Overview

Dataset statistics

Number of variables40
Number of observations3109
Missing cells46752
Missing cells (%)37.6%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.0 MiB
Average record size in memory346.0 B

Variable types

Categorical11
Text7
DateTime3
Numeric9
Unsupported10

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
주변환경명 is highly imbalanced (66.4%)Imbalance
인허가취소일자 has 2990 (96.2%) missing valuesMissing
폐업일자 has 1675 (53.9%) missing valuesMissing
소재지시설전화번호 has 1337 (43.0%) missing valuesMissing
소재지면적정보 has 3109 (100.0%) missing valuesMissing
도로명우편번호 has 846 (27.2%) missing valuesMissing
소재지도로명주소 has 56 (1.8%) missing valuesMissing
업태구분명정보 has 3109 (100.0%) missing valuesMissing
X좌표값 has 101 (3.2%) missing valuesMissing
Y좌표값 has 101 (3.2%) missing valuesMissing
총층수 has 1461 (47.0%) missing valuesMissing
지상층수 has 1462 (47.0%) missing valuesMissing
지하층수 has 1617 (52.0%) missing valuesMissing
영문상호주소 has 2861 (92.0%) missing valuesMissing
선박제원내용 has 3109 (100.0%) missing valuesMissing
기념품종류명 has 3109 (100.0%) missing valuesMissing
시설면적 has 1136 (36.5%) missing valuesMissing
놀이기구수내역 has 3109 (100.0%) missing valuesMissing
방송시설유무 has 3109 (100.0%) missing valuesMissing
발전시설유무 has 3109 (100.0%) missing valuesMissing
의무실유무 has 3109 (100.0%) missing valuesMissing
안내소유무 has 3109 (100.0%) missing valuesMissing
부대시설내역 has 3109 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 37.2180585)Skewed
시설면적 is highly skewed (γ1 = 24.21072375)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 1121 (36.1%) zerosZeros
지상층수 has 1120 (36.0%) zerosZeros
지하층수 has 1250 (40.2%) zerosZeros
시설면적 has 872 (28.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:04:35.724928
Analysis finished2023-12-10 21:04:37.226575
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
고양시
387 
성남시
371 
수원시
345 
부천시
210 
안양시
195 
Other values (27)
1601 

Length

Max length4
Median length3
Mean length3.0678675
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 387
12.4%
성남시 371
11.9%
수원시 345
 
11.1%
부천시 210
 
6.8%
안양시 195
 
6.3%
용인시 169
 
5.4%
안산시 167
 
5.4%
화성시 139
 
4.5%
평택시 124
 
4.0%
파주시 112
 
3.6%
Other values (22) 890
28.6%

Length

2023-12-11T06:04:37.294754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 387
12.4%
성남시 371
11.9%
수원시 345
 
11.1%
부천시 210
 
6.8%
안양시 195
 
6.3%
용인시 169
 
5.4%
안산시 167
 
5.4%
화성시 139
 
4.5%
평택시 124
 
4.0%
파주시 112
 
3.6%
Other values (22) 890
28.6%

사업장명
Text

Distinct2836
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2023-12-11T06:04:37.608809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length7.8819556
Min length2

Characters and Unicode

Total characters24505
Distinct characters669
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2618 ?
Unique (%)84.2%

Sample

1st row주식회사 에코피아투어
2nd row(주)월드투어
3rd row(주)서희투어
4th row(합)뉴 하나관광여행사
5th row주식회사 제이디트래블
ValueCountFrequency (%)
주식회사 366
 
9.2%
여행사 76
 
1.9%
투어 58
 
1.5%
주 56
 
1.4%
tour 29
 
0.7%
우리여행사 12
 
0.3%
여행 10
 
0.3%
글로벌 8
 
0.2%
항공 7
 
0.2%
트래블 7
 
0.2%
Other values (2940) 3328
84.1%
2023-12-11T06:04:38.191243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1812
 
7.4%
) 1496
 
6.1%
( 1457
 
5.9%
사 1356
 
5.5%
행 1156
 
4.7%
여 1150
 
4.7%
어 1002
 
4.1%
투 963
 
3.9%
850
 
3.5%
이 488
 
2.0%
Other values (659) 12775
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19664
80.2%
Close Punctuation 1496
 
6.1%
Open Punctuation 1457
 
5.9%
Space Separator 850
 
3.5%
Uppercase Letter 608
 
2.5%
Lowercase Letter 315
 
1.3%
Decimal Number 71
 
0.3%
Other Punctuation 33
 
0.1%
Dash Punctuation 9
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1812
 
9.2%
사 1356
 
6.9%
행 1156
 
5.9%
여 1150
 
5.8%
어 1002
 
5.1%
투 963
 
4.9%
이 488
 
2.5%
스 418
 
2.1%
회 395
 
2.0%
식 383
 
1.9%
Other values (592) 10541
53.6%
Uppercase Letter
ValueCountFrequency (%)
T 74
 
12.2%
R 52
 
8.6%
O 50
 
8.2%
E 44
 
7.2%
U 41
 
6.7%
A 35
 
5.8%
S 33
 
5.4%
N 29
 
4.8%
M 26
 
4.3%
G 24
 
3.9%
Other values (15) 200
32.9%
Lowercase Letter
ValueCountFrequency (%)
o 46
14.6%
e 42
13.3%
r 39
12.4%
a 29
9.2%
u 22
 
7.0%
n 18
 
5.7%
l 16
 
5.1%
t 16
 
5.1%
i 14
 
4.4%
m 10
 
3.2%
Other values (13) 63
20.0%
Decimal Number
ValueCountFrequency (%)
1 14
19.7%
0 13
18.3%
2 10
14.1%
3 10
14.1%
5 9
12.7%
6 7
9.9%
7 3
 
4.2%
9 3
 
4.2%
8 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 20
60.6%
& 6
 
18.2%
: 4
 
12.1%
, 2
 
6.1%
· 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 1496
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1457
100.0%
Space Separator
ValueCountFrequency (%)
850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19664
80.2%
Common 3916
 
16.0%
Latin 923
 
3.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1812
 
9.2%
사 1356
 
6.9%
행 1156
 
5.9%
여 1150
 
5.8%
어 1002
 
5.1%
투 963
 
4.9%
이 488
 
2.5%
스 418
 
2.1%
회 395
 
2.0%
식 383
 
1.9%
Other values (591) 10541
53.6%
Latin
ValueCountFrequency (%)
T 74
 
8.0%
R 52
 
5.6%
O 50
 
5.4%
o 46
 
5.0%
E 44
 
4.8%
e 42
 
4.6%
U 41
 
4.4%
r 39
 
4.2%
A 35
 
3.8%
S 33
 
3.6%
Other values (38) 467
50.6%
Common
ValueCountFrequency (%)
) 1496
38.2%
( 1457
37.2%
850
21.7%
. 20
 
0.5%
1 14
 
0.4%
0 13
 
0.3%
2 10
 
0.3%
3 10
 
0.3%
5 9
 
0.2%
- 9
 
0.2%
Other values (8) 28
 
0.7%
Han
ValueCountFrequency (%)
好 1
50.0%
情 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19661
80.2%
ASCII 4838
 
19.7%
None 3
 
< 0.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1812
 
9.2%
사 1356
 
6.9%
행 1156
 
5.9%
여 1150
 
5.8%
어 1002
 
5.1%
투 963
 
4.9%
이 488
 
2.5%
스 418
 
2.1%
회 395
 
2.0%
식 383
 
1.9%
Other values (589) 10538
53.6%
ASCII
ValueCountFrequency (%)
) 1496
30.9%
( 1457
30.1%
850
17.6%
T 74
 
1.5%
R 52
 
1.1%
O 50
 
1.0%
o 46
 
1.0%
E 44
 
0.9%
e 42
 
0.9%
U 41
 
0.8%
Other values (55) 686
14.2%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%
CJK
ValueCountFrequency (%)
好 1
50.0%
情 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

인허가일자
Date

Distinct2278
Distinct (%)73.3%
Missing1
Missing (%)< 0.1%
Memory size24.4 KiB
Minimum1982-11-10 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:04:38.358584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:38.536430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct81
Distinct (%)68.1%
Missing2990
Missing (%)96.2%
Memory size24.4 KiB
Minimum2003-12-29 00:00:00
Maximum2021-11-08 00:00:00
2023-12-11T06:04:38.704896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:38.868338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9437118
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:39.014347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1612506
Coefficient of variation (CV)0.72017882
Kurtosis1.8597669
Mean9.9437118
Median Absolute Deviation (MAD)2
Skewness1.1452149
Sum30915
Variance51.28351
MonotonicityNot monotonic
2023-12-11T06:04:39.145547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1459
46.9%
3 1263
40.6%
15 179
 
5.8%
31 131
 
4.2%
2 33
 
1.1%
35 19
 
0.6%
30 18
 
0.6%
25 4
 
0.1%
14 3
 
0.1%
ValueCountFrequency (%)
2 33
 
1.1%
3 1263
40.6%
13 1459
46.9%
14 3
 
0.1%
15 179
 
5.8%
25 4
 
0.1%
30 18
 
0.6%
31 131
 
4.2%
35 19
 
0.6%
ValueCountFrequency (%)
35 19
 
0.6%
31 131
 
4.2%
30 18
 
0.6%
25 4
 
0.1%
15 179
 
5.8%
14 3
 
0.1%
13 1459
46.9%
3 1263
40.6%
2 33
 
1.1%

영업상태명
Categorical

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
영업중
1459 
폐업
1263 
전출
179 
등록취소
 
131
휴업
 
33
Other values (4)
 
44

Length

Max length4
Median length3
Mean length2.5799292
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1459
46.9%
폐업 1263
40.6%
전출 179
 
5.8%
등록취소 131
 
4.2%
휴업 33
 
1.1%
직권말소 19
 
0.6%
허가취소 18
 
0.6%
영업정지 4
 
0.1%
전입 3
 
0.1%

Length

2023-12-11T06:04:39.319717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:39.460194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1459
46.9%
폐업 1263
40.6%
전출 179
 
5.8%
등록취소 131
 
4.2%
휴업 33
 
1.1%
직권말소 19
 
0.6%
허가취소 18
 
0.6%
영업정지 4
 
0.1%
전입 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1209
Distinct (%)84.3%
Missing1675
Missing (%)53.9%
Memory size24.4 KiB
Minimum1997-03-08 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:04:39.608294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:39.751915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct1707
Distinct (%)96.3%
Missing1337
Missing (%)43.0%
Memory size24.4 KiB
2023-12-11T06:04:40.005108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.141084
Min length3

Characters and Unicode

Total characters19742
Distinct characters22
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1645 ?
Unique (%)92.8%

Sample

1st row031-582-1116
2nd row031-582-0433
3rd row031-580-5810
4th row031-581-8338
5th row1533-5411
ValueCountFrequency (%)
031 34
 
1.8%
070 7
 
0.4%
031-394-7200 3
 
0.2%
031-668-1004 3
 
0.2%
031-695-6086 3
 
0.2%
02 3
 
0.2%
031-551-1540 2
 
0.1%
031-206-0202 2
 
0.1%
856-1001 2
 
0.1%
5020950 2
 
0.1%
Other values (1734) 1791
96.7%
2023-12-11T06:04:40.424368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3070
15.6%
- 2789
14.1%
1 2384
12.1%
3 2352
11.9%
2 1636
8.3%
7 1508
7.6%
8 1279
6.5%
5 1259
6.4%
6 1190
 
6.0%
4 1178
 
6.0%
Other values (12) 1097
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16826
85.2%
Dash Punctuation 2789
 
14.1%
Space Separator 86
 
0.4%
Close Punctuation 21
 
0.1%
Other Punctuation 11
 
0.1%
Math Symbol 5
 
< 0.1%
Other Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3070
18.2%
1 2384
14.2%
3 2352
14.0%
2 1636
9.7%
7 1508
9.0%
8 1279
7.6%
5 1259
7.5%
6 1190
 
7.1%
4 1178
 
7.0%
9 970
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
. 1
 
9.1%
' 1
 
9.1%
/ 1
 
9.1%
Other Letter
ValueCountFrequency (%)
민 1
33.3%
경 1
33.3%
자 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2789
100.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19739
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3070
15.6%
- 2789
14.1%
1 2384
12.1%
3 2352
11.9%
2 1636
8.3%
7 1508
7.6%
8 1279
6.5%
5 1259
6.4%
6 1190
 
6.0%
4 1178
 
6.0%
Other values (9) 1094
 
5.5%
Hangul
ValueCountFrequency (%)
민 1
33.3%
경 1
33.3%
자 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19739
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3070
15.6%
- 2789
14.1%
1 2384
12.1%
3 2352
11.9%
2 1636
8.3%
7 1508
7.6%
8 1279
6.5%
5 1259
6.4%
6 1190
 
6.0%
4 1178
 
6.0%
Other values (9) 1094
 
5.5%
Hangul
ValueCountFrequency (%)
민 1
33.3%
경 1
33.3%
자 1
33.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

도로명우편번호
Text

MISSING 

Distinct1205
Distinct (%)53.2%
Missing846
Missing (%)27.2%
Memory size24.4 KiB
2023-12-11T06:04:40.812773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0888202
Min length5

Characters and Unicode

Total characters11516
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

Unique780 ?
Unique (%)34.5%

Sample

1st row477805
2nd row12413
3rd row12416
4th row12463
5th row12417
ValueCountFrequency (%)
14548 26
 
1.1%
13595 19
 
0.8%
13506 16
 
0.7%
10414 14
 
0.6%
15865 14
 
0.6%
10401 14
 
0.6%
13590 13
 
0.6%
13591 13
 
0.6%
10402 12
 
0.5%
15360 12
 
0.5%
Other values (1195) 2110
93.2%
2023-12-11T06:04:41.306891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2921
25.4%
4 1352
11.7%
0 1165
 
10.1%
5 1129
 
9.8%
6 961
 
8.3%
3 934
 
8.1%
2 803
 
7.0%
8 784
 
6.8%
7 740
 
6.4%
9 716
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11505
99.9%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2921
25.4%
4 1352
11.8%
0 1165
 
10.1%
5 1129
 
9.8%
6 961
 
8.4%
3 934
 
8.1%
2 803
 
7.0%
8 784
 
6.8%
7 740
 
6.4%
9 716
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2921
25.4%
4 1352
11.7%
0 1165
 
10.1%
5 1129
 
9.8%
6 961
 
8.3%
3 934
 
8.1%
2 803
 
7.0%
8 784
 
6.8%
7 740
 
6.4%
9 716
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2921
25.4%
4 1352
11.7%
0 1165
 
10.1%
5 1129
 
9.8%
6 961
 
8.3%
3 934
 
8.1%
2 803
 
7.0%
8 784
 
6.8%
7 740
 
6.4%
9 716
 
6.2%

소재지도로명주소
Text

MISSING 

Distinct2962
Distinct (%)97.0%
Missing56
Missing (%)1.8%
Memory size24.4 KiB
2023-12-11T06:04:41.642529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length34.05077
Min length14

Characters and Unicode

Total characters103957
Distinct characters573
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2878 ?
Unique (%)94.3%

Sample

1st row경기도 가평군 가평읍 가화로 104-1
2nd row경기도 가평군 가평읍 석봉로 188 (우진빌딩)
3rd row경기도 가평군 가평읍 석봉로77번길 31 (스카이25시)
4th row경기도 가평군 설악면 한서로 379
5th row경기도 가평군 가평읍 향교로27번길 5, 1층
ValueCountFrequency (%)
경기도 3047
 
14.3%
고양시 382
 
1.8%
성남시 365
 
1.7%
수원시 340
 
1.6%
분당구 261
 
1.2%
2층 221
 
1.0%
부천시 207
 
1.0%
안양시 195
 
0.9%
1층 192
 
0.9%
안산시 164
 
0.8%
Other values (5056) 15923
74.8%
2023-12-11T06:04:42.129080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18670
 
18.0%
1 3870
 
3.7%
동 3624
 
3.5%
시 3249
 
3.1%
경 3204
 
3.1%
기 3199
 
3.1%
도 3125
 
3.0%
로 3021
 
2.9%
, 2992
 
2.9%
( 2825
 
2.7%
Other values (563) 56178
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58145
55.9%
Space Separator 18670
 
18.0%
Decimal Number 17325
 
16.7%
Other Punctuation 3009
 
2.9%
Open Punctuation 2825
 
2.7%
Close Punctuation 2824
 
2.7%
Dash Punctuation 646
 
0.6%
Uppercase Letter 451
 
0.4%
Lowercase Letter 53
 
0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3624
 
6.2%
시 3249
 
5.6%
경 3204
 
5.5%
기 3199
 
5.5%
도 3125
 
5.4%
로 3021
 
5.2%
호 1904
 
3.3%
구 1776
 
3.1%
양 1152
 
2.0%
길 935
 
1.6%
Other values (497) 32956
56.7%
Uppercase Letter
ValueCountFrequency (%)
B 80
17.7%
A 67
14.9%
C 43
9.5%
I 42
9.3%
T 33
 
7.3%
E 24
 
5.3%
S 22
 
4.9%
G 17
 
3.8%
D 15
 
3.3%
R 14
 
3.1%
Other values (14) 94
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 12
22.6%
r 7
13.2%
t 6
11.3%
c 4
 
7.5%
o 4
 
7.5%
w 3
 
5.7%
b 3
 
5.7%
n 2
 
3.8%
p 2
 
3.8%
u 2
 
3.8%
Other values (6) 8
15.1%
Decimal Number
ValueCountFrequency (%)
1 3870
22.3%
2 2635
15.2%
0 2166
12.5%
3 1878
10.8%
4 1511
 
8.7%
5 1273
 
7.3%
6 1138
 
6.6%
7 1113
 
6.4%
9 895
 
5.2%
8 846
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 2992
99.4%
. 6
 
0.2%
& 6
 
0.2%
/ 2
 
0.1%
: 1
 
< 0.1%
? 1
 
< 0.1%
？ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
∥ 1
33.3%
Space Separator
ValueCountFrequency (%)
18670
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2825
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2824
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58145
55.9%
Common 45302
43.6%
Latin 510
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3624
 
6.2%
시 3249
 
5.6%
경 3204
 
5.5%
기 3199
 
5.5%
도 3125
 
5.4%
로 3021
 
5.2%
호 1904
 
3.3%
구 1776
 
3.1%
양 1152
 
2.0%
길 935
 
1.6%
Other values (497) 32956
56.7%
Latin
ValueCountFrequency (%)
B 80
15.7%
A 67
13.1%
C 43
 
8.4%
I 42
 
8.2%
T 33
 
6.5%
E 24
 
4.7%
S 22
 
4.3%
G 17
 
3.3%
D 15
 
2.9%
R 14
 
2.7%
Other values (33) 153
30.0%
Common
ValueCountFrequency (%)
18670
41.2%
1 3870
 
8.5%
, 2992
 
6.6%
( 2825
 
6.2%
) 2824
 
6.2%
2 2635
 
5.8%
0 2166
 
4.8%
3 1878
 
4.1%
4 1511
 
3.3%
5 1273
 
2.8%
Other values (13) 4658
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58145
55.9%
ASCII 45804
44.1%
Number Forms 6
 
< 0.1%
None 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18670
40.8%
1 3870
 
8.4%
, 2992
 
6.5%
( 2825
 
6.2%
) 2824
 
6.2%
2 2635
 
5.8%
0 2166
 
4.7%
3 1878
 
4.1%
4 1511
 
3.3%
5 1273
 
2.8%
Other values (51) 5160
 
11.3%
Hangul
ValueCountFrequency (%)
동 3624
 
6.2%
시 3249
 
5.6%
경 3204
 
5.5%
기 3199
 
5.5%
도 3125
 
5.4%
로 3021
 
5.2%
호 1904
 
3.3%
구 1776
 
3.1%
양 1152
 
2.0%
길 935
 
1.6%
Other values (497) 32956
56.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
None
ValueCountFrequency (%)
？ 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

Distinct2938
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2023-12-11T06:04:42.423010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length26.440978
Min length11

Characters and Unicode

Total characters82205
Distinct characters533
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2799 ?
Unique (%)90.0%

Sample

1st row경기도 가평군 가평읍 읍내리 350-1번지
2nd row경기도 가평군 가평읍 읍내리 508-8
3rd row경기도 가평군 가평읍 대곡리 379-9번지
4th row경기도 가평군 설악면 위곡리 195-2
5th row경기도 가평군 가평읍 읍내리 555
ValueCountFrequency (%)
경기도 3102
 
17.6%
고양시 387
 
2.2%
성남시 371
 
2.1%
수원시 345
 
2.0%
분당구 262
 
1.5%
부천시 212
 
1.2%
안양시 195
 
1.1%
용인시 170
 
1.0%
안산시 167
 
0.9%
일산동구 164
 
0.9%
Other values (4889) 12269
69.5%
2023-12-11T06:04:43.101014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16110
 
19.6%
동 3420
 
4.2%
1 3415
 
4.2%
기 3217
 
3.9%
시 3217
 
3.9%
도 3161
 
3.8%
경 3120
 
3.8%
- 2301
 
2.8%
2 2101
 
2.6%
구 1774
 
2.2%
Other values (523) 40369
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47088
57.3%
Decimal Number 16261
 
19.8%
Space Separator 16110
 
19.6%
Dash Punctuation 2301
 
2.8%
Uppercase Letter 305
 
0.4%
Lowercase Letter 46
 
0.1%
Other Punctuation 45
 
0.1%
Open Punctuation 21
 
< 0.1%
Close Punctuation 20
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3420
 
7.3%
기 3217
 
6.8%
시 3217
 
6.8%
도 3161
 
6.7%
경 3120
 
6.6%
구 1774
 
3.8%
지 1455
 
3.1%
번 1256
 
2.7%
호 1125
 
2.4%
양 1093
 
2.3%
Other values (457) 24250
51.5%
Uppercase Letter
ValueCountFrequency (%)
B 44
14.4%
A 38
12.5%
I 34
11.1%
C 27
 
8.9%
T 23
 
7.5%
E 17
 
5.6%
S 16
 
5.2%
K 13
 
4.3%
R 11
 
3.6%
D 11
 
3.6%
Other values (14) 71
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
21.7%
r 7
15.2%
t 5
10.9%
o 4
 
8.7%
w 3
 
6.5%
c 3
 
6.5%
p 2
 
4.3%
s 2
 
4.3%
a 2
 
4.3%
u 2
 
4.3%
Other values (5) 6
13.0%
Decimal Number
ValueCountFrequency (%)
1 3415
21.0%
2 2101
12.9%
0 1717
10.6%
3 1681
10.3%
4 1527
9.4%
5 1396
8.6%
6 1273
 
7.8%
7 1197
 
7.4%
8 988
 
6.1%
9 966
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 29
64.4%
& 5
 
11.1%
/ 3
 
6.7%
. 3
 
6.7%
: 2
 
4.4%
@ 1
 
2.2%
? 1
 
2.2%
？ 1
 
2.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
∥ 1
50.0%
Space Separator
ValueCountFrequency (%)
16110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47088
57.3%
Common 34760
42.3%
Latin 357
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3420
 
7.3%
기 3217
 
6.8%
시 3217
 
6.8%
도 3161
 
6.7%
경 3120
 
6.6%
구 1774
 
3.8%
지 1455
 
3.1%
번 1256
 
2.7%
호 1125
 
2.4%
양 1093
 
2.3%
Other values (457) 24250
51.5%
Latin
ValueCountFrequency (%)
B 44
 
12.3%
A 38
 
10.6%
I 34
 
9.5%
C 27
 
7.6%
T 23
 
6.4%
E 17
 
4.8%
S 16
 
4.5%
K 13
 
3.6%
R 11
 
3.1%
D 11
 
3.1%
Other values (32) 123
34.5%
Common
ValueCountFrequency (%)
16110
46.3%
1 3415
 
9.8%
- 2301
 
6.6%
2 2101
 
6.0%
0 1717
 
4.9%
3 1681
 
4.8%
4 1527
 
4.4%
5 1396
 
4.0%
6 1273
 
3.7%
7 1197
 
3.4%
Other values (14) 2042
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47088
57.3%
ASCII 35109
42.7%
Number Forms 6
 
< 0.1%
Math Operators 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16110
45.9%
1 3415
 
9.7%
- 2301
 
6.6%
2 2101
 
6.0%
0 1717
 
4.9%
3 1681
 
4.8%
4 1527
 
4.3%
5 1396
 
4.0%
6 1273
 
3.6%
7 1197
 
3.4%
Other values (51) 2391
 
6.8%
Hangul
ValueCountFrequency (%)
동 3420
 
7.3%
기 3217
 
6.8%
시 3217
 
6.8%
도 3161
 
6.7%
경 3120
 
6.6%
구 1774
 
3.8%
지 1455
 
3.1%
번 1256
 
2.7%
호 1125
 
2.4%
양 1093
 
2.3%
Other values (457) 24250
51.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

소재지우편번호
Text

Distinct1679
Distinct (%)54.0%
Missing2
Missing (%)0.1%
Memory size24.4 KiB
2023-12-11T06:04:43.411171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5210814
Min length5

Characters and Unicode

Total characters17154
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

Unique1081 ?
Unique (%)34.8%

Sample

1st row477805
2nd row12413
3rd row12416
4th row477855
5th row12417
ValueCountFrequency (%)
410837 28
 
0.9%
14548 24
 
0.8%
442834 17
 
0.5%
463824 16
 
0.5%
13506 16
 
0.5%
10401 15
 
0.5%
13595 15
 
0.5%
10414 14
 
0.5%
463825 14
 
0.5%
13591 13
 
0.4%
Other values (1669) 2935
94.5%
2023-12-11T06:04:43.877284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3120
18.2%
4 3024
17.6%
0 1882
11.0%
8 1761
10.3%
2 1464
8.5%
3 1417
8.3%
5 1329
7.7%
6 1258
7.3%
7 919
 
5.4%
9 827
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17001
99.1%
Dash Punctuation 153
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3120
18.4%
4 3024
17.8%
0 1882
11.1%
8 1761
10.4%
2 1464
8.6%
3 1417
8.3%
5 1329
7.8%
6 1258
7.4%
7 919
 
5.4%
9 827
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17154
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3120
18.2%
4 3024
17.6%
0 1882
11.0%
8 1761
10.3%
2 1464
8.5%
3 1417
8.3%
5 1329
7.7%
6 1258
7.3%
7 919
 
5.4%
9 827
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17154
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3120
18.2%
4 3024
17.6%
0 1882
11.0%
8 1761
10.3%
2 1464
8.5%
3 1417
8.3%
5 1329
7.7%
6 1258
7.3%
7 919
 
5.4%
9 827
 
4.8%

WGS84위도
Real number (ℝ)

Distinct2620
Distinct (%)84.5%
Missing8
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.43622
Minimum36.952437
Maximum38.097296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:44.029642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.952437
5-th percentile37.067794
Q137.290627
median37.397883
Q337.630106
95-th percentile37.760632
Maximum38.097296
Range1.1448593
Interquartile range (IQR)0.33947911

Descriptive statistics

Standard deviation0.2061147
Coefficient of variation (CV)0.0055057563
Kurtosis-0.36649518
Mean37.43622
Median Absolute Deviation (MAD)0.12971308
Skewness0.12090747
Sum116089.72
Variance0.042483271
MonotonicityNot monotonic
2023-12-11T06:04:44.166822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3888656 8
 
0.3%
37.3923317778 7
 
0.2%
37.2283389155 6
 
0.2%
37.7166149612 6
 
0.2%
37.26888797 6
 
0.2%
37.3031494595 5
 
0.2%
37.3849087523 5
 
0.2%
37.6403834 5
 
0.2%
37.6685431 5
 
0.2%
37.3864541305 5
 
0.2%
Other values (2610) 3043
97.9%
(Missing) 8
 
0.3%
ValueCountFrequency (%)
36.952437 1
< 0.1%
36.9570518 1
< 0.1%
36.9571663 1
< 0.1%
36.9573612605 1
< 0.1%
36.9587707063 1
< 0.1%
36.9592475 1
< 0.1%
36.9592702 2
0.1%
36.959859 1
< 0.1%
36.9607203994 1
< 0.1%
36.96091 1
< 0.1%
ValueCountFrequency (%)
38.0972962527 1
< 0.1%
38.091541132 1
< 0.1%
38.0900882 1
< 0.1%
38.0888845813 1
< 0.1%
38.0531278393 1
< 0.1%
38.0298382 1
< 0.1%
37.978600031 1
< 0.1%
37.9762089 1
< 0.1%
37.9581482 1
< 0.1%
37.9577454468 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct2620
Distinct (%)84.5%
Missing8
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean126.98965
Minimum126.56212
Maximum127.68683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:44.332813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56212
5-th percentile126.74856
Q1126.81089
median127.00931
Q3127.11181
95-th percentile127.27365
Maximum127.68683
Range1.124702
Interquartile range (IQR)0.30092302

Descriptive statistics

Standard deviation0.18870199
Coefficient of variation (CV)0.0014859635
Kurtosis0.67457375
Mean126.98965
Median Absolute Deviation (MAD)0.12901246
Skewness0.61156983
Sum393794.92
Variance0.035608442
MonotonicityNot monotonic
2023-12-11T06:04:44.473265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1224312 8
 
0.3%
126.9565123356 7
 
0.2%
126.9715794307 6
 
0.2%
126.7603823786 6
 
0.2%
127.0059781882 6
 
0.2%
127.0080560562 5
 
0.2%
127.1246741102 5
 
0.2%
126.7864895 5
 
0.2%
126.7654053 5
 
0.2%
127.1259428935 5
 
0.2%
Other values (2610) 3043
97.9%
(Missing) 8
 
0.3%
ValueCountFrequency (%)
126.5621240298 1
 
< 0.1%
126.597423 1
 
< 0.1%
126.5990556 1
 
< 0.1%
126.6181342096 4
0.1%
126.6209855 1
 
< 0.1%
126.6209865734 1
 
< 0.1%
126.622421 1
 
< 0.1%
126.6236624541 1
 
< 0.1%
126.623667 1
 
< 0.1%
126.6241419 2
0.1%
ValueCountFrequency (%)
127.686826 2
0.1%
127.6697772 1
< 0.1%
127.6679182 1
< 0.1%
127.6575056308 1
< 0.1%
127.6503859 1
< 0.1%
127.6484520808 1
< 0.1%
127.6483842 1
< 0.1%
127.6446318 1
< 0.1%
127.6407297023 1
< 0.1%
127.6371426827 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct2396
Distinct (%)79.7%
Missing101
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean198968.32
Minimum161101.97
Maximum260829.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:44.613756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161101.97
5-th percentile177736.43
Q1183093.02
median200781.26
Q3209761.43
95-th percentile224247.03
Maximum260829.23
Range99727.261
Interquartile range (IQR)26668.408

Descriptive statistics

Standard deviation16693.803
Coefficient of variation (CV)0.083901811
Kurtosis0.73448234
Mean198968.32
Median Absolute Deviation (MAD)11329.565
Skewness0.63325964
Sum5.9849671 × 108
Variance2.7868304 × 108
MonotonicityNot monotonic
2023-12-11T06:04:44.802507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210776.048172188 11
 
0.4%
196080.532197962 9
 
0.3%
211080.60836251 8
 
0.3%
211377.170501777 7
 
0.2%
211425.052548627 7
 
0.2%
211426.820391674 6
 
0.2%
197818.111875523 6
 
0.2%
178804.224364993 6
 
0.2%
195428.639895001 6
 
0.2%
179238.725261115 5
 
0.2%
Other values (2386) 2937
94.5%
(Missing) 101
 
3.2%
ValueCountFrequency (%)
161101.965185962 1
 
< 0.1%
164566.184340051 1
 
< 0.1%
166214.893825482 4
0.1%
166473.491282851 1
 
< 0.1%
166479.424635633 1
 
< 0.1%
166610.484966631 1
 
< 0.1%
166726.482425517 1
 
< 0.1%
166728.39096648 1
 
< 0.1%
166766.735549725 2
0.1%
166838.78 3
0.1%
ValueCountFrequency (%)
260829.225755134 2
0.1%
259306.615031565 1
< 0.1%
259257.163517016 1
< 0.1%
258239.717994096 1
< 0.1%
257696.190340743 1
< 0.1%
257465.927754181 2
0.1%
257093.398485554 1
< 0.1%
256746.147888562 1
< 0.1%
256448.248498212 2
0.1%
256424.143938024 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct2396
Distinct (%)79.7%
Missing101
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean437205.25
Minimum383448.08
Maximum510498.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:44.959009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383448.08
5-th percentile396320.27
Q1420907.89
median432876.93
Q3458914.38
95-th percentile473208.03
Maximum510498.84
Range127050.77
Interquartile range (IQR)38006.497

Descriptive statistics

Standard deviation22966.168
Coefficient of variation (CV)0.052529489
Kurtosis-0.38007992
Mean437205.25
Median Absolute Deviation (MAD)14459.564
Skewness0.12339188
Sum1.3151134 × 109
Variance5.2744488 × 108
MonotonicityNot monotonic
2023-12-11T06:04:45.115439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431880.785795565 11
 
0.4%
432244.867412549 9
 
0.3%
431604.759204645 8
 
0.3%
434235.718610669 7
 
0.2%
434313.239466121 7
 
0.2%
434400.525152819 6
 
0.2%
432045.441116327 6
 
0.2%
433137.578437473 6
 
0.2%
468269.565890856 6
 
0.2%
430829.13726498 5
 
0.2%
Other values (2386) 2937
94.5%
(Missing) 101
 
3.2%
ValueCountFrequency (%)
383448.07714525 1
< 0.1%
383960.778503627 2
0.1%
383962.293404236 1
< 0.1%
384139.276236898 1
< 0.1%
384192.891034458 1
< 0.1%
384207.446903734 2
0.1%
384272.774220744 1
< 0.1%
384348.286808201 1
< 0.1%
384389.315624123 1
< 0.1%
384666.34024193 1
< 0.1%
ValueCountFrequency (%)
510498.842355602 1
< 0.1%
509889.048226863 1
< 0.1%
509738.881902266 1
< 0.1%
509594.156036975 1
< 0.1%
505590.225683783 1
< 0.1%
503016.030821226 1
< 0.1%
497309.161004918 1
< 0.1%
497066.24500919 1
< 0.1%
495061.956667716 1
< 0.1%
495058.998079236 1
< 0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
국외여행업
1781 
국내외여행업
1328 

Length

Max length6
Median length5
Mean length5.427147
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국외여행업
2nd row국내외여행업
3rd row국외여행업
4th row국외여행업
5th row국내외여행업

Common Values

ValueCountFrequency (%)
국외여행업 1781
57.3%
국내외여행업 1328
42.7%

Length

2023-12-11T06:04:45.271872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:45.375870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1781
57.3%
국내외여행업 1328
42.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)1.8%
Missing1461
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.6541262
Minimum0
Maximum43
Zeros1121
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:45.493955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum43
Range43
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.7418888
Coefficient of variation (CV)2.2621543
Kurtosis27.013653
Mean1.6541262
Median Absolute Deviation (MAD)0
Skewness4.2400255
Sum2726
Variance14.001732
MonotonicityNot monotonic
2023-12-11T06:04:45.635634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1121
36.1%
2 86
 
2.8%
1 84
 
2.7%
4 80
 
2.6%
3 66
 
2.1%
5 54
 
1.7%
6 34
 
1.1%
7 24
 
0.8%
8 20
 
0.6%
9 13
 
0.4%
Other values (19) 66
 
2.1%
(Missing) 1461
47.0%
ValueCountFrequency (%)
0 1121
36.1%
1 84
 
2.7%
2 86
 
2.8%
3 66
 
2.1%
4 80
 
2.6%
5 54
 
1.7%
6 34
 
1.1%
7 24
 
0.8%
8 20
 
0.6%
9 13
 
0.4%
ValueCountFrequency (%)
43 1
 
< 0.1%
37 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%
22 4
0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 3
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
2542 
기타
334 
주택가주변
 
106
아파트지역
 
67
유흥업소밀집지역
 
28
Other values (3)
 
32

Length

Max length8
Median length4
Mean length3.9154069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2542
81.8%
기타 334
 
10.7%
주택가주변 106
 
3.4%
아파트지역 67
 
2.2%
유흥업소밀집지역 28
 
0.9%
학교정화(상대) 22
 
0.7%
결혼예식장주변 8
 
0.3%
학교정화(절대) 2
 
0.1%

Length

2023-12-11T06:04:45.763925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:45.881744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2542
81.8%
기타 334
 
10.7%
주택가주변 106
 
3.4%
아파트지역 67
 
2.2%
유흥업소밀집지역 28
 
0.9%
학교정화(상대 22
 
0.7%
결혼예식장주변 8
 
0.3%
학교정화(절대 2
 
0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct25
Distinct (%)1.5%
Missing1462
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.6769885
Minimum0
Maximum504
Zeros1120
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:46.079376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum504
Range504
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.753961
Coefficient of variation (CV)7.6052766
Kurtosis1464.3482
Mean1.6769885
Median Absolute Deviation (MAD)0
Skewness37.218059
Sum2762
Variance162.66352
MonotonicityNot monotonic
2023-12-11T06:04:46.243273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 1120
36.0%
1 101
 
3.2%
3 94
 
3.0%
2 87
 
2.8%
4 83
 
2.7%
5 50
 
1.6%
6 24
 
0.8%
8 20
 
0.6%
7 17
 
0.5%
10 13
 
0.4%
Other values (15) 38
 
1.2%
(Missing) 1462
47.0%
ValueCountFrequency (%)
0 1120
36.0%
1 101
 
3.2%
2 87
 
2.8%
3 94
 
3.0%
4 83
 
2.7%
5 50
 
1.6%
6 24
 
0.8%
7 17
 
0.5%
8 20
 
0.6%
9 7
 
0.2%
ValueCountFrequency (%)
504 1
 
< 0.1%
36 1
 
< 0.1%
33 1
 
< 0.1%
30 1
 
< 0.1%
20 4
0.1%
19 2
0.1%
18 3
0.1%
17 1
 
< 0.1%
16 2
0.1%
15 2
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.7%
Missing1617
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean0.31769437
Minimum0
Maximum21
Zeros1250
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:46.403862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.061936
Coefficient of variation (CV)3.3426341
Kurtosis112.4443
Mean0.31769437
Median Absolute Deviation (MAD)0
Skewness7.9979574
Sum474
Variance1.1277082
MonotonicityNot monotonic
2023-12-11T06:04:46.542323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1250
40.2%
1 146
 
4.7%
2 41
 
1.3%
3 24
 
0.8%
4 16
 
0.5%
5 7
 
0.2%
6 2
 
0.1%
7 2
 
0.1%
10 2
 
0.1%
8 1
 
< 0.1%
(Missing) 1617
52.0%
ValueCountFrequency (%)
0 1250
40.2%
1 146
 
4.7%
2 41
 
1.3%
3 24
 
0.8%
4 16
 
0.5%
5 7
 
0.2%
6 2
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%
10 2
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
10 2
 
0.1%
8 1
 
< 0.1%
7 2
 
0.1%
6 2
 
0.1%
5 7
 
0.2%
4 16
 
0.5%
3 24
 
0.8%
2 41
 
1.3%
1 146
4.7%

객실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:46.709443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:46.818712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

영문상호주소
Text

MISSING 

Distinct61
Distinct (%)24.6%
Missing2861
Missing (%)92.0%
Memory size24.4 KiB
2023-12-11T06:04:47.016465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length44
Mean length25.266129
Min length13

Characters and Unicode

Total characters6266
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)14.5%

Sample

1st rowOverseas travel business
2nd rowOVERSEASTRAVEL BUSINESS
3rd rowOverseas travel business
4th rowOVERSEAS TRAVEL AGENCY
5th rowOverseas Travel Agency
ValueCountFrequency (%)
travel 218
26.9%
overseas 185
22.8%
business 139
17.2%
agency 77
 
9.5%
domestic 39
 
4.8%
and 35
 
4.3%
foreign 24
 
3.0%
oversea 18
 
2.2%
tourism 14
 
1.7%
tour 7
 
0.9%
Other values (24) 54
 
6.7%
2023-12-11T06:04:47.489131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 803
12.8%
s 788
 
12.6%
578
 
9.2%
a 421
 
6.7%
r 412
 
6.6%
v 363
 
5.8%
n 262
 
4.2%
O 228
 
3.6%
i 219
 
3.5%
T 210
 
3.4%
Other values (32) 1982
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4226
67.4%
Uppercase Letter 1443
 
23.0%
Space Separator 578
 
9.2%
Other Punctuation 11
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 803
19.0%
s 788
18.6%
a 421
10.0%
r 412
9.7%
v 363
8.6%
n 262
 
6.2%
i 219
 
5.2%
l 191
 
4.5%
u 159
 
3.8%
t 115
 
2.7%
Other values (9) 493
11.7%
Uppercase Letter
ValueCountFrequency (%)
O 228
15.8%
T 210
14.6%
E 155
10.7%
A 143
9.9%
S 137
9.5%
B 105
7.3%
R 87
 
6.0%
V 69
 
4.8%
N 52
 
3.6%
D 45
 
3.1%
Other values (8) 212
14.7%
Other Punctuation
ValueCountFrequency (%)
& 8
72.7%
/ 3
 
27.3%
Space Separator
ValueCountFrequency (%)
578
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5669
90.5%
Common 597
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 803
14.2%
s 788
13.9%
a 421
 
7.4%
r 412
 
7.3%
v 363
 
6.4%
n 262
 
4.6%
O 228
 
4.0%
i 219
 
3.9%
T 210
 
3.7%
l 191
 
3.4%
Other values (27) 1772
31.3%
Common
ValueCountFrequency (%)
578
96.8%
& 8
 
1.3%
( 4
 
0.7%
) 4
 
0.7%
/ 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 803
12.8%
s 788
 
12.6%
578
 
9.2%
a 421
 
6.7%
r 412
 
6.6%
v 363
 
5.8%
n 262
 
4.2%
O 228
 
3.6%
i 219
 
3.5%
T 210
 
3.4%
Other values (32) 1982
31.6%

선박총톤수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:47.650676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:47.786304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

선박수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:47.926052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:48.056677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:48.198452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:48.323229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

좌석수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:48.460298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:48.593196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:48.728640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:48.848945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct710
Distinct (%)36.0%
Missing1136
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean219.58838
Minimum0
Maximum109585
Zeros872
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size27.5 KiB
2023-12-11T06:04:48.975424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.2
Q349.58
95-th percentile151.004
Maximum109585
Range109585
Interquartile range (IQR)49.58

Descriptive statistics

Standard deviation3861.1074
Coefficient of variation (CV)17.583387
Kurtosis612.28914
Mean219.58838
Median Absolute Deviation (MAD)13.2
Skewness24.210724
Sum433247.87
Variance14908150
MonotonicityNot monotonic
2023-12-11T06:04:49.115518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 872
28.0%
10.0 24
 
0.8%
30.0 24
 
0.8%
33.0 20
 
0.6%
20.0 17
 
0.5%
25.0 12
 
0.4%
66.0 11
 
0.4%
50.0 11
 
0.4%
99.0 10
 
0.3%
35.0 9
 
0.3%
Other values (700) 963
31.0%
(Missing) 1136
36.5%
ValueCountFrequency (%)
0.0 872
28.0%
0.3 1
 
< 0.1%
1.0 1
 
< 0.1%
2.0 3
 
0.1%
2.5 1
 
< 0.1%
3.3 9
 
0.3%
3.96 1
 
< 0.1%
4.0 1
 
< 0.1%
4.5 1
 
< 0.1%
4.6 1
 
< 0.1%
ValueCountFrequency (%)
109585.0 1
< 0.1%
99317.0 1
< 0.1%
68435.0 1
< 0.1%
52892.0 1
< 0.1%
7605.03 1
< 0.1%
4502.62 1
< 0.1%
4454.47 1
< 0.1%
3542.0 1
< 0.1%
2070.0 1
< 0.1%
2029.0 1
< 0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
<NA>
1798 
0
1311 

Length

Max length4
Median length4
Mean length2.734963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1798
57.8%
0 1311
42.2%

Length

2023-12-11T06:04:49.261212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:49.368819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1798
57.8%
0 1311
42.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3109
Missing (%)100.0%
Memory size27.5 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무부대시설내역
0가평군주식회사 에코피아투어20060915<NA>31등록취소<NA><NA><NA>477805경기도 가평군 가평읍 가화로 104-1경기도 가평군 가평읍 읍내리 350-1번지47780537.828988127.5143<NA>245232.332361480858.203846국외여행업<NA>주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가평군(주)월드투어201511272021081831등록취소<NA><NA><NA>12413경기도 가평군 가평읍 석봉로 188 (우진빌딩)경기도 가평군 가평읍 읍내리 508-81241337.83187127.510409<NA>244867.643758481157.357655국내외여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA>
2가평군(주)서희투어201402192019070231등록취소<NA>031-582-1116<NA>12416경기도 가평군 가평읍 석봉로77번길 31 (스카이25시)경기도 가평군 가평읍 대곡리 379-9번지1241637.822258127.510051<NA>244844.453485480096.670636국외여행업<NA><NA><NA><NA><NA>Overseas travel business<NA><NA><NA><NA><NA><NA><NA>16.5<NA><NA><NA><NA><NA><NA><NA>
3가평군(합)뉴 하나관광여행사20140109<NA>25영업정지<NA><NA><NA>12463경기도 가평군 설악면 한서로 379경기도 가평군 설악면 위곡리 195-247785537.670926127.530367<NA>246719.26829463295.911955국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4가평군주식회사 제이디트래블20120514<NA>13영업중<NA>031-582-0433<NA>12417경기도 가평군 가평읍 향교로27번길 5, 1층경기도 가평군 가평읍 읍내리 5551241737.830492127.508409<NA>244690.410098481001.669028국내외여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA>
5가평군(합)하나관광여행사20080917<NA>13영업중<NA><NA><NA><NA>경기도 가평군 가평읍 태봉두밀로 2-41 (상색리)경기도 가평군 가평읍 상색리 171-27번지47780637.803851127.486693<NA>242796.665344478043.371918국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6가평군이오투어2008-01-03<NA>13영업중<NA>031-580-5810<NA>12418경기도 가평군 가평읍 석봉로 172경기도 가평군 가평읍 읍내리 492-21 제일속셈학원1241837.830446127.510852<NA>244901.520197480997.778057국내외여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA>
7가평군(주)팡팡투어이엔티2018-02-22<NA>13영업중<NA><NA><NA>12422경기도 가평군 가평읍 북한강변로 1037, 올인펜션 4층경기도 가평군 가평읍 달전리 110-1 올인펜션1242237.805126127.524946<NA>246159.642017478218.718515국내외여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA>
8가평군(주)미소투어20070920<NA>13영업중<NA><NA><NA>12420경기도 가평군 가평읍 오리나무길 2경기도 가평군 가평읍 읍내리 349-647780337.82749127.514409<NA>245215.646871480671.662225국내외여행업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA>
9가평군자유여행사20110215<NA>13영업중<NA>031-581-8338<NA>477805경기도 가평군 가평읍 석봉로 174경기도 가평군 가평읍 읍내리 495-2547780537.830564127.510796<NA>244901.149757481019.160964국내외여행업2아파트지역200<NA>00<NA>00<NA>031.0<NA>0<NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무부대시설내역
3099화성시지앤원커뮤니티(주)20121018<NA>3폐업20150630<NA><NA>445160경기도 화성시 동탄반송1길 26-11 (반송동)경기도 화성시 반송동 37-1144516037.210071127.063005<NA>205521.785723412021.899499국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3100화성시주식회사 한반도여행사20120918<NA>3폐업20130915<NA><NA>18324경기도 화성시 안녕북길 39-18 (안녕동)경기도 화성시 안녕동 180-5844538037.207396126.980899<NA>198237.897844411713.785161국외여행업1기타10<NA><NA><NA><NA><NA><NA><NA><NA><NA>79.0<NA><NA><NA><NA><NA><NA><NA>
3101화성시여행클럽클래식20021202<NA>2휴업<NA>031-302-5282<NA><NA>경기도 화성시 영통로 47-3 (반월동)경기도 화성시 반월동 163-144533037.234597127.062829<NA>205507.135008414751.336963국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3102<NA>(주)하나퍼스트20060710<NA>13영업중<NA><NA><NA><NA>서울특별시 도봉구 마들로 657, 205호 (방학동,이에스에이아파트)서울특별시 도봉구 방학동 718-7번지 이에스에이아파트 205호13285437.668576127.045465<NA>203946.218925462919.219463국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3103<NA>주식회사 큐슈로코리아20050318<NA>14전입<NA><NA><NA><NA>서울특별시 중구 정동길 33, 302호 (정동,신아기념관)서울특별시 중구 정동 1-28번지 신아기념관 302호10012037.566148126.972106<NA>197471.039918451548.72465국외여행업2기타2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3104<NA>(주)투어웰20030108<NA>35직권말소<NA><NA><NA><NA>서울특별시 종로구 사직로8길 34, 1323호 (내수동,경희궁의아침3단지)서울특별시 종로구 내수동 72번지 경희궁의아침3단지 1323호11087237.573509126.972024<NA>197465.223921452366.6139국외여행업<NA>아파트지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3105<NA>(주)화랑항공20050506<NA>35직권말소20050506<NA><NA><NA>서울특별시 동작구 여의대방로 56-7 (신대방동)서울특별시 동작구 신대방동 492-201번지15685137.495597126.912835<NA>192226.873209443721.439044국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3106<NA>(주)온세계투어20070711<NA>3폐업20111107<NA><NA><NA><NA>충청남도 아산시 인주면 걸매리 164336831<NA><NA><NA><NA><NA>국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3107<NA>(주) 한남여행사 중구지점20011019<NA>3폐업20100203<NA><NA><NA>서울특별시 중구 삼일대로 363 (장교동,장교빌딩)서울특별시 중구 장교동 1번지 장교빌딩10076037.567286126.986526<NA>198744.433229451677.065126국외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3108<NA>(주)미래월드항공여행사20070201<NA>3폐업20120710<NA><NA>06046서울특별시 강남구 학동로 165, 2층 (논현동, 마일스디오빌)서울특별시 강남구 논현동 58-2 마일스디오빌0604637.513858127.028979<NA>180445.316309442291.811373국내외여행업0<NA>000<NA>00<NA>00<NA>036.96<NA>0<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수객실수영문상호주소선박총톤수선박수무대면적좌석수회의실동시수용인원수시설면적놀이시설수# duplicates
0양주시(주)명진관광19871230<NA>3폐업20121203856-1001<NA>경기도 양주시 부흥로 1524 (남방동)경기도 양주시 남방동 2-16번지48204037.783899127.044509203856.994661475718.542021국외여행업<NA><NA><NA><NA><NA>Foreign Tourism<NA><NA><NA><NA><NA><NA><NA>2