Overview

Dataset statistics

Number of variables6
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory50.0 B

Variable types

Text2
Numeric1
Categorical1
DateTime2

Dataset

Description남양주시 농지보전부담금 감면에 대한 데이터로 농지전용업무처리규정에 따라 공개하며 관리번호, 사업명, 감면금액, 감면사유, 공개날짜 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/3034272/fileData.do

Alerts

데이터기준일 has constant value ""Constant
감면금액(원) is highly overall correlated with 감면사유High correlation
감면사유 is highly overall correlated with 감면금액(원)High correlation

Reproduction

Analysis started2023-12-12 03:26:44.247749
Analysis finished2023-12-12 03:26:45.408878
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

Distinct91
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T12:26:45.668847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.4573643
Min length1

Characters and Unicode

Total characters317
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)53.5%

Sample

1st row1
2nd row6
3rd row7
4th row5
5th row8
ValueCountFrequency (%)
3 9
 
6.2%
1 8
 
5.5%
2 7
 
4.8%
19년 7
 
4.8%
5 5
 
3.4%
20년 5
 
3.4%
4 4
 
2.8%
18년 4
 
2.8%
7 4
 
2.8%
19 3
 
2.1%
Other values (70) 89
61.4%
2023-12-12T12:26:46.245941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 69
21.8%
3 36
11.4%
2 30
9.5%
6 29
9.1%
4 26
 
8.2%
8 24
 
7.6%
5 23
 
7.3%
9 20
 
6.3%
년 16
 
5.0%
16
 
5.0%
Other values (2) 28
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 285
89.9%
Other Letter 16
 
5.0%
Space Separator 16
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 69
24.2%
3 36
12.6%
2 30
10.5%
6 29
10.2%
4 26
 
9.1%
8 24
 
8.4%
5 23
 
8.1%
9 20
 
7.0%
0 16
 
5.6%
7 12
 
4.2%
Other Letter
ValueCountFrequency (%)
년 16
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
95.0%
Hangul 16
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 69
22.9%
3 36
12.0%
2 30
10.0%
6 29
9.6%
4 26
 
8.6%
8 24
 
8.0%
5 23
 
7.6%
9 20
 
6.6%
16
 
5.3%
0 16
 
5.3%
Hangul
ValueCountFrequency (%)
년 16
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
95.0%
Hangul 16
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 69
22.9%
3 36
12.0%
2 30
10.0%
6 29
9.6%
4 26
 
8.6%
8 24
 
8.0%
5 23
 
7.6%
9 20
 
6.6%
16
 
5.3%
0 16
 
5.3%
Hangul
ValueCountFrequency (%)
년 16
100.0%

사업명
Text

Distinct53
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T12:26:46.655907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length8.4108527
Min length3

Characters and Unicode

Total characters1085
Distinct characters122
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

Unique44 ?
Unique (%)34.1%

Sample

1st row임야 부지조성
2nd row농산물보관창고
3rd row농산물보관창고
4th row농산물보관창고
5th row농산물보관창고
ValueCountFrequency (%)
농산물보관창고 58
32.8%
부지조성 15
 
8.5%
농수산물보관창고 8
 
4.5%
농업용창고 7
 
4.0%
농업용 5
 
2.8%
및 4
 
2.3%
콩나물재배사 3
 
1.7%
마을회관 3
 
1.7%
진출입로 2
 
1.1%
마을공동구판장 2
 
1.1%
Other values (61) 70
39.5%
2023-12-12T12:26:47.302561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 93
 
8.6%
창 87
 
8.0%
고 86
 
7.9%
관 79
 
7.3%
물 76
 
7.0%
산 73
 
6.7%
보 72
 
6.6%
54
 
5.0%
지 19
 
1.8%
성 18
 
1.7%
Other values (112) 428
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 987
91.0%
Space Separator 54
 
5.0%
Open Punctuation 13
 
1.2%
Close Punctuation 13
 
1.2%
Other Punctuation 12
 
1.1%
Decimal Number 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 93
 
9.4%
창 87
 
8.8%
고 86
 
8.7%
관 79
 
8.0%
물 76
 
7.7%
산 73
 
7.4%
보 72
 
7.3%
지 19
 
1.9%
성 18
 
1.8%
조 18
 
1.8%
Other values (104) 366
37.1%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
/ 4
33.3%
: 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 987
91.0%
Common 98
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 93
 
9.4%
창 87
 
8.8%
고 86
 
8.7%
관 79
 
8.0%
물 76
 
7.7%
산 73
 
7.4%
보 72
 
7.3%
지 19
 
1.9%
성 18
 
1.8%
조 18
 
1.8%
Other values (104) 366
37.1%
Common
ValueCountFrequency (%)
54
55.1%
( 13
 
13.3%
) 13
 
13.3%
, 7
 
7.1%
/ 4
 
4.1%
1 3
 
3.1%
2 3
 
3.1%
: 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 987
91.0%
ASCII 98
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 93
 
9.4%
창 87
 
8.8%
고 86
 
8.7%
관 79
 
8.0%
물 76
 
7.7%
산 73
 
7.4%
보 72
 
7.3%
지 19
 
1.9%
성 18
 
1.8%
조 18
 
1.8%
Other values (104) 366
37.1%
ASCII
ValueCountFrequency (%)
54
55.1%
( 13
 
13.3%
) 13
 
13.3%
, 7
 
7.1%
/ 4
 
4.1%
1 3
 
3.1%
2 3
 
3.1%
: 1
 
1.0%

감면금액(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct110
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19334775
Minimum379260
Maximum2.08625 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:26:47.524942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379260
5-th percentile2100400
Q16400000
median9813210
Q317171520
95-th percentile81663360
Maximum2.08625 × 108
Range2.0824574 × 108
Interquartile range (IQR)10771520

Descriptive statistics

Standard deviation29644889
Coefficient of variation (CV)1.533242
Kurtosis16.198786
Mean19334775
Median Absolute Deviation (MAD)4167210
Skewness3.6590354
Sum2.494186 × 109
Variance8.7881946 × 1014
MonotonicityNot monotonic
2023-12-12T12:26:47.768125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9900000 7
 
5.4%
6600000 3
 
2.3%
6500000 3
 
2.3%
14900000 3
 
2.3%
11400000 2
 
1.6%
3248700 2
 
1.6%
10600000 2
 
1.6%
6550000 2
 
1.6%
9600000 2
 
1.6%
9800000 2
 
1.6%
Other values (100) 101
78.3%
ValueCountFrequency (%)
379260 1
0.8%
684355 1
0.8%
925000 1
0.8%
1550000 1
0.8%
1835840 1
0.8%
1972410 1
0.8%
2034000 1
0.8%
2200000 1
0.8%
3000000 1
0.8%
3200000 1
0.8%
ValueCountFrequency (%)
208625000 1
0.8%
143308050 1
0.8%
127800000 1
0.8%
105575000 1
0.8%
93700000 1
0.8%
90050000 1
0.8%
90000000 1
0.8%
69158400 1
0.8%
68773500 1
0.8%
66894900 1
0.8%

감면사유
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
별표2의3.러
21 
전액감면(별표2의3.러)
16 
별표2의3호 머목(100%감면)
12 
별표2의3호 러목(100%감면)
12 
별표2의 3, 러
10 
Other values (37)
58 

Length

Max length35
Median length31
Mean length12.527132
Min length6

Unique

Unique31 ?
Unique (%)24.0%

Sample

1st row별표2의 3, 호
2nd row별표2의 3, 머
3rd row별표2의 3, 머
4th row별표2의 3, 머
5th row별표2의 3, 러

Common Values

ValueCountFrequency (%)
별표2의3.러 21
16.3%
전액감면(별표2의3.러) 16
12.4%
별표2의3호 머목(100%감면) 12
 
9.3%
별표2의3호 러목(100%감면) 12
 
9.3%
별표2의 3, 러 10
 
7.8%
별표2의3호러목 8
 
6.2%
별표2의 3, 머 7
 
5.4%
별표2의3호 가목(100%감면) 6
 
4.7%
별표2 제1호 다목(50%감면) 2
 
1.6%
별표2제1항 다목 2
 
1.6%
Other values (32) 33
25.6%

Length

2023-12-12T12:26:48.002471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
별표2의3호 40
16.1%
별표2의 24
 
9.7%
별표2의3.러 21
 
8.5%
3 19
 
7.7%
전액감면(별표2의3.러 16
 
6.5%
러목(100%감면 12
 
4.8%
머목(100%감면 12
 
4.8%
러 10
 
4.0%
별표2의3호러목 8
 
3.2%
머 7
 
2.8%
Other values (51) 79
31.9%

공개날짜
Date

Distinct59
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-03-05 00:00:00
Maximum2023-01-13 00:00:00
2023-12-12T12:26:48.205915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:26:48.833837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-02-02 00:00:00
Maximum2023-02-02 00:00:00
2023-12-12T12:26:49.004577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:26:49.149019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:26:44.907218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:26:49.236544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호사업명감면금액(원)감면사유공개날짜
관리번호1.0000.9450.7830.9380.000
사업명0.9451.0000.9960.9970.949
감면금액(원)0.7830.9961.0000.9810.883
감면사유0.9380.9970.9811.0000.924
공개날짜0.0000.9490.8830.9241.000
2023-12-12T12:26:49.358058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감면금액(원)감면사유
감면금액(원)1.0000.739
감면사유0.7391.000

Missing values

2023-12-12T12:26:45.122192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:26:45.334236image/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

관리번호사업명감면금액(원)감면사유공개날짜데이터기준일
01임야 부지조성93700000별표2의 3, 호2018-03-052023-02-02
16농산물보관창고6500000별표2의 3, 머2018-03-052023-02-02
27농산물보관창고9900000별표2의 3, 머2018-03-052023-02-02
35농산물보관창고6400000별표2의 3, 머2018-03-302023-02-02
48농산물보관창고1550000별표2의 3, 러2018-06-012023-02-02
59농산물보관창고5742000별표2의 3, 러2018-06-012023-02-02
610콩나물재배사32105700별표2의 3, 러2018-06-012023-02-02
711농산물보관창고7100000별표2의 3, 러2018-06-012023-02-02
812농산물보관창고10300000별표2의 3, 러2018-06-262023-02-02
913공동구판장38361600별표2의 3, 쿠52018-06-262023-02-02
관리번호사업명감면금액(원)감면사유공개날짜데이터기준일
11989마을회관32821620별표2의3호 가목(100%감면)2022-09-052023-02-02
12093취사식당30400000별표2의3호 터목(100%감면)2022-09-052023-02-02
1213화도 공영도시농업농장 편의시설 부지조성8162460농지법 시행령 제52조 [별표2]제1호다목 규정에 따른 감면대상2022-09-212023-02-02
1225흥원(주변지역) 정비 및 관리공사143308050별표2의 제3호 하목2022-10-052023-02-02
12388농산물보관창고9800000별표2의3호 러목(100%감면)2022-11-152023-02-02
1247노유자시설 부지조성4224150별표2의 3호 가목2022-11-152023-02-02
125128체험, 실습장20000000별표2의3호 어목(100%감면)2022-12-282023-02-02
126143농산물보관창고7900000별표2의3호 러목(100%감면)2022-12-282023-02-02
127164마을회관28600000별표2의3호 가목(100%감면)2022-12-282023-02-02
1283농산물보관창고13672520별표2의3호 러목(100%감면)2023-01-132023-02-02