Overview

Dataset statistics

Number of variables5
Number of observations157
Missing cells29
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description충청북도 진천군 관내 축산물판매업체 목록에 대한 자료로 업종명, 업소명, 소재지주소(도로명,지번)를 제공합니다.
Author충청북도 진천군
URLhttps://www.data.go.kr/data/15127610/fileData.do

Alerts

소재지주소(지번) has 23 (14.6%) missing valuesMissing
소재지주소(도로명) has 6 (3.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:37:20.928226
Analysis finished2024-04-21 02:37:22.856218
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T11:37:22.935276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.8
Q140
median79
Q3118
95-th percentile149.2
Maximum157
Range156
Interquartile range (IQR)78

Descriptive statistics

Standard deviation45.466105
Coefficient of variation (CV)0.57552031
Kurtosis-1.2
Mean79
Median Absolute Deviation (MAD)39
Skewness0
Sum12403
Variance2067.1667
MonotonicityStrictly increasing
2024-04-21T11:37:23.082814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
109 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
110 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%

업종명
Categorical

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식육판매업
94 
축산물유통전문판매업
32 
우유류판매업
19 
식용란수집판매업
 
9
식육부산물전문판매업
 
3

Length

Max length10
Median length5
Mean length6.4076433
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우유류판매업
2nd row식육판매업
3rd row식육판매업
4th row식육판매업
5th row식육부산물전문판매업

Common Values

ValueCountFrequency (%)
식육판매업 94
59.9%
축산물유통전문판매업 32
 
20.4%
우유류판매업 19
 
12.1%
식용란수집판매업 9
 
5.7%
식육부산물전문판매업 3
 
1.9%

Length

2024-04-21T11:37:23.233134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:37:23.344210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 94
59.9%
축산물유통전문판매업 32
 
20.4%
우유류판매업 19
 
12.1%
식용란수집판매업 9
 
5.7%
식육부산물전문판매업 3
 
1.9%
Distinct148
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T11:37:23.581818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length7.611465
Min length2

Characters and Unicode

Total characters1195
Distinct characters233
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)88.5%

Sample

1st row남양우유 신진천 가정대리점
2nd row진천군농어민후계자직판장
3rd row진천농협하나로마트 정육코너
4th row엘지정육점
5th row진천축산농협냉동사업소
ValueCountFrequency (%)
주식회사 8
 
3.7%
진천대리점 5
 
2.3%
농업회사법인 4
 
1.8%
델리퀸 3
 
1.4%
이월정육점 2
 
0.9%
진천농협하나로마트 2
 
0.9%
마트 2
 
0.9%
진천점 2
 
0.9%
대리점 2
 
0.9%
진천 2
 
0.9%
Other values (174) 186
85.3%
2024-04-21T11:37:24.018416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
5.1%
44
 
3.7%
36
 
3.0%
32
 
2.7%
31
 
2.6%
30
 
2.5%
) 29
 
2.4%
( 28
 
2.3%
27
 
2.3%
25
 
2.1%
Other values (223) 852
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1043
87.3%
Space Separator 61
 
5.1%
Close Punctuation 29
 
2.4%
Open Punctuation 28
 
2.3%
Uppercase Letter 26
 
2.2%
Other Punctuation 5
 
0.4%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
4.2%
36
 
3.5%
32
 
3.1%
31
 
3.0%
30
 
2.9%
27
 
2.6%
25
 
2.4%
25
 
2.4%
25
 
2.4%
25
 
2.4%
Other values (202) 743
71.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
15.4%
A 3
11.5%
B 3
11.5%
F 3
11.5%
G 2
7.7%
M 2
7.7%
O 2
7.7%
P 1
 
3.8%
C 1
 
3.8%
L 1
 
3.8%
Other values (4) 4
15.4%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
& 2
40.0%
Decimal Number
ValueCountFrequency (%)
8 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1043
87.3%
Common 126
 
10.5%
Latin 26
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
4.2%
36
 
3.5%
32
 
3.1%
31
 
3.0%
30
 
2.9%
27
 
2.6%
25
 
2.4%
25
 
2.4%
25
 
2.4%
25
 
2.4%
Other values (202) 743
71.2%
Latin
ValueCountFrequency (%)
S 4
15.4%
A 3
11.5%
B 3
11.5%
F 3
11.5%
G 2
7.7%
M 2
7.7%
O 2
7.7%
P 1
 
3.8%
C 1
 
3.8%
L 1
 
3.8%
Other values (4) 4
15.4%
Common
ValueCountFrequency (%)
61
48.4%
) 29
23.0%
( 28
22.2%
· 3
 
2.4%
8 2
 
1.6%
& 2
 
1.6%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1043
87.3%
ASCII 149
 
12.5%
None 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
40.9%
) 29
19.5%
( 28
18.8%
S 4
 
2.7%
A 3
 
2.0%
B 3
 
2.0%
F 3
 
2.0%
G 2
 
1.3%
8 2
 
1.3%
& 2
 
1.3%
Other values (10) 12
 
8.1%
Hangul
ValueCountFrequency (%)
44
 
4.2%
36
 
3.5%
32
 
3.1%
31
 
3.0%
30
 
2.9%
27
 
2.6%
25
 
2.4%
25
 
2.4%
25
 
2.4%
25
 
2.4%
Other values (202) 743
71.2%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct120
Distinct (%)89.6%
Missing23
Missing (%)14.6%
Memory size1.4 KiB
2024-04-21T11:37:24.392385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31.5
Mean length24.037313
Min length17

Characters and Unicode

Total characters3221
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)80.6%

Sample

1st row충청북도 진천군 진천읍 장관리
2nd row충청북도 진천군 진천읍 읍내리 119-1
3rd row충청북도 진천군 진천읍 읍내리 105-1
4th row충청북도 진천군 문백면 문덕리 78-1
5th row충청북도 진천군 이월면 송림리
ValueCountFrequency (%)
충청북도 134
19.4%
진천군 134
19.4%
진천읍 42
 
6.1%
광혜원면 32
 
4.6%
덕산읍 29
 
4.2%
광혜원리 26
 
3.8%
읍내리 25
 
3.6%
이월면 16
 
2.3%
초평면 9
 
1.3%
용몽리 6
 
0.9%
Other values (168) 239
34.5%
2024-04-21T11:37:24.897569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
691
21.5%
179
 
5.6%
176
 
5.5%
137
 
4.3%
135
 
4.2%
135
 
4.2%
135
 
4.2%
134
 
4.2%
134
 
4.2%
96
 
3.0%
Other values (128) 1269
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1943
60.3%
Space Separator 691
 
21.5%
Decimal Number 485
 
15.1%
Dash Punctuation 86
 
2.7%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
179
 
9.2%
176
 
9.1%
137
 
7.1%
135
 
6.9%
135
 
6.9%
135
 
6.9%
134
 
6.9%
134
 
6.9%
96
 
4.9%
70
 
3.6%
Other values (112) 612
31.5%
Decimal Number
ValueCountFrequency (%)
1 85
17.5%
3 63
13.0%
2 61
12.6%
4 54
11.1%
7 52
10.7%
5 39
8.0%
8 37
7.6%
6 34
 
7.0%
9 31
 
6.4%
0 29
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1943
60.3%
Common 1276
39.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
179
 
9.2%
176
 
9.1%
137
 
7.1%
135
 
6.9%
135
 
6.9%
135
 
6.9%
134
 
6.9%
134
 
6.9%
96
 
4.9%
70
 
3.6%
Other values (112) 612
31.5%
Common
ValueCountFrequency (%)
691
54.2%
- 86
 
6.7%
1 85
 
6.7%
3 63
 
4.9%
2 61
 
4.8%
4 54
 
4.2%
7 52
 
4.1%
5 39
 
3.1%
8 37
 
2.9%
6 34
 
2.7%
Other values (4) 74
 
5.8%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1943
60.3%
ASCII 1278
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
691
54.1%
- 86
 
6.7%
1 85
 
6.7%
3 63
 
4.9%
2 61
 
4.8%
4 54
 
4.2%
7 52
 
4.1%
5 39
 
3.1%
8 37
 
2.9%
6 34
 
2.7%
Other values (6) 76
 
5.9%
Hangul
ValueCountFrequency (%)
179
 
9.2%
176
 
9.1%
137
 
7.1%
135
 
6.9%
135
 
6.9%
135
 
6.9%
134
 
6.9%
134
 
6.9%
96
 
4.9%
70
 
3.6%
Other values (112) 612
31.5%
Distinct136
Distinct (%)90.1%
Missing6
Missing (%)3.8%
Memory size1.4 KiB
2024-04-21T11:37:25.307846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length23.993377
Min length18

Characters and Unicode

Total characters3623
Distinct characters166
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)82.1%

Sample

1st row충청북도 진천군 진천읍 장관2길 159 (진천남해오네뜨 아파트 상가 102호)
2nd row충청북도 진천군 진천읍 남산10길 32-3
3rd row충청북도 진천군 진천읍 중앙동5길 12
4th row충청북도 진천군 광혜원면 화랑5길 14-1
5th row충청북도 진천군 문백면 문덕길 171
ValueCountFrequency (%)
충청북도 151
18.4%
진천군 151
18.4%
진천읍 47
 
5.7%
광혜원면 35
 
4.3%
덕산읍 34
 
4.1%
이월면 20
 
2.4%
초평면 10
 
1.2%
진광로 8
 
1.0%
원덕로 7
 
0.9%
장기길 6
 
0.7%
Other values (250) 353
42.9%
2024-04-21T11:37:25.837878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
18.5%
218
 
6.0%
206
 
5.7%
152
 
4.2%
152
 
4.2%
152
 
4.2%
152
 
4.2%
151
 
4.2%
1 132
 
3.6%
87
 
2.4%
Other values (156) 1549
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2297
63.4%
Space Separator 672
 
18.5%
Decimal Number 525
 
14.5%
Dash Punctuation 39
 
1.1%
Other Punctuation 30
 
0.8%
Close Punctuation 27
 
0.7%
Open Punctuation 27
 
0.7%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
218
 
9.5%
206
 
9.0%
152
 
6.6%
152
 
6.6%
152
 
6.6%
152
 
6.6%
151
 
6.6%
87
 
3.8%
81
 
3.5%
71
 
3.1%
Other values (137) 875
38.1%
Decimal Number
ValueCountFrequency (%)
1 132
25.1%
2 80
15.2%
3 54
10.3%
7 47
 
9.0%
4 43
 
8.2%
5 41
 
7.8%
0 38
 
7.2%
9 36
 
6.9%
6 28
 
5.3%
8 26
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
B 1
 
16.7%
E 1
 
16.7%
J 1
 
16.7%
Space Separator
ValueCountFrequency (%)
672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2297
63.4%
Common 1320
36.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
218
 
9.5%
206
 
9.0%
152
 
6.6%
152
 
6.6%
152
 
6.6%
152
 
6.6%
151
 
6.6%
87
 
3.8%
81
 
3.5%
71
 
3.1%
Other values (137) 875
38.1%
Common
ValueCountFrequency (%)
672
50.9%
1 132
 
10.0%
2 80
 
6.1%
3 54
 
4.1%
7 47
 
3.6%
4 43
 
3.3%
5 41
 
3.1%
- 39
 
3.0%
0 38
 
2.9%
9 36
 
2.7%
Other values (5) 138
 
10.5%
Latin
ValueCountFrequency (%)
C 3
50.0%
B 1
 
16.7%
E 1
 
16.7%
J 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2297
63.4%
ASCII 1326
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
50.7%
1 132
 
10.0%
2 80
 
6.0%
3 54
 
4.1%
7 47
 
3.5%
4 43
 
3.2%
5 41
 
3.1%
- 39
 
2.9%
0 38
 
2.9%
9 36
 
2.7%
Other values (9) 144
 
10.9%
Hangul
ValueCountFrequency (%)
218
 
9.5%
206
 
9.0%
152
 
6.6%
152
 
6.6%
152
 
6.6%
152
 
6.6%
151
 
6.6%
87
 
3.8%
81
 
3.5%
71
 
3.1%
Other values (137) 875
38.1%

Interactions

2024-04-21T11:37:22.382706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:37:25.925470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.377
업종명0.3771.000
2024-04-21T11:37:25.997235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.162
업종명0.1621.000

Missing values

2024-04-21T11:37:22.588352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:37:22.698954image/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.
2024-04-21T11:37:22.807876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종명사업장명칭소재지주소(지번)소재지주소(도로명)
01우유류판매업남양우유 신진천 가정대리점충청북도 진천군 진천읍 장관리충청북도 진천군 진천읍 장관2길 159 (진천남해오네뜨 아파트 상가 102호)
12식육판매업진천군농어민후계자직판장충청북도 진천군 진천읍 읍내리 119-1충청북도 진천군 진천읍 남산10길 32-3
23식육판매업진천농협하나로마트 정육코너충청북도 진천군 진천읍 읍내리 105-1충청북도 진천군 진천읍 중앙동5길 12
34식육판매업엘지정육점<NA>충청북도 진천군 광혜원면 화랑5길 14-1
45식육부산물전문판매업진천축산농협냉동사업소충청북도 진천군 문백면 문덕리 78-1충청북도 진천군 문백면 문덕길 171
56식육판매업이월농협하나로마트충청북도 진천군 이월면 송림리충청북도 진천군 이월면 송림6길 45
67우유류판매업서울우유 진천대리점충청북도 진천군 진천읍 교성리 247-8충청북도 진천군 진천읍 남산길 16
78우유류판매업매일우유진천대리점충청북도 진천군 진천읍 읍내리 471-162충청북도 진천군 진천읍 중앙동로 145
89우유류판매업서울우유덕산대리점충청북도 진천군 덕산읍 용몽리 360-18충청북도 진천군 덕산읍 용몽로 52
910식육판매업광혜원농협하나로마트정육부충청북도 진천군 광혜원면 광혜원리 442-4 광혜원농협충청북도 진천군 광혜원면 장기길 91, 광혜원농협
연번업종명사업장명칭소재지주소(지번)소재지주소(도로명)
147148식육판매업농업회사법인 (주)주원산오리충청북도 진천군 광혜원면 죽현리 195-10 (주)주원산오리충청북도 진천군 광혜원면 진광로 941-5, (주)주원산오리
148149식육판매업(주)가원충청북도 진천군 초평면 진암리 392-5충청북도 진천군 초평면 구정로 139-9
149150축산물유통전문판매업주식회사 일비충청북도 진천군 이월면 사곡리 527-1충청북도 진천군 이월면 반지길 64-29
150151식육판매업주식회사 케이비푸드충청북도 진천군 백곡면 구수리 472-8충청북도 진천군 백곡면 백곡로 577-24
151152식육판매업조우정육점충청북도 진천군 덕산읍 합목리 322-18 해오름타운충청북도 진천군 덕산읍 귀농3길 136 (해오름타운)
152153식육판매업덕산농협 하나로마트 두촌지점충청북도 진천군 덕산읍 두촌리 2576충청북도 진천군 덕산읍 공원로 10
153154식용란수집판매업에그나라충청북도 진천군 진천읍 송두리 489-1충청북도 진천군 진천읍 성중로 151
154155식육판매업이삭축산물충청북도 진천군 진천읍 읍내리 371충청북도 진천군 진천읍 중앙서로 51
155156축산물유통전문판매업처인F&B충청북도 진천군 광혜원면 광혜원리 585충청북도 진천군 광혜원면 구암길 16, 2층
156157식육판매업씨즐충청북도 진천군 덕산읍 구산리 441-1충청북도 진천군 덕산읍 교연로 422, 102호