Overview

Dataset statistics

Number of variables10
Number of observations1264
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.6 KiB
Average record size in memory83.1 B

Variable types

Numeric3
Text5
DateTime1
Categorical1

Dataset

Description공유수면매립은?
Author해양수산부
URLhttps://www.data.go.kr/data/3056343/fileData.do

Alerts

법정동코드 is highly overall correlated with 매립목적(현행법상)High correlation
매립목적(현행법상) is highly overall correlated with 법정동코드High correlation
기본계획번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:24:33.386374
Analysis finished2023-12-12 15:24:36.001172
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본계획번호
Real number (ℝ)

UNIQUE 

Distinct1264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19687.081
Minimum10001
Maximum90051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-13T00:24:36.112764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10064.15
Q110316.75
median20049.5
Q320365.25
95-th percentile30150.85
Maximum90051
Range80050
Interquartile range (IQR)10048.5

Descriptive statistics

Standard deviation15835.657
Coefficient of variation (CV)0.80436792
Kurtosis12.557745
Mean19687.081
Median Absolute Deviation (MAD)9631
Skewness3.4149399
Sum24884471
Variance2.5076802 × 108
MonotonicityNot monotonic
2023-12-13T00:24:36.315992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10340 1
 
0.1%
20290 1
 
0.1%
20314 1
 
0.1%
20312 1
 
0.1%
20311 1
 
0.1%
20301 1
 
0.1%
10522 1
 
0.1%
20293 1
 
0.1%
20292 1
 
0.1%
20284 1
 
0.1%
Other values (1254) 1254
99.2%
ValueCountFrequency (%)
10001 1
0.1%
10002 1
0.1%
10003 1
0.1%
10004 1
0.1%
10005 1
0.1%
10006 1
0.1%
10007 1
0.1%
10008 1
0.1%
10009 1
0.1%
10010 1
0.1%
ValueCountFrequency (%)
90051 1
0.1%
90050 1
0.1%
90049 1
0.1%
90047 1
0.1%
90046 1
0.1%
90045 1
0.1%
90044 1
0.1%
90043 1
0.1%
90042 1
0.1%
90041 1
0.1%

지구명
Text

Distinct1039
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-13T00:24:36.716505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length3.4912975
Min length2

Characters and Unicode

Total characters4413
Distinct characters331
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique881 ?
Unique (%)69.7%

Sample

1st row구산항
2nd row장목항지구
3rd row덕적 도우선착장
4th row신수
5th row신월Ⅰ
ValueCountFrequency (%)
부산신항 10
 
0.8%
송도 7
 
0.5%
마산항 7
 
0.5%
포항항 6
 
0.5%
부산항 5
 
0.4%
속초항 5
 
0.4%
광양(여천)항 5
 
0.4%
매암동 5
 
0.4%
사등 4
 
0.3%
평택당진항 4
 
0.3%
Other values (1067) 1267
95.6%
2023-12-13T00:24:37.266886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
항 353
 
8.0%
산 170
 
3.9%
포 128
 
2.9%
도 121
 
2.7%
I 99
 
2.2%
지 88
 
2.0%
동 77
 
1.7%
구 75
 
1.7%
대 70
 
1.6%
진 67
 
1.5%
Other values (321) 3165
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3942
89.3%
Uppercase Letter 135
 
3.1%
Letter Number 128
 
2.9%
Space Separator 64
 
1.5%
Decimal Number 62
 
1.4%
Open Punctuation 26
 
0.6%
Close Punctuation 26
 
0.6%
Other Punctuation 18
 
0.4%
Dash Punctuation 10
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
항 353
 
9.0%
산 170
 
4.3%
포 128
 
3.2%
도 121
 
3.1%
지 88
 
2.2%
동 77
 
2.0%
구 75
 
1.9%
대 70
 
1.8%
진 67
 
1.7%
장 65
 
1.6%
Other values (288) 2728
69.2%
Uppercase Letter
ValueCountFrequency (%)
I 99
73.3%
G 8
 
5.9%
N 7
 
5.2%
L 7
 
5.2%
V 4
 
3.0%
A 2
 
1.5%
S 2
 
1.5%
T 2
 
1.5%
B 2
 
1.5%
P 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 36
58.1%
2 17
27.4%
3 4
 
6.5%
7 2
 
3.2%
5 1
 
1.6%
4 1
 
1.6%
8 1
 
1.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 57
44.5%
Ⅱ 56
43.8%
Ⅲ 10
 
7.8%
Ⅴ 3
 
2.3%
Ⅵ 1
 
0.8%
Ⅳ 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 7
38.9%
· 6
33.3%
, 4
22.2%
/ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3942
89.3%
Latin 263
 
6.0%
Common 208
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
항 353
 
9.0%
산 170
 
4.3%
포 128
 
3.2%
도 121
 
3.1%
지 88
 
2.2%
동 77
 
2.0%
구 75
 
1.9%
대 70
 
1.8%
진 67
 
1.7%
장 65
 
1.6%
Other values (288) 2728
69.2%
Latin
ValueCountFrequency (%)
I 99
37.6%
Ⅰ 57
21.7%
Ⅱ 56
21.3%
Ⅲ 10
 
3.8%
G 8
 
3.0%
N 7
 
2.7%
L 7
 
2.7%
V 4
 
1.5%
Ⅴ 3
 
1.1%
A 2
 
0.8%
Other values (7) 10
 
3.8%
Common
ValueCountFrequency (%)
64
30.8%
1 36
17.3%
( 26
12.5%
) 26
12.5%
2 17
 
8.2%
- 10
 
4.8%
. 7
 
3.4%
· 6
 
2.9%
3 4
 
1.9%
, 4
 
1.9%
Other values (6) 8
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3941
89.3%
ASCII 337
 
7.6%
Number Forms 128
 
2.9%
None 6
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
항 353
 
9.0%
산 170
 
4.3%
포 128
 
3.2%
도 121
 
3.1%
지 88
 
2.2%
동 77
 
2.0%
구 75
 
1.9%
대 70
 
1.8%
진 67
 
1.7%
장 65
 
1.6%
Other values (287) 2727
69.2%
ASCII
ValueCountFrequency (%)
I 99
29.4%
64
19.0%
1 36
 
10.7%
( 26
 
7.7%
) 26
 
7.7%
2 17
 
5.0%
- 10
 
3.0%
G 8
 
2.4%
. 7
 
2.1%
N 7
 
2.1%
Other values (16) 37
 
11.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 57
44.5%
Ⅱ 56
43.8%
Ⅲ 10
 
7.8%
Ⅴ 3
 
2.3%
Ⅵ 1
 
0.8%
Ⅳ 1
 
0.8%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

고시년월일
Date

Distinct241
Distinct (%)19.1%
Missing1
Missing (%)0.1%
Memory size10.0 KiB
Minimum1905-06-07 00:00:00
Maximum2021-09-03 00:00:00
2023-12-13T00:24:37.438607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:37.612813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고시번호
Text

Distinct117
Distinct (%)9.3%
Missing1
Missing (%)0.1%
Memory size10.0 KiB
2023-12-13T00:24:37.861671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length12.307997
Min length2

Characters and Unicode

Total characters15545
Distinct characters53
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

Unique61 ?
Unique (%)4.8%

Sample

1st row불명
2nd row경상남도 고시 제2017-344호
3rd row옹진군고시 제2018-168
4th row건설부고시 제52호
5th row건설부고시 제52호
ValueCountFrequency (%)
해양수산부고시 451
20.3%
건설부고시 347
15.6%
불명 298
13.4%
제52호 220
9.9%
제2001-49호 178
 
8.0%
건설교통부고시 76
 
3.4%
국토해양부고시 59
 
2.7%
제1992-451호 57
 
2.6%
제1993-395호 56
 
2.5%
제2011-405호 54
 
2.4%
Other values (122) 430
19.3%
2023-12-13T00:24:38.329803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1030
 
6.6%
시 966
 
6.2%
고 965
 
6.2%
제 965
 
6.2%
호 963
 
6.2%
963
 
6.2%
2 963
 
6.2%
부 948
 
6.1%
1 866
 
5.6%
9 794
 
5.1%
Other values (43) 6122
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8569
55.1%
Decimal Number 5276
33.9%
Space Separator 963
 
6.2%
Dash Punctuation 737
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 966
11.3%
고 965
11.3%
제 965
11.3%
호 963
11.2%
부 948
11.1%
해 526
 
6.1%
양 521
 
6.1%
수 463
 
5.4%
산 463
 
5.4%
설 426
 
5.0%
Other values (31) 1363
15.9%
Decimal Number
ValueCountFrequency (%)
0 1030
19.5%
2 963
18.3%
1 866
16.4%
9 794
15.0%
5 528
10.0%
4 457
8.7%
3 280
 
5.3%
7 159
 
3.0%
8 104
 
2.0%
6 95
 
1.8%
Space Separator
ValueCountFrequency (%)
963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 737
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8569
55.1%
Common 6976
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 966
11.3%
고 965
11.3%
제 965
11.3%
호 963
11.2%
부 948
11.1%
해 526
 
6.1%
양 521
 
6.1%
수 463
 
5.4%
산 463
 
5.4%
설 426
 
5.0%
Other values (31) 1363
15.9%
Common
ValueCountFrequency (%)
0 1030
14.8%
963
13.8%
2 963
13.8%
1 866
12.4%
9 794
11.4%
- 737
10.6%
5 528
7.6%
4 457
6.6%
3 280
 
4.0%
7 159
 
2.3%
Other values (2) 199
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8569
55.1%
ASCII 6976
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1030
14.8%
963
13.8%
2 963
13.8%
1 866
12.4%
9 794
11.4%
- 737
10.6%
5 528
7.6%
4 457
6.6%
3 280
 
4.0%
7 159
 
2.3%
Other values (2) 199
 
2.9%
Hangul
ValueCountFrequency (%)
시 966
11.3%
고 965
11.3%
제 965
11.3%
호 963
11.2%
부 948
11.1%
해 526
 
6.1%
양 521
 
6.1%
수 463
 
5.4%
산 463
 
5.4%
설 426
 
5.0%
Other values (31) 1363
15.9%

신청인
Text

Distinct405
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-13T00:24:38.666337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length5.5719937
Min length2

Characters and Unicode

Total characters7043
Distinct characters247
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)19.1%

Sample

1st row해양수산부
2nd row한국해양과학기술원
3rd row옹진군수
4th row사천시장
5th row여수시장
ValueCountFrequency (%)
해양수산부 103
 
7.8%
여수시장 34
 
2.6%
통영시장 31
 
2.4%
완도군수 22
 
1.7%
거제시장 21
 
1.6%
사천시장 19
 
1.4%
창원시장 18
 
1.4%
남해군수 18
 
1.4%
부산시장 18
 
1.4%
울산지방해양수산청 15
 
1.1%
Other values (399) 1014
77.2%
2023-12-13T00:24:39.305884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 496
 
7.0%
산 390
 
5.5%
장 378
 
5.4%
시 337
 
4.8%
해 304
 
4.3%
양 255
 
3.6%
청 245
 
3.5%
군 241
 
3.4%
부 225
 
3.2%
지 171
 
2.4%
Other values (237) 4001
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6681
94.9%
Other Symbol 141
 
2.0%
Space Separator 111
 
1.6%
Uppercase Letter 31
 
0.4%
Decimal Number 26
 
0.4%
Open Punctuation 17
 
0.2%
Close Punctuation 17
 
0.2%
Other Punctuation 14
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 496
 
7.4%
산 390
 
5.8%
장 378
 
5.7%
시 337
 
5.0%
해 304
 
4.6%
양 255
 
3.8%
청 245
 
3.7%
군 241
 
3.6%
부 225
 
3.4%
지 171
 
2.6%
Other values (211) 3639
54.5%
Decimal Number
ValueCountFrequency (%)
1 9
34.6%
2 8
30.8%
4 3
 
11.5%
5 2
 
7.7%
0 1
 
3.8%
3 1
 
3.8%
7 1
 
3.8%
8 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 11
35.5%
X 5
16.1%
T 5
16.1%
P 4
 
12.9%
G 4
 
12.9%
K 2
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
t 1
20.0%
x 1
20.0%
k 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 15
88.2%
[ 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 15
88.2%
] 2
 
11.8%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
· 1
 
7.1%
Other Symbol
ValueCountFrequency (%)
㈜ 141
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6822
96.9%
Common 185
 
2.6%
Latin 36
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 496
 
7.3%
산 390
 
5.7%
장 378
 
5.5%
시 337
 
4.9%
해 304
 
4.5%
양 255
 
3.7%
청 245
 
3.6%
군 241
 
3.5%
부 225
 
3.3%
지 171
 
2.5%
Other values (212) 3780
55.4%
Common
ValueCountFrequency (%)
111
60.0%
( 15
 
8.1%
) 15
 
8.1%
, 13
 
7.0%
1 9
 
4.9%
2 8
 
4.3%
4 3
 
1.6%
] 2
 
1.1%
[ 2
 
1.1%
5 2
 
1.1%
Other values (5) 5
 
2.7%
Latin
ValueCountFrequency (%)
S 11
30.6%
X 5
13.9%
T 5
13.9%
P 4
 
11.1%
G 4
 
11.1%
s 2
 
5.6%
K 2
 
5.6%
t 1
 
2.8%
x 1
 
2.8%
k 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6681
94.9%
ASCII 220
 
3.1%
None 142
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 496
 
7.4%
산 390
 
5.8%
장 378
 
5.7%
시 337
 
5.0%
해 304
 
4.6%
양 255
 
3.8%
청 245
 
3.7%
군 241
 
3.6%
부 225
 
3.4%
지 171
 
2.6%
Other values (211) 3639
54.5%
None
ValueCountFrequency (%)
㈜ 141
99.3%
· 1
 
0.7%
ASCII
ValueCountFrequency (%)
111
50.5%
( 15
 
6.8%
) 15
 
6.8%
, 13
 
5.9%
S 11
 
5.0%
1 9
 
4.1%
2 8
 
3.6%
X 5
 
2.3%
T 5
 
2.3%
P 4
 
1.8%
Other values (14) 24
 
10.9%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2476304 × 109
Minimum26710
Maximum4.913 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-13T00:24:39.552006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26710
5-th percentile2.638 × 109
Q14.159 × 109
median4.613 × 109
Q34.811 × 109
95-th percentile4.884 × 109
Maximum4.913 × 109
Range4.9129733 × 109
Interquartile range (IQR)6.52 × 108

Descriptive statistics

Standard deviation7.8727999 × 108
Coefficient of variation (CV)0.18534569
Kurtosis1.5930485
Mean4.2476304 × 109
Median Absolute Deviation (MAD)2.09 × 108
Skewness-1.5016535
Sum5.3690048 × 1012
Variance6.1980978 × 1017
MonotonicityNot monotonic
2023-12-13T00:24:39.832652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4811000000 72
 
5.7%
4613000000 72
 
5.7%
4831000000 65
 
5.1%
4822000000 53
 
4.2%
4689000000 41
 
3.2%
4824000000 34
 
2.7%
4427000000 33
 
2.6%
4513000000 30
 
2.4%
2811000000 30
 
2.4%
4482500000 26
 
2.1%
Other values (79) 808
63.9%
ValueCountFrequency (%)
26710 1
 
0.1%
48240 2
 
0.2%
2611000000 6
 
0.5%
2614000000 4
 
0.3%
2617000000 2
 
0.2%
2620000000 12
0.9%
2629000000 18
1.4%
2635000000 5
 
0.4%
2638000000 26
2.1%
2644000000 26
2.1%
ValueCountFrequency (%)
4913000000 6
 
0.5%
4911000000 25
 
2.0%
4885000000 18
 
1.4%
4884000000 21
 
1.7%
4882000000 17
 
1.3%
4833000000 3
 
0.2%
4831000000 65
5.1%
4824000000 34
2.7%
4822000000 53
4.2%
4812900000 6
 
0.5%

위치(전면해상)
Text

Distinct656
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-13T00:24:40.559130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length17.323576
Min length10

Characters and Unicode

Total characters21897
Distinct characters253
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)32.1%

Sample

1st row경상북도 울진군
2nd row경상남도 거제시 장목면 장목1길 41 한국해양과학기술원 남해연구소 전면해상
3rd row인천광역시 옹진군 덕적면 진리 81-18
4th row경상남도 사천시 신수동
5th row전라남도 여수시 신월동
ValueCountFrequency (%)
경상남도 303
 
7.8%
전라남도 288
 
7.4%
충청남도 135
 
3.5%
부산광역시 104
 
2.7%
인천광역시 100
 
2.6%
창원시 91
 
2.3%
강원도 78
 
2.0%
여수시 72
 
1.8%
거제시 65
 
1.7%
경상북도 65
 
1.7%
Other values (732) 2593
66.6%
2023-12-13T00:24:41.288477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8864
40.5%
도 1176
 
5.4%
시 930
 
4.2%
남 913
 
4.2%
동 483
 
2.2%
면 469
 
2.1%
경 450
 
2.1%
군 440
 
2.0%
상 380
 
1.7%
산 368
 
1.7%
Other values (243) 7424
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12959
59.2%
Space Separator 8864
40.5%
Decimal Number 61
 
0.3%
Dash Punctuation 8
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1176
 
9.1%
시 930
 
7.2%
남 913
 
7.0%
동 483
 
3.7%
면 469
 
3.6%
경 450
 
3.5%
군 440
 
3.4%
상 380
 
2.9%
산 368
 
2.8%
리 355
 
2.7%
Other values (231) 6995
54.0%
Decimal Number
ValueCountFrequency (%)
1 20
32.8%
2 10
16.4%
3 9
14.8%
4 5
 
8.2%
8 4
 
6.6%
7 4
 
6.6%
6 4
 
6.6%
5 3
 
4.9%
9 2
 
3.3%
Space Separator
ValueCountFrequency (%)
8864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12959
59.2%
Common 8938
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1176
 
9.1%
시 930
 
7.2%
남 913
 
7.0%
동 483
 
3.7%
면 469
 
3.6%
경 450
 
3.5%
군 440
 
3.4%
상 380
 
2.9%
산 368
 
2.8%
리 355
 
2.7%
Other values (231) 6995
54.0%
Common
ValueCountFrequency (%)
8864
99.2%
1 20
 
0.2%
2 10
 
0.1%
3 9
 
0.1%
- 8
 
0.1%
~ 5
 
0.1%
4 5
 
0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
6 4
 
< 0.1%
Other values (2) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12959
59.2%
ASCII 8938
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8864
99.2%
1 20
 
0.2%
2 10
 
0.1%
3 9
 
0.1%
- 8
 
0.1%
~ 5
 
0.1%
4 5
 
0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
6 4
 
< 0.1%
Other values (2) 5
 
0.1%
Hangul
ValueCountFrequency (%)
도 1176
 
9.1%
시 930
 
7.2%
남 913
 
7.0%
동 483
 
3.7%
면 469
 
3.6%
경 450
 
3.5%
군 440
 
3.4%
상 380
 
2.9%
산 368
 
2.8%
리 355
 
2.7%
Other values (231) 6995
54.0%

매립목적
Text

Distinct146
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-13T00:24:41.593255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length6
Mean length7.5221519
Min length4

Characters and Unicode

Total characters9508
Distinct characters154
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)7.9%

Sample

1st row어항시설용지
2nd row교육시설용지
3rd row도로 확포장을 통한 공영주차장 확충
4th row공공시설용지
5th row공공시설용지
ValueCountFrequency (%)
항만시설용지 260
16.2%
어항시설용지 178
 
11.1%
밖의 132
 
8.2%
그 130
 
8.1%
공공시설용지 116
 
7.2%
도시용지 98
 
6.1%
중간재가공공장용지 81
 
5.0%
조선시설용지 49
 
3.1%
유보지역 40
 
2.5%
에너지시설용지 37
 
2.3%
Other values (154) 484
30.2%
2023-12-13T00:24:42.089850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1354
14.2%
용 1242
13.1%
시 1093
 
11.5%
설 981
 
10.3%
공 542
 
5.7%
항 462
 
4.9%
341
 
3.6%
만 272
 
2.9%
어 192
 
2.0%
도 179
 
1.9%
Other values (144) 2850
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8795
92.5%
Space Separator 341
 
3.6%
Open Punctuation 165
 
1.7%
Close Punctuation 165
 
1.7%
Other Punctuation 39
 
0.4%
Decimal Number 2
 
< 0.1%
Format 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1354
15.4%
용 1242
14.1%
시 1093
12.4%
설 981
11.2%
공 542
 
6.2%
항 462
 
5.3%
만 272
 
3.1%
어 192
 
2.2%
도 179
 
2.0%
의 133
 
1.5%
Other values (135) 2345
26.7%
Other Punctuation
ValueCountFrequency (%)
, 34
87.2%
· 3
 
7.7%
: 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8795
92.5%
Common 713
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1354
15.4%
용 1242
14.1%
시 1093
12.4%
설 981
11.2%
공 542
 
6.2%
항 462
 
5.3%
만 272
 
3.1%
어 192
 
2.2%
도 179
 
2.0%
의 133
 
1.5%
Other values (135) 2345
26.7%
Common
ValueCountFrequency (%)
341
47.8%
( 165
23.1%
) 165
23.1%
, 34
 
4.8%
· 3
 
0.4%
: 2
 
0.3%
­ 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8758
92.1%
ASCII 709
 
7.5%
Compat Jamo 37
 
0.4%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1354
15.5%
용 1242
14.2%
시 1093
12.5%
설 981
11.2%
공 542
 
6.2%
항 462
 
5.3%
만 272
 
3.1%
어 192
 
2.2%
도 179
 
2.0%
의 133
 
1.5%
Other values (134) 2308
26.4%
ASCII
ValueCountFrequency (%)
341
48.1%
( 165
23.3%
) 165
23.3%
, 34
 
4.8%
: 2
 
0.3%
3 1
 
0.1%
1 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 37
100.0%
None
ValueCountFrequency (%)
· 3
75.0%
­ 1
 
25.0%

매립목적(현행법상)
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
17.기타시설용지
337 
1.항만시설용지
265 
4.어항시설용지
182 
15.공공시설용지
138 
8.중간재가공공장용지
87 
Other values (15)
255 

Length

Max length12
Median length11
Mean length8.7950949
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row4.어항시설용지
2nd row13.교육시설용지
3rd row17.기타시설용지
4th row15.공공시설용지
5th row15.공공시설용지

Common Values

ValueCountFrequency (%)
17.기타시설용지 337
26.7%
1.항만시설용지 265
21.0%
4.어항시설용지 182
14.4%
15.공공시설용지 138
10.9%
8.중간재가공공장용지 87
 
6.9%
7.농축산업용지 51
 
4.0%
3.조선시설용지 49
 
3.9%
5.에너지시설용지 41
 
3.2%
12.관광사업시설용지 35
 
2.8%
10.주택시설용지 29
 
2.3%
Other values (10) 50
 
4.0%

Length

2023-12-13T00:24:42.616413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17.기타시설용지 337
26.7%
1.항만시설용지 265
21.0%
4.어항시설용지 182
14.4%
15.공공시설용지 138
10.9%
8.중간재가공공장용지 87
 
6.9%
7.농축산업용지 51
 
4.0%
3.조선시설용지 49
 
3.9%
5.에너지시설용지 41
 
3.2%
12.관광사업시설용지 35
 
2.8%
10.주택시설용지 29
 
2.3%
Other values (10) 50
 
4.0%

규모(면적-제곱미터)
Real number (ℝ)

Distinct877
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2103573.8
Minimum446
Maximum4.01 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-13T00:24:42.826377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446
5-th percentile2328.6
Q110000
median52000
Q3282385.75
95-th percentile4819300
Maximum4.01 × 108
Range4.0099955 × 108
Interquartile range (IQR)272385.75

Descriptive statistics

Standard deviation16143647
Coefficient of variation (CV)7.6743907
Kurtosis349.73871
Mean2103573.8
Median Absolute Deviation (MAD)48000
Skewness16.743336
Sum2.6589173 × 109
Variance2.6061735 × 1014
MonotonicityNot monotonic
2023-12-13T00:24:43.034257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000.0 16
 
1.3%
5000.0 14
 
1.1%
7000.0 13
 
1.0%
6000.0 12
 
0.9%
3000.0 12
 
0.9%
4000.0 11
 
0.9%
1000.0 11
 
0.9%
10000.0 10
 
0.8%
46000.0 10
 
0.8%
9000.0 10
 
0.8%
Other values (867) 1145
90.6%
ValueCountFrequency (%)
446.0 1
 
0.1%
640.0 1
 
0.1%
645.0 1
 
0.1%
900.0 1
 
0.1%
955.0 1
 
0.1%
1000.0 11
0.9%
1090.0 1
 
0.1%
1173.0 1
 
0.1%
1200.0 2
 
0.2%
1260.0 2
 
0.2%
ValueCountFrequency (%)
401000000.0 1
0.1%
245740000.0 1
0.1%
154090000.0 1
0.1%
121790000.0 2
0.2%
98680000.0 2
0.2%
89268000.0 1
0.1%
88000000.0 1
0.1%
73577000.0 1
0.1%
49900000.0 1
0.1%
45480000.0 1
0.1%

Interactions

2023-12-13T00:24:35.093471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.166971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.640719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:35.230885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.295957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.810392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:35.365527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.440611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:34.947925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:24:43.153802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기본계획번호법정동코드매립목적(현행법상)규모(면적-제곱미터)
기본계획번호1.0000.1390.5310.134
법정동코드0.1391.0000.7720.041
매립목적(현행법상)0.5310.7721.0000.323
규모(면적-제곱미터)0.1340.0410.3231.000
2023-12-13T00:24:43.280445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기본계획번호법정동코드규모(면적-제곱미터)매립목적(현행법상)
기본계획번호1.000-0.011-0.3510.317
법정동코드-0.0111.000-0.1480.516
규모(면적-제곱미터)-0.351-0.1481.0000.155
매립목적(현행법상)0.3170.5160.1551.000

Missing values

2023-12-13T00:24:35.545514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:24:35.739201image/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.
2023-12-13T00:24:35.905200image/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

기본계획번호지구명고시년월일고시번호신청인법정동코드위치(전면해상)매립목적매립목적(현행법상)규모(면적-제곱미터)
010340구산항1905-06-15불명해양수산부4793000000경상북도 울진군어항시설용지4.어항시설용지29913.0
190046장목항지구2017-08-17경상남도 고시 제2017-344호한국해양과학기술원4831000000경상남도 거제시 장목면 장목1길 41 한국해양과학기술원 남해연구소 전면해상교육시설용지13.교육시설용지13500.0
290047덕적 도우선착장2018-12-11옹진군고시 제2018-168옹진군수2872000000인천광역시 옹진군 덕적면 진리 81-18도로 확포장을 통한 공영주차장 확충17.기타시설용지1494.0
310124신수1991-02-04건설부고시 제52호사천시장4824000000경상남도 사천시 신수동공공시설용지15.공공시설용지5000.0
410125신월Ⅰ1991-02-04건설부고시 제52호여수시장4613000000전라남도 여수시 신월동공공시설용지15.공공시설용지110000.0
510148용당Ⅰ1991-02-04건설부고시 제52호목포시장4611000000전라남도 목포시 용당동공공시설용지15.공공시설용지46000.0
610151용호1991-02-04건설부고시 제52호부산시장2629000000부산광역시 남구 용호동공공시설용지15.공공시설용지7000.0
710153우두Ⅱ1991-02-04건설부고시 제52호여수시장4613000000전라남도 여수시 돌산읍공공시설용지15.공공시설용지37000.0
810154운서1991-02-04건설부고시 제52호최철중외 22811000000인천광역시 중구 운서동공공시설용지15.공공시설용지536000.0
910167인평1991-02-04건설부고시 제52호통영시장4811000000경상남도 창원시 인평동공공시설용지15.공공시설용지42000.0
기본계획번호지구명고시년월일고시번호신청인법정동코드위치(전면해상)매립목적매립목적(현행법상)규모(면적-제곱미터)
125430158용유잠진지구2018-04-13해양수산부고시제2018-35호인천광역시 경제자유구역청장2811000000인천광역시 중구제방도로<NA>3358.0
125530159삽교방조제 지구2019-02-28해양수산부고시제2019-33호한국농어촌공사 충남지역본부장4427000000충청남도 당진시 신평면 운정리 일원공공시설용지 (도류제)15.공공시설용지11840.0
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125830162웅천 ~소호 간2019-12-24해양수산부고시제2019-191호여수시장4613000000전라남도 여수시 소호동 63번지~1218번지 전면해상일원그 밖의 시설용지 (도로 및 물양장)17.기타시설용지3320.0
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