Overview

Dataset statistics

Number of variables42
Number of observations171
Missing cells3914
Missing cells (%)54.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.6 KiB
Average record size in memory368.8 B

Variable types

Categorical12
Text5
DateTime2
Unsupported18
Numeric5

Alerts

영업상태구분코드 is highly imbalanced (55.3%)Imbalance
문화체육업종명 is highly imbalanced (90.8%)Imbalance
인허가취소일자 has 171 (100.0%) missing valuesMissing
폐업일자 has 156 (91.2%) missing valuesMissing
소재지시설전화번호 has 164 (95.9%) missing valuesMissing
소재지면적정보 has 171 (100.0%) missing valuesMissing
도로명우편번호 has 135 (78.9%) missing valuesMissing
소재지우편번호 has 30 (17.5%) missing valuesMissing
WGS84위도 has 36 (21.1%) missing valuesMissing
WGS84경도 has 36 (21.1%) missing valuesMissing
업태구분명정보 has 171 (100.0%) missing valuesMissing
X좌표값 has 139 (81.3%) missing valuesMissing
Y좌표값 has 139 (81.3%) missing valuesMissing
주변환경명 has 171 (100.0%) missing valuesMissing
비상계단여부 has 171 (100.0%) missing valuesMissing
비상구여부 has 171 (100.0%) missing valuesMissing
자동환기여부 has 171 (100.0%) missing valuesMissing
청소년실여부 has 171 (100.0%) missing valuesMissing
특수조명여부 has 171 (100.0%) missing valuesMissing
방음시설여부 has 171 (100.0%) missing valuesMissing
비디오재생기명 has 171 (100.0%) missing valuesMissing
조명시설유무 has 171 (100.0%) missing valuesMissing
음향시설여부 has 171 (100.0%) missing valuesMissing
편의시설여부 has 171 (100.0%) missing valuesMissing
소방시설여부 has 171 (100.0%) missing valuesMissing
기존게임업외업종명 has 171 (100.0%) missing valuesMissing
제공게임물명 has 171 (100.0%) missing valuesMissing
공연장형태구분명 has 171 (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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:15:09.407646
Analysis finished2023-12-10 21:15:10.334148
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct23
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
고양시
46 
성남시
22 
파주시
12 
용인시
12 
부천시
12 
Other values (18)
67 

Length

Max length4
Median length3
Mean length3.0701754
Min length3

Unique

Unique5 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 46
26.9%
성남시 22
12.9%
파주시 12
 
7.0%
용인시 12
 
7.0%
부천시 12
 
7.0%
수원시 10
 
5.8%
안산시 8
 
4.7%
남양주시 7
 
4.1%
김포시 6
 
3.5%
안양시 6
 
3.5%
Other values (13) 30
17.5%

Length

2023-12-11T06:15:10.400016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 46
26.9%
성남시 22
12.9%
파주시 12
 
7.0%
용인시 12
 
7.0%
부천시 12
 
7.0%
수원시 10
 
5.8%
안산시 8
 
4.7%
남양주시 7
 
4.1%
김포시 6
 
3.5%
안양시 6
 
3.5%
Other values (13) 30
17.5%

사업장명
Text

Distinct163
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:15:10.603933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length8.6081871
Min length2

Characters and Unicode

Total characters1472
Distinct characters270
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)91.2%

Sample

1st row(주)케이알씨지
2nd row주식회사
3rd row길갈
4th row영화로운 형제
5th row(주)인벤트스톤
ValueCountFrequency (%)
주식회사 39
 
15.9%
주 7
 
2.9%
다우기술 3
 
1.2%
스튜디오 3
 
1.2%
영화사 3
 
1.2%
스토리텔러 2
 
0.8%
소쇼엔터테인먼트 2
 
0.8%
주)시공테크 2
 
0.8%
주)케이알씨지 2
 
0.8%
엔터테인먼트 2
 
0.8%
Other values (178) 180
73.5%
2023-12-11T06:15:10.952648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 121
 
8.2%
) 85
 
5.8%
( 83
 
5.6%
74
 
5.0%
사 51
 
3.5%
이 50
 
3.4%
스 49
 
3.3%
회 41
 
2.8%
식 40
 
2.7%
디 27
 
1.8%
Other values (260) 851
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1169
79.4%
Close Punctuation 85
 
5.8%
Open Punctuation 83
 
5.6%
Space Separator 74
 
5.0%
Lowercase Letter 34
 
2.3%
Uppercase Letter 14
 
1.0%
Decimal Number 8
 
0.5%
Other Symbol 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 121
 
10.4%
사 51
 
4.4%
이 50
 
4.3%
스 49
 
4.2%
회 41
 
3.5%
식 40
 
3.4%
디 27
 
2.3%
인 21
 
1.8%
리 20
 
1.7%
트 19
 
1.6%
Other values (226) 730
62.4%
Lowercase Letter
ValueCountFrequency (%)
o 5
14.7%
d 4
11.8%
i 4
11.8%
e 3
8.8%
n 3
8.8%
l 3
8.8%
k 2
 
5.9%
y 2
 
5.9%
u 2
 
5.9%
a 2
 
5.9%
Other values (4) 4
11.8%
Uppercase Letter
ValueCountFrequency (%)
G 2
14.3%
C 2
14.3%
S 2
14.3%
K 2
14.3%
Y 1
7.1%
F 1
7.1%
W 1
7.1%
B 1
7.1%
J 1
7.1%
T 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
1 2
25.0%
7 1
12.5%
3 1
12.5%
6 1
12.5%
8 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1174
79.8%
Common 250
 
17.0%
Latin 48
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 121
 
10.3%
사 51
 
4.3%
이 50
 
4.3%
스 49
 
4.2%
회 41
 
3.5%
식 40
 
3.4%
디 27
 
2.3%
인 21
 
1.8%
리 20
 
1.7%
트 19
 
1.6%
Other values (227) 735
62.6%
Latin
ValueCountFrequency (%)
o 5
 
10.4%
d 4
 
8.3%
i 4
 
8.3%
e 3
 
6.2%
n 3
 
6.2%
l 3
 
6.2%
G 2
 
4.2%
C 2
 
4.2%
k 2
 
4.2%
y 2
 
4.2%
Other values (14) 18
37.5%
Common
ValueCountFrequency (%)
) 85
34.0%
( 83
33.2%
74
29.6%
2 2
 
0.8%
1 2
 
0.8%
7 1
 
0.4%
3 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
79.4%
ASCII 298
 
20.2%
None 5
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 121
 
10.4%
사 51
 
4.4%
이 50
 
4.3%
스 49
 
4.2%
회 41
 
3.5%
식 40
 
3.4%
디 27
 
2.3%
인 21
 
1.8%
리 20
 
1.7%
트 19
 
1.6%
Other values (226) 730
62.4%
ASCII
ValueCountFrequency (%)
) 85
28.5%
( 83
27.9%
74
24.8%
o 5
 
1.7%
d 4
 
1.3%
i 4
 
1.3%
e 3
 
1.0%
n 3
 
1.0%
l 3
 
1.0%
G 2
 
0.7%
Other values (23) 32
 
10.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

인허가일자
Date

Distinct159
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1999-05-31 00:00:00
Maximum2023-11-16 00:00:00
2023-12-11T06:15:11.082126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:15:11.223492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
135 
13
31 
15
 
3
3
 
2

Length

Max length4
Median length4
Mean length3.5672515
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 135
78.9%
13 31
 
18.1%
15 3
 
1.8%
3 2
 
1.2%

Length

2023-12-11T06:15:11.386792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:11.508727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
78.9%
13 31
 
18.1%
15 3
 
1.8%
3 2
 
1.2%

영업상태명
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
운영중
125 
영업중
31 
폐업 등
 
10
전출
 
3
폐업
 
2

Length

Max length4
Median length3
Mean length3.0292398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 125
73.1%
영업중 31
 
18.1%
폐업 등 10
 
5.8%
전출 3
 
1.8%
폐업 2
 
1.2%

Length

2023-12-11T06:15:11.654718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:11.770420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 125
69.1%
영업중 31
 
17.1%
폐업 12
 
6.6%
등 10
 
5.5%
전출 3
 
1.7%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing156
Missing (%)91.2%
Memory size1.5 KiB
Minimum2012-01-09 00:00:00
Maximum2023-11-17 00:00:00
2023-12-11T06:15:11.872787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:15:12.044064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

소재지시설전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing164
Missing (%)95.9%
Memory size1.5 KiB
2023-12-11T06:15:12.192604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.428571
Min length12

Characters and Unicode

Total characters87
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

Unique7 ?
Unique (%)100.0%

Sample

1st row031-971-5579
2nd row02-3158-2023
3rd row031-909-1011
4th row031-523-2302
5th row070-8707-1000
ValueCountFrequency (%)
031-971-5579 1
14.3%
02-3158-2023 1
14.3%
031-909-1011 1
14.3%
031-523-2302 1
14.3%
070-8707-1000 1
14.3%
070-8707-1025 1
14.3%
070-4406-9747 1
14.3%
2023-12-11T06:15:12.491583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21
24.1%
- 14
16.1%
7 11
12.6%
1 10
11.5%
3 7
 
8.0%
2 7
 
8.0%
9 5
 
5.7%
5 5
 
5.7%
8 3
 
3.4%
4 3
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
83.9%
Dash Punctuation 14
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
28.8%
7 11
15.1%
1 10
13.7%
3 7
 
9.6%
2 7
 
9.6%
9 5
 
6.8%
5 5
 
6.8%
8 3
 
4.1%
4 3
 
4.1%
6 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21
24.1%
- 14
16.1%
7 11
12.6%
1 10
11.5%
3 7
 
8.0%
2 7
 
8.0%
9 5
 
5.7%
5 5
 
5.7%
8 3
 
3.4%
4 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21
24.1%
- 14
16.1%
7 11
12.6%
1 10
11.5%
3 7
 
8.0%
2 7
 
8.0%
9 5
 
5.7%
5 5
 
5.7%
8 3
 
3.4%
4 3
 
3.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

도로명우편번호
Text

MISSING 

Distinct35
Distinct (%)97.2%
Missing135
Missing (%)78.9%
Memory size1.5 KiB
2023-12-11T06:15:12.687303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1111111
Min length5

Characters and Unicode

Total characters184
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

Unique34 ?
Unique (%)94.4%

Sample

1st row10592
2nd row10592
3rd row10360
4th row10510
5th row10543
ValueCountFrequency (%)
10592 2
 
5.6%
448-161 1
 
2.8%
14490 1
 
2.8%
463-400 1
 
2.8%
13486 1
 
2.8%
13453 1
 
2.8%
16697 1
 
2.8%
14998 1
 
2.8%
12922 1
 
2.8%
14579 1
 
2.8%
Other values (25) 25
69.4%
2023-12-11T06:15:13.055204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 47
25.5%
0 27
14.7%
2 22
12.0%
4 18
 
9.8%
5 14
 
7.6%
9 14
 
7.6%
8 12
 
6.5%
3 10
 
5.4%
7 9
 
4.9%
6 9
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
98.9%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
25.8%
0 27
14.8%
2 22
12.1%
4 18
 
9.9%
5 14
 
7.7%
9 14
 
7.7%
8 12
 
6.6%
3 10
 
5.5%
7 9
 
4.9%
6 9
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 47
25.5%
0 27
14.7%
2 22
12.0%
4 18
 
9.8%
5 14
 
7.6%
9 14
 
7.6%
8 12
 
6.5%
3 10
 
5.4%
7 9
 
4.9%
6 9
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 47
25.5%
0 27
14.7%
2 22
12.0%
4 18
 
9.8%
5 14
 
7.6%
9 14
 
7.6%
8 12
 
6.5%
3 10
 
5.4%
7 9
 
4.9%
6 9
 
4.9%

소재지도로명주소
Text

Distinct161
Distinct (%)94.7%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2023-12-11T06:15:13.323870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length44
Mean length36.182353
Min length15

Characters and Unicode

Total characters6151
Distinct characters301
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

Unique152 ?
Unique (%)89.4%

Sample

1st row경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)
2nd row경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)
3rd row경기도 고양시 일산서구 대산로 **, ***동 ****호 (주엽동, 강선마을*단지아파트)
4th row경기도 고양시 덕양구 지도로**번길 **, *층 (토당동)
5th row경기도 고양시 덕양구 으뜸로 ***, *동 ****호 (덕은동)
ValueCountFrequency (%)
171
 
14.0%
경기도 170
 
13.9%
호 88
 
7.2%
고양시 46
 
3.8%
층 26
 
2.1%
동 25
 
2.0%
일산동구 22
 
1.8%
성남시 22
 
1.8%
분당구 20
 
1.6%
덕양구 17
 
1.4%
Other values (396) 614
50.3%
2023-12-11T06:15:13.757486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1091
17.7%
1069
17.4%
동 232
 
3.8%
, 201
 
3.3%
시 182
 
3.0%
경 178
 
2.9%
기 176
 
2.9%
도 174
 
2.8%
로 157
 
2.6%
) 154
 
2.5%
Other values (291) 2537
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3392
55.1%
Other Punctuation 1299
 
21.1%
Space Separator 1069
 
17.4%
Close Punctuation 154
 
2.5%
Open Punctuation 154
 
2.5%
Dash Punctuation 48
 
0.8%
Uppercase Letter 33
 
0.5%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 232
 
6.8%
시 182
 
5.4%
경 178
 
5.2%
기 176
 
5.2%
도 174
 
5.1%
로 157
 
4.6%
구 109
 
3.2%
호 104
 
3.1%
양 91
 
2.7%
산 73
 
2.2%
Other values (268) 1916
56.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
18.2%
B 6
18.2%
I 4
12.1%
T 3
9.1%
U 2
 
6.1%
O 2
 
6.1%
W 2
 
6.1%
R 2
 
6.1%
E 2
 
6.1%
L 1
 
3.0%
Other values (3) 3
9.1%
Other Punctuation
ValueCountFrequency (%)
* 1091
84.0%
, 201
 
15.5%
. 6
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1069
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3392
55.1%
Common 2725
44.3%
Latin 34
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 232
 
6.8%
시 182
 
5.4%
경 178
 
5.2%
기 176
 
5.2%
도 174
 
5.1%
로 157
 
4.6%
구 109
 
3.2%
호 104
 
3.1%
양 91
 
2.7%
산 73
 
2.2%
Other values (268) 1916
56.5%
Latin
ValueCountFrequency (%)
A 6
17.6%
B 6
17.6%
I 4
11.8%
T 3
8.8%
U 2
 
5.9%
O 2
 
5.9%
W 2
 
5.9%
R 2
 
5.9%
E 2
 
5.9%
a 1
 
2.9%
Other values (4) 4
11.8%
Common
ValueCountFrequency (%)
* 1091
40.0%
1069
39.2%
, 201
 
7.4%
) 154
 
5.7%
( 154
 
5.7%
- 48
 
1.8%
. 6
 
0.2%
/ 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3392
55.1%
ASCII 2759
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1091
39.5%
1069
38.7%
, 201
 
7.3%
) 154
 
5.6%
( 154
 
5.6%
- 48
 
1.7%
A 6
 
0.2%
B 6
 
0.2%
. 6
 
0.2%
I 4
 
0.1%
Other values (13) 20
 
0.7%
Hangul
ValueCountFrequency (%)
동 232
 
6.8%
시 182
 
5.4%
경 178
 
5.2%
기 176
 
5.2%
도 174
 
5.1%
로 157
 
4.6%
구 109
 
3.2%
호 104
 
3.1%
양 91
 
2.7%
산 73
 
2.2%
Other values (268) 1916
56.5%

소재지지번주소
Text

Distinct156
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:15:14.051747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length27.432749
Min length10

Characters and Unicode

Total characters4691
Distinct characters255
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)84.2%

Sample

1st row경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호
2nd row경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호
3rd row경기도 고양시 일산서구 주엽동 ** 강선마을*단지아파트
4th row경기도 고양시 덕양구 토당동 ***-* *층
5th row경기도 고양시 덕양구 덕은동 * *동 ****호
ValueCountFrequency (%)
경기도 171
 
17.3%
번지 128
 
13.0%
호 61
 
6.2%
고양시 46
 
4.7%
37
 
3.7%
성남시 22
 
2.2%
일산동구 22
 
2.2%
분당구 20
 
2.0%
동 18
 
1.8%
덕양구 17
 
1.7%
Other values (250) 446
45.1%
2023-12-11T06:15:14.488972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 919
19.6%
846
18.0%
동 211
 
4.5%
기 176
 
3.8%
시 176
 
3.8%
경 175
 
3.7%
도 172
 
3.7%
지 150
 
3.2%
번 128
 
2.7%
구 107
 
2.3%
Other values (245) 1631
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2795
59.6%
Other Punctuation 925
 
19.7%
Space Separator 846
 
18.0%
Dash Punctuation 99
 
2.1%
Uppercase Letter 23
 
0.5%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 211
 
7.5%
기 176
 
6.3%
시 176
 
6.3%
경 175
 
6.3%
도 172
 
6.2%
지 150
 
5.4%
번 128
 
4.6%
구 107
 
3.8%
양 86
 
3.1%
호 69
 
2.5%
Other values (224) 1345
48.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
17.4%
T 3
13.0%
R 2
8.7%
E 2
8.7%
W 2
8.7%
O 2
8.7%
U 2
8.7%
I 2
8.7%
L 1
 
4.3%
S 1
 
4.3%
Other values (2) 2
8.7%
Other Punctuation
ValueCountFrequency (%)
* 919
99.4%
. 3
 
0.3%
, 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2795
59.6%
Common 1872
39.9%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 211
 
7.5%
기 176
 
6.3%
시 176
 
6.3%
경 175
 
6.3%
도 172
 
6.2%
지 150
 
5.4%
번 128
 
4.6%
구 107
 
3.8%
양 86
 
3.1%
호 69
 
2.5%
Other values (224) 1345
48.1%
Latin
ValueCountFrequency (%)
B 4
16.7%
T 3
12.5%
R 2
8.3%
E 2
8.3%
W 2
8.3%
O 2
8.3%
U 2
8.3%
I 2
8.3%
L 1
 
4.2%
S 1
 
4.2%
Other values (3) 3
12.5%
Common
ValueCountFrequency (%)
* 919
49.1%
846
45.2%
- 99
 
5.3%
. 3
 
0.2%
, 2
 
0.1%
/ 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2795
59.6%
ASCII 1896
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 919
48.5%
846
44.6%
- 99
 
5.2%
B 4
 
0.2%
. 3
 
0.2%
T 3
 
0.2%
R 2
 
0.1%
E 2
 
0.1%
W 2
 
0.1%
O 2
 
0.1%
Other values (11) 14
 
0.7%
Hangul
ValueCountFrequency (%)
동 211
 
7.5%
기 176
 
6.3%
시 176
 
6.3%
경 175
 
6.3%
도 172
 
6.2%
지 150
 
5.4%
번 128
 
4.6%
구 107
 
3.8%
양 86
 
3.1%
호 69
 
2.5%
Other values (224) 1345
48.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)80.9%
Missing30
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean63030.539
Minimum10010
Maximum451805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:15:14.622519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10010
5-th percentile10364
Q110541
median13494
Q315461
95-th percentile435805
Maximum451805
Range441795
Interquartile range (IQR)4920

Descriptive statistics

Standard deviation136429.18
Coefficient of variation (CV)2.1644933
Kurtosis3.6396076
Mean63030.539
Median Absolute Deviation (MAD)2909
Skewness2.3607521
Sum8887306
Variance1.8612921 × 1010
MonotonicityNot monotonic
2023-12-11T06:15:14.744505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10881 6
 
3.5%
10401 4
 
2.3%
10403 4
 
2.3%
15461 2
 
1.2%
13487 2
 
1.2%
13591 2
 
1.2%
13590 2
 
1.2%
13486 2
 
1.2%
13494 2
 
1.2%
13595 2
 
1.2%
Other values (104) 113
66.1%
(Missing) 30
 
17.5%
ValueCountFrequency (%)
10010 1
0.6%
10042 1
0.6%
10048 1
0.6%
10073 1
0.6%
10110 1
0.6%
10307 1
0.6%
10313 1
0.6%
10364 1
0.6%
10370 1
0.6%
10372 1
0.6%
ValueCountFrequency (%)
451805 1
0.6%
449812 1
0.6%
446955 1
0.6%
442082 1
0.6%
441751 1
0.6%
440818 1
0.6%
440330 1
0.6%
435805 1
0.6%
429844 1
0.6%
425131 1
0.6%

WGS84위도
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)95.6%
Missing36
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean37.502585
Minimum36.955851
Maximum37.867909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:15:14.869639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.955851
5-th percentile37.282025
Q137.377135
median37.482228
Q337.656189
95-th percentile37.726891
Maximum37.867909
Range0.91205837
Interquartile range (IQR)0.27905376

Descriptive statistics

Standard deviation0.16484127
Coefficient of variation (CV)0.0043954641
Kurtosis-0.72155589
Mean37.502585
Median Absolute Deviation (MAD)0.15748266
Skewness-0.15294527
Sum5062.849
Variance0.027172643
MonotonicityNot monotonic
2023-12-11T06:15:14.997308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6548220944 2
 
1.2%
37.6341602962 2
 
1.2%
37.3135684121 2
 
1.2%
37.5015441631 2
 
1.2%
37.6441922923 2
 
1.2%
37.6564853341 2
 
1.2%
37.3200859527 1
 
0.6%
37.3820358571 1
 
0.6%
37.3627330375 1
 
0.6%
37.3031004202 1
 
0.6%
Other values (119) 119
69.6%
(Missing) 36
 
21.1%
ValueCountFrequency (%)
36.9558508975 1
0.6%
37.2423063749 1
0.6%
37.2533969421 1
0.6%
37.2537896999 1
0.6%
37.2687679664 1
0.6%
37.2698738667 1
0.6%
37.2761307718 1
0.6%
37.2845512017 1
0.6%
37.2892885315 1
0.6%
37.2909061686 1
0.6%
ValueCountFrequency (%)
37.8679092706 1
0.6%
37.7789723009 1
0.6%
37.7341378548 1
0.6%
37.7327774761 1
0.6%
37.731580048 1
0.6%
37.7298983357 1
0.6%
37.7285439565 1
0.6%
37.7261825555 1
0.6%
37.7234941946 1
0.6%
37.7183506667 1
0.6%

WGS84경도
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)95.6%
Missing36
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean126.9155
Minimum126.55494
Maximum127.4586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:15:15.123488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55494
5-th percentile126.68637
Q1126.77232
median126.85091
Q3127.09166
95-th percentile127.18615
Maximum127.4586
Range0.90366432
Interquartile range (IQR)0.31934324

Descriptive statistics

Standard deviation0.17289051
Coefficient of variation (CV)0.0013622489
Kurtosis-0.72049359
Mean126.9155
Median Absolute Deviation (MAD)0.12402676
Skewness0.37793985
Sum17133.593
Variance0.029891127
MonotonicityNot monotonic
2023-12-11T06:15:15.238096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7707679935 2
 
1.2%
127.2068403818 2
 
1.2%
126.8281902567 2
 
1.2%
126.7875459075 2
 
1.2%
126.7909463738 2
 
1.2%
126.7744702474 2
 
1.2%
126.8298816166 1
 
0.6%
126.8015889123 1
 
0.6%
126.8783094216 1
 
0.6%
126.8404810908 1
 
0.6%
Other values (119) 119
69.6%
(Missing) 36
 
21.1%
ValueCountFrequency (%)
126.5549405476 1
0.6%
126.6101104277 1
0.6%
126.621303491 1
0.6%
126.68187307 1
0.6%
126.6846100837 1
0.6%
126.6846721131 1
0.6%
126.6850744733 1
0.6%
126.6869240595 1
0.6%
126.6885540991 1
0.6%
126.6918883203 1
0.6%
ValueCountFrequency (%)
127.4586048632 1
0.6%
127.2674088888 1
0.6%
127.208868535 1
0.6%
127.2087088159 1
0.6%
127.2068403818 2
1.2%
127.1900882256 1
0.6%
127.1844688056 1
0.6%
127.1608911305 1
0.6%
127.1372517787 1
0.6%
127.1372022789 1
0.6%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)100.0%
Missing139
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean197916.18
Minimum160697.32
Maximum241702.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:15:15.353077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160697.32
5-th percentile175492.06
Q1180323.6
median198498.48
Q3210955.63
95-th percentile224222.12
Maximum241702.29
Range81004.967
Interquartile range (IQR)30632.034

Descriptive statistics

Standard deviation18889.623
Coefficient of variation (CV)0.095442542
Kurtosis-0.55231844
Mean197916.18
Median Absolute Deviation (MAD)14583.726
Skewness0.20963716
Sum6333317.8
Variance3.5681787 × 108
MonotonicityNot monotonic
2023-12-11T06:15:15.484342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
179617.123884015 1
 
0.6%
175792.246342415 1
 
0.6%
217689.568342079 1
 
0.6%
216397.787744469 1
 
0.6%
218091.759753711 1
 
0.6%
210020.904952566 1
 
0.6%
208993.591522238 1
 
0.6%
204761.416757033 1
 
0.6%
208940.745787289 1
 
0.6%
212094.981993322 1
 
0.6%
Other values (22) 22
 
12.9%
(Missing) 139
81.3%
ValueCountFrequency (%)
160697.318826944 1
0.6%
175125.168135978 1
0.6%
175792.246342415 1
0.6%
177849.195871901 1
0.6%
178668.321119565 1
0.6%
178846.543160954 1
0.6%
179617.123884015 1
0.6%
179714.785149788 1
0.6%
180526.536174181 1
0.6%
182415.491870149 1
0.6%
ValueCountFrequency (%)
241702.285954134 1
0.6%
231714.772994886 1
0.6%
218091.759753711 1
0.6%
217689.568342079 1
0.6%
216397.787744469 1
0.6%
213352.638752231 1
0.6%
212649.486418551 1
0.6%
212094.981993322 1
0.6%
210575.849151526 1
0.6%
210020.904952566 1
0.6%

Y좌표값
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)100.0%
Missing139
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean447837.01
Minimum388665.43
Maximum471808.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:15:15.609429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388665.43
5-th percentile416210.73
Q1433676.67
median454433.01
Q3461135.6
95-th percentile467194.47
Maximum471808.94
Range83143.517
Interquartile range (IQR)27458.922

Descriptive statistics

Standard deviation18725.318
Coefficient of variation (CV)0.041812797
Kurtosis1.771654
Mean447837.01
Median Absolute Deviation (MAD)8681.6482
Skewness-1.3055207
Sum14330784
Variance3.5063753 × 108
MonotonicityNot monotonic
2023-12-11T06:15:15.718381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
444263.585734036 1
 
0.6%
415317.593988416 1
 
0.6%
451018.120226221 1
 
0.6%
449859.673405934 1
 
0.6%
450614.564841249 1
 
0.6%
388665.426352825 1
 
0.6%
469561.661983424 1
 
0.6%
471808.943723376 1
 
0.6%
426247.566686926 1
 
0.6%
425705.802941671 1
 
0.6%
Other values (22) 22
 
12.9%
(Missing) 139
81.3%
ValueCountFrequency (%)
388665.426352825 1
0.6%
415317.593988416 1
0.6%
416941.485765237 1
0.6%
425705.802941671 1
0.6%
426247.566686926 1
0.6%
431131.442819099 1
0.6%
433114.505945345 1
0.6%
433474.488173333 1
0.6%
433744.070376682 1
0.6%
442242.106553369 1
0.6%
ValueCountFrequency (%)
471808.943723376 1
0.6%
469561.661983424 1
0.6%
465257.677068291 1
0.6%
463349.833038486 1
0.6%
463267.005753621 1
0.6%
462962.312594668 1
0.6%
462422.398390989 1
0.6%
461198.509404004 1
0.6%
461114.626096889 1
0.6%
460354.532842334 1
0.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영화배급업
169 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9883041
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 169
98.8%
<NA> 2
 
1.2%

Length

2023-12-11T06:15:15.834575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:15.935586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 169
98.8%
na 2
 
1.2%

총층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:16.044377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:16.216608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

지상층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:16.355131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:16.453176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

지하층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:16.559927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:16.659195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

통로너비
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:16.965710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:17.080073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

조명시설조도량
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:17.238868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:17.340341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

노래방실수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:17.437455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:17.544133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

청소년실수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:17.651057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:17.767319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
141 
0
30 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
82.5%
0 30
 
17.5%

Length

2023-12-11T06:15:17.906551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:18.036909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
82.5%
0 30
 
17.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명
0고양시(주)케이알씨지2015-11-06<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호10577<NA><NA><NA>191155.299952461114.626097영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
1고양시주식회사2023-04-03<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호10577<NA><NA><NA>191188.364866461198.509404영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
2고양시길갈2023-08-08<NA>13영업중<NA><NA><NA>10360경기도 고양시 일산서구 대산로 **, ***동 ****호 (주엽동, 강선마을*단지아파트)경기도 고양시 일산서구 주엽동 ** 강선마을*단지아파트<NA><NA><NA><NA>179714.78515463349.833038영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
3고양시영화로운 형제2023-05-31<NA>13영업중<NA><NA><NA>10510경기도 고양시 덕양구 지도로**번길 **, *층 (토당동)경기도 고양시 덕양구 토당동 ***-* *층10509<NA><NA><NA>184185.187464457638.572355영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
4고양시(주)인벤트스톤2012-05-09<NA>13영업중<NA><NA><NA>10543경기도 고양시 덕양구 으뜸로 ***, *동 ****호 (덕은동)경기도 고양시 덕양구 덕은동 * *동 ****호10544<NA><NA><NA><NA><NA>영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
5고양시걸리버픽처스2023-11-16<NA>13영업중<NA><NA><NA>10387경기도 고양시 일산서구 중앙로 ****, ***-*호 (주엽동)경기도 고양시 일산서구 주엽동 **-* 서현프라자<NA><NA><NA><NA>178668.32112463267.005754영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
6고양시시네마플러스코리아(주)2023-11-16<NA>13영업중<NA>031-971-5579<NA>10500경기도 고양시 덕양구 백양로 **, 동양트레벨II ****호 (화정동)경기도 고양시 덕양구 화정동 ***-* 동양트레벨II<NA><NA><NA><NA>185260.272933459039.869296영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
7고양시스튜디오 에이드2023-01-21<NA>13영업중<NA><NA><NA>10576경기도 고양시 덕양구 오금로 ***, ***동 지*,*,*층 *호 (오금동, 힐스테이트 라피아노 삼송)경기도 고양시 덕양구 오금동 *** 힐스테이트 라피아노 삼송 제지*,*,*층 ***동 *호<NA><NA><NA><NA>192235.548017462422.398391영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
8고양시(주)시네마케이2023-09-12<NA>13영업중<NA><NA><NA>10390경기도 고양시 일산서구 킨텍스로 ***, 일산 디엠시티 스카이뷰 사무동 ***호 (대화동)경기도 고양시 일산서구 대화동 ****-** 일산 디엠시티 스카이뷰<NA><NA><NA><NA>177849.195872462962.312595영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
9고양시영화사빅2023-08-23<NA>13영업중<NA><NA><NA>10584경기도 고양시 덕양구 안진로 **, ***호 (지축동)경기도 고양시 덕양구 지축동 ****-* ***호10585<NA><NA><NA><NA><NA>영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명
161파주시(주)명필름20090720<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 회동길 ***-** (문발동)경기도 파주시 문발동 ***번지1088137.723494126.693377<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162파주시(주)제이브로20170925<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 회동길 ***-**, *층 ***호 (서패동)경기도 파주시 서패동 ***번지1088137.716409126.691888<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163파주시제이와이필름20160607<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 청석로 ***, ***동 ****호 (다율동, 청석마을동문굿모닝힐)경기도 파주시 다율동 ***번지 청석마을 동문굿모닝힐 ***동 ****호1087637.73158126.720333<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
164평택시주식회사 티오케이2019-04-03<NA>13영업중<NA><NA><NA>17854경기도 평택시 비전*로 **-**, 광장 프라자 *층 (비전동)경기도 평택시 비전동 ****-* 광장 프라자<NA><NA><NA><NA>210020.904953388665.426353영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
165평택시(주)비오비시네마20100201<NA><NA>운영중<NA><NA><NA><NA>경기도 평택시 팽성읍 추팔산단로 ***경기도 평택시 팽성읍 추팔리 ***-*번지45180536.955851127.077873<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
166하남시주식회사 뉴토2023-04-21<NA>13영업중<NA><NA><NA>12925경기도 하남시 미사대로 ***, 현대지식산업센터 한강미사*차(**BL) A동 ****~****호 (덕풍동)경기도 하남시 덕풍동 *** 현대지식산업센터 한강미사*차(**BL)<NA><NA><NA><NA>218091.759754450614.564841영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
167하남시(주)좋은하늘2019-08-28<NA>13영업중<NA><NA><NA>12919경기도 하남시 조정대로 **, 미사강변 유림 노르웨이숲 *층 ***호 (풍산동)경기도 하남시 풍산동 ***-* 미사강변 유림 노르웨이숲 ***호<NA><NA><NA><NA>216397.787744449859.673406영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
168하남시주식회사 푸른나무픽쳐스20170530<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 조정대로 **, 미사센텀비즈 ****호 (풍산동)경기도 하남시 풍산동 ***번지 미사센텀비즈1291837.550692127.184469<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
169하남시주식회사 브이에이스튜디오2015-11-16<NA>15전출2023-04-17<NA><NA>12922경기도 하남시 미사강변한강로 *** (망월동)경기도 하남시 망월동 ****<NA><NA><NA><NA>217689.568342451018.120226영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>
170화성시(주)공룡알픽처스2013-10-11<NA>13영업중<NA><NA><NA>18547경기도 화성시 송산면 공룡로***번길 **-*, *층경기도 화성시 송산면 쌍정리 **-* *층<NA><NA><NA><NA>175792.246342415317.593988영화배급업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>