Overview

Dataset statistics

Number of variables31
Number of observations665
Missing cells4865
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory174.8 KiB
Average record size in memory269.2 B

Variable types

Categorical15
Text4
DateTime2
Unsupported5
Numeric5

Dataset

Description비디오물감상실업 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QEPW2UJ8LKGSXPGHL4FR13748784&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (96.3%)Imbalance
영업상태명 is highly imbalanced (67.0%)Imbalance
도로명우편번호 is highly imbalanced (98.4%)Imbalance
X좌표값 is highly imbalanced (97.9%)Imbalance
Y좌표값 is highly imbalanced (97.9%)Imbalance
총층수 is highly imbalanced (96.9%)Imbalance
지상층수 is highly imbalanced (96.9%)Imbalance
지하층수 is highly imbalanced (96.3%)Imbalance
조명시설조도량 is highly imbalanced (95.8%)Imbalance
노래방실수 is highly imbalanced (95.8%)Imbalance
청소년실수 is highly imbalanced (95.8%)Imbalance
총게임기수 is highly imbalanced (95.8%)Imbalance
지역구분명 is highly imbalanced (60.3%)Imbalance
인허가취소일자 has 665 (100.0%) missing valuesMissing
폐업일자 has 128 (19.2%) missing valuesMissing
소재지시설전화번호 has 663 (99.7%) missing valuesMissing
소재지면적정보 has 665 (100.0%) missing valuesMissing
소재지도로명주소 has 20 (3.0%) missing valuesMissing
WGS84위도 has 13 (2.0%) missing valuesMissing
WGS84경도 has 13 (2.0%) missing valuesMissing
업태구분명정보 has 665 (100.0%) missing valuesMissing
시설면적(㎡) has 204 (30.7%) missing valuesMissing
통로너비(m) has 497 (74.7%) missing valuesMissing
기존게임업외업종명 has 665 (100.0%) missing valuesMissing
제공게임물명 has 665 (100.0%) 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
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:14:09.466000
Analysis finished2023-12-10 21:14:10.164572
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
부천시
80 
성남시
76 
수원시
73 
안산시
65 
고양시
57 
Other values (25)
314 

Length

Max length4
Median length3
Mean length3.0571429
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 80
12.0%
성남시 76
11.4%
수원시 73
11.0%
안산시 65
 
9.8%
고양시 57
 
8.6%
안양시 51
 
7.7%
광명시 29
 
4.4%
의정부시 28
 
4.2%
포천시 21
 
3.2%
군포시 21
 
3.2%
Other values (20) 164
24.7%

Length

2023-12-11T06:14:10.221160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 80
12.0%
성남시 76
11.4%
수원시 73
11.0%
안산시 65
 
9.8%
고양시 57
 
8.6%
안양시 51
 
7.7%
광명시 29
 
4.4%
의정부시 28
 
4.2%
포천시 21
 
3.2%
군포시 21
 
3.2%
Other values (20) 164
24.7%

사업장명
Text

Distinct574
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T06:14:10.474656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.2270677
Min length1

Characters and Unicode

Total characters4806
Distinct characters381
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

Unique516 ?
Unique (%)77.6%

Sample

1st row썬비디오감상실
2nd row매니아DVD비디오감상실
3rd row로데오 DVD 영화관
4th row팝스 DVD 영화관
5th rowTAKE 5 DVD
ValueCountFrequency (%)
dvd 74
 
8.0%
비디오방 43
 
4.7%
영화관 35
 
3.8%
비디오감상실 18
 
2.0%
팝스dvd영화관 12
 
1.3%
dvd영화관 12
 
1.3%
스타 9
 
1.0%
비디오물감상실 9
 
1.0%
dvd방 8
 
0.9%
엔피아dvd영화관 8
 
0.9%
Other values (558) 692
75.2%
2023-12-11T06:14:10.973216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 519
 
10.8%
V 256
 
5.3%
255
 
5.3%
디 254
 
5.3%
비 245
 
5.1%
오 230
 
4.8%
영 186
 
3.9%
화 173
 
3.6%
방 145
 
3.0%
상 138
 
2.9%
Other values (371) 2405
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3463
72.1%
Uppercase Letter 969
 
20.2%
Space Separator 255
 
5.3%
Decimal Number 60
 
1.2%
Lowercase Letter 20
 
0.4%
Other Punctuation 18
 
0.4%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 254
 
7.3%
비 245
 
7.1%
오 230
 
6.6%
영 186
 
5.4%
화 173
 
5.0%
방 145
 
4.2%
상 138
 
4.0%
관 136
 
3.9%
실 128
 
3.7%
감 123
 
3.6%
Other values (322) 1705
49.2%
Uppercase Letter
ValueCountFrequency (%)
D 519
53.6%
V 256
26.4%
O 22
 
2.3%
N 21
 
2.2%
E 20
 
2.1%
M 14
 
1.4%
A 13
 
1.3%
K 13
 
1.3%
C 11
 
1.1%
G 11
 
1.1%
Other values (13) 69
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
n 5
25.0%
o 3
15.0%
e 3
15.0%
u 2
 
10.0%
a 1
 
5.0%
m 1
 
5.0%
i 1
 
5.0%
w 1
 
5.0%
z 1
 
5.0%
p 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 23
38.3%
1 15
25.0%
5 11
18.3%
0 3
 
5.0%
3 3
 
5.0%
4 3
 
5.0%
7 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 6
33.3%
, 1
 
5.6%
! 1
 
5.6%
Space Separator
ValueCountFrequency (%)
255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3463
72.1%
Latin 989
 
20.6%
Common 354
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 254
 
7.3%
비 245
 
7.1%
오 230
 
6.6%
영 186
 
5.4%
화 173
 
5.0%
방 145
 
4.2%
상 138
 
4.0%
관 136
 
3.9%
실 128
 
3.7%
감 123
 
3.6%
Other values (322) 1705
49.2%
Latin
ValueCountFrequency (%)
D 519
52.5%
V 256
25.9%
O 22
 
2.2%
N 21
 
2.1%
E 20
 
2.0%
M 14
 
1.4%
A 13
 
1.3%
K 13
 
1.3%
C 11
 
1.1%
G 11
 
1.1%
Other values (24) 89
 
9.0%
Common
ValueCountFrequency (%)
255
72.0%
2 23
 
6.5%
1 15
 
4.2%
5 11
 
3.1%
. 10
 
2.8%
) 7
 
2.0%
( 7
 
2.0%
- 7
 
2.0%
& 6
 
1.7%
0 3
 
0.8%
Other values (5) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3463
72.1%
ASCII 1343
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 519
38.6%
V 256
19.1%
255
19.0%
2 23
 
1.7%
O 22
 
1.6%
N 21
 
1.6%
E 20
 
1.5%
1 15
 
1.1%
M 14
 
1.0%
A 13
 
1.0%
Other values (39) 185
 
13.8%
Hangul
ValueCountFrequency (%)
디 254
 
7.3%
비 245
 
7.1%
오 230
 
6.6%
영 186
 
5.4%
화 173
 
5.0%
방 145
 
4.2%
상 138
 
4.0%
관 136
 
3.9%
실 128
 
3.7%
감 123
 
3.6%
Other values (322) 1705
49.2%

인허가일자
Date

Distinct505
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1996-07-14 00:00:00
Maximum2018-12-17 00:00:00
2023-12-11T06:14:11.107573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:11.260890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing665
Missing (%)100.0%
Memory size6.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
661 
35
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.9864662
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> 661
99.4%
35 3
 
0.5%
3 1
 
0.2%

Length

2023-12-11T06:14:11.418231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:11.527702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
99.4%
35 3
 
0.5%
3 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업 등
536 
운영중
124 
직권말소
 
3
폐업
 
1
휴업 등
 
1

Length

Max length4
Median length4
Mean length3.8105263
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 536
80.6%
운영중 124
 
18.6%
직권말소 3
 
0.5%
폐업 1
 
0.2%
휴업 등 1
 
0.2%

Length

2023-12-11T06:14:11.650774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:11.763991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 537
44.7%
등 537
44.7%
운영중 124
 
10.3%
직권말소 3
 
0.2%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct456
Distinct (%)84.9%
Missing128
Missing (%)19.2%
Memory size5.3 KiB
Minimum1999-06-29 00:00:00
Maximum2023-06-12 00:00:00
2023-12-11T06:14:11.883870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:12.022396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing663
Missing (%)99.7%
Memory size5.3 KiB
2023-12-11T06:14:12.176177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters16
Distinct characters9
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

Unique2 ?
Unique (%)100.0%

Sample

1st row258-0346
2nd row446-3478
ValueCountFrequency (%)
258-0346 1
50.0%
446-3478 1
50.0%
2023-12-11T06:14:12.418622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4
25.0%
8 2
12.5%
- 2
12.5%
3 2
12.5%
6 2
12.5%
2 1
 
6.2%
5 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
87.5%
Dash Punctuation 2
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4
28.6%
8 2
14.3%
3 2
14.3%
6 2
14.3%
2 1
 
7.1%
5 1
 
7.1%
0 1
 
7.1%
7 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4
25.0%
8 2
12.5%
- 2
12.5%
3 2
12.5%
6 2
12.5%
2 1
 
6.2%
5 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4
25.0%
8 2
12.5%
- 2
12.5%
3 2
12.5%
6 2
12.5%
2 1
 
6.2%
5 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing665
Missing (%)100.0%
Memory size6.0 KiB

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
664 
18568
 
1

Length

Max length5
Median length4
Mean length4.0015038
Min length4

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> 664
99.8%
18568 1
 
0.2%

Length

2023-12-11T06:14:12.563099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:12.697505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
99.8%
18568 1
 
0.2%

소재지도로명주소
Text

MISSING 

Distinct635
Distinct (%)98.4%
Missing20
Missing (%)3.0%
Memory size5.3 KiB
2023-12-11T06:14:12.928922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length29.8
Min length16

Characters and Unicode

Total characters19221
Distinct characters306
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique625 ?
Unique (%)96.9%

Sample

1st row경기도 가평군 조종면 조종새싹로4번길 12
2nd row경기도 가평군 가평읍 가화로 55-9
3rd row경기도 고양시 일산동구 중앙로1275번길 38-15 (장항동,삼희포시즌프라자 401호)
4th row경기도 고양시 일산동구 일산로 46, 304호 (백석동,남정씨티프라자)
5th row경기도 고양시 일산동구 무궁화로 20-11, F동 311호 (장항동,라페스타)
ValueCountFrequency (%)
경기도 645
 
16.9%
부천시 79
 
2.1%
성남시 75
 
2.0%
수원시 71
 
1.9%
안산시 65
 
1.7%
고양시 56
 
1.5%
안양시 51
 
1.3%
팔달구 50
 
1.3%
단원구 45
 
1.2%
심곡동 32
 
0.8%
Other values (1090) 2650
69.4%
2023-12-11T06:14:13.329954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3576
 
18.6%
시 674
 
3.5%
경 656
 
3.4%
기 654
 
3.4%
로 653
 
3.4%
도 651
 
3.4%
동 644
 
3.4%
1 607
 
3.2%
( 606
 
3.2%
) 605
 
3.1%
Other values (296) 9895
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10784
56.1%
Space Separator 3576
 
18.6%
Decimal Number 3126
 
16.3%
Open Punctuation 606
 
3.2%
Close Punctuation 605
 
3.1%
Other Punctuation 414
 
2.2%
Dash Punctuation 97
 
0.5%
Uppercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 674
 
6.2%
경 656
 
6.1%
기 654
 
6.1%
로 653
 
6.1%
도 651
 
6.0%
동 644
 
6.0%
구 364
 
3.4%
길 326
 
3.0%
번 283
 
2.6%
산 246
 
2.3%
Other values (273) 5633
52.2%
Decimal Number
ValueCountFrequency (%)
1 607
19.4%
3 451
14.4%
2 444
14.2%
4 329
10.5%
0 317
10.1%
5 259
8.3%
6 196
 
6.3%
7 191
 
6.1%
9 178
 
5.7%
8 154
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
A 2
25.0%
G 1
 
12.5%
F 1
 
12.5%
M 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 413
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3576
100.0%
Open Punctuation
ValueCountFrequency (%)
( 606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10784
56.1%
Common 8428
43.8%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 674
 
6.2%
경 656
 
6.1%
기 654
 
6.1%
로 653
 
6.1%
도 651
 
6.0%
동 644
 
6.0%
구 364
 
3.4%
길 326
 
3.0%
번 283
 
2.6%
산 246
 
2.3%
Other values (273) 5633
52.2%
Common
ValueCountFrequency (%)
3576
42.4%
1 607
 
7.2%
( 606
 
7.2%
) 605
 
7.2%
3 451
 
5.4%
2 444
 
5.3%
, 413
 
4.9%
4 329
 
3.9%
0 317
 
3.8%
5 259
 
3.1%
Other values (7) 821
 
9.7%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
G 1
 
11.1%
F 1
 
11.1%
M 1
 
11.1%
Ⅱ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10784
56.1%
ASCII 8436
43.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3576
42.4%
1 607
 
7.2%
( 606
 
7.2%
) 605
 
7.2%
3 451
 
5.3%
2 444
 
5.3%
, 413
 
4.9%
4 329
 
3.9%
0 317
 
3.8%
5 259
 
3.1%
Other values (12) 829
 
9.8%
Hangul
ValueCountFrequency (%)
시 674
 
6.2%
경 656
 
6.1%
기 654
 
6.1%
로 653
 
6.1%
도 651
 
6.0%
동 644
 
6.0%
구 364
 
3.4%
길 326
 
3.0%
번 283
 
2.6%
산 246
 
2.3%
Other values (273) 5633
52.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

Distinct651
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T06:14:13.623070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length25.509774
Min length16

Characters and Unicode

Total characters16964
Distinct characters272
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique637 ?
Unique (%)95.8%

Sample

1st row경기도 가평군 하면 현리 264-37번지
2nd row경기도 가평군 가평읍 대곡리 168-3번지
3rd row경기도 고양시 일산동구 장항동 770번지 삼희포시즌프라자 401호
4th row경기도 고양시 일산동구 백석동 1308번지 남정씨티프라자 304호
5th row경기도 고양시 일산동구 장항동 761번지 라페스타 F동 311호
ValueCountFrequency (%)
경기도 665
 
18.6%
부천시 80
 
2.2%
성남시 76
 
2.1%
수원시 73
 
2.0%
안산시 65
 
1.8%
3층 63
 
1.8%
고양시 57
 
1.6%
안양시 51
 
1.4%
팔달구 51
 
1.4%
단원구 45
 
1.3%
Other values (1111) 2357
65.8%
2023-12-11T06:14:14.251332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2922
 
17.2%
지 701
 
4.1%
기 677
 
4.0%
도 670
 
3.9%
시 667
 
3.9%
경 667
 
3.9%
1 666
 
3.9%
번 658
 
3.9%
동 651
 
3.8%
- 543
 
3.2%
Other values (262) 8142
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9828
57.9%
Decimal Number 3568
 
21.0%
Space Separator 2922
 
17.2%
Dash Punctuation 543
 
3.2%
Other Punctuation 41
 
0.2%
Uppercase Letter 21
 
0.1%
Open Punctuation 19
 
0.1%
Close Punctuation 18
 
0.1%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 701
 
7.1%
기 677
 
6.9%
도 670
 
6.8%
시 667
 
6.8%
경 667
 
6.8%
번 658
 
6.7%
동 651
 
6.6%
구 364
 
3.7%
안 216
 
2.2%
산 205
 
2.1%
Other values (236) 4352
44.3%
Decimal Number
ValueCountFrequency (%)
1 666
18.7%
3 480
13.5%
4 440
12.3%
0 358
10.0%
2 354
9.9%
5 308
8.6%
6 287
8.0%
7 279
7.8%
8 204
 
5.7%
9 192
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
42.9%
D 4
19.0%
A 3
 
14.3%
L 2
 
9.5%
M 1
 
4.8%
G 1
 
4.8%
F 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 32
78.0%
/ 7
 
17.1%
. 2
 
4.9%
Space Separator
ValueCountFrequency (%)
2922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 543
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9828
57.9%
Common 7114
41.9%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 701
 
7.1%
기 677
 
6.9%
도 670
 
6.8%
시 667
 
6.8%
경 667
 
6.8%
번 658
 
6.7%
동 651
 
6.6%
구 364
 
3.7%
안 216
 
2.2%
산 205
 
2.1%
Other values (236) 4352
44.3%
Common
ValueCountFrequency (%)
2922
41.1%
1 666
 
9.4%
- 543
 
7.6%
3 480
 
6.7%
4 440
 
6.2%
0 358
 
5.0%
2 354
 
5.0%
5 308
 
4.3%
6 287
 
4.0%
7 279
 
3.9%
Other values (8) 477
 
6.7%
Latin
ValueCountFrequency (%)
B 9
40.9%
D 4
18.2%
A 3
 
13.6%
L 2
 
9.1%
M 1
 
4.5%
G 1
 
4.5%
F 1
 
4.5%
Ⅱ 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9828
57.9%
ASCII 7135
42.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2922
41.0%
1 666
 
9.3%
- 543
 
7.6%
3 480
 
6.7%
4 440
 
6.2%
0 358
 
5.0%
2 354
 
5.0%
5 308
 
4.3%
6 287
 
4.0%
7 279
 
3.9%
Other values (15) 498
 
7.0%
Hangul
ValueCountFrequency (%)
지 701
 
7.1%
기 677
 
6.9%
도 670
 
6.8%
시 667
 
6.8%
경 667
 
6.8%
번 658
 
6.7%
동 651
 
6.6%
구 364
 
3.7%
안 216
 
2.2%
산 205
 
2.1%
Other values (236) 4352
44.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지우편번호
Real number (ℝ)

Distinct326
Distinct (%)49.2%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean242985.92
Minimum10018
Maximum487892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T06:14:14.385374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10821.3
Q114265
median412827
Q3442022
95-th percentile480842
Maximum487892
Range477874
Interquartile range (IQR)427757

Descriptive statistics

Standard deviation214005.87
Coefficient of variation (CV)0.88073362
Kurtosis-1.9664013
Mean242985.92
Median Absolute Deviation (MAD)68015
Skewness-0.12544336
Sum1.6109966 × 108
Variance4.5798511 × 1010
MonotonicityNot monotonic
2023-12-11T06:14:14.510584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430831 15
 
2.3%
480842 14
 
2.1%
16455 13
 
2.0%
420823 13
 
2.0%
425868 13
 
2.0%
15865 11
 
1.7%
442081 11
 
1.7%
431812 10
 
1.5%
13591 9
 
1.4%
13992 8
 
1.2%
Other values (316) 546
82.1%
ValueCountFrequency (%)
10018 1
 
0.2%
10019 1
 
0.2%
10108 1
 
0.2%
10301 2
 
0.3%
10342 1
 
0.2%
10343 1
 
0.2%
10364 2
 
0.3%
10381 1
 
0.2%
10386 1
 
0.2%
10401 8
1.2%
ValueCountFrequency (%)
487892 2
0.3%
487863 1
0.2%
487851 2
0.3%
487823 2
0.3%
486903 1
0.2%
483801 1
0.2%
483030 2
0.3%
482873 2
0.3%
482812 2
0.3%
482060 1
0.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct604
Distinct (%)92.6%
Missing13
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean37.455199
Minimum36.991548
Maximum38.185544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T06:14:14.635517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.991548
5-th percentile37.15757
Q137.312649
median37.430107
Q337.593331
95-th percentile37.857815
Maximum38.185544
Range1.1939957
Interquartile range (IQR)0.28068185

Descriptive statistics

Standard deviation0.21139957
Coefficient of variation (CV)0.0056440647
Kurtosis0.50469438
Mean37.455199
Median Absolute Deviation (MAD)0.1210131
Skewness0.61914975
Sum24420.79
Variance0.044689778
MonotonicityNot monotonic
2023-12-11T06:14:14.781263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3173809813 3
 
0.5%
37.3583082672 3
 
0.5%
37.3860705445 3
 
0.5%
37.3186720112 3
 
0.5%
37.3010987011 3
 
0.5%
37.599866833 2
 
0.3%
37.4899007222 2
 
0.3%
37.4857782963 2
 
0.3%
37.4880207773 2
 
0.3%
37.7409878415 2
 
0.3%
Other values (594) 627
94.3%
(Missing) 13
 
2.0%
ValueCountFrequency (%)
36.9915480849 1
0.2%
36.9916366007 1
0.2%
36.9917688244 1
0.2%
36.9921498129 1
0.2%
36.9921508276 1
0.2%
36.9926660806 1
0.2%
36.9929432974 1
0.2%
36.9931924511 1
0.2%
36.9935147695 1
0.2%
36.994770015 1
0.2%
ValueCountFrequency (%)
38.1855437589 1
0.2%
38.0910589286 1
0.2%
38.0908290855 1
0.2%
38.0907760417 1
0.2%
38.0357153195 1
0.2%
38.0278453361 1
0.2%
38.0272838247 1
0.2%
38.0271846861 1
0.2%
38.0270778301 1
0.2%
38.0258488969 1
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct604
Distinct (%)92.6%
Missing13
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean126.97102
Minimum126.59906
Maximum127.51508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T06:14:14.921648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59906
5-th percentile126.75338
Q1126.81611
median126.95442
Q3127.08855
95-th percentile127.26382
Maximum127.51508
Range0.91601396
Interquartile range (IQR)0.27243532

Descriptive statistics

Standard deviation0.16935409
Coefficient of variation (CV)0.0013338011
Kurtosis-0.047963745
Mean126.97102
Median Absolute Deviation (MAD)0.13591954
Skewness0.54824184
Sum82785.108
Variance0.028680807
MonotonicityNot monotonic
2023-12-11T06:14:15.048052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8377380155 3
 
0.5%
126.932287914 3
 
0.5%
127.1243633195 3
 
0.5%
126.8364965083 3
 
0.5%
126.865085171 3
 
0.5%
127.1394795242 2
 
0.3%
126.752850339 2
 
0.3%
126.7813840588 2
 
0.3%
126.7840433904 2
 
0.3%
127.0500051903 2
 
0.3%
Other values (594) 627
94.3%
(Missing) 13
 
2.0%
ValueCountFrequency (%)
126.5990645971 1
0.2%
126.5995239265 1
0.2%
126.6899272073 1
0.2%
126.7185159275 1
0.2%
126.7323821519 2
0.3%
126.7329223926 1
0.2%
126.7358358707 1
0.2%
126.7361037044 1
0.2%
126.7365286117 1
0.2%
126.7365467184 1
0.2%
ValueCountFrequency (%)
127.515078554 1
0.2%
127.490701443 1
0.2%
127.490124642 1
0.2%
127.4900089968 1
0.2%
127.489986514 1
0.2%
127.4820286416 1
0.2%
127.4749448906 1
0.2%
127.4459557626 1
0.2%
127.4447488686 1
0.2%
127.4447143749 2
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing665
Missing (%)100.0%
Memory size6.0 KiB

X좌표값
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
663 
200173.629353836
 
1
183510.721712054
 
1

Length

Max length16
Median length4
Mean length4.0360902
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 663
99.7%
200173.629353836 1
 
0.2%
183510.721712054 1
 
0.2%

Length

2023-12-11T06:14:15.185519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:15.276762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 663
99.7%
200173.629353836 1
 
0.2%
183510.721712054 1
 
0.2%

Y좌표값
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
663 
418433.683386756
 
1
397843.103976935
 
1

Length

Max length16
Median length4
Mean length4.0360902
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 663
99.7%
418433.683386756 1
 
0.2%
397843.103976935 1
 
0.2%

Length

2023-12-11T06:14:15.369719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:15.461657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 663
99.7%
418433.683386756 1
 
0.2%
397843.103976935 1
 
0.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
비디오물감상실업
665 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 665
100.0%

Length

2023-12-11T06:14:15.556944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:15.649092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 665
100.0%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
661 
6
 
2
5
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9819549
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 661
99.4%
6 2
 
0.3%
5 1
 
0.2%
0 1
 
0.2%

Length

2023-12-11T06:14:15.745912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:15.854298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
99.4%
6 2
 
0.3%
5 1
 
0.2%
0 1
 
0.2%

시설면적(㎡)
Real number (ℝ)

MISSING 

Distinct419
Distinct (%)90.9%
Missing204
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean156.89597
Minimum20.27
Maximum561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T06:14:15.985063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.27
5-th percentile77.12
Q1111
median144.66
Q3188
95-th percentile265.96
Maximum561
Range540.73
Interquartile range (IQR)77

Descriptive statistics

Standard deviation65.468666
Coefficient of variation (CV)0.41727437
Kurtosis5.7039794
Mean156.89597
Median Absolute Deviation (MAD)38.06
Skewness1.6515454
Sum72329.04
Variance4286.1462
MonotonicityNot monotonic
2023-12-11T06:14:16.137472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 5
 
0.8%
198.0 3
 
0.5%
148.0 3
 
0.5%
132.0 3
 
0.5%
123.0 2
 
0.3%
106.0 2
 
0.3%
112.2 2
 
0.3%
96.0 2
 
0.3%
53.0 2
 
0.3%
109.6 2
 
0.3%
Other values (409) 435
65.4%
(Missing) 204
30.7%
ValueCountFrequency (%)
20.27 1
0.2%
34.84 1
0.2%
35.0 1
0.2%
53.0 2
0.3%
53.46 1
0.2%
59.28 1
0.2%
62.88 1
0.2%
65.78 1
0.2%
67.1 1
0.2%
67.71 1
0.2%
ValueCountFrequency (%)
561.0 1
0.2%
501.23 1
0.2%
443.79 1
0.2%
431.09 1
0.2%
394.24 1
0.2%
386.57 1
0.2%
349.86 1
0.2%
334.28 1
0.2%
319.2 1
0.2%
311.4 1
0.2%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
661 
5
 
2
4
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9819549
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 661
99.4%
5 2
 
0.3%
4 1
 
0.2%
0 1
 
0.2%

Length

2023-12-11T06:14:16.277304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:16.377980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
99.4%
5 2
 
0.3%
4 1
 
0.2%
0 1
 
0.2%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
661 
1
 
3
0
 
1

Length

Max length4
Median length4
Mean length3.9819549
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> 661
99.4%
1 3
 
0.5%
0 1
 
0.2%

Length

2023-12-11T06:14:16.489394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:16.593364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
99.4%
1 3
 
0.5%
0 1
 
0.2%

통로너비(m)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)11.9%
Missing497
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean1.151131
Minimum0
Maximum2.5
Zeros3
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T06:14:16.699964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1.1
Q31.2
95-th percentile1.5
Maximum2.5
Range2.5
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.26462362
Coefficient of variation (CV)0.22988142
Kurtosis11.199845
Mean1.151131
Median Absolute Deviation (MAD)0.1
Skewness0.22824533
Sum193.39
Variance0.070025659
MonotonicityNot monotonic
2023-12-11T06:14:16.813690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1.0 51
 
7.7%
1.2 44
 
6.6%
1.1 29
 
4.4%
1.3 17
 
2.6%
1.5 5
 
0.8%
0.0 3
 
0.5%
1.4 3
 
0.5%
1.45 2
 
0.3%
1.6 2
 
0.3%
0.9 2
 
0.3%
Other values (10) 10
 
1.5%
(Missing) 497
74.7%
ValueCountFrequency (%)
0.0 3
 
0.5%
0.9 2
 
0.3%
1.0 51
7.7%
1.08 1
 
0.2%
1.1 29
4.4%
1.14 1
 
0.2%
1.16 1
 
0.2%
1.18 1
 
0.2%
1.2 44
6.6%
1.21 1
 
0.2%
ValueCountFrequency (%)
2.5 1
 
0.2%
2.3 1
 
0.2%
2.0 1
 
0.2%
1.72 1
 
0.2%
1.7 1
 
0.2%
1.6 2
 
0.3%
1.5 5
 
0.8%
1.45 2
 
0.3%
1.4 3
 
0.5%
1.3 17
2.6%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
662 
0
 
3

Length

Max length4
Median length4
Mean length3.9864662
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> 662
99.5%
0 3
 
0.5%

Length

2023-12-11T06:14:16.941575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:17.064757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
99.5%
0 3
 
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
662 
0
 
3

Length

Max length4
Median length4
Mean length3.9864662
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> 662
99.5%
0 3
 
0.5%

Length

2023-12-11T06:14:17.169756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:17.262727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
99.5%
0 3
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
662 
0
 
3

Length

Max length4
Median length4
Mean length3.9864662
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> 662
99.5%
0 3
 
0.5%

Length

2023-12-11T06:14:17.356970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:17.446418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
99.5%
0 3
 
0.5%

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
662 
0
 
3

Length

Max length4
Median length4
Mean length3.9864662
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> 662
99.5%
0 3
 
0.5%

Length

2023-12-11T06:14:17.536349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:17.619568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
99.5%
0 3
 
0.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing665
Missing (%)100.0%
Memory size6.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing665
Missing (%)100.0%
Memory size6.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
505 
상업지역
 
49
일반상업지역
 
38
중심상업지역
 
29
일반주거지역
 
17
Other values (7)
 
27

Length

Max length6
Median length4
Mean length4.3037594
Min length4

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 505
75.9%
상업지역 49
 
7.4%
일반상업지역 38
 
5.7%
중심상업지역 29
 
4.4%
일반주거지역 17
 
2.6%
근린상업지역 10
 
1.5%
준주거지역 9
 
1.4%
주거지역 4
 
0.6%
자연녹지지역 1
 
0.2%
준공업지역 1
 
0.2%
Other values (2) 2
 
0.3%

Length

2023-12-11T06:14:17.721410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 505
75.9%
상업지역 49
 
7.4%
일반상업지역 38
 
5.7%
중심상업지역 29
 
4.4%
일반주거지역 17
 
2.6%
근린상업지역 10
 
1.5%
준주거지역 9
 
1.4%
주거지역 4
 
0.6%
자연녹지지역 1
 
0.2%
준공업지역 1
 
0.2%
Other values (2) 2
 
0.3%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수시설면적(㎡)지상층수지하층수통로너비(m)조명시설조도량노래방실수청소년실수총게임기수기존게임업외업종명제공게임물명지역구분명
0가평군썬비디오감상실19980720<NA><NA>폐업 등20041124<NA><NA><NA>경기도 가평군 조종면 조종새싹로4번길 12경기도 가평군 하면 현리 264-37번지47783137.818913127.34934<NA><NA><NA>비디오물감상실업<NA>123.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가평군매니아DVD비디오감상실20050103<NA><NA>폐업 등20110426<NA><NA><NA>경기도 가평군 가평읍 가화로 55-9경기도 가평군 가평읍 대곡리 168-3번지1242037.82465127.515079<NA><NA><NA>비디오물감상실업<NA>89.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시로데오 DVD 영화관20030701<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 중앙로1275번길 38-15 (장항동,삼희포시즌프라자 401호)경기도 고양시 일산동구 장항동 770번지 삼희포시즌프라자 401호1040137.65991126.770095<NA><NA><NA>비디오물감상실업<NA>151.18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시팝스 DVD 영화관20060523<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 일산로 46, 304호 (백석동,남정씨티프라자)경기도 고양시 일산동구 백석동 1308번지 남정씨티프라자 304호1044937.642344126.787904<NA><NA><NA>비디오물감상실업<NA>123.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시TAKE 5 DVD20090610<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 20-11, F동 311호 (장항동,라페스타)경기도 고양시 일산동구 장항동 761번지 라페스타 F동 311호1040137.661814126.767548<NA><NA><NA>비디오물감상실업<NA>164.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시코코아DVD영화관20130607<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 34, 403,404호 (장항동, 남정씨티프라자 Ⅱ )경기도 고양시 일산동구 장항동 778-2번지 남정씨티프라자 Ⅱ 403/4호1040137.662622126.768379<NA><NA><NA>비디오물감상실업<NA>221.37<NA><NA>1.4<NA><NA><NA><NA><NA><NA>중심상업지역
6고양시지 비디오감상실19970625<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 원일로 82-1 (일산동)경기도 고양시 일산서구 일산동 617-6번지1034237.685749126.771112<NA><NA><NA>비디오물감상실업<NA>175.44<NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
7고양시엔피아DVD영화관20060922<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화신로260번길 37, 404,405호 (화정동,진솔프라자)경기도 고양시 덕양구 화정동 979번지 진솔프라자 404,405호1050037.632483126.832526<NA><NA><NA>비디오물감상실업<NA>199.6<NA><NA>1.2<NA><NA><NA><NA><NA><NA><NA>
8고양시코코아 DVD 영화관20090924<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 중앙로1261번길 55, 401호 (장항동,효산캐슬)경기도 고양시 일산동구 장항동 861번지 효산캐슬 401호1040237.657581126.770854<NA><NA><NA>비디오물감상실업<NA>158.24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시씨네존DVD영화관20140211<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화신로 260-66, B01호 (화정동, 한빛하이죤)경기도 고양시 덕양구 화정동 975번지 한빛하이죤 B01호1050037.633696126.833399<NA><NA><NA>비디오물감상실업<NA>217.53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수시설면적(㎡)지상층수지하층수통로너비(m)조명시설조도량노래방실수청소년실수총게임기수기존게임업외업종명제공게임물명지역구분명
655화성시무비스토리19960913<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 향남읍 평리 85-21번지445939<NA><NA><NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
656화성시DVD 카슬20020507<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 삼성1로6길 27 (반월동)경기도 화성시 반월동 359-1번지44533037.228075127.073937<NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
657화성시DVD시네마월드20040729<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 효행로 1041 (진안동)경기도 화성시 진안동 875-1번지1839937.213936127.041095<NA><NA><NA>비디오물감상실업<NA>178.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
658화성시터미널비디오감상실2018-12-17<NA>35직권말소2023-03-24<NA><NA>18568경기도 화성시 우정읍 조암서로 7, 6층 1호경기도 화성시 우정읍 조암리 3351856837.082197126.815375<NA>183510.721712397843.103977비디오물감상실업099.0000.00000<NA><NA><NA>
659화성시TAKE520070820<NA><NA>폐업 등20120703<NA><NA><NA>경기도 화성시 효행로 1052경기도 화성시 병점동 844-1번지 씨네샤르망 A동 306호44536037.213932127.042481<NA><NA><NA>비디오물감상실업<NA>145.08<NA><NA>1.1<NA><NA><NA><NA><NA><NA><NA>
660화성시토마토DVD방19990708<NA><NA>폐업 등20060322<NA><NA><NA>경기도 화성시 삼성1로 284-35 (반월동)경기도 화성시 반월동 360-8번지44533037.228069127.072302<NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
661화성시맘모스비디오방19990816<NA><NA>폐업 등20060612<NA><NA><NA><NA>경기도 화성시 봉담읍 와우리 43-3번지44589737.214373126.979037<NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662화성시스크린비디오방20010525<NA><NA>폐업 등20060525<NA><NA><NA>경기도 화성시 삼성1로6길 21 (반월동)경기도 화성시 반월동 359-5번지44533037.228037127.073373<NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663화성시비디오감상실20010929<NA><NA>폐업 등20080204<NA><NA><NA>경기도 화성시 삼성1로6길 23-7 (반월동)경기도 화성시 반월동 360-1번지44533037.228547127.07239<NA><NA><NA>비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
664화성시성인컴퓨터방20071026<NA><NA>폐업 등20121113<NA><NA><NA>경기도 화성시 향남읍 평3길 20-1 (3층)경기도 화성시 향남읍 평리 112-3번지 3층1859337.131743126.908294<NA><NA><NA>비디오물감상실업<NA>115.5<NA><NA>1.0<NA><NA><NA><NA><NA><NA><NA>