Overview

Dataset statistics

Number of variables42
Number of observations1584
Missing cells14802
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory561.6 KiB
Average record size in memory363.1 B

Variable types

Categorical14
Text6
DateTime2
Unsupported5
Numeric13
Boolean2

Dataset

Description경기도_숙박업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=3AZBO63FJ264173Y15JR648525&infSeq=1

Alerts

발한실여부 has constant value ""Constant
영업상태명 is highly imbalanced (51.9%)Imbalance
사용시작지하층 is highly imbalanced (52.8%)Imbalance
조건부허가시작일자 is highly imbalanced (99.0%)Imbalance
조건부허가종료일자 is highly imbalanced (99.0%)Imbalance
여성종사자수 is highly imbalanced (63.1%)Imbalance
남성종사자수 is highly imbalanced (62.1%)Imbalance
다중이용업소여부 is highly imbalanced (93.1%)Imbalance
관리번호 has 287 (18.1%) missing valuesMissing
인허가취소일자 has 1584 (100.0%) missing valuesMissing
폐업일자 has 1507 (95.1%) missing valuesMissing
휴업시작일자 has 1584 (100.0%) missing valuesMissing
휴업종료일자 has 1584 (100.0%) missing valuesMissing
재개업일자 has 1584 (100.0%) missing valuesMissing
소재지시설전화번호 has 590 (37.2%) missing valuesMissing
소재지면적(㎡) has 289 (18.2%) missing valuesMissing
소재지도로명주소 has 135 (8.5%) missing valuesMissing
소재지우편번호 has 22 (1.4%) missing valuesMissing
WGS84위도 has 47 (3.0%) missing valuesMissing
WGS84경도 has 47 (3.0%) missing valuesMissing
X좌표값 has 317 (20.0%) missing valuesMissing
Y좌표값 has 317 (20.0%) missing valuesMissing
건물지상층수 has 287 (18.1%) missing valuesMissing
건물지하층수 has 287 (18.1%) missing valuesMissing
사용시작지상층 has 288 (18.2%) missing valuesMissing
사용끝지상층 has 288 (18.2%) missing valuesMissing
사용끝지하층 has 301 (19.0%) missing valuesMissing
발한실여부 has 287 (18.1%) missing valuesMissing
의자수 has 1584 (100.0%) missing valuesMissing
조건부허가신고사유 has 1582 (99.9%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적(㎡) has 52 (3.3%) zerosZeros
건물지상층수 has 540 (34.1%) zerosZeros
건물지하층수 has 907 (57.3%) zerosZeros
사용시작지상층 has 525 (33.1%) zerosZeros
사용끝지상층 has 509 (32.1%) zerosZeros
사용끝지하층 has 1214 (76.6%) zerosZeros
한실수(개) has 1089 (68.8%) zerosZeros
양실수(개) has 176 (11.1%) zerosZeros

Reproduction

Analysis started2023-12-10 22:47:09.704070
Analysis finished2023-12-10 22:47:10.953589
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
가평군
286 
수원시
276 
양주시
134 
부천시
123 
안산시
98 
Other values (26)
667 

Length

Max length4
Median length3
Mean length3.0448232
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 286
18.1%
수원시 276
17.4%
양주시 134
 
8.5%
부천시 123
 
7.8%
안산시 98
 
6.2%
화성시 64
 
4.0%
양평군 61
 
3.9%
평택시 57
 
3.6%
성남시 50
 
3.2%
파주시 38
 
2.4%
Other values (21) 397
25.1%

Length

2023-12-11T07:47:11.033416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 286
18.1%
수원시 276
17.4%
양주시 134
 
8.5%
부천시 123
 
7.8%
안산시 98
 
6.2%
화성시 64
 
4.0%
양평군 61
 
3.9%
평택시 57
 
3.6%
성남시 50
 
3.2%
파주시 38
 
2.4%
Other values (21) 397
25.1%

관리번호
Text

MISSING 

Distinct1297
Distinct (%)100.0%
Missing287
Missing (%)18.1%
Memory size12.5 KiB
2023-12-11T07:47:11.249812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters28534
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

Unique1297 ?
Unique (%)100.0%

Sample

1st row4160000-214-2023-00024
2nd row4160000-201-2010-00003
3rd row4160000-214-2020-00018
4th row4160000-214-2020-00038
5th row4160000-214-2023-00010
ValueCountFrequency (%)
4160000-214-2023-00029 1
 
0.1%
5590000-201-1999-00013 1
 
0.1%
5590000-201-2002-00002 1
 
0.1%
5590000-201-1999-00020 1
 
0.1%
5590000-201-1990-00001 1
 
0.1%
5590000-201-2002-00010 1
 
0.1%
5590000-201-1999-00024 1
 
0.1%
5590000-201-1998-00008 1
 
0.1%
5590000-214-2014-00002 1
 
0.1%
5590000-201-1995-00005 1
 
0.1%
Other values (1287) 1287
99.2%
2023-12-11T07:47:11.596959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12282
43.0%
- 3891
 
13.6%
1 2996
 
10.5%
2 2920
 
10.2%
9 1329
 
4.7%
3 1303
 
4.6%
4 1029
 
3.6%
7 781
 
2.7%
5 747
 
2.6%
6 631
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24643
86.4%
Dash Punctuation 3891
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12282
49.8%
1 2996
 
12.2%
2 2920
 
11.8%
9 1329
 
5.4%
3 1303
 
5.3%
4 1029
 
4.2%
7 781
 
3.2%
5 747
 
3.0%
6 631
 
2.6%
8 625
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 3891
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12282
43.0%
- 3891
 
13.6%
1 2996
 
10.5%
2 2920
 
10.2%
9 1329
 
4.7%
3 1303
 
4.6%
4 1029
 
3.6%
7 781
 
2.7%
5 747
 
2.6%
6 631
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12282
43.0%
- 3891
 
13.6%
1 2996
 
10.5%
2 2920
 
10.2%
9 1329
 
4.7%
3 1303
 
4.6%
4 1029
 
3.6%
7 781
 
2.7%
5 747
 
2.6%
6 631
 
2.2%

인허가일자
Date

Distinct1280
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
Minimum1966-09-13 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T07:47:11.753090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:47:11.934760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

Distinct1479
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-11T07:47:12.252804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length6.0542929
Min length1

Characters and Unicode

Total characters9590
Distinct characters583
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

Unique1387 ?
Unique (%)87.6%

Sample

1st row파인피노/103동
2nd row가평호텔
3rd row하루키즈풀발라
4th row해피키즈풀빌라E동
5th row해피키즈풀빌라102호
ValueCountFrequency (%)
호텔 30
 
1.6%
모텔 14
 
0.8%
hotel 13
 
0.7%
펜션 10
 
0.5%
스테이 9
 
0.5%
주)레드존리조트 6
 
0.3%
하늘궁 6
 
0.3%
주식회사 6
 
0.3%
필모텔 5
 
0.3%
레지던스 4
 
0.2%
Other values (1610) 1763
94.5%
2023-12-11T07:47:12.701504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 601
 
6.3%
호 332
 
3.5%
스 308
 
3.2%
282
 
2.9%
이 272
 
2.8%
모 266
 
2.8%
여 220
 
2.3%
리 180
 
1.9%
관 151
 
1.6%
션 150
 
1.6%
Other values (573) 6828
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8069
84.1%
Uppercase Letter 501
 
5.2%
Space Separator 282
 
2.9%
Lowercase Letter 228
 
2.4%
Decimal Number 168
 
1.8%
Close Punctuation 140
 
1.5%
Open Punctuation 140
 
1.5%
Dash Punctuation 30
 
0.3%
Other Punctuation 28
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 601
 
7.4%
호 332
 
4.1%
스 308
 
3.8%
이 272
 
3.4%
모 266
 
3.3%
여 220
 
2.7%
리 180
 
2.2%
관 151
 
1.9%
션 150
 
1.9%
펜 143
 
1.8%
Other values (504) 5446
67.5%
Uppercase Letter
ValueCountFrequency (%)
H 43
 
8.6%
E 41
 
8.2%
O 41
 
8.2%
A 39
 
7.8%
T 36
 
7.2%
L 33
 
6.6%
S 27
 
5.4%
N 24
 
4.8%
J 21
 
4.2%
M 20
 
4.0%
Other values (16) 176
35.1%
Lowercase Letter
ValueCountFrequency (%)
e 36
15.8%
o 25
11.0%
t 24
10.5%
l 20
8.8%
a 19
8.3%
i 15
 
6.6%
s 14
 
6.1%
n 13
 
5.7%
r 11
 
4.8%
u 10
 
4.4%
Other values (12) 41
18.0%
Decimal Number
ValueCountFrequency (%)
2 44
26.2%
1 35
20.8%
5 20
11.9%
3 19
11.3%
7 14
 
8.3%
0 13
 
7.7%
4 7
 
4.2%
9 7
 
4.2%
6 5
 
3.0%
8 4
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 16
57.1%
& 8
28.6%
/ 2
 
7.1%
, 1
 
3.6%
' 1
 
3.6%
Space Separator
ValueCountFrequency (%)
282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8066
84.1%
Common 791
 
8.2%
Latin 730
 
7.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 601
 
7.5%
호 332
 
4.1%
스 308
 
3.8%
이 272
 
3.4%
모 266
 
3.3%
여 220
 
2.7%
리 180
 
2.2%
관 151
 
1.9%
션 150
 
1.9%
펜 143
 
1.8%
Other values (501) 5443
67.5%
Latin
ValueCountFrequency (%)
H 43
 
5.9%
E 41
 
5.6%
O 41
 
5.6%
A 39
 
5.3%
T 36
 
4.9%
e 36
 
4.9%
L 33
 
4.5%
S 27
 
3.7%
o 25
 
3.4%
N 24
 
3.3%
Other values (39) 385
52.7%
Common
ValueCountFrequency (%)
282
35.7%
) 140
17.7%
( 140
17.7%
2 44
 
5.6%
1 35
 
4.4%
- 30
 
3.8%
5 20
 
2.5%
3 19
 
2.4%
. 16
 
2.0%
7 14
 
1.8%
Other values (10) 51
 
6.4%
Han
ValueCountFrequency (%)
情 1
33.3%
夢 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8065
84.1%
ASCII 1520
 
15.8%
CJK 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 601
 
7.5%
호 332
 
4.1%
스 308
 
3.8%
이 272
 
3.4%
모 266
 
3.3%
여 220
 
2.7%
리 180
 
2.2%
관 151
 
1.9%
션 150
 
1.9%
펜 143
 
1.8%
Other values (500) 5442
67.5%
ASCII
ValueCountFrequency (%)
282
18.6%
) 140
 
9.2%
( 140
 
9.2%
2 44
 
2.9%
H 43
 
2.8%
E 41
 
2.7%
O 41
 
2.7%
A 39
 
2.6%
T 36
 
2.4%
e 36
 
2.4%
Other values (58) 678
44.6%
CJK
ValueCountFrequency (%)
情 1
33.3%
夢 1
33.3%
家 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1584
Missing (%)100.0%
Memory size14.1 KiB

통합영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
영업/정상
1241 
<NA>
287 
폐업
 
56

Length

Max length5
Median length5
Mean length4.7127525
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 1241
78.3%
<NA> 287
 
18.1%
폐업 56
 
3.5%

Length

2023-12-11T07:47:12.870778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:13.009724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1241
78.3%
na 287
 
18.1%
폐업 56
 
3.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
영업
1241 
운영중
266 
폐업
 
56
폐업 등
 
21

Length

Max length4
Median length2
Mean length2.1944444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 1241
78.3%
운영중 266
 
16.8%
폐업 56
 
3.5%
폐업 등 21
 
1.3%

Length

2023-12-11T07:47:13.162234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:13.350895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 1241
77.3%
운영중 266
 
16.6%
폐업 77
 
4.8%
등 21
 
1.3%

폐업일자
Date

MISSING 

Distinct67
Distinct (%)87.0%
Missing1507
Missing (%)95.1%
Memory size12.5 KiB
Minimum2013-05-30 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:47:13.760707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:47:13.923476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1584
Missing (%)100.0%
Memory size14.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1584
Missing (%)100.0%
Memory size14.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1584
Missing (%)100.0%
Memory size14.1 KiB

소재지시설전화번호
Text

MISSING 

Distinct980
Distinct (%)98.6%
Missing590
Missing (%)37.2%
Memory size12.5 KiB
2023-12-11T07:47:14.318007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.05332
Min length7

Characters and Unicode

Total characters10987
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

Unique967 ?
Unique (%)97.3%

Sample

1st row031 589 5000
2nd row031 589 5000
3rd row031 585 2216
4th row031 5859700
5th row07088089514
ValueCountFrequency (%)
031 803
36.3%
032 60
 
2.7%
02 11
 
0.5%
664 7
 
0.3%
070 6
 
0.3%
871 6
 
0.3%
585 5
 
0.2%
949 5
 
0.2%
633 4
 
0.2%
945 4
 
0.2%
Other values (1175) 1299
58.8%
2023-12-11T07:47:14.835368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1608
14.6%
0 1606
14.6%
1 1440
13.1%
1242
11.3%
2 868
7.9%
5 865
7.9%
4 735
6.7%
6 708
6.4%
8 700
6.4%
7 684
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9745
88.7%
Space Separator 1242
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1608
16.5%
0 1606
16.5%
1 1440
14.8%
2 868
8.9%
5 865
8.9%
4 735
7.5%
6 708
7.3%
8 700
7.2%
7 684
7.0%
9 531
 
5.4%
Space Separator
ValueCountFrequency (%)
1242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10987
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1608
14.6%
0 1606
14.6%
1 1440
13.1%
1242
11.3%
2 868
7.9%
5 865
7.9%
4 735
6.7%
6 708
6.4%
8 700
6.4%
7 684
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10987
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1608
14.6%
0 1606
14.6%
1 1440
13.1%
1242
11.3%
2 868
7.9%
5 865
7.9%
4 735
6.7%
6 708
6.4%
8 700
6.4%
7 684
6.2%

소재지면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct1206
Distinct (%)93.1%
Missing289
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1184.4724
Minimum0
Maximum90123.75
Zeros52
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:15.035517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.82
Q1267.625
median608.16
Q31132.595
95-th percentile3316.734
Maximum90123.75
Range90123.75
Interquartile range (IQR)864.97

Descriptive statistics

Standard deviation3390.0458
Coefficient of variation (CV)2.8620724
Kurtosis381.26767
Mean1184.4724
Median Absolute Deviation (MAD)389.61
Skewness16.32963
Sum1533891.8
Variance11492410
MonotonicityNot monotonic
2023-12-11T07:47:15.195351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 52
 
3.3%
80.0 5
 
0.3%
72.0 4
 
0.3%
443.0 3
 
0.2%
771.52 2
 
0.1%
354.58 2
 
0.1%
444.0 2
 
0.1%
495.0 2
 
0.1%
645.75 2
 
0.1%
380.0 2
 
0.1%
Other values (1196) 1219
77.0%
(Missing) 289
 
18.2%
ValueCountFrequency (%)
0.0 52
3.3%
32.0 1
 
0.1%
33.43 1
 
0.1%
35.18 1
 
0.1%
35.23 1
 
0.1%
36.18 1
 
0.1%
37.0 1
 
0.1%
38.6 1
 
0.1%
38.7 1
 
0.1%
39.6 1
 
0.1%
ValueCountFrequency (%)
90123.75 1
0.1%
34581.52 1
0.1%
26711.04 1
0.1%
26371.18 1
0.1%
22016.0 1
0.1%
19879.0 1
0.1%
18430.91 1
0.1%
16785.76 1
0.1%
15744.18 1
0.1%
15515.26 1
0.1%

소재지도로명주소
Text

MISSING 

Distinct1339
Distinct (%)92.4%
Missing135
Missing (%)8.5%
Memory size12.5 KiB
2023-12-11T07:47:15.459256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.891649
Min length13

Characters and Unicode

Total characters30272
Distinct characters284
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1252 ?
Unique (%)86.4%

Sample

1st row경기도 가평군 설악면 엄소속골길 85-35
2nd row경기도 가평군 가평읍 석봉로3번길 14
3rd row경기도 가평군 조종면 현등사길 55-209
4th row경기도 가평군 가평읍 호반로 2126-8
5th row경기도 가평군 가평읍 호반로 2130
ValueCountFrequency (%)
경기도 1449
 
21.0%
수원시 271
 
3.9%
가평군 251
 
3.6%
팔달구 206
 
3.0%
부천시 115
 
1.7%
양주시 115
 
1.7%
안산시 95
 
1.4%
장흥면 68
 
1.0%
북면 61
 
0.9%
단원구 61
 
0.9%
Other values (1615) 4192
60.9%
2023-12-11T07:47:15.994780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5435
 
18.0%
경 1482
 
4.9%
기 1472
 
4.9%
도 1460
 
4.8%
1 1257
 
4.2%
로 1230
 
4.1%
시 1171
 
3.9%
길 879
 
2.9%
2 811
 
2.7%
3 675
 
2.2%
Other values (274) 14400
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18297
60.4%
Decimal Number 5964
 
19.7%
Space Separator 5435
 
18.0%
Dash Punctuation 576
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1482
 
8.1%
기 1472
 
8.0%
도 1460
 
8.0%
로 1230
 
6.7%
시 1171
 
6.4%
길 879
 
4.8%
번 646
 
3.5%
구 514
 
2.8%
평 506
 
2.8%
원 439
 
2.4%
Other values (262) 8498
46.4%
Decimal Number
ValueCountFrequency (%)
1 1257
21.1%
2 811
13.6%
3 675
11.3%
4 560
9.4%
5 525
8.8%
6 496
 
8.3%
7 465
 
7.8%
9 425
 
7.1%
0 401
 
6.7%
8 349
 
5.9%
Space Separator
ValueCountFrequency (%)
5435
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18297
60.4%
Common 11975
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1482
 
8.1%
기 1472
 
8.0%
도 1460
 
8.0%
로 1230
 
6.7%
시 1171
 
6.4%
길 879
 
4.8%
번 646
 
3.5%
구 514
 
2.8%
평 506
 
2.8%
원 439
 
2.4%
Other values (262) 8498
46.4%
Common
ValueCountFrequency (%)
5435
45.4%
1 1257
 
10.5%
2 811
 
6.8%
3 675
 
5.6%
- 576
 
4.8%
4 560
 
4.7%
5 525
 
4.4%
6 496
 
4.1%
7 465
 
3.9%
9 425
 
3.5%
Other values (2) 750
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18297
60.4%
ASCII 11975
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5435
45.4%
1 1257
 
10.5%
2 811
 
6.8%
3 675
 
5.6%
- 576
 
4.8%
4 560
 
4.7%
5 525
 
4.4%
6 496
 
4.1%
7 465
 
3.9%
9 425
 
3.5%
Other values (2) 750
 
6.3%
Hangul
ValueCountFrequency (%)
경 1482
 
8.1%
기 1472
 
8.0%
도 1460
 
8.0%
로 1230
 
6.7%
시 1171
 
6.4%
길 879
 
4.8%
번 646
 
3.5%
구 514
 
2.8%
평 506
 
2.8%
원 439
 
2.4%
Other values (262) 8498
46.4%

소재지지번주소
Text

Distinct1555
Distinct (%)98.4%
Missing3
Missing (%)0.2%
Memory size12.5 KiB
2023-12-11T07:47:16.346909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length66
Mean length24.718533
Min length15

Characters and Unicode

Total characters39080
Distinct characters345
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

Unique1531 ?
Unique (%)96.8%

Sample

1st row경기도 가평군 설악면 엄소리 456-16
2nd row경기도 가평군 가평읍 대곡리 411-3
3rd row경기도 가평군 조종면 운악리 417-10
4th row경기도 가평군 가평읍 이화리 107-25 1~2층
5th row경기도 가평군 가평읍 이화리 107-17 1층~2층
ValueCountFrequency (%)
경기도 1581
 
18.9%
가평군 286
 
3.4%
수원시 276
 
3.3%
팔달구 208
 
2.5%
양주시 134
 
1.6%
부천시 123
 
1.5%
안산시 98
 
1.2%
장흥면 76
 
0.9%
북면 71
 
0.8%
가평읍 65
 
0.8%
Other values (2451) 5442
65.1%
2023-12-11T07:47:16.925911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8062
20.6%
1 1745
 
4.5%
기 1616
 
4.1%
도 1603
 
4.1%
경 1589
 
4.1%
- 1502
 
3.8%
시 1234
 
3.2%
2 1227
 
3.1%
동 1103
 
2.8%
3 1015
 
2.6%
Other values (335) 18384
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20305
52.0%
Decimal Number 8219
21.0%
Space Separator 8062
 
20.6%
Dash Punctuation 1502
 
3.8%
Other Punctuation 411
 
1.1%
Math Symbol 174
 
0.4%
Open Punctuation 139
 
0.4%
Close Punctuation 138
 
0.4%
Uppercase Letter 114
 
0.3%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1616
 
8.0%
도 1603
 
7.9%
경 1589
 
7.8%
시 1234
 
6.1%
동 1103
 
5.4%
리 716
 
3.5%
구 551
 
2.7%
평 545
 
2.7%
면 506
 
2.5%
가 495
 
2.4%
Other values (283) 10347
51.0%
Uppercase Letter
ValueCountFrequency (%)
A 29
25.4%
B 28
24.6%
C 13
11.4%
E 9
 
7.9%
T 6
 
5.3%
O 5
 
4.4%
D 4
 
3.5%
H 4
 
3.5%
L 2
 
1.8%
Y 2
 
1.8%
Other values (8) 12
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
14.3%
n 2
14.3%
t 2
14.3%
a 1
7.1%
i 1
7.1%
h 1
7.1%
r 1
7.1%
v 1
7.1%
m 1
7.1%
u 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 1745
21.2%
2 1227
14.9%
3 1015
12.3%
4 823
10.0%
5 715
8.7%
7 625
 
7.6%
6 568
 
6.9%
0 565
 
6.9%
8 488
 
5.9%
9 448
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 406
98.8%
. 3
 
0.7%
/ 1
 
0.2%
: 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 170
97.7%
> 2
 
1.1%
< 2
 
1.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
8062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1502
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20305
52.0%
Common 18645
47.7%
Latin 130
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1616
 
8.0%
도 1603
 
7.9%
경 1589
 
7.8%
시 1234
 
6.1%
동 1103
 
5.4%
리 716
 
3.5%
구 551
 
2.7%
평 545
 
2.7%
면 506
 
2.5%
가 495
 
2.4%
Other values (283) 10347
51.0%
Latin
ValueCountFrequency (%)
A 29
22.3%
B 28
21.5%
C 13
10.0%
E 9
 
6.9%
T 6
 
4.6%
O 5
 
3.8%
D 4
 
3.1%
H 4
 
3.1%
L 2
 
1.5%
Y 2
 
1.5%
Other values (21) 28
21.5%
Common
ValueCountFrequency (%)
8062
43.2%
1 1745
 
9.4%
- 1502
 
8.1%
2 1227
 
6.6%
3 1015
 
5.4%
4 823
 
4.4%
5 715
 
3.8%
7 625
 
3.4%
6 568
 
3.0%
0 565
 
3.0%
Other values (11) 1798
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20305
52.0%
ASCII 18773
48.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8062
42.9%
1 1745
 
9.3%
- 1502
 
8.0%
2 1227
 
6.5%
3 1015
 
5.4%
4 823
 
4.4%
5 715
 
3.8%
7 625
 
3.3%
6 568
 
3.0%
0 565
 
3.0%
Other values (40) 1926
 
10.3%
Hangul
ValueCountFrequency (%)
기 1616
 
8.0%
도 1603
 
7.9%
경 1589
 
7.8%
시 1234
 
6.1%
동 1103
 
5.4%
리 716
 
3.5%
구 551
 
2.7%
평 545
 
2.7%
면 506
 
2.5%
가 495
 
2.4%
Other values (283) 10347
51.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct543
Distinct (%)34.8%
Missing22
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean14118.52
Minimum10002
Maximum18635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:17.122608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10002
5-th percentile10909.05
Q112405
median13591
Q316455
95-th percentile18138
Maximum18635
Range8633
Interquartile range (IQR)4050

Descriptive statistics

Standard deviation2397.3334
Coefficient of variation (CV)0.16980061
Kurtosis-1.2535332
Mean14118.52
Median Absolute Deviation (MAD)2070
Skewness0.23755132
Sum22053129
Variance5747207.6
MonotonicityNot monotonic
2023-12-11T07:47:17.304961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16455 47
 
3.0%
11519 46
 
2.9%
18553 34
 
2.1%
12406 33
 
2.1%
16456 29
 
1.8%
12428 27
 
1.7%
16269 23
 
1.5%
12457 21
 
1.3%
14643 20
 
1.3%
12448 19
 
1.2%
Other values (533) 1263
79.7%
(Missing) 22
 
1.4%
ValueCountFrequency (%)
10002 1
 
0.1%
10018 2
0.1%
10019 1
 
0.1%
10023 1
 
0.1%
10029 2
0.1%
10041 1
 
0.1%
10042 3
0.2%
10059 2
0.1%
10071 3
0.2%
10090 3
0.2%
ValueCountFrequency (%)
18635 2
 
0.1%
18623 4
 
0.3%
18606 1
 
0.1%
18593 1
 
0.1%
18577 3
 
0.2%
18567 1
 
0.1%
18561 1
 
0.1%
18555 1
 
0.1%
18553 34
2.1%
18537 1
 
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct1422
Distinct (%)92.5%
Missing47
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean37.499169
Minimum36.948264
Maximum38.214323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:17.447351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.948264
5-th percentile37.101051
Q137.270937
median37.484343
Q337.742119
95-th percentile37.903532
Maximum38.214323
Range1.266059
Interquartile range (IQR)0.47118283

Descriptive statistics

Standard deviation0.26196888
Coefficient of variation (CV)0.0069859916
Kurtosis-1.0394869
Mean37.499169
Median Absolute Deviation (MAD)0.21592864
Skewness0.16390367
Sum57636.223
Variance0.068627694
MonotonicityNot monotonic
2023-12-11T07:47:17.599420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7605960653 15
 
0.9%
37.327693903 5
 
0.3%
37.59769209 4
 
0.3%
37.9022315708 3
 
0.2%
37.5405143136 3
 
0.2%
37.270441187 3
 
0.2%
38.073105697 2
 
0.1%
37.8500409766 2
 
0.1%
38.2143232954 2
 
0.1%
37.7740189644 2
 
0.1%
Other values (1412) 1496
94.4%
(Missing) 47
 
3.0%
ValueCountFrequency (%)
36.9482642796 1
0.1%
36.9597770303 1
0.1%
36.9604064309 1
0.1%
36.9755876351 2
0.1%
36.9767596249 2
0.1%
36.9847648106 1
0.1%
36.9878740943 1
0.1%
36.9905874186 1
0.1%
36.9907758614 1
0.1%
36.990866277 1
0.1%
ValueCountFrequency (%)
38.2143232954 2
0.1%
38.1310393566 2
0.1%
38.100591593 1
0.1%
38.0904878965 1
0.1%
38.087579877 1
0.1%
38.0772268577 1
0.1%
38.0762021356 1
0.1%
38.0735035078 1
0.1%
38.073105697 2
0.1%
38.0631523963 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct1422
Distinct (%)92.5%
Missing47
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean127.08521
Minimum126.54489
Maximum127.74192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:17.772232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54489
5-th percentile126.72307
Q1126.91035
median127.02904
Q3127.3204
95-th percentile127.54165
Maximum127.74192
Range1.1970303
Interquartile range (IQR)0.41005295

Descriptive statistics

Standard deviation0.26588336
Coefficient of variation (CV)0.002092166
Kurtosis-0.64596538
Mean127.08521
Median Absolute Deviation (MAD)0.17841195
Skewness0.43141278
Sum195329.97
Variance0.07069396
MonotonicityNot monotonic
2023-12-11T07:47:17.938142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5416884669 15
 
0.9%
126.8018777724 5
 
0.3%
127.1386630585 4
 
0.3%
127.4669221615 3
 
0.2%
127.2159800925 3
 
0.2%
127.0023475019 3
 
0.2%
127.0070138012 2
 
0.1%
127.3468557062 2
 
0.1%
127.1524407444 2
 
0.1%
127.3573571482 2
 
0.1%
Other values (1412) 1496
94.4%
(Missing) 47
 
3.0%
ValueCountFrequency (%)
126.5448915367 1
0.1%
126.5522797507 1
0.1%
126.5534578204 1
0.1%
126.5602792108 1
0.1%
126.5605705717 1
0.1%
126.5616280945 1
0.1%
126.5654924959 1
0.1%
126.5679600736 1
0.1%
126.5877412713 1
0.1%
126.5882483286 1
0.1%
ValueCountFrequency (%)
127.7419218802 1
0.1%
127.7399741906 1
0.1%
127.7350109442 1
0.1%
127.7288275602 1
0.1%
127.7220776151 1
0.1%
127.7156041975 1
0.1%
127.715118932 1
0.1%
127.714965667 1
0.1%
127.7140949375 1
0.1%
127.7136927557 1
0.1%

업태구분명정보
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
여관업
702 
<NA>
287 
숙박업(생활)
276 
일반호텔
129 
여인숙업
96 
Other values (3)
94 

Length

Max length8
Median length7
Mean length4.1426768
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(생활)
2nd row일반호텔
3rd row숙박업(생활)
4th row숙박업(생활)
5th row숙박업(생활)

Common Values

ValueCountFrequency (%)
여관업 702
44.3%
<NA> 287
18.1%
숙박업(생활) 276
 
17.4%
일반호텔 129
 
8.1%
여인숙업 96
 
6.1%
숙박업 기타 46
 
2.9%
관광호텔 46
 
2.9%
휴양콘도미니엄업 2
 
0.1%

Length

2023-12-11T07:47:18.112851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:18.242601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 702
43.1%
na 287
17.6%
숙박업(생활 276
 
16.9%
일반호텔 129
 
7.9%
여인숙업 96
 
5.9%
숙박업 46
 
2.8%
기타 46
 
2.8%
관광호텔 46
 
2.8%
휴양콘도미니엄업 2
 
0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct1226
Distinct (%)96.8%
Missing317
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean205183.19
Minimum159758.45
Maximum265622.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:18.459444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159758.45
5-th percentile176936.77
Q1187803.43
median201311.7
Q3213531.27
95-th percentile247248.26
Maximum265622.27
Range105863.81
Interquartile range (IQR)25727.835

Descriptive statistics

Standard deviation22177.002
Coefficient of variation (CV)0.10808391
Kurtosis-0.21446636
Mean205183.19
Median Absolute Deviation (MAD)12770.498
Skewness0.63586479
Sum2.5996711 × 108
Variance4.9181941 × 108
MonotonicityNot monotonic
2023-12-11T07:47:18.604949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182385.076090031 5
 
0.3%
212168.294894553 4
 
0.3%
181469.047431628 2
 
0.1%
247788.484423459 2
 
0.1%
171181.806500845 2
 
0.1%
212014.916348852 2
 
0.1%
200125.342814781 2
 
0.1%
185932.15 2
 
0.1%
183207.188214703 2
 
0.1%
197439.109308655 2
 
0.1%
Other values (1216) 1242
78.4%
(Missing) 317
 
20.0%
ValueCountFrequency (%)
159758.451902343 1
0.1%
160378.976614252 1
0.1%
160519.770029162 1
0.1%
160962.878719362 1
0.1%
161101.965185962 1
0.1%
161641.105507462 1
0.1%
161826.116264589 1
0.1%
163577.954106815 1
0.1%
163614.487258893 1
0.1%
164465.939289318 1
0.1%
ValueCountFrequency (%)
265622.265028692 1
0.1%
264532.546815963 1
0.1%
263760.578533398 1
0.1%
263244.361560467 1
0.1%
263169.54557589 1
0.1%
263107.140671064 1
0.1%
263106.711754691 1
0.1%
263104.400106958 1
0.1%
262429.707875981 1
0.1%
262032.454588643 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct1226
Distinct (%)96.8%
Missing317
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean442045.44
Minimum384245.97
Maximum523135.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:18.736785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384245.97
5-th percentile398181.61
Q1418749.03
median437908.39
Q3468764.44
95-th percentile488411.37
Maximum523135.89
Range138889.92
Interquartile range (IQR)50015.416

Descriptive statistics

Standard deviation28234.327
Coefficient of variation (CV)0.063872002
Kurtosis-0.95800212
Mean442045.44
Median Absolute Deviation (MAD)19902.682
Skewness0.24595711
Sum5.6007157 × 108
Variance7.9717723 × 108
MonotonicityNot monotonic
2023-12-11T07:47:18.899891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
425116.883271201 5
 
0.3%
455048.333197269 4
 
0.3%
425794.3890198 2
 
0.1%
467300.761426132 2
 
0.1%
424841.973402876 2
 
0.1%
502239.641326419 2
 
0.1%
394801.360496353 2
 
0.1%
386010.0 2
 
0.1%
425983.952471214 2
 
0.1%
466445.59930328 2
 
0.1%
Other values (1216) 1242
78.4%
(Missing) 317
 
20.0%
ValueCountFrequency (%)
384245.97410751 1
0.1%
384315.166227508 1
0.1%
386010.0 2
0.1%
386133.704987091 2
0.1%
387072.109718212 1
0.1%
387364.732594515 1
0.1%
387668.574504632 1
0.1%
387688.593073459 1
0.1%
387697.537047715 1
0.1%
387821.935447642 1
0.1%
ValueCountFrequency (%)
523135.892555801 1
0.1%
514243.337570562 1
0.1%
510857.149051182 1
0.1%
509772.822018376 1
0.1%
507894.226219482 1
0.1%
507819.559193008 1
0.1%
506546.694872377 1
0.1%
503550.147517437 1
0.1%
503180.455480731 1
0.1%
502639.888060569 1
0.1%

위생업태명
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
여관업
702 
숙박업(생활)
563 
일반호텔
129 
여인숙업
96 
숙박업 기타
 
46
Other values (2)
 
48

Length

Max length8
Median length7
Mean length4.6862374
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(생활)
2nd row일반호텔
3rd row숙박업(생활)
4th row숙박업(생활)
5th row숙박업(생활)

Common Values

ValueCountFrequency (%)
여관업 702
44.3%
숙박업(생활) 563
35.5%
일반호텔 129
 
8.1%
여인숙업 96
 
6.1%
숙박업 기타 46
 
2.9%
관광호텔 46
 
2.9%
휴양콘도미니엄업 2
 
0.1%

Length

2023-12-11T07:47:19.034602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:19.152149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 702
43.1%
숙박업(생활 563
34.5%
일반호텔 129
 
7.9%
여인숙업 96
 
5.9%
숙박업 46
 
2.8%
기타 46
 
2.8%
관광호텔 46
 
2.8%
휴양콘도미니엄업 2
 
0.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)1.8%
Missing287
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.7031611
Minimum0
Maximum42
Zeros540
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:19.300239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile9
Maximum42
Range42
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7444112
Coefficient of variation (CV)1.3851972
Kurtosis20.331361
Mean2.7031611
Median Absolute Deviation (MAD)2
Skewness3.3204755
Sum3506
Variance14.020615
MonotonicityNot monotonic
2023-12-11T07:47:19.420369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 540
34.1%
2 152
 
9.6%
3 148
 
9.3%
5 120
 
7.6%
4 110
 
6.9%
6 54
 
3.4%
1 53
 
3.3%
7 27
 
1.7%
8 25
 
1.6%
9 19
 
1.2%
Other values (13) 49
 
3.1%
(Missing) 287
18.1%
ValueCountFrequency (%)
0 540
34.1%
1 53
 
3.3%
2 152
 
9.6%
3 148
 
9.3%
4 110
 
6.9%
5 120
 
7.6%
6 54
 
3.4%
7 27
 
1.7%
8 25
 
1.6%
9 19
 
1.2%
ValueCountFrequency (%)
42 1
 
0.1%
37 1
 
0.1%
27 2
 
0.1%
21 3
0.2%
20 4
0.3%
18 2
 
0.1%
17 3
0.2%
16 4
0.3%
15 5
0.3%
14 7
0.4%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.9%
Missing287
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.46646106
Minimum0
Maximum21
Zeros907
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:19.518950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1340653
Coefficient of variation (CV)2.4312112
Kurtosis95.470768
Mean0.46646106
Median Absolute Deviation (MAD)0
Skewness7.2456029
Sum605
Variance1.2861042
MonotonicityNot monotonic
2023-12-11T07:47:19.623082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 907
57.3%
1 311
 
19.6%
2 26
 
1.6%
3 25
 
1.6%
4 13
 
0.8%
7 4
 
0.3%
6 4
 
0.3%
5 3
 
0.2%
8 1
 
0.1%
21 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 287
 
18.1%
ValueCountFrequency (%)
0 907
57.3%
1 311
 
19.6%
2 26
 
1.6%
3 25
 
1.6%
4 13
 
0.8%
5 3
 
0.2%
6 4
 
0.3%
7 4
 
0.3%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
21 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 4
 
0.3%
6 4
 
0.3%
5 3
 
0.2%
4 13
0.8%
3 25
1.6%
2 26
1.6%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)1.0%
Missing288
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.1273148
Minimum0
Maximum21
Zeros525
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:19.740890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6241405
Coefficient of variation (CV)1.440716
Kurtosis25.116167
Mean1.1273148
Median Absolute Deviation (MAD)1
Skewness3.6778841
Sum1461
Variance2.6378325
MonotonicityNot monotonic
2023-12-11T07:47:19.847257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 525
33.1%
1 458
28.9%
2 177
 
11.2%
3 55
 
3.5%
5 24
 
1.5%
4 23
 
1.5%
7 11
 
0.7%
6 8
 
0.5%
8 6
 
0.4%
9 6
 
0.4%
Other values (3) 3
 
0.2%
(Missing) 288
18.2%
ValueCountFrequency (%)
0 525
33.1%
1 458
28.9%
2 177
 
11.2%
3 55
 
3.5%
4 23
 
1.5%
5 24
 
1.5%
6 8
 
0.5%
7 11
 
0.7%
8 6
 
0.4%
9 6
 
0.4%
ValueCountFrequency (%)
21 1
 
0.1%
14 1
 
0.1%
10 1
 
0.1%
9 6
 
0.4%
8 6
 
0.4%
7 11
 
0.7%
6 8
 
0.5%
5 24
1.5%
4 23
1.5%
3 55
3.5%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)1.9%
Missing288
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean2.8078704
Minimum0
Maximum37
Zeros509
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:19.946668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile9
Maximum37
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.676825
Coefficient of variation (CV)1.3094711
Kurtosis15.339672
Mean2.8078704
Median Absolute Deviation (MAD)2
Skewness2.8778127
Sum3639
Variance13.519042
MonotonicityNot monotonic
2023-12-11T07:47:20.070204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 509
32.1%
3 159
 
10.0%
2 157
 
9.9%
4 113
 
7.1%
5 110
 
6.9%
1 58
 
3.7%
6 49
 
3.1%
8 36
 
2.3%
7 29
 
1.8%
9 22
 
1.4%
Other values (15) 54
 
3.4%
(Missing) 288
18.2%
ValueCountFrequency (%)
0 509
32.1%
1 58
 
3.7%
2 157
 
9.9%
3 159
 
10.0%
4 113
 
7.1%
5 110
 
6.9%
6 49
 
3.1%
7 29
 
1.8%
8 36
 
2.3%
9 22
 
1.4%
ValueCountFrequency (%)
37 1
 
0.1%
36 1
 
0.1%
27 1
 
0.1%
21 2
 
0.1%
20 5
0.3%
19 1
 
0.1%
18 1
 
0.1%
17 2
 
0.1%
16 4
0.3%
15 3
0.2%

사용시작지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1217 
<NA>
301 
1
 
65
3
 
1

Length

Max length4
Median length1
Mean length1.5700758
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1217
76.8%
<NA> 301
 
19.0%
1 65
 
4.1%
3 1
 
0.1%

Length

2023-12-11T07:47:20.219537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:20.331645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1217
76.8%
na 301
 
19.0%
1 65
 
4.1%
3 1
 
0.1%

사용끝지하층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.5%
Missing301
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.083398285
Minimum0
Maximum8
Zeros1214
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:20.431430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.47403435
Coefficient of variation (CV)5.683982
Kurtosis116.82948
Mean0.083398285
Median Absolute Deviation (MAD)0
Skewness9.5799506
Sum107
Variance0.22470857
MonotonicityNot monotonic
2023-12-11T07:47:20.544369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1214
76.6%
1 56
 
3.5%
4 5
 
0.3%
2 4
 
0.3%
6 2
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
(Missing) 301
 
19.0%
ValueCountFrequency (%)
0 1214
76.6%
1 56
 
3.5%
2 4
 
0.3%
3 1
 
0.1%
4 5
 
0.3%
6 2
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 2
 
0.1%
4 5
 
0.3%
3 1
 
0.1%
2 4
 
0.3%
1 56
 
3.5%
0 1214
76.6%

한실수(개)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.510101
Minimum0
Maximum273
Zeros1089
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:20.703698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum273
Range273
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.001332
Coefficient of variation (CV)3.7039767
Kurtosis165.62186
Mean3.510101
Median Absolute Deviation (MAD)0
Skewness10.739855
Sum5560
Variance169.03464
MonotonicityNot monotonic
2023-12-11T07:47:20.865551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1089
68.8%
2 69
 
4.4%
4 52
 
3.3%
3 48
 
3.0%
5 39
 
2.5%
1 38
 
2.4%
6 35
 
2.2%
10 28
 
1.8%
9 28
 
1.8%
7 25
 
1.6%
Other values (45) 133
 
8.4%
ValueCountFrequency (%)
0 1089
68.8%
1 38
 
2.4%
2 69
 
4.4%
3 48
 
3.0%
4 52
 
3.3%
5 39
 
2.5%
6 35
 
2.2%
7 25
 
1.6%
8 20
 
1.3%
9 28
 
1.8%
ValueCountFrequency (%)
273 1
0.1%
185 1
0.1%
151 1
0.1%
125 1
0.1%
120 1
0.1%
107 1
0.1%
91 1
0.1%
83 2
0.1%
77 1
0.1%
60 1
0.1%

양실수(개)
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)7.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean23.363234
Minimum0
Maximum826
Zeros176
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-11T07:47:21.316422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median16
Q330
95-th percentile53.9
Maximum826
Range826
Interquartile range (IQR)24

Descriptive statistics

Standard deviation41.406835
Coefficient of variation (CV)1.7723075
Kurtosis117.99773
Mean23.363234
Median Absolute Deviation (MAD)11
Skewness8.7510947
Sum36984
Variance1714.526
MonotonicityNot monotonic
2023-12-11T07:47:21.457857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
11.1%
6 61
 
3.9%
7 52
 
3.3%
15 49
 
3.1%
2 49
 
3.1%
10 47
 
3.0%
19 46
 
2.9%
12 44
 
2.8%
30 43
 
2.7%
18 43
 
2.7%
Other values (103) 973
61.4%
ValueCountFrequency (%)
0 176
11.1%
1 30
 
1.9%
2 49
 
3.1%
3 32
 
2.0%
4 42
 
2.7%
5 37
 
2.3%
6 61
 
3.9%
7 52
 
3.3%
8 41
 
2.6%
9 33
 
2.1%
ValueCountFrequency (%)
826 1
0.1%
440 1
0.1%
432 1
0.1%
402 1
0.1%
343 1
0.1%
321 1
0.1%
306 1
0.1%
290 1
0.1%
287 1
0.1%
282 1
0.1%

욕실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1297 
<NA>
287 

Length

Max length4
Median length1
Mean length1.5435606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1297
81.9%
<NA> 287
 
18.1%

Length

2023-12-11T07:47:21.631662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:21.748743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1297
81.9%
na 287
 
18.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing287
Missing (%)18.1%
Memory size3.2 KiB
False
1297 
(Missing)
287 
ValueCountFrequency (%)
False 1297
81.9%
(Missing) 287
 
18.1%
2023-12-11T07:47:21.849572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1584
Missing (%)100.0%
Memory size14.1 KiB

조건부허가신고사유
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1582
Missing (%)99.9%
Memory size12.5 KiB
2023-12-11T07:47:22.032369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length42
Mean length42
Min length15

Characters and Unicode

Total characters84
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row※ 공중위생관리법에 따른 숙박업소라 하더라도 관광숙박업소로 등록된 경우에는 관광진흥법 소관 (공중위생관리법:위생관리만 해당)
2nd row체류기간 연장 시 보고 바람
ValueCountFrequency (%)
※ 1
 
5.9%
소관 1
 
5.9%
보고 1
 
5.9%
시 1
 
5.9%
연장 1
 
5.9%
체류기간 1
 
5.9%
해당 1
 
5.9%
공중위생관리법:위생관리만 1
 
5.9%
관광진흥법 1
 
5.9%
공중위생관리법에 1
 
5.9%
Other values (7) 7
41.2%
2023-12-11T07:47:22.384761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
17.9%
관 6
 
7.1%
생 3
 
3.6%
법 3
 
3.6%
리 3
 
3.6%
소 3
 
3.6%
위 3
 
3.6%
중 2
 
2.4%
공 2
 
2.4%
에 2
 
2.4%
Other values (37) 42
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
77.4%
Space Separator 15
 
17.9%
Other Punctuation 2
 
2.4%
Close Punctuation 1
 
1.2%
Open Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 6
 
9.2%
생 3
 
4.6%
법 3
 
4.6%
리 3
 
4.6%
소 3
 
4.6%
위 3
 
4.6%
중 2
 
3.1%
공 2
 
3.1%
에 2
 
3.1%
숙 2
 
3.1%
Other values (32) 36
55.4%
Other Punctuation
ValueCountFrequency (%)
※ 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
77.4%
Common 19
 
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 6
 
9.2%
생 3
 
4.6%
법 3
 
4.6%
리 3
 
4.6%
소 3
 
4.6%
위 3
 
4.6%
중 2
 
3.1%
공 2
 
3.1%
에 2
 
3.1%
숙 2
 
3.1%
Other values (32) 36
55.4%
Common
ValueCountFrequency (%)
15
78.9%
) 1
 
5.3%
※ 1
 
5.3%
: 1
 
5.3%
( 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
77.4%
ASCII 18
 
21.4%
Punctuation 1
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
83.3%
) 1
 
5.6%
: 1
 
5.6%
( 1
 
5.6%
Hangul
ValueCountFrequency (%)
관 6
 
9.2%
생 3
 
4.6%
법 3
 
4.6%
리 3
 
4.6%
소 3
 
4.6%
위 3
 
4.6%
중 2
 
3.1%
공 2
 
3.1%
에 2
 
3.1%
숙 2
 
3.1%
Other values (32) 36
55.4%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

조건부허가시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
<NA>
1582 
20230816
 
1
20200731
 
1

Length

Max length8
Median length4
Mean length4.0050505
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1582
99.9%
20230816 1
 
0.1%
20200731 1
 
0.1%

Length

2023-12-11T07:47:22.540722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:22.665785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1582
99.9%
20230816 1
 
0.1%
20200731 1
 
0.1%

조건부허가종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
<NA>
1582 
20260821
 
1
20260608
 
1

Length

Max length8
Median length4
Mean length4.0050505
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1582
99.9%
20260821 1
 
0.1%
20260608 1
 
0.1%

Length

2023-12-11T07:47:22.799900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:22.910941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1582
99.9%
20260821 1
 
0.1%
20260608 1
 
0.1%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1297 
<NA>
287 

Length

Max length4
Median length1
Mean length1.5435606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1297
81.9%
<NA> 287
 
18.1%

Length

2023-12-11T07:47:23.046495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:23.164432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1297
81.9%
na 287
 
18.1%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1110 
<NA>
458 
1
 
13
3
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.8674242
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 1110
70.1%
<NA> 458
28.9%
1 13
 
0.8%
3 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Length

2023-12-11T07:47:23.295717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:23.400969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1110
70.1%
na 458
28.9%
1 13
 
0.8%
3 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1103 
<NA>
458 
1
 
20
5
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.8674242
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 1103
69.6%
<NA> 458
28.9%
1 20
 
1.3%
5 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Length

2023-12-11T07:47:23.530578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:23.657381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1103
69.6%
na 458
28.9%
1 20
 
1.3%
5 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1297 
<NA>
287 

Length

Max length4
Median length1
Mean length1.5435606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1297
81.9%
<NA> 287
 
18.1%

Length

2023-12-11T07:47:23.779462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:23.889231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1297
81.9%
na 287
 
18.1%

침대수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
0
1297 
<NA>
287 

Length

Max length4
Median length1
Mean length1.5435606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1297
81.9%
<NA> 287
 
18.1%

Length

2023-12-11T07:47:24.000212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:47:24.109990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1297
81.9%
na 287
 
18.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
False
1571 
True
 
13
ValueCountFrequency (%)
False 1571
99.2%
True 13
 
0.8%
2023-12-11T07:47:24.213583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시군명관리번호인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적(㎡)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수(개)양실수(개)욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
0가평군4160000-214-2023-000242023-04-07파인피노/103동<NA>영업/정상영업<NA><NA><NA><NA><NA>238.28경기도 가평군 설악면 엄소속골길 85-35경기도 가평군 설악면 엄소리 456-161247037.647043127.481772숙박업(생활)242441.786758460624.102954숙박업(생활)201200010N<NA><NA><NA><NA>00000N
1가평군4160000-201-2010-000032010-08-12가평호텔<NA>영업/정상영업<NA><NA><NA><NA><NA>1380.12경기도 가평군 가평읍 석봉로3번길 14경기도 가평군 가평읍 대곡리 411-31241637.81854127.507181일반호텔244591.88453479665.061937일반호텔5114004350N<NA><NA><NA><NA>00000N
2가평군4160000-214-2020-000182020-07-09하루키즈풀발라<NA>영업/정상영업<NA><NA><NA><NA><NA>428.45경기도 가평군 조종면 현등사길 55-209경기도 가평군 조종면 운악리 417-101243237.859882127.346221숙박업(생활)230388.309681484174.776245숙박업(생활)201200070N<NA><NA><NA><NA>00000N
3가평군4160000-214-2020-000382020-09-23해피키즈풀빌라E동<NA>영업/정상영업<NA><NA><NA><NA><NA>72.0경기도 가평군 가평읍 호반로 2126-8경기도 가평군 가평읍 이화리 107-25 1~2층1242737.779486127.509119숙박업(생활)244777.370647475338.809621숙박업(생활)2012<NA><NA>010N<NA><NA><NA><NA>00000N
4가평군4160000-214-2023-000102023-02-28해피키즈풀빌라102호<NA>영업/정상영업<NA><NA><NA><NA><NA>72.0경기도 가평군 가평읍 호반로 2130경기도 가평군 가평읍 이화리 107-17 1층~2층1242737.779819127.509119숙박업(생활)244780.28364475377.619524숙박업(생활)201200010N<NA><NA><NA><NA>00000N
5가평군4160000-214-2020-000352020-09-10해피키즈풀빌라A동<NA>영업/정상영업<NA><NA><NA><NA><NA>72.38경기도 가평군 가평읍 호반로 2130-11경기도 가평군 가평읍 이화리 107-6 ,1~2층1242737.780495127.508858숙박업(생활)244757.009507475451.050865숙박업(생활)201200010N<NA><NA><NA><NA>00000N
6가평군4160000-214-2021-000532021-06-17한송<NA>영업/정상영업<NA><NA><NA><NA>031 589 5000225.56경기도 가평군 조종면 대보간선로 495-10경기도 가평군 조종면 대보리 157-18 외5필지(157-20,157-21,157-23,157-24,157-25) 다동1~2층1243937.796406127.380065숙박업(생활)233421.186036477291.5724숙박업(생활)201200040N<NA><NA><NA><NA>00000N
7가평군4160000-214-2018-000112018-04-04별을담은키즈펜션<NA>영업/정상영업<NA><NA><NA><NA><NA>281.69경기도 가평군 북면 백둔로467번길 62경기도 가평군 북면 백둔리 492-6 외 2칠지, 주1(1~2층), 주2(1층)1240637.899838127.452603숙박업(생활)239742.464583488675.095947숙박업(생활)201200030N<NA><NA><NA><NA>01000N
8가평군4160000-201-2020-000072020-09-15가평빠지<NA>영업/정상영업<NA><NA><NA><NA><NA>564.78<NA>경기도 가평군 가평읍 이화리 36-1 ,A,B,C동 각1~2층<NA><NA><NA>숙박업 기타245652.570231477064.384732숙박업 기타201200060N<NA><NA><NA><NA>00000N
9가평군4160000-214-2021-000522021-06-17청솔<NA>영업/정상영업<NA><NA><NA><NA>031 589 5000225.56경기도 가평군 조종면 대보간선로 495-10경기도 가평군 조종면 대보리 157-18 외5필지(157-20,157-21,157-23,157-24,157-25)마동1243937.796406127.380065숙박업(생활)233421.186036477291.5724숙박업(생활)201200040N<NA><NA><NA><NA>00000N
시군명관리번호인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적(㎡)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수(개)양실수(개)욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
1574화성시<NA>20180514리멤버8<NA><NA>운영중<NA><NA><NA><NA><NA><NA>경기도 화성시 서신면 해안길178번길 8-11경기도 화성시 서신면 제부리 79-1번지1855337.163513126.620167<NA><NA><NA>숙박업(생활)<NA><NA><NA><NA><NA><NA>03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
1575화성시<NA>20180628블루하우스<NA><NA>운영중<NA><NA><NA><NA><NA><NA>경기도 화성시 서신면 해안길 246-10경기도 화성시 서신면 제부리 190-101번지1855337.162901126.61907<NA><NA><NA>숙박업(생활)<NA><NA><NA><NA><NA><NA>08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
1576화성시5530000-201-2018-000032018-08-22섬마을콘도.민박<NA>폐업폐업2023-08-25<NA><NA><NA><NA>185.25경기도 화성시 서신면 해안길178번길 96경기도 화성시 서신면 제부리 198-61855337.170172126.61858숙박업 기타166133.398427407705.740542숙박업 기타001100070N<NA><NA><NA><NA>00000N
1577화성시5530000-214-2019-000072019-03-22갯벌관광펜션<NA>폐업폐업2023-12-05<NA><NA><NA>031 357 2162298.15경기도 화성시 서신면 해안길 116-6경기도 화성시 서신면 제부리 40-131855337.166435126.625235숙박업(생활)166710.177247407272.104617숙박업(생활)002300050N<NA><NA><NA><NA>00000N
1578화성시5530000-201-2003-000052003-03-12힐링온천텔<NA>폐업폐업2023-08-07<NA><NA><NA>031354 22621304.0경기도 화성시 팔탄면 버들로1597번길 11경기도 화성시 팔탄면 월문리 235-111857737.114992126.876187일반호텔188930.872905401469.685375일반호텔3100002280N<NA><NA><NA><NA>00000N
1579화성시5530000-201-2001-000032001-12-17포시즌모텔<NA>폐업폐업2023-07-14<NA><NA><NA>031 3572677545.12경기도 화성시 서신면 해안길 300-10경기도 화성시 서신면 제부리 190-39 1층 일부, 3층,4층전부호1855337.167655126.618294여관업166102.627522407431.941711여관업00000026160N<NA><NA><NA><NA>00000N
1580화성시5530000-201-1981-000021981-11-05현대여인숙<NA>폐업폐업2023-07-13<NA><NA><NA>031 234019539.6경기도 화성시 떡전골로 108-13경기도 화성시 진안동 525-361839037.208383127.034074여인숙업202953.758266411835.577558여인숙업0000001000N<NA><NA><NA><NA>00000N
1581화성시5530000-201-2002-000032002-03-27뉴스타파크<NA>폐업폐업2023-07-10<NA><NA><NA>031358 52761356.0경기도 화성시 우정읍 한뿌리1길 157-25경기도 화성시 우정읍 94-71856137.096534126.802283여관업182342.334493399445.217129여관업0000000390N<NA><NA><NA><NA>00000N
1582화성시5530000-214-2018-000052018-05-11(주)코리아센터제부리지점<NA>폐업폐업2023-07-03<NA><NA><NA>031 357 5479250.24경기도 화성시 서신면 해안길 282-2경기도 화성시 서신면 제부리 190-1191855337.166109126.617704숙박업(생활)166047.133913407260.036227숙박업(생활)001200020N<NA><NA><NA><NA>00000N
1583화성시<NA>20130823크레아레지던스<NA><NA>폐업 등20160122<NA><NA><NA><NA><NA>경기도 화성시 큰재봉길 29경기도 화성시 석우동 33-1번지 동탄우미쁘띠린 오피스텔 4층 전부1845037.218514127.079559<NA><NA><NA>숙박업(생활)<NA><NA><NA><NA><NA><NA>018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N