Overview

Dataset statistics

Number of variables42
Number of observations132
Missing cells2959
Missing cells (%)53.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory366.0 B

Variable types

Categorical12
Text7
DateTime2
Unsupported14
Numeric7

Dataset

Description음반.음악영상물 배급업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=998U3Z7PL5BM2OQ2W32X1553939&infSeq=1

Alerts

인허가취소일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지역구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (57.5%)Imbalance
지상층수 is highly imbalanced (52.9%)Imbalance
인허가취소일자 has 131 (99.2%) missing valuesMissing
폐업일자 has 100 (75.8%) missing valuesMissing
소재지시설전화번호 has 126 (95.5%) missing valuesMissing
소재지면적정보 has 132 (100.0%) missing valuesMissing
도로명우편번호 has 107 (81.1%) missing valuesMissing
소재지우편번호 has 23 (17.4%) missing valuesMissing
WGS84위도 has 25 (18.9%) missing valuesMissing
WGS84경도 has 25 (18.9%) missing valuesMissing
업태구분명정보 has 132 (100.0%) missing valuesMissing
X좌표값 has 108 (81.8%) missing valuesMissing
Y좌표값 has 108 (81.8%) missing valuesMissing
주변환경명 has 132 (100.0%) missing valuesMissing
제작취급품목내용 has 119 (90.2%) missing valuesMissing
시설면적 has 107 (81.1%) missing valuesMissing
비상계단여부 has 132 (100.0%) missing valuesMissing
비상구여부 has 132 (100.0%) missing valuesMissing
특수조명여부 has 132 (100.0%) missing valuesMissing
방음시설여부 has 132 (100.0%) missing valuesMissing
비디오재생기명 has 132 (100.0%) missing valuesMissing
조명시설유무 has 132 (100.0%) missing valuesMissing
음향시설여부 has 132 (100.0%) missing valuesMissing
소방시설여부 has 132 (100.0%) missing valuesMissing
제공게임물명 has 132 (100.0%) missing valuesMissing
공연장형태구분명 has 132 (100.0%) missing valuesMissing
최초등록시점 has 132 (100.0%) missing valuesMissing
지역구분명 has 131 (99.2%) missing valuesMissing
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
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
소방시설여부 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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 12 (9.1%) zerosZeros

Reproduction

Analysis started2023-12-10 22:14:13.670476
Analysis finished2023-12-10 22:14:14.301552
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct25
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
고양시
28 
성남시
27 
용인시
10 
파주시
9 
수원시
9 
Other values (20)
49 

Length

Max length4
Median length3
Mean length3.0378788
Min length3

Unique

Unique7 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 28
21.2%
성남시 27
20.5%
용인시 10
 
7.6%
파주시 9
 
6.8%
수원시 9
 
6.8%
안산시 6
 
4.5%
광명시 6
 
4.5%
남양주시 4
 
3.0%
시흥시 3
 
2.3%
광주시 3
 
2.3%
Other values (15) 27
20.5%

Length

2023-12-11T07:14:14.367557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 28
21.2%
성남시 27
20.5%
용인시 10
 
7.6%
파주시 9
 
6.8%
수원시 9
 
6.8%
안산시 6
 
4.5%
광명시 6
 
4.5%
남양주시 4
 
3.0%
구리시 3
 
2.3%
여주시 3
 
2.3%
Other values (15) 27
20.5%

사업장명
Text

Distinct127
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T07:14:14.589785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length16
Mean length8.5757576
Min length3

Characters and Unicode

Total characters1132
Distinct characters252
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

Unique122 ?
Unique (%)92.4%

Sample

1st row주식회사 패러블엔터테인먼트
2nd row디바인
3rd row찬스라인
4th row박세민 무비프로덕션
5th row한솔미디어텍
ValueCountFrequency (%)
주식회사 14
 
7.4%
music 5
 
2.6%
주)오콘 2
 
1.1%
교보핫트랙스(주 2
 
1.1%
랑랑미디어 2
 
1.1%
주)엔에이치엔벅스 2
 
1.1%
영상제작실 2
 
1.1%
주)에이앤지모즈 2
 
1.1%
미디어 2
 
1.1%
영상물 1
 
0.5%
Other values (155) 155
82.0%
2023-12-11T07:14:14.980013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
5.0%
주 55
 
4.9%
) 48
 
4.2%
( 47
 
4.2%
이 39
 
3.4%
스 29
 
2.6%
디 23
 
2.0%
사 20
 
1.8%
엔 19
 
1.7%
뮤 18
 
1.6%
Other values (242) 777
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 818
72.3%
Uppercase Letter 80
 
7.1%
Lowercase Letter 74
 
6.5%
Space Separator 57
 
5.0%
Close Punctuation 48
 
4.2%
Open Punctuation 47
 
4.2%
Decimal Number 4
 
0.4%
Other Punctuation 2
 
0.2%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
6.7%
이 39
 
4.8%
스 29
 
3.5%
디 23
 
2.8%
사 20
 
2.4%
엔 19
 
2.3%
뮤 18
 
2.2%
인 17
 
2.1%
아 17
 
2.1%
회 17
 
2.1%
Other values (191) 564
68.9%
Uppercase Letter
ValueCountFrequency (%)
M 13
16.2%
I 8
 
10.0%
C 7
 
8.8%
S 6
 
7.5%
N 5
 
6.2%
U 5
 
6.2%
O 5
 
6.2%
A 4
 
5.0%
T 4
 
5.0%
E 3
 
3.8%
Other values (11) 20
25.0%
Lowercase Letter
ValueCountFrequency (%)
i 8
10.8%
n 8
10.8%
o 7
9.5%
a 7
9.5%
t 7
9.5%
e 7
9.5%
s 6
8.1%
u 4
 
5.4%
m 4
 
5.4%
r 3
 
4.1%
Other values (10) 13
17.6%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
2 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
72.3%
Common 159
 
14.0%
Latin 154
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
6.7%
이 39
 
4.8%
스 29
 
3.5%
디 23
 
2.8%
사 20
 
2.4%
엔 19
 
2.3%
뮤 18
 
2.2%
인 17
 
2.1%
아 17
 
2.1%
회 17
 
2.1%
Other values (192) 565
69.0%
Latin
ValueCountFrequency (%)
M 13
 
8.4%
i 8
 
5.2%
I 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
a 7
 
4.5%
t 7
 
4.5%
e 7
 
4.5%
C 7
 
4.5%
S 6
 
3.9%
Other values (31) 76
49.4%
Common
ValueCountFrequency (%)
57
35.8%
) 48
30.2%
( 47
29.6%
8 2
 
1.3%
' 1
 
0.6%
2 1
 
0.6%
5 1
 
0.6%
- 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 818
72.3%
ASCII 313
 
27.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
18.2%
) 48
15.3%
( 47
15.0%
M 13
 
4.2%
i 8
 
2.6%
I 8
 
2.6%
n 8
 
2.6%
o 7
 
2.2%
a 7
 
2.2%
t 7
 
2.2%
Other values (40) 103
32.9%
Hangul
ValueCountFrequency (%)
주 55
 
6.7%
이 39
 
4.8%
스 29
 
3.5%
디 23
 
2.8%
사 20
 
2.4%
엔 19
 
2.3%
뮤 18
 
2.2%
인 17
 
2.1%
아 17
 
2.1%
회 17
 
2.1%
Other values (191) 564
68.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

인허가일자
Date

Distinct125
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1993-08-21 00:00:00
Maximum2023-11-17 00:00:00
2023-12-11T07:14:15.102342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:15.219154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing131
Missing (%)99.2%
Memory size1.2 KiB
Minimum2023-09-05 00:00:00
Maximum2023-09-05 00:00:00
2023-12-11T07:14:15.308105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:14:15.385911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
13
15 
3
 
5
15
 
4
31
 
1

Length

Max length4
Median length4
Mean length3.5833333
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row13
2nd row13
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
13 15
 
11.4%
3 5
 
3.8%
15 4
 
3.0%
31 1
 
0.8%

Length

2023-12-11T07:14:15.490012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:15.606617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
13 15
 
11.4%
3 5
 
3.8%
15 4
 
3.0%
31 1
 
0.8%

영업상태명
Categorical

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
운영중
84 
폐업 등
23 
영업중
15 
폐업
 
5
전출
 
4

Length

Max length4
Median length3
Mean length3.1136364
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 84
63.6%
폐업 등 23
 
17.4%
영업중 15
 
11.4%
폐업 5
 
3.8%
전출 4
 
3.0%
등록취소 1
 
0.8%

Length

2023-12-11T07:14:15.738331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:15.857242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 84
54.2%
폐업 28
 
18.1%
등 23
 
14.8%
영업중 15
 
9.7%
전출 4
 
2.6%
등록취소 1
 
0.6%

폐업일자
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing100
Missing (%)75.8%
Memory size1.2 KiB
2023-12-11T07:14:16.027010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.5625
Min length8

Characters and Unicode

Total characters274
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

Unique28 ?
Unique (%)87.5%

Sample

1st row20080211
2nd row20170119
3rd row2023-03-31
4th row2023-09-01
5th row20130107
ValueCountFrequency (%)
2023-08-16 2
 
6.2%
20130107 2
 
6.2%
99991231 1
 
3.1%
2023-11-09 1
 
3.1%
2023-07-31 1
 
3.1%
20150714 1
 
3.1%
20151217 1
 
3.1%
20080626 1
 
3.1%
20140120 1
 
3.1%
2023-06-26 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T07:14:16.374110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
26.3%
2 56
20.4%
1 53
19.3%
3 20
 
7.3%
- 18
 
6.6%
8 13
 
4.7%
7 13
 
4.7%
9 9
 
3.3%
6 8
 
2.9%
5 7
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 256
93.4%
Dash Punctuation 18
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
28.1%
2 56
21.9%
1 53
20.7%
3 20
 
7.8%
8 13
 
5.1%
7 13
 
5.1%
9 9
 
3.5%
6 8
 
3.1%
5 7
 
2.7%
4 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
26.3%
2 56
20.4%
1 53
19.3%
3 20
 
7.3%
- 18
 
6.6%
8 13
 
4.7%
7 13
 
4.7%
9 9
 
3.3%
6 8
 
2.9%
5 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
26.3%
2 56
20.4%
1 53
19.3%
3 20
 
7.3%
- 18
 
6.6%
8 13
 
4.7%
7 13
 
4.7%
9 9
 
3.3%
6 8
 
2.9%
5 7
 
2.6%

소재지시설전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing126
Missing (%)95.5%
Memory size1.2 KiB
2023-12-11T07:14:16.572364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length12.5
Min length12

Characters and Unicode

Total characters75
Distinct characters10
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

Unique6 ?
Unique (%)100.0%

Sample

1st row031-973-5350
2nd row02-2138-2874
3rd row031-8018-0800
4th row031-8038-4078
5th row031-8038-1135
ValueCountFrequency (%)
031-973-5350 1
16.7%
02-2138-2874 1
16.7%
031-8018-0800 1
16.7%
031-8038-4078 1
16.7%
031-8038-1135 1
16.7%
031-793-8500 1
16.7%
2023-12-11T07:14:16.922556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
21.3%
3 12
16.0%
- 12
16.0%
8 11
14.7%
1 9
12.0%
7 4
 
5.3%
5 4
 
5.3%
2 3
 
4.0%
9 2
 
2.7%
4 2
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
84.0%
Dash Punctuation 12
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
25.4%
3 12
19.0%
8 11
17.5%
1 9
14.3%
7 4
 
6.3%
5 4
 
6.3%
2 3
 
4.8%
9 2
 
3.2%
4 2
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
21.3%
3 12
16.0%
- 12
16.0%
8 11
14.7%
1 9
12.0%
7 4
 
5.3%
5 4
 
5.3%
2 3
 
4.0%
9 2
 
2.7%
4 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
21.3%
3 12
16.0%
- 12
16.0%
8 11
14.7%
1 9
12.0%
7 4
 
5.3%
5 4
 
5.3%
2 3
 
4.0%
9 2
 
2.7%
4 2
 
2.7%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)84.0%
Missing107
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean14106.32
Minimum10046
Maximum17854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:17.052663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10046
5-th percentile10568.2
Q113449
median13494
Q316514
95-th percentile16871
Maximum17854
Range7808
Interquartile range (IQR)3065

Descriptive statistics

Standard deviation2345.9276
Coefficient of variation (CV)0.1663033
Kurtosis-1.0293767
Mean14106.32
Median Absolute Deviation (MAD)2613
Skewness-0.1485171
Sum352658
Variance5503376.5
MonotonicityNot monotonic
2023-12-11T07:14:17.170794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
16835 3
 
2.3%
13494 2
 
1.5%
13487 2
 
1.5%
15882 1
 
0.8%
10046 1
 
0.8%
12900 1
 
0.8%
17854 1
 
0.8%
10881 1
 
0.8%
10846 1
 
0.8%
13804 1
 
0.8%
Other values (11) 11
 
8.3%
(Missing) 107
81.1%
ValueCountFrequency (%)
10046 1
0.8%
10564 1
0.8%
10585 1
0.8%
10846 1
0.8%
10881 1
0.8%
12900 1
0.8%
13449 1
0.8%
13486 1
0.8%
13487 2
1.5%
13488 1
0.8%
ValueCountFrequency (%)
17854 1
 
0.8%
16880 1
 
0.8%
16835 3
2.3%
16833 1
 
0.8%
16514 1
 
0.8%
16244 1
 
0.8%
15882 1
 
0.8%
14344 1
 
0.8%
13804 1
 
0.8%
13591 1
 
0.8%

소재지도로명주소
Text

Distinct124
Distinct (%)94.7%
Missing1
Missing (%)0.8%
Memory size1.2 KiB
2023-12-11T07:14:17.413295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length34.778626
Min length17

Characters and Unicode

Total characters4556
Distinct characters265
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

Unique119 ?
Unique (%)90.8%

Sample

1st row경기도 고양시 덕양구 삼송로 *, 한일골드타워 ***~***호 (원흥동)
2nd row경기도 고양시 덕양구 오부자로 ***, ***동 ****호 (지축동, 엘에이치*단지)
3rd row경기도 고양시 일산서구 주화로 **, ***호 (주엽동, 일산우신프라자빌)
4th row경기도 고양시 일산동구 호수로 ***-**, 동문타워I ***호 (백석동)
5th row경기도 고양시 덕양구 화중로 ***, ***호 (화정동,비젼타워**)
ValueCountFrequency (%)
134
 
14.6%
경기도 131
 
14.2%
호 59
 
6.4%
고양시 28
 
3.0%
성남시 27
 
2.9%
층 24
 
2.6%
분당구 20
 
2.2%
동 16
 
1.7%
일산동구 11
 
1.2%
덕양구 10
 
1.1%
Other values (298) 460
50.0%
2023-12-11T07:14:17.817293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
816
17.9%
* 742
 
16.3%
동 170
 
3.7%
기 142
 
3.1%
, 142
 
3.1%
시 139
 
3.1%
도 136
 
3.0%
경 134
 
2.9%
로 120
 
2.6%
) 119
 
2.6%
Other values (255) 1896
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
56.1%
Other Punctuation 885
 
19.4%
Space Separator 816
 
17.9%
Close Punctuation 119
 
2.6%
Open Punctuation 119
 
2.6%
Dash Punctuation 30
 
0.7%
Uppercase Letter 22
 
0.5%
Lowercase Letter 9
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
6.7%
기 142
 
5.6%
시 139
 
5.4%
도 136
 
5.3%
경 134
 
5.2%
로 120
 
4.7%
구 88
 
3.4%
호 66
 
2.6%
길 49
 
1.9%
양 48
 
1.9%
Other values (228) 1463
57.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
36.4%
N 2
 
9.1%
I 2
 
9.1%
S 2
 
9.1%
H 1
 
4.5%
T 1
 
4.5%
C 1
 
4.5%
L 1
 
4.5%
W 1
 
4.5%
E 1
 
4.5%
Other values (2) 2
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
o 2
22.2%
c 1
11.1%
t 1
11.1%
s 1
11.1%
k 1
11.1%
a 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 742
83.8%
, 142
 
16.0%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
816
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
56.1%
Common 1970
43.2%
Latin 31
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
6.7%
기 142
 
5.6%
시 139
 
5.4%
도 136
 
5.3%
경 134
 
5.2%
로 120
 
4.7%
구 88
 
3.4%
호 66
 
2.6%
길 49
 
1.9%
양 48
 
1.9%
Other values (228) 1463
57.3%
Latin
ValueCountFrequency (%)
A 8
25.8%
N 2
 
6.5%
I 2
 
6.5%
e 2
 
6.5%
S 2
 
6.5%
o 2
 
6.5%
H 1
 
3.2%
T 1
 
3.2%
c 1
 
3.2%
t 1
 
3.2%
Other values (9) 9
29.0%
Common
ValueCountFrequency (%)
816
41.4%
* 742
37.7%
, 142
 
7.2%
) 119
 
6.0%
( 119
 
6.0%
- 30
 
1.5%
~ 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
56.1%
ASCII 2001
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
816
40.8%
* 742
37.1%
, 142
 
7.1%
) 119
 
5.9%
( 119
 
5.9%
- 30
 
1.5%
A 8
 
0.4%
N 2
 
0.1%
I 2
 
0.1%
e 2
 
0.1%
Other values (17) 19
 
0.9%
Hangul
ValueCountFrequency (%)
동 170
 
6.7%
기 142
 
5.6%
시 139
 
5.4%
도 136
 
5.3%
경 134
 
5.2%
로 120
 
4.7%
구 88
 
3.4%
호 66
 
2.6%
길 49
 
1.9%
양 48
 
1.9%
Other values (228) 1463
57.3%

소재지지번주소
Text

Distinct120
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T07:14:18.043368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length28.651515
Min length17

Characters and Unicode

Total characters3782
Distinct characters220
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)84.8%

Sample

1st row경기도 고양시 덕양구 원흥동 *** 한일골드타워 ***~*호
2nd row경기도 고양시 덕양구 지축동 **** 엘에이치*단지 ***동 ****호
3rd row경기도 고양시 일산서구 주엽동 ***-*번지 일산우신프라자빌 ***호
4th row경기도 고양시 일산동구 백석동 ****번지 동문타워I
5th row경기도 고양시 덕양구 화정동 ***번지 비젼타워** ***호
ValueCountFrequency (%)
경기도 132
 
16.6%
번지 103
 
12.9%
호 50
 
6.3%
32
 
4.0%
고양시 28
 
3.5%
성남시 27
 
3.4%
분당구 20
 
2.5%
층 17
 
2.1%
동 16
 
2.0%
일산동구 11
 
1.4%
Other values (201) 360
45.2%
2023-12-11T07:14:18.401212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 773
20.4%
685
18.1%
동 162
 
4.3%
기 139
 
3.7%
시 138
 
3.6%
도 134
 
3.5%
경 133
 
3.5%
지 124
 
3.3%
번 103
 
2.7%
- 91
 
2.4%
Other values (210) 1300
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2202
58.2%
Other Punctuation 778
 
20.6%
Space Separator 685
 
18.1%
Dash Punctuation 91
 
2.4%
Uppercase Letter 21
 
0.6%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 162
 
7.4%
기 139
 
6.3%
시 138
 
6.3%
도 134
 
6.1%
경 133
 
6.0%
지 124
 
5.6%
번 103
 
4.7%
구 86
 
3.9%
호 56
 
2.5%
양 45
 
2.0%
Other values (190) 1082
49.1%
Uppercase Letter
ValueCountFrequency (%)
A 8
38.1%
K 2
 
9.5%
N 2
 
9.5%
I 2
 
9.5%
H 1
 
4.8%
L 1
 
4.8%
W 1
 
4.8%
E 1
 
4.8%
V 1
 
4.8%
S 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
* 773
99.4%
, 4
 
0.5%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
k 1
25.0%
a 1
25.0%
Space Separator
ValueCountFrequency (%)
685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2202
58.2%
Common 1555
41.1%
Latin 25
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 162
 
7.4%
기 139
 
6.3%
시 138
 
6.3%
도 134
 
6.1%
경 133
 
6.0%
지 124
 
5.6%
번 103
 
4.7%
구 86
 
3.9%
호 56
 
2.5%
양 45
 
2.0%
Other values (190) 1082
49.1%
Latin
ValueCountFrequency (%)
A 8
32.0%
K 2
 
8.0%
N 2
 
8.0%
I 2
 
8.0%
e 2
 
8.0%
H 1
 
4.0%
k 1
 
4.0%
a 1
 
4.0%
L 1
 
4.0%
W 1
 
4.0%
Other values (4) 4
16.0%
Common
ValueCountFrequency (%)
* 773
49.7%
685
44.1%
- 91
 
5.9%
, 4
 
0.3%
. 1
 
0.1%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2202
58.2%
ASCII 1580
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 773
48.9%
685
43.4%
- 91
 
5.8%
A 8
 
0.5%
, 4
 
0.3%
K 2
 
0.1%
N 2
 
0.1%
I 2
 
0.1%
e 2
 
0.1%
. 1
 
0.1%
Other values (10) 10
 
0.6%
Hangul
ValueCountFrequency (%)
동 162
 
7.4%
기 139
 
6.3%
시 138
 
6.3%
도 134
 
6.1%
경 133
 
6.0%
지 124
 
5.6%
번 103
 
4.7%
구 86
 
3.9%
호 56
 
2.5%
양 45
 
2.0%
Other values (190) 1082
49.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)88.1%
Missing23
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean90749.239
Minimum10129
Maximum471805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:18.529730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10129
5-th percentile10365.6
Q111952
median14209
Q317422
95-th percentile461641.2
Maximum471805
Range461676
Interquartile range (IQR)5470

Descriptive statistics

Standard deviation163871.33
Coefficient of variation (CV)1.8057598
Kurtosis0.84185904
Mean90749.239
Median Absolute Deviation (MAD)2892
Skewness1.6728116
Sum9891667
Variance2.6853813 × 1010
MonotonicityNot monotonic
2023-12-11T07:14:18.647019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10881 5
 
3.8%
412827 3
 
2.3%
10387 3
 
2.3%
10402 2
 
1.5%
12806 2
 
1.5%
13494 2
 
1.5%
10401 2
 
1.5%
13591 2
 
1.5%
441877 1
 
0.8%
15461 1
 
0.8%
Other values (86) 86
65.2%
(Missing) 23
 
17.4%
ValueCountFrequency (%)
10129 1
 
0.8%
10210 1
 
0.8%
10239 1
 
0.8%
10250 1
 
0.8%
10273 1
 
0.8%
10364 1
 
0.8%
10368 1
 
0.8%
10387 3
2.3%
10401 2
1.5%
10402 2
1.5%
ValueCountFrequency (%)
471805 1
0.8%
463862 1
0.8%
463828 1
0.8%
463825 1
0.8%
462817 1
0.8%
461822 1
0.8%
461370 1
0.8%
441877 1
0.8%
437821 1
0.8%
426861 1
0.8%

WGS84위도
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)91.6%
Missing25
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean37.461501
Minimum36.989116
Maximum37.790866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:18.776415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989116
5-th percentile37.156622
Q137.322783
median37.418017
Q337.65442
95-th percentile37.708422
Maximum37.790866
Range0.80174947
Interquartile range (IQR)0.3316375

Descriptive statistics

Standard deviation0.19057038
Coefficient of variation (CV)0.0050870993
Kurtosis-0.77353186
Mean37.461501
Median Absolute Deviation (MAD)0.15948274
Skewness-0.22809912
Sum4008.3807
Variance0.036317068
MonotonicityNot monotonic
2023-12-11T07:14:18.911695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6361366845 3
 
2.3%
37.6697457909 3
 
2.3%
37.597335506 2
 
1.5%
37.344291099 2
 
1.5%
37.6582588178 2
 
1.5%
37.7053819563 2
 
1.5%
37.4020645124 2
 
1.5%
37.3627330375 1
 
0.8%
37.2973851018 1
 
0.8%
37.2774623563 1
 
0.8%
Other values (88) 88
66.7%
(Missing) 25
 
18.9%
ValueCountFrequency (%)
36.9891162735 1
0.8%
36.9947571217 1
0.8%
37.0135635759 1
0.8%
37.1143141111 1
0.8%
37.1344344339 1
0.8%
37.1400183948 1
0.8%
37.1953635649 1
0.8%
37.2201784174 1
0.8%
37.2301831553 1
0.8%
37.2484315327 1
0.8%
ValueCountFrequency (%)
37.7908657483 1
0.8%
37.7320782467 1
0.8%
37.7248258443 1
0.8%
37.7203848908 1
0.8%
37.7154122648 1
0.8%
37.7084308406 1
0.8%
37.7084002039 1
0.8%
37.7081255976 1
0.8%
37.7066186355 1
0.8%
37.7063089782 1
0.8%

WGS84경도
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)91.6%
Missing25
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean126.98702
Minimum126.68507
Maximum127.66084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:19.058629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68507
5-th percentile126.70434
Q1126.79183
median126.97528
Q3127.12263
95-th percentile127.32471
Maximum127.66084
Range0.9757684
Interquartile range (IQR)0.33079571

Descriptive statistics

Standard deviation0.22076446
Coefficient of variation (CV)0.0017384805
Kurtosis0.91261392
Mean126.98702
Median Absolute Deviation (MAD)0.15141224
Skewness0.88342672
Sum13587.612
Variance0.048736948
MonotonicityNot monotonic
2023-12-11T07:14:19.183697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8314735735 3
 
2.3%
126.7602808453 3
 
2.3%
127.1311995326 2
 
1.5%
127.3199345361 2
 
1.5%
126.7726617072 2
 
1.5%
126.6874136046 2
 
1.5%
127.1060587259 2
 
1.5%
126.8783094216 1
 
0.8%
127.6379581053 1
 
0.8%
127.6608428738 1
 
0.8%
Other values (88) 88
66.7%
(Missing) 25
 
18.9%
ValueCountFrequency (%)
126.6850744733 1
0.8%
126.6851567319 1
0.8%
126.6874136046 2
1.5%
126.6947271707 1
0.8%
126.6985171484 1
0.8%
126.7179265157 1
0.8%
126.7313182505 1
0.8%
126.7361056715 1
0.8%
126.7378275507 1
0.8%
126.7513155803 1
0.8%
ValueCountFrequency (%)
127.6608428738 1
0.8%
127.642875651 1
0.8%
127.6379581053 1
0.8%
127.6159240081 1
0.8%
127.4408216568 1
0.8%
127.3267495366 1
0.8%
127.3199345361 2
1.5%
127.3035176795 1
0.8%
127.2477359625 1
0.8%
127.1811619508 1
0.8%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)87.5%
Missing108
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean201725.31
Minimum164264.24
Maximum217919.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:19.303730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164264.24
5-th percentile173039.32
Q1197973.11
median208741.38
Q3209346.36
95-th percentile211024.51
Maximum217919.81
Range53655.571
Interquartile range (IQR)11373.249

Descriptive statistics

Standard deviation13760.562
Coefficient of variation (CV)0.068214357
Kurtosis1.706867
Mean201725.31
Median Absolute Deviation (MAD)1631.7951
Skewness-1.5824296
Sum4841407.5
Variance1.8935308 × 108
MonotonicityNot monotonic
2023-12-11T07:14:19.408191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
208681.95556762 2
 
1.5%
209374.879569806 2
 
1.5%
209175.219648183 2
 
1.5%
205273.931816708 1
 
0.8%
217919.807743396 1
 
0.8%
210020.904952566 1
 
0.8%
172361.061226659 1
 
0.8%
176882.802407239 1
 
0.8%
208709.875361031 1
 
0.8%
211077.285366824 1
 
0.8%
Other values (11) 11
 
8.3%
(Missing) 108
81.8%
ValueCountFrequency (%)
164264.236828439 1
0.8%
172361.061226659 1
0.8%
176882.802407239 1
0.8%
188896.95594083 1
0.8%
189577.356517798 1
0.8%
194041.698673754 1
0.8%
199283.575443822 1
0.8%
202081.512221449 1
0.8%
205273.931816708 1
0.8%
208681.95556762 2
1.5%
ValueCountFrequency (%)
217919.807743396 1
0.8%
211077.285366824 1
0.8%
210725.443924974 1
0.8%
210020.904952566 1
0.8%
209374.879569806 2
1.5%
209336.846877902 1
0.8%
209175.219648183 2
1.5%
208875.401407257 1
0.8%
208841.791138741 1
0.8%
208772.883394285 1
0.8%

Y좌표값
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)87.5%
Missing108
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean434724.07
Minimum388665.43
Maximum478074.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:19.506407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388665.43
5-th percentile419915.03
Q1424741.24
median433251.6
Q3435671.89
95-th percentile466135.33
Maximum478074.41
Range89408.987
Interquartile range (IQR)10930.654

Descriptive statistics

Standard deviation18247.026
Coefficient of variation (CV)0.041973811
Kurtosis1.7460145
Mean434724.07
Median Absolute Deviation (MAD)8460.5011
Skewness0.33465827
Sum10433378
Variance3.3295396 × 108
MonotonicityNot monotonic
2023-12-11T07:14:19.612226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
424741.23823301 2
 
1.5%
433334.937936425 2
 
1.5%
433168.261766989 2
 
1.5%
420610.782510294 1
 
0.8%
452475.830697606 1
 
0.8%
388665.426352825 1
 
0.8%
467071.39853463 1
 
0.8%
478074.413808804 1
 
0.8%
424704.294549833 1
 
0.8%
425506.248650417 1
 
0.8%
Other values (11) 11
 
8.3%
(Missing) 108
81.8%
ValueCountFrequency (%)
388665.426352825 1
0.8%
419792.246138398 1
0.8%
420610.782510294 1
0.8%
424436.514405466 1
0.8%
424704.294549833 1
0.8%
424741.23823301 2
1.5%
424840.959289068 1
0.8%
425506.248650417 1
0.8%
431454.946000464 1
0.8%
433168.261766989 2
1.5%
ValueCountFrequency (%)
478074.413808804 1
0.8%
467071.39853463 1
0.8%
460830.916187383 1
0.8%
458763.723627962 1
0.8%
452475.830697606 1
0.8%
436568.191076771 1
0.8%
435373.125858659 1
0.8%
434630.825135175 1
0.8%
433614.460474667 1
0.8%
433474.488173333 1
0.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
음반.음악영상물배급업
132 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물배급업
2nd row음반.음악영상물배급업
3rd row음반.음악영상물배급업
4th row음반.음악영상물배급업
5th row음반.음악영상물배급업

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 132
100.0%

Length

2023-12-11T07:14:19.716953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:19.798995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 132
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
132 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 132
100.0%

Length

2023-12-11T07:14:20.127820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:20.226090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 132
100.0%

총층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:20.321970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:20.410277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing119
Missing (%)90.2%
Memory size1.2 KiB
2023-12-11T07:14:20.548110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length10
Mean length11.307692
Min length2

Characters and Unicode

Total characters147
Distinct characters45
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row음원, 뮤직비디오, 메타버스 영상 콘텐츠, 애니메이션 콘텐츠, 일반 영상물, 아트 일러스트 등 콘텐츠 일체
2nd row음악
3rd row음반,음악영상
4th rowCD, DVD 등
5th row음반, 영상
ValueCountFrequency (%)
콘텐츠 3
 
8.8%
음반 2
 
5.9%
영상 2
 
5.9%
제작 2
 
5.9%
등 2
 
5.9%
뮤직비디오 2
 
5.9%
음원 1
 
2.9%
sd카드 1
 
2.9%
음반음악영상물 1
 
2.9%
영상제작 1
 
2.9%
Other values (17) 17
50.0%
2023-12-11T07:14:20.831384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
14.3%
음 12
 
8.2%
, 11
 
7.5%
상 10
 
6.8%
영 10
 
6.8%
반 7
 
4.8%
악 5
 
3.4%
물 5
 
3.4%
츠 5
 
3.4%
텐 5
 
3.4%
Other values (35) 56
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
73.5%
Space Separator 21
 
14.3%
Other Punctuation 11
 
7.5%
Uppercase Letter 7
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 12
 
11.1%
상 10
 
9.3%
영 10
 
9.3%
반 7
 
6.5%
악 5
 
4.6%
물 5
 
4.6%
츠 5
 
4.6%
텐 5
 
4.6%
콘 4
 
3.7%
작 3
 
2.8%
Other values (29) 42
38.9%
Uppercase Letter
ValueCountFrequency (%)
D 4
57.1%
S 1
 
14.3%
V 1
 
14.3%
C 1
 
14.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
73.5%
Common 32
 
21.8%
Latin 7
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 12
 
11.1%
상 10
 
9.3%
영 10
 
9.3%
반 7
 
6.5%
악 5
 
4.6%
물 5
 
4.6%
츠 5
 
4.6%
텐 5
 
4.6%
콘 4
 
3.7%
작 3
 
2.8%
Other values (29) 42
38.9%
Latin
ValueCountFrequency (%)
D 4
57.1%
S 1
 
14.3%
V 1
 
14.3%
C 1
 
14.3%
Common
ValueCountFrequency (%)
21
65.6%
, 11
34.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
73.5%
ASCII 39
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
53.8%
, 11
28.2%
D 4
 
10.3%
S 1
 
2.6%
V 1
 
2.6%
C 1
 
2.6%
Hangul
ValueCountFrequency (%)
음 12
 
11.1%
상 10
 
9.3%
영 10
 
9.3%
반 7
 
6.5%
악 5
 
4.6%
물 5
 
4.6%
츠 5
 
4.6%
텐 5
 
4.6%
콘 4
 
3.7%
작 3
 
2.8%
Other values (29) 42
38.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)56.0%
Missing107
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean292.6712
Minimum0
Maximum2417
Zeros12
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:14:20.935829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.3
Q3206.5
95-th percentile2044.666
Maximum2417
Range2417
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation661.7514
Coefficient of variation (CV)2.2610745
Kurtosis7.3508538
Mean292.6712
Median Absolute Deviation (MAD)3.3
Skewness2.8302692
Sum7316.78
Variance437914.91
MonotonicityNot monotonic
2023-12-11T07:14:21.031715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 12
 
9.1%
425.78 1
 
0.8%
76.71 1
 
0.8%
60.39 1
 
0.8%
811.33 1
 
0.8%
59.5 1
 
0.8%
2417.0 1
 
0.8%
571.18 1
 
0.8%
208.0 1
 
0.8%
3.3 1
 
0.8%
Other values (4) 4
 
3.0%
(Missing) 107
81.1%
ValueCountFrequency (%)
0.0 12
9.1%
3.3 1
 
0.8%
48.06 1
 
0.8%
59.5 1
 
0.8%
60.39 1
 
0.8%
76.03 1
 
0.8%
76.71 1
 
0.8%
206.5 1
 
0.8%
208.0 1
 
0.8%
425.78 1
 
0.8%
ValueCountFrequency (%)
2417.0 1
0.8%
2353.0 1
0.8%
811.33 1
0.8%
571.18 1
0.8%
425.78 1
0.8%
208.0 1
0.8%
206.5 1
0.8%
76.71 1
0.8%
76.03 1
0.8%
60.39 1
0.8%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
24 
3
 
1

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 24
 
18.2%
3 1
 
0.8%

Length

2023-12-11T07:14:21.165170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:21.275151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 24
 
18.2%
3 1
 
0.8%

지하층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:21.394840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:21.498210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

통로너비
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:21.591772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:21.685800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

조명시설조도량
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:21.774038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:21.864983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

노래방실수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:21.955012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:22.042234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
0
25 

Length

Max length4
Median length4
Mean length3.4318182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
81.1%
0 25
 
18.9%

Length

2023-12-11T07:14:22.152629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:14:22.263572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
81.1%
0 25
 
18.9%

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing131
Missing (%)99.2%
Memory size1.2 KiB
2023-12-11T07:14:22.364195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주거지역
ValueCountFrequency (%)
주거지역 1
100.0%
2023-12-11T07:14:22.566737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수통로너비조명시설조도량노래방실수비상계단여부비상구여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부소방시설여부총게임기수제공게임물명공연장형태구분명최초등록시점지역구분명
0고양시주식회사 패러블엔터테인먼트2023-05-11<NA>13영업중<NA>031-973-5350<NA>10564경기도 고양시 덕양구 삼송로 *, 한일골드타워 ***~***호 (원흥동)경기도 고양시 덕양구 원흥동 *** 한일골드타워 ***~*호<NA><NA><NA><NA>188896.955941460830.916187음반.음악영상물배급업유통관련업0<NA>음원, 뮤직비디오, 메타버스 영상 콘텐츠, 애니메이션 콘텐츠, 일반 영상물, 아트 일러스트 등 콘텐츠 일체425.7800000<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
1고양시디바인2023-05-30<NA>13영업중<NA><NA><NA>10585경기도 고양시 덕양구 오부자로 ***, ***동 ****호 (지축동, 엘에이치*단지)경기도 고양시 덕양구 지축동 **** 엘에이치*단지 ***동 ****호10585<NA><NA><NA><NA><NA>음반.음악영상물배급업유통관련업0<NA>음악76.7100000<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
2고양시찬스라인20170120<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 주화로 **, ***호 (주엽동, 일산우신프라자빌)경기도 고양시 일산서구 주엽동 ***-*번지 일산우신프라자빌 ***호1038737.669746126.760281<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시박세민 무비프로덕션20171221<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 ***-**, 동문타워I ***호 (백석동)경기도 고양시 일산동구 백석동 ****번지 동문타워I1044937.640363126.78671<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시한솔미디어텍20000804<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화중로 ***, ***호 (화정동,비젼타워**)경기도 고양시 덕양구 화정동 ***번지 비젼타워** ***호41282737.636137126.831474<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시레오 기획 (REO entertainment)20010731<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 강송로**번길 ** (백석동)경기도 고양시 일산동구 백석동 ****번지1044637.646336126.787673<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시(주)아이비 2520020612<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 일산로 ***, ***호 (백석동,일산테크노타운)경기도 고양시 일산동구 백석동 ****-*번지 일산테크노타운 ***호1044237.650785126.794625<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시시사이코리아20050225<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로****번길 **경기도 고양시 덕양구 성사동 ***번지 신원당마을 ***동 ****호41280837.652423126.837812<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시온리원미디어20060612<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화중로 ***, ***호 (화정동,비젼타워**)경기도 고양시 덕양구 화정동 ***번지 비젼타워** ***호41282737.636137126.831474<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시주)엠엔알코리아20060824<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 은빛로 **, ***호 (화정동,제일프라자)경기도 고양시 덕양구 화정동 ***-*번지 제일프라자 ***호41282637.637922126.834778<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수통로너비조명시설조도량노래방실수비상계단여부비상구여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부소방시설여부총게임기수제공게임물명공연장형태구분명최초등록시점지역구분명
122파주시교보핫트랙스(주)20000703<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 회동길 ** (문발동, (주)재능교육)경기도 파주시 문발동 ***-*번지1088137.705382126.687414<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
123파주시(주)도레미미디어20110421<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 회동길 ** (문발동)경기도 파주시 문발동 ***-*번지1088137.705382126.687414<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
124파주시와일드큐브20090421<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 탄현면 헤이리마을길 **-***경기도 파주시 탄현면 법흥리 ****-**번지41384137.790866126.698517<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
125파주시교보핫트랙스(주)2000-07-03<NA>15전출2023-07-31<NA><NA>10881경기도 파주시 회동길 ** (문발동)경기도 파주시 문발동 ***-*<NA><NA><NA><NA>172361.061227467071.398535음반.음악영상물배급업유통관련업0<NA><NA>2353.000000<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
126평택시주식회사 티오케이2019-11-11<NA>13영업중<NA><NA><NA>17854경기도 평택시 비전*로 **-**, 광장 프라자 *층 (비전동)경기도 평택시 비전동 ****-* 광장 프라자<NA><NA><NA><NA>210020.904953388665.426353음반.음악영상물배급업유통관련업0<NA><NA>76.0330000<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
127평택시주식회사 나라무비20110819<NA><NA>운영중<NA><NA><NA><NA>경기도 평택시 평택로 **, ***동 ****호 (평택동,롯데인벤스스카이아파트)경기도 평택시 평택동 ***번지 롯데인벤스스카이아파트 ***동 ****호1791736.989116127.08878<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
128평택시스타노래 영상제작실20140331<NA><NA>폐업 등<NA><NA><NA><NA>경기도 평택시 평택로**번길 ** (평택동)경기도 평택시 평택동 **-**번지1791136.994757127.08557<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
129하남시주식회사 프리다츠2020-10-19<NA>15전출2023-11-09031-793-8500<NA>12900경기도 하남시 미사동로 **-* (미사동)경기도 하남시 미사동 ***-*12900<NA><NA><NA>217919.807743452475.830698음반.음악영상물배급업유통관련업0<NA>홍보컨텐츠0.000000<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
130화성시아자이엔티 유한책임회사20171213<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄기흥로 ***-**, ****동 ****호 (오산동, 동탄역 반도유보라 아이비파크 *.*)경기도 화성시 오산동 ***-****번지 동탄역 반도유보라 아이비파크 *.*1847937.195364127.091912<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131화성시선데이디스코 더 뮤직(SUNDAYDISCO THE MUSIC)20140911<NA><NA>폐업 등20180328<NA><NA><NA>경기도 화성시 동탄지성로 ***, ***동 ***호 (기산동, 행복마을울트라참누리아파트)경기도 화성시 기산동 ***번지 행복마을울트라참누리아파트 ***동 ***호1839437.220178127.049409<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>