Overview

Dataset statistics

Number of variables8
Number of observations135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory68.0 B

Variable types

Categorical3
Text2
Numeric3

Dataset

Description경기도 광주시 관내 위치한 우제류 축산 농가 현황에 대한 데이터로 농장명, 축종, 사육두수, 소재지지번주소, 소재지 도로명주소 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15034832/fileData.do

Alerts

시군명 has constant value ""Constant
축종 has constant value ""Constant
데이터기준일 has constant value ""Constant
사육두수 has 4 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-12 05:50:29.305610
Analysis finished2023-12-12 05:50:30.600315
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
광주시
135 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 135
100.0%

Length

2023-12-12T14:50:30.667765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:50:30.763556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 135
100.0%
Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T14:50:31.013173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3481481
Min length3

Characters and Unicode

Total characters587
Distinct characters138
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)95.6%

Sample

1st row성필농장
2nd row장철목장
3rd row천현농장
4th row현응목장
5th row학수목장
ValueCountFrequency (%)
농장 7
 
4.7%
목장 7
 
4.7%
효성목장 2
 
1.3%
우리목장 2
 
1.3%
동진목장 2
 
1.3%
영근2목장 1
 
0.7%
만일 1
 
0.7%
운정농장 1
 
0.7%
전흥복농장 1
 
0.7%
진우목장 1
 
0.7%
Other values (125) 125
83.3%
2023-12-12T14:50:31.436155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
22.0%
84
 
14.3%
46
 
7.8%
15
 
2.6%
15
 
2.6%
11
 
1.9%
10
 
1.7%
9
 
1.5%
9
 
1.5%
7
 
1.2%
Other values (128) 252
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
96.6%
Space Separator 15
 
2.6%
Decimal Number 4
 
0.7%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
129
22.8%
84
 
14.8%
46
 
8.1%
15
 
2.6%
11
 
1.9%
10
 
1.8%
9
 
1.6%
9
 
1.6%
7
 
1.2%
7
 
1.2%
Other values (125) 240
42.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
96.6%
Common 19
 
3.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
129
22.8%
84
 
14.8%
46
 
8.1%
15
 
2.6%
11
 
1.9%
10
 
1.8%
9
 
1.6%
9
 
1.6%
7
 
1.2%
7
 
1.2%
Other values (125) 240
42.3%
Common
ValueCountFrequency (%)
15
78.9%
2 4
 
21.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
96.6%
ASCII 20
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
129
22.8%
84
 
14.8%
46
 
8.1%
15
 
2.6%
11
 
1.9%
10
 
1.8%
9
 
1.6%
9
 
1.6%
7
 
1.2%
7
 
1.2%
Other values (125) 240
42.3%
ASCII
ValueCountFrequency (%)
15
75.0%
2 4
 
20.0%
e 1
 
5.0%

축종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
135
100.0%

Length

2023-12-12T14:50:31.624238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:50:31.760540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
135
100.0%

사육두수
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.881481
Minimum0
Maximum155
Zeros4
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T14:50:31.907899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.7
Q119.5
median37
Q360.5
95-th percentile118.6
Maximum155
Range155
Interquartile range (IQR)41

Descriptive statistics

Standard deviation35.712378
Coefficient of variation (CV)0.79570407
Kurtosis0.88356056
Mean44.881481
Median Absolute Deviation (MAD)20
Skewness1.1245899
Sum6059
Variance1275.3739
MonotonicityNot monotonic
2023-12-12T14:50:32.084607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 8
 
5.9%
4 5
 
3.7%
46 4
 
3.0%
32 4
 
3.0%
0 4
 
3.0%
13 3
 
2.2%
54 3
 
2.2%
127 3
 
2.2%
27 3
 
2.2%
16 3
 
2.2%
Other values (71) 95
70.4%
ValueCountFrequency (%)
0 4
3.0%
1 1
 
0.7%
2 1
 
0.7%
3 1
 
0.7%
4 5
3.7%
5 1
 
0.7%
6 2
 
1.5%
7 1
 
0.7%
8 1
 
0.7%
9 1
 
0.7%
ValueCountFrequency (%)
155 1
 
0.7%
152 1
 
0.7%
149 1
 
0.7%
134 1
 
0.7%
127 3
2.2%
115 1
 
0.7%
113 1
 
0.7%
112 2
1.5%
109 1
 
0.7%
106 1
 
0.7%
Distinct133
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T14:50:32.517523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length22.207407
Min length16

Characters and Unicode

Total characters2998
Distinct characters75
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

Unique131 ?
Unique (%)97.0%

Sample

1st row경기도 광주시 오포읍 문형리 35-10
2nd row경기도 광주시 초월읍 무갑리 308
3rd row경기도 광주시 초월읍 무갑리 450
4th row경기도 광주시 초월읍 무갑리 582
5th row경기도 광주시 초월읍 산이리 115-5
ValueCountFrequency (%)
경기도 135
19.5%
광주시 135
19.5%
곤지암읍 62
 
9.0%
도척면 44
 
6.4%
초월읍 20
 
2.9%
연곡리 18
 
2.6%
유정리 14
 
2.0%
삼합리 10
 
1.4%
이선리 9
 
1.3%
오향리 9
 
1.3%
Other values (168) 235
34.0%
2023-12-12T14:50:33.136663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
724
24.1%
186
 
6.2%
135
 
4.5%
135
 
4.5%
135
 
4.5%
135
 
4.5%
135
 
4.5%
134
 
4.5%
1 90
 
3.0%
85
 
2.8%
Other values (65) 1104
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1728
57.6%
Space Separator 724
24.1%
Decimal Number 469
 
15.6%
Dash Punctuation 75
 
2.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
 
10.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
134
 
7.8%
85
 
4.9%
83
 
4.8%
62
 
3.6%
Other values (52) 503
29.1%
Decimal Number
ValueCountFrequency (%)
1 90
19.2%
3 72
15.4%
2 68
14.5%
4 44
9.4%
5 44
9.4%
8 40
8.5%
6 36
 
7.7%
7 27
 
5.8%
9 24
 
5.1%
0 24
 
5.1%
Space Separator
ValueCountFrequency (%)
724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1728
57.6%
Common 1270
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
 
10.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
134
 
7.8%
85
 
4.9%
83
 
4.8%
62
 
3.6%
Other values (52) 503
29.1%
Common
ValueCountFrequency (%)
724
57.0%
1 90
 
7.1%
- 75
 
5.9%
3 72
 
5.7%
2 68
 
5.4%
4 44
 
3.5%
5 44
 
3.5%
8 40
 
3.1%
6 36
 
2.8%
7 27
 
2.1%
Other values (3) 50
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1728
57.6%
ASCII 1270
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
724
57.0%
1 90
 
7.1%
- 75
 
5.9%
3 72
 
5.7%
2 68
 
5.4%
4 44
 
3.5%
5 44
 
3.5%
8 40
 
3.1%
6 36
 
2.8%
7 27
 
2.1%
Other values (3) 50
 
3.9%
Hangul
ValueCountFrequency (%)
186
 
10.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
135
 
7.8%
134
 
7.8%
85
 
4.9%
83
 
4.8%
62
 
3.6%
Other values (52) 503
29.1%

위도
Real number (ℝ)

Distinct133
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.353006
Minimum37.269467
Maximum37.63411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T14:50:33.322797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.269467
5-th percentile37.279502
Q137.319407
median37.36252
Q337.372912
95-th percentile37.444267
Maximum37.63411
Range0.364643
Interquartile range (IQR)0.05350563

Descriptive statistics

Standard deviation0.051920453
Coefficient of variation (CV)0.0013899939
Kurtosis5.7377943
Mean37.353006
Median Absolute Deviation (MAD)0.01888413
Skewness1.3359498
Sum5042.6559
Variance0.0026957334
MonotonicityNot monotonic
2023-12-12T14:50:33.532036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.41196061 2
 
1.5%
37.37533383 2
 
1.5%
37.35448885 1
 
0.7%
37.29723496 1
 
0.7%
37.29998672 1
 
0.7%
37.29225449 1
 
0.7%
37.29106477 1
 
0.7%
37.28877113 1
 
0.7%
37.28944178 1
 
0.7%
37.28749794 1
 
0.7%
Other values (123) 123
91.1%
ValueCountFrequency (%)
37.269467 1
0.7%
37.27203 1
0.7%
37.27595699 1
0.7%
37.27725672 1
0.7%
37.27876948 1
0.7%
37.27906644 1
0.7%
37.27918061 1
0.7%
37.27964031 1
0.7%
37.2796699 1
0.7%
37.28002062 1
0.7%
ValueCountFrequency (%)
37.63411 1
0.7%
37.48372787 1
0.7%
37.475694 1
0.7%
37.47209223 1
0.7%
37.47120951 1
0.7%
37.45370287 1
0.7%
37.45127133 1
0.7%
37.44126475 1
0.7%
37.42385322 1
0.7%
37.42173944 1
0.7%

경도
Real number (ℝ)

Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3542
Minimum127.20101
Maximum127.44089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T14:50:33.692631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.20101
5-th percentile127.29187
Q1127.31638
median127.33885
Q3127.38998
95-th percentile127.4354
Maximum127.44089
Range0.2398826
Interquartile range (IQR)0.07360085

Descriptive statistics

Standard deviation0.050408658
Coefficient of variation (CV)0.00039581465
Kurtosis-0.38434932
Mean127.3542
Median Absolute Deviation (MAD)0.0409417
Skewness-0.12531559
Sum17192.817
Variance0.0025410328
MonotonicityNot monotonic
2023-12-12T14:50:33.874821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3008494 2
 
1.5%
127.387 2
 
1.5%
127.4404756 2
 
1.5%
127.2010099 1
 
0.7%
127.3356133 1
 
0.7%
127.3330061 1
 
0.7%
127.3217505 1
 
0.7%
127.3217047 1
 
0.7%
127.3224358 1
 
0.7%
127.3231065 1
 
0.7%
Other values (122) 122
90.4%
ValueCountFrequency (%)
127.2010099 1
0.7%
127.2022179 1
0.7%
127.2851 1
0.7%
127.2869471 1
0.7%
127.2881165 1
0.7%
127.2881647 1
0.7%
127.2909816 1
0.7%
127.2922458 1
0.7%
127.2928756 1
0.7%
127.2940377 1
0.7%
ValueCountFrequency (%)
127.4408925 1
0.7%
127.4404756 2
1.5%
127.4404527 1
0.7%
127.4400669 1
0.7%
127.4398209 1
0.7%
127.4370245 1
0.7%
127.4347057 1
0.7%
127.43355 1
0.7%
127.4323108 1
0.7%
127.4305036 1
0.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-11-16
135 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-16
2nd row2023-11-16
3rd row2023-11-16
4th row2023-11-16
5th row2023-11-16

Common Values

ValueCountFrequency (%)
2023-11-16 135
100.0%

Length

2023-12-12T14:50:34.012983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:50:34.123237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-16 135
100.0%

Interactions

2023-12-12T14:50:30.133770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:29.517296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:29.848066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:30.225170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:29.621005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:29.941155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:30.316840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:29.751188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:50:30.027681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:50:34.179309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도
사육두수1.0000.1280.000
위도0.1281.0000.693
경도0.0000.6931.000
2023-12-12T14:50:34.260520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도
사육두수1.0000.1710.272
위도0.1711.0000.198
경도0.2720.1981.000

Missing values

2023-12-12T14:50:30.431746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:50:30.556944image/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

시군명농장명축종사육두수소재지지번주소위도경도데이터기준일
0광주시성필농장23경기도 광주시 오포읍 문형리 35-1037.354489127.201012023-11-16
1광주시장철목장51경기도 광주시 초월읍 무갑리 30837.42091127.3229222023-11-16
2광주시천현농장53경기도 광주시 초월읍 무갑리 45037.421739127.3166442023-11-16
3광주시현응목장66경기도 광주시 초월읍 무갑리 58237.423853127.3113262023-11-16
4광주시학수목장36경기도 광주시 초월읍 산이리 115-537.366635127.3114872023-11-16
5광주시오쾌목장78경기도 광주시 초월읍 쌍동리 236-637.372137127.2940382023-11-16
6광주시신우목장152경기도 광주시 초월읍 쌍동리 283-337.379276127.2928762023-11-16
7광주시윤상호목장92경기도 광주시 초월읍 쌍동리 287-937.377803127.2922462023-11-16
8광주시건일농장10경기도 광주시 초월읍 쌍동리 290-137.37776127.2909822023-11-16
9광주시지수목장1경기도 광주시 초월읍 쌍동리 7537.366366127.2979072023-11-16
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