Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory62.3 B

Variable types

Text2
Numeric2
Categorical3

Dataset

Description밀양시에 있는 캠핑장의 주소, 부지면적, 사이트 수, 관리기관명, 관리기관의 연락처가 포함되어 있는 데이터입니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15101156

Alerts

관리기관명 has constant value ""Constant
관리기관전화 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부지면적(제곱미터) is highly overall correlated with 사이트High correlation
사이트 is highly overall correlated with 부지면적(제곱미터)High correlation
야영장 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:00:45.803682
Analysis finished2023-12-11 01:00:46.527148
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

야영장
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T10:00:46.669309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.2258065
Min length2

Characters and Unicode

Total characters224
Distinct characters98
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st rowVIP오토캠핑장
2nd row가온
3rd row구만산장캠핑장
4th row구천계곡야영장
5th row그린앤블루
ValueCountFrequency (%)
vip오토캠핑장 1
 
3.2%
범도오토캠핑장 1
 
3.2%
향림오토캠핑장 1
 
3.2%
해브솔캠핑 1
 
3.2%
패미리오토캠핑장 1
 
3.2%
캠핑가는날 1
 
3.2%
캠프뽀미에 1
 
3.2%
캠앤캠아지트 1
 
3.2%
초록슈피아캠핑장 1
 
3.2%
좋은카라반 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T10:00:47.205326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
캠 25
 
11.2%
핑 23
 
10.3%
장 22
 
9.8%
오 11
 
4.9%
토 11
 
4.9%
양 8
 
3.6%
밀 8
 
3.6%
아 5
 
2.2%
도 4
 
1.8%
가 3
 
1.3%
Other values (88) 104
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
98.7%
Uppercase Letter 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캠 25
 
11.3%
핑 23
 
10.4%
장 22
 
10.0%
오 11
 
5.0%
토 11
 
5.0%
양 8
 
3.6%
밀 8
 
3.6%
아 5
 
2.3%
도 4
 
1.8%
가 3
 
1.4%
Other values (85) 101
45.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
P 1
33.3%
I 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
98.7%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캠 25
 
11.3%
핑 23
 
10.4%
장 22
 
10.0%
오 11
 
5.0%
토 11
 
5.0%
양 8
 
3.6%
밀 8
 
3.6%
아 5
 
2.3%
도 4
 
1.8%
가 3
 
1.4%
Other values (85) 101
45.7%
Latin
ValueCountFrequency (%)
V 1
33.3%
P 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
98.7%
ASCII 3
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
캠 25
 
11.3%
핑 23
 
10.4%
장 22
 
10.0%
오 11
 
5.0%
토 11
 
5.0%
양 8
 
3.6%
밀 8
 
3.6%
아 5
 
2.3%
도 4
 
1.8%
가 3
 
1.4%
Other values (85) 101
45.7%
ASCII
ValueCountFrequency (%)
V 1
33.3%
P 1
33.3%
I 1
33.3%

위치
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T10:00:47.399456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.677419
Min length13

Characters and Unicode

Total characters548
Distinct characters66
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

Unique31 ?
Unique (%)100.0%

Sample

1st row밀양시 단장면 고례리 1408
2nd row밀양시 산외면 산외강변로 309
3rd row밀양시 산내면 봉의리939
4th row밀양시 단장면 구천리 1386
5th row밀양시 단장면 고례리 1673-9
ValueCountFrequency (%)
밀양시 31
23.7%
단장면 13
 
9.9%
산내면 8
 
6.1%
산외면 5
 
3.8%
고례리 4
 
3.1%
구천리 4
 
3.1%
희곡리 3
 
2.3%
임고리 2
 
1.5%
2필지 2
 
1.5%
하남읍 2
 
1.5%
Other values (54) 57
43.5%
2023-12-11T10:00:47.718512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
18.2%
양 33
 
6.0%
밀 31
 
5.7%
시 31
 
5.7%
1 30
 
5.5%
면 27
 
4.9%
리 24
 
4.4%
3 19
 
3.5%
- 18
 
3.3%
산 16
 
2.9%
Other values (56) 219
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
55.1%
Decimal Number 128
23.4%
Space Separator 100
 
18.2%
Dash Punctuation 18
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 33
 
10.9%
밀 31
 
10.3%
시 31
 
10.3%
면 27
 
8.9%
리 24
 
7.9%
산 16
 
5.3%
외 14
 
4.6%
장 13
 
4.3%
단 13
 
4.3%
내 8
 
2.6%
Other values (44) 92
30.5%
Decimal Number
ValueCountFrequency (%)
1 30
23.4%
3 19
14.8%
2 16
12.5%
4 13
10.2%
8 12
 
9.4%
6 10
 
7.8%
7 8
 
6.2%
0 7
 
5.5%
9 7
 
5.5%
5 6
 
4.7%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
55.1%
Common 246
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 33
 
10.9%
밀 31
 
10.3%
시 31
 
10.3%
면 27
 
8.9%
리 24
 
7.9%
산 16
 
5.3%
외 14
 
4.6%
장 13
 
4.3%
단 13
 
4.3%
내 8
 
2.6%
Other values (44) 92
30.5%
Common
ValueCountFrequency (%)
100
40.7%
1 30
 
12.2%
3 19
 
7.7%
- 18
 
7.3%
2 16
 
6.5%
4 13
 
5.3%
8 12
 
4.9%
6 10
 
4.1%
7 8
 
3.3%
0 7
 
2.8%
Other values (2) 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
55.1%
ASCII 246
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
40.7%
1 30
 
12.2%
3 19
 
7.7%
- 18
 
7.3%
2 16
 
6.5%
4 13
 
5.3%
8 12
 
4.9%
6 10
 
4.1%
7 8
 
3.3%
0 7
 
2.8%
Other values (2) 13
 
5.3%
Hangul
ValueCountFrequency (%)
양 33
 
10.9%
밀 31
 
10.3%
시 31
 
10.3%
면 27
 
8.9%
리 24
 
7.9%
산 16
 
5.3%
외 14
 
4.6%
장 13
 
4.3%
단 13
 
4.3%
내 8
 
2.6%
Other values (44) 92
30.5%

부지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6529.9032
Minimum990
Maximum39610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T10:00:47.841872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum990
5-th percentile1220
Q12770
median4453
Q37818.5
95-th percentile13630.5
Maximum39610
Range38620
Interquartile range (IQR)5048.5

Descriptive statistics

Standard deviation7194.0536
Coefficient of variation (CV)1.1017091
Kurtosis15.074419
Mean6529.9032
Median Absolute Deviation (MAD)2050
Skewness3.4629696
Sum202427
Variance51754407
MonotonicityNot monotonic
2023-12-11T10:00:47.964982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10500 2
 
6.5%
2552 1
 
3.2%
6463 1
 
3.2%
14050 1
 
3.2%
4015 1
 
3.2%
2897 1
 
3.2%
5836 1
 
3.2%
990 1
 
3.2%
2732 1
 
3.2%
2983 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
990 1
3.2%
1064 1
3.2%
1376 1
3.2%
1612 1
3.2%
1828 1
3.2%
2403 1
3.2%
2552 1
3.2%
2732 1
3.2%
2808 1
3.2%
2897 1
3.2%
ValueCountFrequency (%)
39610 1
3.2%
14050 1
3.2%
13211 1
3.2%
12894 1
3.2%
10500 2
6.5%
9850 1
3.2%
8142 1
3.2%
7495 1
3.2%
7322 1
3.2%
6463 1
3.2%

사이트
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.935484
Minimum6
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T10:00:48.074254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q117
median24
Q340
95-th percentile96.5
Maximum200
Range194
Interquartile range (IQR)23

Descriptive statistics

Standard deviation37.413844
Coefficient of variation (CV)1.070941
Kurtosis12.858341
Mean34.935484
Median Absolute Deviation (MAD)11
Skewness3.3025889
Sum1083
Variance1399.7957
MonotonicityNot monotonic
2023-12-11T10:00:48.182178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30 4
 
12.9%
17 3
 
9.7%
40 3
 
9.7%
8 2
 
6.5%
42 2
 
6.5%
14 1
 
3.2%
36 1
 
3.2%
87 1
 
3.2%
24 1
 
3.2%
16 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
6 1
 
3.2%
8 2
6.5%
9 1
 
3.2%
11 1
 
3.2%
14 1
 
3.2%
16 1
 
3.2%
17 3
9.7%
18 1
 
3.2%
19 1
 
3.2%
20 1
 
3.2%
ValueCountFrequency (%)
200 1
 
3.2%
106 1
 
3.2%
87 1
 
3.2%
48 1
 
3.2%
42 2
6.5%
40 3
9.7%
36 1
 
3.2%
35 1
 
3.2%
30 4
12.9%
24 1
 
3.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
밀양시청 관광진흥과
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row밀양시청 관광진흥과
2nd row밀양시청 관광진흥과
3rd row밀양시청 관광진흥과
4th row밀양시청 관광진흥과
5th row밀양시청 관광진흥과

Common Values

ValueCountFrequency (%)
밀양시청 관광진흥과 31
100.0%

Length

2023-12-11T10:00:48.314703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:48.397904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시청 31
50.0%
관광진흥과 31
50.0%

관리기관전화
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
055-359-5782
31 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-359-5782
2nd row055-359-5782
3rd row055-359-5782
4th row055-359-5782
5th row055-359-5782

Common Values

ValueCountFrequency (%)
055-359-5782 31
100.0%

Length

2023-12-11T10:00:48.478913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:48.553935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-359-5782 31
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-08-31
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 31
100.0%

Length

2023-12-11T10:00:48.630547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:48.705389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 31
100.0%

Interactions

2023-12-11T10:00:46.198209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:46.002627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:46.282578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:00:46.117212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:00:48.753515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
야영장위치부지면적(제곱미터)사이트
야영장1.0001.0001.0001.000
위치1.0001.0001.0001.000
부지면적(제곱미터)1.0001.0001.0000.794
사이트1.0001.0000.7941.000
2023-12-11T10:00:48.841465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지면적(제곱미터)사이트
부지면적(제곱미터)1.0000.781
사이트0.7811.000

Missing values

2023-12-11T10:00:46.394581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:00:46.489228image/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

야영장위치부지면적(제곱미터)사이트관리기관명관리기관전화데이터기준일자
0VIP오토캠핑장밀양시 단장면 고례리 1408255214밀양시청 관광진흥과055-359-57822023-08-31
1가온밀양시 산외면 산외강변로 309814230밀양시청 관광진흥과055-359-57822023-08-31
2구만산장캠핑장밀양시 산내면 봉의리939305348밀양시청 관광진흥과055-359-57822023-08-31
3구천계곡야영장밀양시 단장면 구천리 1386399022밀양시청 관광진흥과055-359-57822023-08-31
4그린앤블루밀양시 단장면 고례리 1673-913768밀양시청 관광진흥과055-359-57822023-08-31
5도래재별빛마을캠핑장밀양시 단장면 구천리 1852-7외 1필지312230밀양시청 관광진흥과055-359-57822023-08-31
6물안개오토캠핑장밀양시 단장면 고례리 1491 외1 필지240318밀양시청 관광진흥과055-359-57822023-08-31
7미르오토캠핑장밀양시 산외면 희곡리 22-2529330밀양시청 관광진흥과055-359-57822023-08-31
8밀양가보자캠핑장밀양시 단장면 법흥리 326-6외 4필지445320밀양시청 관광진흥과055-359-57822023-08-31
9밀양댐스쿨캠핑장밀양시 단장면 고례리 1516-1외1106419밀양시청 관광진흥과055-359-57822023-08-31
야영장위치부지면적(제곱미터)사이트관리기관명관리기관전화데이터기준일자
21우니메이카밀양점밀양시 단장면 태룡리 500외 4985035밀양시청 관광진흥과055-359-57822023-08-31
22좋은카라반밀양시 삼랑진읍 행곡3길 64-3474956밀양시청 관광진흥과055-359-57822023-08-31
23초록슈피아캠핑장밀양시 산내면 남명리 1968-8182817밀양시청 관광진흥과055-359-57822023-08-31
24캠앤캠아지트밀양시 단장면 구천리 1381-29298316밀양시청 관광진흥과055-359-57822023-08-31
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