Overview

Dataset statistics

Number of variables7
Number of observations84
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory59.6 B

Variable types

Categorical3
Text2
Numeric2

Dataset

Description아프리카 돼지열병 방역을 위해 파주시에 설치된 방역초소 설치유형 및 위치 정보 (기준일자 : 2019-09-27)
Author경기도 파주시
URLhttps://www.data.go.kr/data/15040135/fileData.do

Alerts

기준일자 has constant value ""Constant
X좌표 is highly overall correlated with Y좌표 and 1 other fieldsHigh correlation
Y좌표 is highly overall correlated with X좌표 and 1 other fieldsHigh correlation
설치유형 is highly overall correlated with 설치읍면High correlation
설치읍면 is highly overall correlated with X좌표 and 2 other fieldsHigh correlation
설치유형 is highly imbalanced (59.0%)Imbalance
초소번호 has 1 (1.2%) missing valuesMissing
주소 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:55:36.183280
Analysis finished2023-12-12 21:55:36.988656
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
농가입구
70 
예찰지역(3~10km)
 
5
연천 예찰지역(3~10km)
 
5
거점소독시설
 
3
발생농장
 
1

Length

Max length15
Median length4
Mean length5.202381
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row발생농장
2nd row예찰지역(3~10km)
3rd row예찰지역(3~10km)
4th row예찰지역(3~10km)
5th row예찰지역(3~10km)

Common Values

ValueCountFrequency (%)
농가입구 70
83.3%
예찰지역(3~10km) 5
 
6.0%
연천 예찰지역(3~10km) 5
 
6.0%
거점소독시설 3
 
3.6%
발생농장 1
 
1.2%

Length

2023-12-13T06:55:37.054664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:37.165456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농가입구 70
78.7%
예찰지역(3~10km 10
 
11.2%
연천 5
 
5.6%
거점소독시설 3
 
3.4%
발생농장 1
 
1.1%

초소번호
Text

MISSING 

Distinct83
Distinct (%)100.0%
Missing1
Missing (%)1.2%
Memory size804.0 B
2023-12-13T06:55:37.484951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.3493976
Min length2

Characters and Unicode

Total characters361
Distinct characters33
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

Unique83 ?
Unique (%)100.0%

Sample

1st row교하
2nd row운정-1
3rd row운정-2
4th row월롱-1
5th row조리-2
ValueCountFrequency (%)
교하 1
 
1.2%
법원-10 1
 
1.2%
광탄-12 1
 
1.2%
광탄-3 1
 
1.2%
광탄-11 1
 
1.2%
광탄-10 1
 
1.2%
광탄-9 1
 
1.2%
광탄-2 1
 
1.2%
광탄-8 1
 
1.2%
적성-6 1
 
1.2%
Other values (73) 73
88.0%
2023-12-13T06:55:37.949600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
22.7%
1 36
 
10.0%
파 30
 
8.3%
평 22
 
6.1%
적 19
 
5.3%
성 19
 
5.3%
2 16
 
4.4%
탄 13
 
3.6%
광 12
 
3.3%
3 10
 
2.8%
Other values (23) 102
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
46.5%
Decimal Number 109
30.2%
Dash Punctuation 82
22.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 30
17.9%
평 22
13.1%
적 19
11.3%
성 19
11.3%
탄 13
7.7%
광 12
 
7.1%
법 9
 
5.4%
원 9
 
5.4%
주 8
 
4.8%
문 6
 
3.6%
Other values (10) 21
12.5%
Decimal Number
ValueCountFrequency (%)
1 36
33.0%
2 16
14.7%
3 10
 
9.2%
6 8
 
7.3%
4 8
 
7.3%
5 8
 
7.3%
7 7
 
6.4%
8 6
 
5.5%
0 5
 
4.6%
9 5
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
53.5%
Hangul 168
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 30
17.9%
평 22
13.1%
적 19
11.3%
성 19
11.3%
탄 13
7.7%
광 12
 
7.1%
법 9
 
5.4%
원 9
 
5.4%
주 8
 
4.8%
문 6
 
3.6%
Other values (10) 21
12.5%
Common
ValueCountFrequency (%)
- 82
42.5%
1 36
18.7%
2 16
 
8.3%
3 10
 
5.2%
6 8
 
4.1%
4 8
 
4.1%
5 8
 
4.1%
7 7
 
3.6%
8 6
 
3.1%
0 5
 
2.6%
Other values (3) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
53.5%
Hangul 168
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
42.5%
1 36
18.7%
2 16
 
8.3%
3 10
 
5.2%
6 8
 
4.1%
4 8
 
4.1%
5 8
 
4.1%
7 7
 
3.6%
8 6
 
3.1%
0 5
 
2.6%
Other values (3) 7
 
3.6%
Hangul
ValueCountFrequency (%)
파 30
17.9%
평 22
13.1%
적 19
11.3%
성 19
11.3%
탄 13
7.7%
광 12
 
7.1%
법 9
 
5.4%
원 9
 
5.4%
주 8
 
4.8%
문 6
 
3.6%
Other values (10) 21
12.5%

설치읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
파평면
21 
적성면
19 
광탄면
12 
법원읍
9 
파주읍
8 
Other values (5)
15 

Length

Max length4
Median length3
Mean length3.047619
Min length3

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row금촌교하
2nd row금촌교하
3rd row금촌교하
4th row월롱면
5th row조리읍

Common Values

ValueCountFrequency (%)
파평면 21
25.0%
적성면 19
22.6%
광탄면 12
14.3%
법원읍 9
10.7%
파주읍 8
 
9.5%
문산읍 6
 
7.1%
금촌교하 4
 
4.8%
조리읍 3
 
3.6%
월롱면 1
 
1.2%
탄현면 1
 
1.2%

Length

2023-12-13T06:55:38.091074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:38.222213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파평면 21
25.0%
적성면 19
22.6%
광탄면 12
14.3%
법원읍 9
10.7%
파주읍 8
 
9.5%
문산읍 6
 
7.1%
금촌교하 4
 
4.8%
조리읍 3
 
3.6%
월롱면 1
 
1.2%
탄현면 1
 
1.2%

주소
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T06:55:38.552710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length20.333333
Min length15

Characters and Unicode

Total characters1708
Distinct characters82
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

Unique84 ?
Unique (%)100.0%

Sample

1st row경기도 파주시 연다산동 793
2nd row경기도 파주시 당하동 569
3rd row경기도 파주시 상지석동 1537
4th row경기도 파주시 월롱면 도내리 647
5th row경기도 파주시 조리읍 대원리 1463
ValueCountFrequency (%)
경기도 84
20.1%
파주시 84
20.1%
파평면 21
 
5.0%
적성면 19
 
4.6%
광탄면 12
 
2.9%
덕천리 11
 
2.6%
법원읍 9
 
2.2%
파주읍 8
 
1.9%
문산읍 6
 
1.4%
금파리 5
 
1.2%
Other values (126) 158
37.9%
2023-12-13T06:55:39.072947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
19.6%
파 118
 
6.9%
주 92
 
5.4%
도 85
 
5.0%
경 84
 
4.9%
시 84
 
4.9%
기 84
 
4.9%
리 83
 
4.9%
1 70
 
4.1%
- 60
 
3.5%
Other values (72) 613
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1004
58.8%
Space Separator 335
 
19.6%
Decimal Number 309
 
18.1%
Dash Punctuation 60
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 118
11.8%
주 92
 
9.2%
도 85
 
8.5%
경 84
 
8.4%
시 84
 
8.4%
기 84
 
8.4%
리 83
 
8.3%
면 54
 
5.4%
읍 27
 
2.7%
평 21
 
2.1%
Other values (60) 272
27.1%
Decimal Number
ValueCountFrequency (%)
1 70
22.7%
2 45
14.6%
3 35
11.3%
5 31
10.0%
4 27
 
8.7%
7 24
 
7.8%
6 23
 
7.4%
8 20
 
6.5%
9 17
 
5.5%
0 17
 
5.5%
Space Separator
ValueCountFrequency (%)
335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1004
58.8%
Common 704
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 118
11.8%
주 92
 
9.2%
도 85
 
8.5%
경 84
 
8.4%
시 84
 
8.4%
기 84
 
8.4%
리 83
 
8.3%
면 54
 
5.4%
읍 27
 
2.7%
평 21
 
2.1%
Other values (60) 272
27.1%
Common
ValueCountFrequency (%)
335
47.6%
1 70
 
9.9%
- 60
 
8.5%
2 45
 
6.4%
3 35
 
5.0%
5 31
 
4.4%
4 27
 
3.8%
7 24
 
3.4%
6 23
 
3.3%
8 20
 
2.8%
Other values (2) 34
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1004
58.8%
ASCII 704
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
47.6%
1 70
 
9.9%
- 60
 
8.5%
2 45
 
6.4%
3 35
 
5.0%
5 31
 
4.4%
4 27
 
3.8%
7 24
 
3.4%
6 23
 
3.3%
8 20
 
2.8%
Other values (2) 34
 
4.8%
Hangul
ValueCountFrequency (%)
파 118
11.8%
주 92
 
9.2%
도 85
 
8.5%
경 84
 
8.4%
시 84
 
8.4%
기 84
 
8.4%
리 83
 
8.3%
면 54
 
5.4%
읍 27
 
2.7%
평 21
 
2.1%
Other values (60) 272
27.1%

X좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.86722
Minimum126.71329
Maximum127.01049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T06:55:39.252381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71329
5-th percentile126.76087
Q1126.83834
median126.8657
Q3126.89676
95-th percentile126.98512
Maximum127.01049
Range0.2972058
Interquartile range (IQR)0.05842375

Descriptive statistics

Standard deviation0.059651897
Coefficient of variation (CV)0.00047019156
Kurtosis0.57842911
Mean126.86722
Median Absolute Deviation (MAD)0.03154355
Skewness0.23872855
Sum10656.847
Variance0.0035583488
MonotonicityNot monotonic
2023-12-13T06:55:39.421855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7132851 1
 
1.2%
126.9569737 1
 
1.2%
126.9001028 1
 
1.2%
126.8748233 1
 
1.2%
126.8764841 1
 
1.2%
126.8737259 1
 
1.2%
126.8637411 1
 
1.2%
126.8657316 1
 
1.2%
126.8668942 1
 
1.2%
126.8685068 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
126.7132851 1
1.2%
126.7355198 1
1.2%
126.749543 1
1.2%
126.7547097 1
1.2%
126.7566092 1
1.2%
126.7850127 1
1.2%
126.7955481 1
1.2%
126.797218 1
1.2%
126.8008468 1
1.2%
126.8052326 1
1.2%
ValueCountFrequency (%)
127.0104909 1
1.2%
127.0079975 1
1.2%
126.9901194 1
1.2%
126.9856554 1
1.2%
126.9856489 1
1.2%
126.9821378 1
1.2%
126.9764703 1
1.2%
126.9594123 1
1.2%
126.9569737 1
1.2%
126.9557837 1
1.2%

Y좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.880372
Minimum37.729853
Maximum38.000795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T06:55:39.612574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.729853
5-th percentile37.742808
Q137.807025
median37.89872
Q337.940796
95-th percentile37.982668
Maximum38.000795
Range0.2709426
Interquartile range (IQR)0.13377136

Descriptive statistics

Standard deviation0.079131988
Coefficient of variation (CV)0.0020889971
Kurtosis-1.1609772
Mean37.880372
Median Absolute Deviation (MAD)0.060726085
Skewness-0.3915253
Sum3181.9513
Variance0.0062618716
MonotonicityNot monotonic
2023-12-13T06:55:39.773940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.74182434 1
 
1.2%
37.96009098 1
 
1.2%
37.91543461 1
 
1.2%
37.79178714 1
 
1.2%
37.78932522 1
 
1.2%
37.78928089 1
 
1.2%
37.78665332 1
 
1.2%
37.78863666 1
 
1.2%
37.78834149 1
 
1.2%
37.78532961 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
37.72985281 1
1.2%
37.73050581 1
1.2%
37.73290799 1
1.2%
37.73935802 1
1.2%
37.74182434 1
1.2%
37.74838022 1
1.2%
37.75335723 1
1.2%
37.75832106 1
1.2%
37.76398338 1
1.2%
37.77045337 1
1.2%
ValueCountFrequency (%)
38.00079541 1
1.2%
37.99862079 1
1.2%
37.9927881 1
1.2%
37.99204697 1
1.2%
37.98318243 1
1.2%
37.97975264 1
1.2%
37.97875014 1
1.2%
37.97503671 1
1.2%
37.96893522 1
1.2%
37.96873494 1
1.2%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2019-09-27
84 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-27
2nd row2019-09-27
3rd row2019-09-27
4th row2019-09-27
5th row2019-09-27

Common Values

ValueCountFrequency (%)
2019-09-27 84
100.0%

Length

2023-12-13T06:55:39.921688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:40.026106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-27 84
100.0%

Interactions

2023-12-13T06:55:36.632231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:36.451874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:36.725558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:36.537389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:55:40.109624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치유형초소번호설치읍면주소X좌표Y좌표
설치유형1.0001.0000.8551.0000.8030.576
초소번호1.0001.0001.0001.0001.0001.000
설치읍면0.8551.0001.0001.0000.9020.955
주소1.0001.0001.0001.0001.0001.000
X좌표0.8031.0000.9021.0001.0000.843
Y좌표0.5761.0000.9551.0000.8431.000
2023-12-13T06:55:40.243408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치유형설치읍면
설치유형1.0000.505
설치읍면0.5051.000
2023-12-13T06:55:40.334743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표설치유형설치읍면
X좌표1.0000.6530.4440.502
Y좌표0.6531.0000.2640.640
설치유형0.4440.2641.0000.505
설치읍면0.5020.6400.5051.000

Missing values

2023-12-13T06:55:36.832875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:55:36.949699image/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

설치유형초소번호설치읍면주소X좌표Y좌표기준일자
0발생농장교하금촌교하경기도 파주시 연다산동 793126.71328537.7418242019-09-27
1예찰지역(3~10km)운정-1금촌교하경기도 파주시 당하동 569126.74954337.7393582019-09-27
2예찰지역(3~10km)운정-2금촌교하경기도 파주시 상지석동 1537126.78501337.7329082019-09-27
3예찰지역(3~10km)월롱-1월롱면경기도 파주시 월롱면 도내리 647126.81115337.7845942019-09-27
4예찰지역(3~10km)조리-2조리읍경기도 파주시 조리읍 대원리 1463126.80523337.7298532019-09-27
5예찰지역(3~10km)조리-3조리읍경기도 파주시 조리읍 뇌조리 533-1126.81610137.7704532019-09-27
6연천 예찰지역(3~10km)파평-2(적성)적성면경기도 파주시 적성면 두지리 70-32126.89585237.9670212019-09-27
7연천 예찰지역(3~10km)파평-3파평면경기도 파주시 파평면 금파리 402-7126.83276537.9312662019-09-27
8연천 예찰지역(3~10km)파평-4파평면경기도 파주시 파평면 덕천리 산1-27126.90038537.9262672019-09-27
9연천 예찰지역(3~10km)적성-11적성면경기도 파주시 적성면 구읍리 124-9126.93208237.950932019-09-27
설치유형초소번호설치읍면주소X좌표Y좌표기준일자
74농가입구문산-4문산읍경기도 파주시 문산읍 내포리 765126.7547137.8386392019-09-27
75농가입구문산-5문산읍경기도 파주시 문산읍 선유리 348-7126.80084737.8779232019-09-27
76농가입구문산-6문산읍경기도 파주시 문산읍 이천리 434-3126.82665437.8640192019-09-27
77농가입구적성-13적성면경기도 파주시 적성면 마지리 246126.90716937.9513592019-09-27
78농가입구적성-14적성면경기도 파주시 적성면 어유지리 211-1126.98564938.0007952019-09-27
79농가입구적성-15적성면경기도 파주시 적성면 어유지리 380-16126.98213837.9986212019-09-27
80농가입구파주-5파주읍경기도 파주시 파주읍 백석리 124-1126.8152137.8021412019-09-27
81농가입구파주-6파주읍경기도 파주시 파주읍 백석리 153-5126.80828837.8096222019-09-27
82농가입구파주-7파주읍경기도 파주시 파주읍 봉암리 253126.79721837.8213762019-09-27
83농가입구파주-8파주읍경기도 파주시 파주읍 연풍리 산 1-1126.85422637.8205652019-09-27