Overview

Dataset statistics

Number of variables24
Number of observations4326
Missing cells39405
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory857.7 KiB
Average record size in memory203.0 B

Variable types

Categorical7
Text6
DateTime2
Unsupported4
Numeric5

Dataset

Description골프 연습장업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=713RY08G3A3TSH85H2DT899077&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (79.4%)Imbalance
영업상태명 is highly imbalanced (51.6%)Imbalance
공사립구분명 is highly imbalanced (98.3%)Imbalance
보험가입여부코드 is highly imbalanced (93.9%)Imbalance
회원모집총인원 is highly imbalanced (86.0%)Imbalance
인허가취소일자 has 4326 (100.0%) missing valuesMissing
폐업일자 has 2830 (65.4%) missing valuesMissing
소재지시설전화번호 has 4086 (94.5%) missing valuesMissing
소재지면적정보 has 4326 (100.0%) missing valuesMissing
도로명우편번호 has 4012 (92.7%) missing valuesMissing
소재지도로명주소 has 155 (3.6%) missing valuesMissing
WGS84위도 has 80 (1.8%) missing valuesMissing
WGS84경도 has 80 (1.8%) missing valuesMissing
업태구분명정보 has 4326 (100.0%) missing valuesMissing
X좌표값 has 3998 (92.4%) missing valuesMissing
Y좌표값 has 3998 (92.4%) missing valuesMissing
건축물연면적(㎡) has 2850 (65.9%) missing valuesMissing
세부업종명 has 4326 (100.0%) missing valuesMissing
건축물연면적(㎡) is highly skewed (γ1 = 36.89389328)Skewed
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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적(㎡) has 199 (4.6%) zerosZeros

Reproduction

Analysis started2023-12-10 21:12:19.244647
Analysis finished2023-12-10 21:12:20.438339
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
고양시
428 
용인시
426 
수원시
366 
성남시
339 
부천시
 
248
Other values (27)
2519 

Length

Max length4
Median length3
Mean length3.0848359
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 428
 
9.9%
용인시 426
 
9.8%
수원시 366
 
8.5%
성남시 339
 
7.8%
부천시 248
 
5.7%
안산시 232
 
5.4%
화성시 220
 
5.1%
안양시 210
 
4.9%
남양주시 204
 
4.7%
시흥시 151
 
3.5%
Other values (22) 1502
34.7%

Length

2023-12-11T06:12:20.485909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 428
 
9.9%
용인시 426
 
9.8%
수원시 366
 
8.5%
성남시 339
 
7.8%
부천시 248
 
5.7%
안산시 232
 
5.4%
화성시 220
 
5.1%
안양시 210
 
4.9%
남양주시 204
 
4.7%
시흥시 151
 
3.5%
Other values (22) 1502
34.7%

사업장명
Text

Distinct3623
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2023-12-11T06:12:20.694325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length8.0067037
Min length2

Characters and Unicode

Total characters34637
Distinct characters603
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3169 ?
Unique (%)73.3%

Sample

1st row에코힐스크린골프
2nd row가평스크린골프
3rd row가평스마일골프연습장
4th row산천실내스크린골프연습장
5th row현리 스크린골프
ValueCountFrequency (%)
골프 247
 
4.0%
스크린골프 207
 
3.4%
스크린 205
 
3.3%
골프연습장 159
 
2.6%
골프존 143
 
2.3%
아카데미 69
 
1.1%
골프클럽 66
 
1.1%
골프아카데미 50
 
0.8%
휘트니스 36
 
0.6%
스크린골프존 31
 
0.5%
Other values (3564) 4909
80.2%
2023-12-11T06:12:21.065913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 3821
 
11.0%
골 3763
 
10.9%
스 2662
 
7.7%
크 1826
 
5.3%
1797
 
5.2%
린 1763
 
5.1%
장 844
 
2.4%
연 778
 
2.2%
습 766
 
2.2%
존 571
 
1.6%
Other values (593) 16046
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30086
86.9%
Space Separator 1797
 
5.2%
Uppercase Letter 1671
 
4.8%
Lowercase Letter 396
 
1.1%
Close Punctuation 189
 
0.5%
Open Punctuation 187
 
0.5%
Decimal Number 161
 
0.5%
Other Punctuation 108
 
0.3%
Dash Punctuation 35
 
0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 3821
 
12.7%
골 3763
 
12.5%
스 2662
 
8.8%
크 1826
 
6.1%
린 1763
 
5.9%
장 844
 
2.8%
연 778
 
2.6%
습 766
 
2.5%
존 571
 
1.9%
이 471
 
1.6%
Other values (515) 12821
42.6%
Uppercase Letter
ValueCountFrequency (%)
G 230
13.8%
S 194
 
11.6%
J 132
 
7.9%
P 115
 
6.9%
K 105
 
6.3%
A 99
 
5.9%
C 83
 
5.0%
O 72
 
4.3%
M 69
 
4.1%
B 51
 
3.1%
Other values (16) 521
31.2%
Lowercase Letter
ValueCountFrequency (%)
o 52
13.1%
e 34
 
8.6%
s 32
 
8.1%
r 31
 
7.8%
l 30
 
7.6%
n 28
 
7.1%
a 25
 
6.3%
i 21
 
5.3%
y 17
 
4.3%
u 16
 
4.0%
Other values (15) 110
27.8%
Decimal Number
ValueCountFrequency (%)
2 54
33.5%
1 26
16.1%
3 26
16.1%
4 13
 
8.1%
8 12
 
7.5%
0 9
 
5.6%
7 9
 
5.6%
9 5
 
3.1%
6 4
 
2.5%
5 3
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 54
50.0%
& 42
38.9%
' 6
 
5.6%
· 4
 
3.7%
＆ 1
 
0.9%
/ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 188
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 186
99.5%
[ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
~ 2
50.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 1
50.0%
㈜ 1
50.0%
Space Separator
ValueCountFrequency (%)
1797
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30086
86.9%
Common 2483
 
7.2%
Latin 2067
 
6.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 3821
 
12.7%
골 3763
 
12.5%
스 2662
 
8.8%
크 1826
 
6.1%
린 1763
 
5.9%
장 844
 
2.8%
연 778
 
2.6%
습 766
 
2.5%
존 571
 
1.9%
이 471
 
1.6%
Other values (515) 12821
42.6%
Latin
ValueCountFrequency (%)
G 230
 
11.1%
S 194
 
9.4%
J 132
 
6.4%
P 115
 
5.6%
K 105
 
5.1%
A 99
 
4.8%
C 83
 
4.0%
O 72
 
3.5%
M 69
 
3.3%
o 52
 
2.5%
Other values (41) 916
44.3%
Common
ValueCountFrequency (%)
1797
72.4%
) 188
 
7.6%
( 186
 
7.5%
. 54
 
2.2%
2 54
 
2.2%
& 42
 
1.7%
- 35
 
1.4%
1 26
 
1.0%
3 26
 
1.0%
4 13
 
0.5%
Other values (16) 62
 
2.5%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30084
86.9%
ASCII 4544
 
13.1%
None 6
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 3821
 
12.7%
골 3763
 
12.5%
스 2662
 
8.8%
크 1826
 
6.1%
린 1763
 
5.9%
장 844
 
2.8%
연 778
 
2.6%
습 766
 
2.5%
존 571
 
1.9%
이 471
 
1.6%
Other values (513) 12819
42.6%
ASCII
ValueCountFrequency (%)
1797
39.5%
G 230
 
5.1%
S 194
 
4.3%
) 188
 
4.1%
( 186
 
4.1%
J 132
 
2.9%
P 115
 
2.5%
K 105
 
2.3%
A 99
 
2.2%
C 83
 
1.8%
Other values (64) 1415
31.1%
None
ValueCountFrequency (%)
· 4
66.7%
＆ 1
 
16.7%
㈜ 1
 
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

인허가일자
Date

Distinct2650
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
Minimum1989-12-27 00:00:00
Maximum2023-11-28 00:00:00
2023-12-11T06:12:21.201957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:21.436675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
<NA>
3984 
13
 
238
3
 
96
35
 
7
2
 
1

Length

Max length4
Median length4
Mean length3.8194637
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3984
92.1%
13 238
 
5.5%
3 96
 
2.2%
35 7
 
0.2%
2 1
 
< 0.1%

Length

2023-12-11T06:12:21.576817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:21.755432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3984
92.1%
13 238
 
5.5%
3 96
 
2.2%
35 7
 
0.2%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
운영중
2580 
폐업 등
1395 
영업중
 
238
폐업
 
96
휴업 등
 
9
Other values (2)
 
8

Length

Max length4
Median length3
Mean length3.3037448
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2580
59.6%
폐업 등 1395
32.2%
영업중 238
 
5.5%
폐업 96
 
2.2%
휴업 등 9
 
0.2%
직권말소 7
 
0.2%
휴업 1
 
< 0.1%

Length

2023-12-11T06:12:21.907623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:22.042600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2580
45.0%
폐업 1491
26.0%
등 1404
24.5%
영업중 238
 
4.2%
휴업 10
 
0.2%
직권말소 7
 
0.1%

폐업일자
Date

MISSING 

Distinct1109
Distinct (%)74.1%
Missing2830
Missing (%)65.4%
Memory size33.9 KiB
Minimum1994-04-26 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:12:22.165860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:22.342690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct240
Distinct (%)100.0%
Missing4086
Missing (%)94.5%
Memory size33.9 KiB
2023-12-11T06:12:22.652776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.054167
Min length8

Characters and Unicode

Total characters2653
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

Unique240 ?
Unique (%)100.0%

Sample

1st row031-903-6333
2nd row930-7500
3rd row031-930-9100
4th row031-922-0726
5th row906-8853
ValueCountFrequency (%)
031-903-6333 1
 
0.4%
031-979-0321 1
 
0.4%
031-214-6009 1
 
0.4%
031-882-9997 1
 
0.4%
031-372-0507 1
 
0.4%
031-8077-4750 1
 
0.4%
376-6662 1
 
0.4%
031-378-0029 1
 
0.4%
031-378-3545 1
 
0.4%
031-274-2100 1
 
0.4%
Other values (230) 230
95.8%
2023-12-11T06:12:23.080451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 421
15.9%
0 409
15.4%
3 327
12.3%
1 314
11.8%
2 226
8.5%
7 223
8.4%
8 173
6.5%
5 170
6.4%
9 159
 
6.0%
4 129
 
4.9%
Other values (2) 102
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2231
84.1%
Dash Punctuation 421
 
15.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 409
18.3%
3 327
14.7%
1 314
14.1%
2 226
10.1%
7 223
10.0%
8 173
7.8%
5 170
7.6%
9 159
 
7.1%
4 129
 
5.8%
6 101
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 421
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 421
15.9%
0 409
15.4%
3 327
12.3%
1 314
11.8%
2 226
8.5%
7 223
8.4%
8 173
6.5%
5 170
6.4%
9 159
 
6.0%
4 129
 
4.9%
Other values (2) 102
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 421
15.9%
0 409
15.4%
3 327
12.3%
1 314
11.8%
2 226
8.5%
7 223
8.4%
8 173
6.5%
5 170
6.4%
9 159
 
6.0%
4 129
 
4.9%
Other values (2) 102
 
3.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.2 KiB

도로명우편번호
Text

MISSING 

Distinct281
Distinct (%)89.5%
Missing4012
Missing (%)92.7%
Memory size33.9 KiB
2023-12-11T06:12:23.514328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0191083
Min length5

Characters and Unicode

Total characters1576
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

Unique254 ?
Unique (%)80.9%

Sample

1st row10301
2nd row10486
3rd row10293
4th row10212
5th row10595
ValueCountFrequency (%)
17006 4
 
1.3%
11757 3
 
1.0%
14548 3
 
1.0%
14546 3
 
1.0%
13920 3
 
1.0%
13558 2
 
0.6%
15825 2
 
0.6%
16953 2
 
0.6%
11800 2
 
0.6%
11803 2
 
0.6%
Other values (271) 288
91.7%
2023-12-11T06:12:24.137469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 432
27.4%
0 158
 
10.0%
5 158
 
10.0%
6 151
 
9.6%
2 139
 
8.8%
4 133
 
8.4%
7 106
 
6.7%
9 101
 
6.4%
8 98
 
6.2%
3 97
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1573
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 432
27.5%
0 158
 
10.0%
5 158
 
10.0%
6 151
 
9.6%
2 139
 
8.8%
4 133
 
8.5%
7 106
 
6.7%
9 101
 
6.4%
8 98
 
6.2%
3 97
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 432
27.4%
0 158
 
10.0%
5 158
 
10.0%
6 151
 
9.6%
2 139
 
8.8%
4 133
 
8.4%
7 106
 
6.7%
9 101
 
6.4%
8 98
 
6.2%
3 97
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 432
27.4%
0 158
 
10.0%
5 158
 
10.0%
6 151
 
9.6%
2 139
 
8.8%
4 133
 
8.4%
7 106
 
6.7%
9 101
 
6.4%
8 98
 
6.2%
3 97
 
6.2%

소재지도로명주소
Text

MISSING 

Distinct3842
Distinct (%)92.1%
Missing155
Missing (%)3.6%
Memory size33.9 KiB
2023-12-11T06:12:24.491875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length55
Mean length31.22081
Min length14

Characters and Unicode

Total characters130222
Distinct characters567
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3529 ?
Unique (%)84.6%

Sample

1st row경기도 가평군 설악면 신천중앙로120번길 6-46
2nd row경기도 가평군 가평읍 가화로 372, 가평스크린골프
3rd row경기도 가평군 가평읍 가화로 372, 가평스마일골프연습장
4th row경기도 가평군 조종면 청군로 1285
5th row경기도 가평군 하면 성터길 4
ValueCountFrequency (%)
경기도 4171
 
15.6%
고양시 412
 
1.5%
용인시 410
 
1.5%
수원시 354
 
1.3%
성남시 331
 
1.2%
2층 289
 
1.1%
부천시 244
 
0.9%
분당구 244
 
0.9%
안산시 224
 
0.8%
화성시 207
 
0.8%
Other values (5638) 19885
74.3%
2023-12-11T06:12:25.073728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23394
 
18.0%
1 4469
 
3.4%
기 4464
 
3.4%
시 4389
 
3.4%
경 4384
 
3.4%
동 4373
 
3.4%
도 4328
 
3.3%
로 4014
 
3.1%
, 3981
 
3.1%
( 3663
 
2.8%
Other values (557) 68763
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72617
55.8%
Space Separator 23394
 
18.0%
Decimal Number 21570
 
16.6%
Other Punctuation 4020
 
3.1%
Open Punctuation 3663
 
2.8%
Close Punctuation 3662
 
2.8%
Dash Punctuation 677
 
0.5%
Uppercase Letter 388
 
0.3%
Math Symbol 202
 
0.2%
Lowercase Letter 21
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4464
 
6.1%
시 4389
 
6.0%
경 4384
 
6.0%
동 4373
 
6.0%
도 4328
 
6.0%
로 4014
 
5.5%
구 2186
 
3.0%
호 1569
 
2.2%
층 1526
 
2.1%
양 1333
 
1.8%
Other values (496) 40051
55.2%
Uppercase Letter
ValueCountFrequency (%)
B 160
41.2%
A 41
 
10.6%
C 33
 
8.5%
S 22
 
5.7%
I 19
 
4.9%
G 18
 
4.6%
R 10
 
2.6%
K 10
 
2.6%
L 9
 
2.3%
T 8
 
2.1%
Other values (15) 58
 
14.9%
Lowercase Letter
ValueCountFrequency (%)
b 6
28.6%
o 4
19.0%
a 2
 
9.5%
y 2
 
9.5%
k 1
 
4.8%
e 1
 
4.8%
n 1
 
4.8%
h 1
 
4.8%
c 1
 
4.8%
m 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 4469
20.7%
2 3114
14.4%
0 2814
13.0%
3 2333
10.8%
4 1879
8.7%
5 1703
 
7.9%
6 1530
 
7.1%
7 1416
 
6.6%
8 1199
 
5.6%
9 1113
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 3981
99.0%
. 28
 
0.7%
/ 6
 
0.1%
· 4
 
0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅲ 1
 
14.3%
Ⅰ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 201
99.5%
∼ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
23394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3663
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 677
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72617
55.8%
Common 57189
43.9%
Latin 416
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4464
 
6.1%
시 4389
 
6.0%
경 4384
 
6.0%
동 4373
 
6.0%
도 4328
 
6.0%
로 4014
 
5.5%
구 2186
 
3.0%
호 1569
 
2.2%
층 1526
 
2.1%
양 1333
 
1.8%
Other values (496) 40051
55.2%
Latin
ValueCountFrequency (%)
B 160
38.5%
A 41
 
9.9%
C 33
 
7.9%
S 22
 
5.3%
I 19
 
4.6%
G 18
 
4.3%
R 10
 
2.4%
K 10
 
2.4%
L 9
 
2.2%
T 8
 
1.9%
Other values (29) 86
20.7%
Common
ValueCountFrequency (%)
23394
40.9%
1 4469
 
7.8%
, 3981
 
7.0%
( 3663
 
6.4%
) 3662
 
6.4%
2 3114
 
5.4%
0 2814
 
4.9%
3 2333
 
4.1%
4 1879
 
3.3%
5 1703
 
3.0%
Other values (12) 6177
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72608
55.8%
ASCII 57592
44.2%
Compat Jamo 9
 
< 0.1%
Number Forms 7
 
< 0.1%
None 4
 
< 0.1%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23394
40.6%
1 4469
 
7.8%
, 3981
 
6.9%
( 3663
 
6.4%
) 3662
 
6.4%
2 3114
 
5.4%
0 2814
 
4.9%
3 2333
 
4.1%
4 1879
 
3.3%
5 1703
 
3.0%
Other values (45) 6580
 
11.4%
Hangul
ValueCountFrequency (%)
기 4464
 
6.1%
시 4389
 
6.0%
경 4384
 
6.0%
동 4373
 
6.0%
도 4328
 
6.0%
로 4014
 
5.5%
구 2186
 
3.0%
호 1569
 
2.2%
층 1526
 
2.1%
양 1333
 
1.8%
Other values (494) 40042
55.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
88.9%
ㅊ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅲ 1
 
14.3%
Ⅰ 1
 
14.3%
None
ValueCountFrequency (%)
· 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

소재지지번주소
Text

Distinct4144
Distinct (%)95.9%
Missing3
Missing (%)0.1%
Memory size33.9 KiB
2023-12-11T06:12:25.427841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length54
Mean length27.307657
Min length10

Characters and Unicode

Total characters118051
Distinct characters515
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3981 ?
Unique (%)92.1%

Sample

1st row경기도 가평군 설악면 신천리 418-9번지
2nd row경기도 가평군 가평읍 마장리 718-1번지
3rd row경기도 가평군 가평읍 마장리 718-1번지
4th row경기도 가평군 조종면 현리 296-3번지
5th row경기도 가평군 하면 현리 197-4번지
ValueCountFrequency (%)
경기도 4323
 
17.4%
고양시 428
 
1.7%
용인시 426
 
1.7%
수원시 366
 
1.5%
성남시 339
 
1.4%
2층 297
 
1.2%
부천시 248
 
1.0%
분당구 248
 
1.0%
안산시 232
 
0.9%
화성시 220
 
0.9%
Other values (6160) 17753
71.4%
2023-12-11T06:12:25.969412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20855
 
17.7%
1 5036
 
4.3%
지 4674
 
4.0%
기 4563
 
3.9%
시 4485
 
3.8%
도 4463
 
3.8%
동 4348
 
3.7%
경 4343
 
3.7%
번 3929
 
3.3%
- 3415
 
2.9%
Other values (505) 57940
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68095
57.7%
Decimal Number 24372
 
20.6%
Space Separator 20855
 
17.7%
Dash Punctuation 3415
 
2.9%
Other Punctuation 633
 
0.5%
Uppercase Letter 338
 
0.3%
Math Symbol 142
 
0.1%
Open Punctuation 96
 
0.1%
Close Punctuation 96
 
0.1%
Letter Number 5
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4674
 
6.9%
기 4563
 
6.7%
시 4485
 
6.6%
도 4463
 
6.6%
동 4348
 
6.4%
경 4343
 
6.4%
번 3929
 
5.8%
구 2191
 
3.2%
호 1522
 
2.2%
층 1404
 
2.1%
Other values (453) 32173
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 157
46.4%
A 39
 
11.5%
C 28
 
8.3%
S 20
 
5.9%
G 12
 
3.6%
I 12
 
3.6%
D 9
 
2.7%
K 8
 
2.4%
R 6
 
1.8%
W 6
 
1.8%
Other values (13) 41
 
12.1%
Decimal Number
ValueCountFrequency (%)
1 5036
20.7%
2 3282
13.5%
0 2779
11.4%
3 2444
10.0%
4 2315
9.5%
5 2117
8.7%
6 1805
 
7.4%
7 1790
 
7.3%
8 1497
 
6.1%
9 1307
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 599
94.6%
. 20
 
3.2%
/ 7
 
1.1%
· 4
 
0.6%
@ 2
 
0.3%
& 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
a 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 140
98.6%
∼ 2
 
1.4%
Space Separator
ValueCountFrequency (%)
20855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3415
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68095
57.7%
Common 49610
42.0%
Latin 346
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4674
 
6.9%
기 4563
 
6.7%
시 4485
 
6.6%
도 4463
 
6.6%
동 4348
 
6.4%
경 4343
 
6.4%
번 3929
 
5.8%
구 2191
 
3.2%
호 1522
 
2.2%
층 1404
 
2.1%
Other values (453) 32173
47.2%
Latin
ValueCountFrequency (%)
B 157
45.4%
A 39
 
11.3%
C 28
 
8.1%
S 20
 
5.8%
G 12
 
3.5%
I 12
 
3.5%
D 9
 
2.6%
K 8
 
2.3%
R 6
 
1.7%
W 6
 
1.7%
Other values (19) 49
 
14.2%
Common
ValueCountFrequency (%)
20855
42.0%
1 5036
 
10.2%
- 3415
 
6.9%
2 3282
 
6.6%
0 2779
 
5.6%
3 2444
 
4.9%
4 2315
 
4.7%
5 2117
 
4.3%
6 1805
 
3.6%
7 1790
 
3.6%
Other values (13) 3772
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68086
57.7%
ASCII 49944
42.3%
Compat Jamo 9
 
< 0.1%
Number Forms 5
 
< 0.1%
None 4
 
< 0.1%
Math Operators 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20855
41.8%
1 5036
 
10.1%
- 3415
 
6.8%
2 3282
 
6.6%
0 2779
 
5.6%
3 2444
 
4.9%
4 2315
 
4.6%
5 2117
 
4.2%
6 1805
 
3.6%
7 1790
 
3.6%
Other values (36) 4106
 
8.2%
Hangul
ValueCountFrequency (%)
지 4674
 
6.9%
기 4563
 
6.7%
시 4485
 
6.6%
도 4463
 
6.6%
동 4348
 
6.4%
경 4343
 
6.4%
번 3929
 
5.8%
구 2191
 
3.2%
호 1522
 
2.2%
층 1404
 
2.1%
Other values (451) 32164
47.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
88.9%
ㅊ 1
 
11.1%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지우편번호
Text

Distinct2028
Distinct (%)47.0%
Missing9
Missing (%)0.2%
Memory size33.9 KiB
2023-12-11T06:12:26.352155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.720176
Min length5

Characters and Unicode

Total characters24694
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

Unique1151 ?
Unique (%)26.7%

Sample

1st row477853
2nd row12409
3rd row12409
4th row12438
5th row477832
ValueCountFrequency (%)
410837 41
 
0.9%
420852 25
 
0.6%
425906 22
 
0.5%
445160 20
 
0.5%
425807 20
 
0.5%
425856 18
 
0.4%
412827 17
 
0.4%
420861 16
 
0.4%
429874 16
 
0.4%
420862 16
 
0.4%
Other values (2018) 4106
95.1%
2023-12-11T06:12:26.885609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5075
20.6%
1 3596
14.6%
8 2963
12.0%
0 2703
10.9%
2 2350
9.5%
3 1977
 
8.0%
5 1777
 
7.2%
6 1713
 
6.9%
7 1349
 
5.5%
9 1088
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24591
99.6%
Dash Punctuation 103
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5075
20.6%
1 3596
14.6%
8 2963
12.0%
0 2703
11.0%
2 2350
9.6%
3 1977
 
8.0%
5 1777
 
7.2%
6 1713
 
7.0%
7 1349
 
5.5%
9 1088
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5075
20.6%
1 3596
14.6%
8 2963
12.0%
0 2703
10.9%
2 2350
9.5%
3 1977
 
8.0%
5 1777
 
7.2%
6 1713
 
6.9%
7 1349
 
5.5%
9 1088
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5075
20.6%
1 3596
14.6%
8 2963
12.0%
0 2703
10.9%
2 2350
9.5%
3 1977
 
8.0%
5 1777
 
7.2%
6 1713
 
6.9%
7 1349
 
5.5%
9 1088
 
4.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct3273
Distinct (%)77.1%
Missing80
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean37.431103
Minimum36.954054
Maximum38.087904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2023-12-11T06:12:27.038892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.954054
5-th percentile37.129061
Q137.290843
median37.387158
Q337.616033
95-th percentile37.761424
Maximum38.087904
Range1.1338501
Interquartile range (IQR)0.32518956

Descriptive statistics

Standard deviation0.20610368
Coefficient of variation (CV)0.0055062145
Kurtosis-0.47140769
Mean37.431103
Median Absolute Deviation (MAD)0.12237082
Skewness0.25109793
Sum158932.46
Variance0.042478728
MonotonicityNot monotonic
2023-12-11T06:12:27.189582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3479730957 5
 
0.1%
37.3185724474 5
 
0.1%
37.7086624524 5
 
0.1%
37.6607585379 5
 
0.1%
37.6693807341 5
 
0.1%
37.577145311 5
 
0.1%
37.7336752148 5
 
0.1%
37.2971310229 5
 
0.1%
37.5077425183 5
 
0.1%
37.3198435021 5
 
0.1%
Other values (3263) 4196
97.0%
(Missing) 80
 
1.8%
ValueCountFrequency (%)
36.9540536717 1
< 0.1%
36.9541890474 2
< 0.1%
36.9545527341 2
< 0.1%
36.9556394642 1
< 0.1%
36.9636615555 1
< 0.1%
36.9673346487 1
< 0.1%
36.9693094869 1
< 0.1%
36.9747927279 2
< 0.1%
36.9760325473 1
< 0.1%
36.9786795345 2
< 0.1%
ValueCountFrequency (%)
38.0879037479 1
< 0.1%
38.0828123783 1
< 0.1%
38.0812300279 1
< 0.1%
38.0371210622 1
< 0.1%
38.0369755207 1
< 0.1%
38.0264834259 1
< 0.1%
38.0220568931 2
< 0.1%
38.017458065 1
< 0.1%
38.0027182027 1
< 0.1%
37.9587528035 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct3273
Distinct (%)77.1%
Missing80
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean127.00921
Minimum126.56494
Maximum127.69663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2023-12-11T06:12:27.374673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56494
5-th percentile126.74694
Q1126.83248
median127.03927
Q3127.12635
95-th percentile127.30859
Maximum127.69663
Range1.1316867
Interquartile range (IQR)0.29387145

Descriptive statistics

Standard deviation0.19097902
Coefficient of variation (CV)0.0015036628
Kurtosis0.27255281
Mean127.00921
Median Absolute Deviation (MAD)0.11980506
Skewness0.45090803
Sum539281.09
Variance0.036472986
MonotonicityNot monotonic
2023-12-11T06:12:27.538255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7221379802 5
 
0.1%
126.8380322844 5
 
0.1%
127.1178739866 5
 
0.1%
126.7658801073 5
 
0.1%
126.7638789033 5
 
0.1%
127.2197255303 5
 
0.1%
127.0587767255 5
 
0.1%
126.9937659478 5
 
0.1%
126.7506585785 5
 
0.1%
127.1152126301 5
 
0.1%
Other values (3263) 4196
97.0%
(Missing) 80
 
1.8%
ValueCountFrequency (%)
126.5649396805 1
< 0.1%
126.5731164837 1
< 0.1%
126.5864818952 1
< 0.1%
126.5912050445 1
< 0.1%
126.591809777 1
< 0.1%
126.5987730066 2
< 0.1%
126.598857201 1
< 0.1%
126.5992579515 1
< 0.1%
126.5995411656 1
< 0.1%
126.605168855 1
< 0.1%
ValueCountFrequency (%)
127.6966263535 1
 
< 0.1%
127.6886559875 1
 
< 0.1%
127.6529097556 1
 
< 0.1%
127.6497639185 1
 
< 0.1%
127.6490261481 1
 
< 0.1%
127.6453975923 1
 
< 0.1%
127.6450606674 1
 
< 0.1%
127.643553487 3
0.1%
127.642875651 1
 
< 0.1%
127.6414187223 1
 
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.2 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct322
Distinct (%)98.2%
Missing3998
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean201888.7
Minimum164541.28
Maximum257105.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2023-12-11T06:12:27.918565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164541.28
5-th percentile178694.39
Q1187779.34
median204615.99
Q3210866.91
95-th percentile224032.64
Maximum257105.7
Range92564.419
Interquartile range (IQR)23087.567

Descriptive statistics

Standard deviation16063.214
Coefficient of variation (CV)0.079564698
Kurtosis0.56707873
Mean201888.7
Median Absolute Deviation (MAD)9000.1859
Skewness0.34010748
Sum66219495
Variance2.5802684 × 108
MonotonicityNot monotonic
2023-12-11T06:12:28.077126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211018.322718623 2
 
< 0.1%
213404.541771785 2
 
< 0.1%
199779.095379441 2
 
< 0.1%
217182.112050655 2
 
< 0.1%
224032.637173279 2
 
< 0.1%
209642.080025029 2
 
< 0.1%
257105.7020965 1
 
< 0.1%
206698.825871309 1
 
< 0.1%
207880.284463257 1
 
< 0.1%
211193.383898505 1
 
< 0.1%
Other values (312) 312
 
7.2%
(Missing) 3998
92.4%
ValueCountFrequency (%)
164541.282886023 1
< 0.1%
165639.149530017 1
< 0.1%
166869.952050926 1
< 0.1%
172705.794349758 1
< 0.1%
175300.492202442 1
< 0.1%
175941.924905526 1
< 0.1%
176342.013912877 1
< 0.1%
176438.124351869 1
< 0.1%
176491.82377093 1
< 0.1%
176990.370237171 1
< 0.1%
ValueCountFrequency (%)
257105.7020965 1
< 0.1%
256051.384966635 1
< 0.1%
254029.608251978 1
< 0.1%
248188.415839041 1
< 0.1%
246691.101573548 1
< 0.1%
243571.375247785 1
< 0.1%
243422.963897795 1
< 0.1%
240883.535746466 1
< 0.1%
239980.645014409 1
< 0.1%
238890.819249311 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct322
Distinct (%)98.2%
Missing3998
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean439977.98
Minimum383618.06
Maximum508933.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2023-12-11T06:12:28.217111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383618.06
5-th percentile403845.54
Q1420200.46
median434245.95
Q3462447.41
95-th percentile472443.91
Maximum508933.95
Range125315.88
Interquartile range (IQR)42246.949

Descriptive statistics

Standard deviation24291.679
Coefficient of variation (CV)0.055211125
Kurtosis-0.8309851
Mean439977.98
Median Absolute Deviation (MAD)17933.47
Skewness0.0064399161
Sum1.4431278 × 108
Variance5.9008568 × 108
MonotonicityNot monotonic
2023-12-11T06:12:28.370920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461582.161058279 2
 
< 0.1%
419427.231815975 2
 
< 0.1%
417611.565377364 2
 
< 0.1%
451252.615542176 2
 
< 0.1%
457406.355513147 2
 
< 0.1%
469598.051473697 2
 
< 0.1%
423536.224114411 1
 
< 0.1%
418302.265469101 1
 
< 0.1%
416527.858552775 1
 
< 0.1%
418884.683853494 1
 
< 0.1%
Other values (312) 312
 
7.2%
(Missing) 3998
92.4%
ValueCountFrequency (%)
383618.061644806 1
< 0.1%
383633.464517037 1
< 0.1%
386375.291219752 1
< 0.1%
387582.130039719 1
< 0.1%
387891.399655891 1
< 0.1%
388925.793714913 1
< 0.1%
389528.189412965 1
< 0.1%
389751.864774782 1
< 0.1%
389837.195223983 1
< 0.1%
390283.301922059 1
< 0.1%
ValueCountFrequency (%)
508933.945335519 1
< 0.1%
495058.548763718 1
< 0.1%
487991.093948249 1
< 0.1%
484015.290661758 1
< 0.1%
483821.174546587 1
< 0.1%
481881.110359681 1
< 0.1%
481696.215481774 1
< 0.1%
480897.16852521 1
< 0.1%
479644.205879272 1
< 0.1%
478104.571385278 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
골프연습장업
4326 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 4326
100.0%

Length

2023-12-11T06:12:28.520364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:28.631052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 4326
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
사립
4319 
공립
 
7

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 4319
99.8%
공립 7
 
0.2%

Length

2023-12-11T06:12:28.730742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:28.830756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 4319
99.8%
공립 7
 
0.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
<NA>
4273 
Y
 
52
0
 
1

Length

Max length4
Median length4
Mean length3.9632455
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4273
98.8%
Y 52
 
1.2%
0 1
 
< 0.1%

Length

2023-12-11T06:12:28.961989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:29.076758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4273
98.8%
y 52
 
1.2%
0 1
 
< 0.1%

건축물연면적(㎡)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1145
Distinct (%)77.6%
Missing2850
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean23609.557
Minimum0
Maximum21843420
Zeros199
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size38.2 KiB
2023-12-11T06:12:29.220558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1327.615
median1051.79
Q34298.2625
95-th percentile18797.107
Maximum21843420
Range21843420
Interquartile range (IQR)3970.6475

Descriptive statistics

Standard deviation576676.31
Coefficient of variation (CV)24.425546
Kurtosis1392.7629
Mean23609.557
Median Absolute Deviation (MAD)1051.79
Skewness36.893893
Sum34847706
Variance3.3255557 × 1011
MonotonicityNot monotonic
2023-12-11T06:12:29.370879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 199
 
4.6%
1881.85 3
 
0.1%
255.0 3
 
0.1%
2375.87 3
 
0.1%
196.0 3
 
0.1%
2382.42 3
 
0.1%
783.0 3
 
0.1%
490.2 3
 
0.1%
4983.61 3
 
0.1%
7143.28 3
 
0.1%
Other values (1135) 1250
28.9%
(Missing) 2850
65.9%
ValueCountFrequency (%)
0.0 199
4.6%
3.6 1
 
< 0.1%
11.56 1
 
< 0.1%
14.0 1
 
< 0.1%
26.28 2
 
< 0.1%
63.0 1
 
< 0.1%
63.98 1
 
< 0.1%
82.74 1
 
< 0.1%
85.5 1
 
< 0.1%
92.4 1
 
< 0.1%
ValueCountFrequency (%)
21843420.0 1
< 0.1%
2698421.0 1
< 0.1%
2437969.0 1
< 0.1%
563130.0 2
< 0.1%
384772.57 1
< 0.1%
198696.99 1
< 0.1%
136921.52 1
< 0.1%
136465.53 1
< 0.1%
94662.48 1
< 0.1%
91858.0 1
< 0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
<NA>
4077 
0
 
246
480
 
1
1000
 
1
200
 
1

Length

Max length4
Median length4
Mean length3.8289413
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4077
94.2%
0 246
 
5.7%
480 1
 
< 0.1%
1000 1
 
< 0.1%
200 1
 
< 0.1%

Length

2023-12-11T06:12:29.493827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:29.627597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4077
94.2%
0 246
 
5.7%
480 1
 
< 0.1%
1000 1
 
< 0.1%
200 1
 
< 0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.2 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드건축물연면적(㎡)회원모집총인원세부업종명
0가평군에코힐스크린골프20131122<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 신천중앙로120번길 6-46경기도 가평군 설악면 신천리 418-9번지47785337.678086127.493026<NA><NA><NA>골프연습장업사립<NA>1589.01<NA><NA>
1가평군가평스크린골프20180621<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 372, 가평스크린골프경기도 가평군 가평읍 마장리 718-1번지1240937.85124127.506877<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
2가평군가평스마일골프연습장20180621<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 372, 가평스마일골프연습장경기도 가평군 가평읍 마장리 718-1번지1240937.85124127.506877<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
3가평군산천실내스크린골프연습장20171121<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 청군로 1285경기도 가평군 조종면 현리 296-3번지1243837.818891127.346216<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4가평군현리 스크린골프20120607<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 성터길 4경기도 가평군 하면 현리 197-4번지47783237.823529127.34324<NA><NA><NA>골프연습장업사립<NA>728.0<NA><NA>
5가평군지교20101213<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 유명로 1609경기도 가평군 설악면 신천리 661-2번지47785337.673101127.48654<NA><NA><NA>골프연습장업사립<NA>923.34<NA><NA>
6가평군화이스톤 골프연습장20090205<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 에덴벚꽃길 139경기도 가평군 청평면 상천리 1624-2번지1244937.785532127.477036<NA><NA><NA>골프연습장업사립<NA>5793.94<NA><NA>
7가평군썬힐골프클럽19991004<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 운악청계로 809 (썬힐골프클럽)경기도 가평군 조종면 운악리 산 144-1번지1243237.878525127.348548<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
8가평군베스트스크린골프20131202<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 청군로 1307경기도 가평군 하면 현리 318-1번지47783437.820593127.345099<NA><NA><NA>골프연습장업사립<NA>438.6<NA><NA>
9가평군가평골프존20130730<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 보납로 41경기도 가평군 가평읍 읍내리 426-6번지47780137.831446127.515034<NA><NA><NA>골프연습장업사립<NA>492.2<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드건축물연면적(㎡)회원모집총인원세부업종명
4316화성시남양실내 골프연습장20120410<NA><NA>폐업 등20141117<NA><NA><NA>경기도 화성시 남양시장로 92 (남양동)경기도 화성시 남양읍 남양리 1268-2번지44501037.210011126.819203<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4317화성시향남골프클럽20100813<NA><NA>폐업 등20141013<NA><NA><NA>경기도 화성시 향남읍 행정중앙2로 33 (성지프라자 502호)경기도 화성시 향남읍 행정리 435-2번지 성지프라자 502호44592637.130012126.919149<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4318화성시수정스크린20110512<NA><NA>폐업 등20180306<NA><NA><NA>경기도 화성시 삼성1로 284-16 (반월동)경기도 화성시 반월동 364-5번지44533037.227788127.071819<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4319화성시기안스크린골프20110127<NA><NA>폐업 등20150625<NA><NA><NA>경기도 화성시 효행로 223, 4층 (기안동, 대원빌딩)경기도 화성시 기안동 333-6번지44531037.227836126.971887<NA><NA><NA>골프연습장업사립<NA>2848.81<NA><NA>
4320화성시J 스크린 골프20101111<NA><NA>폐업 등20170316<NA><NA><NA>경기도 화성시 봉담읍 삼천병마로 982 (2층)경기도 화성시 봉담읍 왕림리 294-2번지 2층44590637.195419126.939944<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4321화성시황제스크린골프20090527<NA><NA>폐업 등20140402<NA><NA><NA>경기도 화성시 남양성지로 119 (남양동,성지빌딩 4층)경기도 화성시 남양읍 남양리 1172-3번지 성지빌딩 4층44501037.207933126.816743<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4322화성시O.K 스크린골프20090406<NA><NA>폐업 등20130423<NA><NA><NA>경기도 화성시 마도공단로 26 (남양동)경기도 화성시 남양읍 남양리 380-20번지44501037.201452126.798388<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4323화성시만남 골프존20130419<NA><NA>폐업 등20160722<NA><NA><NA>경기도 화성시 마도면 두곡서길 48-2 (1,2)층경기도 화성시 마도면 두곡리 402-5번지 (1,2층)44586237.205609126.779147<NA><NA><NA>골프연습장업사립<NA>537.38<NA><NA>
4324화성시투온스크린골프장20130111<NA><NA>폐업 등20140819<NA><NA><NA>경기도 화성시 동탄지성로 320 (반월동, 신풍프라자 201,202호)경기도 화성시 반월동 717-1번지 신풍프라자 201,202호44533037.222159127.051145<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>
4325화성시이글골프존20130204<NA><NA>폐업 등20141113<NA><NA><NA>경기도 화성시 남양성지로 99 (남양동)경기도 화성시 남양읍 남양리 670-4번지44501037.207641126.814683<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA>