Overview

Dataset statistics

Number of variables10
Number of observations211
Missing cells62
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory83.6 B

Variable types

Categorical3
Text4
Numeric3

Dataset

Description연수구 내 축산물 판매업 현황의 사업장에 대한 데이터로 명칭, 소재지, 전화번호 등의 항목 제공- 판매업 구분, 사업장 명칭, 소재지 주소, 소재지 전화번호로 항목 구분
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065968&srcSe=7661IVAWM27C61E190

Alerts

영업상태구분 has constant value ""Constant
우편번호(지번) is highly overall correlated with 우편번호(도로명)High correlation
우편번호(도로명) is highly overall correlated with 우편번호(지번)High correlation
소재지주소(도로명) has 5 (2.4%) missing valuesMissing
우편번호(도로명) has 55 (26.1%) missing valuesMissing
소재지면적(제곱미터) has 14 (6.6%) zerosZeros

Reproduction

Analysis started2024-03-18 05:45:57.512284
Analysis finished2024-03-18 05:46:00.919970
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매업구분명
Categorical

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식육판매업
128 
축산물유통전문판매업
41 
우유류판매업
38 
식용란수집판매업
 
2
식육부산물전문판매업
 
2

Length

Max length10
Median length5
Mean length6.2274882
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 128
60.7%
축산물유통전문판매업 41
 
19.4%
우유류판매업 38
 
18.0%
식용란수집판매업 2
 
0.9%
식육부산물전문판매업 2
 
0.9%

Length

2024-03-18T14:46:00.985711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:46:01.087842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 128
60.7%
축산물유통전문판매업 41
 
19.4%
우유류판매업 38
 
18.0%
식용란수집판매업 2
 
0.9%
식육부산물전문판매업 2
 
0.9%

사업장명칭
Text

Distinct202
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-18T14:46:01.314292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.8056872
Min length2

Characters and Unicode

Total characters1647
Distinct characters295
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)91.5%

Sample

1st row안심축산물전문점 옥련점
2nd row연세우유 인천송도보급소
3rd row럭키정육점
4th row한국정육유통
5th row유천정육점
ValueCountFrequency (%)
주식회사 14
 
4.5%
서울우유 6
 
1.9%
송도점 6
 
1.9%
고객센터 3
 
1.0%
에치와이 3
 
1.0%
연수점 3
 
1.0%
남양유업 3
 
1.0%
매일유업 3
 
1.0%
매일우유 3
 
1.0%
정육점 3
 
1.0%
Other values (243) 267
85.0%
2024-03-18T14:46:01.702314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
6.3%
점 63
 
3.8%
주 57
 
3.5%
우 47
 
2.9%
) 43
 
2.6%
( 43
 
2.6%
유 39
 
2.4%
정 37
 
2.2%
육 32
 
1.9%
한 28
 
1.7%
Other values (285) 1154
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1370
83.2%
Space Separator 104
 
6.3%
Close Punctuation 43
 
2.6%
Open Punctuation 43
 
2.6%
Uppercase Letter 35
 
2.1%
Lowercase Letter 34
 
2.1%
Decimal Number 11
 
0.7%
Other Punctuation 6
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 63
 
4.6%
주 57
 
4.2%
우 47
 
3.4%
유 39
 
2.8%
정 37
 
2.7%
육 32
 
2.3%
한 28
 
2.0%
트 28
 
2.0%
리 25
 
1.8%
도 25
 
1.8%
Other values (242) 989
72.2%
Uppercase Letter
ValueCountFrequency (%)
S 5
14.3%
F 4
11.4%
M 3
8.6%
A 3
8.6%
H 3
8.6%
B 2
 
5.7%
D 2
 
5.7%
L 2
 
5.7%
R 2
 
5.7%
P 2
 
5.7%
Other values (7) 7
20.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
14.7%
a 5
14.7%
i 5
14.7%
r 3
8.8%
e 2
 
5.9%
l 2
 
5.9%
g 2
 
5.9%
m 2
 
5.9%
t 2
 
5.9%
o 2
 
5.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
4 3
27.3%
3 3
27.3%
1 2
18.2%
0 2
18.2%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1370
83.2%
Common 208
 
12.6%
Latin 69
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 63
 
4.6%
주 57
 
4.2%
우 47
 
3.4%
유 39
 
2.8%
정 37
 
2.7%
육 32
 
2.3%
한 28
 
2.0%
트 28
 
2.0%
리 25
 
1.8%
도 25
 
1.8%
Other values (242) 989
72.2%
Latin
ValueCountFrequency (%)
n 5
 
7.2%
a 5
 
7.2%
S 5
 
7.2%
i 5
 
7.2%
F 4
 
5.8%
M 3
 
4.3%
A 3
 
4.3%
H 3
 
4.3%
r 3
 
4.3%
B 2
 
2.9%
Other values (21) 31
44.9%
Common
ValueCountFrequency (%)
104
50.0%
) 43
20.7%
( 43
20.7%
4 3
 
1.4%
& 3
 
1.4%
3 3
 
1.4%
. 2
 
1.0%
1 2
 
1.0%
0 2
 
1.0%
5 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1370
83.2%
ASCII 276
 
16.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
37.7%
) 43
15.6%
( 43
15.6%
n 5
 
1.8%
a 5
 
1.8%
S 5
 
1.8%
i 5
 
1.8%
F 4
 
1.4%
M 3
 
1.1%
4 3
 
1.1%
Other values (32) 56
20.3%
Hangul
ValueCountFrequency (%)
점 63
 
4.6%
주 57
 
4.2%
우 47
 
3.4%
유 39
 
2.8%
정 37
 
2.7%
육 32
 
2.3%
한 28
 
2.0%
트 28
 
2.0%
리 25
 
1.8%
도 25
 
1.8%
Other values (242) 989
72.2%
None
ValueCountFrequency (%)
· 1
100.0%

권리주체명
Text

Distinct197
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-18T14:46:01.920227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length5.014218
Min length2

Characters and Unicode

Total characters1058
Distinct characters241
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

Unique183 ?
Unique (%)86.7%

Sample

1st row정경미
2nd row정연석
3rd row염향미
4th row김종철
5th row조남석
ValueCountFrequency (%)
주식회사 14
 
5.9%
주)육대장 2
 
0.8%
주)세계종합유통 2
 
0.8%
동횡성농업협동조합 2
 
0.8%
주)루다컴퍼니 2
 
0.8%
주 2
 
0.8%
s.m 2
 
0.8%
dining 2
 
0.8%
박완옥 2
 
0.8%
홈플러스 2
 
0.8%
Other values (198) 205
86.5%
2024-03-18T14:46:02.250122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 65
 
6.1%
( 44
 
4.2%
) 44
 
4.2%
이 40
 
3.8%
김 33
 
3.1%
26
 
2.5%
정 24
 
2.3%
식 20
 
1.9%
박 19
 
1.8%
회 16
 
1.5%
Other values (231) 727
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 875
82.7%
Uppercase Letter 57
 
5.4%
Open Punctuation 44
 
4.2%
Close Punctuation 44
 
4.2%
Space Separator 26
 
2.5%
Lowercase Letter 10
 
0.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 65
 
7.4%
이 40
 
4.6%
김 33
 
3.8%
정 24
 
2.7%
식 20
 
2.3%
박 19
 
2.2%
회 16
 
1.8%
사 16
 
1.8%
스 15
 
1.7%
영 15
 
1.7%
Other values (205) 612
69.9%
Uppercase Letter
ValueCountFrequency (%)
O 7
12.3%
A 7
12.3%
I 5
8.8%
S 5
8.8%
D 5
8.8%
N 4
 
7.0%
M 4
 
7.0%
T 3
 
5.3%
R 3
 
5.3%
C 2
 
3.5%
Other values (9) 12
21.1%
Lowercase Letter
ValueCountFrequency (%)
n 4
40.0%
i 4
40.0%
g 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 875
82.7%
Common 116
 
11.0%
Latin 67
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 65
 
7.4%
이 40
 
4.6%
김 33
 
3.8%
정 24
 
2.7%
식 20
 
2.3%
박 19
 
2.2%
회 16
 
1.8%
사 16
 
1.8%
스 15
 
1.7%
영 15
 
1.7%
Other values (205) 612
69.9%
Latin
ValueCountFrequency (%)
O 7
 
10.4%
A 7
 
10.4%
I 5
 
7.5%
S 5
 
7.5%
D 5
 
7.5%
N 4
 
6.0%
n 4
 
6.0%
i 4
 
6.0%
M 4
 
6.0%
T 3
 
4.5%
Other values (12) 19
28.4%
Common
ValueCountFrequency (%)
( 44
37.9%
) 44
37.9%
26
22.4%
. 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 875
82.7%
ASCII 183
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 65
 
7.4%
이 40
 
4.6%
김 33
 
3.8%
정 24
 
2.7%
식 20
 
2.3%
박 19
 
2.2%
회 16
 
1.8%
사 16
 
1.8%
스 15
 
1.7%
영 15
 
1.7%
Other values (205) 612
69.9%
ASCII
ValueCountFrequency (%)
( 44
24.0%
) 44
24.0%
26
14.2%
O 7
 
3.8%
A 7
 
3.8%
I 5
 
2.7%
S 5
 
2.7%
D 5
 
2.7%
N 4
 
2.2%
n 4
 
2.2%
Other values (16) 32
17.5%

영업상태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
정상
211 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 211
100.0%

Length

2024-03-18T14:46:02.366015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:46:02.454153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 211
100.0%

소재지주소(지번)
Text

Distinct196
Distinct (%)93.3%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-03-18T14:46:02.672040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39.5
Mean length25.62381
Min length16

Characters and Unicode

Total characters5381
Distinct characters184
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)88.6%

Sample

1st row인천광역시 연수구 옥련동 213-2
2nd row인천광역시 연수구 청학동 3-0105 3통2반
3rd row인천광역시 연수구 연수동 582-2
4th row인천광역시 연수구 동춘동 928 분산상가 104호
5th row인천광역시 연수구 연수동 534 유천아파트 상가 지하 129호
ValueCountFrequency (%)
인천광역시 210
19.4%
연수구 210
19.4%
송도동 66
 
6.1%
연수동 42
 
3.9%
옥련동 38
 
3.5%
청학동 30
 
2.8%
동춘동 25
 
2.3%
101호 10
 
0.9%
선학동 9
 
0.8%
1층 9
 
0.8%
Other values (338) 433
40.0%
2024-03-18T14:46:03.066787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1018
18.9%
동 264
 
4.9%
수 254
 
4.7%
연 254
 
4.7%
1 250
 
4.6%
시 214
 
4.0%
인 213
 
4.0%
천 213
 
4.0%
구 210
 
3.9%
역 210
 
3.9%
Other values (174) 2281
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3047
56.6%
Decimal Number 1089
 
20.2%
Space Separator 1018
 
18.9%
Dash Punctuation 177
 
3.3%
Uppercase Letter 38
 
0.7%
Other Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 264
 
8.7%
수 254
 
8.3%
연 254
 
8.3%
시 214
 
7.0%
인 213
 
7.0%
천 213
 
7.0%
구 210
 
6.9%
역 210
 
6.9%
광 210
 
6.9%
도 105
 
3.4%
Other values (143) 900
29.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
28.9%
T 7
18.4%
A 5
13.2%
D 3
 
7.9%
C 3
 
7.9%
E 2
 
5.3%
R 2
 
5.3%
M 2
 
5.3%
U 1
 
2.6%
H 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 250
23.0%
2 163
15.0%
0 117
10.7%
3 107
9.8%
5 99
 
9.1%
4 93
 
8.5%
9 79
 
7.3%
6 66
 
6.1%
8 62
 
5.7%
7 53
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
e 1
25.0%
t 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
@ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1018
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3047
56.6%
Common 2292
42.6%
Latin 42
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 264
 
8.7%
수 254
 
8.3%
연 254
 
8.3%
시 214
 
7.0%
인 213
 
7.0%
천 213
 
7.0%
구 210
 
6.9%
역 210
 
6.9%
광 210
 
6.9%
도 105
 
3.4%
Other values (143) 900
29.5%
Common
ValueCountFrequency (%)
1018
44.4%
1 250
 
10.9%
- 177
 
7.7%
2 163
 
7.1%
0 117
 
5.1%
3 107
 
4.7%
5 99
 
4.3%
4 93
 
4.1%
9 79
 
3.4%
6 66
 
2.9%
Other values (6) 123
 
5.4%
Latin
ValueCountFrequency (%)
B 11
26.2%
T 7
16.7%
A 5
11.9%
D 3
 
7.1%
C 3
 
7.1%
E 2
 
4.8%
R 2
 
4.8%
M 2
 
4.8%
U 1
 
2.4%
s 1
 
2.4%
Other values (5) 5
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3047
56.6%
ASCII 2334
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1018
43.6%
1 250
 
10.7%
- 177
 
7.6%
2 163
 
7.0%
0 117
 
5.0%
3 107
 
4.6%
5 99
 
4.2%
4 93
 
4.0%
9 79
 
3.4%
6 66
 
2.8%
Other values (21) 165
 
7.1%
Hangul
ValueCountFrequency (%)
동 264
 
8.7%
수 254
 
8.3%
연 254
 
8.3%
시 214
 
7.0%
인 213
 
7.0%
천 213
 
7.0%
구 210
 
6.9%
역 210
 
6.9%
광 210
 
6.9%
도 105
 
3.4%
Other values (143) 900
29.5%

소재지주소(도로명)
Text

MISSING 

Distinct197
Distinct (%)95.6%
Missing5
Missing (%)2.4%
Memory size1.8 KiB
2024-03-18T14:46:03.301416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length35.199029
Min length21

Characters and Unicode

Total characters7251
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)92.2%

Sample

1st row인천광역시 연수구 독배로 56-1 (옥련동)
2nd row인천광역시 연수구 원인재로 216, 402동 지하1호 (연수동, 연수시영1차아파트상가)
3rd row인천광역시 연수구 원인재로 56, 104호 (동춘동, 현대아파트 분산상가)
4th row인천광역시 연수구 먼우금로 302 (연수동,유천아파트 상가 지하 129호)
5th row인천광역시 연수구 원인재로 14 (동춘동,무지개상가 120호)
ValueCountFrequency (%)
인천광역시 206
 
15.4%
연수구 206
 
15.4%
송도동 59
 
4.4%
연수동 35
 
2.6%
옥련동 32
 
2.4%
1층 28
 
2.1%
청학동 24
 
1.8%
동춘동 19
 
1.4%
101호 12
 
0.9%
컨벤시아대로 12
 
0.9%
Other values (435) 708
52.8%
2024-03-18T14:46:03.708860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1135
 
15.7%
1 339
 
4.7%
동 277
 
3.8%
연 251
 
3.5%
수 251
 
3.5%
시 228
 
3.1%
인 223
 
3.1%
천 214
 
3.0%
로 209
 
2.9%
( 208
 
2.9%
Other values (228) 3916
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4237
58.4%
Decimal Number 1180
 
16.3%
Space Separator 1135
 
15.7%
Open Punctuation 208
 
2.9%
Close Punctuation 208
 
2.9%
Other Punctuation 197
 
2.7%
Uppercase Letter 47
 
0.6%
Dash Punctuation 35
 
0.5%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 277
 
6.5%
연 251
 
5.9%
수 251
 
5.9%
시 228
 
5.4%
인 223
 
5.3%
천 214
 
5.1%
로 209
 
4.9%
역 206
 
4.9%
구 206
 
4.9%
광 206
 
4.9%
Other values (195) 1966
46.4%
Uppercase Letter
ValueCountFrequency (%)
B 13
27.7%
T 8
17.0%
A 5
 
10.6%
C 5
 
10.6%
D 4
 
8.5%
R 3
 
6.4%
E 2
 
4.3%
M 2
 
4.3%
H 1
 
2.1%
S 1
 
2.1%
Other values (3) 3
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 339
28.7%
2 184
15.6%
0 150
12.7%
3 118
 
10.0%
6 80
 
6.8%
5 77
 
6.5%
4 75
 
6.4%
8 57
 
4.8%
9 51
 
4.3%
7 49
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
s 1
25.0%
t 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 196
99.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4237
58.4%
Common 2963
40.9%
Latin 51
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 277
 
6.5%
연 251
 
5.9%
수 251
 
5.9%
시 228
 
5.4%
인 223
 
5.3%
천 214
 
5.1%
로 209
 
4.9%
역 206
 
4.9%
구 206
 
4.9%
광 206
 
4.9%
Other values (195) 1966
46.4%
Latin
ValueCountFrequency (%)
B 13
25.5%
T 8
15.7%
A 5
 
9.8%
C 5
 
9.8%
D 4
 
7.8%
R 3
 
5.9%
E 2
 
3.9%
M 2
 
3.9%
a 1
 
2.0%
s 1
 
2.0%
Other values (7) 7
13.7%
Common
ValueCountFrequency (%)
1135
38.3%
1 339
 
11.4%
( 208
 
7.0%
) 208
 
7.0%
, 196
 
6.6%
2 184
 
6.2%
0 150
 
5.1%
3 118
 
4.0%
6 80
 
2.7%
5 77
 
2.6%
Other values (6) 268
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4237
58.4%
ASCII 3014
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1135
37.7%
1 339
 
11.2%
( 208
 
6.9%
) 208
 
6.9%
, 196
 
6.5%
2 184
 
6.1%
0 150
 
5.0%
3 118
 
3.9%
6 80
 
2.7%
5 77
 
2.6%
Other values (23) 319
 
10.6%
Hangul
ValueCountFrequency (%)
동 277
 
6.5%
연 251
 
5.9%
수 251
 
5.9%
시 228
 
5.4%
인 223
 
5.3%
천 214
 
5.1%
로 209
 
4.9%
역 206
 
4.9%
구 206
 
4.9%
광 206
 
4.9%
Other values (195) 1966
46.4%

소재지면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.348815
Minimum0
Maximum1598
Zeros14
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-18T14:46:03.838789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.485
median39.6
Q382.66
95-th percentile270
Maximum1598
Range1598
Interquartile range (IQR)59.175

Descriptive statistics

Standard deviation147.11041
Coefficient of variation (CV)1.8539711
Kurtosis57.095455
Mean79.348815
Median Absolute Deviation (MAD)20.22
Skewness6.4873815
Sum16742.6
Variance21641.473
MonotonicityNot monotonic
2024-03-18T14:46:03.974823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
6.6%
48.0 5
 
2.4%
35.0 5
 
2.4%
30.0 5
 
2.4%
50.0 5
 
2.4%
22.3 5
 
2.4%
33.0 4
 
1.9%
18.0 3
 
1.4%
6.0 3
 
1.4%
15.0 2
 
0.9%
Other values (155) 160
75.8%
ValueCountFrequency (%)
0.0 14
6.6%
1.5 1
 
0.5%
1.65 1
 
0.5%
2.7 1
 
0.5%
6.0 3
 
1.4%
6.6 1
 
0.5%
7.0 1
 
0.5%
9.9 2
 
0.9%
10.44 1
 
0.5%
12.0 1
 
0.5%
ValueCountFrequency (%)
1598.0 1
0.5%
754.06 1
0.5%
614.62 1
0.5%
567.3 1
0.5%
495.87 1
0.5%
493.64 1
0.5%
376.45 1
0.5%
326.4 1
0.5%
309.21 1
0.5%
306.9 1
0.5%

우편번호(지번)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)2.9%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean406792.14
Minimum406090
Maximum406840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-18T14:46:04.075252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum406090
5-th percentile406800
Q1406811
median406821
Q3406840
95-th percentile406840
Maximum406840
Range750
Interquartile range (IQR)29

Descriptive statistics

Standard deviation149.55909
Coefficient of variation (CV)0.00036765482
Kurtosis18.489218
Mean406792.14
Median Absolute Deviation (MAD)10
Skewness-4.4845464
Sum85426350
Variance22367.922
MonotonicityNot monotonic
2024-03-18T14:46:04.171888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
406840 66
31.3%
406811 42
19.9%
406821 38
18.0%
406828 30
14.2%
406800 25
 
11.8%
406090 9
 
4.3%
(Missing) 1
 
0.5%
ValueCountFrequency (%)
406090 9
 
4.3%
406800 25
 
11.8%
406811 42
19.9%
406821 38
18.0%
406828 30
14.2%
406840 66
31.3%
ValueCountFrequency (%)
406840 66
31.3%
406828 30
14.2%
406821 38
18.0%
406811 42
19.9%
406800 25
 
11.8%
406090 9
 
4.3%

우편번호(도로명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct66
Distinct (%)42.3%
Missing55
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean21957.667
Minimum21903
Maximum22021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-18T14:46:04.307588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21903
5-th percentile21909
Q121925
median21948
Q321995
95-th percentile22006
Maximum22021
Range118
Interquartile range (IQR)70

Descriptive statistics

Standard deviation35.30701
Coefficient of variation (CV)0.0016079582
Kurtosis-1.4977174
Mean21957.667
Median Absolute Deviation (MAD)31
Skewness0.10364006
Sum3425396
Variance1246.5849
MonotonicityNot monotonic
2024-03-18T14:46:04.557395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21984 11
 
5.2%
21917 9
 
4.3%
21946 7
 
3.3%
21921 6
 
2.8%
22001 6
 
2.8%
21998 5
 
2.4%
22006 5
 
2.4%
21919 5
 
2.4%
22002 5
 
2.4%
21927 4
 
1.9%
Other values (56) 93
44.1%
(Missing) 55
26.1%
ValueCountFrequency (%)
21903 2
 
0.9%
21904 1
 
0.5%
21906 1
 
0.5%
21907 2
 
0.9%
21909 3
 
1.4%
21911 4
1.9%
21913 3
 
1.4%
21917 9
4.3%
21918 1
 
0.5%
21919 5
2.4%
ValueCountFrequency (%)
22021 1
 
0.5%
22020 1
 
0.5%
22013 1
 
0.5%
22011 1
 
0.5%
22009 1
 
0.5%
22007 2
 
0.9%
22006 5
2.4%
22004 1
 
0.5%
22003 4
1.9%
22002 5
2.4%

교육이수여부
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
예
154 
미입력
51 
아니오
 
6

Length

Max length3
Median length1
Mean length1.5402844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예
2nd row미입력
3rd row미입력
4th row미입력
5th row예

Common Values

ValueCountFrequency (%)
예 154
73.0%
미입력 51
 
24.2%
아니오 6
 
2.8%

Length

2024-03-18T14:46:05.012705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:46:05.155103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예 154
73.0%
미입력 51
 
24.2%
아니오 6
 
2.8%

Interactions

2024-03-18T14:46:00.304097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:45:59.707055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:46:00.030605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:46:00.394818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:45:59.840112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:46:00.129482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:46:00.480726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:45:59.928371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:46:00.217078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:46:05.223152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매업구분명소재지면적(제곱미터)우편번호(지번)우편번호(도로명)교육이수여부
판매업구분명1.0000.343NaN0.3000.391
소재지면적(제곱미터)0.3431.000NaN0.0000.180
우편번호(지번)NaNNaN1.000NaNNaN
우편번호(도로명)0.3000.000NaN1.0000.000
교육이수여부0.3910.180NaN0.0001.000
2024-03-18T14:46:05.333152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매업구분명교육이수여부
판매업구분명1.0000.320
교육이수여부0.3201.000
2024-03-18T14:46:05.431051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적(제곱미터)우편번호(지번)우편번호(도로명)판매업구분명교육이수여부
소재지면적(제곱미터)1.000-0.073-0.0360.2390.074
우편번호(지번)-0.0731.0000.7170.0000.000
우편번호(도로명)-0.0360.7171.0000.1300.000
판매업구분명0.2390.0000.1301.0000.320
교육이수여부0.0740.0000.0000.3201.000

Missing values

2024-03-18T14:46:00.597312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:46:00.755286image/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.
2024-03-18T14:46:00.866357image/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

판매업구분명사업장명칭권리주체명영업상태구분소재지주소(지번)소재지주소(도로명)소재지면적(제곱미터)우편번호(지번)우편번호(도로명)교육이수여부
0식육판매업안심축산물전문점 옥련점정경미정상인천광역시 연수구 옥련동 213-2인천광역시 연수구 독배로 56-1 (옥련동)49.0440682121949예
1우유류판매업연세우유 인천송도보급소정연석정상인천광역시 연수구 청학동 3-0105 3통2반<NA>18.64406828<NA>미입력
2식육판매업럭키정육점염향미정상인천광역시 연수구 연수동 582-2인천광역시 연수구 원인재로 216, 402동 지하1호 (연수동, 연수시영1차아파트상가)21.6340681121932미입력
3식육판매업한국정육유통김종철정상인천광역시 연수구 동춘동 928 분산상가 104호인천광역시 연수구 원인재로 56, 104호 (동춘동, 현대아파트 분산상가)23.640680021976미입력
4식육판매업유천정육점조남석정상인천광역시 연수구 연수동 534 유천아파트 상가 지하 129호인천광역시 연수구 먼우금로 302 (연수동,유천아파트 상가 지하 129호)33.64406811<NA>예
5식육판매업무지개정육점김영환정상인천광역시 연수구 동춘동 931 무지개상가 120호인천광역시 연수구 원인재로 14 (동춘동,무지개상가 120호)19.38406800<NA>미입력
6우유류판매업서울우유 송도고객센터오하늘정상인천광역시 연수구 옥련동 128 105호인천광역시 연수구 독배로90번길 67, 105호 (옥련동)45.040682121948예
7식육판매업김포정육점이순옥정상인천광역시 연수구 청학동 72-5 (1층)<NA>24.05406828<NA>미입력
8식육판매업자매정육점박정순정상인천광역시 연수구 연수동 582-2 솔밭마을아파트인천광역시 연수구 원인재로 232, 지하층 1호 (연수동, 솔밭마을아파트)23.3740681121934예
9우유류판매업서울우유 연수보급소박태영정상인천광역시 연수구 연수동 546-7 1층 오른쪽 칸인천광역시 연수구 새말로69번길 22-21 (연수동,1층 오른쪽 칸)66.0406811<NA>미입력
판매업구분명사업장명칭권리주체명영업상태구분소재지주소(지번)소재지주소(도로명)소재지면적(제곱미터)우편번호(지번)우편번호(도로명)교육이수여부
201식육판매업제주클래식(주)에이치아이 제주클래식정상인천광역시 연수구 송도동 8-19 2층 203호인천광역시 연수구 하모니로 124, 2층 203호 (송도동)24.2640684021998예
202식육판매업딱 조아 푸줏간이길선정상인천광역시 연수구 송도동 21-1 107호인천광역시 연수구 해돋이로172번길 42, 비엠빌딩 1층 107호 (송도동)33.0640684022002예
203축산물유통전문판매업주식회사 픽커스주식회사 픽커스정상인천광역시 연수구 송도동 174-1 송도건원테크노큐브 816호인천광역시 연수구 송도과학로16번길 13-18, 송도건원테크노큐브 816호 (송도동)43.4140684021984예
204식육판매업양예F&B구정연정상인천광역시 연수구 청학동 492-1인천광역시 연수구 청명로31번길 15, 1층 (청학동)119.2440682821917예
205식육판매업일등정육점백진기정상인천광역시 연수구 연수동 582-2 솔밭마을아파트 상가동 107호인천광역시 연수구 원인재로 232, 상가동동 1층 107호 (연수동, 솔밭마을아파트)39.2540681121934예
206축산물유통전문판매업주식회사 담은푸드주식회사 담은푸드정상인천광역시 연수구 송도동 172-3 송도테크노파크 BT센터 2211호인천광역시 연수구 송도과학로 56, 송도테크노파크 BT센터 22층 2211호 (송도동)6.040684021984예
207식육판매업(주)대호국제통상(주)대호국제통상정상인천광역시 연수구 송도동 29-8 B동 1810호인천광역시 연수구 센트럴로 313, B동 18층 1810호 (송도동)42.640684022006예
208축산물유통전문판매업주식회사 해진주식회사해진정상인천광역시 연수구 송도동 29-8 B동 1817호인천광역시 연수구 센트럴로 313, B동 18층 1817호 (송도동)21.340684022006예
209식육판매업돈먹고 돈벌자김영재정상인천광역시 연수구 선학동 412-3인천광역시 연수구 학나래로6번길 24, 1층 (선학동)6.040609021911예
210축산물유통전문판매업요거티아정용철정상인천광역시 연수구 송도동 29-8인천광역시 연수구 센트럴로 313, C동 23층 2301호 (송도동)1.540684022006예