Overview

Dataset statistics

Number of variables5
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description인천광역시 야영장업 현황입니다.[야영장 수, 야영장소재지, 야영장업종분류(일반야영장업, 자동차야영장업) 야영장명, 야영장주소]을 제공하고 있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15121094&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구 and 1 other fieldsHigh correlation
군구 is highly overall correlated with 연번High correlation
업종중분류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:38:30.661757
Analysis finished2024-03-18 01:38:32.182319
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-18T10:38:32.246945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2024-03-18T10:38:32.354454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%
97 1
0.9%

군구
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size980.0 B
강화군
62 
옹진군
27 
중구
9 
남동구
 
3
연수구
 
2
Other values (2)
 
3

Length

Max length3
Median length3
Mean length2.8962264
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
강화군 62
58.5%
옹진군 27
25.5%
중구 9
 
8.5%
남동구 3
 
2.8%
연수구 2
 
1.9%
서구 2
 
1.9%
계양구 1
 
0.9%

Length

2024-03-18T10:38:32.465074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:38:32.552418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강화군 62
58.5%
옹진군 27
25.5%
중구 9
 
8.5%
남동구 3
 
2.8%
연수구 2
 
1.9%
서구 2
 
1.9%
계양구 1
 
0.9%

업종중분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
일반야영장업
87 
자동차야영장업
19 

Length

Max length7
Median length6
Mean length6.1792453
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반야영장업 87
82.1%
자동차야영장업 19
 
17.9%

Length

2024-03-18T10:38:32.641292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:38:32.713592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반야영장업 87
82.1%
자동차야영장업 19
 
17.9%

업체명
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-03-18T10:38:32.903325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8.7169811
Min length3

Characters and Unicode

Total characters924
Distinct characters203
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

Unique106 ?
Unique (%)100.0%

Sample

1st row강화고인돌캠핑장
2nd row교동아일랜드
3rd row선두바다캠핑장
4th row덕산국민여가캠핑장(공공)
5th row행복한소풍캠핑장
ValueCountFrequency (%)
캠핑장 6
 
4.2%
카라반 5
 
3.5%
야영장 3
 
2.1%
글램핑 2
 
1.4%
영종씨사이드캠핑장 2
 
1.4%
캠핑장(공공 2
 
1.4%
야영장(공공 2
 
1.4%
임시야영장 2
 
1.4%
오토캠핑장 2
 
1.4%
하와이언캠프 1
 
0.7%
Other values (117) 117
81.2%
2024-03-18T10:38:33.245939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
13.5%
핑 68
 
7.4%
장 66
 
7.1%
캠 61
 
6.6%
공 20
 
2.2%
영 18
 
1.9%
라 15
 
1.6%
카 13
 
1.4%
야 12
 
1.3%
글 12
 
1.3%
Other values (193) 514
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
81.8%
Space Separator 125
 
13.5%
Lowercase Letter 13
 
1.4%
Close Punctuation 12
 
1.3%
Open Punctuation 12
 
1.3%
Uppercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
핑 68
 
9.0%
장 66
 
8.7%
캠 61
 
8.1%
공 20
 
2.6%
영 18
 
2.4%
라 15
 
2.0%
카 13
 
1.7%
야 12
 
1.6%
글 12
 
1.6%
리 12
 
1.6%
Other values (176) 459
60.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
t 2
15.4%
u 1
 
7.7%
r 1
 
7.7%
n 1
 
7.7%
s 1
 
7.7%
k 1
 
7.7%
a 1
 
7.7%
l 1
 
7.7%
c 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
81.8%
Common 152
 
16.5%
Latin 16
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
핑 68
 
9.0%
장 66
 
8.7%
캠 61
 
8.1%
공 20
 
2.6%
영 18
 
2.4%
라 15
 
2.0%
카 13
 
1.7%
야 12
 
1.6%
글 12
 
1.6%
리 12
 
1.6%
Other values (176) 459
60.7%
Latin
ValueCountFrequency (%)
e 3
18.8%
S 2
12.5%
t 2
12.5%
u 1
 
6.2%
r 1
 
6.2%
B 1
 
6.2%
n 1
 
6.2%
s 1
 
6.2%
k 1
 
6.2%
a 1
 
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
125
82.2%
) 12
 
7.9%
( 12
 
7.9%
& 2
 
1.3%
` 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
81.8%
ASCII 168
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
74.4%
) 12
 
7.1%
( 12
 
7.1%
e 3
 
1.8%
S 2
 
1.2%
t 2
 
1.2%
& 2
 
1.2%
u 1
 
0.6%
r 1
 
0.6%
B 1
 
0.6%
Other values (7) 7
 
4.2%
Hangul
ValueCountFrequency (%)
핑 68
 
9.0%
장 66
 
8.7%
캠 61
 
8.1%
공 20
 
2.6%
영 18
 
2.4%
라 15
 
2.0%
카 13
 
1.7%
야 12
 
1.6%
글 12
 
1.6%
리 12
 
1.6%
Other values (176) 459
60.7%

주소(도로명)
Text

Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-03-18T10:38:33.441711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length18.735849
Min length9

Characters and Unicode

Total characters1986
Distinct characters120
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row강화군 하점면 장정리 989,989-1, 990-1
2nd row강화군 교동면 교동남로 275
3rd row강화군 길상면 선두리 973-9번지
4th row강화군 내가면 강화서로227번길 91
5th row강화군 화도면 내리 1498-1
ValueCountFrequency (%)
강화군 61
 
14.3%
옹진군 27
 
6.3%
영흥면 22
 
5.2%
길상면 21
 
4.9%
화도면 14
 
3.3%
해안남로 12
 
2.8%
중구 9
 
2.1%
삼산면 9
 
2.1%
내리 8
 
1.9%
외 6
 
1.4%
Other values (199) 238
55.7%
2024-03-18T10:38:33.773706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
16.2%
1 97
 
4.9%
군 88
 
4.4%
면 85
 
4.3%
화 80
 
4.0%
2 78
 
3.9%
- 69
 
3.5%
강 64
 
3.2%
로 56
 
2.8%
길 54
 
2.7%
Other values (110) 994
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1048
52.8%
Decimal Number 530
26.7%
Space Separator 321
 
16.2%
Dash Punctuation 69
 
3.5%
Other Punctuation 8
 
0.4%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 88
 
8.4%
면 85
 
8.1%
화 80
 
7.6%
강 64
 
6.1%
로 56
 
5.3%
길 54
 
5.2%
리 39
 
3.7%
번 38
 
3.6%
흥 33
 
3.1%
영 29
 
2.8%
Other values (95) 482
46.0%
Decimal Number
ValueCountFrequency (%)
1 97
18.3%
2 78
14.7%
5 52
9.8%
3 50
9.4%
6 49
9.2%
9 45
8.5%
4 43
8.1%
7 42
7.9%
8 38
 
7.2%
0 36
 
6.8%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1048
52.8%
Common 938
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 88
 
8.4%
면 85
 
8.1%
화 80
 
7.6%
강 64
 
6.1%
로 56
 
5.3%
길 54
 
5.2%
리 39
 
3.7%
번 38
 
3.6%
흥 33
 
3.1%
영 29
 
2.8%
Other values (95) 482
46.0%
Common
ValueCountFrequency (%)
321
34.2%
1 97
 
10.3%
2 78
 
8.3%
- 69
 
7.4%
5 52
 
5.5%
3 50
 
5.3%
6 49
 
5.2%
9 45
 
4.8%
4 43
 
4.6%
7 42
 
4.5%
Other values (5) 92
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1048
52.8%
ASCII 938
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
34.2%
1 97
 
10.3%
2 78
 
8.3%
- 69
 
7.4%
5 52
 
5.5%
3 50
 
5.3%
6 49
 
5.2%
9 45
 
4.8%
4 43
 
4.6%
7 42
 
4.5%
Other values (5) 92
 
9.8%
Hangul
ValueCountFrequency (%)
군 88
 
8.4%
면 85
 
8.1%
화 80
 
7.6%
강 64
 
6.1%
로 56
 
5.3%
길 54
 
5.2%
리 39
 
3.7%
번 38
 
3.6%
흥 33
 
3.1%
영 29
 
2.8%
Other values (95) 482
46.0%

Interactions

2024-03-18T10:38:31.939941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T10:38:33.879499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구업종중분류
연번1.0000.7660.848
군구0.7661.0000.226
업종중분류0.8480.2261.000
2024-03-18T10:38:33.950936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구업종중분류
군구1.0000.235
업종중분류0.2351.000
2024-03-18T10:38:34.014930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구업종중분류
연번1.0000.5200.653
군구0.5201.0000.235
업종중분류0.6530.2351.000

Missing values

2024-03-18T10:38:32.064670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:38:32.142965image/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

연번군구업종중분류업체명주소(도로명)
01강화군일반야영장업강화고인돌캠핑장강화군 하점면 장정리 989,989-1, 990-1
12강화군일반야영장업교동아일랜드강화군 교동면 교동남로 275
23강화군일반야영장업선두바다캠핑장강화군 길상면 선두리 973-9번지
34강화군일반야영장업덕산국민여가캠핑장(공공)강화군 내가면 강화서로227번길 91
45강화군일반야영장업행복한소풍캠핑장강화군 화도면 내리 1498-1
56강화군일반야영장업하랑캠핑장강화군 내가면 고천리 1259-14, 1259-15, 1259-16
67강화군일반야영장업바다로글램핑강화군 화도면 해안남로 2421-228
78강화군일반야영장업얏호캠핑장강화군 길상면 동검길159-25
89강화군일반야영장업오크힐글램핑강화군 화도면 해안남로 1998번길 8-28
910강화군일반야영장업강화캠핑파크강화군 길상면 신촌로146번길 14-11
연번군구업종중분류업체명주소(도로명)
9697중구자동차야영장업영종씨사이드캠핑장중구 운남동 1640-1
9798중구자동차야영장업만정캠핑장중구 중산로29번길 174
9899연수구일반야영장업송도스포츠캠핑장(공공)연수구 인천신항대로892번길40 (송도동)
99100연수구자동차야영장업인천송도국제캠핑장연수구 지식기반로 60(송도동 221-2)
100101남동구일반야영장업인천대공원 캠핑장남동구 장수동 456번지 일원
101102남동구일반야영장업에제르파크남동구 만의골로 155
102103남동구일반야영장업서창캠핑장남동구 운연로 31
103104계양구일반야영장업두리캠핑장(공공)계양구 귤현동 28-1
104105서구자동차야영장업청라캠핑파크서구 첨단서로190 (청라동)
105106서구자동차야영장업수도권매립지 캠핑장(공공)서구 정서진로 500 (오류동)