Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.1 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description관광진흥법 제3조 및 동법 시행령 제2조의 관광객이용시설업 중 외국인관광 도시민박업 등록 현황을 매년 상반기, 하반기 구분하여 공개하고 있습니다.
Author경상북도 경주시
URLhttps://www.data.go.kr/data/3047951/fileData.do

Alerts

업종 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:25:57.953399
Analysis finished2023-12-12 12:25:58.521630
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:25:58.618644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T21:25:58.808025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
외국인관광 도시민박업
42 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 42
100.0%

Length

2023-12-12T21:25:58.986581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:59.126598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 42
50.0%
도시민박업 42
50.0%

상호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T21:25:59.416460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.1428571
Min length2

Characters and Unicode

Total characters258
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row모모제인
2nd row유게스트하우스
3rd row월지향
4th row게스트하우스 고도
5th rowThe zoom
ValueCountFrequency (%)
스테이 4
 
6.2%
하우스 2
 
3.1%
게스트하우스 2
 
3.1%
경주 2
 
3.1%
모모제인 1
 
1.6%
방가방가 1
 
1.6%
희동댁 1
 
1.6%
하온정 1
 
1.6%
연리지(happy 1
 
1.6%
tree 1
 
1.6%
Other values (48) 48
75.0%
2023-12-12T21:25:59.918500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
8.5%
스 16
 
6.2%
이 11
 
4.3%
하 7
 
2.7%
우 7
 
2.7%
테 6
 
2.3%
황 5
 
1.9%
o 5
 
1.9%
담 5
 
1.9%
게 4
 
1.6%
Other values (117) 170
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
73.6%
Lowercase Letter 24
 
9.3%
Space Separator 22
 
8.5%
Uppercase Letter 7
 
2.7%
Decimal Number 6
 
2.3%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%
Other Punctuation 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 16
 
8.4%
이 11
 
5.8%
하 7
 
3.7%
우 7
 
3.7%
테 6
 
3.2%
황 5
 
2.6%
담 5
 
2.6%
게 4
 
2.1%
트 4
 
2.1%
여 3
 
1.6%
Other values (87) 122
64.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
20.8%
e 3
12.5%
n 3
12.5%
p 2
 
8.3%
k 2
 
8.3%
c 1
 
4.2%
r 1
 
4.2%
y 1
 
4.2%
a 1
 
4.2%
m 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
N 1
14.3%
K 1
14.3%
H 1
14.3%
G 1
14.3%
B 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 1
 
16.7%
0 1
 
16.7%
8 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
73.6%
Common 37
 
14.3%
Latin 31
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 16
 
8.4%
이 11
 
5.8%
하 7
 
3.7%
우 7
 
3.7%
테 6
 
3.2%
황 5
 
2.6%
담 5
 
2.6%
게 4
 
2.1%
트 4
 
2.1%
여 3
 
1.6%
Other values (87) 122
64.2%
Latin
ValueCountFrequency (%)
o 5
16.1%
e 3
 
9.7%
n 3
 
9.7%
p 2
 
6.5%
k 2
 
6.5%
T 2
 
6.5%
N 1
 
3.2%
c 1
 
3.2%
r 1
 
3.2%
y 1
 
3.2%
Other values (10) 10
32.3%
Common
ValueCountFrequency (%)
22
59.5%
1 3
 
8.1%
) 3
 
8.1%
( 3
 
8.1%
- 1
 
2.7%
2 1
 
2.7%
0 1
 
2.7%
8 1
 
2.7%
' 1
 
2.7%
& 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
73.6%
ASCII 68
 
26.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
32.4%
o 5
 
7.4%
1 3
 
4.4%
e 3
 
4.4%
) 3
 
4.4%
n 3
 
4.4%
( 3
 
4.4%
p 2
 
2.9%
k 2
 
2.9%
T 2
 
2.9%
Other values (20) 20
29.4%
Hangul
ValueCountFrequency (%)
스 16
 
8.4%
이 11
 
5.8%
하 7
 
3.7%
우 7
 
3.7%
테 6
 
3.2%
황 5
 
2.6%
담 5
 
2.6%
게 4
 
2.1%
트 4
 
2.1%
여 3
 
1.6%
Other values (87) 122
64.2%

소재지(도로명)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T21:26:00.316065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length26
Min length20

Characters and Unicode

Total characters1092
Distinct characters62
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

Unique42 ?
Unique (%)100.0%

Sample

1st row경상북도 경주시 동성로 129-7 (황오동)
2nd row경상북도 경주시 사정로 9 (사정동)
3rd row경상북도 경주시 양정로74번길 5 (황오동)
4th row경상북도 경주시 첨성로39번길 15-4 (사정동)
5th row경상북도 경주시 동방중앙길 54-37, 601호 (동방동)
ValueCountFrequency (%)
경상북도 42
19.4%
경주시 42
19.4%
사정동 13
 
6.0%
황오동 9
 
4.1%
황남동 7
 
3.2%
북부동 3
 
1.4%
동부동 3
 
1.4%
첨성로81번길 3
 
1.4%
원효로 3
 
1.4%
북성로105번길 3
 
1.4%
Other values (81) 89
41.0%
2023-12-12T21:26:00.848161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
16.0%
경 84
 
7.7%
동 50
 
4.6%
북 49
 
4.5%
시 42
 
3.8%
상 42
 
3.8%
1 42
 
3.8%
주 42
 
3.8%
도 42
 
3.8%
( 41
 
3.8%
Other values (52) 483
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
56.0%
Decimal Number 189
 
17.3%
Space Separator 175
 
16.0%
Open Punctuation 41
 
3.8%
Close Punctuation 41
 
3.8%
Dash Punctuation 29
 
2.7%
Other Punctuation 5
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 84
13.7%
동 50
 
8.2%
북 49
 
8.0%
시 42
 
6.9%
상 42
 
6.9%
주 42
 
6.9%
도 42
 
6.9%
로 38
 
6.2%
길 29
 
4.7%
번 25
 
4.1%
Other values (36) 168
27.5%
Decimal Number
ValueCountFrequency (%)
1 42
22.2%
2 22
11.6%
7 22
11.6%
3 20
10.6%
5 18
9.5%
9 15
 
7.9%
0 13
 
6.9%
4 13
 
6.9%
8 12
 
6.3%
6 12
 
6.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
56.0%
Common 480
44.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 84
13.7%
동 50
 
8.2%
북 49
 
8.0%
시 42
 
6.9%
상 42
 
6.9%
주 42
 
6.9%
도 42
 
6.9%
로 38
 
6.2%
길 29
 
4.7%
번 25
 
4.1%
Other values (36) 168
27.5%
Common
ValueCountFrequency (%)
175
36.5%
1 42
 
8.8%
( 41
 
8.5%
) 41
 
8.5%
- 29
 
6.0%
2 22
 
4.6%
7 22
 
4.6%
3 20
 
4.2%
5 18
 
3.8%
9 15
 
3.1%
Other values (5) 55
 
11.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
56.0%
ASCII 481
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
36.4%
1 42
 
8.7%
( 41
 
8.5%
) 41
 
8.5%
- 29
 
6.0%
2 22
 
4.6%
7 22
 
4.6%
3 20
 
4.2%
5 18
 
3.7%
9 15
 
3.1%
Other values (6) 56
 
11.6%
Hangul
ValueCountFrequency (%)
경 84
13.7%
동 50
 
8.2%
북 49
 
8.0%
시 42
 
6.9%
상 42
 
6.9%
주 42
 
6.9%
도 42
 
6.9%
로 38
 
6.2%
길 29
 
4.7%
번 25
 
4.1%
Other values (36) 168
27.5%

Interactions

2023-12-12T21:25:58.211818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:26:01.001565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호소재지(도로명)
연번1.0001.0001.000
상호1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2023-12-12T21:25:58.351944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:25:58.472759image/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

연번업종상호소재지(도로명)
01외국인관광 도시민박업모모제인경상북도 경주시 동성로 129-7 (황오동)
12외국인관광 도시민박업유게스트하우스경상북도 경주시 사정로 9 (사정동)
23외국인관광 도시민박업월지향경상북도 경주시 양정로74번길 5 (황오동)
34외국인관광 도시민박업게스트하우스 고도경상북도 경주시 첨성로39번길 15-4 (사정동)
45외국인관광 도시민박업The zoom경상북도 경주시 동방중앙길 54-37, 601호 (동방동)
56외국인관광 도시민박업비치힐경상북도 경주시 감포읍 감포로 326, A동 2층 202호
67외국인관광 도시민박업나무애경상북도 경주시 포석로1068번길 25 (황남동)
78외국인관광 도시민박업블루플래닛경상북도 경주시 원효로173번길 4-3 (황오동)
89외국인관광 도시민박업머물다경상북도 경주시 금성로 310-1, 2층 (서부동)
910외국인관광 도시민박업신라여관경상북도 경주시 첨성로 53-3 (사정동)
연번업종상호소재지(도로명)
3233외국인관광 도시민박업스테이 해담경상북도 경주시 첨성로81번길 28-9 (황남동)
3334외국인관광 도시민박업우드인스테이경상북도 경주시 강변로152번길 7 (사정동)
3435외국인관광 도시민박업노크눅(Knock Nook)경상북도 경주시 원효로 73-5 (노서동)
3536외국인관광 도시민박업사정동 1-21경상북도 경주시 태종로 728-6 (사정동)
3637외국인관광 도시민박업보담보담경상북도 경주시 금성로182번길 17-1 (사정동)
3738외국인관광 도시민박업읍성 108경상북도 경주시 북성로105번길 5 (북부동)
3839외국인관광 도시민박업경주 마름달경상북도 경주시 중앙로 76-5 (동부동)
3940외국인관광 도시민박업스테이 황촌경상북도 경주시 양정로130번길 6-14 (성동동)
4041외국인관광 도시민박업메종 드 클레어경상북도 경주시 북성로104번길 6 (동부동)
4142외국인관광 도시민박업스테이 레이지 선데이경상북도 경주시 손효자길 17 (황남동)