Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory69.0 B

Variable types

Text4
Numeric3
Categorical1

Dataset

Description경상남도 거창군 숙박업소에 대한 데이터로 업소명, 도로명주소, 지번주소, 위도, 경도, 객실수, 전화번호를 제공합니다.
Author경상남도 거창군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15118840

Alerts

데이터기준일 has constant value ""Constant
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:28:45.191075
Analysis finished2023-12-11 00:28:46.682692
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T09:28:46.852716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.5
Min length3

Characters and Unicode

Total characters363
Distinct characters143
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row청마장여관
2nd row세신장여관
3rd row신라여인숙
4th row태양장여관
5th row우진장여관
ValueCountFrequency (%)
청마장여관 1
 
1.5%
한들파크모텔 1
 
1.5%
주)양지생태촌 1
 
1.5%
마이다스온천모텔 1
 
1.5%
파인밸리 1
 
1.5%
샵모텔 1
 
1.5%
주식회사모텔두바이 1
 
1.5%
발렌타인모텔 1
 
1.5%
후모텔 1
 
1.5%
유(u)모텔 1
 
1.5%
Other values (57) 57
85.1%
2023-12-11T09:28:47.171082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 42
 
11.6%
모 33
 
9.1%
여 15
 
4.1%
장 14
 
3.9%
관 13
 
3.6%
호 10
 
2.8%
이 10
 
2.8%
) 9
 
2.5%
( 9
 
2.5%
리 6
 
1.7%
Other values (133) 202
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
86.5%
Uppercase Letter 20
 
5.5%
Close Punctuation 9
 
2.5%
Open Punctuation 9
 
2.5%
Lowercase Letter 9
 
2.5%
Other Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 42
 
13.4%
모 33
 
10.5%
여 15
 
4.8%
장 14
 
4.5%
관 13
 
4.1%
호 10
 
3.2%
이 10
 
3.2%
리 6
 
1.9%
한 5
 
1.6%
파 5
 
1.6%
Other values (110) 161
51.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.0%
H 3
15.0%
J 2
10.0%
T 2
10.0%
L 2
10.0%
O 2
10.0%
M 1
 
5.0%
I 1
 
5.0%
U 1
 
5.0%
Y 1
 
5.0%
Other values (2) 2
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
a 2
22.2%
l 1
11.1%
e 1
11.1%
t 1
11.1%
h 1
11.1%
w 1
11.1%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
86.5%
Latin 29
 
8.0%
Common 20
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 42
 
13.4%
모 33
 
10.5%
여 15
 
4.8%
장 14
 
4.5%
관 13
 
4.1%
호 10
 
3.2%
이 10
 
3.2%
리 6
 
1.9%
한 5
 
1.6%
파 5
 
1.6%
Other values (110) 161
51.3%
Latin
ValueCountFrequency (%)
E 3
 
10.3%
H 3
 
10.3%
o 2
 
6.9%
J 2
 
6.9%
a 2
 
6.9%
T 2
 
6.9%
L 2
 
6.9%
O 2
 
6.9%
M 1
 
3.4%
I 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
) 9
45.0%
( 9
45.0%
. 1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
86.5%
ASCII 49
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 42
 
13.4%
모 33
 
10.5%
여 15
 
4.8%
장 14
 
4.5%
관 13
 
4.1%
호 10
 
3.2%
이 10
 
3.2%
리 6
 
1.9%
한 5
 
1.6%
파 5
 
1.6%
Other values (110) 161
51.3%
ASCII
ValueCountFrequency (%)
) 9
18.4%
( 9
18.4%
E 3
 
6.1%
H 3
 
6.1%
o 2
 
4.1%
J 2
 
4.1%
a 2
 
4.1%
T 2
 
4.1%
L 2
 
4.1%
O 2
 
4.1%
Other values (13) 13
26.5%

소재지도로명주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T09:28:47.398714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length21.19697
Min length19

Characters and Unicode

Total characters1399
Distinct characters62
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row경상남도 거창군 거창읍 아림로1길 20
2nd row경상남도 거창군 거창읍 강변로 139-1
3rd row경상남도 거창군 거창읍 아림로 16-23
4th row경상남도 거창군 거창읍 시장길 84-8
5th row경상남도 거창군 거창읍 시장길 84-7
ValueCountFrequency (%)
경상남도 66
19.9%
거창군 66
19.9%
거창읍 36
 
10.8%
가조면 17
 
5.1%
온천길 13
 
3.9%
빼재로 5
 
1.5%
강변로 5
 
1.5%
거창대로3길 4
 
1.2%
대평4길 4
 
1.2%
위천면 4
 
1.2%
Other values (92) 112
33.7%
2023-12-11T09:28:47.744725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
19.0%
거 112
 
8.0%
창 110
 
7.9%
상 69
 
4.9%
남 68
 
4.9%
군 66
 
4.7%
경 66
 
4.7%
도 66
 
4.7%
1 51
 
3.6%
길 37
 
2.6%
Other values (52) 488
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
62.7%
Space Separator 266
 
19.0%
Decimal Number 228
 
16.3%
Dash Punctuation 26
 
1.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 112
12.8%
창 110
12.5%
상 69
 
7.9%
남 68
 
7.8%
군 66
 
7.5%
경 66
 
7.5%
도 66
 
7.5%
길 37
 
4.2%
로 36
 
4.1%
읍 36
 
4.1%
Other values (39) 211
24.1%
Decimal Number
ValueCountFrequency (%)
1 51
22.4%
2 33
14.5%
3 32
14.0%
7 22
9.6%
4 20
 
8.8%
5 17
 
7.5%
0 16
 
7.0%
6 14
 
6.1%
8 13
 
5.7%
9 10
 
4.4%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
62.7%
Common 522
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 112
12.8%
창 110
12.5%
상 69
 
7.9%
남 68
 
7.8%
군 66
 
7.5%
경 66
 
7.5%
도 66
 
7.5%
길 37
 
4.2%
로 36
 
4.1%
읍 36
 
4.1%
Other values (39) 211
24.1%
Common
ValueCountFrequency (%)
266
51.0%
1 51
 
9.8%
2 33
 
6.3%
3 32
 
6.1%
- 26
 
5.0%
7 22
 
4.2%
4 20
 
3.8%
5 17
 
3.3%
0 16
 
3.1%
6 14
 
2.7%
Other values (3) 25
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
62.7%
ASCII 522
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
51.0%
1 51
 
9.8%
2 33
 
6.3%
3 32
 
6.1%
- 26
 
5.0%
7 22
 
4.2%
4 20
 
3.8%
5 17
 
3.3%
0 16
 
3.1%
6 14
 
2.7%
Other values (3) 25
 
4.8%
Hangul
ValueCountFrequency (%)
거 112
12.8%
창 110
12.5%
상 69
 
7.9%
남 68
 
7.8%
군 66
 
7.5%
경 66
 
7.5%
도 66
 
7.5%
길 37
 
4.2%
로 36
 
4.1%
읍 36
 
4.1%
Other values (39) 211
24.1%

소재지지번주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T09:28:47.974220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.560606
Min length19

Characters and Unicode

Total characters1489
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row경상남도 거창군 거창읍 상림리 128-1
2nd row경상남도 거창군 거창읍 중앙리 483-9
3rd row경상남도 거창군 거창읍 중앙리 264
4th row경상남도 거창군 거창읍 대동리 874
5th row경상남도 거창군 거창읍 대동리 868-6
ValueCountFrequency (%)
경상남도 66
19.9%
거창군 66
19.9%
거창읍 36
10.9%
가조면 17
 
5.1%
일부리 14
 
4.2%
대동리 13
 
3.9%
대평리 13
 
3.9%
중앙리 9
 
2.7%
위천면 4
 
1.2%
마리면 4
 
1.2%
Other values (83) 89
26.9%
2023-12-11T09:28:48.282201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
21.7%
거 102
 
6.9%
창 102
 
6.9%
상 71
 
4.8%
리 70
 
4.7%
1 70
 
4.7%
남 68
 
4.6%
경 66
 
4.4%
군 66
 
4.4%
도 66
 
4.4%
Other values (44) 485
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
57.6%
Space Separator 323
 
21.7%
Decimal Number 269
 
18.1%
Dash Punctuation 38
 
2.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 102
11.9%
창 102
11.9%
상 71
 
8.3%
리 70
 
8.2%
남 68
 
7.9%
경 66
 
7.7%
군 66
 
7.7%
도 66
 
7.7%
읍 36
 
4.2%
면 30
 
3.5%
Other values (31) 181
21.1%
Decimal Number
ValueCountFrequency (%)
1 70
26.0%
3 33
12.3%
5 31
11.5%
8 25
 
9.3%
2 23
 
8.6%
0 23
 
8.6%
6 22
 
8.2%
9 15
 
5.6%
7 14
 
5.2%
4 13
 
4.8%
Space Separator
ValueCountFrequency (%)
323
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
57.6%
Common 631
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 102
11.9%
창 102
11.9%
상 71
 
8.3%
리 70
 
8.2%
남 68
 
7.9%
경 66
 
7.7%
군 66
 
7.7%
도 66
 
7.7%
읍 36
 
4.2%
면 30
 
3.5%
Other values (31) 181
21.1%
Common
ValueCountFrequency (%)
323
51.2%
1 70
 
11.1%
- 38
 
6.0%
3 33
 
5.2%
5 31
 
4.9%
8 25
 
4.0%
2 23
 
3.6%
0 23
 
3.6%
6 22
 
3.5%
9 15
 
2.4%
Other values (3) 28
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
57.6%
ASCII 631
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
51.2%
1 70
 
11.1%
- 38
 
6.0%
3 33
 
5.2%
5 31
 
4.9%
8 25
 
4.0%
2 23
 
3.6%
0 23
 
3.6%
6 22
 
3.5%
9 15
 
2.4%
Other values (3) 28
 
4.4%
Hangul
ValueCountFrequency (%)
거 102
11.9%
창 102
11.9%
상 71
 
8.3%
리 70
 
8.2%
남 68
 
7.9%
경 66
 
7.7%
군 66
 
7.7%
도 66
 
7.7%
읍 36
 
4.2%
면 30
 
3.5%
Other values (31) 181
21.1%

위도
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.704132
Minimum35.666522
Maximum35.867049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-11T09:28:48.399993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.666522
5-th percentile35.684844
Q135.685758
median35.688319
Q335.697138
95-th percentile35.79488
Maximum35.867049
Range0.20052651
Interquartile range (IQR)0.01137992

Descriptive statistics

Standard deviation0.03957003
Coefficient of variation (CV)0.0011082759
Kurtosis8.2431974
Mean35.704132
Median Absolute Deviation (MAD)0.003453405
Skewness2.9048351
Sum2356.4727
Variance0.0015657873
MonotonicityNot monotonic
2023-12-11T09:28:48.523705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.68523733 1
 
1.5%
35.70821483 1
 
1.5%
35.71136543 1
 
1.5%
35.68550973 1
 
1.5%
35.68726572 1
 
1.5%
35.68563233 1
 
1.5%
35.68502809 1
 
1.5%
35.69707548 1
 
1.5%
35.69589947 1
 
1.5%
35.69608665 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
35.66652246 1
1.5%
35.68266407 1
1.5%
35.68426367 1
1.5%
35.68482293 1
1.5%
35.68490802 1
1.5%
35.68492998 1
1.5%
35.68502809 1
1.5%
35.68511313 1
1.5%
35.68516193 1
1.5%
35.68518543 1
1.5%
ValueCountFrequency (%)
35.86704897 1
1.5%
35.85029627 1
1.5%
35.84162282 1
1.5%
35.803066 1
1.5%
35.77032346 1
1.5%
35.76115996 1
1.5%
35.74796741 1
1.5%
35.73171574 1
1.5%
35.73099106 1
1.5%
35.71204546 1
1.5%

경도
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.93185
Minimum127.82563
Maximum128.04355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-11T09:28:48.656674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.82563
5-th percentile127.8363
Q1127.91234
median127.91697
Q3127.99502
95-th percentile128.02395
Maximum128.04355
Range0.2179181
Interquartile range (IQR)0.08267145

Descriptive statistics

Standard deviation0.060982258
Coefficient of variation (CV)0.00047667768
Kurtosis-0.72790263
Mean127.93185
Median Absolute Deviation (MAD)0.00551305
Skewness0.36477369
Sum8443.5021
Variance0.0037188358
MonotonicityNot monotonic
2023-12-11T09:28:48.764551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9098241 1
 
1.5%
128.0158331 1
 
1.5%
128.0435466 1
 
1.5%
127.9198389 1
 
1.5%
127.9152505 1
 
1.5%
127.9200704 1
 
1.5%
127.9200532 1
 
1.5%
128.0230813 1
 
1.5%
128.0233565 1
 
1.5%
128.0237387 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
127.8256285 1
1.5%
127.8291682 1
1.5%
127.833022 1
1.5%
127.8362809 1
1.5%
127.8363501 1
1.5%
127.843881 1
1.5%
127.8496266 1
1.5%
127.8518071 1
1.5%
127.8539831 1
1.5%
127.8595175 1
1.5%
ValueCountFrequency (%)
128.0435466 1
1.5%
128.0265073 1
1.5%
128.0254811 1
1.5%
128.0239954 1
1.5%
128.0237993 1
1.5%
128.0237387 1
1.5%
128.0233765 1
1.5%
128.0233565 1
1.5%
128.0231902 1
1.5%
128.0231536 1
1.5%

객실수
Real number (ℝ)

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.075758
Minimum4
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-11T09:28:48.864184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.25
Q112
median15
Q323.75
95-th percentile34.5
Maximum46
Range42
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation9.2392317
Coefficient of variation (CV)0.51113939
Kurtosis0.21798114
Mean18.075758
Median Absolute Deviation (MAD)6
Skewness0.85666114
Sum1193
Variance85.363403
MonotonicityNot monotonic
2023-12-11T09:28:48.954030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12 8
 
12.1%
8 6
 
9.1%
15 5
 
7.6%
14 3
 
4.5%
25 3
 
4.5%
13 3
 
4.5%
20 3
 
4.5%
9 3
 
4.5%
19 3
 
4.5%
23 2
 
3.0%
Other values (21) 27
40.9%
ValueCountFrequency (%)
4 1
 
1.5%
6 1
 
1.5%
7 2
 
3.0%
8 6
9.1%
9 3
 
4.5%
10 2
 
3.0%
12 8
12.1%
13 3
 
4.5%
14 3
 
4.5%
15 5
7.6%
ValueCountFrequency (%)
46 1
1.5%
39 1
1.5%
37 1
1.5%
35 1
1.5%
33 2
3.0%
32 2
3.0%
31 1
1.5%
29 1
1.5%
28 1
1.5%
27 1
1.5%

전화번호
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T09:28:49.159964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.863636
Min length7

Characters and Unicode

Total characters783
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row055-943-7676
2nd row055-943-8688
3rd row055-943-9928
4th row055-944-4596
5th row055-944-2235
ValueCountFrequency (%)
데이터 2
 
2.9%
미집계 2
 
2.9%
055-942-3589 1
 
1.5%
055-945-8866 1
 
1.5%
055-941-1183 1
 
1.5%
055-941-1296 1
 
1.5%
055-944-4845 1
 
1.5%
055-943-0019 1
 
1.5%
055-943-6767 1
 
1.5%
055-944-0050 1
 
1.5%
Other values (56) 56
82.4%
2023-12-11T09:28:49.475798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 162
20.7%
- 128
16.3%
0 99
12.6%
9 93
11.9%
4 91
11.6%
2 45
 
5.7%
1 42
 
5.4%
3 35
 
4.5%
8 34
 
4.3%
7 22
 
2.8%
Other values (8) 32
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 641
81.9%
Dash Punctuation 128
 
16.3%
Other Letter 12
 
1.5%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 162
25.3%
0 99
15.4%
9 93
14.5%
4 91
14.2%
2 45
 
7.0%
1 42
 
6.6%
3 35
 
5.5%
8 34
 
5.3%
7 22
 
3.4%
6 18
 
2.8%
Other Letter
ValueCountFrequency (%)
이 2
16.7%
계 2
16.7%
집 2
16.7%
미 2
16.7%
터 2
16.7%
데 2
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 771
98.5%
Hangul 12
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 162
21.0%
- 128
16.6%
0 99
12.8%
9 93
12.1%
4 91
11.8%
2 45
 
5.8%
1 42
 
5.4%
3 35
 
4.5%
8 34
 
4.4%
7 22
 
2.9%
Other values (2) 20
 
2.6%
Hangul
ValueCountFrequency (%)
이 2
16.7%
계 2
16.7%
집 2
16.7%
미 2
16.7%
터 2
16.7%
데 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 771
98.5%
Hangul 12
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 162
21.0%
- 128
16.6%
0 99
12.8%
9 93
12.1%
4 91
11.8%
2 45
 
5.8%
1 42
 
5.4%
3 35
 
4.5%
8 34
 
4.4%
7 22
 
2.9%
Other values (2) 20
 
2.6%
Hangul
ValueCountFrequency (%)
이 2
16.7%
계 2
16.7%
집 2
16.7%
미 2
16.7%
터 2
16.7%
데 2
16.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-08-17
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-17
2nd row2023-08-17
3rd row2023-08-17
4th row2023-08-17
5th row2023-08-17

Common Values

ValueCountFrequency (%)
2023-08-17 66
100.0%

Length

2023-12-11T09:28:49.594467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:28:49.667332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-17 66
100.0%

Interactions

2023-12-11T09:28:46.004158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.531796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.783225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:46.356815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.622880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.874859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:46.439366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.703619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:28:45.937143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:28:49.718774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지지번주소위도경도객실수전화번호
업소명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.8380.0000.992
경도1.0001.0001.0000.8381.0000.2950.976
객실수1.0001.0001.0000.0000.2951.0000.979
전화번호1.0001.0001.0000.9920.9760.9791.000
2023-12-11T09:28:49.807087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도객실수
위도1.000-0.064-0.045
경도-0.0641.000-0.044
객실수-0.045-0.0441.000

Missing values

2023-12-11T09:28:46.533932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:28:46.643342image/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

업소명소재지도로명주소소재지지번주소위도경도객실수전화번호데이터기준일
0청마장여관경상남도 거창군 거창읍 아림로1길 20경상남도 거창군 거창읍 상림리 128-135.685237127.90982415055-943-76762023-08-17
1세신장여관경상남도 거창군 거창읍 강변로 139-1경상남도 거창군 거창읍 중앙리 483-935.684908127.9122889055-943-86882023-08-17
2신라여인숙경상남도 거창군 거창읍 아림로 16-23경상남도 거창군 거창읍 중앙리 26435.685162127.9113094055-943-99282023-08-17
3태양장여관경상남도 거창군 거창읍 시장길 84-8경상남도 거창군 거창읍 대동리 87435.686489127.9152968055-944-45962023-08-17
4우진장여관경상남도 거창군 거창읍 시장길 84-7경상남도 거창군 거창읍 대동리 868-635.686598127.9155248055-944-22352023-08-17
5영빈모텔경상남도 거창군 거창읍 거창대로 10경상남도 거창군 거창읍 대평리 931-1535.682664127.91830212055-944-66832023-08-17
6그랜드모텔경상남도 거창군 거창읍 시장3길 14경상남도 거창군 거창읍 중앙리 163-135.68625127.91502321055-944-23382023-08-17
7한일장여관경상남도 거창군 거창읍 거열로 188-1경상남도 거창군 거창읍 대동리 698-435.690427127.91417512055-942-69352023-08-17
8한승장여관경상남도 거창군 거창읍 아림로 16경상남도 거창군 거창읍 중앙리 261-735.684823127.911359055-944-29022023-08-17
9새한장여관경상남도 거창군 거창읍 거창대로3길 15경상남도 거창군 거창읍 대동리 78635.688593127.9163512055-942-66422023-08-17
업소명소재지도로명주소소재지지번주소위도경도객실수전화번호데이터기준일
56여기호텔경상남도 거창군 남상면 밤티재로 1236-27경상남도 거창군 남상면 월평리 98335.666522127.93256513055-943-34052023-08-17
57장풍모텔경상남도 거창군 마리면 송계로 13경상남도 거창군 마리면 율리 85135.731716127.85180720055-941-95002023-08-17
58엔드호텔경상남도 거창군 가조면 온천길 37경상남도 거창군 가조면 일부리 136135.696512128.02315413055-945-08552023-08-17
59와이호텔(Y.HOTEL)경상남도 거창군 가조면 온천길 27-26경상남도 거창군 가조면 일부리 135635.696757128.023199데이터 미집계2023-08-17
60수승대콘도텔경상남도 거창군 위천면 송계로 441경상남도 거창군 위천면 황산리 753-235.76116127.83302233055-941-11302023-08-17
61오렌지모텔경상남도 거창군 주상면 빼재로 1220경상남도 거창군 주상면 완대리 61835.803066127.8757722055-943-35282023-08-17
62올리브빌경상남도 거창군 거창읍 창동로 97경상남도 거창군 거창읍 대평리 1005-2735.685944127.9212748데이터 미집계2023-08-17
63거창백두대간생태교육장경상남도 거창군 고제면 빼재로 2325경상남도 거창군 고제면 개명리 2051-1335.867049127.8291688055-940-74962023-08-17
64(주)양지생태촌경상남도 거창군 마리면 진산길 157경상남도 거창군 마리면 말흘리 83-135.695344127.85951713055-942-19192023-08-17
65호텔가조(HOTELGaJo)경상남도 거창군 가조면 온천길 108-11, 2층경상남도 거창군 가조면 일부리 1275, 2층35.698951128.02548131055-944-01122023-08-17