Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Text2
Categorical1
DateTime1

Dataset

Description전라남도 나주시 관내 작물 재배정보(팜맵코드, 지번주소, 코드, 재배작물 및 면적 등) 제공", "* 2021년도 공공데이터뉴딜 기업매칭지원사업 결과등록
Author전라남도 나주시
URLhttps://www.data.go.kr/data/15097781/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
팜맵관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:31:12.750456
Analysis finished2023-12-12 19:31:14.196655
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

팜맵관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7060531.1
Minimum6594169
Maximum13243235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:31:14.282236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6594169
5-th percentile6601106.9
Q16625422.8
median6659311.5
Q36691533.5
95-th percentile13238021
Maximum13243235
Range6649066
Interquartile range (IQR)66110.75

Descriptive statistics

Standard deviation1581523.5
Coefficient of variation (CV)0.22399497
Kurtosis11.274637
Mean7060531.1
Median Absolute Deviation (MAD)32891.5
Skewness3.6416885
Sum7.0605311 × 1010
Variance2.5012165 × 1012
MonotonicityNot monotonic
2023-12-13T04:31:14.445014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6606482 1
 
< 0.1%
6711990 1
 
< 0.1%
6698141 1
 
< 0.1%
6695648 1
 
< 0.1%
6597767 1
 
< 0.1%
6629452 1
 
< 0.1%
6610298 1
 
< 0.1%
6705653 1
 
< 0.1%
6601550 1
 
< 0.1%
6629386 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6594169 1
< 0.1%
6594170 1
< 0.1%
6594190 1
< 0.1%
6594196 1
< 0.1%
6594202 1
< 0.1%
6594203 1
< 0.1%
6594206 1
< 0.1%
6594208 1
< 0.1%
6594209 1
< 0.1%
6594223 1
< 0.1%
ValueCountFrequency (%)
13243235 1
< 0.1%
13243203 1
< 0.1%
13243194 1
< 0.1%
13243188 1
< 0.1%
13243181 1
< 0.1%
13243174 1
< 0.1%
13243162 1
< 0.1%
13243154 1
< 0.1%
13243146 1
< 0.1%
13243138 1
< 0.1%

주소
Text

Distinct9790
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:31:14.816596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length23.2233
Min length17

Characters and Unicode

Total characters232233
Distinct characters130
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

Unique9618 ?
Unique (%)96.2%

Sample

1st row전라남도 나주시 반남면 석천리 134-3 전
2nd row전라남도 나주시 동강면 장동리 1406 답
3rd row전라남도 나주시 세지면 대산리 194-1 답
4th row전라남도 나주시 공산면 상방리 342-3 전
5th row전라남도 나주시 동강면 월양리 465 전
ValueCountFrequency (%)
전라남도 10000
 
16.9%
나주시 10000
 
16.9%
답 5918
 
10.0%
전 2352
 
4.0%
봉황면 1168
 
2.0%
노안면 1163
 
2.0%
동강면 932
 
1.6%
다시면 735
 
1.2%
공산면 688
 
1.2%
임 664
 
1.1%
Other values (6976) 25454
43.1%
2023-12-13T04:31:15.304791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49939
21.5%
전 12611
 
5.4%
남 11167
 
4.8%
시 10735
 
4.6%
도 10716
 
4.6%
나 10000
 
4.3%
주 10000
 
4.3%
라 10000
 
4.3%
리 9135
 
3.9%
면 8587
 
3.7%
Other values (120) 89343
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137868
59.4%
Space Separator 49939
 
21.5%
Decimal Number 37762
 
16.3%
Dash Punctuation 6664
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 12611
 
9.1%
남 11167
 
8.1%
시 10735
 
7.8%
도 10716
 
7.8%
나 10000
 
7.3%
주 10000
 
7.3%
라 10000
 
7.3%
리 9135
 
6.6%
면 8587
 
6.2%
답 5930
 
4.3%
Other values (108) 38987
28.3%
Decimal Number
ValueCountFrequency (%)
1 7516
19.9%
2 4647
12.3%
3 3981
10.5%
4 3832
10.1%
5 3462
9.2%
6 3270
8.7%
7 2989
 
7.9%
8 2797
 
7.4%
0 2643
 
7.0%
9 2625
 
7.0%
Space Separator
ValueCountFrequency (%)
49939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6664
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137868
59.4%
Common 94365
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 12611
 
9.1%
남 11167
 
8.1%
시 10735
 
7.8%
도 10716
 
7.8%
나 10000
 
7.3%
주 10000
 
7.3%
라 10000
 
7.3%
리 9135
 
6.6%
면 8587
 
6.2%
답 5930
 
4.3%
Other values (108) 38987
28.3%
Common
ValueCountFrequency (%)
49939
52.9%
1 7516
 
8.0%
- 6664
 
7.1%
2 4647
 
4.9%
3 3981
 
4.2%
4 3832
 
4.1%
5 3462
 
3.7%
6 3270
 
3.5%
7 2989
 
3.2%
8 2797
 
3.0%
Other values (2) 5268
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137868
59.4%
ASCII 94365
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49939
52.9%
1 7516
 
8.0%
- 6664
 
7.1%
2 4647
 
4.9%
3 3981
 
4.2%
4 3832
 
4.1%
5 3462
 
3.7%
6 3270
 
3.5%
7 2989
 
3.2%
8 2797
 
3.0%
Other values (2) 5268
 
5.6%
Hangul
ValueCountFrequency (%)
전 12611
 
9.1%
남 11167
 
8.1%
시 10735
 
7.8%
도 10716
 
7.8%
나 10000
 
7.3%
주 10000
 
7.3%
라 10000
 
7.3%
리 9135
 
6.6%
면 8587
 
6.2%
답 5930
 
4.3%
Other values (108) 38987
28.3%

면적
Text

Distinct3973
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:31:15.714893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.2914
Min length2

Characters and Unicode

Total characters42914
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

Unique1600 ?
Unique (%)16.0%

Sample

1st row1,556
2nd row3,456
3rd row1,640
4th row1,742
5th row1,164
ValueCountFrequency (%)
598 12
 
0.1%
209 11
 
0.1%
564 11
 
0.1%
248 11
 
0.1%
424 11
 
0.1%
640 11
 
0.1%
495 11
 
0.1%
748 11
 
0.1%
220 11
 
0.1%
370 11
 
0.1%
Other values (3963) 9889
98.9%
2023-12-13T04:31:16.413958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 6419
15.0%
1 5617
13.1%
2 5000
11.7%
3 4154
9.7%
4 3577
8.3%
5 3211
7.5%
8 3045
7.1%
0 3005
7.0%
9 2997
7.0%
6 2949
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36495
85.0%
Other Punctuation 6419
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5617
15.4%
2 5000
13.7%
3 4154
11.4%
4 3577
9.8%
5 3211
8.8%
8 3045
8.3%
0 3005
8.2%
9 2997
8.2%
6 2949
8.1%
7 2940
8.1%
Other Punctuation
ValueCountFrequency (%)
, 6419
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 6419
15.0%
1 5617
13.1%
2 5000
11.7%
3 4154
9.7%
4 3577
8.3%
5 3211
7.5%
8 3045
7.1%
0 3005
7.0%
9 2997
7.0%
6 2949
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 6419
15.0%
1 5617
13.1%
2 5000
11.7%
3 4154
9.7%
4 3577
8.3%
5 3211
7.5%
8 3045
7.1%
0 3005
7.0%
9 2997
7.0%
6 2949
6.9%

작물
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
논_벼
4806 
비경지
2366 
휴경지
1233 
시설
523 
기타경작지
 
299
Other values (13)
773 

Length

Max length5
Median length3
Mean length2.9605
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row비경지
2nd row논_벼
3rd row비경지
4th row비경지
5th row휴경지

Common Values

ValueCountFrequency (%)
논_벼 4806
48.1%
비경지 2366
23.7%
휴경지 1233
 
12.3%
시설 523
 
5.2%
기타경작지 299
 
3.0%
배 256
 
2.6%
과수_기타 191
 
1.9%
마늘 117
 
1.2%
배추 96
 
1.0%
양파 30
 
0.3%
Other values (8) 83
 
0.8%

Length

2023-12-13T04:31:16.616034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
논_벼 4806
48.1%
비경지 2366
23.7%
휴경지 1233
 
12.3%
시설 523
 
5.2%
기타경작지 299
 
3.0%
배 256
 
2.6%
과수_기타 191
 
1.9%
마늘 117
 
1.2%
배추 96
 
1.0%
양파 30
 
0.3%
Other values (8) 83
 
0.8%

지번코드
Real number (ℝ)

Distinct9790
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6170341 × 1018
Minimum4.6170101 × 1018
Maximum4.617043 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:31:16.811236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6170101 × 1018
5-th percentile4.6170126 × 1018
Q14.617032 × 1018
median4.617036 × 1018
Q34.617039 × 1018
95-th percentile4.617043 × 1018
Maximum4.617043 × 1018
Range3.2938003 × 1013
Interquartile range (IQR)6.9939999 × 1012

Descriptive statistics

Standard deviation8.0533787 × 1012
Coefficient of variation (CV)1.7442753 × 10-6
Kurtosis2.1894272
Mean4.6170341 × 1018
Median Absolute Deviation (MAD)3.0029956 × 1012
Skewness-1.6094672
Sum-1.8589403 × 1018
Variance6.4856908 × 1025
MonotonicityNot monotonic
2023-12-13T04:31:17.518489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4617035025116630000 7
 
0.1%
4617038027111960002 6
 
0.1%
4617033026108700000 5
 
0.1%
4617032029200770001 5
 
0.1%
4617040026100660001 5
 
0.1%
4617040028108970001 5
 
0.1%
4617039025200540000 4
 
< 0.1%
4617038023109370003 4
 
< 0.1%
4617043037101870000 3
 
< 0.1%
4617039026105050000 3
 
< 0.1%
Other values (9780) 9953
99.5%
ValueCountFrequency (%)
4617010100100020003 1
< 0.1%
4617010100100020004 1
< 0.1%
4617010100100230000 1
< 0.1%
4617010100100250005 1
< 0.1%
4617010100101970001 1
< 0.1%
4617010100102160003 1
< 0.1%
4617010100102440002 1
< 0.1%
4617010100102540000 1
< 0.1%
4617010100102690001 2
< 0.1%
4617010100102770003 1
< 0.1%
ValueCountFrequency (%)
4617043038103380000 1
< 0.1%
4617043038103360003 1
< 0.1%
4617043038103310000 1
< 0.1%
4617043038103250000 1
< 0.1%
4617043038103240000 1
< 0.1%
4617043038103230006 1
< 0.1%
4617043038103230005 1
< 0.1%
4617043038103230001 1
< 0.1%
4617043038102790003 1
< 0.1%
4617043038102790001 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-11-30 00:00:00
Maximum2021-11-30 00:00:00
2023-12-13T04:31:17.749750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:31:17.942175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:31:13.706020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:31:13.439623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:31:13.822962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:31:13.563550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:31:18.131209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
팜맵관리번호작물지번코드
팜맵관리번호1.0000.1510.052
작물0.1511.0000.273
지번코드0.0520.2731.000
2023-12-13T04:31:18.292469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
팜맵관리번호지번코드작물
팜맵관리번호1.0000.1390.119
지번코드0.1391.0000.125
작물0.1190.1251.000

Missing values

2023-12-13T04:31:13.981369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:31:14.124391image/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

팜맵관리번호주소면적작물지번코드데이터기준일자
268906606482전라남도 나주시 반남면 석천리 134-3 전1,556비경지46170330221013400032021-11-30
420906651175전라남도 나주시 동강면 장동리 1406 답3,456논_벼46170350251140600002021-11-30
1509413238943전라남도 나주시 세지면 대산리 194-1 답1,640비경지46170310221019400012021-11-30
368836663699전라남도 나주시 공산면 상방리 342-3 전1,742비경지46170340291034200032021-11-30
390646653291전라남도 나주시 동강면 월양리 465 전1,164휴경지46170350221046500002021-11-30
964146628646전라남도 나주시 봉황면 만봉리 332-2 답771비경지46170430371033200022021-11-30
145716614705전라남도 나주시 세지면 오봉리 산54-1 임495비경지46170310212005400012021-11-30
376546662608전라남도 나주시 공산면 복용리 139-6 전1,294논_벼46170340301013900062021-11-30
323866663110전라남도 나주시 공산면 남창리 481-8 과4,051배46170340221048100082021-11-30
544236686006전라남도 나주시 문평면 안곡리 573 전388비경지46170370211057300002021-11-30
팜맵관리번호주소면적작물지번코드데이터기준일자
204266599342전라남도 나주시 왕곡면 덕산리 632-1 과566과수_기타46170320211063200012021-11-30
176576612479전라남도 나주시 세지면 송제리 208-11 답5,767논_벼46170310261020800112021-11-30
628516690418전라남도 나주시 노안면 유곡리 31-2 답2,032논_벼46170380251003100022021-11-30
654486692763전라남도 나주시 노안면 안산리 23-15 답3,698시설46170380271002300152021-11-30
9002313239720전라남도 나주시 봉황면 옥산리 223-2 답3,441인삼46170430271022300022021-11-30
772426670774전라남도 나주시 산포면 매성리 1205-10 답1,921논_벼46170400211120500102021-11-30
8113242089전라남도 나주시 토계동 254 답3,745논_벼46170101001025400002021-11-30
371296663722전라남도 나주시 공산면 상방리 753 답537기타경작지46170340291075300002021-11-30
9439113239945전라남도 나주시 봉황면 오림리 465 과4,175비경지46170430331046500002021-11-30
6202413241393전라남도 나주시 노안면 도산리 85-4 답1,650논_벼46170380241008500042021-11-30