Overview

Dataset statistics

Number of variables9
Number of observations428
Missing cells6
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory75.3 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description전라남도 해남군 야외운동기구 현황입니다
Author전라남도 해남군
URLhttps://www.data.go.kr/data/15098117/fileData.do

Alerts

읍면 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
관리부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 읍면 and 1 other fieldsHigh correlation
설치년도 is highly overall correlated with 수량High correlation
수량 is highly overall correlated with 설치년도High correlation
주이용자 is highly imbalanced (89.8%)Imbalance
관리자 has 6 (1.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:38:13.575779
Analysis finished2023-12-12 14:38:15.697730
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct428
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.5
Minimum1
Maximum428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-12T23:38:15.801227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.35
Q1107.75
median214.5
Q3321.25
95-th percentile406.65
Maximum428
Range427
Interquartile range (IQR)213.5

Descriptive statistics

Standard deviation123.69721
Coefficient of variation (CV)0.57667697
Kurtosis-1.2
Mean214.5
Median Absolute Deviation (MAD)107
Skewness0
Sum91806
Variance15301
MonotonicityStrictly increasing
2023-12-12T23:38:15.930567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
296 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
Other values (418) 418
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%
420 1
0.2%
419 1
0.2%

읍면
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
해남
42 
송지
41 
문내
35 
삼산
35 
화산
34 
Other values (9)
241 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해남 42
9.8%
송지 41
9.6%
문내 35
 
8.2%
삼산 35
 
8.2%
화산 34
 
7.9%
현산 32
 
7.5%
황산 32
 
7.5%
산이 30
 
7.0%
화원 28
 
6.5%
마산 25
 
5.8%
Other values (4) 94
22.0%

Length

2023-12-12T23:38:16.066268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해남 42
9.8%
송지 41
9.6%
문내 35
 
8.2%
삼산 35
 
8.2%
화산 34
 
7.9%
현산 32
 
7.5%
황산 32
 
7.5%
산이 30
 
7.0%
화원 28
 
6.5%
마산 25
 
5.8%
Other values (4) 94
22.0%

리
Text

Distinct334
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T23:38:16.427001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.0373832
Min length2

Characters and Unicode

Total characters872
Distinct characters170
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

Unique275 ?
Unique (%)64.3%

Sample

1st row가학
2nd row신평
3rd row여수
4th row둔주
5th row가학
ValueCountFrequency (%)
해리 10
 
2.3%
신기 6
 
1.4%
어란 4
 
0.9%
남창 4
 
0.9%
화내 4
 
0.9%
신정 4
 
0.9%
남동 4
 
0.9%
내동 3
 
0.7%
학동 3
 
0.7%
탑동 3
 
0.7%
Other values (324) 383
89.5%
2023-12-12T23:38:17.096522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 46
 
5.3%
신 42
 
4.8%
산 28
 
3.2%
리 22
 
2.5%
남 22
 
2.5%
정 22
 
2.5%
송 18
 
2.1%
용 18
 
2.1%
평 18
 
2.1%
호 16
 
1.8%
Other values (160) 620
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 863
99.0%
Decimal Number 7
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
5.3%
신 42
 
4.9%
산 28
 
3.2%
리 22
 
2.5%
남 22
 
2.5%
정 22
 
2.5%
송 18
 
2.1%
용 18
 
2.1%
평 18
 
2.1%
호 16
 
1.9%
Other values (156) 611
70.8%
Decimal Number
ValueCountFrequency (%)
1 5
71.4%
2 2
 
28.6%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 863
99.0%
Common 9
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
5.3%
신 42
 
4.9%
산 28
 
3.2%
리 22
 
2.5%
남 22
 
2.5%
정 22
 
2.5%
송 18
 
2.1%
용 18
 
2.1%
평 18
 
2.1%
호 16
 
1.9%
Other values (156) 611
70.8%
Common
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
( 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 863
99.0%
ASCII 9
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 46
 
5.3%
신 42
 
4.9%
산 28
 
3.2%
리 22
 
2.5%
남 22
 
2.5%
정 22
 
2.5%
송 18
 
2.1%
용 18
 
2.1%
평 18
 
2.1%
호 16
 
1.9%
Other values (156) 611
70.8%
ASCII
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
( 1
 
11.1%
) 1
 
11.1%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.3645
Minimum2007
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-12T23:38:17.267514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2011.35
Q12015
median2016
Q32018
95-th percentile2021
Maximum2021
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9662979
Coefficient of variation (CV)0.0014711119
Kurtosis1.0370865
Mean2016.3645
Median Absolute Deviation (MAD)2
Skewness-0.64591916
Sum863004
Variance8.7989232
MonotonicityNot monotonic
2023-12-12T23:38:17.397569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2016 68
15.9%
2015 64
15.0%
2017 62
14.5%
2021 47
11.0%
2014 43
10.0%
2018 43
10.0%
2019 29
6.8%
2013 26
 
6.1%
2020 22
 
5.1%
2008 8
 
1.9%
Other values (5) 16
 
3.7%
ValueCountFrequency (%)
2007 6
 
1.4%
2008 8
 
1.9%
2009 2
 
0.5%
2010 4
 
0.9%
2011 2
 
0.5%
2012 2
 
0.5%
2013 26
 
6.1%
2014 43
10.0%
2015 64
15.0%
2016 68
15.9%
ValueCountFrequency (%)
2021 47
11.0%
2020 22
 
5.1%
2019 29
6.8%
2018 43
10.0%
2017 62
14.5%
2016 68
15.9%
2015 64
15.0%
2014 43
10.0%
2013 26
 
6.1%
2012 2
 
0.5%

주소(세부위치)
Text

Distinct422
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T23:38:17.640991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length11.876168
Min length4

Characters and Unicode

Total characters5083
Distinct characters203
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

Unique417 ?
Unique (%)97.4%

Sample

1st row산1번지(흑석산자연휴양림)
2nd row신평리694-13(소공원)
3rd row여수리424(마을회관)
4th row덕정리80-9(마을공터)
5th row가학리95(마을회관)
ValueCountFrequency (%)
금호길80-4 3
 
0.7%
영춘리595 2
 
0.5%
북평면남창리1276-3 2
 
0.5%
북평면남창리318 2
 
0.5%
한자리226-15(마을회관앞 2
 
0.5%
내사길502(보건진료소앞 1
 
0.2%
해남읍구교리346-3(서림공원 1
 
0.2%
내사리804-4(마을회관앞 1
 
0.2%
연동리52-1(마을회관입구 1
 
0.2%
읍옥동길73(마을회관 1
 
0.2%
Other values (412) 412
96.3%
2023-12-12T23:38:18.114606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 341
 
6.7%
1 301
 
5.9%
- 268
 
5.3%
( 248
 
4.9%
) 247
 
4.9%
마 202
 
4.0%
2 179
 
3.5%
3 172
 
3.4%
관 166
 
3.3%
을 166
 
3.3%
Other values (193) 2793
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2807
55.2%
Decimal Number 1511
29.7%
Dash Punctuation 268
 
5.3%
Open Punctuation 248
 
4.9%
Close Punctuation 247
 
4.9%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 341
 
12.1%
마 202
 
7.2%
관 166
 
5.9%
을 166
 
5.9%
회 162
 
5.8%
산 131
 
4.7%
길 93
 
3.3%
면 87
 
3.1%
앞 87
 
3.1%
평 57
 
2.0%
Other values (178) 1315
46.8%
Decimal Number
ValueCountFrequency (%)
1 301
19.9%
2 179
11.8%
3 172
11.4%
5 154
10.2%
4 145
9.6%
7 122
8.1%
6 120
 
7.9%
8 117
 
7.7%
9 116
 
7.7%
0 85
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2807
55.2%
Common 2276
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 341
 
12.1%
마 202
 
7.2%
관 166
 
5.9%
을 166
 
5.9%
회 162
 
5.8%
산 131
 
4.7%
길 93
 
3.3%
면 87
 
3.1%
앞 87
 
3.1%
평 57
 
2.0%
Other values (178) 1315
46.8%
Common
ValueCountFrequency (%)
1 301
13.2%
- 268
11.8%
( 248
10.9%
) 247
10.9%
2 179
7.9%
3 172
7.6%
5 154
6.8%
4 145
6.4%
7 122
 
5.4%
6 120
 
5.3%
Other values (5) 320
14.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2807
55.2%
ASCII 2276
44.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 341
 
12.1%
마 202
 
7.2%
관 166
 
5.9%
을 166
 
5.9%
회 162
 
5.8%
산 131
 
4.7%
길 93
 
3.3%
면 87
 
3.1%
앞 87
 
3.1%
평 57
 
2.0%
Other values (178) 1315
46.8%
ASCII
ValueCountFrequency (%)
1 301
13.2%
- 268
11.8%
( 248
10.9%
) 247
10.9%
2 179
7.9%
3 172
7.6%
5 154
6.8%
4 145
6.4%
7 122
 
5.4%
6 120
 
5.3%
Other values (5) 320
14.1%

수량
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0257009
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-12T23:38:18.276674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile6
Maximum23
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8596651
Coefficient of variation (CV)0.46194815
Kurtosis44.144654
Mean4.0257009
Median Absolute Deviation (MAD)1
Skewness5.2371797
Sum1723
Variance3.4583543
MonotonicityNot monotonic
2023-12-12T23:38:18.416557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 205
47.9%
3 111
25.9%
5 34
 
7.9%
2 31
 
7.2%
6 22
 
5.1%
8 8
 
1.9%
7 8
 
1.9%
1 4
 
0.9%
12 1
 
0.2%
11 1
 
0.2%
Other values (3) 3
 
0.7%
ValueCountFrequency (%)
1 4
 
0.9%
2 31
 
7.2%
3 111
25.9%
4 205
47.9%
5 34
 
7.9%
6 22
 
5.1%
7 8
 
1.9%
8 8
 
1.9%
11 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
23 1
 
0.2%
21 1
 
0.2%
15 1
 
0.2%
12 1
 
0.2%
11 1
 
0.2%
8 8
 
1.9%
7 8
 
1.9%
6 22
 
5.1%
5 34
 
7.9%
4 205
47.9%

주이용자
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
마을주민
411 
등산객
 
7
등산객,관광객
 
2
휴양림이용객
 
1
마을주민및면민
 
1
Other values (6)
 
6

Length

Max length8
Median length4
Mean length4.0443925
Min length2

Unique

Unique8 ?
Unique (%)1.9%

Sample

1st row휴양림이용객
2nd row마을주민및면민
3rd row마을주민
4th row마을주민
5th row마을주민

Common Values

ValueCountFrequency (%)
마을주민 411
96.0%
등산객 7
 
1.6%
등산객,관광객 2
 
0.5%
휴양림이용객 1
 
0.2%
마을주민및면민 1
 
0.2%
마을주민,등산객 1
 
0.2%
마을주민,관광객 1
 
0.2%
체육시설이용자 1
 
0.2%
학생,지역주민 1
 
0.2%
학생,마을주민 1
 
0.2%

Length

2023-12-12T23:38:18.584997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마을주민 411
96.0%
등산객 7
 
1.6%
등산객,관광객 2
 
0.5%
휴양림이용객 1
 
0.2%
마을주민및면민 1
 
0.2%
마을주민,등산객 1
 
0.2%
마을주민,관광객 1
 
0.2%
체육시설이용자 1
 
0.2%
학생,지역주민 1
 
0.2%
학생,마을주민 1
 
0.2%

관리부서
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
송지면장
41 
해남읍장
37 
문내면장
35 
삼산면장
35 
화산면장
34 
Other values (11)
246 

Length

Max length10
Median length4
Mean length3.9042056
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row산림녹지과산림휴양팀
2nd row계곡면장
3rd row계곡면장
4th row계곡면장
5th row계곡면장

Common Values

ValueCountFrequency (%)
송지면장 41
9.6%
해남읍장 37
 
8.6%
문내면장 35
 
8.2%
삼산면장 35
 
8.2%
화산면장 34
 
7.9%
현산면 32
 
7.5%
황산면장 32
 
7.5%
산이면장 30
 
7.0%
화원면장 28
 
6.5%
마산면장 25
 
5.8%
Other values (6) 99
23.1%

Length

2023-12-12T23:38:18.756556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송지면장 41
9.6%
해남읍장 37
 
8.6%
문내면장 35
 
8.2%
삼산면장 35
 
8.2%
화산면장 34
 
7.9%
현산면 32
 
7.5%
황산면장 32
 
7.5%
산이면장 30
 
7.0%
화원면장 28
 
6.5%
마산면장 25
 
5.8%
Other values (6) 99
23.1%

관리자
Text

MISSING 

Distinct342
Distinct (%)81.0%
Missing6
Missing (%)1.4%
Memory size3.5 KiB
2023-12-12T23:38:19.104691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8767773
Min length2

Characters and Unicode

Total characters1636
Distinct characters168
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

Unique287 ?
Unique (%)68.0%

Sample

1st row신평이장
2nd row여수이장
3rd row둔주이장
4th row가학이장
5th row방춘이장
ValueCountFrequency (%)
해리이장 6
 
1.4%
용정이장 4
 
0.9%
남외이장 4
 
0.9%
남창마을 4
 
0.9%
화내이장 4
 
0.9%
신기이장 4
 
0.9%
어란이장 4
 
0.9%
우항이장 3
 
0.7%
이목이장 3
 
0.7%
동현이장 3
 
0.7%
Other values (332) 383
90.8%
2023-12-12T23:38:19.618262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 375
22.9%
이 369
22.6%
동 45
 
2.8%
신 41
 
2.5%
마 37
 
2.3%
산 29
 
1.8%
을 25
 
1.5%
정 22
 
1.3%
남 22
 
1.3%
송 19
 
1.2%
Other values (158) 652
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1629
99.6%
Decimal Number 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 375
23.0%
이 369
22.7%
동 45
 
2.8%
신 41
 
2.5%
마 37
 
2.3%
산 29
 
1.8%
을 25
 
1.5%
정 22
 
1.4%
남 22
 
1.4%
송 19
 
1.2%
Other values (156) 645
39.6%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
2 3
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1629
99.6%
Common 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 375
23.0%
이 369
22.7%
동 45
 
2.8%
신 41
 
2.5%
마 37
 
2.3%
산 29
 
1.8%
을 25
 
1.5%
정 22
 
1.4%
남 22
 
1.4%
송 19
 
1.2%
Other values (156) 645
39.6%
Common
ValueCountFrequency (%)
1 4
57.1%
2 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1629
99.6%
ASCII 7
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 375
23.0%
이 369
22.7%
동 45
 
2.8%
신 41
 
2.5%
마 37
 
2.3%
산 29
 
1.8%
을 25
 
1.5%
정 22
 
1.4%
남 22
 
1.4%
송 19
 
1.2%
Other values (156) 645
39.6%
ASCII
ValueCountFrequency (%)
1 4
57.1%
2 3
42.9%

Interactions

2023-12-12T23:38:14.823534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.138499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.473597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.902293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.257682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.583863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:15.004783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.370328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:14.708676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:38:19.739461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면설치년도수량주이용자관리부서
연번1.0000.9720.2200.2570.1870.974
읍면0.9721.0000.0000.3040.2391.000
설치년도0.2200.0001.0000.5330.5460.225
수량0.2570.3040.5331.0000.6390.721
주이용자0.1870.2390.5460.6391.0000.755
관리부서0.9741.0000.2250.7210.7551.000
2023-12-12T23:38:19.855381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면주이용자관리부서
읍면1.0000.0950.998
주이용자0.0951.0000.404
관리부서0.9980.4041.000
2023-12-12T23:38:19.953039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치년도수량읍면주이용자관리부서
연번1.0000.060-0.0870.8730.0800.871
설치년도0.0601.000-0.5270.0000.3110.195
수량-0.087-0.5271.0000.1420.4010.361
읍면0.8730.0000.1421.0000.0950.998
주이용자0.0800.3110.4010.0951.0000.404
관리부서0.8710.1950.3610.9980.4041.000

Missing values

2023-12-12T23:38:15.117989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:38:15.627465image/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

연번읍면리설치년도주소(세부위치)수량주이용자관리부서관리자
01계곡가학2008산1번지(흑석산자연휴양림)8휴양림이용객산림녹지과산림휴양팀<NA>
12계곡신평2013신평리694-13(소공원)6마을주민및면민계곡면장신평이장
23계곡여수2013여수리424(마을회관)4마을주민계곡면장여수이장
34계곡둔주2014덕정리80-9(마을공터)4마을주민계곡면장둔주이장
45계곡가학2015가학리95(마을회관)4마을주민계곡면장가학이장
56계곡방춘2015방춘리557(마고마을회관정자앞)4마을주민계곡면장방춘이장
67계곡신기2015당산리621-6(회관앞정원)4마을주민계곡면장신기이장
78계곡장소2015장소리52-1(마을회관앞)4마을주민계곡면장장소이장
89계곡당산2016당산리355-7(마을회관뒤)4마을주민계곡면장당산이장
910계곡신성2016성진리59(계곡면분회앞)4마을주민계곡면장신성이장
연번읍면리설치년도주소(세부위치)수량주이용자관리부서관리자
418419황산외입2017외입리908-1(마을회관앞)4마을주민황산면장외입이장
419420황산교동2018원호리324-8(교동마을회관앞)3마을주민황산면장교동이장
420421황산기성2018우항리573-1(마을창고)4마을주민황산면장기성이장
421422황산내산2018관춘리10634마을주민황산면장내산이장
422423황산신성2018관춘리189(팔각정앞)6마을주민황산면장신성이장
423424황산만년2019송호리385-6(마을회관앞)3마을주민황산면장만년이장
424425황산덕암2021연당리35-1(회관앞)4마을주민황산면장덕암이장
425426황산병온2021송호리(688-3(회관창고)3마을주민황산면장송호이장
426427황산신곡2021부곡리100-4(회관앞)3마을주민황산면장신곡이장
427428황산춘정2021부곡리492-5(경로당)3마을주민황산면장춘정이장