Overview

Dataset statistics

Number of variables42
Number of observations676
Missing cells14835
Missing cells (%)52.3%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory241.1 KiB
Average record size in memory365.2 B

Variable types

Categorical12
Text6
DateTime3
Unsupported15
Numeric6

Dataset

Description음반.음악영상물 제작업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6L7BD28H8UNTYSAV3MG4465942&infSeq=1

Alerts

인허가취소일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (65.8%)Imbalance
총층수 is highly imbalanced (57.3%)Imbalance
지상층수 is highly imbalanced (69.8%)Imbalance
지하층수 is highly imbalanced (65.5%)Imbalance
인허가취소일자 has 675 (99.9%) missing valuesMissing
폐업일자 has 474 (70.1%) missing valuesMissing
소재지시설전화번호 has 656 (97.0%) missing valuesMissing
소재지면적정보 has 676 (100.0%) missing valuesMissing
도로명우편번호 has 553 (81.8%) missing valuesMissing
소재지도로명주소 has 7 (1.0%) missing valuesMissing
소재지우편번호 has 117 (17.3%) missing valuesMissing
WGS84위도 has 132 (19.5%) missing valuesMissing
WGS84경도 has 132 (19.5%) missing valuesMissing
업태구분명정보 has 676 (100.0%) missing valuesMissing
X좌표값 has 562 (83.1%) missing valuesMissing
Y좌표값 has 562 (83.1%) missing valuesMissing
주변환경명 has 675 (99.9%) missing valuesMissing
제작취급품목내용 has 150 (22.2%) missing valuesMissing
비상계단여부 has 676 (100.0%) missing valuesMissing
비상구여부 has 676 (100.0%) missing valuesMissing
자동환기여부 has 676 (100.0%) missing valuesMissing
청소년실여부 has 676 (100.0%) missing valuesMissing
특수조명여부 has 676 (100.0%) missing valuesMissing
방음시설여부 has 676 (100.0%) missing valuesMissing
비디오재생기명 has 676 (100.0%) missing valuesMissing
조명시설유무 has 676 (100.0%) missing valuesMissing
음향시설여부 has 676 (100.0%) missing valuesMissing
편의시설여부 has 676 (100.0%) missing valuesMissing
소방시설여부 has 676 (100.0%) missing valuesMissing
기존게임업외업종명 has 676 (100.0%) missing valuesMissing
제공게임물명 has 676 (100.0%) 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
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 22:26:26.800607
Analysis finished2023-12-10 22:26:27.917267
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
성남시
95 
고양시
92 
수원시
59 
의정부시
46 
용인시
45 
Other values (24)
339 

Length

Max length4
Median length3
Mean length3.1139053
Min length3

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 95
14.1%
고양시 92
13.6%
수원시 59
 
8.7%
의정부시 46
 
6.8%
용인시 45
 
6.7%
안양시 42
 
6.2%
안산시 37
 
5.5%
부천시 32
 
4.7%
파주시 31
 
4.6%
군포시 29
 
4.3%
Other values (19) 168
24.9%

Length

2023-12-11T07:26:27.996422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 95
14.1%
고양시 92
13.6%
수원시 59
 
8.7%
의정부시 46
 
6.8%
용인시 45
 
6.7%
안양시 42
 
6.2%
안산시 37
 
5.5%
부천시 32
 
4.7%
파주시 31
 
4.6%
군포시 29
 
4.3%
Other values (19) 168
24.9%
Distinct624
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-11T07:26:28.222539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length8.1863905
Min length2

Characters and Unicode

Total characters5534
Distinct characters458
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

Unique585 ?
Unique (%)86.5%

Sample

1st row유어메이트
2nd row주식회사 퍼니필름
3rd row(주)몽뜨레쎼 코리아
4th row㈜아몽 아트드림
5th row지지스튜디오
ValueCountFrequency (%)
주식회사 30
 
3.2%
노래영상제작실 17
 
1.8%
노래뮤비방 16
 
1.7%
뮤비방 16
 
1.7%
노래 16
 
1.7%
영상제작실 13
 
1.4%
music 12
 
1.3%
미디어 10
 
1.1%
엔터테인먼트 9
 
1.0%
스튜디오 6
 
0.6%
Other values (715) 796
84.6%
2023-12-11T07:26:28.670729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
 
4.8%
227
 
4.1%
225
 
4.1%
201
 
3.6%
171
 
3.1%
) 145
 
2.6%
( 144
 
2.6%
140
 
2.5%
139
 
2.5%
123
 
2.2%
Other values (448) 3751
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4324
78.1%
Uppercase Letter 364
 
6.6%
Space Separator 268
 
4.8%
Lowercase Letter 247
 
4.5%
Close Punctuation 145
 
2.6%
Open Punctuation 144
 
2.6%
Decimal Number 22
 
0.4%
Other Punctuation 14
 
0.3%
Dash Punctuation 5
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
227
 
5.2%
225
 
5.2%
201
 
4.6%
171
 
4.0%
140
 
3.2%
139
 
3.2%
123
 
2.8%
112
 
2.6%
112
 
2.6%
110
 
2.5%
Other values (383) 2764
63.9%
Uppercase Letter
ValueCountFrequency (%)
M 46
12.6%
S 37
 
10.2%
O 36
 
9.9%
T 22
 
6.0%
C 21
 
5.8%
I 21
 
5.8%
E 19
 
5.2%
N 17
 
4.7%
R 17
 
4.7%
A 16
 
4.4%
Other values (16) 112
30.8%
Lowercase Letter
ValueCountFrequency (%)
n 28
11.3%
e 27
10.9%
i 27
10.9%
t 21
8.5%
a 19
 
7.7%
o 19
 
7.7%
r 16
 
6.5%
u 15
 
6.1%
s 14
 
5.7%
m 10
 
4.0%
Other values (13) 51
20.6%
Decimal Number
ValueCountFrequency (%)
2 9
40.9%
1 5
22.7%
5 4
18.2%
4 2
 
9.1%
7 1
 
4.5%
0 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 8
57.1%
' 2
 
14.3%
, 2
 
14.3%
: 1
 
7.1%
% 1
 
7.1%
Space Separator
ValueCountFrequency (%)
268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4325
78.2%
Latin 611
 
11.0%
Common 598
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
227
 
5.2%
225
 
5.2%
201
 
4.6%
171
 
4.0%
140
 
3.2%
139
 
3.2%
123
 
2.8%
112
 
2.6%
112
 
2.6%
110
 
2.5%
Other values (384) 2765
63.9%
Latin
ValueCountFrequency (%)
M 46
 
7.5%
S 37
 
6.1%
O 36
 
5.9%
n 28
 
4.6%
e 27
 
4.4%
i 27
 
4.4%
T 22
 
3.6%
C 21
 
3.4%
I 21
 
3.4%
t 21
 
3.4%
Other values (39) 325
53.2%
Common
ValueCountFrequency (%)
268
44.8%
) 145
24.2%
( 144
24.1%
2 9
 
1.5%
. 8
 
1.3%
1 5
 
0.8%
- 5
 
0.8%
5 4
 
0.7%
4 2
 
0.3%
' 2
 
0.3%
Other values (5) 6
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4324
78.1%
ASCII 1209
 
21.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
22.2%
) 145
 
12.0%
( 144
 
11.9%
M 46
 
3.8%
S 37
 
3.1%
O 36
 
3.0%
n 28
 
2.3%
e 27
 
2.2%
i 27
 
2.2%
T 22
 
1.8%
Other values (54) 429
35.5%
Hangul
ValueCountFrequency (%)
227
 
5.2%
225
 
5.2%
201
 
4.6%
171
 
4.0%
140
 
3.2%
139
 
3.2%
123
 
2.8%
112
 
2.6%
112
 
2.6%
110
 
2.5%
Other values (383) 2764
63.9%
None
ValueCountFrequency (%)
1
100.0%
Distinct580
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1968-02-13 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:26:28.817605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:28.982680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing675
Missing (%)99.9%
Memory size5.4 KiB
Minimum2023-11-02 00:00:00
Maximum2023-11-02 00:00:00
2023-12-11T07:26:29.108087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:29.192731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
551 
13
98 
3
 
17
15
 
7
35
 
2

Length

Max length4
Median length4
Mean length3.6050296
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 551
81.5%
13 98
 
14.5%
3 17
 
2.5%
15 7
 
1.0%
35 2
 
0.3%
31 1
 
0.1%

Length

2023-12-11T07:26:29.303279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:29.405970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 551
81.5%
13 98
 
14.5%
3 17
 
2.5%
15 7
 
1.0%
35 2
 
0.3%
31 1
 
0.1%

영업상태명
Categorical

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
운영중
363 
폐업 등
188 
영업중
98 
폐업
 
17
전출
 
7
Other values (2)
 
3

Length

Max length4
Median length3
Mean length3.2470414
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 363
53.7%
폐업 등 188
27.8%
영업중 98
 
14.5%
폐업 17
 
2.5%
전출 7
 
1.0%
직권말소 2
 
0.3%
등록취소 1
 
0.1%

Length

2023-12-11T07:26:29.519216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:29.649763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 363
42.0%
폐업 205
23.7%
188
21.8%
영업중 98
 
11.3%
전출 7
 
0.8%
직권말소 2
 
0.2%
등록취소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct189
Distinct (%)93.6%
Missing474
Missing (%)70.1%
Memory size5.4 KiB
Minimum2007-01-31 00:00:00
Maximum2023-11-21 00:00:00
2023-12-11T07:26:29.790716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:30.220677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct18
Distinct (%)90.0%
Missing656
Missing (%)97.0%
Memory size5.4 KiB
2023-12-11T07:26:30.426331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05
Min length11

Characters and Unicode

Total characters241
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

Unique16 ?
Unique (%)80.0%

Sample

1st row031-932-4478
2nd row031-973-5350
3rd row031-948-5435
4th row02-897-0044
5th row031-552-8878
ValueCountFrequency (%)
02-717-3611 2
 
10.0%
031-948-5435 2
 
10.0%
031-784-3771 1
 
5.0%
031-793-8500 1
 
5.0%
031-441-9471 1
 
5.0%
031-244-9555 1
 
5.0%
031-237-0984 1
 
5.0%
031-8038-4078 1
 
5.0%
02-2138-2874 1
 
5.0%
031-8038-1135 1
 
5.0%
Other values (8) 8
40.0%
2023-12-11T07:26:30.758757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40
16.6%
0 36
14.9%
3 32
13.3%
1 28
11.6%
8 22
9.1%
7 19
7.9%
4 19
7.9%
5 16
 
6.6%
2 14
 
5.8%
9 11
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.4%
Dash Punctuation 40
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
17.9%
3 32
15.9%
1 28
13.9%
8 22
10.9%
7 19
9.5%
4 19
9.5%
5 16
8.0%
2 14
 
7.0%
9 11
 
5.5%
6 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 40
16.6%
0 36
14.9%
3 32
13.3%
1 28
11.6%
8 22
9.1%
7 19
7.9%
4 19
7.9%
5 16
 
6.6%
2 14
 
5.8%
9 11
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40
16.6%
0 36
14.9%
3 32
13.3%
1 28
11.6%
8 22
9.1%
7 19
7.9%
4 19
7.9%
5 16
 
6.6%
2 14
 
5.8%
9 11
 
4.6%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)78.9%
Missing553
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean13821.195
Minimum10026
Maximum18501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:30.915357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10026
5-th percentile10117.1
Q111700
median13595
Q316235
95-th percentile17936
Maximum18501
Range8475
Interquartile range (IQR)4535

Descriptive statistics

Standard deviation2582.6657
Coefficient of variation (CV)0.18686269
Kurtosis-1.0607929
Mean13821.195
Median Absolute Deviation (MAD)2252
Skewness0.19091246
Sum1700007
Variance6670162.3
MonotonicityNot monotonic
2023-12-11T07:26:31.058192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17936 6
 
0.9%
16833 3
 
0.4%
16835 3
 
0.4%
14033 3
 
0.4%
13487 3
 
0.4%
10402 3
 
0.4%
13366 3
 
0.4%
13494 3
 
0.4%
11921 2
 
0.3%
17849 2
 
0.3%
Other values (87) 92
 
13.6%
(Missing) 553
81.8%
ValueCountFrequency (%)
10026 1
0.1%
10038 1
0.1%
10067 1
0.1%
10071 1
0.1%
10107 1
0.1%
10108 1
0.1%
10117 1
0.1%
10118 1
0.1%
10314 1
0.1%
10357 1
0.1%
ValueCountFrequency (%)
18501 1
 
0.1%
18478 1
 
0.1%
18404 1
 
0.1%
18399 1
 
0.1%
18390 1
 
0.1%
18362 1
 
0.1%
17936 6
0.9%
17849 2
 
0.3%
17178 1
 
0.1%
17077 1
 
0.1%
Distinct602
Distinct (%)90.0%
Missing7
Missing (%)1.0%
Memory size5.4 KiB
2023-12-11T07:26:31.335901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length32.929746
Min length15

Characters and Unicode

Total characters22030
Distinct characters400
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

Unique554 ?
Unique (%)82.8%

Sample

1st row경기도 고양시 덕양구 꽃마을로 **, **층 ****호 (향동동)
2nd row경기도 고양시 일산동구 정발산로 **-**, 센트럴프라자 ***호 (장항동)
3rd row경기도 고양시 덕양구 청초로 **, ****~****호 (덕은동)
4th row경기도 고양시 덕양구 화신로 ***, ****동 ****호 (행신동, 햇빛마을**단지아파트)
5th row경기도 고양시 덕양구 꽃마을로 **, ****호 (향동동)
ValueCountFrequency (%)
676
 
15.0%
경기도 669
 
14.8%
221
 
4.9%
140
 
3.1%
성남시 94
 
2.1%
고양시 91
 
2.0%
분당구 66
 
1.5%
62
 
1.4%
수원시 57
 
1.3%
의정부시 46
 
1.0%
Other values (957) 2392
53.0%
2023-12-11T07:26:31.769286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3952
17.9%
* 3605
 
16.4%
814
 
3.7%
707
 
3.2%
692
 
3.1%
686
 
3.1%
683
 
3.1%
, 655
 
3.0%
630
 
2.9%
( 593
 
2.7%
Other values (390) 9013
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12406
56.3%
Other Punctuation 4264
 
19.4%
Space Separator 3952
 
17.9%
Open Punctuation 593
 
2.7%
Close Punctuation 593
 
2.7%
Dash Punctuation 143
 
0.6%
Uppercase Letter 72
 
0.3%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
814
 
6.6%
707
 
5.7%
692
 
5.6%
686
 
5.5%
683
 
5.5%
630
 
5.1%
386
 
3.1%
293
 
2.4%
275
 
2.2%
247
 
2.0%
Other values (360) 6993
56.4%
Uppercase Letter
ValueCountFrequency (%)
B 22
30.6%
A 14
19.4%
I 9
12.5%
T 4
 
5.6%
H 3
 
4.2%
L 3
 
4.2%
E 2
 
2.8%
W 2
 
2.8%
K 2
 
2.8%
N 2
 
2.8%
Other values (7) 9
12.5%
Other Punctuation
ValueCountFrequency (%)
* 3605
84.5%
, 655
 
15.4%
. 2
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
a 2
40.0%
k 1
20.0%
Space Separator
ValueCountFrequency (%)
3952
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12406
56.3%
Common 9547
43.3%
Latin 77
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
814
 
6.6%
707
 
5.7%
692
 
5.6%
686
 
5.5%
683
 
5.5%
630
 
5.1%
386
 
3.1%
293
 
2.4%
275
 
2.2%
247
 
2.0%
Other values (360) 6993
56.4%
Latin
ValueCountFrequency (%)
B 22
28.6%
A 14
18.2%
I 9
11.7%
T 4
 
5.2%
H 3
 
3.9%
L 3
 
3.9%
E 2
 
2.6%
e 2
 
2.6%
a 2
 
2.6%
W 2
 
2.6%
Other values (10) 14
18.2%
Common
ValueCountFrequency (%)
3952
41.4%
* 3605
37.8%
, 655
 
6.9%
( 593
 
6.2%
) 593
 
6.2%
- 143
 
1.5%
. 2
 
< 0.1%
~ 2
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12406
56.3%
ASCII 9624
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3952
41.1%
* 3605
37.5%
, 655
 
6.8%
( 593
 
6.2%
) 593
 
6.2%
- 143
 
1.5%
B 22
 
0.2%
A 14
 
0.1%
I 9
 
0.1%
T 4
 
< 0.1%
Other values (20) 34
 
0.4%
Hangul
ValueCountFrequency (%)
814
 
6.6%
707
 
5.7%
692
 
5.6%
686
 
5.5%
683
 
5.5%
630
 
5.1%
386
 
3.1%
293
 
2.4%
275
 
2.2%
247
 
2.0%
Other values (360) 6993
56.4%
Distinct567
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-11T07:26:32.114012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length26.254438
Min length10

Characters and Unicode

Total characters17748
Distinct characters338
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)74.3%

Sample

1st row경기도 고양시 덕양구 향동동 *** ****호
2nd row경기도 고양시 일산동구 장항동 *** 센트럴프라자 ***호
3rd row경기도 고양시 덕양구 덕은동 * ****~****호
4th row경기도 고양시 덕양구 행신동 *** 햇빛마을**단지아파트 ****동 ****호
5th row경기도 고양시 덕양구 향동동 *** ****호
ValueCountFrequency (%)
경기도 676
 
18.0%
번지 538
 
14.3%
158
 
4.2%
134
 
3.6%
성남시 95
 
2.5%
고양시 92
 
2.4%
분당구 66
 
1.8%
64
 
1.7%
수원시 59
 
1.6%
의정부시 46
 
1.2%
Other values (543) 1833
48.7%
2023-12-11T07:26:32.655944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3493
19.7%
3190
18.0%
767
 
4.3%
701
 
3.9%
695
 
3.9%
687
 
3.9%
683
 
3.8%
653
 
3.7%
538
 
3.0%
- 495
 
2.8%
Other values (328) 5846
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10484
59.1%
Other Punctuation 3510
 
19.8%
Space Separator 3190
 
18.0%
Dash Punctuation 495
 
2.8%
Uppercase Letter 58
 
0.3%
Lowercase Letter 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
767
 
7.3%
701
 
6.7%
695
 
6.6%
687
 
6.6%
683
 
6.5%
653
 
6.2%
538
 
5.1%
388
 
3.7%
239
 
2.3%
196
 
1.9%
Other values (302) 4937
47.1%
Uppercase Letter
ValueCountFrequency (%)
B 20
34.5%
A 13
22.4%
I 6
 
10.3%
L 4
 
6.9%
T 3
 
5.2%
H 2
 
3.4%
N 2
 
3.4%
K 2
 
3.4%
S 2
 
3.4%
W 1
 
1.7%
Other values (3) 3
 
5.2%
Other Punctuation
ValueCountFrequency (%)
* 3493
99.5%
, 14
 
0.4%
. 1
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
e 2
40.0%
k 1
20.0%
Space Separator
ValueCountFrequency (%)
3190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 495
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10484
59.1%
Common 7201
40.6%
Latin 63
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
767
 
7.3%
701
 
6.7%
695
 
6.6%
687
 
6.6%
683
 
6.5%
653
 
6.2%
538
 
5.1%
388
 
3.7%
239
 
2.3%
196
 
1.9%
Other values (302) 4937
47.1%
Latin
ValueCountFrequency (%)
B 20
31.7%
A 13
20.6%
I 6
 
9.5%
L 4
 
6.3%
T 3
 
4.8%
a 2
 
3.2%
e 2
 
3.2%
H 2
 
3.2%
N 2
 
3.2%
K 2
 
3.2%
Other values (6) 7
 
11.1%
Common
ValueCountFrequency (%)
* 3493
48.5%
3190
44.3%
- 495
 
6.9%
, 14
 
0.2%
( 2
 
< 0.1%
) 2
 
< 0.1%
~ 2
 
< 0.1%
. 1
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10483
59.1%
ASCII 7264
40.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3493
48.1%
3190
43.9%
- 495
 
6.8%
B 20
 
0.3%
, 14
 
0.2%
A 13
 
0.2%
I 6
 
0.1%
L 4
 
0.1%
T 3
 
< 0.1%
a 2
 
< 0.1%
Other values (16) 24
 
0.3%
Hangul
ValueCountFrequency (%)
767
 
7.3%
701
 
6.7%
695
 
6.6%
687
 
6.6%
683
 
6.5%
653
 
6.2%
538
 
5.1%
388
 
3.7%
239
 
2.3%
196
 
1.9%
Other values (301) 4936
47.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)70.7%
Missing117
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean74406.878
Minimum10019
Maximum463873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:32.829164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10364
Q111783.5
median14538
Q316833
95-th percentile446185.2
Maximum463873
Range453854
Interquartile range (IQR)5049.5

Descriptive statistics

Standard deviation148575.22
Coefficient of variation (CV)1.9967941
Kurtosis2.2556024
Mean74406.878
Median Absolute Deviation (MAD)2499
Skewness2.0548859
Sum41593445
Variance2.2074595 × 1010
MonotonicityNot monotonic
2023-12-11T07:26:32.967948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15811 8
 
1.2%
10881 7
 
1.0%
15853 7
 
1.0%
16835 7
 
1.0%
13494 6
 
0.9%
10446 6
 
0.9%
16071 6
 
0.9%
16833 5
 
0.7%
463825 4
 
0.6%
11649 4
 
0.6%
Other values (385) 499
73.8%
(Missing) 117
 
17.3%
ValueCountFrequency (%)
10019 1
0.1%
10026 1
0.1%
10046 1
0.1%
10108 1
0.1%
10111 1
0.1%
10113 2
0.3%
10118 1
0.1%
10126 1
0.1%
10129 1
0.1%
10217 1
0.1%
ValueCountFrequency (%)
463873 2
0.3%
463862 1
 
0.1%
463853 1
 
0.1%
463842 1
 
0.1%
463828 1
 
0.1%
463827 2
0.3%
463826 1
 
0.1%
463825 4
0.6%
463824 1
 
0.1%
463420 1
 
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct480
Distinct (%)88.2%
Missing132
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean37.473673
Minimum36.985662
Maximum37.955865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:33.100569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.985662
5-th percentile37.213901
Q137.328593
median37.411278
Q337.65991
95-th percentile37.762889
Maximum37.955865
Range0.97020363
Interquartile range (IQR)0.33131719

Descriptive statistics

Standard deviation0.19865644
Coefficient of variation (CV)0.0053012267
Kurtosis-0.72149132
Mean37.473673
Median Absolute Deviation (MAD)0.13401079
Skewness0.1321471
Sum20385.678
Variance0.03946438
MonotonicityNot monotonic
2023-12-11T07:26:33.249787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3475187602 7
 
1.0%
37.4020645124 5
 
0.7%
37.3243148443 4
 
0.6%
37.3246472804 3
 
0.4%
37.3795300021 3
 
0.4%
37.4321820684 3
 
0.4%
37.3695652241 3
 
0.4%
37.6697457909 3
 
0.4%
37.371842742 2
 
0.3%
37.3599343287 2
 
0.3%
Other values (470) 509
75.3%
(Missing) 132
 
19.5%
ValueCountFrequency (%)
36.9856618186 2
0.3%
36.9896271884 2
0.3%
36.9939059146 1
0.1%
36.9946903957 1
0.1%
37.0094621235 1
0.1%
37.0102580836 1
0.1%
37.0141297274 2
0.3%
37.0224286487 1
0.1%
37.0434547615 1
0.1%
37.0488495272 1
0.1%
ValueCountFrequency (%)
37.9558654465 1
0.1%
37.9530961845 1
0.1%
37.9085006737 1
0.1%
37.9026640375 1
0.1%
37.9009902378 1
0.1%
37.8983230517 1
0.1%
37.8828709967 1
0.1%
37.87709722 1
0.1%
37.8533273303 1
0.1%
37.8511821313 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct480
Distinct (%)88.2%
Missing132
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean126.98
Minimum126.59169
Maximum127.66084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:33.442765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59169
5-th percentile126.74833
Q1126.82212
median126.98294
Q3127.10606
95-th percentile127.21456
Maximum127.66084
Range1.0691562
Interquartile range (IQR)0.28393912

Descriptive statistics

Standard deviation0.16818255
Coefficient of variation (CV)0.0013244807
Kurtosis0.21525093
Mean126.98
Median Absolute Deviation (MAD)0.13515174
Skewness0.29625902
Sum69077.118
Variance0.02828537
MonotonicityNot monotonic
2023-12-11T07:26:33.621211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9552887291 7
 
1.0%
127.1060587259 5
 
0.7%
127.0990606732 4
 
0.6%
127.0987428689 3
 
0.4%
127.1142414695 3
 
0.4%
127.1320565638 3
 
0.4%
126.9376918499 3
 
0.4%
126.7602808453 3
 
0.4%
126.9427797698 2
 
0.3%
126.9311577297 2
 
0.3%
Other values (470) 509
75.3%
(Missing) 132
 
19.5%
ValueCountFrequency (%)
126.5916866673 1
0.1%
126.5988677615 1
0.1%
126.6011375172 1
0.1%
126.6850744733 1
0.1%
126.6851567319 1
0.1%
126.6856557727 1
0.1%
126.6861433859 1
0.1%
126.6865036629 1
0.1%
126.6869240595 1
0.1%
126.6874136046 1
0.1%
ValueCountFrequency (%)
127.6608428738 1
0.1%
127.6379581053 1
0.1%
127.6159240081 1
0.1%
127.4358794049 1
0.1%
127.4337872364 1
0.1%
127.3754739667 2
0.3%
127.3751460295 2
0.3%
127.3213384629 1
0.1%
127.3202790533 1
0.1%
127.3199345361 2
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)91.2%
Missing562
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean198193.17
Minimum160219.18
Maximum233126.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:33.827278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160219.18
5-th percentile174033.47
Q1188047.71
median202462.26
Q3209374.88
95-th percentile215041.19
Maximum233126.58
Range72907.395
Interquartile range (IQR)21327.166

Descriptive statistics

Standard deviation14889.242
Coefficient of variation (CV)0.075124898
Kurtosis-0.48297333
Mean198193.17
Median Absolute Deviation (MAD)8962.4127
Skewness-0.40137758
Sum22594021
Variance2.2168951 × 108
MonotonicityNot monotonic
2023-12-11T07:26:33.978914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209175.219648183 3
 
0.4%
211463.624834385 3
 
0.4%
209374.879569806 2
 
0.3%
197403.859182235 2
 
0.3%
174033.474263709 2
 
0.3%
208955.940552684 2
 
0.3%
208681.95556762 2
 
0.3%
190327.674570207 2
 
0.3%
188960.069683096 1
 
0.1%
178531.937913481 1
 
0.1%
Other values (94) 94
 
13.9%
(Missing) 562
83.1%
ValueCountFrequency (%)
160219.183885881 1
0.1%
164737.161801644 1
0.1%
166969.328528053 1
0.1%
168365.616693059 1
0.1%
172623.98566897 1
0.1%
174033.474263709 2
0.3%
174319.063509427 1
0.1%
174384.697875238 1
0.1%
174904.260395622 1
0.1%
174919.127785972 1
0.1%
ValueCountFrequency (%)
233126.579248311 1
0.1%
226858.91063952 1
0.1%
225903.023978498 1
0.1%
225877.373619866 1
0.1%
218421.138499641 1
0.1%
217919.807743396 1
0.1%
213491.170141499 1
0.1%
212837.223514826 1
0.1%
212696.925562162 1
0.1%
212596.030847234 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)91.2%
Missing562
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean436513.24
Minimum387113.82
Maximum475667.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-11T07:26:34.152164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387113.82
5-th percentile388881.63
Q1423407.04
median433404.71
Q3457649.49
95-th percentile469443.6
Maximum475667.49
Range88553.672
Interquartile range (IQR)34242.444

Descriptive statistics

Standard deviation22979.617
Coefficient of variation (CV)0.052643574
Kurtosis-0.48664356
Mean436513.24
Median Absolute Deviation (MAD)17736.881
Skewness-0.39573715
Sum49762509
Variance5.280628 × 108
MonotonicityNot monotonic
2023-12-11T07:26:34.294011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433168.261766989 3
 
0.4%
436626.99831403 3
 
0.4%
433334.937936425 2
 
0.3%
394116.699962743 2
 
0.3%
469443.595371633 2
 
0.3%
424925.690190368 2
 
0.3%
424741.23823301 2
 
0.3%
455360.926623372 2
 
0.3%
459870.166884156 1
 
0.1%
462015.421463324 1
 
0.1%
Other values (94) 94
 
13.9%
(Missing) 562
83.1%
ValueCountFrequency (%)
387113.81759633 1
0.1%
387122.297914353 1
0.1%
387171.687407656 1
0.1%
387184.53490693 1
0.1%
387210.518715522 1
0.1%
387248.442012847 1
0.1%
389761.042792323 1
0.1%
389763.450278338 1
0.1%
394116.699962743 2
0.3%
406961.182326498 1
0.1%
ValueCountFrequency (%)
475667.489926511 1
0.1%
471708.952534553 1
0.1%
471339.758490346 1
0.1%
470542.180112417 1
0.1%
469868.562235372 1
0.1%
469443.595371633 2
0.3%
467430.435350561 1
0.1%
465417.47346505 1
0.1%
464056.691597359 1
0.1%
463838.046117756 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
음반.음악영상물제작업
676 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 676
100.0%

Length

2023-12-11T07:26:34.452482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:34.563621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 676
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
유통관련업
676 

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 676
100.0%

Length

2023-12-11T07:26:34.669169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:34.764231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 676
100.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
116 
21
 
1

Length

Max length4
Median length4
Mean length3.4822485
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 116
 
17.2%
21 1
 
0.1%

Length

2023-12-11T07:26:34.877318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:34.994379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 116
 
17.2%
21 1
 
0.1%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing675
Missing (%)99.9%
Memory size5.4 KiB
2023-12-11T07:26:35.087335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 row기타
ValueCountFrequency (%)
기타 1
100.0%
2023-12-11T07:26:35.287839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct227
Distinct (%)43.2%
Missing150
Missing (%)22.2%
Memory size5.4 KiB
2023-12-11T07:26:35.485252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length25
Mean length8.5836502
Min length2

Characters and Unicode

Total characters4515
Distinct characters172
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)32.1%

Sample

1st row음반, 음악파일, 음악영상물 등
2nd row음반, 영상물, 뮤직비디오
3rd row음반, 음악파일, 음악영상물, 음악영상파일
4th row음반, 음악파일, 음악영상물, 음악영상파일
5th row음반 제작, 음악영상물 제작
ValueCountFrequency (%)
음반 132
 
16.0%
음악영상물 85
 
10.3%
음악영상파일 38
 
4.6%
제작 31
 
3.8%
영상물 31
 
3.8%
음반,음악영상물 25
 
3.0%
음악 17
 
2.1%
영상 16
 
1.9%
음악영상물,음악영상파일,usb 15
 
1.8%
뮤직비디오 15
 
1.8%
Other values (204) 418
50.8%
2023-12-11T07:26:35.850654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
647
14.3%
441
 
9.8%
437
 
9.7%
338
 
7.5%
, 338
 
7.5%
297
 
6.6%
281
 
6.2%
280
 
6.2%
132
 
2.9%
132
 
2.9%
Other values (162) 1192
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3578
79.2%
Other Punctuation 355
 
7.9%
Space Separator 297
 
6.6%
Uppercase Letter 241
 
5.3%
Lowercase Letter 26
 
0.6%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Connector Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
647
18.1%
441
12.3%
437
12.2%
338
9.4%
281
7.9%
280
7.8%
132
 
3.7%
132
 
3.7%
111
 
3.1%
107
 
3.0%
Other values (127) 672
18.8%
Uppercase Letter
ValueCountFrequency (%)
D 70
29.0%
S 51
21.2%
C 35
14.5%
U 30
12.4%
B 30
12.4%
V 11
 
4.6%
P 3
 
1.2%
T 3
 
1.2%
L 2
 
0.8%
M 2
 
0.8%
Other values (3) 4
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
s 6
23.1%
d 4
15.4%
c 3
11.5%
b 2
 
7.7%
u 2
 
7.7%
p 2
 
7.7%
a 2
 
7.7%
i 1
 
3.8%
t 1
 
3.8%
m 1
 
3.8%
Other values (2) 2
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 338
95.2%
. 7
 
2.0%
· 7
 
2.0%
" 2
 
0.6%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3578
79.2%
Common 670
 
14.8%
Latin 267
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
647
18.1%
441
12.3%
437
12.2%
338
9.4%
281
7.9%
280
7.8%
132
 
3.7%
132
 
3.7%
111
 
3.1%
107
 
3.0%
Other values (127) 672
18.8%
Latin
ValueCountFrequency (%)
D 70
26.2%
S 51
19.1%
C 35
13.1%
U 30
11.2%
B 30
11.2%
V 11
 
4.1%
s 6
 
2.2%
d 4
 
1.5%
P 3
 
1.1%
T 3
 
1.1%
Other values (15) 24
 
9.0%
Common
ValueCountFrequency (%)
, 338
50.4%
297
44.3%
( 8
 
1.2%
) 8
 
1.2%
. 7
 
1.0%
· 7
 
1.0%
" 2
 
0.3%
_ 1
 
0.1%
4 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3578
79.2%
ASCII 930
 
20.6%
None 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
647
18.1%
441
12.3%
437
12.2%
338
9.4%
281
7.9%
280
7.8%
132
 
3.7%
132
 
3.7%
111
 
3.1%
107
 
3.0%
Other values (127) 672
18.8%
ASCII
ValueCountFrequency (%)
, 338
36.3%
297
31.9%
D 70
 
7.5%
S 51
 
5.5%
C 35
 
3.8%
U 30
 
3.2%
B 30
 
3.2%
V 11
 
1.2%
( 8
 
0.9%
) 8
 
0.9%
Other values (24) 52
 
5.6%
None
ValueCountFrequency (%)
· 7
100.0%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
114 
19
 
1
10
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4837278
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 114
 
16.9%
19 1
 
0.1%
10 1
 
0.1%
1 1
 
0.1%

Length

2023-12-11T07:26:35.977689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:36.118272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 114
 
16.9%
19 1
 
0.1%
10 1
 
0.1%
1 1
 
0.1%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
115 
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4807692
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 115
 
17.0%
2 1
 
0.1%
1 1
 
0.1%

Length

2023-12-11T07:26:36.282075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:36.405255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 115
 
17.0%
2 1
 
0.1%
1 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
117 

Length

Max length4
Median length4
Mean length3.4807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 117
 
17.3%

Length

2023-12-11T07:26:36.510356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:36.613209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 117
 
17.3%

노래방실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
117 

Length

Max length4
Median length4
Mean length3.4807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 117
 
17.3%

Length

2023-12-11T07:26:37.062826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:37.150701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 117
 
17.3%

청소년실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
117 

Length

Max length4
Median length4
Mean length3.4807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 117
 
17.3%

Length

2023-12-11T07:26:37.260244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:37.366353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 117
 
17.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
559 
0
117 

Length

Max length4
Median length4
Mean length3.4807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 559
82.7%
0 117
 
17.3%

Length

2023-12-11T07:26:37.462754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:37.555913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 559
82.7%
0 117
 
17.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing676
Missing (%)100.0%
Memory size6.1 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용지상층수지하층수조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명
0고양시유어메이트2023-07-27<NA>13영업중<NA><NA><NA>10545경기도 고양시 덕양구 꽃마을로 **, **층 ****호 (향동동)경기도 고양시 덕양구 향동동 *** ****호<NA><NA><NA><NA>190327.67457455360.926623음반.음악영상물제작업유통관련업0<NA>음반, 음악파일, 음악영상물 등00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
1고양시주식회사 퍼니필름2023-03-03<NA>13영업중<NA>031-932-4478<NA>10402경기도 고양시 일산동구 정발산로 **-**, 센트럴프라자 ***호 (장항동)경기도 고양시 일산동구 장항동 *** 센트럴프라자 ***호<NA><NA><NA><NA>179935.267999461800.124782음반.음악영상물제작업유통관련업0<NA><NA>00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
2고양시(주)몽뜨레쎼 코리아2023-07-03<NA>13영업중<NA><NA><NA>10543경기도 고양시 덕양구 청초로 **, ****~****호 (덕은동)경기도 고양시 덕양구 덕은동 * ****~****호10544<NA><NA><NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반, 영상물, 뮤직비디오00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
3고양시㈜아몽 아트드림2023-01-04<NA>13영업중<NA><NA><NA>10492경기도 고양시 덕양구 화신로 ***, ****동 ****호 (행신동, 햇빛마을**단지아파트)경기도 고양시 덕양구 행신동 *** 햇빛마을**단지아파트 ****동 ****호<NA><NA><NA><NA>185943.868126457688.920197음반.음악영상물제작업유통관련업0<NA>음반, 음악파일, 음악영상물, 음악영상파일00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
4고양시지지스튜디오2023-08-22<NA>13영업중<NA><NA><NA>10545경기도 고양시 덕양구 꽃마을로 **, ****호 (향동동)경기도 고양시 덕양구 향동동 *** ****호<NA><NA><NA><NA>190327.67457455360.926623음반.음악영상물제작업유통관련업0<NA>음반, 음악파일, 음악영상물, 음악영상파일00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
5고양시제이 엔터테이먼트2023-09-22<NA>13영업중<NA><NA><NA>10357경기도 고양시 일산동구 산두로 ***, ***동 ***호 (정발산동, 밤가시마을*단지건영빌라)경기도 고양시 일산동구 정발산동 **** 밤가시마을*단지건영빌라<NA><NA><NA><NA>180480.101652463805.013581음반.음악영상물제작업유통관련업0<NA>음반 제작, 음악영상물 제작00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
6고양시주식회사 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.음악영상물제작업유통관련업0<NA>음원, 뮤직비디오, 메타버스 영상 콘텐츠, 애니메이션 콘텐츠, 일반 영상물, 아트 일러스트 등 콘텐츠 일체00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
7고양시엔소드2022-12-09<NA>13영업중<NA><NA><NA>10546경기도 고양시 덕양구 꽃마을로 **, 한일미디어타워 ****호 (향동동)경기도 고양시 덕양구 향동동 *** 한일미디어타워 ****호<NA><NA><NA><NA>190512.495203455441.518601음반.음악영상물제작업유통관련업0<NA><NA>00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
8고양시어썸2023-04-10<NA>13영업중<NA><NA><NA>10362경기도 고양시 일산동구 대산로**번길 **-*, ***호 (정발산동)경기도 고양시 일산동구 정발산동 ***-**<NA><NA><NA><NA>179773.270137462844.534579음반.음악영상물제작업유통관련업0<NA><NA>00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
9고양시뮤직레시피2023-04-26<NA>13영업중<NA><NA><NA>10402경기도 고양시 일산동구 정발산로 **-*, 메리트윈 *동 ***호 (장항동)경기도 고양시 일산동구 장항동 *** 메리트 윈<NA><NA><NA><NA>179896.773083461714.401922음반.음악영상물제작업유통관련업0<NA>음반·음악영상물00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용지상층수지하층수조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명
666화성시카네기노래뮤비방2019-07-16<NA>3폐업2023-08-23<NA><NA>18362경기도 화성시 용주로 ** (안녕동)경기도 화성시 안녕동 **-**18352<NA><NA><NA>201149.458073411479.338419음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
667화성시에디노래뮤비방2019-09-26<NA>3폐업2023-08-16<NA><NA>18390경기도 화성시 떡전골로 ***, *층 (진안동)경기도 화성시 진안동 ***-*<NA><NA><NA><NA>202868.221577411794.114566음반.음악영상물제작업유통관련업0<NA><NA>00000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
668화성시황제노래뮤비방2019-08-02<NA>3폐업2023-10-05<NA><NA>18399경기도 화성시 효행로****번길 *-*, *층 (진안동)경기도 화성시 진안동 ***-*<NA><NA><NA><NA>203568.744578412505.699914음반.음악영상물제작업유통관련업<NA><NA>노래영상물제작,노래음악영상파일<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
669화성시선데이디스코 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.음악영상물제작업유통관련업<NA><NA>음반제작(기획)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
670화성시킹영상제작실20140227<NA><NA>폐업 등20171011<NA><NA><NA>경기도 화성시 봉담읍 와우안길 **, ***호경기도 화성시 봉담읍 와우리 **-*번지1832137.215534126.97656<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음바,음악영상물제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
671화성시채플린노래영상기획20130422<NA><NA>폐업 등20140709<NA><NA><NA>경기도 화성시 효행로****번길 * (진안동)경기도 화성시 진안동 ***-*번지1840437.213442127.04147<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
672화성시콩깍지 노래20120120<NA><NA>폐업 등20141021<NA><NA><NA>경기도 화성시 병점중앙로 *** (진안동,*층)경기도 화성시 진안동 ***-*번지 *층1840437.211951127.038312<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음반, 음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
673화성시태양영상제작실20171117<NA><NA>폐업 등20180201<NA><NA><NA>경기도 화성시 남양읍 남양시장로**번길 *, 지하*층경기도 화성시 남양읍 남양리 ****번지1826137.208646126.816905<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>모바일,USB 영상제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
674화성시카카오 노래 영상20111229<NA><NA>폐업 등20151102<NA><NA><NA>경기도 화성시 영통로**번길 * (반월동,제일프라자 ***,***호)경기도 화성시 반월동 ***-*번지 제일프라자 ***,***호1837737.235483127.061144<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>영상물, CD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
675화성시벤허노래기획20120309<NA><NA>폐업 등20150210<NA><NA><NA>경기도 화성시 병점동로 *** (진안동)경기도 화성시 진안동 ***-*번지1839937.213613127.039136<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용지상층수지하층수조명시설조도량노래방실수청소년실수총게임기수# duplicates
0안양시엠지에스엘(MGSL)2023-07-17<NA>13영업중<NA><NA>14033경기도 안양시 만안구 만안로 **, 프리빌오피스텔 ****호 (안양동)경기도 안양시 만안구 안양동 ***-* 프리빌오피스텔<NA><NA><NA><NA><NA>음반.음악영상물제작업유통관련업0<NA><NA>0000002