Overview

Dataset statistics

Number of variables14
Number of observations76
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory118.7 B

Variable types

Numeric5
Categorical3
Text5
DateTime1

Dataset

Description경남 도내 청소년 수련시설 현황을 제공합니다. 청소년 수련시설에는 청소년 수련관, 청소년 문화의 집, 청소년 수련원, 야영장, 유스호스텔이 있습니다.
Author경상남도
URLhttps://www.data.go.kr/data/3080825/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
우편번호 is highly overall correlated with 관리기관High correlation
수용능력 is highly overall correlated with 규모_부지(제곱미터) and 1 other fieldsHigh correlation
규모_부지(제곱미터) is highly overall correlated with 수용능력 and 1 other fieldsHigh correlation
규모_연면적(제곱미터) is highly overall correlated with 수용능력 and 1 other fieldsHigh correlation
관리기관 is highly overall correlated with 우편번호High correlation
구분 is highly overall correlated with 연번High correlation
규모_부지(제곱미터) has 1 (1.3%) missing valuesMissing
규모_연면적(제곱미터) has 1 (1.3%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지(도로명주소) has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:53:18.461263
Analysis finished2024-04-21 02:53:23.470333
Duration5.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:53:23.537864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-21T11:53:23.668095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

관리기관
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
창원시
9 
거제시
9 
양산시
6 
통영시
6 
고성군
5 
Other values (13)
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 9
11.8%
거제시 9
11.8%
양산시 6
 
7.9%
통영시 6
 
7.9%
고성군 5
 
6.6%
하동군 5
 
6.6%
창녕군 5
 
6.6%
남해군 4
 
5.3%
거창군 4
 
5.3%
산청군 4
 
5.3%
Other values (8) 19
25.0%

Length

2024-04-21T11:53:23.805965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 9
11.8%
거제시 9
11.8%
양산시 6
 
7.9%
통영시 6
 
7.9%
고성군 5
 
6.6%
하동군 5
 
6.6%
창녕군 5
 
6.6%
의령군 4
 
5.3%
산청군 4
 
5.3%
거창군 4
 
5.3%
Other values (8) 19
25.0%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
청소년수련원
21 
청소년문화의 집
19 
청소년수련관
18 
유스호스텔
14 
야영장
4 

Length

Max length8
Median length6
Mean length6.1578947
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년수련원 21
27.6%
청소년문화의 집 19
25.0%
청소년수련관 18
23.7%
유스호스텔 14
18.4%
야영장 4
 
5.3%

Length

2024-04-21T11:53:24.122612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:53:24.221274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년수련원 21
22.1%
청소년문화의 19
20.0%
집 19
20.0%
청소년수련관 18
18.9%
유스호스텔 14
14.7%
야영장 4
 
4.2%

시설명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:53:24.427598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.3157895
Min length5

Characters and Unicode

Total characters708
Distinct characters129
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row늘푸른전당
2nd row우리누리청소년문화센터
3rd row진해청소년수련관
4th row진해청소년전당
5th row봉림청소년수련관
ValueCountFrequency (%)
유스호스텔 6
 
6.6%
늘푸른전당 1
 
1.1%
통영 1
 
1.1%
황매산청소년야영장 1
 
1.1%
진해청소년야영장 1
 
1.1%
청소년야영장 1
 
1.1%
하동미라클 1
 
1.1%
합천호청소년수련원 1
 
1.1%
거제그린유스타운 1
 
1.1%
덕유산청소년수련원 1
 
1.1%
Other values (76) 76
83.5%
2024-04-21T11:53:24.754694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 59
 
8.3%
소 59
 
8.3%
년 57
 
8.1%
수 33
 
4.7%
련 33
 
4.7%
스 27
 
3.8%
의 22
 
3.1%
화 19
 
2.7%
집 19
 
2.7%
문 19
 
2.7%
Other values (119) 361
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
97.0%
Space Separator 15
 
2.1%
Decimal Number 2
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Final Punctuation 1
 
0.1%
Initial Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 59
 
8.6%
소 59
 
8.6%
년 57
 
8.3%
수 33
 
4.8%
련 33
 
4.8%
스 27
 
3.9%
의 22
 
3.2%
화 19
 
2.8%
집 19
 
2.8%
문 19
 
2.8%
Other values (112) 340
49.5%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
97.0%
Common 21
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 59
 
8.6%
소 59
 
8.6%
년 57
 
8.3%
수 33
 
4.8%
련 33
 
4.8%
스 27
 
3.9%
의 22
 
3.2%
화 19
 
2.8%
집 19
 
2.8%
문 19
 
2.8%
Other values (112) 340
49.5%
Common
ValueCountFrequency (%)
15
71.4%
5 1
 
4.8%
2 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%
” 1
 
4.8%
“ 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
97.0%
ASCII 19
 
2.7%
Punctuation 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 59
 
8.6%
소 59
 
8.6%
년 57
 
8.3%
수 33
 
4.8%
련 33
 
4.8%
스 27
 
3.9%
의 22
 
3.2%
화 19
 
2.8%
집 19
 
2.8%
문 19
 
2.8%
Other values (112) 340
49.5%
ASCII
ValueCountFrequency (%)
15
78.9%
5 1
 
5.3%
2 1
 
5.3%
) 1
 
5.3%
( 1
 
5.3%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%

소재지(도로명주소)
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:53:25.043871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length16.236842
Min length10

Characters and Unicode

Total characters1234
Distinct characters146
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row창원시 성산구 두대로 97
2nd row창원시 마산회원구 팔용로 128
3rd row창원시 진해구 진해대로 1101
4th row창원시 진해구 중원로 33
5th row창원시 의창구 봉곡로 93번길 39-1
ValueCountFrequency (%)
창원시 9
 
3.1%
거제시 9
 
3.1%
통영시 6
 
2.0%
양산시 6
 
2.0%
고성군 5
 
1.7%
하동군 5
 
1.7%
창녕군 5
 
1.7%
산청군 4
 
1.4%
진해구 4
 
1.4%
남해군 4
 
1.4%
Other values (205) 236
80.5%
2024-04-21T11:53:25.455635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
17.9%
로 56
 
4.5%
1 53
 
4.3%
2 41
 
3.3%
시 38
 
3.1%
군 38
 
3.1%
면 36
 
2.9%
길 31
 
2.5%
- 27
 
2.2%
5 27
 
2.2%
Other values (136) 666
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
57.5%
Decimal Number 275
 
22.3%
Space Separator 221
 
17.9%
Dash Punctuation 27
 
2.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 56
 
7.9%
시 38
 
5.4%
군 38
 
5.4%
면 36
 
5.1%
길 31
 
4.4%
창 24
 
3.4%
산 22
 
3.1%
거 18
 
2.5%
해 17
 
2.4%
읍 15
 
2.1%
Other values (122) 414
58.4%
Decimal Number
ValueCountFrequency (%)
1 53
19.3%
2 41
14.9%
5 27
9.8%
3 26
9.5%
9 24
8.7%
4 23
8.4%
6 23
8.4%
7 22
8.0%
0 18
 
6.5%
8 18
 
6.5%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
57.5%
Common 525
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 56
 
7.9%
시 38
 
5.4%
군 38
 
5.4%
면 36
 
5.1%
길 31
 
4.4%
창 24
 
3.4%
산 22
 
3.1%
거 18
 
2.5%
해 17
 
2.4%
읍 15
 
2.1%
Other values (122) 414
58.4%
Common
ValueCountFrequency (%)
221
42.1%
1 53
 
10.1%
2 41
 
7.8%
- 27
 
5.1%
5 27
 
5.1%
3 26
 
5.0%
9 24
 
4.6%
4 23
 
4.4%
6 23
 
4.4%
7 22
 
4.2%
Other values (4) 38
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
57.5%
ASCII 525
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
42.1%
1 53
 
10.1%
2 41
 
7.8%
- 27
 
5.1%
5 27
 
5.1%
3 26
 
5.0%
9 24
 
4.6%
4 23
 
4.4%
6 23
 
4.4%
7 22
 
4.2%
Other values (4) 38
 
7.2%
Hangul
ValueCountFrequency (%)
로 56
 
7.9%
시 38
 
5.4%
군 38
 
5.4%
면 36
 
5.1%
길 31
 
4.4%
창 24
 
3.4%
산 22
 
3.1%
거 18
 
2.5%
해 17
 
2.4%
읍 15
 
2.1%
Other values (122) 414
58.4%

소재지(지번주소)
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:53:25.772393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length15.736842
Min length9

Characters and Unicode

Total characters1196
Distinct characters123
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

Unique74 ?
Unique (%)97.4%

Sample

1st row창원시 성산구 삼동동 293
2nd row창원시 마산회원구 합성동 93
3rd row창원시 진해구 풍호동 1
4th row창원시 진해구 중평동 4-1
5th row창원시 의창구 봉림동 246-5
ValueCountFrequency (%)
창원시 9
 
3.0%
거제시 9
 
3.0%
통영시 6
 
2.0%
양산시 6
 
2.0%
하동군 5
 
1.7%
고성군 5
 
1.7%
창녕군 5
 
1.7%
의령군 4
 
1.3%
남해군 4
 
1.3%
산청군 4
 
1.3%
Other values (206) 240
80.8%
2024-04-21T11:53:26.198816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
18.6%
1 58
 
4.8%
리 53
 
4.4%
- 46
 
3.8%
시 39
 
3.3%
군 38
 
3.2%
동 37
 
3.1%
면 37
 
3.1%
2 30
 
2.5%
4 27
 
2.3%
Other values (113) 608
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
55.2%
Decimal Number 267
22.3%
Space Separator 223
 
18.6%
Dash Punctuation 46
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 53
 
8.0%
시 39
 
5.9%
군 38
 
5.8%
동 37
 
5.6%
면 37
 
5.6%
산 24
 
3.6%
창 24
 
3.6%
읍 17
 
2.6%
거 15
 
2.3%
성 15
 
2.3%
Other values (101) 361
54.7%
Decimal Number
ValueCountFrequency (%)
1 58
21.7%
2 30
11.2%
4 27
10.1%
6 25
9.4%
0 24
9.0%
3 23
 
8.6%
7 22
 
8.2%
9 21
 
7.9%
5 19
 
7.1%
8 18
 
6.7%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
55.2%
Common 536
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 53
 
8.0%
시 39
 
5.9%
군 38
 
5.8%
동 37
 
5.6%
면 37
 
5.6%
산 24
 
3.6%
창 24
 
3.6%
읍 17
 
2.6%
거 15
 
2.3%
성 15
 
2.3%
Other values (101) 361
54.7%
Common
ValueCountFrequency (%)
223
41.6%
1 58
 
10.8%
- 46
 
8.6%
2 30
 
5.6%
4 27
 
5.0%
6 25
 
4.7%
0 24
 
4.5%
3 23
 
4.3%
7 22
 
4.1%
9 21
 
3.9%
Other values (2) 37
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
55.2%
ASCII 536
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
41.6%
1 58
 
10.8%
- 46
 
8.6%
2 30
 
5.6%
4 27
 
5.0%
6 25
 
4.7%
0 24
 
4.5%
3 23
 
4.3%
7 22
 
4.1%
9 21
 
3.9%
Other values (2) 37
 
6.9%
Hangul
ValueCountFrequency (%)
리 53
 
8.0%
시 39
 
5.9%
군 38
 
5.8%
동 37
 
5.6%
면 37
 
5.6%
산 24
 
3.6%
창 24
 
3.6%
읍 17
 
2.6%
거 15
 
2.3%
성 15
 
2.3%
Other values (101) 361
54.7%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51815.618
Minimum50004
Maximum53334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:53:26.326972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50004
5-th percentile50140.5
Q150515.5
median52141
Q352915.25
95-th percentile53313.5
Maximum53334
Range3330
Interquartile range (IQR)2399.75

Descriptive statistics

Standard deviation1114.4686
Coefficient of variation (CV)0.021508352
Kurtosis-1.4049555
Mean51815.618
Median Absolute Deviation (MAD)929.5
Skewness-0.25266024
Sum3937987
Variance1242040.2
MonotonicityNot monotonic
2024-04-21T11:53:26.471927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53334 2
 
2.6%
53063 2
 
2.6%
52440 2
 
2.6%
52445 2
 
2.6%
52247 1
 
1.3%
52244 1
 
1.3%
52309 1
 
1.3%
52318 1
 
1.3%
50315 1
 
1.3%
52056 1
 
1.3%
Other values (62) 62
81.6%
ValueCountFrequency (%)
50004 1
1.3%
50100 1
1.3%
50111 1
1.3%
50130 1
1.3%
50144 1
1.3%
50216 1
1.3%
50231 1
1.3%
50245 1
1.3%
50301 1
1.3%
50315 1
1.3%
ValueCountFrequency (%)
53334 2
2.6%
53332 1
1.3%
53330 1
1.3%
53308 1
1.3%
53257 1
1.3%
53246 1
1.3%
53230 1
1.3%
53208 1
1.3%
53103 1
1.3%
53085 1
1.3%

수용능력
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean372.39474
Minimum24
Maximum1523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:53:26.596909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile63.5
Q1128.25
median300
Q3492.5
95-th percentile1039.5
Maximum1523
Range1499
Interquartile range (IQR)364.25

Descriptive statistics

Standard deviation318.1085
Coefficient of variation (CV)0.85422393
Kurtosis2.9658453
Mean372.39474
Median Absolute Deviation (MAD)180
Skewness1.6544896
Sum28302
Variance101193.02
MonotonicityNot monotonic
2024-04-21T11:53:26.723984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 5
 
6.6%
500 5
 
6.6%
120 5
 
6.6%
250 4
 
5.3%
400 3
 
3.9%
180 3
 
3.9%
100 3
 
3.9%
150 2
 
2.6%
73 2
 
2.6%
364 2
 
2.6%
Other values (41) 42
55.3%
ValueCountFrequency (%)
24 1
 
1.3%
40 1
 
1.3%
60 1
 
1.3%
62 1
 
1.3%
64 1
 
1.3%
73 2
2.6%
80 1
 
1.3%
90 1
 
1.3%
99 1
 
1.3%
100 3
3.9%
ValueCountFrequency (%)
1523 1
1.3%
1472 1
1.3%
1078 1
1.3%
1041 1
1.3%
1039 1
1.3%
935 1
1.3%
915 1
1.3%
840 1
1.3%
760 1
1.3%
750 1
1.3%

규모_부지(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct75
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean14932.293
Minimum275
Maximum192474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:53:26.866193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum275
5-th percentile703.5
Q11471
median5737.2
Q317336
95-th percentile49853.2
Maximum192474
Range192199
Interquartile range (IQR)15865

Descriptive statistics

Standard deviation26064.249
Coefficient of variation (CV)1.7454954
Kurtosis29.059404
Mean14932.293
Median Absolute Deviation (MAD)4716.2
Skewness4.6780103
Sum1119922
Variance6.7934509 × 108
MonotonicityNot monotonic
2024-04-21T11:53:27.008440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31780.0 1
 
1.3%
2787.0 1
 
1.3%
30123.0 1
 
1.3%
46426.0 1
 
1.3%
17140.0 1
 
1.3%
10664.0 1
 
1.3%
23325.5 1
 
1.3%
7008.0 1
 
1.3%
8479.0 1
 
1.3%
10510.0 1
 
1.3%
Other values (65) 65
85.5%
ValueCountFrequency (%)
275.0 1
1.3%
412.0 1
1.3%
417.0 1
1.3%
525.0 1
1.3%
780.0 1
1.3%
847.0 1
1.3%
905.0 1
1.3%
964.0 1
1.3%
985.0 1
1.3%
1013.0 1
1.3%
ValueCountFrequency (%)
192474.0 1
1.3%
68580.0 1
1.3%
57973.0 1
1.3%
56380.0 1
1.3%
47056.0 1
1.3%
46426.0 1
1.3%
45542.0 1
1.3%
43917.0 1
1.3%
38374.0 1
1.3%
32203.0 1
1.3%

규모_연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct74
Distinct (%)98.7%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2984.098
Minimum250
Maximum14413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-21T11:53:27.139064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile497.9
Q11002.5
median2224.58
Q33807.5
95-th percentile10066.7
Maximum14413
Range14163
Interquartile range (IQR)2805

Descriptive statistics

Standard deviation2879.3253
Coefficient of variation (CV)0.96488965
Kurtosis4.5123698
Mean2984.098
Median Absolute Deviation (MAD)1352.58
Skewness2.0275536
Sum223807.35
Variance8290514.1
MonotonicityNot monotonic
2024-04-21T11:53:27.263916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1419.0 2
 
2.6%
11994.0 1
 
1.3%
3395.0 1
 
1.3%
3619.0 1
 
1.3%
3011.0 1
 
1.3%
1356.63 1
 
1.3%
2687.84 1
 
1.3%
2232.4 1
 
1.3%
2342.6 1
 
1.3%
9629.0 1
 
1.3%
Other values (64) 64
84.2%
ValueCountFrequency (%)
250.0 1
1.3%
358.0 1
1.3%
397.5 1
1.3%
416.0 1
1.3%
533.0 1
1.3%
604.0 1
1.3%
684.0 1
1.3%
713.0 1
1.3%
716.0 1
1.3%
732.0 1
1.3%
ValueCountFrequency (%)
14413.0 1
1.3%
11994.0 1
1.3%
11274.0 1
1.3%
11088.0 1
1.3%
9629.0 1
1.3%
6107.03 1
1.3%
6100.0 1
1.3%
5984.0 1
1.3%
5875.26 1
1.3%
5525.0 1
1.3%

연락처
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:53:27.500438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.026316
Min length12

Characters and Unicode

Total characters914
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

Unique76 ?
Unique (%)100.0%

Sample

1st row055-712-0372
2nd row055-712-0320
3rd row055-540-0129
4th row055-540-3400
5th row055-237-1504
ValueCountFrequency (%)
055-712-0372 1
 
1.3%
055-867-4510 1
 
1.3%
055-943-6311 1
 
1.3%
055-945-1913 1
 
1.3%
055-964-8300 1
 
1.3%
055-973-9262 1
 
1.3%
055-974-1100 1
 
1.3%
055-884-1300 1
 
1.3%
055-883-7280 1
 
1.3%
055-712-0320 1
 
1.3%
Other values (66) 66
86.8%
2024-04-21T11:53:27.898131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 206
22.5%
- 152
16.6%
0 147
16.1%
3 65
 
7.1%
7 54
 
5.9%
8 52
 
5.7%
1 49
 
5.4%
2 49
 
5.4%
6 49
 
5.4%
4 46
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 762
83.4%
Dash Punctuation 152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 206
27.0%
0 147
19.3%
3 65
 
8.5%
7 54
 
7.1%
8 52
 
6.8%
1 49
 
6.4%
2 49
 
6.4%
6 49
 
6.4%
4 46
 
6.0%
9 45
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 206
22.5%
- 152
16.6%
0 147
16.1%
3 65
 
7.1%
7 54
 
5.9%
8 52
 
5.7%
1 49
 
5.4%
2 49
 
5.4%
6 49
 
5.4%
4 46
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 206
22.5%
- 152
16.6%
0 147
16.1%
3 65
 
7.1%
7 54
 
5.9%
8 52
 
5.7%
1 49
 
5.4%
2 49
 
5.4%
6 49
 
5.4%
4 46
 
5.0%

대표자명
Text

Distinct50
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-21T11:53:28.086178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.2236842
Min length2

Characters and Unicode

Total characters321
Distinct characters100
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)47.4%

Sample

1st row창원시장
2nd row창원시장
3rd row창원시장
4th row창원시장
5th row창원시장
ValueCountFrequency (%)
창원시장 9
 
11.5%
거제시장 4
 
5.1%
창녕군수 4
 
5.1%
거창군수 3
 
3.8%
산청군수 2
 
2.6%
함안군수 2
 
2.6%
통영시장 2
 
2.6%
하동군수 2
 
2.6%
고성군수 2
 
2.6%
양산시장 2
 
2.6%
Other values (42) 46
59.0%
2024-04-21T11:53:28.386585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 25
 
7.8%
시 24
 
7.5%
수 20
 
6.2%
군 18
 
5.6%
창 17
 
5.3%
원 12
 
3.7%
거 7
 
2.2%
) 6
 
1.9%
사 6
 
1.9%
성 6
 
1.9%
Other values (90) 180
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
95.6%
Close Punctuation 6
 
1.9%
Open Punctuation 5
 
1.6%
Space Separator 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 25
 
8.1%
시 24
 
7.8%
수 20
 
6.5%
군 18
 
5.9%
창 17
 
5.5%
원 12
 
3.9%
거 7
 
2.3%
사 6
 
2.0%
성 6
 
2.0%
산 5
 
1.6%
Other values (86) 167
54.4%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
96.0%
Common 13
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 25
 
8.1%
시 24
 
7.8%
수 20
 
6.5%
군 18
 
5.8%
창 17
 
5.5%
원 12
 
3.9%
거 7
 
2.3%
사 6
 
1.9%
성 6
 
1.9%
산 5
 
1.6%
Other values (87) 168
54.5%
Common
ValueCountFrequency (%)
) 6
46.2%
( 5
38.5%
2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
95.6%
ASCII 13
 
4.0%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 25
 
8.1%
시 24
 
7.8%
수 20
 
6.5%
군 18
 
5.9%
창 17
 
5.5%
원 12
 
3.9%
거 7
 
2.3%
사 6
 
2.0%
성 6
 
2.0%
산 5
 
1.6%
Other values (86) 167
54.4%
ASCII
ValueCountFrequency (%)
) 6
46.2%
( 5
38.5%
2
 
15.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

운영여부
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
운영중
64 
휴지
12 

Length

Max length3
Median length3
Mean length2.8421053
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 64
84.2%
휴지 12
 
15.8%

Length

2024-04-21T11:53:28.506382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:53:28.593459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 64
84.2%
휴지 12
 
15.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-04-21T11:53:28.666137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:28.758072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:53:22.571143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:20.764615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.253273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.683285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.131856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.651044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:20.903276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.340145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.788245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.221692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.742909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:20.982837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.420372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.873030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.316241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.846653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.062191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.504766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.952129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.397185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.964254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.157126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:21.592517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.037776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:53:22.484607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:53:28.831636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리기관구분시설명소재지(도로명주소)소재지(지번주소)우편번호수용능력규모_부지(제곱미터)규모_연면적(제곱미터)연락처대표자명운영여부
연번1.0000.6680.9851.0001.0001.0000.6620.5580.0000.4031.0000.7420.377
관리기관0.6681.0000.0001.0001.0001.0000.9560.6890.0000.0001.0001.0000.000
구분0.9850.0001.0001.0001.0001.0000.0750.5620.6760.5271.0000.0770.382
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명주소)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(지번주소)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9711.000
우편번호0.6620.9560.0751.0001.0001.0001.0000.3320.3960.0001.0000.8810.000
수용능력0.5580.6890.5621.0001.0001.0000.3321.0000.6000.8901.0000.8120.322
규모_부지(제곱미터)0.0000.0000.6761.0001.0001.0000.3960.6001.0000.4271.0000.0000.000
규모_연면적(제곱미터)0.4030.0000.5271.0001.0001.0000.0000.8900.4271.0001.0000.0000.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명0.7421.0000.0771.0001.0000.9710.8810.8120.0000.0001.0001.0001.000
운영여부0.3770.0000.3821.0001.0001.0000.0000.3220.0000.0001.0001.0001.000
2024-04-21T11:53:28.950840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영여부구분관리기관
운영여부1.0000.4550.000
구분0.4551.0000.000
관리기관0.0000.0001.000
2024-04-21T11:53:29.031888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호수용능력규모_부지(제곱미터)규모_연면적(제곱미터)관리기관구분운영여부
연번1.0000.142-0.2940.135-0.2010.3150.8040.274
우편번호0.1421.000-0.056-0.1950.0290.7540.0680.000
수용능력-0.294-0.0561.0000.6510.7830.2740.3560.304
규모_부지(제곱미터)0.135-0.1950.6511.0000.5990.0000.3120.000
규모_연면적(제곱미터)-0.2010.0290.7830.5991.0000.0000.3310.000
관리기관0.3150.7540.2740.0000.0001.0000.0000.000
구분0.8040.0680.3560.3120.3310.0001.0000.455
운영여부0.2740.0000.3040.0000.0000.0000.4551.000

Missing values

2024-04-21T11:53:23.111524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:53:23.295698image/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.
2024-04-21T11:53:23.420954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번관리기관구분시설명소재지(도로명주소)소재지(지번주소)우편번호수용능력규모_부지(제곱미터)규모_연면적(제곱미터)연락처대표자명운영여부데이터기준일
01창원시청소년수련관늘푸른전당창원시 성산구 두대로 97창원시 성산구 삼동동 29351412147231780.011994.0055-712-0372창원시장운영중2023-12-31
12창원시청소년수련관우리누리청소년문화센터창원시 마산회원구 팔용로 128창원시 마산회원구 합성동 9351358152329689.014413.0055-712-0320창원시장운영중2023-12-31
23창원시청소년수련관진해청소년수련관창원시 진해구 진해대로 1101창원시 진해구 풍호동 15162950017532.03862.0055-540-0129창원시장운영중2023-12-31
34창원시청소년수련관진해청소년전당창원시 진해구 중원로 33창원시 진해구 중평동 4-1516775003303.04871.0055-540-3400창원시장운영중2023-12-31
45창원시청소년수련관봉림청소년수련관창원시 의창구 봉곡로 93번길 39-1창원시 의창구 봉림동 246-5511453601373.02119.0055-237-1504창원시장운영중2023-12-31
56진주시청소년수련관진주시청소년수련관진주시 남강로 651번길 12진주시 본성동 5526918405737.24454.0055-749-5453진주시장운영중2023-12-31
67사천시청소년수련관사천시청소년수련관사천시 문선4길 23사천시 벌리동 427-15256145010153.05281.0055-831-4510사천시장운영중2023-12-31
78김해시청소년수련관김해시청소년수련관김해시 진영읍 김해대로 257김해시 진영읍 진영리 13405086010416042.05020.0055-346-2100김해시장운영중2023-12-31
89밀양시청소년수련관밀양시청소년수련관밀양시 삼문송림길 26밀양시 삼문동 4-19504365008784.03753.0055-352-5164밀양시장운영중2023-12-31
910거제시청소년수련관거제시청소년수련관거제시 계룡로 175거제시 고현동 7675325710397630.04861.98055-639-8162거제시장운영중2023-12-31
연번관리기관구분시설명소재지(도로명주소)소재지(지번주소)우편번호수용능력규모_부지(제곱미터)규모_연면적(제곱미터)연락처대표자명운영여부데이터기준일
6667거제시유스호스텔거제썬트리팜거제시 남부면 거제대로 283거제시 남부면 다대리 246-85333436432203.02665.0055-632-7977임진강운영중2023-12-31
6768거제시유스호스텔거제해와나루 유스호스텔거제시 연초면 연하해안로 284거제시 연초면 오비리 176-1532081389800.05984.0055-637-4950㈜해성 이성관운영중2023-12-31
6869거제시유스호스텔힐포인트 유스호스텔거제시 남부면 해금강로 98-1거제시 남부면 갈곶리 347-6 외2필지53334178<NA><NA>0507-1407-0772김창용운영중2023-12-31
6970양산시유스호스텔늘푸른유스호스텔 (통도사 내 위치)양산시 하북면 통도사로 108양산시 하북면 지산시 645-8번지 외 2필지50501804995.0782.1055-384-7085통도사휴지2023-12-31
7071양산시유스호스텔유스호스텔 파래소양산시 원동면 청수골길 9양산시 원동면 선리 108505003794071.04157.21055-388-7721오규현휴지2023-12-31
7172창녕군유스호스텔우포생태촌 유스호스텔창녕군 이방면 우포2로 330창녕군 이방면 안리 1364-55030111313746.01143.36055-530-1527창녕군수운영중2023-12-31
7273고성군유스호스텔비비파크 유스호스텔고성군 고성읍 신월2길 68고성군 고성읍 신월리 58-1번지 외 4필지52949621904.0817.0055-672-0155(주)다성홀릭(이형숙)운영중2023-12-31
7374고성군유스호스텔고성 한산 마리나고성군 회화면 회진로 519고성군 회화면 봉동리 142 외 9필지52916244803.01419.0055-673-7997(주)한어울고성점(구길용)운영중2023-12-31
7475남해군유스호스텔상주비치유스호스텔남해군 상주면상주로 60번길 15남해군 상주면 상주리 1654-5524401501312.01663.41055-863-6001하동현운영중2023-12-31
7576남해군유스호스텔상주유스호스텔남해군 상주면 남해대로 674남해군 상주면 상주리 640-65244040275.0397.5055-862-6079안상욱운영중2023-12-31