Overview

Dataset statistics

Number of variables9
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory80.1 B

Variable types

Categorical5
Text1
Numeric3

Dataset

Description제주특별자치도의 시 군별, 읍면동별 가금류 농가에 대한 주 사육업종의 농가 수와 사육두수에 대한 현황 데이터를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097050/fileData.do

Alerts

시도명 has constant value ""Constant
분류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
읍면동코드 is highly overall correlated with 시군구명High correlation
농가수 is highly overall correlated with 사육두수High correlation
사육두수 is highly overall correlated with 농가수High correlation
시군구명 is highly overall correlated with 읍면동코드High correlation

Reproduction

Analysis started2024-04-17 17:58:26.082084
Analysis finished2024-04-17 17:58:27.101475
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
제주특별자치도
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 26
100.0%

Length

2024-04-18T02:58:27.153569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:27.229132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 26
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
제주시
13 
서귀포시
13 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 13
50.0%
서귀포시 13
50.0%

Length

2024-04-18T02:58:27.303086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:27.376145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 13
50.0%
서귀포시 13
50.0%

읍면동명
Text

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T02:58:27.482454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0384615
Min length3

Characters and Unicode

Total characters79
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)26.9%

Sample

1st row구좌읍
2nd row애월읍
3rd row조천읍
4th row한림읍
5th row구좌읍
ValueCountFrequency (%)
구좌읍 3
11.5%
남원읍 3
11.5%
표선면 3
11.5%
애월읍 2
 
7.7%
조천읍 2
 
7.7%
한림읍 2
 
7.7%
대정읍 2
 
7.7%
성산읍 2
 
7.7%
아라이동 1
 
3.8%
노형동 1
 
3.8%
Other values (5) 5
19.2%
2024-04-18T02:58:27.703564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
읍 16
20.3%
동 6
 
7.6%
면 4
 
5.1%
구 3
 
3.8%
남 3
 
3.8%
원 3
 
3.8%
표 3
 
3.8%
선 3
 
3.8%
좌 3
 
3.8%
정 3
 
3.8%
Other values (22) 32
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
읍 16
20.3%
동 6
 
7.6%
면 4
 
5.1%
구 3
 
3.8%
남 3
 
3.8%
원 3
 
3.8%
표 3
 
3.8%
선 3
 
3.8%
좌 3
 
3.8%
정 3
 
3.8%
Other values (22) 32
40.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
읍 16
20.3%
동 6
 
7.6%
면 4
 
5.1%
구 3
 
3.8%
남 3
 
3.8%
원 3
 
3.8%
표 3
 
3.8%
선 3
 
3.8%
좌 3
 
3.8%
정 3
 
3.8%
Other values (22) 32
40.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
읍 16
20.3%
동 6
 
7.6%
면 4
 
5.1%
구 3
 
3.8%
남 3
 
3.8%
원 3
 
3.8%
표 3
 
3.8%
선 3
 
3.8%
좌 3
 
3.8%
정 3
 
3.8%
Other values (22) 32
40.5%

읍면동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50120233
Minimum50110118
Maximum50130320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T02:58:27.796406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50110118
5-th percentile50110124
Q150110253
median50120182
Q350130253
95-th percentile50130320
Maximum50130320
Range20202
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation10216.715
Coefficient of variation (CV)0.00020384412
Kurtosis-2.1737205
Mean50120233
Median Absolute Deviation (MAD)10055.5
Skewness1.3642068 × 10-5
Sum1.3031261 × 109
Variance1.0438126 × 108
MonotonicityNot monotonic
2024-04-18T02:58:27.890818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
50110256 3
11.5%
50130253 3
11.5%
50130320 3
11.5%
50110253 2
 
7.7%
50110259 2
 
7.7%
50110250 2
 
7.7%
50130250 2
 
7.7%
50130259 2
 
7.7%
50110118 1
 
3.8%
50110122 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
50110118 1
 
3.8%
50110122 1
 
3.8%
50110132 1
 
3.8%
50110134 1
 
3.8%
50110250 2
7.7%
50110253 2
7.7%
50110256 3
11.5%
50110259 2
7.7%
50130106 1
 
3.8%
50130116 1
 
3.8%
ValueCountFrequency (%)
50130320 3
11.5%
50130310 1
 
3.8%
50130259 2
7.7%
50130253 3
11.5%
50130250 2
7.7%
50130116 1
 
3.8%
50130106 1
 
3.8%
50110259 2
7.7%
50110256 3
11.5%
50110253 2
7.7%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
가금류
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가금류 26
100.0%

Length

2024-04-18T02:58:27.985518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:28.053893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가금류 26
100.0%

주사육업종
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
육계
13 
산란계
8 
오리
5 

Length

Max length3
Median length2
Mean length2.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산란계
2nd row산란계
3rd row산란계
4th row산란계
5th row오리

Common Values

ValueCountFrequency (%)
육계 13
50.0%
산란계 8
30.8%
오리 5
 
19.2%

Length

2024-04-18T02:58:28.130325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:28.209019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 13
50.0%
산란계 8
30.8%
오리 5
 
19.2%

농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6153846
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T02:58:28.498605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35.5
95-th percentile13.75
Maximum18
Range17
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.5701372
Coefficient of variation (CV)1.2640805
Kurtosis3.8709962
Mean3.6153846
Median Absolute Deviation (MAD)0
Skewness2.0592261
Sum94
Variance20.886154
MonotonicityNot monotonic
2024-04-18T02:58:28.574339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 15
57.7%
2 3
 
11.5%
7 2
 
7.7%
6 2
 
7.7%
18 1
 
3.8%
10 1
 
3.8%
15 1
 
3.8%
4 1
 
3.8%
ValueCountFrequency (%)
1 15
57.7%
2 3
 
11.5%
4 1
 
3.8%
6 2
 
7.7%
7 2
 
7.7%
10 1
 
3.8%
15 1
 
3.8%
18 1
 
3.8%
ValueCountFrequency (%)
18 1
 
3.8%
15 1
 
3.8%
10 1
 
3.8%
7 2
 
7.7%
6 2
 
7.7%
4 1
 
3.8%
2 3
 
11.5%
1 15
57.7%

사육두수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105028.08
Minimum40
Maximum756560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-18T02:58:28.674520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile62.5
Q11775
median17798
Q3111487.5
95-th percentile432050
Maximum756560
Range756520
Interquartile range (IQR)109712.5

Descriptive statistics

Standard deviation187231.13
Coefficient of variation (CV)1.7826769
Kurtosis5.1775373
Mean105028.08
Median Absolute Deviation (MAD)17147
Skewness2.2750345
Sum2730730
Variance3.5055496 × 1010
MonotonicityNot monotonic
2024-04-18T02:58:28.759807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20000 2
 
7.7%
370692 1
 
3.8%
50000 1
 
3.8%
57900 1
 
3.8%
149700 1
 
3.8%
1000 1
 
3.8%
16800 1
 
3.8%
17620 1
 
3.8%
1500 1
 
3.8%
50 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
40 1
3.8%
50 1
3.8%
100 1
3.8%
302 1
3.8%
1000 1
3.8%
1200 1
3.8%
1500 1
3.8%
2600 1
3.8%
8350 1
3.8%
8500 1
3.8%
ValueCountFrequency (%)
756560 1
3.8%
446000 1
3.8%
390200 1
3.8%
370692 1
3.8%
234290 1
3.8%
149700 1
3.8%
129350 1
3.8%
57900 1
3.8%
50000 1
3.8%
20000 2
7.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021-12-21
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-21
2nd row2021-12-21
3rd row2021-12-21
4th row2021-12-21
5th row2021-12-21

Common Values

ValueCountFrequency (%)
2021-12-21 26
100.0%

Length

2024-04-18T02:58:28.848647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:28.915175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-21 26
100.0%

Interactions

2024-04-18T02:58:26.721135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.297354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.516049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.794478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.371915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.589573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.861144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.445345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:26.652031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:58:28.958707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명읍면동명읍면동코드주사육업종농가수사육두수
시군구명1.0001.0000.9910.0000.1970.348
읍면동명1.0001.0001.0000.0000.0000.000
읍면동코드0.9911.0001.0000.0000.2570.436
주사육업종0.0000.0000.0001.0000.0000.179
농가수0.1970.0000.2570.0001.0000.948
사육두수0.3480.0000.4360.1790.9481.000
2024-04-18T02:58:29.034505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종시군구명
주사육업종1.0000.000
시군구명0.0001.000
2024-04-18T02:58:29.109021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동코드농가수사육두수시군구명주사육업종
읍면동코드1.000-0.224-0.1550.9200.000
농가수-0.2241.0000.7940.1610.000
사육두수-0.1550.7941.0000.2110.000
시군구명0.9200.1610.2111.0000.000
주사육업종0.0000.0000.0000.0001.000

Missing values

2024-04-18T02:58:26.965346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:58:27.063386image/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

시도명시군구명읍면동명읍면동코드분류주사육업종농가수사육두수데이터기준일자
0제주특별자치도제주시구좌읍50110256가금류산란계73706922021-12-21
1제주특별자치도제주시애월읍50110253가금류산란계285002021-12-21
2제주특별자치도제주시조천읍50110259가금류산란계1200002021-12-21
3제주특별자치도제주시한림읍50110250가금류산란계187565602021-12-21
4제주특별자치도제주시구좌읍50110256가금류오리2180002021-12-21
5제주특별자치도제주시아라이동50110118가금류오리1179762021-12-21
6제주특별자치도제주시구좌읍50110256가금류육계74460002021-12-21
7제주특별자치도제주시노형동50110122가금류육계13022021-12-21
8제주특별자치도제주시애월읍50110253가금류육계61293502021-12-21
9제주특별자치도제주시오등동50110134가금류육계1402021-12-21
시도명시군구명읍면동명읍면동코드분류주사육업종농가수사육두수데이터기준일자
16제주특별자치도서귀포시표선면50130320가금류산란계183502021-12-21
17제주특별자치도서귀포시남원읍50130253가금류오리11002021-12-21
18제주특별자치도서귀포시안덕면50130310가금류오리112002021-12-21
19제주특별자치도서귀포시표선면50130320가금류오리1502021-12-21
20제주특별자치도서귀포시강정동50130116가금류육계115002021-12-21
21제주특별자치도서귀포시남원읍50130253가금류육계4176202021-12-21
22제주특별자치도서귀포시대정읍50130250가금류육계1168002021-12-21
23제주특별자치도서귀포시서홍동50130106가금류육계110002021-12-21
24제주특별자치도서귀포시성산읍50130259가금류육계61497002021-12-21
25제주특별자치도서귀포시표선면50130320가금류육계2579002021-12-21