Overview

Dataset statistics

Number of variables41
Number of observations119
Missing cells2611
Missing cells (%)53.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.8 KiB
Average record size in memory360.1 B

Variable types

Categorical12
Text5
DateTime2
Unsupported17
Numeric5

Alerts

영업상태구분코드 is highly imbalanced (58.0%)Imbalance
문화체육업종명 is highly imbalanced (93.0%)Imbalance
인허가취소일자 has 119 (100.0%) missing valuesMissing
폐업일자 has 107 (89.9%) missing valuesMissing
소재지시설전화번호 has 116 (97.5%) missing valuesMissing
소재지면적정보 has 119 (100.0%) missing valuesMissing
도로명우편번호 has 102 (85.7%) missing valuesMissing
소재지도로명주소 has 3 (2.5%) missing valuesMissing
소재지우편번호 has 12 (10.1%) missing valuesMissing
WGS84위도 has 19 (16.0%) missing valuesMissing
WGS84경도 has 19 (16.0%) missing valuesMissing
업태구분명정보 has 119 (100.0%) missing valuesMissing
X좌표값 has 105 (88.2%) missing valuesMissing
Y좌표값 has 105 (88.2%) missing valuesMissing
주변환경명 has 119 (100.0%) missing valuesMissing
비상계단여부 has 119 (100.0%) missing valuesMissing
비상구여부 has 119 (100.0%) missing valuesMissing
자동환기여부 has 119 (100.0%) missing valuesMissing
청소년실여부 has 119 (100.0%) missing valuesMissing
특수조명여부 has 119 (100.0%) missing valuesMissing
방음시설여부 has 119 (100.0%) missing valuesMissing
비디오재생기명 has 119 (100.0%) missing valuesMissing
조명시설유무 has 119 (100.0%) missing valuesMissing
음향시설여부 has 119 (100.0%) missing valuesMissing
편의시설여부 has 119 (100.0%) missing valuesMissing
소방시설여부 has 119 (100.0%) missing valuesMissing
기존게임업외업종명 has 119 (100.0%) missing valuesMissing
제공게임물명 has 119 (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

Reproduction

Analysis started2023-12-10 22:23:10.290413
Analysis finished2023-12-10 22:23:10.915787
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct19
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
고양시
35 
성남시
25 
용인시
11 
부천시
7 
수원시
6 
Other values (14)
35 

Length

Max length4
Median length3
Mean length3.0336134
Min length3

Unique

Unique6 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 35
29.4%
성남시 25
21.0%
용인시 11
 
9.2%
부천시 7
 
5.9%
수원시 6
 
5.0%
안산시 6
 
5.0%
파주시 5
 
4.2%
안양시 5
 
4.2%
과천시 3
 
2.5%
김포시 3
 
2.5%
Other values (9) 13
 
10.9%

Length

2023-12-11T07:23:10.982810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 35
29.4%
성남시 25
21.0%
용인시 11
 
9.2%
부천시 7
 
5.9%
수원시 6
 
5.0%
안산시 6
 
5.0%
파주시 5
 
4.2%
안양시 5
 
4.2%
의정부시 3
 
2.5%
김포시 3
 
2.5%
Other values (9) 13
 
10.9%

사업장명
Text

Distinct114
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:23:11.214491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.4285714
Min length2

Characters and Unicode

Total characters1003
Distinct characters214
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

Unique110 ?
Unique (%)92.4%

Sample

1st row영화사빅
2nd row케이앤아이
3rd row주식회사 조이엔시네마
4th row(주)케이알씨지
5th row(주)스튜디오에이치앤비
ValueCountFrequency (%)
주식회사 21
 
13.5%
다우기술 3
 
1.9%
주)케이알씨지 2
 
1.3%
필름 2
 
1.3%
film 2
 
1.3%
영화사 2
 
1.3%
엔터테인먼트 2
 
1.3%
애니박스 2
 
1.3%
주)시공테크 2
 
1.3%
sec 1
 
0.6%
Other values (116) 116
74.8%
2023-12-11T07:23:11.533666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 88
 
8.8%
) 67
 
6.7%
( 66
 
6.6%
36
 
3.6%
이 31
 
3.1%
스 31
 
3.1%
사 27
 
2.7%
회 22
 
2.2%
식 22
 
2.2%
인 19
 
1.9%
Other values (204) 594
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
79.3%
Close Punctuation 67
 
6.7%
Open Punctuation 66
 
6.6%
Space Separator 36
 
3.6%
Lowercase Letter 16
 
1.6%
Uppercase Letter 10
 
1.0%
Decimal Number 7
 
0.7%
Other Symbol 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 88
 
11.1%
이 31
 
3.9%
스 31
 
3.9%
사 27
 
3.4%
회 22
 
2.8%
식 22
 
2.8%
인 19
 
2.4%
테 18
 
2.3%
디 18
 
2.3%
트 17
 
2.1%
Other values (177) 502
63.1%
Lowercase Letter
ValueCountFrequency (%)
l 3
18.8%
o 2
12.5%
m 2
12.5%
i 2
12.5%
e 2
12.5%
c 1
 
6.2%
s 1
 
6.2%
y 1
 
6.2%
k 1
 
6.2%
u 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
F 2
20.0%
K 2
20.0%
S 2
20.0%
C 1
10.0%
G 1
10.0%
Y 1
10.0%
B 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
7 1
14.3%
3 1
14.3%
2 1
14.3%
8 1
14.3%
6 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
79.9%
Common 176
 
17.5%
Latin 26
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 88
 
11.0%
이 31
 
3.9%
스 31
 
3.9%
사 27
 
3.4%
회 22
 
2.7%
식 22
 
2.7%
인 19
 
2.4%
테 18
 
2.2%
디 18
 
2.2%
트 17
 
2.1%
Other values (178) 508
63.4%
Latin
ValueCountFrequency (%)
l 3
11.5%
F 2
 
7.7%
K 2
 
7.7%
S 2
 
7.7%
o 2
 
7.7%
m 2
 
7.7%
i 2
 
7.7%
e 2
 
7.7%
C 1
 
3.8%
G 1
 
3.8%
Other values (7) 7
26.9%
Common
ValueCountFrequency (%)
) 67
38.1%
( 66
37.5%
36
20.5%
1 2
 
1.1%
7 1
 
0.6%
3 1
 
0.6%
2 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 795
79.3%
ASCII 202
 
20.1%
None 6
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 88
 
11.1%
이 31
 
3.9%
스 31
 
3.9%
사 27
 
3.4%
회 22
 
2.8%
식 22
 
2.8%
인 19
 
2.4%
테 18
 
2.3%
디 18
 
2.3%
트 17
 
2.1%
Other values (177) 502
63.1%
ASCII
ValueCountFrequency (%)
) 67
33.2%
( 66
32.7%
36
17.8%
l 3
 
1.5%
F 2
 
1.0%
1 2
 
1.0%
K 2
 
1.0%
S 2
 
1.0%
o 2
 
1.0%
m 2
 
1.0%
Other values (16) 18
 
8.9%
None
ValueCountFrequency (%)
㈜ 6
100.0%

인허가일자
Date

Distinct109
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1996-02-06 00:00:00
Maximum2023-08-23 00:00:00
2023-12-11T07:23:11.646232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:11.750638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
102 
13
15 
15
 
2

Length

Max length4
Median length4
Mean length3.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 102
85.7%
13 15
 
12.6%
15 2
 
1.7%

Length

2023-12-11T07:23:11.855834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:11.939768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
85.7%
13 15
 
12.6%
15 2
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
운영중
92 
영업중
15 
폐업 등
10 
전출
 
2

Length

Max length4
Median length3
Mean length3.0672269
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 92
77.3%
영업중 15
 
12.6%
폐업 등 10
 
8.4%
전출 2
 
1.7%

Length

2023-12-11T07:23:12.038026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:12.151377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 92
71.3%
영업중 15
 
11.6%
폐업 10
 
7.8%
등 10
 
7.8%
전출 2
 
1.6%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing107
Missing (%)89.9%
Memory size1.1 KiB
Minimum2011-05-20 00:00:00
Maximum2023-11-17 00:00:00
2023-12-11T07:23:12.237732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:12.525261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

소재지시설전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing116
Missing (%)97.5%
Memory size1.1 KiB
2023-12-11T07:23:12.640765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.333333
Min length12

Characters and Unicode

Total characters37
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

Unique3 ?
Unique (%)100.0%

Sample

1st row02-3158-2023
2nd row031-909-1011
3rd row070-8707-1005
ValueCountFrequency (%)
02-3158-2023 1
33.3%
031-909-1011 1
33.3%
070-8707-1005 1
33.3%
2023-12-11T07:23:12.847709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
27.0%
- 6
16.2%
1 6
16.2%
2 3
 
8.1%
3 3
 
8.1%
7 3
 
8.1%
5 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
83.8%
Dash Punctuation 6
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
32.3%
1 6
19.4%
2 3
 
9.7%
3 3
 
9.7%
7 3
 
9.7%
5 2
 
6.5%
8 2
 
6.5%
9 2
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
27.0%
- 6
16.2%
1 6
16.2%
2 3
 
8.1%
3 3
 
8.1%
7 3
 
8.1%
5 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
27.0%
- 6
16.2%
1 6
16.2%
2 3
 
8.1%
3 3
 
8.1%
7 3
 
8.1%
5 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

도로명우편번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing102
Missing (%)85.7%
Memory size1.1 KiB
2023-12-11T07:23:12.976543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2352941
Min length5

Characters and Unicode

Total characters89
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

Unique15 ?
Unique (%)88.2%

Sample

1st row10584
2nd row10401
3rd row10592
4th row10592
5th row10541
ValueCountFrequency (%)
10592 2
 
11.8%
12248 1
 
5.9%
10541 1
 
5.9%
10543 1
 
5.9%
10360 1
 
5.9%
10210 1
 
5.9%
10401 1
 
5.9%
463-400 1
 
5.9%
13486 1
 
5.9%
16697 1
 
5.9%
Other values (6) 6
35.3%
2023-12-11T07:23:13.215009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
22.5%
0 14
15.7%
4 14
15.7%
5 8
 
9.0%
8 7
 
7.9%
6 7
 
7.9%
3 6
 
6.7%
2 5
 
5.6%
9 3
 
3.4%
7 3
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
97.8%
Dash Punctuation 2
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
23.0%
0 14
16.1%
4 14
16.1%
5 8
 
9.2%
8 7
 
8.0%
6 7
 
8.0%
3 6
 
6.9%
2 5
 
5.7%
9 3
 
3.4%
7 3
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
22.5%
0 14
15.7%
4 14
15.7%
5 8
 
9.0%
8 7
 
7.9%
6 7
 
7.9%
3 6
 
6.7%
2 5
 
5.6%
9 3
 
3.4%
7 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
22.5%
0 14
15.7%
4 14
15.7%
5 8
 
9.0%
8 7
 
7.9%
6 7
 
7.9%
3 6
 
6.7%
2 5
 
5.6%
9 3
 
3.4%
7 3
 
3.4%

소재지도로명주소
Text

MISSING 

Distinct111
Distinct (%)95.7%
Missing3
Missing (%)2.5%
Memory size1.1 KiB
2023-12-11T07:23:13.455899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length36.758621
Min length15

Characters and Unicode

Total characters4264
Distinct characters266
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

Unique106 ?
Unique (%)91.4%

Sample

1st row경기도 고양시 덕양구 안진로 **, ***호 (지축동)
2nd row경기도 고양시 일산동구 무궁화로 **, 한라밀라트 씨동 ***호 (장항동)
3rd row경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)
4th row경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)
5th row경기도 고양시 덕양구 덕은*로 **, *층 (덕은동)
ValueCountFrequency (%)
경기도 116
 
13.6%
116
 
13.6%
호 62
 
7.3%
고양시 35
 
4.1%
성남시 25
 
2.9%
분당구 21
 
2.5%
층 19
 
2.2%
일산동구 17
 
2.0%
동 15
 
1.8%
덕양구 15
 
1.8%
Other values (282) 410
48.2%
2023-12-11T07:23:13.882198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
750
17.6%
* 713
 
16.7%
동 166
 
3.9%
, 138
 
3.2%
시 124
 
2.9%
기 121
 
2.8%
경 118
 
2.8%
도 117
 
2.7%
로 109
 
2.6%
( 107
 
2.5%
Other values (256) 1801
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2383
55.9%
Other Punctuation 855
 
20.1%
Space Separator 750
 
17.6%
Open Punctuation 107
 
2.5%
Close Punctuation 107
 
2.5%
Uppercase Letter 30
 
0.7%
Dash Punctuation 27
 
0.6%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 166
 
7.0%
시 124
 
5.2%
기 121
 
5.1%
경 118
 
5.0%
도 117
 
4.9%
로 109
 
4.6%
구 89
 
3.7%
호 74
 
3.1%
양 64
 
2.7%
산 46
 
1.9%
Other values (227) 1355
56.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
26.7%
A 4
13.3%
M 2
 
6.7%
C 2
 
6.7%
I 2
 
6.7%
E 2
 
6.7%
O 1
 
3.3%
Z 1
 
3.3%
D 1
 
3.3%
H 1
 
3.3%
Other values (6) 6
20.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
a 1
20.0%
i 1
20.0%
t 1
20.0%
y 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 713
83.4%
, 138
 
16.1%
. 3
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
750
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2383
55.9%
Common 1846
43.3%
Latin 35
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 166
 
7.0%
시 124
 
5.2%
기 121
 
5.1%
경 118
 
5.0%
도 117
 
4.9%
로 109
 
4.6%
구 89
 
3.7%
호 74
 
3.1%
양 64
 
2.7%
산 46
 
1.9%
Other values (227) 1355
56.9%
Latin
ValueCountFrequency (%)
B 8
22.9%
A 4
 
11.4%
M 2
 
5.7%
C 2
 
5.7%
I 2
 
5.7%
E 2
 
5.7%
O 1
 
2.9%
Z 1
 
2.9%
D 1
 
2.9%
H 1
 
2.9%
Other values (11) 11
31.4%
Common
ValueCountFrequency (%)
750
40.6%
* 713
38.6%
, 138
 
7.5%
( 107
 
5.8%
) 107
 
5.8%
- 27
 
1.5%
. 3
 
0.2%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2383
55.9%
ASCII 1881
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
750
39.9%
* 713
37.9%
, 138
 
7.3%
( 107
 
5.7%
) 107
 
5.7%
- 27
 
1.4%
B 8
 
0.4%
A 4
 
0.2%
. 3
 
0.2%
M 2
 
0.1%
Other values (19) 22
 
1.2%
Hangul
ValueCountFrequency (%)
동 166
 
7.0%
시 124
 
5.2%
기 121
 
5.1%
경 118
 
5.0%
도 117
 
4.9%
로 109
 
4.6%
구 89
 
3.7%
호 74
 
3.1%
양 64
 
2.7%
산 46
 
1.9%
Other values (227) 1355
56.9%

소재지지번주소
Text

Distinct109
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:23:14.156106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38
Mean length28.117647
Min length10

Characters and Unicode

Total characters3346
Distinct characters222
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

Unique99 ?
Unique (%)83.2%

Sample

1st row경기도 고양시 덕양구 지축동 ****-* ***호
2nd row경기도 고양시 일산동구 장항동 ***-* 한라밀라트 씨동 ***호
3rd row경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호
4th row경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호
5th row경기도 고양시 덕양구 덕은동 ***-* *층
ValueCountFrequency (%)
경기도 119
 
16.9%
번지 95
 
13.5%
호 45
 
6.4%
고양시 35
 
5.0%
성남시 25
 
3.6%
분당구 21
 
3.0%
일산동구 17
 
2.4%
17
 
2.4%
덕양구 15
 
2.1%
용인시 11
 
1.6%
Other values (183) 303
43.1%
2023-12-11T07:23:14.556703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 634
18.9%
596
17.8%
동 157
 
4.7%
시 124
 
3.7%
기 123
 
3.7%
경 120
 
3.6%
도 119
 
3.6%
지 113
 
3.4%
번 95
 
2.8%
구 91
 
2.7%
Other values (212) 1174
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2019
60.3%
Other Punctuation 638
 
19.1%
Space Separator 596
 
17.8%
Dash Punctuation 67
 
2.0%
Uppercase Letter 19
 
0.6%
Lowercase Letter 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 157
 
7.8%
시 124
 
6.1%
기 123
 
6.1%
경 120
 
5.9%
도 119
 
5.9%
지 113
 
5.6%
번 95
 
4.7%
구 91
 
4.5%
양 62
 
3.1%
호 52
 
2.6%
Other values (189) 963
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
31.6%
E 2
 
10.5%
C 2
 
10.5%
M 2
 
10.5%
Z 1
 
5.3%
S 1
 
5.3%
K 1
 
5.3%
X 1
 
5.3%
L 1
 
5.3%
P 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
a 1
20.0%
y 1
20.0%
t 1
20.0%
i 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 634
99.4%
. 3
 
0.5%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2019
60.3%
Common 1303
38.9%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 157
 
7.8%
시 124
 
6.1%
기 123
 
6.1%
경 120
 
5.9%
도 119
 
5.9%
지 113
 
5.6%
번 95
 
4.7%
구 91
 
4.5%
양 62
 
3.1%
호 52
 
2.6%
Other values (189) 963
47.7%
Latin
ValueCountFrequency (%)
B 6
25.0%
E 2
 
8.3%
C 2
 
8.3%
M 2
 
8.3%
Z 1
 
4.2%
c 1
 
4.2%
a 1
 
4.2%
S 1
 
4.2%
K 1
 
4.2%
y 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
* 634
48.7%
596
45.7%
- 67
 
5.1%
. 3
 
0.2%
/ 1
 
0.1%
) 1
 
0.1%
( 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2019
60.3%
ASCII 1327
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 634
47.8%
596
44.9%
- 67
 
5.0%
B 6
 
0.5%
. 3
 
0.2%
E 2
 
0.2%
C 2
 
0.2%
M 2
 
0.2%
Z 1
 
0.1%
/ 1
 
0.1%
Other values (13) 13
 
1.0%
Hangul
ValueCountFrequency (%)
동 157
 
7.8%
시 124
 
6.1%
기 123
 
6.1%
경 120
 
5.9%
도 119
 
5.9%
지 113
 
5.6%
번 95
 
4.7%
구 91
 
4.5%
양 62
 
3.1%
호 52
 
2.6%
Other values (189) 963
47.7%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)86.0%
Missing12
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean86204.336
Minimum10042
Maximum449812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:23:14.686666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10042
5-th percentile10395.4
Q110733
median13595
Q316508
95-th percentile434310.7
Maximum449812
Range439770
Interquartile range (IQR)5775

Descriptive statistics

Standard deviation158400.25
Coefficient of variation (CV)1.8374975
Kurtosis0.97748589
Mean86204.336
Median Absolute Deviation (MAD)2914
Skewness1.7168929
Sum9223864
Variance2.5090639 × 1010
MonotonicityNot monotonic
2023-12-11T07:23:14.803873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10403 4
 
3.4%
412271 3
 
2.5%
10577 2
 
1.7%
13595 2
 
1.7%
10449 2
 
1.7%
13559 2
 
1.7%
13486 2
 
1.7%
10497 2
 
1.7%
13494 2
 
1.7%
10881 2
 
1.7%
Other values (82) 84
70.6%
(Missing) 12
 
10.1%
ValueCountFrequency (%)
10042 1
 
0.8%
10048 1
 
0.8%
10073 1
 
0.8%
10364 1
 
0.8%
10383 1
 
0.8%
10393 1
 
0.8%
10401 1
 
0.8%
10402 1
 
0.8%
10403 4
3.4%
10404 1
 
0.8%
ValueCountFrequency (%)
449812 1
0.8%
448504 1
0.8%
446955 1
0.8%
443749 1
0.8%
440818 1
0.8%
435805 1
0.8%
430824 1
0.8%
429844 1
0.8%
422823 1
0.8%
420827 1
0.8%

WGS84위도
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)95.0%
Missing19
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean37.488493
Minimum37.25379
Maximum37.778972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:23:14.964036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.25379
5-th percentile37.294305
Q137.362675
median37.437529
Q337.63988
95-th percentile37.718032
Maximum37.778972
Range0.5251826
Interquartile range (IQR)0.27720585

Descriptive statistics

Standard deviation0.14729436
Coefficient of variation (CV)0.0039290551
Kurtosis-1.4227341
Mean37.488493
Median Absolute Deviation (MAD)0.1188271
Skewness0.26971715
Sum3748.8493
Variance0.021695627
MonotonicityNot monotonic
2023-12-11T07:23:15.123550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6360673422 2
 
1.7%
37.362498941 2
 
1.7%
37.6564853341 2
 
1.7%
37.6441922923 2
 
1.7%
37.6636912131 2
 
1.7%
37.5875001832 1
 
0.8%
37.2909061686 1
 
0.8%
37.3129821333 1
 
0.8%
37.3031004202 1
 
0.8%
37.3194575752 1
 
0.8%
Other values (85) 85
71.4%
(Missing) 19
 
16.0%
ValueCountFrequency (%)
37.2537896999 1
0.8%
37.2698738667 1
0.8%
37.2905051671 1
0.8%
37.2909061686 1
0.8%
37.2925414782 1
0.8%
37.294397567 1
0.8%
37.3031004202 1
0.8%
37.3129821333 1
0.8%
37.3140161364 1
0.8%
37.3164322082 1
0.8%
ValueCountFrequency (%)
37.7789723009 1
0.8%
37.7394298725 1
0.8%
37.7341378548 1
0.8%
37.7285439565 1
0.8%
37.7261825555 1
0.8%
37.7176026796 1
0.8%
37.7164087121 1
0.8%
37.715923924 1
0.8%
37.6710461481 1
0.8%
37.6642879953 1
0.8%

WGS84경도
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)95.0%
Missing19
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean126.93141
Minimum126.55494
Maximum127.26741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:23:15.255803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55494
5-th percentile126.69164
Q1126.78637
median126.87452
Q3127.10386
95-th percentile127.14028
Maximum127.26741
Range0.71246834
Interquartile range (IQR)0.31749402

Descriptive statistics

Standard deviation0.16407986
Coefficient of variation (CV)0.0012926656
Kurtosis-1.3010713
Mean126.93141
Median Absolute Deviation (MAD)0.12630805
Skewness0.013923128
Sum12693.141
Variance0.026922202
MonotonicityNot monotonic
2023-12-11T07:23:15.380181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.831961552 2
 
1.7%
127.1075530206 2
 
1.7%
126.7744702474 2
 
1.7%
126.7909463738 2
 
1.7%
126.7707832758 2
 
1.7%
126.8707248416 1
 
0.8%
127.0162136916 1
 
0.8%
126.8573338678 1
 
0.8%
126.8404810908 1
 
0.8%
126.7976878007 1
 
0.8%
Other values (85) 85
71.4%
(Missing) 19
 
16.0%
ValueCountFrequency (%)
126.5549405476 1
0.8%
126.621303491 1
0.8%
126.68187307 1
0.8%
126.6846100837 1
0.8%
126.6869240595 1
0.8%
126.6918883203 1
0.8%
126.7091178985 1
0.8%
126.7506750087 1
0.8%
126.7553040519 1
0.8%
126.7582561649 1
0.8%
ValueCountFrequency (%)
127.2674088888 1
0.8%
127.2087088159 1
0.8%
127.1698572002 1
0.8%
127.1608911305 1
0.8%
127.142829157 1
0.8%
127.1401454529 1
0.8%
127.1372517787 1
0.8%
127.1372022789 1
0.8%
127.1266930553 1
0.8%
127.1218892458 1
0.8%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing105
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean194144.2
Minimum175125.17
Maximum213352.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:23:15.485722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175125.17
5-th percentile175558.77
Q1179430.23
median191171.83
Q3209343.13
95-th percentile212535.16
Maximum213352.64
Range38227.471
Interquartile range (IQR)29912.901

Descriptive statistics

Standard deviation15163.272
Coefficient of variation (CV)0.078103142
Kurtosis-1.8880047
Mean194144.2
Median Absolute Deviation (MAD)14975.448
Skewness0.022311479
Sum2718018.9
Variance2.2992483 × 108
MonotonicityNot monotonic
2023-12-11T07:23:15.582238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
179335.375339512 1
 
0.8%
191188.364865683 1
 
0.8%
191155.299951584 1
 
0.8%
188937.005454195 1
 
0.8%
179714.785149788 1
 
0.8%
175125.168135978 1
 
0.8%
213352.638752231 1
 
0.8%
209499.037600115 1
 
0.8%
208875.401407257 1
 
0.8%
205743.142890973 1
 
0.8%
Other values (4) 4
 
3.4%
(Missing) 105
88.2%
ValueCountFrequency (%)
175125.168135978 1
0.8%
175792.246342415 1
0.8%
177184.509415553 1
0.8%
179335.375339512 1
0.8%
179714.785149788 1
0.8%
188937.005454195 1
0.8%
191155.299951584 1
0.8%
191188.364865683 1
0.8%
205743.142890973 1
0.8%
208875.401407257 1
0.8%
ValueCountFrequency (%)
213352.638752231 1
0.8%
212094.981993322 1
0.8%
210020.904952566 1
0.8%
209499.037600115 1
0.8%
208875.401407257 1
0.8%
205743.142890973 1
0.8%
191188.364865683 1
0.8%
191155.299951584 1
0.8%
188937.005454195 1
0.8%
179714.785149788 1
0.8%

Y좌표값
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing105
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean443927.65
Minimum388665.43
Maximum477953.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:23:15.684135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388665.43
5-th percentile405989.34
Q1427557.98
median455371.58
Q3461912.2
95-th percentile469701.35
Maximum477953.89
Range89288.462
Interquartile range (IQR)34354.22

Descriptive statistics

Standard deviation25329.456
Coefficient of variation (CV)0.057057621
Kurtosis-0.072214332
Mean443927.65
Median Absolute Deviation (MAD)15891.594
Skewness-0.7977292
Sum6214987.1
Variance6.4158132 × 108
MonotonicityNot monotonic
2023-12-11T07:23:15.786169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
462150.094798268 1
 
0.8%
461198.509404004 1
 
0.8%
461114.626096889 1
 
0.8%
453958.900009525 1
 
0.8%
463349.833038486 1
 
0.8%
465257.677068291 1
 
0.8%
456784.268068925 1
 
0.8%
433114.505945345 1
 
0.8%
433474.488173333 1
 
0.8%
416941.485765237 1
 
0.8%
Other values (4) 4
 
3.4%
(Missing) 105
88.2%
ValueCountFrequency (%)
388665.426352825 1
0.8%
415317.593988416 1
0.8%
416941.485765237 1
0.8%
425705.802941671 1
0.8%
433114.505945345 1
0.8%
433474.488173333 1
0.8%
453958.900009525 1
0.8%
456784.268068925 1
0.8%
461114.626096889 1
0.8%
461198.509404004 1
0.8%
ValueCountFrequency (%)
477953.888792911 1
0.8%
465257.677068291 1
0.8%
463349.833038486 1
0.8%
462150.094798268 1
0.8%
461198.509404004 1
0.8%
461114.626096889 1
0.8%
456784.268068925 1
0.8%
453958.900009525 1
0.8%
433474.488173333 1
0.8%
433114.505945345 1
0.8%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영화수입업
118 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9915966
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 118
99.2%
<NA> 1
 
0.8%

Length

2023-12-11T07:23:15.894956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:15.979738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 118
99.2%
na 1
 
0.8%

총층수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:16.075410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:16.196008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

지상층수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:16.306915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:16.398977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

지하층수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:16.561608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:16.655208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

통로너비
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:16.772074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:16.865736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

조명시설조도량
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:16.956843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:17.052419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

노래방실수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:17.154691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:17.270455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

청소년실수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:17.379963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:17.485692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
0
15 

Length

Max length4
Median length4
Mean length3.6218487
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
87.4%
0 15
 
12.6%

Length

2023-12-11T07:23:17.576217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:17.659844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
87.4%
0 15
 
12.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명
0고양시영화사빅2023-08-23<NA>13영업중<NA><NA><NA>10584경기도 고양시 덕양구 안진로 **, ***호 (지축동)경기도 고양시 덕양구 지축동 ****-* ***호10585<NA><NA><NA><NA><NA>영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
1고양시케이앤아이2023-04-05<NA>13영업중<NA><NA><NA>10401경기도 고양시 일산동구 무궁화로 **, 한라밀라트 씨동 ***호 (장항동)경기도 고양시 일산동구 장항동 ***-* 한라밀라트 씨동 ***호<NA><NA><NA><NA>179335.37534462150.094798영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
2고양시주식회사 조이엔시네마2023-04-03<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호10577<NA><NA><NA>191188.364866461198.509404영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
3고양시(주)케이알씨지2009-10-28<NA>13영업중<NA><NA><NA>10592경기도 고양시 덕양구 삼송로 ***, 힐스테이트삼송역스칸센 ***동 ****호 (삼송동)경기도 고양시 덕양구 삼송동 *** 힐스테이트삼송역스칸센 ***동 ****호10577<NA><NA><NA>191155.299952461114.626097영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
4고양시(주)스튜디오에이치앤비2023-06-02<NA>13영업중<NA>02-3158-2023<NA>10541경기도 고양시 덕양구 덕은*로 **, *층 (덕은동)경기도 고양시 덕양구 덕은동 ***-* *층10544<NA><NA><NA>188937.005454453958.90001영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
5고양시(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>영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
6고양시길갈2023-08-08<NA>13영업중<NA><NA><NA>10360경기도 고양시 일산서구 대산로 **, ***동 ****호 (주엽동, 강선마을*단지아파트)경기도 고양시 일산서구 주엽동 ** 강선마을*단지아파트<NA><NA><NA><NA>179714.78515463349.833038영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
7고양시(주)이씨에스2023-04-14<NA>13영업중<NA>031-909-1011<NA>10210경기도 고양시 일산서구 가좌*로 **, ***동 ***호 (가좌동, 가좌마을*단지아파트)경기도 고양시 일산서구 가좌동 **** 가좌마을*단지아파트<NA><NA><NA><NA>175125.168136465257.677068영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
8고양시(주)메타플레이20131127<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 일산로 **-**, ***호 (백석동, 대방샤인밸리)경기도 고양시 일산동구 백석동 ****-*번지 대방샤인밸리 ***호1045037.644192126.790946<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시(주)레인보우팩토리20120306<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 고봉로 **-**, ***호 (장항동, 남정씨티프라자*차)경기도 고양시 일산동구 장항동 ***-*번지1036437.664288126.76673<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명
109의정부시(주)태흥영화19960206<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 행복로 * (의정부동)경기도 의정부시 의정부동 ***-*번지1169537.73943127.047994<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
110의정부시삼라(주)시네마20140911<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 범골로 *** (의정부동, 삼라빌딩 본관 ***호)경기도 의정부시 의정부동 ***-*번지1162537.734138127.038369<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111의정부시코인미디어20090622<NA><NA>폐업 등20150831<NA><NA><NA>경기도 의정부시 신곡로 **, ***동 ****호 (신곡동, 현대*차아파트)경기도 의정부시 신곡동 ***-*번지1173337.728544127.055652<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
112파주시(주)갤리온엔터테인먼트2022-09-27<NA>13영업중<NA><NA><NA>10846경기도 파주시 탄현면 축현산단로 **-**, *층경기도 파주시 탄현면 축현리 ***<NA><NA><NA><NA>177184.509416477953.888793영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
113파주시(주)에프알엔터테인먼트20020515<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 파주시 탄현면 성동리 ***번지41384137.778972126.68461<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
114파주시주식회사 진풍경20150601<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 운정*길 ** (상지석동)경기도 파주시 상지석동 ***-**번지1091037.726183126.77126<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
115파주시(주)에스엠라이프디자인그룹20041227<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 직지길 *** (문발동)경기도 파주시 문발동 ***-*번지1088137.715924126.686924<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
116파주시(주)제이브로20170925<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 회동길 ***-**, *층 ***호 (서패동)경기도 파주시 서패동 ***번지1088137.716409126.691888<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
117평택시주식회사 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>210020.904953388665.426353영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
118화성시(주)공룡알픽처스2013-10-11<NA>13영업중<NA><NA><NA>18547경기도 화성시 송산면 공룡로***번길 **-*, *층경기도 화성시 송산면 쌍정리 **-* *층<NA><NA><NA><NA>175792.246342415317.593988영화수입업0<NA>000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>