Overview

Dataset statistics

Number of variables31
Number of observations5746
Missing cells64368
Missing cells (%)36.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory267.0 B

Variable types

Categorical11
Text5
DateTime2
Unsupported5
Numeric7
Boolean1

Dataset

Description단란주점 영업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5L3FCY3Q005FFXTVQSQN14244315&infSeq=1

Alerts

영업상태구분코드 is highly imbalanced (75.0%)Imbalance
업태구분명정보 is highly imbalanced (62.5%)Imbalance
위생업태명 is highly imbalanced (57.3%)Imbalance
본사종업원수 is highly imbalanced (72.9%)Imbalance
공장사무소종업원수 is highly imbalanced (72.9%)Imbalance
공장판매직종업원수 is highly imbalanced (72.9%)Imbalance
공장생산직종업원수 is highly imbalanced (72.9%)Imbalance
보증액 is highly imbalanced (72.9%)Imbalance
월세액 is highly imbalanced (72.9%)Imbalance
인허가취소일자 has 5746 (100.0%) missing valuesMissing
폐업일자 has 2361 (41.1%) missing valuesMissing
소재지시설전화번호 has 5526 (96.2%) missing valuesMissing
소재지면적정보 has 5329 (92.7%) missing valuesMissing
도로명우편번호 has 5337 (92.9%) missing valuesMissing
소재지도로명주소 has 355 (6.2%) missing valuesMissing
WGS84위도 has 110 (1.9%) missing valuesMissing
WGS84경도 has 110 (1.9%) missing valuesMissing
X좌표값 has 5334 (92.8%) missing valuesMissing
Y좌표값 has 5334 (92.8%) missing valuesMissing
건물소유구분명 has 5746 (100.0%) missing valuesMissing
다중이용업소여부 has 501 (8.7%) missing valuesMissing
시설총규모정보 has 5329 (92.7%) missing valuesMissing
전통업소지정번호 has 5746 (100.0%) missing valuesMissing
홈페이지URL has 5746 (100.0%) missing valuesMissing
전통업소음식 has 5746 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:11:26.799960
Analysis finished2023-12-10 21:11:28.079148
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
안산시
681 
부천시
637 
성남시
442 
의정부시
383 
수원시
372 
Other values (26)
3231 

Length

Max length4
Median length3
Mean length3.1087713
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 681
 
11.9%
부천시 637
 
11.1%
성남시 442
 
7.7%
의정부시 383
 
6.7%
수원시 372
 
6.5%
안양시 347
 
6.0%
고양시 267
 
4.6%
평택시 223
 
3.9%
용인시 205
 
3.6%
군포시 196
 
3.4%
Other values (21) 1993
34.7%

Length

2023-12-11T06:11:28.133954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 681
 
11.9%
부천시 637
 
11.1%
성남시 442
 
7.7%
의정부시 383
 
6.7%
수원시 372
 
6.5%
안양시 347
 
6.0%
고양시 267
 
4.6%
평택시 223
 
3.9%
용인시 205
 
3.6%
군포시 196
 
3.4%
Other values (21) 1993
34.7%

사업장명
Text

Distinct4371
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
2023-12-11T06:11:28.403486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length5.5006961
Min length1

Characters and Unicode

Total characters31607
Distinct characters831
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3556 ?
Unique (%)61.9%

Sample

1st row리버파크단란주점
2nd row동그라미단란주점
3rd row호반에 도시
4th row술마시는에이스노래장
5th row럭셔리궁 단란주점
ValueCountFrequency (%)
단란주점 392
 
6.1%
라이브 51
 
0.8%
7080 31
 
0.5%
노래하는 19
 
0.3%
노래주점 18
 
0.3%
모래시계 14
 
0.2%
백악관 12
 
0.2%
7080라이브 12
 
0.2%
콘서트7080 11
 
0.2%
아지트 11
 
0.2%
Other values (4241) 5868
91.1%
2023-12-11T06:11:28.799750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2275
 
7.2%
점 2227
 
7.0%
단 1983
 
6.3%
란 1982
 
6.3%
이 922
 
2.9%
0 844
 
2.7%
래 741
 
2.3%
노 727
 
2.3%
696
 
2.2%
라 690
 
2.2%
Other values (821) 18520
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28346
89.7%
Decimal Number 1805
 
5.7%
Space Separator 696
 
2.2%
Uppercase Letter 361
 
1.1%
Lowercase Letter 131
 
0.4%
Open Punctuation 98
 
0.3%
Close Punctuation 98
 
0.3%
Other Punctuation 55
 
0.2%
Letter Number 9
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2275
 
8.0%
점 2227
 
7.9%
단 1983
 
7.0%
란 1982
 
7.0%
이 922
 
3.3%
래 741
 
2.6%
노 727
 
2.6%
라 690
 
2.4%
스 601
 
2.1%
브 543
 
1.9%
Other values (750) 15655
55.2%
Uppercase Letter
ValueCountFrequency (%)
B 38
 
10.5%
O 31
 
8.6%
S 29
 
8.0%
M 26
 
7.2%
E 21
 
5.8%
A 21
 
5.8%
K 21
 
5.8%
N 21
 
5.8%
W 19
 
5.3%
L 16
 
4.4%
Other values (16) 118
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 19
14.5%
s 14
 
10.7%
u 12
 
9.2%
i 10
 
7.6%
o 9
 
6.9%
l 8
 
6.1%
a 7
 
5.3%
k 6
 
4.6%
r 5
 
3.8%
n 5
 
3.8%
Other values (11) 36
27.5%
Decimal Number
ValueCountFrequency (%)
0 844
46.8%
7 389
21.6%
8 381
21.1%
2 70
 
3.9%
3 33
 
1.8%
9 26
 
1.4%
1 23
 
1.3%
4 19
 
1.1%
5 13
 
0.7%
6 7
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 43
78.2%
& 7
 
12.7%
' 2
 
3.6%
: 1
 
1.8%
! 1
 
1.8%
, 1
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
66.7%
ⅱ 2
 
22.2%
Ⅲ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
696
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28345
89.7%
Common 2760
 
8.7%
Latin 501
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2275
 
8.0%
점 2227
 
7.9%
단 1983
 
7.0%
란 1982
 
7.0%
이 922
 
3.3%
래 741
 
2.6%
노 727
 
2.6%
라 690
 
2.4%
스 601
 
2.1%
브 543
 
1.9%
Other values (749) 15654
55.2%
Latin
ValueCountFrequency (%)
B 38
 
7.6%
O 31
 
6.2%
S 29
 
5.8%
M 26
 
5.2%
E 21
 
4.2%
A 21
 
4.2%
K 21
 
4.2%
N 21
 
4.2%
W 19
 
3.8%
e 19
 
3.8%
Other values (40) 255
50.9%
Common
ValueCountFrequency (%)
0 844
30.6%
696
25.2%
7 389
14.1%
8 381
13.8%
( 98
 
3.6%
) 98
 
3.6%
2 70
 
2.5%
. 43
 
1.6%
3 33
 
1.2%
9 26
 
0.9%
Other values (11) 82
 
3.0%
Han
ValueCountFrequency (%)
夜 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28343
89.7%
ASCII 3252
 
10.3%
Number Forms 9
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2275
 
8.0%
점 2227
 
7.9%
단 1983
 
7.0%
란 1982
 
7.0%
이 922
 
3.3%
래 741
 
2.6%
노 727
 
2.6%
라 690
 
2.4%
스 601
 
2.1%
브 543
 
1.9%
Other values (747) 15652
55.2%
ASCII
ValueCountFrequency (%)
0 844
26.0%
696
21.4%
7 389
12.0%
8 381
11.7%
( 98
 
3.0%
) 98
 
3.0%
2 70
 
2.2%
. 43
 
1.3%
B 38
 
1.2%
3 33
 
1.0%
Other values (58) 562
17.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
66.7%
ⅱ 2
 
22.2%
Ⅲ 1
 
11.1%
CJK
ValueCountFrequency (%)
夜 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅋ 1
50.0%

인허가일자
Date

Distinct3176
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
Minimum1992-08-27 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:11:28.929478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:29.066426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5746
Missing (%)100.0%
Memory size50.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5329 
1
 
396
2
 
21

Length

Max length4
Median length4
Mean length3.7822833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5329
92.7%
1 396
 
6.9%
2 21
 
0.4%

Length

2023-12-11T06:11:29.181348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:29.265701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5329
92.7%
1 396
 
6.9%
2 21
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
폐업 등
3364 
운영중
1965 
영업
396 
폐업
 
21

Length

Max length4
Median length4
Mean length3.5128785
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 3364
58.5%
운영중 1965
34.2%
영업 396
 
6.9%
폐업 21
 
0.4%

Length

2023-12-11T06:11:29.370848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:29.498373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3385
37.2%
등 3364
36.9%
운영중 1965
21.6%
영업 396
 
4.3%

폐업일자
Date

MISSING 

Distinct2337
Distinct (%)69.0%
Missing2361
Missing (%)41.1%
Memory size45.0 KiB
Minimum1993-11-29 00:00:00
Maximum2023-11-13 00:00:00
2023-12-11T06:11:29.637773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:29.761259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct220
Distinct (%)100.0%
Missing5526
Missing (%)96.2%
Memory size45.0 KiB
2023-12-11T06:11:30.044924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.309091
Min length7

Characters and Unicode

Total characters2488
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

Unique220 ?
Unique (%)100.0%

Sample

1st row031 5859688
2nd row031 584 5452
3rd row031 9020111
4th row031 9705437
5th row031 9625194
ValueCountFrequency (%)
031 174
33.0%
032 22
 
4.2%
02 3
 
0.6%
325 3
 
0.6%
322 3
 
0.6%
655 3
 
0.6%
373 2
 
0.4%
7089 2
 
0.4%
651 2
 
0.4%
874 2
 
0.4%
Other values (301) 311
59.0%
2023-12-11T06:11:30.520448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 359
14.4%
3 348
14.0%
316
12.7%
1 297
11.9%
2 211
8.5%
8 187
7.5%
6 186
7.5%
7 168
6.8%
5 149
6.0%
4 135
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2172
87.3%
Space Separator 316
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 359
16.5%
3 348
16.0%
1 297
13.7%
2 211
9.7%
8 187
8.6%
6 186
8.6%
7 168
7.7%
5 149
6.9%
4 135
 
6.2%
9 132
 
6.1%
Space Separator
ValueCountFrequency (%)
316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 359
14.4%
3 348
14.0%
316
12.7%
1 297
11.9%
2 211
8.5%
8 187
7.5%
6 186
7.5%
7 168
6.8%
5 149
6.0%
4 135
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 359
14.4%
3 348
14.0%
316
12.7%
1 297
11.9%
2 211
8.5%
8 187
7.5%
6 186
7.5%
7 168
6.8%
5 149
6.0%
4 135
 
5.4%

소재지면적정보
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)96.9%
Missing5329
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean105.15993
Minimum23
Maximum378.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:30.695353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile58.446
Q184.99
median103.37
Q3125.69
95-th percentile147.716
Maximum378.48
Range355.48
Interquartile range (IQR)40.7

Descriptive statistics

Standard deviation33.89036
Coefficient of variation (CV)0.32227447
Kurtosis12.413337
Mean105.15993
Median Absolute Deviation (MAD)19.83
Skewness1.9053404
Sum43851.69
Variance1148.5565
MonotonicityNot monotonic
2023-12-11T06:11:30.856287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.66 2
 
< 0.1%
148.5 2
 
< 0.1%
79.38 2
 
< 0.1%
84.99 2
 
< 0.1%
110.0 2
 
< 0.1%
109.0 2
 
< 0.1%
143.56 2
 
< 0.1%
125.69 2
 
< 0.1%
95.65 2
 
< 0.1%
111.36 2
 
< 0.1%
Other values (394) 397
 
6.9%
(Missing) 5329
92.7%
ValueCountFrequency (%)
23.0 1
< 0.1%
30.07 1
< 0.1%
34.43 1
< 0.1%
38.78 1
< 0.1%
40.17 1
< 0.1%
40.37 1
< 0.1%
42.0 1
< 0.1%
42.47 1
< 0.1%
42.75 1
< 0.1%
43.8 1
< 0.1%
ValueCountFrequency (%)
378.48 1
< 0.1%
292.64 1
< 0.1%
241.15 1
< 0.1%
229.38 1
< 0.1%
228.0 1
< 0.1%
212.1 1
< 0.1%
160.07 1
< 0.1%
149.9 1
< 0.1%
149.86 1
< 0.1%
149.83 1
< 0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct255
Distinct (%)62.3%
Missing5337
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean14303.822
Minimum10018
Maximum18623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:31.018945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10476
Q111928
median14544
Q316271
95-th percentile18261
Maximum18623
Range8605
Interquartile range (IQR)4343

Descriptive statistics

Standard deviation2424.6217
Coefficient of variation (CV)0.16950866
Kurtosis-1.0889421
Mean14303.822
Median Absolute Deviation (MAD)1988
Skewness0.063259247
Sum5850263
Variance5878790.2
MonotonicityNot monotonic
2023-12-11T06:11:31.151535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15040 7
 
0.1%
14544 7
 
0.1%
14548 6
 
0.1%
11813 6
 
0.1%
11927 5
 
0.1%
15470 5
 
0.1%
15471 5
 
0.1%
11650 5
 
0.1%
11492 5
 
0.1%
17774 5
 
0.1%
Other values (245) 353
 
6.1%
(Missing) 5337
92.9%
ValueCountFrequency (%)
10018 1
< 0.1%
10019 1
< 0.1%
10024 1
< 0.1%
10071 1
< 0.1%
10098 1
< 0.1%
10129 1
< 0.1%
10274 1
< 0.1%
10285 1
< 0.1%
10286 2
< 0.1%
10342 1
< 0.1%
ValueCountFrequency (%)
18623 1
 
< 0.1%
18606 1
 
< 0.1%
18600 1
 
< 0.1%
18593 4
0.1%
18577 1
 
< 0.1%
18455 3
0.1%
18453 4
0.1%
18401 1
 
< 0.1%
18313 1
 
< 0.1%
18309 1
 
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct4674
Distinct (%)86.7%
Missing355
Missing (%)6.2%
Memory size45.0 KiB
2023-12-11T06:11:31.428567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length50
Mean length25.003895
Min length13

Characters and Unicode

Total characters134796
Distinct characters427
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

Unique4082 ?
Unique (%)75.7%

Sample

1st row경기도 가평군 청평면 은행나무길 19 (632-1)
2nd row경기도 가평군 조종면 조종희망로5번길 12-4, 2층
3rd row경기도 가평군 청평면 청평중앙로 30, 지하1층
4th row경기도 가평군 가평읍 가화로 54, 지하층
5th row경기도 가평군 조종면 조종희망로5번길 12 (외 1필지)
ValueCountFrequency (%)
경기도 5391
 
18.1%
안산시 669
 
2.2%
부천시 593
 
2.0%
단원구 477
 
1.6%
성남시 426
 
1.4%
의정부시 361
 
1.2%
수원시 348
 
1.2%
안양시 329
 
1.1%
2층 327
 
1.1%
지하1층 297
 
1.0%
Other values (3968) 20517
69.0%
2023-12-11T06:11:31.897822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24351
 
18.1%
시 5616
 
4.2%
경 5601
 
4.2%
도 5491
 
4.1%
기 5486
 
4.1%
1 5163
 
3.8%
로 5035
 
3.7%
2 3857
 
2.9%
동 2864
 
2.1%
3 2640
 
2.0%
Other values (417) 68692
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78757
58.4%
Space Separator 24351
 
18.1%
Decimal Number 23102
 
17.1%
Open Punctuation 2547
 
1.9%
Close Punctuation 2547
 
1.9%
Other Punctuation 2330
 
1.7%
Dash Punctuation 1067
 
0.8%
Uppercase Letter 83
 
0.1%
Letter Number 7
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5616
 
7.1%
경 5601
 
7.1%
도 5491
 
7.0%
기 5486
 
7.0%
로 5035
 
6.4%
동 2864
 
3.6%
구 2438
 
3.1%
길 2430
 
3.1%
번 1940
 
2.5%
안 1922
 
2.4%
Other values (387) 39934
50.7%
Decimal Number
ValueCountFrequency (%)
1 5163
22.3%
2 3857
16.7%
3 2640
11.4%
0 1962
 
8.5%
4 1959
 
8.5%
5 1869
 
8.1%
7 1496
 
6.5%
6 1482
 
6.4%
9 1385
 
6.0%
8 1289
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 53
63.9%
A 9
 
10.8%
C 6
 
7.2%
G 4
 
4.8%
M 3
 
3.6%
S 2
 
2.4%
J 2
 
2.4%
L 2
 
2.4%
D 1
 
1.2%
R 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2317
99.4%
. 13
 
0.6%
Space Separator
ValueCountFrequency (%)
24351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1067
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78757
58.4%
Common 55949
41.5%
Latin 90
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5616
 
7.1%
경 5601
 
7.1%
도 5491
 
7.0%
기 5486
 
7.0%
로 5035
 
6.4%
동 2864
 
3.6%
구 2438
 
3.1%
길 2430
 
3.1%
번 1940
 
2.5%
안 1922
 
2.4%
Other values (387) 39934
50.7%
Common
ValueCountFrequency (%)
24351
43.5%
1 5163
 
9.2%
2 3857
 
6.9%
3 2640
 
4.7%
( 2547
 
4.6%
) 2547
 
4.6%
, 2317
 
4.1%
0 1962
 
3.5%
4 1959
 
3.5%
5 1869
 
3.3%
Other values (7) 6737
 
12.0%
Latin
ValueCountFrequency (%)
B 53
58.9%
A 9
 
10.0%
C 6
 
6.7%
Ⅱ 5
 
5.6%
G 4
 
4.4%
M 3
 
3.3%
S 2
 
2.2%
J 2
 
2.2%
L 2
 
2.2%
Ⅰ 1
 
1.1%
Other values (3) 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78757
58.4%
ASCII 56032
41.6%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24351
43.5%
1 5163
 
9.2%
2 3857
 
6.9%
3 2640
 
4.7%
( 2547
 
4.5%
) 2547
 
4.5%
, 2317
 
4.1%
0 1962
 
3.5%
4 1959
 
3.5%
5 1869
 
3.3%
Other values (17) 6820
 
12.2%
Hangul
ValueCountFrequency (%)
시 5616
 
7.1%
경 5601
 
7.1%
도 5491
 
7.0%
기 5486
 
7.0%
로 5035
 
6.4%
동 2864
 
3.6%
구 2438
 
3.1%
길 2430
 
3.1%
번 1940
 
2.5%
안 1922
 
2.4%
Other values (387) 39934
50.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%

소재지지번주소
Text

Distinct5429
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
2023-12-11T06:11:32.233457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length25.231117
Min length15

Characters and Unicode

Total characters144978
Distinct characters397
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5141 ?
Unique (%)89.5%

Sample

1st row경기도 가평군 청평면 대성리 631-2 632-1
2nd row경기도 가평군 조종면 현리 264-66 외 1필지 (264-67), 2층
3rd row경기도 가평군 청평면 청평리 434-59 지하1층
4th row경기도 가평군 가평읍 대곡리 167-2번지 외 2필지, 지하
5th row경기도 가평군 조종면 현리 264-66번지 외 1필지
ValueCountFrequency (%)
경기도 5746
 
18.7%
안산시 681
 
2.2%
부천시 637
 
2.1%
지층 604
 
2.0%
단원구 488
 
1.6%
지하1층 466
 
1.5%
성남시 442
 
1.4%
의정부시 383
 
1.2%
수원시 372
 
1.2%
안양시 347
 
1.1%
Other values (6138) 20481
66.8%
2023-12-11T06:11:32.957891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25262
 
17.4%
지 7129
 
4.9%
1 6349
 
4.4%
도 5843
 
4.0%
기 5826
 
4.0%
시 5817
 
4.0%
경 5774
 
4.0%
번 5363
 
3.7%
동 5292
 
3.7%
- 5088
 
3.5%
Other values (387) 67235
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83511
57.6%
Decimal Number 29698
 
20.5%
Space Separator 25262
 
17.4%
Dash Punctuation 5088
 
3.5%
Open Punctuation 436
 
0.3%
Close Punctuation 436
 
0.3%
Other Punctuation 425
 
0.3%
Uppercase Letter 104
 
0.1%
Math Symbol 9
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7129
 
8.5%
도 5843
 
7.0%
기 5826
 
7.0%
시 5817
 
7.0%
경 5774
 
6.9%
번 5363
 
6.4%
동 5292
 
6.3%
구 2496
 
3.0%
층 1943
 
2.3%
안 1848
 
2.2%
Other values (354) 36180
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 67
64.4%
A 11
 
10.6%
C 9
 
8.7%
G 4
 
3.8%
M 3
 
2.9%
S 2
 
1.9%
D 2
 
1.9%
J 2
 
1.9%
L 2
 
1.9%
I 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 6349
21.4%
2 4033
13.6%
3 3189
10.7%
4 2879
9.7%
0 2679
9.0%
5 2581
8.7%
7 2452
 
8.3%
6 2055
 
6.9%
8 1789
 
6.0%
9 1692
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 401
94.4%
. 20
 
4.7%
/ 4
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
25262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5088
100.0%
Open Punctuation
ValueCountFrequency (%)
( 436
100.0%
Close Punctuation
ValueCountFrequency (%)
) 436
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83511
57.6%
Common 61354
42.3%
Latin 113
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7129
 
8.5%
도 5843
 
7.0%
기 5826
 
7.0%
시 5817
 
7.0%
경 5774
 
6.9%
번 5363
 
6.4%
동 5292
 
6.3%
구 2496
 
3.0%
층 1943
 
2.3%
안 1848
 
2.2%
Other values (354) 36180
43.3%
Common
ValueCountFrequency (%)
25262
41.2%
1 6349
 
10.3%
- 5088
 
8.3%
2 4033
 
6.6%
3 3189
 
5.2%
4 2879
 
4.7%
0 2679
 
4.4%
5 2581
 
4.2%
7 2452
 
4.0%
6 2055
 
3.3%
Other values (8) 4787
 
7.8%
Latin
ValueCountFrequency (%)
B 67
59.3%
A 11
 
9.7%
C 9
 
8.0%
Ⅱ 5
 
4.4%
G 4
 
3.5%
M 3
 
2.7%
S 2
 
1.8%
D 2
 
1.8%
J 2
 
1.8%
c 2
 
1.8%
Other values (5) 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83511
57.6%
ASCII 61461
42.4%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25262
41.1%
1 6349
 
10.3%
- 5088
 
8.3%
2 4033
 
6.6%
3 3189
 
5.2%
4 2879
 
4.7%
0 2679
 
4.4%
5 2581
 
4.2%
7 2452
 
4.0%
6 2055
 
3.3%
Other values (21) 4894
 
8.0%
Hangul
ValueCountFrequency (%)
지 7129
 
8.5%
도 5843
 
7.0%
기 5826
 
7.0%
시 5817
 
7.0%
경 5774
 
6.9%
번 5363
 
6.4%
동 5292
 
6.3%
구 2496
 
3.0%
층 1943
 
2.3%
안 1848
 
2.2%
Other values (354) 36180
43.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%

소재지우편번호
Text

Distinct1057
Distinct (%)18.4%
Missing12
Missing (%)0.2%
Memory size45.0 KiB
2023-12-11T06:11:33.260938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9539588
Min length5

Characters and Unicode

Total characters34140
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

Unique408 ?
Unique (%)7.1%

Sample

1st row477-812
2nd row12437
3rd row477-813
4th row477804
5th row12437
ValueCountFrequency (%)
425868 134
 
2.3%
425845 66
 
1.2%
471815 60
 
1.0%
426815 59
 
1.0%
423837 52
 
0.9%
480843 51
 
0.9%
14580 50
 
0.9%
14634 50
 
0.9%
480842 48
 
0.8%
435842 48
 
0.8%
Other values (1047) 5116
89.2%
2023-12-11T06:11:33.684647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 8252
24.2%
8 5691
16.7%
2 3440
10.1%
1 3375
9.9%
0 2880
 
8.4%
5 2512
 
7.4%
3 2505
 
7.3%
6 2395
 
7.0%
7 1630
 
4.8%
9 1087
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33767
98.9%
Dash Punctuation 373
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 8252
24.4%
8 5691
16.9%
2 3440
10.2%
1 3375
10.0%
0 2880
 
8.5%
5 2512
 
7.4%
3 2505
 
7.4%
6 2395
 
7.1%
7 1630
 
4.8%
9 1087
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 8252
24.2%
8 5691
16.7%
2 3440
10.1%
1 3375
9.9%
0 2880
 
8.4%
5 2512
 
7.4%
3 2505
 
7.3%
6 2395
 
7.0%
7 1630
 
4.8%
9 1087
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 8252
24.2%
8 5691
16.7%
2 3440
10.1%
1 3375
9.9%
0 2880
 
8.4%
5 2512
 
7.4%
3 2505
 
7.3%
6 2395
 
7.0%
7 1630
 
4.8%
9 1087
 
3.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct4336
Distinct (%)76.9%
Missing110
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean37.456789
Minimum36.942999
Maximum38.185047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:33.827990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.942999
5-th percentile37.080522
Q137.310532
median37.432954
Q337.620972
95-th percentile37.856612
Maximum38.185047
Range1.2420482
Interquartile range (IQR)0.31043975

Descriptive statistics

Standard deviation0.2229443
Coefficient of variation (CV)0.0059520399
Kurtosis0.00092552373
Mean37.456789
Median Absolute Deviation (MAD)0.13157392
Skewness0.34964242
Sum211106.46
Variance0.049704163
MonotonicityNot monotonic
2023-12-11T06:11:33.948022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.31795904 9
 
0.2%
37.427751416 9
 
0.2%
37.6571902641 8
 
0.1%
37.3186620179 8
 
0.1%
37.3119260049 8
 
0.1%
37.3013804164 8
 
0.1%
37.3176344336 8
 
0.1%
37.3173704199 7
 
0.1%
37.4287117385 7
 
0.1%
37.3183708813 7
 
0.1%
Other values (4326) 5557
96.7%
(Missing) 110
 
1.9%
ValueCountFrequency (%)
36.9429990548 1
< 0.1%
36.9496227968 1
< 0.1%
36.9497746801 1
< 0.1%
36.9584361494 1
< 0.1%
36.9591242585 1
< 0.1%
36.9593457707 2
< 0.1%
36.9596346739 1
< 0.1%
36.9597125094 1
< 0.1%
36.9597668961 1
< 0.1%
36.9600458627 1
< 0.1%
ValueCountFrequency (%)
38.1850472728 1
< 0.1%
38.1588503796 1
< 0.1%
38.1588157231 1
< 0.1%
38.1585192354 1
< 0.1%
38.1581585132 1
< 0.1%
38.1569051964 1
< 0.1%
38.1329801507 2
< 0.1%
38.1001948371 1
< 0.1%
38.0994157836 1
< 0.1%
38.0993884751 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct4336
Distinct (%)76.9%
Missing110
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean126.9909
Minimum126.5324
Maximum127.75609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:34.088134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5324
5-th percentile126.7606
Q1126.82815
median126.975
Q3127.12123
95-th percentile127.35664
Maximum127.75609
Range1.2236924
Interquartile range (IQR)0.29307929

Descriptive statistics

Standard deviation0.19742639
Coefficient of variation (CV)0.0015546499
Kurtosis0.65702977
Mean126.9909
Median Absolute Deviation (MAD)0.14682022
Skewness0.79753621
Sum715720.71
Variance0.038977178
MonotonicityNot monotonic
2023-12-11T06:11:34.237982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8395612666 9
 
0.2%
126.9920513446 9
 
0.2%
127.3025271053 8
 
0.1%
126.8395438295 8
 
0.1%
126.8310374164 8
 
0.1%
126.8655115751 8
 
0.1%
126.8395415351 8
 
0.1%
126.8423088804 7
 
0.1%
126.9931864222 7
 
0.1%
126.8390610787 7
 
0.1%
Other values (4326) 5557
96.7%
(Missing) 110
 
1.9%
ValueCountFrequency (%)
126.5324003891 1
< 0.1%
126.5441024 1
< 0.1%
126.5537492436 1
< 0.1%
126.5556706278 1
< 0.1%
126.5564058926 1
< 0.1%
126.5567860205 2
< 0.1%
126.55991476 1
< 0.1%
126.5602891393 1
< 0.1%
126.5606611859 1
< 0.1%
126.5719127531 1
< 0.1%
ValueCountFrequency (%)
127.7560927852 1
< 0.1%
127.7534788977 1
< 0.1%
127.6649462892 1
< 0.1%
127.6536327132 1
< 0.1%
127.6507833872 2
< 0.1%
127.6421981049 1
< 0.1%
127.64127488 1
< 0.1%
127.6411447297 1
< 0.1%
127.6406999002 1
< 0.1%
127.6400458684 1
< 0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5329 
단란주점
 
417

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5329
92.7%
단란주점 417
 
7.3%

Length

2023-12-11T06:11:34.378059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:34.475389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5329
92.7%
단란주점 417
 
7.3%

X좌표값
Real number (ℝ)

MISSING 

Distinct406
Distinct (%)98.5%
Missing5334
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean199440.76
Minimum160857
Maximum256649.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:34.585312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160857
5-th percentile177870.72
Q1184605.77
median201054.96
Q3210790.61
95-th percentile233001.4
Maximum256649.59
Range95792.589
Interquartile range (IQR)26184.839

Descriptive statistics

Standard deviation17460.897
Coefficient of variation (CV)0.08754929
Kurtosis0.53773843
Mean199440.76
Median Absolute Deviation (MAD)11950.773
Skewness0.65893073
Sum82169593
Variance3.0488292 × 108
MonotonicityNot monotonic
2023-12-11T06:11:34.724108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206444.650362079 2
 
< 0.1%
218124.993373632 2
 
< 0.1%
184950.901558918 2
 
< 0.1%
184984.073661118 2
 
< 0.1%
211323.790224411 2
 
< 0.1%
177965.880537386 2
 
< 0.1%
206791.534296123 1
 
< 0.1%
197582.838310147 1
 
< 0.1%
256649.588044621 1
 
< 0.1%
256022.162516176 1
 
< 0.1%
Other values (396) 396
 
6.9%
(Missing) 5334
92.8%
ValueCountFrequency (%)
160856.999164101 1
< 0.1%
164446.767685534 1
< 0.1%
164548.336636526 1
< 0.1%
166800.178744144 1
< 0.1%
171170.713685735 1
< 0.1%
171181.806500845 1
< 0.1%
171202.122128062 1
< 0.1%
171307.177955933 1
< 0.1%
174100.006308041 1
< 0.1%
175320.034569812 1
< 0.1%
ValueCountFrequency (%)
256649.588044621 1
< 0.1%
256022.162516176 1
< 0.1%
255986.812089281 1
< 0.1%
255963.244065407 1
< 0.1%
255882.136530795 1
< 0.1%
248480.378101919 1
< 0.1%
243716.788901575 1
< 0.1%
243363.06277632 1
< 0.1%
243256.806793504 1
< 0.1%
242468.9906222 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct406
Distinct (%)98.5%
Missing5334
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean438535.86
Minimum386314.35
Maximum502641.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:34.845659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386314.35
5-th percentile397360.58
Q1420485.7
median437153.06
Q3459242.29
95-th percentile480419.37
Maximum502641.39
Range116327.03
Interquartile range (IQR)38756.587

Descriptive statistics

Standard deviation25657.26
Coefficient of variation (CV)0.058506641
Kurtosis-0.6161751
Mean438535.86
Median Absolute Deviation (MAD)18057.496
Skewness0.19142204
Sum1.8067677 × 108
Variance6.58295 × 108
MonotonicityNot monotonic
2023-12-11T06:11:34.975909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
411050.914541177 2
 
< 0.1%
448399.845852745 2
 
< 0.1%
423341.352360613 2
 
< 0.1%
423209.757123781 2
 
< 0.1%
437483.10557006 2
 
< 0.1%
444750.814095959 2
 
< 0.1%
476907.445167702 1
 
< 0.1%
488171.672851395 1
 
< 0.1%
421937.363865698 1
 
< 0.1%
421816.307154667 1
 
< 0.1%
Other values (396) 396
 
6.9%
(Missing) 5334
92.8%
ValueCountFrequency (%)
386314.354672991 1
< 0.1%
386331.896319319 1
< 0.1%
386389.205638032 1
< 0.1%
386402.267634178 1
< 0.1%
387028.970095656 1
< 0.1%
387317.978506761 1
< 0.1%
387449.334188514 1
< 0.1%
387486.843229286 1
< 0.1%
387850.219762217 1
< 0.1%
388057.339992701 1
< 0.1%
ValueCountFrequency (%)
502641.388212966 1
< 0.1%
502432.245077047 1
< 0.1%
495115.740345409 1
< 0.1%
494750.924030144 1
< 0.1%
494597.621216551 1
< 0.1%
489536.773238133 1
< 0.1%
489484.933017124 1
< 0.1%
488726.276677711 1
< 0.1%
488403.287995403 1
< 0.1%
488171.672851395 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
단란주점
5245 
<NA>
 
501

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 5245
91.3%
<NA> 501
 
8.7%

Length

2023-12-11T06:11:35.123683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:35.234141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 5245
91.3%
na 501
 
8.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:35.330469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:35.435262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

공장사무소종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:35.541800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:35.634084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:35.736902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:35.828597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:35.929544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:36.026089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5746
Missing (%)100.0%
Memory size50.6 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:36.142957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:36.234461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.0 KiB
<NA>
5479 
0
 
267

Length

Max length4
Median length4
Mean length3.8605987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5479
95.4%
0 267
 
4.6%

Length

2023-12-11T06:11:36.326748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:36.408992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5479
95.4%
0 267
 
4.6%

다중이용업소여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing501
Missing (%)8.7%
Memory size11.4 KiB
False
3496 
True
1749 
(Missing)
501 
ValueCountFrequency (%)
False 3496
60.8%
True 1749
30.4%
(Missing) 501
 
8.7%
2023-12-11T06:11:36.477997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모정보
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)96.9%
Missing5329
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean105.15993
Minimum23
Maximum378.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.6 KiB
2023-12-11T06:11:36.578269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile58.446
Q184.99
median103.37
Q3125.69
95-th percentile147.716
Maximum378.48
Range355.48
Interquartile range (IQR)40.7

Descriptive statistics

Standard deviation33.89036
Coefficient of variation (CV)0.32227447
Kurtosis12.413337
Mean105.15993
Median Absolute Deviation (MAD)19.83
Skewness1.9053404
Sum43851.69
Variance1148.5565
MonotonicityNot monotonic
2023-12-11T06:11:36.701380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.66 2
 
< 0.1%
148.5 2
 
< 0.1%
79.38 2
 
< 0.1%
84.99 2
 
< 0.1%
110.0 2
 
< 0.1%
109.0 2
 
< 0.1%
143.56 2
 
< 0.1%
125.69 2
 
< 0.1%
95.65 2
 
< 0.1%
111.36 2
 
< 0.1%
Other values (394) 397
 
6.9%
(Missing) 5329
92.7%
ValueCountFrequency (%)
23.0 1
< 0.1%
30.07 1
< 0.1%
34.43 1
< 0.1%
38.78 1
< 0.1%
40.17 1
< 0.1%
40.37 1
< 0.1%
42.0 1
< 0.1%
42.47 1
< 0.1%
42.75 1
< 0.1%
43.8 1
< 0.1%
ValueCountFrequency (%)
378.48 1
< 0.1%
292.64 1
< 0.1%
241.15 1
< 0.1%
229.38 1
< 0.1%
228.0 1
< 0.1%
212.1 1
< 0.1%
160.07 1
< 0.1%
149.9 1
< 0.1%
149.86 1
< 0.1%
149.83 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5746
Missing (%)100.0%
Memory size50.6 KiB

홈페이지URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5746
Missing (%)100.0%
Memory size50.6 KiB

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5746
Missing (%)100.0%
Memory size50.6 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모정보전통업소지정번호홈페이지URL전통업소음식
0가평군리버파크단란주점1998-01-23<NA>1영업<NA>031 5859688135.4812457경기도 가평군 청평면 은행나무길 19 (632-1)경기도 가평군 청평면 대성리 631-2 632-1477-81237.679976127.375274단란주점233037.621976464250.724379단란주점0000<NA>00N135.48<NA><NA><NA>
1가평군동그라미단란주점2008-11-10<NA>1영업<NA>031 584 545271.6112437경기도 가평군 조종면 조종희망로5번길 12-4, 2층경기도 가평군 조종면 현리 264-66 외 1필지 (264-67), 2층1243737.819111127.349544단란주점230695.711229479676.468931단란주점0000<NA>00Y71.61<NA><NA><NA>
2가평군호반에 도시2023-06-23<NA>1영업<NA><NA>67.4512453경기도 가평군 청평면 청평중앙로 30, 지하1층경기도 가평군 청평면 청평리 434-59 지하1층477-81337.736816127.418205단란주점236790.455465470564.749244단란주점0000<NA>00Y67.45<NA><NA><NA>
3가평군술마시는에이스노래장19990406<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 54, 지하층경기도 가평군 가평읍 대곡리 167-2번지 외 2필지, 지하47780437.824731127.515817<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA>
4가평군럭셔리궁 단란주점20081110<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 조종희망로5번길 12 (외 1필지)경기도 가평군 조종면 현리 264-66번지 외 1필지1243737.819147127.349442<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5가평군호텔미주단란주점19991018<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 경춘로 2035경기도 가평군 가평읍 하색리 297-1번지47780637.814304127.500091<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
6가평군은하수엘토와테너20150811<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 연인2길 지하 1-1경기도 가평군 가평읍 읍내리 468-19번지 , 지하47770537.830167127.513318<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA>
7가평군월드컵19941006<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 조종희망로 36경기도 가평군 조종면 현리 261-14번지1243737.819762127.350725<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
8가평군그린단란주점19950413<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 청평중앙로 16경기도 가평군 청평면 청평리 435-2번지47781337.73613127.416775<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
9가평군리버파크단란주점19980123<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 은행나무길 19 (632-1)경기도 가평군 청평면 대성리 631-2번지 632-147781237.679976127.375274<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모정보전통업소지정번호홈페이지URL전통업소음식
5736화성시바다이야기20050811<NA><NA>폐업 등20080508<NA><NA><NA>경기도 화성시 서신면 제부로 224경기도 화성시 서신면 송교리 377-4번지44588337.173674126.656342<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5737화성시맘모스단란주점20030716<NA><NA>폐업 등20040209<NA><NA><NA>경기도 화성시 남양읍 남양시장로55번길 38경기도 화성시 남양읍 남양리 1265-36번지44585137.21016126.818526<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5738화성시키스단란주점19950831<NA><NA>폐업 등20160510<NA><NA><NA>경기도 화성시 남양읍 남양시장로 67-6 (남양동)경기도 화성시 남양읍 남양리 1245번지44585137.209574126.816852<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5739화성시헤라 BAR20100607<NA><NA>폐업 등20131031<NA><NA><NA>경기도 화성시 효행로 1056 (병점동)경기도 화성시 병점동 844-2번지 탑프라자44536037.214213127.042874<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5740화성시퀸 단란주점20100804<NA><NA>폐업 등20140414<NA><NA><NA>경기도 화성시 동탄중심상가2길 11 (반송동,(삼성파크뷰 401호))경기도 화성시 반송동 88-9번지 (삼성파크뷰 401호)44516037.205772127.073273<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5741화성시세븐단란주점20111201<NA><NA>폐업 등20151207<NA><NA><NA>경기도 화성시 향남읍 행정중앙2로 63-18, 3층 304호 (크리스탈 빌딩)경기도 화성시 향남읍 행정리 486-5번지 크리스탈 빌딩 3층 304호44592637.130344126.922557<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5742화성시팡팡단란주점19950725<NA><NA>폐업 등20130220<NA><NA><NA>경기도 화성시 팔탄면 온천로 296경기도 화성시 팔탄면 덕천리 175번지44591937.145043126.872304<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5743화성시비너스20110817<NA><NA>폐업 등20121113<NA><NA><NA>경기도 화성시 효행로 1069, 203호 (진안동,우성메디피아)경기도 화성시 진안동 914-6번지 우성메디피아 203호44539037.215244127.043657<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5744화성시보르도20100719<NA><NA>폐업 등20120705<NA><NA><NA>경기도 화성시 동탄중심상가2길 16 (반송동)경기도 화성시 반송동 91-6번지 그린프라자44516037.205277127.073366<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5745화성시블루단란주점20090820<NA><NA>폐업 등20101011<NA><NA><NA>경기도 화성시 효행로 1059경기도 화성시 진안동 914-2번지 (미래프라자207-1호)44539037.214744127.042645<NA><NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>