
Skewness0.19252936
Sum160971.86
Variance0.041348821
MonotonicityNot monotonic
2023-12-11T07:32:42.196143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6496559417 6
 
0.1%
37.6607585379 5
 
0.1%
37.3637399498 5
 
0.1%
37.4748799229 5
 
0.1%
37.3067600253 5
 
0.1%
37.3878957125 5
 
0.1%
37.2234666446 5
 
0.1%
37.291029521 4
 
0.1%
37.0167520265 4
 
0.1%
37.3965488954 4
 
0.1%
Other values (3375) 4252
97.2%
(Missing) 73
 
1.7%
ValueCountFrequency (%)
36.9541890474 1
< 0.1%
36.9593154705 1
< 0.1%
36.959508969 1
< 0.1%
36.9599472203 1
< 0.1%
36.9608124221 1
< 0.1%
36.9628197157 1
< 0.1%
36.9632453036 1
< 0.1%
36.9633347083 1
< 0.1%
36.9642941176 2
< 0.1%
36.9786573693 2
< 0.1%
ValueCountFrequency (%)
38.1599688921 1
< 0.1%
38.1539503174 1
< 0.1%
38.0912991505 2
< 0.1%
38.0910589286 1
< 0.1%
38.0894446557 2
< 0.1%
38.0828123783 1
< 0.1%
38.0255395956 2
< 0.1%
38.0243953279 1
< 0.1%
38.0234438697 2
< 0.1%
38.0210501068 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct3385
Distinct (%)78.7%
Missing73
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean126.99774
Minimum126.58299
Maximum127.66105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-11T07:32:42.335006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58299
5-th percentile126.747
Q1126.83196
median127.03174
Q3127.11632
95-th percentile127.26096
Maximum127.66105
Range1.0780592
Interquartile range (IQR)0.28436046

Descriptive statistics

Standard deviation0.18110541
Coefficient of variation (CV)0.0014260523
Kurtosis0.23566814
Mean126.99774
Median Absolute Deviation (MAD)0.11836866
Skewness0.38259544
Sum546090.26
Variance0.03279917
MonotonicityNot monotonic
2023-12-11T07:32:42.507955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1135173927 6
 
0.1%
126.7658801073 5
 
0.1%
126.960400091 5
 
0.1%
126.8662530756 5
 
0.1%
127.0846083156 5
 
0.1%
127.1229082544 5
 
0.1%
127.0633444875 5
 
0.1%
127.0666661168 4
 
0.1%
127.2583766322 4
 
0.1%
126.966118898 4
 
0.1%
Other values (3375) 4252
97.2%
(Missing) 73
 
1.7%
ValueCountFrequency (%)
126.5829862284 1
< 0.1%
126.5976057487 1
< 0.1%
126.5978618162 2
< 0.1%
126.5987857629 1
< 0.1%
126.5997584827 1
< 0.1%
126.5999102867 1
< 0.1%
126.6000799574 2
< 0.1%
126.6215157625 1
< 0.1%
126.6232141562 1
< 0.1%
126.6233207011 2
< 0.1%
ValueCountFrequency (%)
127.6610453985 2
< 0.1%
127.6511865479 1
< 0.1%
127.6444677304 1
< 0.1%
127.6425698222 1
< 0.1%
127.64127488 1
< 0.1%
127.6401656492 1
< 0.1%
127.6383503873 1
< 0.1%
127.6377519697 1
< 0.1%
127.6374241967 1
< 0.1%
127.6373729111 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4373
Missing (%)100.0%
Memory size38.6 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct990
Distinct (%)93.3%
Missing3312
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean200125.23
Minimum166528.94
Maximum258476.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-11T07:32:42.647399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166528.94
5-th percentile177396.47
Q1185362.99
median203854.42
Q3210087.64
95-th percentile222154.13
Maximum258476.01
Range91947.062
Interquartile range (IQR)24724.641

Descriptive statistics

Standard deviation15609.266
Coefficient of variation (CV)0.07799749
Kurtosis0.3627295
Mean200125.23
Median Absolute Deviation (MAD)9465.8227
Skewness0.26214036
Sum2.1233287 × 108
Variance2.4364918 × 108
MonotonicityNot monotonic
2023-12-11T07:32:42.810854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205820.890952409 5
 
0.1%
205823.568119412 4
 
0.1%
196927.514875745 3
 
0.1%
204977.175329834 3
 
0.1%
189541.850018502 3
 
0.1%
193791.904846246 3
 
0.1%
201331.726637302 2
 
< 0.1%
192489.845087883 2
 
< 0.1%
180584.745469218 2
 
< 0.1%
213491.170141499 2
 
< 0.1%
Other values (980) 1032
 
23.6%
(Missing) 3312
75.7%
ValueCountFrequency (%)
166528.943804933 1
< 0.1%
166677.313331729 1
< 0.1%
166771.099693629 1
< 0.1%
166869.952050926 1
< 0.1%
166880.494792211 1
< 0.1%
166944.535484335 1
< 0.1%
167001.817108439 1
< 0.1%
167120.559776921 1
< 0.1%
167141.076745829 1
< 0.1%
168530.447392711 1
< 0.1%
ValueCountFrequency (%)
258476.005943628 1
< 0.1%
256798.37750552 1
< 0.1%
256499.196930763 1
< 0.1%
256457.345981873 1
< 0.1%
256445.185606916 1
< 0.1%
256010.78238898 1
< 0.1%
248263.026724303 1
< 0.1%
248188.415839041 1
< 0.1%
245705.353032984 1
< 0.1%
244698.347651322 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct990
Distinct (%)93.3%
Missing3312
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean434311.71
Minimum384197.91
Maximum497504.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-11T07:32:42.943609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384197.91
5-th percentile403143.29
Q1419119.02
median431342.62
Q3452787.89
95-th percentile469786.47
Maximum497504.87
Range113306.96
Interquartile range (IQR)33668.872

Descriptive statistics

Standard deviation21587.944
Coefficient of variation (CV)0.049706106
Kurtosis-0.50097344
Mean434311.71
Median Absolute Deviation (MAD)13596.093
Skewness0.18690435
Sum4.6080473 × 108
Variance4.6603932 × 108
MonotonicityNot monotonic
2023-12-11T07:32:43.086652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413028.454932076 5
 
0.1%
421057.602005781 4
 
0.1%
432715.711677824 3
 
0.1%
420627.234160383 3
 
0.1%
435187.738812827 3
 
0.1%
428646.603975883 3
 
0.1%
391652.010282968 2
 
< 0.1%
390622.280781973 2
 
< 0.1%
443178.892403722 2
 
< 0.1%
418778.755712447 2
 
< 0.1%
Other values (980) 1032
 
23.6%
(Missing) 3312
75.7%
ValueCountFrequency (%)
384197.910728595 1
< 0.1%
384640.769844224 1
< 0.1%
386402.267634178 1
< 0.1%
386750.488094867 1
< 0.1%
387196.777463375 1
< 0.1%
387245.900898112 1
< 0.1%
387444.196115272 1
< 0.1%
387747.535932765 2
< 0.1%
387760.895664779 1
< 0.1%
387765.947861508 1
< 0.1%
ValueCountFrequency (%)
497504.874918587 1
< 0.1%
494842.223278548 1
< 0.1%
488962.335901185 1
< 0.1%
487718.114551363 1
< 0.1%
487155.487074977 1
< 0.1%
485203.012122524 1
< 0.1%
483706.470349242 1
< 0.1%
481346.665149204 2
< 0.1%
480593.931464692 1
< 0.1%
480547.524073541 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
체력단련장업
4373 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 4373
100.0%

Length

2023-12-11T07:32:43.210454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:43.315693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 4373
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
사립
4371 
공립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 4371
> 99.9%
공립 2
 
< 0.1%

Length

2023-12-11T07:32:43.404102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:43.499229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 4371
> 99.9%
공립 2
 
< 0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4358 
Y
 
13
0
 
2

Length

Max length4
Median length4
Mean length3.9897096
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4358
99.7%
Y 13
 
0.3%
0 2
 
< 0.1%

Length

2023-12-11T07:32:43.597846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:43.730774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4358
99.7%
y 13
 
0.3%
0 2
 
< 0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3411 
0
959 
2
 
2
360
 
1

Length

Max length4
Median length4
Mean length3.3404985
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 3411
78.0%
0 959
 
21.9%
2 2
 
< 0.1%
360 1
 
< 0.1%

Length

2023-12-11T07:32:43.835149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:43.943548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3411
78.0%
0 959
 
21.9%
2 2
 
< 0.1%
360 1
 
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드회원모집총인원
0가평군뉴라온다이어트캠프2017-04-04<NA>13영업중<NA><NA><NA>12400경기도 가평군 북면 가화로 2901, 약속의섬레저타운경기도 가평군 북면 적목리 103-3 뉴라온다이어트캠프1240037.979258127.446335<NA>239140.034271497504.874919체력단련장업사립<NA>0
1가평군시골근육2023-11-22<NA>13영업중<NA><NA><NA>12465경기도 가평군 설악면 신천중앙로 150, 3,4층경기도 가평군 설악면 신천리 574-81246537.678059127.487594<NA>242938.956794464061.961424체력단련장업사립<NA>0
2가평군ON/OFF GYM2023-06-14<NA>13영업중<NA><NA><NA>12417경기도 가평군 가평읍 문화로 154, 새마을회관 2층경기도 가평군 가평읍 대곡리 318-41241737.826814127.508511<NA>244698.347651480593.931465체력단련장업사립<NA>0
3가평군Y휘트니스2017-11-16<NA>13영업중<NA><NA><NA>12452경기도 가평군 청평면 은고개로 36, 전주이씨도사공청평종중회관 3층경기도 가평군 청평면 청평리 333-9 전주이씨도사공청평종중회관1245237.738812127.423787<NA>237284.307899470790.410916체력단련장업사립<NA>0
4가평군고릴라 짐, NOW2023-07-24<NA>13영업중<NA><NA><NA>12427경기도 가평군 가평읍 북한강변로 917경기도 가평군 가평읍 이화리 9-201242737.798187127.519798<NA>245705.353033477431.009206체력단련장업사립<NA>0
5가평군BBMC헬스클럽20170113<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 석봉로 209 (준수대중목욕탕)경기도 가평군 가평읍 읍내리 637-6번지1241437.833817127.509273<NA><NA><NA>체력단련장업사립<NA><NA>
6가평군스페이스 헬스클럽20040209<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 경춘로 807-11경기도 가평군 청평면 청평리 445-3번지47781337.737888127.417023<NA><NA><NA>체력단련장업사립<NA><NA>
7가평군휘트니스 짐20100909<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 133경기도 가평군 가평읍 읍내리 452번지 2층47780537.831347127.512671<NA><NA><NA>체력단련장업사립<NA><NA>
8가평군몸짱휘트니스헬스장20060817<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 강변로 45-7경기도 가평군 청평면 청평리 82-7번지 강변로 45-747781537.734292127.417277<NA><NA><NA>체력단련장업사립<NA><NA>
9가평군Y휘트니스20171116<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 신천중앙로 130경기도 가평군 설악면 신천리 450-1번지1246537.678131127.489476<NA><NA><NA>체력단련장업사립<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드회원모집총인원
4363화성시대명헬스19930331<NA><NA>폐업 등20170405<NA><NA><NA>경기도 화성시 우정읍 3.1만세로 47경기도 화성시 우정읍 조암리 289번지1856737.082966126.818957<NA><NA><NA>체력단련장업사립<NA><NA>
4364화성시동양헬스19920904<NA><NA>폐업 등19951130<NA><NA><NA>경기도 화성시 향남읍 3.1만세로 1129경기도 화성시 향남읍 평리 31-1번지44593937.134014126.909965<NA><NA><NA>체력단련장업사립<NA><NA>
4365화성시비봉남녀헬스클럽20021005<NA><NA>폐업 등20090701<NA><NA><NA>경기도 화성시 비봉면 양노로 110 (2층)경기도 화성시 비봉면 양노리 254-11번지 2층44584237.236694126.873506<NA><NA><NA>체력단련장업사립<NA><NA>
4366화성시E.L.F. 헬스20021017<NA><NA>폐업 등20070328<NA><NA><NA>경기도 화성시 영통로61번길 6 (반월동,제일프라자 6층)경기도 화성시 반월동 864-1번지 제일프라자 6층44533037.235483127.061144<NA><NA><NA>체력단련장업사립<NA><NA>
4367화성시남양헬스20011029<NA><NA>폐업 등20150804<NA><NA><NA>경기도 화성시 남양시장로 99 (남양동,2층)경기도 화성시 남양읍 남양리 1273-1번지 2층44501037.210727126.819839<NA><NA><NA>체력단련장업사립<NA><NA>
4368화성시별장스포츠센터20000128<NA><NA>폐업 등20150923<NA><NA><NA>경기도 화성시 장안면 흥천길 84-34경기도 화성시 장안면 사곡리 736-4번지44594237.058097126.805109<NA><NA><NA>체력단련장업사립<NA><NA>
4369화성시당우헬스클럽19980808<NA><NA>폐업 등20010515<NA><NA><NA>경기도 화성시 경기대로 1037 (진안동)경기도 화성시 진안동 527-19번지44539037.20816127.034605<NA><NA><NA>체력단련장업사립<NA><NA>
4370화성시화성스포츠센터헬스장19980923<NA><NA>폐업 등20160315<NA><NA><NA>경기도 화성시 화산중앙로 18 (안녕동)경기도 화성시 안녕동 20-1번지44538037.205882127.014417<NA><NA><NA>체력단련장업사립<NA><NA>
4371화성시봉담헬스19950415<NA><NA>폐업 등20170316<NA><NA><NA>경기도 화성시 봉담읍 삼천병마로 1268경기도 화성시 봉담읍 상리 26-8번지44589137.219273126.948266<NA><NA><NA>체력단련장업사립<NA><NA>
4372화성시당우헬스클럽19950225<NA><NA>폐업 등19980810<NA><NA><NA>경기도 화성시 병점로 12 (병점동)경기도 화성시 병점동 347-14번지44536037.208871127.036719<NA><NA><NA>체력단련장업사립<NA><NA>