Overview

Dataset statistics

Number of variables7
Number of observations591
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.6 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Text2
Categorical3

Dataset

Description전라남도 광양시의 농지전용 허가 현황에 대한 데이터(소재지, 지목, 전용면적, 목적, 협의구분 등)를 전 국민들에게 무료로 포털에서 제공합니다.*데이터기준일 시점으로 농지전용허가 중인 현황임
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15055338/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 협의구분High correlation
협의구분 is highly overall correlated with 연번High correlation
공부지목 is highly imbalanced (54.9%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:51:03.121427
Analysis finished2024-03-15 01:51:05.828115
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct591
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296
Minimum1
Maximum591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T10:51:06.077384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.5
Q1148.5
median296
Q3443.5
95-th percentile561.5
Maximum591
Range590
Interquartile range (IQR)295

Descriptive statistics

Standard deviation170.75128
Coefficient of variation (CV)0.57686244
Kurtosis-1.2
Mean296
Median Absolute Deviation (MAD)148
Skewness0
Sum174936
Variance29156
MonotonicityStrictly increasing
2024-03-15T10:51:06.560933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
390 1
 
0.2%
392 1
 
0.2%
393 1
 
0.2%
394 1
 
0.2%
395 1
 
0.2%
396 1
 
0.2%
397 1
 
0.2%
398 1
 
0.2%
399 1
 
0.2%
Other values (581) 581
98.3%
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 (%)
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%
587 1
0.2%
586 1
0.2%
585 1
0.2%
584 1
0.2%
583 1
0.2%
582 1
0.2%

소재지
Text

Distinct51
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-15T10:51:07.506774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length15.935702
Min length12

Characters and Unicode

Total characters9418
Distinct characters78
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

Unique13 ?
Unique (%)2.2%

Sample

1st row전라남도 광양시 다압면 금천리
2nd row전라남도 광양시 다압면 금천리
3rd row전라남도 광양시 다압면 금천리
4th row전라남도 광양시 다압면 금천리
5th row전라남도 광양시 황길동
ValueCountFrequency (%)
전라남도 591
26.6%
광양시 591
26.6%
광양읍 160
 
7.2%
성황동 94
 
4.2%
우산리 76
 
3.4%
다압면 73
 
3.3%
옥룡면 60
 
2.7%
옥곡면 53
 
2.4%
고사리 44
 
2.0%
진월면 43
 
1.9%
Other values (50) 433
19.5%
2024-03-15T10:51:09.087976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2218
23.6%
광 754
 
8.0%
양 751
 
8.0%
도 604
 
6.4%
남 595
 
6.3%
전 591
 
6.3%
시 591
 
6.3%
라 591
 
6.3%
리 445
 
4.7%
면 285
 
3.0%
Other values (68) 1993
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7200
76.4%
Space Separator 2218
 
23.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 754
10.5%
양 751
10.4%
도 604
 
8.4%
남 595
 
8.3%
전 591
 
8.2%
시 591
 
8.2%
라 591
 
8.2%
리 445
 
6.2%
면 285
 
4.0%
동 162
 
2.2%
Other values (67) 1831
25.4%
Space Separator
ValueCountFrequency (%)
2218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7200
76.4%
Common 2218
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 754
10.5%
양 751
10.4%
도 604
 
8.4%
남 595
 
8.3%
전 591
 
8.2%
시 591
 
8.2%
라 591
 
8.2%
리 445
 
6.2%
면 285
 
4.0%
동 162
 
2.2%
Other values (67) 1831
25.4%
Common
ValueCountFrequency (%)
2218
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7200
76.4%
ASCII 2218
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2218
100.0%
Hangul
ValueCountFrequency (%)
광 754
10.5%
양 751
10.4%
도 604
 
8.4%
남 595
 
8.3%
전 591
 
8.2%
시 591
 
8.2%
라 591
 
8.2%
리 445
 
6.2%
면 285
 
4.0%
동 162
 
2.2%
Other values (67) 1831
25.4%

공부지목
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
답
438 
전
128 
잡종지
 
13
도로
 
10
과수원
 
2

Length

Max length3
Median length1
Mean length1.0676819
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
답 438
74.1%
전 128
 
21.7%
잡종지 13
 
2.2%
도로 10
 
1.7%
과수원 2
 
0.3%

Length

2024-03-15T10:51:09.452819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:51:09.659291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 438
74.1%
전 128
 
21.7%
잡종지 13
 
2.2%
도로 10
 
1.7%
과수원 2
 
0.3%

전용면적(제곱미터)
Real number (ℝ)

Distinct405
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.57631
Minimum0.4
Maximum4175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T10:51:09.959480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile4.2
Q160
median207
Q3653.5
95-th percentile1418
Maximum4175
Range4174.6
Interquartile range (IQR)593.5

Descriptive statistics

Standard deviation564.40094
Coefficient of variation (CV)1.2987384
Kurtosis9.8955737
Mean434.57631
Median Absolute Deviation (MAD)182
Skewness2.6686242
Sum256834.6
Variance318548.42
MonotonicityNot monotonic
2024-03-15T10:51:10.310675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 8
 
1.4%
14.0 8
 
1.4%
26.0 7
 
1.2%
132.0 6
 
1.0%
7.0 5
 
0.8%
6.0 5
 
0.8%
52.0 4
 
0.7%
60.0 4
 
0.7%
28.0 4
 
0.7%
25.0 4
 
0.7%
Other values (395) 536
90.7%
ValueCountFrequency (%)
0.4 2
 
0.3%
0.7 1
 
0.2%
1.0 3
 
0.5%
1.3 1
 
0.2%
1.6 2
 
0.3%
1.7 1
 
0.2%
2.0 3
 
0.5%
2.3 1
 
0.2%
2.4 1
 
0.2%
3.0 8
1.4%
ValueCountFrequency (%)
4175.0 1
0.2%
3908.0 1
0.2%
3416.0 1
0.2%
2988.0 2
0.3%
2909.0 1
0.2%
2763.0 1
0.2%
2662.0 1
0.2%
2651.0 1
0.2%
2551.0 1
0.2%
2476.0 1
0.2%

전용목적
Text

Distinct91
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-15T10:51:11.271014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length26.049069
Min length4

Characters and Unicode

Total characters15395
Distinct characters168
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)7.3%

Sample

1st row민간기타 (발전시설(태양광)부지조성)
2nd row민간기타 (발전시설(태양광)부지조성)
3rd row민간기타 (발전시설(태양광)부지조성)
4th row민간기타 (발전시설(태양광)부지조성)
5th row민간기타 (제1종근린생활시설(소매점,창고,사무실)부지조성)
ValueCountFrequency (%)
민간기타 204
 
9.2%
공공기타 179
 
8.0%
부지조성 163
 
7.3%
도로철도항만공항 101
 
4.5%
2 95
 
4.3%
광양항 95
 
4.3%
외 95
 
4.3%
배후도로 95
 
4.3%
확포장공사(광로2-7호선 95
 
4.3%
주거시설 86
 
3.9%
Other values (126) 1019
45.8%
2024-03-15T10:51:12.740858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1636
 
10.6%
( 1015
 
6.6%
) 1015
 
6.6%
공 689
 
4.5%
도 521
 
3.4%
로 519
 
3.4%
시 435
 
2.8%
설 427
 
2.8%
기 387
 
2.5%
타 383
 
2.5%
Other values (158) 8368
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10913
70.9%
Space Separator 1636
 
10.6%
Open Punctuation 1015
 
6.6%
Close Punctuation 1015
 
6.6%
Decimal Number 585
 
3.8%
Dash Punctuation 204
 
1.3%
Other Punctuation 24
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 689
 
6.3%
도 521
 
4.8%
로 519
 
4.8%
시 435
 
4.0%
설 427
 
3.9%
기 387
 
3.5%
타 383
 
3.5%
광 347
 
3.2%
지 336
 
3.1%
조 310
 
2.8%
Other values (143) 6559
60.1%
Decimal Number
ValueCountFrequency (%)
2 251
42.9%
1 123
21.0%
7 95
 
16.2%
6 87
 
14.9%
3 9
 
1.5%
5 7
 
1.2%
8 7
 
1.2%
9 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
. 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1636
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1015
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1015
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10913
70.9%
Common 4482
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 689
 
6.3%
도 521
 
4.8%
로 519
 
4.8%
시 435
 
4.0%
설 427
 
3.9%
기 387
 
3.5%
타 383
 
3.5%
광 347
 
3.2%
지 336
 
3.1%
조 310
 
2.8%
Other values (143) 6559
60.1%
Common
ValueCountFrequency (%)
1636
36.5%
( 1015
22.6%
) 1015
22.6%
2 251
 
5.6%
- 204
 
4.6%
1 123
 
2.7%
7 95
 
2.1%
6 87
 
1.9%
, 23
 
0.5%
3 9
 
0.2%
Other values (5) 24
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10913
70.9%
ASCII 4482
29.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1636
36.5%
( 1015
22.6%
) 1015
22.6%
2 251
 
5.6%
- 204
 
4.6%
1 123
 
2.7%
7 95
 
2.1%
6 87
 
1.9%
, 23
 
0.5%
3 9
 
0.2%
Other values (5) 24
 
0.5%
Hangul
ValueCountFrequency (%)
공 689
 
6.3%
도 521
 
4.8%
로 519
 
4.8%
시 435
 
4.0%
설 427
 
3.9%
기 387
 
3.5%
타 383
 
3.5%
광 347
 
3.2%
지 336
 
3.1%
조 310
 
2.8%
Other values (143) 6559
60.1%

협의구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
협의신규
377 
협의변경
214 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
협의신규 377
63.8%
협의변경 214
36.2%

Length

2024-03-15T10:51:13.066753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:51:13.239849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
협의신규 377
63.8%
협의변경 214
36.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-01-08
591 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-08
2nd row2024-01-08
3rd row2024-01-08
4th row2024-01-08
5th row2024-01-08

Common Values

ValueCountFrequency (%)
2024-01-08 591
100.0%

Length

2024-03-15T10:51:13.421622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:51:13.588748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-08 591
100.0%

Interactions

2024-03-15T10:51:04.504022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:51:03.988923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:51:04.838849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:51:04.250003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:51:13.697089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지공부지목전용면적(제곱미터)전용목적협의구분
연번1.0000.8920.6120.2550.9570.794
소재지0.8921.0000.8100.4770.9940.864
공부지목0.6120.8101.0000.3700.8220.263
전용면적(제곱미터)0.2550.4770.3701.0000.6670.024
전용목적0.9570.9940.8220.6671.0000.913
협의구분0.7940.8640.2630.0240.9131.000
2024-03-15T10:51:13.911054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
협의구분공부지목
협의구분1.0000.321
공부지목0.3211.000
2024-03-15T10:51:14.131600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전용면적(제곱미터)공부지목협의구분
연번1.0000.0190.2970.625
전용면적(제곱미터)0.0191.0000.1610.018
공부지목0.2970.1611.0000.321
협의구분0.6250.0180.3211.000

Missing values

2024-03-15T10:51:05.178203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:51:05.580647image/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

연번소재지공부지목전용면적(제곱미터)전용목적협의구분데이터기준일
01전라남도 광양시 다압면 금천리전1161.0민간기타 (발전시설(태양광)부지조성)협의신규2024-01-08
12전라남도 광양시 다압면 금천리전827.0민간기타 (발전시설(태양광)부지조성)협의신규2024-01-08
23전라남도 광양시 다압면 금천리전674.0민간기타 (발전시설(태양광)부지조성)협의신규2024-01-08
34전라남도 광양시 다압면 금천리전741.0민간기타 (발전시설(태양광)부지조성)협의신규2024-01-08
45전라남도 광양시 황길동전60.0민간기타 (제1종근린생활시설(소매점,창고,사무실)부지조성)협의신규2024-01-08
56전라남도 광양시 황길동답1023.0민간기타 (제1종근린생활시설(소매점,창고,사무실)부지조성)협의신규2024-01-08
67전라남도 광양시 광양읍 우산리답7.0공공기타 (광양의봄선샤인공동주택 진입도로 실시계획인가(대로1-6))협의변경2024-01-08
78전라남도 광양시 광양읍 우산리답1407.0공공기타 (광양의봄선샤인공동주택 진입도로 실시계획인가(대로1-6))협의변경2024-01-08
89전라남도 광양시 광양읍 우산리답171.0공공기타 (광양의봄선샤인공동주택 진입도로 실시계획인가(대로1-6))협의변경2024-01-08
910전라남도 광양시 광양읍 용강리답37.0공공기타 (광양의봄선샤인공동주택 진입도로 실시계획인가(대로1-6))협의변경2024-01-08
연번소재지공부지목전용면적(제곱미터)전용목적협의구분데이터기준일
581582전라남도 광양시 다압면 고사리답420.0민간기타 (발전시설(태양광) 부지조성)협의변경2024-01-08
582583전라남도 광양시 진상면 청암리답332.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
583584전라남도 광양시 진상면 청암리답284.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
584585전라남도 광양시 진상면 청암리답186.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
585586전라남도 광양시 진상면 청암리답725.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
586587전라남도 광양시 진상면 청암리답372.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
587588전라남도 광양시 진상면 청암리답443.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
588589전라남도 광양시 진상면 청암리답1182.0민간기타 (제2종근린생활시설(사무소) 및 창고시설 부지조성)협의신규2024-01-08
589590전라남도 광양시 중군동답1430.0공장시설 (제2종근린생활시설(제조업소))협의변경2024-01-08
590591전라남도 광양시 진상면 황죽리답853.0주거시설 (단독주택(일반주택))협의변경2024-01-08