Overview

Dataset statistics

Number of variables41
Number of observations2178
Missing cells31685
Missing cells (%)35.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory757.3 KiB
Average record size in memory356.1 B

Variable types

Categorical12
Text6
DateTime2
Numeric11
Unsupported10

Alerts

문화체육업종명 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
영업상태명 is highly imbalanced (52.7%)Imbalance
주변환경명 is highly imbalanced (64.2%)Imbalance
영문상호주소 is highly imbalanced (90.3%)Imbalance
인허가취소일자 has 2062 (94.7%) missing valuesMissing
폐업일자 has 726 (33.3%) missing valuesMissing
소재지시설전화번호 has 778 (35.7%) missing valuesMissing
소재지면적정보 has 2178 (100.0%) missing valuesMissing
도로명우편번호 has 738 (33.9%) missing valuesMissing
소재지도로명주소 has 68 (3.1%) missing valuesMissing
업태구분명정보 has 2178 (100.0%) missing valuesMissing
X좌표값 has 83 (3.8%) missing valuesMissing
Y좌표값 has 83 (3.8%) missing valuesMissing
총층수 has 1268 (58.2%) missing valuesMissing
지상층수 has 1275 (58.5%) missing valuesMissing
지하층수 has 1424 (65.4%) missing valuesMissing
선박제원내용 has 2178 (100.0%) missing valuesMissing
기념품종류명 has 2178 (100.0%) missing valuesMissing
시설면적 has 1012 (46.5%) missing valuesMissing
놀이기구수내역 has 2178 (100.0%) missing valuesMissing
방송시설유무 has 2178 (100.0%) missing valuesMissing
발전시설유무 has 2178 (100.0%) missing valuesMissing
의무실유무 has 2178 (100.0%) missing valuesMissing
안내소유무 has 2178 (100.0%) missing valuesMissing
자본금 has 374 (17.2%) missing valuesMissing
부대시설내역 has 2178 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 23.68116751)Skewed
자본금 is highly skewed (γ1 = 41.21859803)Skewed
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 494 (22.7%) zerosZeros
지상층수 has 501 (23.0%) zerosZeros
지하층수 has 577 (26.5%) zerosZeros
시설면적 has 380 (17.4%) zerosZeros
자본금 has 125 (5.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:40:45.472655
Analysis finished2023-12-10 21:40:46.937155
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
수원시
247 
성남시
210 
고양시
185 
부천시
156 
안산시
126 
Other values (27)
1254 

Length

Max length4
Median length3
Mean length3.0661157
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 247
 
11.3%
성남시 210
 
9.6%
고양시 185
 
8.5%
부천시 156
 
7.2%
안산시 126
 
5.8%
안양시 124
 
5.7%
용인시 119
 
5.5%
화성시 108
 
5.0%
평택시 93
 
4.3%
파주시 78
 
3.6%
Other values (22) 732
33.6%

Length

2023-12-11T06:40:47.000171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 247
 
11.3%
성남시 210
 
9.6%
고양시 185
 
8.5%
부천시 156
 
7.2%
안산시 126
 
5.8%
안양시 124
 
5.7%
용인시 119
 
5.5%
화성시 108
 
5.0%
평택시 93
 
4.3%
파주시 78
 
3.6%
Other values (22) 732
33.6%

사업장명
Text

Distinct1997
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2023-12-11T06:40:47.275334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length8.087236
Min length2

Characters and Unicode

Total characters17614
Distinct characters593
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1857 ?
Unique (%)85.3%

Sample

1st row(주)월드투어
2nd row(주)서희투어
3rd row(주)에코피아투어
4th rowK9여행사
5th row관광문화콘텐츠협동조합가치가
ValueCountFrequency (%)
주식회사 272
 
9.9%
여행사 58
 
2.1%
주 47
 
1.7%
투어 31
 
1.1%
해피투어 7
 
0.3%
여행 6
 
0.2%
tour 6
 
0.2%
여행클럽 6
 
0.2%
협동조합 6
 
0.2%
유한회사 6
 
0.2%
Other values (2076) 2306
83.8%
2023-12-11T06:40:47.795574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1480
 
8.4%
) 1206
 
6.8%
( 1172
 
6.7%
사 1094
 
6.2%
행 911
 
5.2%
여 910
 
5.2%
573
 
3.3%
어 568
 
3.2%
투 546
 
3.1%
광 382
 
2.2%
Other values (583) 8772
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14346
81.4%
Close Punctuation 1206
 
6.8%
Open Punctuation 1172
 
6.7%
Space Separator 573
 
3.3%
Uppercase Letter 183
 
1.0%
Lowercase Letter 63
 
0.4%
Decimal Number 48
 
0.3%
Other Punctuation 17
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1480
 
10.3%
사 1094
 
7.6%
행 911
 
6.4%
여 910
 
6.3%
어 568
 
4.0%
투 546
 
3.8%
광 382
 
2.7%
관 376
 
2.6%
이 325
 
2.3%
회 309
 
2.2%
Other values (519) 7445
51.9%
Uppercase Letter
ValueCountFrequency (%)
T 21
 
11.5%
M 20
 
10.9%
E 14
 
7.7%
C 12
 
6.6%
A 11
 
6.0%
S 11
 
6.0%
O 11
 
6.0%
R 10
 
5.5%
N 8
 
4.4%
I 7
 
3.8%
Other values (14) 58
31.7%
Lowercase Letter
ValueCountFrequency (%)
e 9
14.3%
o 7
11.1%
n 7
11.1%
u 7
11.1%
t 4
 
6.3%
r 4
 
6.3%
h 3
 
4.8%
g 2
 
3.2%
a 2
 
3.2%
w 2
 
3.2%
Other values (10) 16
25.4%
Decimal Number
ValueCountFrequency (%)
1 11
22.9%
0 8
16.7%
5 7
14.6%
2 7
14.6%
3 6
12.5%
9 4
 
8.3%
6 4
 
8.3%
7 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 7
41.2%
& 4
23.5%
, 2
 
11.8%
/ 2
 
11.8%
: 1
 
5.9%
@ 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 1206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1172
100.0%
Space Separator
ValueCountFrequency (%)
573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14346
81.4%
Common 3021
 
17.2%
Latin 246
 
1.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1480
 
10.3%
사 1094
 
7.6%
행 911
 
6.4%
여 910
 
6.3%
어 568
 
4.0%
투 546
 
3.8%
광 382
 
2.7%
관 376
 
2.6%
이 325
 
2.3%
회 309
 
2.2%
Other values (519) 7445
51.9%
Latin
ValueCountFrequency (%)
T 21
 
8.5%
M 20
 
8.1%
E 14
 
5.7%
C 12
 
4.9%
A 11
 
4.5%
S 11
 
4.5%
O 11
 
4.5%
R 10
 
4.1%
e 9
 
3.7%
N 8
 
3.3%
Other values (34) 119
48.4%
Common
ValueCountFrequency (%)
) 1206
39.9%
( 1172
38.8%
573
19.0%
1 11
 
0.4%
0 8
 
0.3%
. 7
 
0.2%
5 7
 
0.2%
2 7
 
0.2%
3 6
 
0.2%
9 4
 
0.1%
Other values (9) 20
 
0.7%
Han
ValueCountFrequency (%)
情 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14345
81.4%
ASCII 3267
 
18.5%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1480
 
10.3%
사 1094
 
7.6%
행 911
 
6.4%
여 910
 
6.3%
어 568
 
4.0%
투 546
 
3.8%
광 382
 
2.7%
관 376
 
2.6%
이 325
 
2.3%
회 309
 
2.2%
Other values (518) 7444
51.9%
ASCII
ValueCountFrequency (%)
) 1206
36.9%
( 1172
35.9%
573
17.5%
T 21
 
0.6%
M 20
 
0.6%
E 14
 
0.4%
C 12
 
0.4%
A 11
 
0.3%
S 11
 
0.3%
1 11
 
0.3%
Other values (53) 216
 
6.6%
CJK
ValueCountFrequency (%)
情 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

인허가일자
Date

Distinct1729
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
Minimum1974-05-20 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:40:47.997228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:48.446935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)68.1%
Missing2062
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean20155089
Minimum20050303
Maximum20221220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:48.613872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050303
5-th percentile20090817
Q120130385
median20155661
Q320190919
95-th percentile20210868
Maximum20221220
Range170917
Interquartile range (IQR)60534.25

Descriptive statistics

Standard deviation39750.601
Coefficient of variation (CV)0.0019722364
Kurtosis-0.47138495
Mean20155089
Median Absolute Deviation (MAD)35212.5
Skewness-0.40522018
Sum2.3379903 × 109
Variance1.5801103 × 109
MonotonicityNot monotonic
2023-12-11T06:40:48.827836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190919 9
 
0.4%
20171110 5
 
0.2%
20120308 4
 
0.2%
20131111 4
 
0.2%
20140704 3
 
0.1%
20140502 3
 
0.1%
20111125 3
 
0.1%
20190718 3
 
0.1%
20200608 3
 
0.1%
20110419 2
 
0.1%
Other values (69) 77
 
3.5%
(Missing) 2062
94.7%
ValueCountFrequency (%)
20050303 1
< 0.1%
20050824 1
< 0.1%
20061221 1
< 0.1%
20080506 1
< 0.1%
20081010 1
< 0.1%
20090527 1
< 0.1%
20090914 1
< 0.1%
20091104 1
< 0.1%
20091123 1
< 0.1%
20091126 1
< 0.1%
ValueCountFrequency (%)
20221220 1
< 0.1%
20220830 2
0.1%
20211108 1
< 0.1%
20211018 2
0.1%
20210818 1
< 0.1%
20210721 1
< 0.1%
20210422 1
< 0.1%
20210112 1
< 0.1%
20201126 1
< 0.1%
20200803 2
0.1%

영업상태구분코드
Real number (ℝ)

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1969697
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:48.960939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0725494
Coefficient of variation (CV)0.98482119
Kurtosis2.271598
Mean8.1969697
Median Absolute Deviation (MAD)0
Skewness1.6824524
Sum17853
Variance65.166054
MonotonicityNot monotonic
2023-12-11T06:40:49.077384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 1348
61.9%
13 545
25.0%
31 125
 
5.7%
15 99
 
4.5%
30 19
 
0.9%
2 17
 
0.8%
35 16
 
0.7%
25 5
 
0.2%
14 3
 
0.1%
33 1
 
< 0.1%
ValueCountFrequency (%)
2 17
 
0.8%
3 1348
61.9%
13 545
25.0%
14 3
 
0.1%
15 99
 
4.5%
25 5
 
0.2%
30 19
 
0.9%
31 125
 
5.7%
33 1
 
< 0.1%
35 16
 
0.7%
ValueCountFrequency (%)
35 16
 
0.7%
33 1
 
< 0.1%
31 125
 
5.7%
30 19
 
0.9%
25 5
 
0.2%
15 99
 
4.5%
14 3
 
0.1%
13 545
25.0%
3 1348
61.9%
2 17
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
폐업
1348 
영업중
545 
등록취소
 
125
전출
 
99
허가취소
 
19
Other values (5)
 
42

Length

Max length4
Median length2
Mean length2.402663
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1348
61.9%
영업중 545
25.0%
등록취소 125
 
5.7%
전출 99
 
4.5%
허가취소 19
 
0.9%
휴업 17
 
0.8%
직권말소 16
 
0.7%
영업정지 5
 
0.2%
전입 3
 
0.1%
지정취소 1
 
< 0.1%

Length

2023-12-11T06:40:49.245095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:49.426718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1348
61.9%
영업중 545
25.0%
등록취소 125
 
5.7%
전출 99
 
4.5%
허가취소 19
 
0.9%
휴업 17
 
0.8%
직권말소 16
 
0.7%
영업정지 5
 
0.2%
전입 3
 
0.1%
지정취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1111
Distinct (%)76.5%
Missing726
Missing (%)33.3%
Memory size17.1 KiB
Minimum1997-03-08 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:40:49.616660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.755342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct1351
Distinct (%)96.5%
Missing778
Missing (%)35.7%
Memory size17.1 KiB
2023-12-11T06:40:50.034528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.907857
Min length7

Characters and Unicode

Total characters15271
Distinct characters16
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1305 ?
Unique (%)93.2%

Sample

1st row031-582-1116
2nd row031-585-4267
3rd row031-589-1706
4th row582-1080
5th row031-581-2288
ValueCountFrequency (%)
031 26
 
1.8%
032 4
 
0.3%
031-668-1004 3
 
0.2%
031-358-9111 3
 
0.2%
031-314-9055 3
 
0.2%
031-297-2704 2
 
0.1%
031-552-6624 2
 
0.1%
031-307-9202 2
 
0.1%
031-591-7657 2
 
0.1%
257-2202 2
 
0.1%
Other values (1373) 1413
96.6%
2023-12-11T06:40:50.481887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2323
15.2%
- 2143
14.0%
1 1882
12.3%
3 1805
11.8%
2 1213
7.9%
7 1124
7.4%
5 1053
6.9%
6 1009
6.6%
8 973
6.4%
4 919
 
6.0%
Other values (6) 827
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13021
85.3%
Dash Punctuation 2143
 
14.0%
Space Separator 67
 
0.4%
Close Punctuation 15
 
0.1%
Other Punctuation 13
 
0.1%
Math Symbol 10
 
0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2323
17.8%
1 1882
14.5%
3 1805
13.9%
2 1213
9.3%
7 1124
8.6%
5 1053
8.1%
6 1009
7.7%
8 973
7.5%
4 919
 
7.1%
9 720
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 2143
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2323
15.2%
- 2143
14.0%
1 1882
12.3%
3 1805
11.8%
2 1213
7.9%
7 1124
7.4%
5 1053
6.9%
6 1009
6.6%
8 973
6.4%
4 919
 
6.0%
Other values (6) 827
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2323
15.2%
- 2143
14.0%
1 1882
12.3%
3 1805
11.8%
2 1213
7.9%
7 1124
7.4%
5 1053
6.9%
6 1009
6.6%
8 973
6.4%
4 919
 
6.0%
Other values (6) 827
 
5.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

도로명우편번호
Text

MISSING 

Distinct943
Distinct (%)65.5%
Missing738
Missing (%)33.9%
Memory size17.1 KiB
2023-12-11T06:40:50.818057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1034722
Min length5

Characters and Unicode

Total characters7349
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

Unique671 ?
Unique (%)46.6%

Sample

1st row12413
2nd row12416
3rd row12419
4th row12452
5th row12421
ValueCountFrequency (%)
15360 13
 
0.9%
14548 12
 
0.8%
10523 9
 
0.6%
14048 8
 
0.6%
15865 8
 
0.6%
13506 7
 
0.5%
17006 7
 
0.5%
10113 6
 
0.4%
16490 6
 
0.4%
15458 6
 
0.4%
Other values (933) 1358
94.3%
2023-12-11T06:40:51.331130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1862
25.3%
4 872
11.9%
5 711
 
9.7%
0 688
 
9.4%
6 606
 
8.2%
3 582
 
7.9%
2 577
 
7.9%
7 521
 
7.1%
8 514
 
7.0%
9 413
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7346
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1862
25.3%
4 872
11.9%
5 711
 
9.7%
0 688
 
9.4%
6 606
 
8.2%
3 582
 
7.9%
2 577
 
7.9%
7 521
 
7.1%
8 514
 
7.0%
9 413
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1862
25.3%
4 872
11.9%
5 711
 
9.7%
0 688
 
9.4%
6 606
 
8.2%
3 582
 
7.9%
2 577
 
7.9%
7 521
 
7.1%
8 514
 
7.0%
9 413
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1862
25.3%
4 872
11.9%
5 711
 
9.7%
0 688
 
9.4%
6 606
 
8.2%
3 582
 
7.9%
2 577
 
7.9%
7 521
 
7.1%
8 514
 
7.0%
9 413
 
5.6%

소재지도로명주소
Text

MISSING 

Distinct2039
Distinct (%)96.6%
Missing68
Missing (%)3.1%
Memory size17.1 KiB
2023-12-11T06:40:51.652625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length32.2891
Min length14

Characters and Unicode

Total characters68130
Distinct characters539
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1976 ?
Unique (%)93.6%

Sample

1st row경기도 가평군 가평읍 석봉로 188 (우진빌딩)
2nd row경기도 가평군 가평읍 석봉로77번길 31 (스카이25시)
3rd row경기도 가평군 가평읍 가화로 104-1
4th row경기도 가평군 청평면 여울길 14
5th row경기도 가평군 가평읍 자라섬로 11, 1동
ValueCountFrequency (%)
경기도 2104
 
15.0%
수원시 243
 
1.7%
성남시 201
 
1.4%
고양시 181
 
1.3%
부천시 155
 
1.1%
2층 145
 
1.0%
분당구 126
 
0.9%
안양시 124
 
0.9%
안산시 123
 
0.9%
팔달구 117
 
0.8%
Other values (3835) 10547
75.0%
2023-12-11T06:40:52.137235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12316
 
18.1%
1 2419
 
3.6%
동 2342
 
3.4%
경 2225
 
3.3%
기 2214
 
3.2%
시 2194
 
3.2%
도 2168
 
3.2%
로 2059
 
3.0%
) 1874
 
2.8%
( 1873
 
2.7%
Other values (529) 36446
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38552
56.6%
Space Separator 12316
 
18.1%
Decimal Number 11023
 
16.2%
Close Punctuation 1874
 
2.8%
Open Punctuation 1873
 
2.7%
Other Punctuation 1866
 
2.7%
Dash Punctuation 393
 
0.6%
Uppercase Letter 199
 
0.3%
Lowercase Letter 29
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2342
 
6.1%
경 2225
 
5.8%
기 2214
 
5.7%
시 2194
 
5.7%
도 2168
 
5.6%
로 2059
 
5.3%
구 1106
 
2.9%
호 1088
 
2.8%
양 716
 
1.9%
안 682
 
1.8%
Other values (469) 21758
56.4%
Uppercase Letter
ValueCountFrequency (%)
B 58
29.1%
A 34
17.1%
C 11
 
5.5%
E 11
 
5.5%
T 10
 
5.0%
S 7
 
3.5%
K 7
 
3.5%
W 6
 
3.0%
R 6
 
3.0%
L 6
 
3.0%
Other values (13) 43
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.7%
o 4
13.8%
r 3
10.3%
w 3
10.3%
t 3
10.3%
c 2
 
6.9%
p 2
 
6.9%
n 2
 
6.9%
i 2
 
6.9%
h 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 2419
21.9%
2 1710
15.5%
0 1339
12.1%
3 1215
11.0%
4 931
 
8.4%
5 803
 
7.3%
6 753
 
6.8%
7 750
 
6.8%
9 571
 
5.2%
8 532
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1852
99.2%
. 7
 
0.4%
/ 2
 
0.1%
: 2
 
0.1%
& 1
 
0.1%
？ 1
 
0.1%
? 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅰ 1
33.3%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
12316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38552
56.6%
Common 29347
43.1%
Latin 231
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2342
 
6.1%
경 2225
 
5.8%
기 2214
 
5.7%
시 2194
 
5.7%
도 2168
 
5.6%
로 2059
 
5.3%
구 1106
 
2.9%
호 1088
 
2.8%
양 716
 
1.9%
안 682
 
1.8%
Other values (469) 21758
56.4%
Latin
ValueCountFrequency (%)
B 58
25.1%
A 34
14.7%
C 11
 
4.8%
E 11
 
4.8%
T 10
 
4.3%
S 7
 
3.0%
K 7
 
3.0%
e 6
 
2.6%
W 6
 
2.6%
R 6
 
2.6%
Other values (27) 75
32.5%
Common
ValueCountFrequency (%)
12316
42.0%
1 2419
 
8.2%
) 1874
 
6.4%
( 1873
 
6.4%
, 1852
 
6.3%
2 1710
 
5.8%
0 1339
 
4.6%
3 1215
 
4.1%
4 931
 
3.2%
5 803
 
2.7%
Other values (13) 3015
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38552
56.6%
ASCII 29573
43.4%
Number Forms 3
 
< 0.1%
CJK Compat 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12316
41.6%
1 2419
 
8.2%
) 1874
 
6.3%
( 1873
 
6.3%
, 1852
 
6.3%
2 1710
 
5.8%
0 1339
 
4.5%
3 1215
 
4.1%
4 931
 
3.1%
5 803
 
2.7%
Other values (45) 3241
 
11.0%
Hangul
ValueCountFrequency (%)
동 2342
 
6.1%
경 2225
 
5.8%
기 2214
 
5.7%
시 2194
 
5.7%
도 2168
 
5.6%
로 2059
 
5.3%
구 1106
 
2.9%
호 1088
 
2.8%
양 716
 
1.9%
안 682
 
1.8%
Other values (469) 21758
56.4%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅰ 1
33.3%
Ⅱ 1
33.3%
None
ValueCountFrequency (%)
？ 1
100.0%

소재지지번주소
Text

Distinct2095
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2023-12-11T06:40:52.448451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length25.815886
Min length11

Characters and Unicode

Total characters56227
Distinct characters495
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2022 ?
Unique (%)92.8%

Sample

1st row경기도 가평군 가평읍 읍내리 508-8
2nd row경기도 가평군 가평읍 대곡리 379-9번지
3rd row경기도 가평군 가평읍 읍내리 350-1번지
4th row경기도 가평군 청평면 청평리 432-20번지
5th row경기도 가평군 가평읍 대곡리 91-1
ValueCountFrequency (%)
경기도 2172
 
18.0%
수원시 247
 
2.0%
성남시 210
 
1.7%
고양시 185
 
1.5%
부천시 159
 
1.3%
분당구 130
 
1.1%
안산시 126
 
1.0%
안양시 125
 
1.0%
용인시 119
 
1.0%
팔달구 118
 
1.0%
Other values (3727) 8503
70.3%
2023-12-11T06:40:52.978267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10962
 
19.5%
1 2331
 
4.1%
기 2262
 
4.0%
동 2242
 
4.0%
도 2226
 
4.0%
시 2207
 
3.9%
경 2188
 
3.9%
- 1639
 
2.9%
2 1448
 
2.6%
3 1185
 
2.1%
Other values (485) 27537
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32232
57.3%
Decimal Number 11147
 
19.8%
Space Separator 10962
 
19.5%
Dash Punctuation 1639
 
2.9%
Uppercase Letter 154
 
0.3%
Other Punctuation 29
 
0.1%
Close Punctuation 20
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Open Punctuation 19
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2262
 
7.0%
동 2242
 
7.0%
도 2226
 
6.9%
시 2207
 
6.8%
경 2188
 
6.8%
지 1136
 
3.5%
구 1106
 
3.4%
번 1006
 
3.1%
호 704
 
2.2%
양 672
 
2.1%
Other values (431) 16483
51.1%
Uppercase Letter
ValueCountFrequency (%)
B 47
30.5%
A 20
13.0%
E 10
 
6.5%
C 9
 
5.8%
D 8
 
5.2%
S 8
 
5.2%
K 8
 
5.2%
T 6
 
3.9%
R 5
 
3.2%
N 5
 
3.2%
Other values (10) 28
18.2%
Decimal Number
ValueCountFrequency (%)
1 2331
20.9%
2 1448
13.0%
3 1185
10.6%
0 1135
10.2%
4 1043
9.4%
5 963
8.6%
7 861
 
7.7%
6 861
 
7.7%
9 670
 
6.0%
8 650
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
o 4
20.0%
w 3
15.0%
r 3
15.0%
p 2
10.0%
t 2
10.0%
c 1
 
5.0%
s 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 18
62.1%
/ 5
 
17.2%
. 2
 
6.9%
& 1
 
3.4%
? 1
 
3.4%
？ 1
 
3.4%
: 1
 
3.4%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅰ 1
33.3%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
10962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32232
57.3%
Common 23818
42.4%
Latin 177
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2262
 
7.0%
동 2242
 
7.0%
도 2226
 
6.9%
시 2207
 
6.8%
경 2188
 
6.8%
지 1136
 
3.5%
구 1106
 
3.4%
번 1006
 
3.1%
호 704
 
2.2%
양 672
 
2.1%
Other values (431) 16483
51.1%
Latin
ValueCountFrequency (%)
B 47
26.6%
A 20
 
11.3%
E 10
 
5.6%
C 9
 
5.1%
D 8
 
4.5%
S 8
 
4.5%
K 8
 
4.5%
T 6
 
3.4%
R 5
 
2.8%
N 5
 
2.8%
Other values (21) 51
28.8%
Common
ValueCountFrequency (%)
10962
46.0%
1 2331
 
9.8%
- 1639
 
6.9%
2 1448
 
6.1%
3 1185
 
5.0%
0 1135
 
4.8%
4 1043
 
4.4%
5 963
 
4.0%
7 861
 
3.6%
6 861
 
3.6%
Other values (13) 1390
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32232
57.3%
ASCII 23990
42.7%
Number Forms 3
 
< 0.1%
CJK Compat 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10962
45.7%
1 2331
 
9.7%
- 1639
 
6.8%
2 1448
 
6.0%
3 1185
 
4.9%
0 1135
 
4.7%
4 1043
 
4.3%
5 963
 
4.0%
7 861
 
3.6%
6 861
 
3.6%
Other values (39) 1562
 
6.5%
Hangul
ValueCountFrequency (%)
기 2262
 
7.0%
동 2242
 
7.0%
도 2226
 
6.9%
시 2207
 
6.8%
경 2188
 
6.8%
지 1136
 
3.5%
구 1106
 
3.4%
번 1006
 
3.1%
호 704
 
2.2%
양 672
 
2.1%
Other values (431) 16483
51.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅰ 1
33.3%
Ⅱ 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

소재지우편번호
Text

Distinct1358
Distinct (%)62.4%
Missing2
Missing (%)0.1%
Memory size17.1 KiB
2023-12-11T06:40:53.338783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.59375
Min length5

Characters and Unicode

Total characters12172
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

Unique955 ?
Unique (%)43.9%

Sample

1st row12413
2nd row12416
3rd row477805
4th row12452
5th row12421
ValueCountFrequency (%)
410837 21
 
1.0%
442834 16
 
0.7%
463824 14
 
0.6%
425868 12
 
0.6%
445310 10
 
0.5%
463825 10
 
0.5%
471010 9
 
0.4%
14548 9
 
0.4%
445380 9
 
0.4%
445160 8
 
0.4%
Other values (1348) 2058
94.6%
2023-12-11T06:40:53.881860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2290
18.8%
1 2036
16.7%
8 1340
11.0%
0 1323
10.9%
2 1154
9.5%
3 971
8.0%
5 908
 
7.5%
6 864
 
7.1%
7 704
 
5.8%
9 527
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12117
99.5%
Dash Punctuation 55
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2290
18.9%
1 2036
16.8%
8 1340
11.1%
0 1323
10.9%
2 1154
9.5%
3 971
8.0%
5 908
 
7.5%
6 864
 
7.1%
7 704
 
5.8%
9 527
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2290
18.8%
1 2036
16.7%
8 1340
11.0%
0 1323
10.9%
2 1154
9.5%
3 971
8.0%
5 908
 
7.5%
6 864
 
7.1%
7 704
 
5.8%
9 527
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2290
18.8%
1 2036
16.7%
8 1340
11.0%
0 1323
10.9%
2 1154
9.5%
3 971
8.0%
5 908
 
7.5%
6 864
 
7.1%
7 704
 
5.8%
9 527
 
4.3%

WGS84위도
Real number (ℝ)

Distinct1952
Distinct (%)89.9%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.430384
Minimum36.957234
Maximum38.212764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:54.063396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957234
5-th percentile37.065926
Q137.278199
median37.395329
Q337.608891
95-th percentile37.806567
Maximum38.212764
Range1.2555304
Interquartile range (IQR)0.3306928

Descriptive statistics

Standard deviation0.21468544
Coefficient of variation (CV)0.0057355929
Kurtosis-0.28653513
Mean37.430384
Median Absolute Deviation (MAD)0.12864536
Skewness0.25689353
Sum81298.794
Variance0.04608984
MonotonicityNot monotonic
2023-12-11T06:40:54.236000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2283389155 9
 
0.4%
37.2196719348 4
 
0.2%
37.3186987 4
 
0.2%
37.3031494595 4
 
0.2%
37.2662767721 3
 
0.1%
37.6549654 3
 
0.1%
37.6137196 3
 
0.1%
37.501495818 3
 
0.1%
37.3143552753 3
 
0.1%
37.2641539699 3
 
0.1%
Other values (1942) 2133
97.9%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
36.9572336694 1
< 0.1%
36.9573612605 1
< 0.1%
36.9592475 1
< 0.1%
36.9607203994 1
< 0.1%
36.9607785 1
< 0.1%
36.96091 1
< 0.1%
36.9611367 2
0.1%
36.9641193413 1
< 0.1%
36.9833364771 1
< 0.1%
36.9870727 1
< 0.1%
ValueCountFrequency (%)
38.2127641 1
< 0.1%
38.0927908706 1
< 0.1%
38.091541132 1
< 0.1%
38.0676162 1
< 0.1%
38.0637798 1
< 0.1%
38.0301142 1
< 0.1%
38.0227135082 1
< 0.1%
38.0226232158 1
< 0.1%
37.9995653501 1
< 0.1%
37.9878431522 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct1952
Distinct (%)89.9%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean127.00803
Minimum126.56982
Maximum127.74994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:54.392537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56982
5-th percentile126.74593
Q1126.83035
median127.01695
Q3127.12172
95-th percentile127.44768
Maximum127.74994
Range1.1801249
Interquartile range (IQR)0.29136551

Descriptive statistics

Standard deviation0.2062217
Coefficient of variation (CV)0.0016236903
Kurtosis0.70564422
Mean127.00803
Median Absolute Deviation (MAD)0.12818732
Skewness0.73753974
Sum275861.44
Variance0.042527391
MonotonicityNot monotonic
2023-12-11T06:40:54.544340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9715794307 9
 
0.4%
126.948826683 4
 
0.2%
126.8348541 4
 
0.2%
127.0080560562 4
 
0.2%
127.0023523514 3
 
0.1%
126.774435 3
 
0.1%
126.8336489 3
 
0.1%
126.7736873538 3
 
0.1%
126.8398749315 3
 
0.1%
127.0276516021 3
 
0.1%
Other values (1942) 2133
97.9%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
126.5698172 1
< 0.1%
126.5772532 1
< 0.1%
126.597423 1
< 0.1%
126.6056622807 1
< 0.1%
126.6080277 1
< 0.1%
126.6107772 2
0.1%
126.617157451 1
< 0.1%
126.6198027 1
< 0.1%
126.622421 1
< 0.1%
126.6236325537 1
< 0.1%
ValueCountFrequency (%)
127.7499421098 1
< 0.1%
127.686826 2
0.1%
127.6697772 1
< 0.1%
127.6679182 1
< 0.1%
127.6585604347 1
< 0.1%
127.6534733221 1
< 0.1%
127.6503021381 1
< 0.1%
127.6484520808 1
< 0.1%
127.6483842 1
< 0.1%
127.648194 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct1794
Distinct (%)85.6%
Missing83
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean200680.34
Minimum161998.87
Maximum266225.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:54.699801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161998.87
5-th percentile177740.6
Q1184960.24
median201383.6
Q3210675.14
95-th percentile239702.99
Maximum266225.47
Range104226.61
Interquartile range (IQR)25714.902

Descriptive statistics

Standard deviation18221.064
Coefficient of variation (CV)0.090796457
Kurtosis0.76743524
Mean200680.34
Median Absolute Deviation (MAD)11386.012
Skewness0.77456285
Sum4.2042531 × 108
Variance3.3200716 × 108
MonotonicityNot monotonic
2023-12-11T06:40:54.837086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197381.23904888 8
 
0.4%
211425.052548627 5
 
0.2%
185295.084553074 5
 
0.2%
210776.048172188 4
 
0.2%
200646.555972731 4
 
0.2%
185238.250233791 4
 
0.2%
195384.811152746 4
 
0.2%
180948.368171416 4
 
0.2%
195504.751140429 4
 
0.2%
180031.642095533 4
 
0.2%
Other values (1784) 2049
94.1%
(Missing) 83
 
3.8%
ValueCountFrequency (%)
161998.866614421 1
 
< 0.1%
162652.235937101 1
 
< 0.1%
164928.662823482 1
 
< 0.1%
165616.558416617 2
0.1%
166139.388000448 1
 
< 0.1%
166610.484966631 1
 
< 0.1%
166714.986493674 1
 
< 0.1%
166728.39096648 3
0.1%
166766.735549725 1
 
< 0.1%
166806.143964 1
 
< 0.1%
ValueCountFrequency (%)
266225.474435412 1
< 0.1%
260829.225755134 2
0.1%
259306.615031565 1
< 0.1%
259257.163517016 1
< 0.1%
258349.150647687 1
< 0.1%
257871.991617111 1
< 0.1%
257696.190340743 1
< 0.1%
257465.927754181 2
0.1%
257448.645381842 1
< 0.1%
257093.398485554 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct1795
Distinct (%)85.7%
Missing83
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean436510.37
Minimum383960.78
Maximum523328.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:54.954469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383960.78
5-th percentile395806.53
Q1419603.79
median432628.89
Q3456207.99
95-th percentile478913.98
Maximum523328.52
Range139367.74
Interquartile range (IQR)36604.197

Descriptive statistics

Standard deviation23893.922
Coefficient of variation (CV)0.054738498
Kurtosis-0.27783073
Mean436510.37
Median Absolute Deviation (MAD)14324.286
Skewness0.25917708
Sum9.1448923 × 108
Variance5.7091953 × 108
MonotonicityNot monotonic
2023-12-11T06:40:55.108777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
414089.934281274 8
 
0.4%
424099.171349268 5
 
0.2%
434313.239466121 5
 
0.2%
432119.445439727 4
 
0.2%
431880.785795565 4
 
0.2%
461431.324488084 4
 
0.2%
413087.1652554 4
 
0.2%
462146.288336378 4
 
0.2%
483788.771221043 4
 
0.2%
422349.677753358 4
 
0.2%
Other values (1785) 2049
94.1%
(Missing) 83
 
3.8%
ValueCountFrequency (%)
383960.778503627 1
< 0.1%
383962.293404236 1
< 0.1%
384192.891034458 1
< 0.1%
384348.286808201 1
< 0.1%
384363.528773526 1
< 0.1%
384389.315624123 1
< 0.1%
384412.953724685 2
0.1%
384643.154363653 1
< 0.1%
384728.042131406 1
< 0.1%
386858.729174477 1
< 0.1%
ValueCountFrequency (%)
523328.520567836 1
< 0.1%
509992.042338438 1
< 0.1%
509889.048226863 1
< 0.1%
507281.922149446 1
< 0.1%
506785.194479371 1
< 0.1%
503049.466569402 1
< 0.1%
502218.736140231 1
< 0.1%
502207.499221056 1
< 0.1%
499710.090613351 1
< 0.1%
498352.118205123 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
국내여행업
2178 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 2178
100.0%

Length

2023-12-11T06:40:55.223630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:55.315778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 2178
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)2.9%
Missing1268
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean2.1978022
Minimum0
Maximum43
Zeros494
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:55.418033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10
Maximum43
Range43
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.1360786
Coefficient of variation (CV)1.8819157
Kurtosis25.513985
Mean2.1978022
Median Absolute Deviation (MAD)0
Skewness4.062516
Sum2000
Variance17.107146
MonotonicityNot monotonic
2023-12-11T06:40:55.550740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 494
 
22.7%
2 78
 
3.6%
1 77
 
3.5%
3 59
 
2.7%
4 51
 
2.3%
5 37
 
1.7%
6 28
 
1.3%
8 15
 
0.7%
7 14
 
0.6%
12 9
 
0.4%
Other values (16) 48
 
2.2%
(Missing) 1268
58.2%
ValueCountFrequency (%)
0 494
22.7%
1 77
 
3.5%
2 78
 
3.6%
3 59
 
2.7%
4 51
 
2.3%
5 37
 
1.7%
6 28
 
1.3%
7 14
 
0.6%
8 15
 
0.7%
9 9
 
0.4%
ValueCountFrequency (%)
43 1
< 0.1%
35 2
0.1%
34 1
< 0.1%
27 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
19 1
< 0.1%
18 2
0.1%
17 2
0.1%
16 1
< 0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1741 
기타
262 
주택가주변
 
74
아파트지역
 
60
유흥업소밀집지역
 
21
Other values (3)
 
20

Length

Max length8
Median length4
Mean length3.892562
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1741
79.9%
기타 262
 
12.0%
주택가주변 74
 
3.4%
아파트지역 60
 
2.8%
유흥업소밀집지역 21
 
1.0%
학교정화(상대) 10
 
0.5%
결혼예식장주변 8
 
0.4%
학교정화(절대) 2
 
0.1%

Length

2023-12-11T06:40:55.668023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:56.015640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1741
79.9%
기타 262
 
12.0%
주택가주변 74
 
3.4%
아파트지역 60
 
2.8%
유흥업소밀집지역 21
 
1.0%
학교정화(상대 10
 
0.5%
결혼예식장주변 8
 
0.4%
학교정화(절대 2
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)2.3%
Missing1275
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean1.7740864
Minimum0
Maximum36
Zeros501
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:56.146754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum36
Range36
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3709851
Coefficient of variation (CV)1.9001246
Kurtosis32.064338
Mean1.7740864
Median Absolute Deviation (MAD)0
Skewness4.4846325
Sum1602
Variance11.363541
MonotonicityNot monotonic
2023-12-11T06:40:56.273656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 501
 
23.0%
1 92
 
4.2%
2 83
 
3.8%
3 63
 
2.9%
4 53
 
2.4%
5 27
 
1.2%
6 20
 
0.9%
7 16
 
0.7%
8 15
 
0.7%
10 10
 
0.5%
Other values (11) 23
 
1.1%
(Missing) 1275
58.5%
ValueCountFrequency (%)
0 501
23.0%
1 92
 
4.2%
2 83
 
3.8%
3 63
 
2.9%
4 53
 
2.4%
5 27
 
1.2%
6 20
 
0.9%
7 16
 
0.7%
8 15
 
0.7%
9 8
 
0.4%
ValueCountFrequency (%)
36 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
22 1
 
< 0.1%
16 1
 
< 0.1%
15 2
0.1%
14 3
0.1%
12 1
 
< 0.1%
11 3
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.2%
Missing1424
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean0.4204244
Minimum0
Maximum10
Zeros577
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:56.391229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.35
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0004816
Coefficient of variation (CV)2.3796944
Kurtosis19.606804
Mean0.4204244
Median Absolute Deviation (MAD)0
Skewness3.7340226
Sum317
Variance1.0009634
MonotonicityNot monotonic
2023-12-11T06:40:56.504855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 577
26.5%
1 109
 
5.0%
2 30
 
1.4%
3 23
 
1.1%
5 6
 
0.3%
4 5
 
0.2%
6 2
 
0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 1424
65.4%
ValueCountFrequency (%)
0 577
26.5%
1 109
 
5.0%
2 30
 
1.4%
3 23
 
1.1%
4 5
 
0.2%
5 6
 
0.3%
6 2
 
0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
0.1%
5 6
 
0.3%
4 5
 
0.2%
3 23
 
1.1%
2 30
 
1.4%
1 109
 
5.0%
0 577
26.5%

객실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:56.659141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:56.796239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

영문상호주소
Categorical

IMBALANCE 

Distinct26
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
2067 
Domestic Travel Business
 
41
Domestic Travel Agency
 
25
Domestic travel business
 
5
DOMESTIC TRAVEL BUSINESS
 
4
Other values (21)
 
36

Length

Max length41
Median length4
Mean length4.9559229
Min length4

Unique

Unique13 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2067
94.9%
Domestic Travel Business 41
 
1.9%
Domestic Travel Agency 25
 
1.1%
Domestic travel business 5
 
0.2%
DOMESTIC TRAVEL BUSINESS 4
 
0.2%
DOMESTIC TRAVEL AGENCY 4
 
0.2%
Domestic Tourism 4
 
0.2%
Oversea Travel Agency 3
 
0.1%
Domestic tour agency 3
 
0.1%
DOMESTIC TOURIST AGENCY 3
 
0.1%
Other values (16) 19
 
0.9%

Length

2023-12-11T06:40:56.953593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2067
86.3%
domestic 101
 
4.2%
travel 94
 
3.9%
business 58
 
2.4%
agency 43
 
1.8%
tourism 8
 
0.3%
tour 6
 
0.3%
oversea 3
 
0.1%
tourist 3
 
0.1%
internal 3
 
0.1%
Other values (10) 10
 
0.4%

선박총톤수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:57.103883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:57.233365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

선박수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:57.368042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:57.468234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:57.570770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:57.672452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

좌석수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:57.773698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:57.875751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:57.984184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:58.076710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct528
Distinct (%)45.3%
Missing1012
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean124.00232
Minimum0
Maximum38382.79
Zeros380
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:58.179549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q366.5175
95-th percentile172.47
Maximum38382.79
Range38382.79
Interquartile range (IQR)66.5175

Descriptive statistics

Standard deviation1572.1302
Coefficient of variation (CV)12.678233
Kurtosis566.21774
Mean124.00232
Median Absolute Deviation (MAD)30
Skewness23.681168
Sum144586.7
Variance2471593.4
MonotonicityNot monotonic
2023-12-11T06:40:58.317651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 380
 
17.4%
33.0 24
 
1.1%
30.0 17
 
0.8%
20.0 14
 
0.6%
66.0 13
 
0.6%
99.0 10
 
0.5%
50.0 10
 
0.5%
10.0 8
 
0.4%
26.4 7
 
0.3%
49.0 7
 
0.3%
Other values (518) 676
31.0%
(Missing) 1012
46.5%
ValueCountFrequency (%)
0.0 380
17.4%
2.0 1
 
< 0.1%
3.3 5
 
0.2%
3.8 1
 
< 0.1%
4.95 1
 
< 0.1%
4.98 1
 
< 0.1%
5.76 1
 
< 0.1%
6.5 1
 
< 0.1%
6.6 3
 
0.1%
6.84 1
 
< 0.1%
ValueCountFrequency (%)
38382.79 1
< 0.1%
37188.75 1
< 0.1%
4454.47 1
< 0.1%
2029.0 1
< 0.1%
1703.0 1
< 0.1%
1133.0 1
< 0.1%
1127.0 1
< 0.1%
1018.0 1
< 0.1%
998.0 1
< 0.1%
975.76 1
< 0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
1577 
0
601 

Length

Max length4
Median length4
Mean length3.1721763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
72.4%
0 601
 
27.6%

Length

2023-12-11T06:40:58.448372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:58.544384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
72.4%
0 601
 
27.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct259
Distinct (%)14.4%
Missing374
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean2.3803468 × 108
Minimum0
Maximum2.249556 × 1011
Zeros125
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-11T06:40:58.646788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130000000
median50000000
Q31.138375 × 108
95-th percentile2 × 108
Maximum2.249556 × 1011
Range2.249556 × 1011
Interquartile range (IQR)83837500

Descriptive statistics

Standard deviation5.3521384 × 109
Coefficient of variation (CV)22.484701
Kurtosis1727.0924
Mean2.3803468 × 108
Median Absolute Deviation (MAD)35000000
Skewness41.218598
Sum4.2941455 × 1011
Variance2.8645386 × 1019
MonotonicityNot monotonic
2023-12-11T06:40:58.767286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 404
18.5%
150000000 283
13.0%
30000000 208
9.6%
100000000 149
 
6.8%
0 125
 
5.7%
15000000 112
 
5.1%
90000000 58
 
2.7%
200000000 47
 
2.2%
45000000 34
 
1.6%
20000000 16
 
0.7%
Other values (249) 368
16.9%
(Missing) 374
17.2%
ValueCountFrequency (%)
0 125
5.7%
1 1
 
< 0.1%
170000 1
 
< 0.1%
300000 1
 
< 0.1%
1600000 1
 
< 0.1%
3000000 2
 
0.1%
5000000 2
 
0.1%
6500000 1
 
< 0.1%
10000000 3
 
0.1%
15000000 112
5.1%
ValueCountFrequency (%)
224955600000 1
< 0.1%
32400000000 1
< 0.1%
4700000000 1
< 0.1%
3600000000 1
< 0.1%
3340446828 1
< 0.1%
2500000000 1
< 0.1%
2103968900 1
< 0.1%
2102610583 1
< 0.1%
1500000000 1
< 0.1%
1370600000 1
< 0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2178
Missing (%)100.0%
Memory size19.3 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무자본금부대시설내역
0가평군(주)월드투어201511272021081831등록취소<NA><NA><NA>12413경기도 가평군 가평읍 석봉로 188 (우진빌딩)경기도 가평군 가평읍 읍내리 508-81241337.83187127.510409<NA>244867.643758481157.357655국내여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA>100000000<NA>
1가평군(주)서희투어201402192019070231등록취소<NA>031-582-1116<NA>12416경기도 가평군 가평읍 석봉로77번길 31 (스카이25시)경기도 가평군 가평읍 대곡리 379-9번지1241637.822258127.510051<NA>244844.453485480096.670636국내여행업<NA><NA><NA><NA><NA>Domestic travel business<NA><NA><NA><NA><NA><NA><NA>16.5<NA><NA><NA><NA><NA><NA>100000000<NA>
2가평군(주)에코피아투어200609152014073131등록취소<NA><NA><NA>12419경기도 가평군 가평읍 가화로 104-1경기도 가평군 가평읍 읍내리 350-1번지47780537.828988127.5143<NA>245232.332361480858.203846국내여행업<NA>주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>158000000<NA>
3가평군K9여행사201710302019111831등록취소<NA><NA><NA>12452경기도 가평군 청평면 여울길 14경기도 가평군 청평면 청평리 432-20번지1245237.738163127.420862<NA>237033.724995470722.173488국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15000000<NA>
4가평군관광문화콘텐츠협동조합가치가20170831<NA>13영업중<NA>031-585-4267<NA>12421경기도 가평군 가평읍 자라섬로 11, 1동경기도 가평군 가평읍 대곡리 91-11242137.820045127.515328<NA>245297.433436479834.988768국내여행업0<NA>100<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA>17600000<NA>
5가평군레저K20191122<NA>13영업중<NA><NA><NA>12421경기도 가평군 가평읍 가화로 26-6, 2층경기도 가평군 가평읍 대곡리 202-31242137.821757127.516271<NA>245370.744036480027.5913국내여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA>15000600<NA>
6가평군유한회사 에이치제이레저개발20220411<NA>13영업중<NA><NA><NA>12461경기도 가평군 설악면 미사리로 267-293, 2층경기도 가평군 설악면 송산리 555-91246137.686494127.521776<NA>245935.062396465017.007377국내여행업3기타210<NA>00<NA>00<NA>0289.22<NA>0<NA><NA><NA><NA>3600000000<NA>
7가평군(재)효정국제문화재단20111025<NA>13영업중<NA>031-589-1706<NA>12461경기도 가평군 설악면 미사리로 278-64경기도 가평군 설악면 송산리 59547785537.681564127.52165<NA>245894.504988464492.636089국내여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA>347846560<NA>
8가평군(합)하나관광여행사20080917<NA>13영업중<NA><NA><NA>477806경기도 가평군 가평읍 태봉두밀로 2-41경기도 가평군 가평읍 상색리 171-27번지47780637.803851127.486693<NA>242796.665344478043.371918국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9가평군(주)가평고속관광20150127<NA>13영업중<NA><NA><NA>12426경기도 가평군 가평읍 태봉두밀로 2-41경기도 가평군 가평읍 상색리 171-2747780637.803983127.486664<NA>242796.665344478043.371918국내여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA>55000000<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무자본금부대시설내역
2168화성시(주)투어컨설팅20080613<NA>3폐업20211109031-224-4456<NA>18405경기도 화성시 효행로 1060, 이타운4 2층 202호 (병점동)경기도 화성시 병점동 844-3 이타운41840537.21435127.043178<NA>203760.122354412497.212229국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA>
2169화성시(주)한창고속관광여행사20131209<NA>3폐업20190314031-258-8811<NA>18324경기도 화성시 안녕북길 39-18 (안녕동)경기도 화성시 안녕동 180-5844538037.207396126.980899<NA>198237.897844411713.785161국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA>
2170화성시(주)동안관광여행사20021202<NA>3폐업20150701031-236-5989<NA><NA>경기도 화성시 안녕북길 22-4경기도 화성시 안녕동 188-41844538037.206654126.984499<NA>198542.028625411653.584814국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2171화성시(주)지에프홀딩스20071012<NA>3폐업20091125031-223-0036<NA><NA>경기도 화성시 효행로 211 (기안동)경기도 화성시 기안동 333-144531037.228339126.971579<NA>197381.239049414089.934281국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA>
2172<NA>(주)하나퍼스트20060710<NA>13영업중<NA><NA><NA><NA>서울특별시 도봉구 마들로 657, 205동 (방학동,이에스에이아파트)서울특별시 도봉구 방학동 718-7번지 이에스에이아파트 205동13285437.668576127.045465<NA>203946.218925462919.219463국내여행업<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA>
2173<NA>(주)주신에스알20070205<NA>13영업중<NA>02-711-5025<NA><NA>서울특별시 마포구 백범로15길 21 1층 (대흥동,골드빌딩)서울특별시 마포구 대흥동 163-1번지 골드빌딩 1층12180937.548397126.943031<NA>194901.295478449580.543628국내여행업6<NA>15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA>
2174<NA>주)가야관광여행사19990324<NA>13영업중<NA>032-326-2800<NA><NA>서울특별시 중구 서소문로11길 50 606호 (서소문동,신아빌딩)서울특별시 중구 서소문동 39-1번지 신아빌딩 606호10075237.564725126.97308<NA>197556.202947451393.885453국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2175<NA>(주)엔케이월드20020315<NA>3폐업20040521<NA><NA><NA>서울특별시 광진구 천호대로 544 (군자동)서울특별시 광진구 군자동 473-1814383837.557211127.078399<NA>206856.444064450552.294281국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2176<NA>(주) 한남여행사 중구지점20011019<NA>3폐업20100203<NA><NA><NA>서울특별시 중구 삼일대로 363 (장교동,장교빌딩)서울특별시 중구 장교동 1번지 장교빌딩10076037.567286126.986526<NA>198744.433229451677.065126국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA>
2177<NA>사계절모두투어20070125<NA>2휴업<NA><NA><NA><NA>서울특별시 송파구 올림픽로 595-1, 2층동 1호호 (풍납동)서울특별시 송파구 풍납동 490-2번지 2층동 1호호13887337.534927127.121736<NA>210695.253724448091.494028국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수무대면적좌석수회의실동시수용인원수시설면적놀이시설수자본금# duplicates
0안산시(주)한서여행사19961217<NA>3폐업19990428<NA>15360경기도 안산시 단원구 고잔로 76, 1108호 (고잔동,영풍프라자)경기도 안산시 단원구 고잔동 533-3번지 영풍프라자 1108호42586837.318699126.834854185295.084553424099.171349국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>28.46<NA>1500000002