Overview

Dataset statistics

Number of variables9
Number of observations958
Missing cells258
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.4 KiB
Average record size in memory74.1 B

Variable types

Categorical3
Text4
Numeric2

Dataset

Description서울특별시 종로구에서 영업중인 여행사정보에 관한 데이터입니다. 업소명, 도로명주소, 전화번호에 대한 정보를 확인할 수 있습니다.
URLhttps://www.data.go.kr/data/3054136/fileData.do

Alerts

기준일자 has constant value ""Constant
비고 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
업종 is highly overall correlated with 비고High correlation
위도 is highly overall correlated with 비고High correlation
경도 is highly overall correlated with 비고High correlation
전화번호 has 258 (26.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 22:55:39.841865
Analysis finished2023-12-11 22:55:41.315627
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
국내외여행업
534 
종합여행업
396 
국내여행업
 
28

Length

Max length6
Median length6
Mean length5.5574113
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 534
55.7%
종합여행업 396
41.3%
국내여행업 28
 
2.9%

Length

2023-12-12T07:55:41.369921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:41.448596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 534
55.7%
종합여행업 396
41.3%
국내여행업 28
 
2.9%

상호
Text

Distinct945
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-12T07:55:41.637871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length19
Mean length8.5991649
Min length2

Characters and Unicode

Total characters8238
Distinct characters489
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique932 ?
Unique (%)97.3%

Sample

1st row유스드림투어(주)
2nd row금강산관광(주)
3rd row(주)체이스컬트투어
4th row(주)투어리아
5th row(주)여행자클럽
ValueCountFrequency (%)
주식회사 158
 
13.3%
투어 8
 
0.7%
여행사 5
 
0.4%
tour 5
 
0.4%
korea 3
 
0.3%
케이투어 2
 
0.2%
사단법인 2
 
0.2%
얼라이언스 2
 
0.2%
유한회사 2
 
0.2%
티앤플래이스 2
 
0.2%
Other values (981) 995
84.0%
2023-12-12T07:55:41.957566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 745
 
9.0%
( 597
 
7.2%
) 597
 
7.2%
사 313
 
3.8%
어 304
 
3.7%
투 290
 
3.5%
이 250
 
3.0%
226
 
2.7%
스 193
 
2.3%
행 192
 
2.3%
Other values (479) 4531
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6618
80.3%
Open Punctuation 597
 
7.2%
Close Punctuation 597
 
7.2%
Space Separator 226
 
2.7%
Uppercase Letter 104
 
1.3%
Lowercase Letter 81
 
1.0%
Other Punctuation 11
 
0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 745
 
11.3%
사 313
 
4.7%
어 304
 
4.6%
투 290
 
4.4%
이 250
 
3.8%
스 193
 
2.9%
행 192
 
2.9%
여 190
 
2.9%
회 167
 
2.5%
식 160
 
2.4%
Other values (429) 3814
57.6%
Uppercase Letter
ValueCountFrequency (%)
S 13
12.5%
T 13
12.5%
K 11
 
10.6%
J 6
 
5.8%
O 6
 
5.8%
E 6
 
5.8%
N 5
 
4.8%
G 4
 
3.8%
L 4
 
3.8%
H 4
 
3.8%
Other values (13) 32
30.8%
Lowercase Letter
ValueCountFrequency (%)
o 13
16.0%
r 10
12.3%
e 9
11.1%
a 8
9.9%
u 7
8.6%
n 7
8.6%
t 7
8.6%
i 4
 
4.9%
p 4
 
4.9%
m 2
 
2.5%
Other values (7) 10
12.3%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
3 1
25.0%
7 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 597
100.0%
Space Separator
ValueCountFrequency (%)
226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6618
80.3%
Common 1435
 
17.4%
Latin 185
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 745
 
11.3%
사 313
 
4.7%
어 304
 
4.6%
투 290
 
4.4%
이 250
 
3.8%
스 193
 
2.9%
행 192
 
2.9%
여 190
 
2.9%
회 167
 
2.5%
식 160
 
2.4%
Other values (429) 3814
57.6%
Latin
ValueCountFrequency (%)
S 13
 
7.0%
o 13
 
7.0%
T 13
 
7.0%
K 11
 
5.9%
r 10
 
5.4%
e 9
 
4.9%
a 8
 
4.3%
u 7
 
3.8%
n 7
 
3.8%
t 7
 
3.8%
Other values (30) 87
47.0%
Common
ValueCountFrequency (%)
( 597
41.6%
) 597
41.6%
226
 
15.7%
. 7
 
0.5%
& 3
 
0.2%
1 1
 
0.1%
3 1
 
0.1%
, 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6618
80.3%
ASCII 1620
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 745
 
11.3%
사 313
 
4.7%
어 304
 
4.6%
투 290
 
4.4%
이 250
 
3.8%
스 193
 
2.9%
행 192
 
2.9%
여 190
 
2.9%
회 167
 
2.5%
식 160
 
2.4%
Other values (429) 3814
57.6%
ASCII
ValueCountFrequency (%)
( 597
36.9%
) 597
36.9%
226
 
14.0%
S 13
 
0.8%
o 13
 
0.8%
T 13
 
0.8%
K 11
 
0.7%
r 10
 
0.6%
e 9
 
0.6%
a 8
 
0.5%
Other values (40) 123
 
7.6%

지번주소
Text

Distinct599
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-12T07:55:42.237901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length27.510438
Min length17

Characters and Unicode

Total characters26355
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)51.9%

Sample

1st row서울특별시 종로구 경운동 88 1412호
2nd row서울특별시 종로구 내수동 75 용비어천가 1101호
3rd row서울특별시 종로구 내수동 75 용비어천가 1222호
4th row서울특별시 종로구 신문로1가 163 광화문오피시아 2105호
5th row서울특별시 종로구 신교동 59 602호
ValueCountFrequency (%)
서울특별시 958
 
18.1%
종로구 958
 
18.1%
신문로1가 120
 
2.3%
수송동 109
 
2.1%
24 98
 
1.9%
58 93
 
1.8%
내수동 90
 
1.7%
두산위브파빌리온 87
 
1.6%
종로1가 83
 
1.6%
인사동 82
 
1.5%
Other values (799) 2617
49.4%
2023-12-12T07:55:42.632968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4882
18.5%
로 1383
 
5.2%
1 1332
 
5.1%
종 1195
 
4.5%
시 1039
 
3.9%
서 986
 
3.7%
울 970
 
3.7%
구 963
 
3.7%
별 959
 
3.6%
특 958
 
3.6%
Other values (272) 11688
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16225
61.6%
Space Separator 4882
 
18.5%
Decimal Number 4741
 
18.0%
Dash Punctuation 378
 
1.4%
Uppercase Letter 71
 
0.3%
Lowercase Letter 28
 
0.1%
Other Punctuation 12
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1383
 
8.5%
종 1195
 
7.4%
시 1039
 
6.4%
서 986
 
6.1%
울 970
 
6.0%
구 963
 
5.9%
별 959
 
5.9%
특 958
 
5.9%
동 742
 
4.6%
빌 468
 
2.9%
Other values (228) 6562
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 13
18.3%
S 9
12.7%
Y 7
9.9%
C 6
8.5%
D 6
8.5%
M 6
8.5%
B 3
 
4.2%
O 3
 
4.2%
K 3
 
4.2%
N 3
 
4.2%
Other values (8) 12
16.9%
Decimal Number
ValueCountFrequency (%)
1 1332
28.1%
2 573
12.1%
4 465
 
9.8%
5 443
 
9.3%
0 428
 
9.0%
3 385
 
8.1%
8 330
 
7.0%
6 320
 
6.7%
7 248
 
5.2%
9 217
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
o 6
21.4%
c 4
14.3%
n 4
14.3%
r 4
14.3%
d 2
 
7.1%
a 2
 
7.1%
i 2
 
7.1%
e 2
 
7.1%
w 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
& 3
 
25.0%
Space Separator
ValueCountFrequency (%)
4882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16225
61.6%
Common 10031
38.1%
Latin 99
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1383
 
8.5%
종 1195
 
7.4%
시 1039
 
6.4%
서 986
 
6.1%
울 970
 
6.0%
구 963
 
5.9%
별 959
 
5.9%
특 958
 
5.9%
동 742
 
4.6%
빌 468
 
2.9%
Other values (228) 6562
40.4%
Latin
ValueCountFrequency (%)
A 13
 
13.1%
S 9
 
9.1%
Y 7
 
7.1%
o 6
 
6.1%
C 6
 
6.1%
D 6
 
6.1%
M 6
 
6.1%
c 4
 
4.0%
n 4
 
4.0%
r 4
 
4.0%
Other values (17) 34
34.3%
Common
ValueCountFrequency (%)
4882
48.7%
1 1332
 
13.3%
2 573
 
5.7%
4 465
 
4.6%
5 443
 
4.4%
0 428
 
4.3%
3 385
 
3.8%
- 378
 
3.8%
8 330
 
3.3%
6 320
 
3.2%
Other values (7) 495
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16225
61.6%
ASCII 10130
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4882
48.2%
1 1332
 
13.1%
2 573
 
5.7%
4 465
 
4.6%
5 443
 
4.4%
0 428
 
4.2%
3 385
 
3.8%
- 378
 
3.7%
8 330
 
3.3%
6 320
 
3.2%
Other values (34) 594
 
5.9%
Hangul
ValueCountFrequency (%)
로 1383
 
8.5%
종 1195
 
7.4%
시 1039
 
6.4%
서 986
 
6.1%
울 970
 
6.0%
구 963
 
5.9%
별 959
 
5.9%
특 958
 
5.9%
동 742
 
4.6%
빌 468
 
2.9%
Other values (228) 6562
40.4%

도로명주소
Text

Distinct838
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-12T07:55:42.920354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length37.608559
Min length22

Characters and Unicode

Total characters36029
Distinct characters290
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)78.7%

Sample

1st row서울특별시 종로구 삼일대로 457, 수운회관 1412호 (경운동)
2nd row서울특별시 종로구 새문안로3길 36, 1101호 (내수동, 용비어천가)
3rd row서울특별시 종로구 새문안로3길 36, 1222호 (내수동, 용비어천가)
4th row서울특별시 종로구 새문안로 92, 2105호 (신문로1가, 광화문오피시아)
5th row서울특별시 종로구 필운대로 116, 신우빌딩 602호 (신교동)
ValueCountFrequency (%)
서울특별시 958
 
13.9%
종로구 958
 
13.9%
종로 127
 
1.8%
신문로1가 120
 
1.7%
새문안로 115
 
1.7%
삼봉로 110
 
1.6%
수송동 108
 
1.6%
81 95
 
1.4%
내수동 90
 
1.3%
두산위브파빌리온 90
 
1.3%
Other values (1008) 4133
59.9%
2023-12-12T07:55:43.323488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5946
 
16.5%
로 2196
 
6.1%
1 1478
 
4.1%
종 1443
 
4.0%
, 1212
 
3.4%
시 1042
 
2.9%
서 984
 
2.7%
울 970
 
2.7%
) 966
 
2.7%
( 966
 
2.7%
Other values (280) 18826
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20681
57.4%
Decimal Number 5993
 
16.6%
Space Separator 5946
 
16.5%
Other Punctuation 1217
 
3.4%
Close Punctuation 966
 
2.7%
Open Punctuation 966
 
2.7%
Dash Punctuation 128
 
0.4%
Uppercase Letter 98
 
0.3%
Lowercase Letter 28
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2196
 
10.6%
종 1443
 
7.0%
시 1042
 
5.0%
서 984
 
4.8%
울 970
 
4.7%
구 963
 
4.7%
별 962
 
4.7%
특 958
 
4.6%
동 894
 
4.3%
호 803
 
3.9%
Other values (239) 9466
45.8%
Uppercase Letter
ValueCountFrequency (%)
A 20
20.4%
S 16
16.3%
B 12
12.2%
D 11
11.2%
C 10
10.2%
Y 7
 
7.1%
M 6
 
6.1%
T 4
 
4.1%
K 4
 
4.1%
V 2
 
2.0%
Other values (4) 6
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 1478
24.7%
2 769
12.8%
3 696
11.6%
0 648
10.8%
5 537
 
9.0%
8 434
 
7.2%
4 400
 
6.7%
9 387
 
6.5%
6 361
 
6.0%
7 283
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
o 6
21.4%
n 4
14.3%
c 4
14.3%
r 4
14.3%
d 2
 
7.1%
i 2
 
7.1%
a 2
 
7.1%
e 2
 
7.1%
w 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1212
99.6%
& 5
 
0.4%
Space Separator
ValueCountFrequency (%)
5946
100.0%
Close Punctuation
ValueCountFrequency (%)
) 966
100.0%
Open Punctuation
ValueCountFrequency (%)
( 966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20681
57.4%
Common 15222
42.2%
Latin 126
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2196
 
10.6%
종 1443
 
7.0%
시 1042
 
5.0%
서 984
 
4.8%
울 970
 
4.7%
구 963
 
4.7%
별 962
 
4.7%
특 958
 
4.6%
동 894
 
4.3%
호 803
 
3.9%
Other values (239) 9466
45.8%
Latin
ValueCountFrequency (%)
A 20
15.9%
S 16
12.7%
B 12
 
9.5%
D 11
 
8.7%
C 10
 
7.9%
Y 7
 
5.6%
o 6
 
4.8%
M 6
 
4.8%
T 4
 
3.2%
n 4
 
3.2%
Other values (13) 30
23.8%
Common
ValueCountFrequency (%)
5946
39.1%
1 1478
 
9.7%
, 1212
 
8.0%
) 966
 
6.3%
( 966
 
6.3%
2 769
 
5.1%
3 696
 
4.6%
0 648
 
4.3%
5 537
 
3.5%
8 434
 
2.9%
Other values (8) 1570
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20681
57.4%
ASCII 15348
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5946
38.7%
1 1478
 
9.6%
, 1212
 
7.9%
) 966
 
6.3%
( 966
 
6.3%
2 769
 
5.0%
3 696
 
4.5%
0 648
 
4.2%
5 537
 
3.5%
8 434
 
2.8%
Other values (31) 1696
 
11.1%
Hangul
ValueCountFrequency (%)
로 2196
 
10.6%
종 1443
 
7.0%
시 1042
 
5.0%
서 984
 
4.8%
울 970
 
4.7%
구 963
 
4.7%
별 962
 
4.7%
특 958
 
4.6%
동 894
 
4.3%
호 803
 
3.9%
Other values (239) 9466
45.8%

전화번호
Text

MISSING 

Distinct666
Distinct (%)95.1%
Missing258
Missing (%)26.9%
Memory size7.6 KiB
2023-12-12T07:55:43.546358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.332857
Min length11

Characters and Unicode

Total characters7933
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

Unique633 ?
Unique (%)90.4%

Sample

1st row02-735-8223
2nd row02-773-3118
3rd row02-733-3666
4th row02-723-2343
5th row02-2277-5155
ValueCountFrequency (%)
02-3276-3099 3
 
0.4%
02-392-2626 2
 
0.3%
02-723-5700 2
 
0.3%
02-739-0890 2
 
0.3%
070-7786-1389 2
 
0.3%
02-747-6607 2
 
0.3%
02-6933-0055 2
 
0.3%
02-338-9800 2
 
0.3%
02-2222-6601 2
 
0.3%
02-723-3100 2
 
0.3%
Other values (656) 679
97.0%
2023-12-12T07:55:43.876966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1401
17.7%
0 1301
16.4%
2 1277
16.1%
7 967
12.2%
3 660
8.3%
8 434
 
5.5%
5 424
 
5.3%
6 423
 
5.3%
1 416
 
5.2%
4 336
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6532
82.3%
Dash Punctuation 1401
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1301
19.9%
2 1277
19.5%
7 967
14.8%
3 660
10.1%
8 434
 
6.6%
5 424
 
6.5%
6 423
 
6.5%
1 416
 
6.4%
4 336
 
5.1%
9 294
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7933
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1401
17.7%
0 1301
16.4%
2 1277
16.1%
7 967
12.2%
3 660
8.3%
8 434
 
5.5%
5 424
 
5.3%
6 423
 
5.3%
1 416
 
5.2%
4 336
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1401
17.7%
0 1301
16.4%
2 1277
16.1%
7 967
12.2%
3 660
8.3%
8 434
 
5.5%
5 424
 
5.3%
6 423
 
5.3%
1 416
 
5.2%
4 336
 
4.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct237
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.572776
Minimum37.568577
Maximum37.610026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-12T07:55:43.998217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.568577
5-th percentile37.569571
Q137.570844
median37.572097
Q337.573432
95-th percentile37.578903
Maximum37.610026
Range0.04144896
Interquartile range (IQR)0.00258733

Descriptive statistics

Standard deviation0.0043083822
Coefficient of variation (CV)0.00011466766
Kurtosis30.968792
Mean37.572776
Median Absolute Deviation (MAD)0.001285325
Skewness4.8211741
Sum35994.719
Variance1.8562158 × 10-5
MonotonicityNot monotonic
2023-12-12T07:55:44.105307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.57253091 94
 
9.8%
37.56969962 74
 
7.7%
37.57084449 71
 
7.4%
37.57209731 58
 
6.1%
37.57138648 39
 
4.1%
37.57343182 37
 
3.9%
37.57356698 31
 
3.2%
37.5744602 27
 
2.8%
37.5704876 27
 
2.8%
37.57189615 15
 
1.6%
Other values (227) 485
50.6%
ValueCountFrequency (%)
37.5685773 1
 
0.1%
37.56857872 1
 
0.1%
37.56863139 8
0.8%
37.56869275 1
 
0.1%
37.56870301 1
 
0.1%
37.56878347 2
 
0.2%
37.56883631 6
0.6%
37.56892674 1
 
0.1%
37.56895371 1
 
0.1%
37.5689809 1
 
0.1%
ValueCountFrequency (%)
37.61002626 1
0.1%
37.60793324 1
0.1%
37.60725412 1
0.1%
37.60686264 1
0.1%
37.60544161 1
0.1%
37.60277184 1
0.1%
37.60176448 1
0.1%
37.59922788 1
0.1%
37.59896277 1
0.1%
37.5978065 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct238
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9815
Minimum126.9541
Maximum127.02298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-12T07:55:44.212407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9541
5-th percentile126.97215
Q1126.97471
median126.98046
Q3126.98539
95-th percentile127.00107
Maximum127.02298
Range0.0688726
Interquartile range (IQR)0.0106827

Descriptive statistics

Standard deviation0.0094261235
Coefficient of variation (CV)7.4232259 × 10-5
Kurtosis3.718305
Mean126.9815
Median Absolute Deviation (MAD)0.0055521
Skewness1.5293476
Sum121648.28
Variance8.8851805 × 10-5
MonotonicityNot monotonic
2023-12-12T07:55:44.323622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.981792 94
 
9.8%
126.974908 74
 
7.7%
126.9799237 71
 
7.4%
126.9853924 58
 
6.1%
126.9736987 39
 
4.1%
126.9732728 37
 
3.9%
126.9721549 31
 
3.2%
126.974761 27
 
2.8%
126.9735971 27
 
2.8%
126.9838385 15
 
1.6%
Other values (228) 485
50.6%
ValueCountFrequency (%)
126.9541028 1
0.1%
126.9567833 1
0.1%
126.9600303 1
0.1%
126.9600576 1
0.1%
126.9607345 1
0.1%
126.9623523 1
0.1%
126.9630379 1
0.1%
126.9641549 1
0.1%
126.9643571 1
0.1%
126.9661152 1
0.1%
ValueCountFrequency (%)
127.0229754 2
0.2%
127.0217084 2
0.2%
127.0215954 1
0.1%
127.021481 1
0.1%
127.0209594 1
0.1%
127.0196603 1
0.1%
127.0169344 1
0.1%
127.0160832 1
0.1%
127.016 2
0.2%
127.0152809 1
0.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-08-18
958 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2023-08-18 958
100.0%

Length

2023-12-12T07:55:44.428828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:44.495061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-18 958
100.0%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
700 
전화번호 데이터 미집계
258 

Length

Max length12
Median length4
Mean length6.1544885
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 700
73.1%
전화번호 데이터 미집계 258
 
26.9%

Length

2023-12-12T07:55:44.582178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:44.665329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 700
47.5%
전화번호 258
 
17.5%
데이터 258
 
17.5%
미집계 258
 
17.5%

Interactions

2023-12-12T07:55:40.676179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:40.464781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:40.753714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:40.553808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:55:44.716444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종위도경도
업종1.0000.3060.196
위도0.3061.0000.762
경도0.1960.7621.000
2023-12-12T07:55:44.787284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고업종
비고1.0001.000
업종1.0001.000
2023-12-12T07:55:44.853660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종비고
위도1.0000.0300.1921.000
경도0.0301.0000.1181.000
업종0.1920.1181.0001.000
비고1.0001.0001.0001.000

Missing values

2023-12-12T07:55:41.157287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:41.270398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업종상호지번주소도로명주소전화번호위도경도기준일자비고
0국내여행업유스드림투어(주)서울특별시 종로구 경운동 88 1412호서울특별시 종로구 삼일대로 457, 수운회관 1412호 (경운동)02-735-822337.575288126.9861672023-08-18<NA>
1국내여행업금강산관광(주)서울특별시 종로구 내수동 75 용비어천가 1101호서울특별시 종로구 새문안로3길 36, 1101호 (내수동, 용비어천가)02-773-311837.573432126.9732732023-08-18<NA>
2국내여행업(주)체이스컬트투어서울특별시 종로구 내수동 75 용비어천가 1222호서울특별시 종로구 새문안로3길 36, 1222호 (내수동, 용비어천가)02-733-366637.573432126.9732732023-08-18<NA>
3국내여행업(주)투어리아서울특별시 종로구 신문로1가 163 광화문오피시아 2105호서울특별시 종로구 새문안로 92, 2105호 (신문로1가, 광화문오피시아)02-723-234337.5697126.9749082023-08-18<NA>
4국내여행업(주)여행자클럽서울특별시 종로구 신교동 59 602호서울특별시 종로구 필운대로 116, 신우빌딩 602호 (신교동)02-2277-515537.583689126.9700672023-08-18<NA>
5국내여행업(사)정보화마을중앙협회서울특별시 종로구 수송동 58 대성스카이렉스 116호서울특별시 종로구 삼봉로 81, 116호 (수송동, 두산위브파빌리온)02-2100-404637.572531126.9817922023-08-18<NA>
6국내여행업(주)로제항공여행사서울특별시 종로구 내수동 72 경희궁의아침 3단지 303호서울특별시 종로구 사직로8길 34, 3층 3호 (내수동, 경희궁의아침 3단지)02-720-503137.573567126.9721552023-08-18<NA>
7국내여행업미래트레킹서울특별시 종로구 종로5가 322-8 동원빌딩 4층 504호서울특별시 종로구 종로34길 14, 4층 504호 (종로5가, 동원빌딩)02-2269-905137.570238127.002612023-08-18<NA>
8국내여행업(주)교육여행행복한아이들서울특별시 종로구 경운동 64-6 동예헌서울특별시 종로구 인사동10길 26, 동예헌 3층 (경운동)02-830-018137.574359126.9864032023-08-18<NA>
9국내여행업(주)SK위드여행사서울특별시 종로구 인의동 48-2 효성주얼리시티 제이비 1315~ 1318호서울특별시 종로구 종로 183, 지하1층 제이비 1315~1318호 (인의동, 효성주얼리시티)02-723-787837.571441126.998662023-08-18<NA>
업종상호지번주소도로명주소전화번호위도경도기준일자비고
948종합여행업(주)트랜스코리아투어서울특별시 종로구 수송동 58 두산위브파빌리온서울특별시 종로구 삼봉로 81, 두산위브파빌리온 1305호 (수송동)02-735-608837.572531126.9817922023-08-18<NA>
949종합여행업도토리 코리아서울특별시 종로구 낙원동 58-1 종로오피스텔서울특별시 종로구 삼일대로30길 21, 715호 (낙원동, 종로오피스텔)<NA>37.574224126.9885862023-08-18전화번호 데이터 미집계
950종합여행업(주)에스더블유엠투어서울특별시 종로구 수송동 58 두산위브파빌리온서울특별시 종로구 삼봉로 81, 두산위브파빌리온 805호 (수송동)<NA>37.572531126.9817922023-08-18전화번호 데이터 미집계
951종합여행업엘까미노트래블서울특별시 종로구 옥인동 108서울특별시 종로구 필운대로 53-30, 2층 (옥인동)02-423-883337.580789126.9679692023-08-18<NA>
952종합여행업주식회사 비와이컨퍼니서울특별시 종로구 숭인동 201-28 계명빌딩서울특별시 종로구 종로66길 20, 계명빌딩 4층 403호 (숭인동)02-958-184837.573952127.0217082023-08-18<NA>
953종합여행업직능연합크루즈 주식회사서울특별시 종로구 익선동 30-6 운현신화타워서울특별시 종로구 삼일대로32길 36, 5층 504호 (익선동, 운현신화타워)02-1566-736837.57525126.9891032023-08-18<NA>
954종합여행업여행의 행복서울특별시 종로구 인사동 194-4 하나로빌딩서울특별시 종로구 인사동5길 25, 하나로빌딩 805호 (인사동)02-774-384237.572097126.9853922023-08-18<NA>
955종합여행업주식회사 티앤플래이스서울특별시 종로구 신문로1가 163 광화문오피시아빌딩 901호서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 901호 (신문로1가)070-7786-138937.5697126.9749082023-08-18<NA>
956종합여행업외교센터번역아포스티유 주식회사서울특별시 종로구 중학동 14 트윈 트리 빌딩서울특별시 종로구 율곡로 6, 트윈 트리 빌딩 에이동 지하2층 (중학동)<NA>37.575454126.9797762023-08-18전화번호 데이터 미집계
957종합여행업Stunning Korea서울특별시 종로구 수송동 58 두산위브파빌리온서울특별시 종로구 삼봉로 81, 두산위브파빌리온 423호 (수송동)<NA>37.572531126.9817922023-08-18전화번호 데이터 미집계