Overview

Dataset statistics

Number of variables7
Number of observations1145
Missing cells842
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.9 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description인천광역시 남동구 건강기능식품 일반판매업소 현황에 대한 데이터로 업소명,주소,연락처, 기준일자를 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038947&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
업종명 is highly imbalanced (83.4%)Imbalance
소재지전화 has 842 (73.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:31:59.137670
Analysis finished2024-01-28 06:32:00.008903
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean573
Minimum1
Maximum1145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-01-28T15:32:00.079576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.2
Q1287
median573
Q3859
95-th percentile1087.8
Maximum1145
Range1144
Interquartile range (IQR)572

Descriptive statistics

Standard deviation330.67734
Coefficient of variation (CV)0.57709832
Kurtosis-1.2
Mean573
Median Absolute Deviation (MAD)286
Skewness0
Sum656085
Variance109347.5
MonotonicityStrictly increasing
2024-01-28T15:32:00.180001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
762 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
763 1
 
0.1%
761 1
 
0.1%
770 1
 
0.1%
Other values (1135) 1135
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1145 1
0.1%
1144 1
0.1%
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%
1136 1
0.1%

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
건강기능식품일반판매업
1117 
건강기능식품유통전문판매업
 
28

Length

Max length13
Median length11
Mean length11.048908
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 1117
97.6%
건강기능식품유통전문판매업 28
 
2.4%

Length

2024-01-28T15:32:00.292878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:32:00.377335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 1117
97.6%
건강기능식품유통전문판매업 28
 
2.4%

업소명
Text

Distinct1119
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-01-28T15:32:00.565752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length6.8934498
Min length2

Characters and Unicode

Total characters7893
Distinct characters603
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1098 ?
Unique (%)95.9%

Sample

1st row주식회사코스모코스
2nd row(주)마임
3rd row(주)스와디시크릿
4th row(주)닥터닥터스
5th row띠앗
ValueCountFrequency (%)
주식회사 46
 
3.5%
인셀덤 28
 
2.1%
세븐일레븐 6
 
0.5%
인셀덤코리아 5
 
0.4%
애터미 5
 
0.4%
컴퍼니 3
 
0.2%
글로벌 3
 
0.2%
인천논현점 3
 
0.2%
초록마을 3
 
0.2%
간석점 3
 
0.2%
Other values (1176) 1212
92.0%
2024-01-28T15:32:00.873120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 263
 
3.3%
스 231
 
2.9%
인 218
 
2.8%
점 199
 
2.5%
172
 
2.2%
) 166
 
2.1%
( 166
 
2.1%
리 162
 
2.1%
주 158
 
2.0%
아 117
 
1.5%
Other values (593) 6041
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6994
88.6%
Uppercase Letter 201
 
2.5%
Space Separator 172
 
2.2%
Close Punctuation 166
 
2.1%
Open Punctuation 166
 
2.1%
Lowercase Letter 128
 
1.6%
Decimal Number 48
 
0.6%
Other Punctuation 12
 
0.2%
Dash Punctuation 4
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 263
 
3.8%
스 231
 
3.3%
인 218
 
3.1%
점 199
 
2.8%
리 162
 
2.3%
주 158
 
2.3%
아 117
 
1.7%
사 93
 
1.3%
에 89
 
1.3%
천 88
 
1.3%
Other values (531) 5376
76.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
14.8%
o 14
10.9%
n 12
9.4%
i 11
8.6%
a 11
8.6%
s 9
 
7.0%
r 9
 
7.0%
m 7
 
5.5%
t 5
 
3.9%
v 4
 
3.1%
Other values (13) 27
21.1%
Uppercase Letter
ValueCountFrequency (%)
E 16
 
8.0%
H 16
 
8.0%
C 14
 
7.0%
S 13
 
6.5%
M 12
 
6.0%
N 12
 
6.0%
K 11
 
5.5%
L 10
 
5.0%
O 10
 
5.0%
T 10
 
5.0%
Other values (13) 77
38.3%
Decimal Number
ValueCountFrequency (%)
2 16
33.3%
1 8
16.7%
5 7
14.6%
3 6
 
12.5%
0 4
 
8.3%
4 3
 
6.2%
9 2
 
4.2%
8 1
 
2.1%
6 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 8
66.7%
. 4
33.3%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6994
88.6%
Common 570
 
7.2%
Latin 329
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 263
 
3.8%
스 231
 
3.3%
인 218
 
3.1%
점 199
 
2.8%
리 162
 
2.3%
주 158
 
2.3%
아 117
 
1.7%
사 93
 
1.3%
에 89
 
1.3%
천 88
 
1.3%
Other values (531) 5376
76.9%
Latin
ValueCountFrequency (%)
e 19
 
5.8%
E 16
 
4.9%
H 16
 
4.9%
C 14
 
4.3%
o 14
 
4.3%
S 13
 
4.0%
M 12
 
3.6%
n 12
 
3.6%
N 12
 
3.6%
i 11
 
3.3%
Other values (36) 190
57.8%
Common
ValueCountFrequency (%)
172
30.2%
) 166
29.1%
( 166
29.1%
2 16
 
2.8%
1 8
 
1.4%
& 8
 
1.4%
5 7
 
1.2%
3 6
 
1.1%
0 4
 
0.7%
- 4
 
0.7%
Other values (6) 13
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6994
88.6%
ASCII 899
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 263
 
3.8%
스 231
 
3.3%
인 218
 
3.1%
점 199
 
2.8%
리 162
 
2.3%
주 158
 
2.3%
아 117
 
1.7%
사 93
 
1.3%
에 89
 
1.3%
천 88
 
1.3%
Other values (531) 5376
76.9%
ASCII
ValueCountFrequency (%)
172
19.1%
) 166
18.5%
( 166
18.5%
e 19
 
2.1%
2 16
 
1.8%
E 16
 
1.8%
H 16
 
1.8%
C 14
 
1.6%
o 14
 
1.6%
S 13
 
1.4%
Other values (52) 287
31.9%

소재지(도로명)
Text

Distinct1118
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-01-28T15:32:01.086751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length41.186026
Min length22

Characters and Unicode

Total characters47158
Distinct characters366
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1094 ?
Unique (%)95.5%

Sample

1st row인천광역시 남동구 앵고개로 404 (고잔동)
2nd row인천광역시 남동구 아암대로 1075, 1층 (고잔동, 148블록 6로트)
3rd row인천광역시 남동구 선수촌공원로 5, 구월테크노밸리 C동 501호 (구월동)
4th row인천광역시 남동구 남동대로239번길 72-29, 2층 일부호 (논현동)
5th row인천광역시 남동구 장승남로 41-1, 에메랄드프라자 1층 105호 (만수동)
ValueCountFrequency (%)
인천광역시 1145
 
13.0%
남동구 1145
 
13.0%
구월동 350
 
4.0%
논현동 254
 
2.9%
1층 196
 
2.2%
만수동 194
 
2.2%
간석동 163
 
1.9%
일부호 148
 
1.7%
2층 130
 
1.5%
3층 104
 
1.2%
Other values (1761) 4948
56.4%
2024-01-28T15:32:01.415057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7635
 
16.2%
동 2795
 
5.9%
1 2025
 
4.3%
구 1740
 
3.7%
, 1618
 
3.4%
남 1389
 
2.9%
0 1319
 
2.8%
인 1286
 
2.7%
( 1254
 
2.7%
) 1253
 
2.7%
Other values (356) 24844
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26128
55.4%
Decimal Number 8822
 
18.7%
Space Separator 7635
 
16.2%
Other Punctuation 1624
 
3.4%
Open Punctuation 1254
 
2.7%
Close Punctuation 1253
 
2.7%
Dash Punctuation 216
 
0.5%
Uppercase Letter 157
 
0.3%
Lowercase Letter 49
 
0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2795
 
10.7%
구 1740
 
6.7%
남 1389
 
5.3%
인 1286
 
4.9%
시 1235
 
4.7%
천 1210
 
4.6%
로 1192
 
4.6%
광 1184
 
4.5%
역 1178
 
4.5%
호 1116
 
4.3%
Other values (306) 11803
45.2%
Uppercase Letter
ValueCountFrequency (%)
A 39
24.8%
B 34
21.7%
C 18
11.5%
L 11
 
7.0%
D 9
 
5.7%
F 8
 
5.1%
H 5
 
3.2%
P 5
 
3.2%
S 4
 
2.5%
Z 4
 
2.5%
Other values (12) 20
12.7%
Decimal Number
ValueCountFrequency (%)
1 2025
23.0%
0 1319
15.0%
2 1195
13.5%
3 960
10.9%
5 743
 
8.4%
4 733
 
8.3%
6 551
 
6.2%
8 479
 
5.4%
7 466
 
5.3%
9 351
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 8
16.3%
s 8
16.3%
a 7
14.3%
e 7
14.3%
r 6
12.2%
i 6
12.2%
n 6
12.2%
l 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 1618
99.6%
. 4
 
0.2%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7635
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26128
55.4%
Common 20823
44.2%
Latin 207
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2795
 
10.7%
구 1740
 
6.7%
남 1389
 
5.3%
인 1286
 
4.9%
시 1235
 
4.7%
천 1210
 
4.6%
로 1192
 
4.6%
광 1184
 
4.5%
역 1178
 
4.5%
호 1116
 
4.3%
Other values (306) 11803
45.2%
Latin
ValueCountFrequency (%)
A 39
18.8%
B 34
16.4%
C 18
 
8.7%
L 11
 
5.3%
D 9
 
4.3%
F 8
 
3.9%
o 8
 
3.9%
s 8
 
3.9%
a 7
 
3.4%
e 7
 
3.4%
Other values (21) 58
28.0%
Common
ValueCountFrequency (%)
7635
36.7%
1 2025
 
9.7%
, 1618
 
7.8%
0 1319
 
6.3%
( 1254
 
6.0%
) 1253
 
6.0%
2 1195
 
5.7%
3 960
 
4.6%
5 743
 
3.6%
4 733
 
3.5%
Other values (9) 2088
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26128
55.4%
ASCII 21029
44.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7635
36.3%
1 2025
 
9.6%
, 1618
 
7.7%
0 1319
 
6.3%
( 1254
 
6.0%
) 1253
 
6.0%
2 1195
 
5.7%
3 960
 
4.6%
5 743
 
3.5%
4 733
 
3.5%
Other values (39) 2294
 
10.9%
Hangul
ValueCountFrequency (%)
동 2795
 
10.7%
구 1740
 
6.7%
남 1389
 
5.3%
인 1286
 
4.9%
시 1235
 
4.7%
천 1210
 
4.6%
로 1192
 
4.6%
광 1184
 
4.5%
역 1178
 
4.5%
호 1116
 
4.3%
Other values (306) 11803
45.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지(지번)
Text

Distinct1118
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-01-28T15:32:01.605105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length49
Mean length33.565066
Min length17

Characters and Unicode

Total characters38432
Distinct characters377
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1093 ?
Unique (%)95.5%

Sample

1st row인천광역시 남동구 고잔동 687-14
2nd row인천광역시 남동구 고잔동 712-13 148블록 6로트 1층
3rd row인천광역시 남동구 구월동 1550-3 구월테크노밸리 501호
4th row인천광역시 남동구 논현동 449-2 2층 일부호
5th row인천광역시 남동구 만수동 1019-4 에메랄드프라자 1층 105호
ValueCountFrequency (%)
인천광역시 1145
 
15.7%
남동구 1145
 
15.7%
구월동 359
 
4.9%
논현동 257
 
3.5%
만수동 200
 
2.7%
간석동 172
 
2.4%
1층 127
 
1.7%
서창동 85
 
1.2%
2층 75
 
1.0%
3층 56
 
0.8%
Other values (1863) 3688
50.5%
2024-01-28T15:32:01.916367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6945
 
18.1%
동 2687
 
7.0%
1 2407
 
6.3%
구 1574
 
4.1%
0 1297
 
3.4%
시 1232
 
3.2%
인 1193
 
3.1%
남 1186
 
3.1%
광 1184
 
3.1%
천 1180
 
3.1%
Other values (367) 17547
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20615
53.6%
Decimal Number 9257
24.1%
Space Separator 6945
 
18.1%
Dash Punctuation 953
 
2.5%
Other Punctuation 153
 
0.4%
Close Punctuation 150
 
0.4%
Open Punctuation 149
 
0.4%
Uppercase Letter 146
 
0.4%
Lowercase Letter 51
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2687
 
13.0%
구 1574
 
7.6%
시 1232
 
6.0%
인 1193
 
5.8%
남 1186
 
5.8%
광 1184
 
5.7%
천 1180
 
5.7%
역 1149
 
5.6%
호 906
 
4.4%
층 543
 
2.6%
Other values (317) 7781
37.7%
Uppercase Letter
ValueCountFrequency (%)
A 37
25.3%
B 29
19.9%
C 16
11.0%
L 11
 
7.5%
F 8
 
5.5%
D 8
 
5.5%
P 5
 
3.4%
H 5
 
3.4%
Z 4
 
2.7%
S 4
 
2.7%
Other values (11) 19
13.0%
Decimal Number
ValueCountFrequency (%)
1 2407
26.0%
0 1297
14.0%
2 1126
12.2%
3 954
 
10.3%
4 795
 
8.6%
6 765
 
8.3%
5 663
 
7.2%
7 456
 
4.9%
8 415
 
4.5%
9 379
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 8
15.7%
o 8
15.7%
a 7
13.7%
e 7
13.7%
r 6
11.8%
n 6
11.8%
i 6
11.8%
b 2
 
3.9%
l 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 144
94.1%
. 7
 
4.6%
/ 1
 
0.7%
@ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
6945
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 953
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20615
53.6%
Common 17619
45.8%
Latin 198
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2687
 
13.0%
구 1574
 
7.6%
시 1232
 
6.0%
인 1193
 
5.8%
남 1186
 
5.8%
광 1184
 
5.7%
천 1180
 
5.7%
역 1149
 
5.6%
호 906
 
4.4%
층 543
 
2.6%
Other values (317) 7781
37.7%
Latin
ValueCountFrequency (%)
A 37
18.7%
B 29
14.6%
C 16
 
8.1%
L 11
 
5.6%
s 8
 
4.0%
F 8
 
4.0%
o 8
 
4.0%
D 8
 
4.0%
a 7
 
3.5%
e 7
 
3.5%
Other values (21) 59
29.8%
Common
ValueCountFrequency (%)
6945
39.4%
1 2407
 
13.7%
0 1297
 
7.4%
2 1126
 
6.4%
3 954
 
5.4%
- 953
 
5.4%
4 795
 
4.5%
6 765
 
4.3%
5 663
 
3.8%
7 456
 
2.6%
Other values (9) 1258
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20615
53.6%
ASCII 17816
46.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6945
39.0%
1 2407
 
13.5%
0 1297
 
7.3%
2 1126
 
6.3%
3 954
 
5.4%
- 953
 
5.3%
4 795
 
4.5%
6 765
 
4.3%
5 663
 
3.7%
7 456
 
2.6%
Other values (39) 1455
 
8.2%
Hangul
ValueCountFrequency (%)
동 2687
 
13.0%
구 1574
 
7.6%
시 1232
 
6.0%
인 1193
 
5.8%
남 1186
 
5.8%
광 1184
 
5.7%
천 1180
 
5.7%
역 1149
 
5.6%
호 906
 
4.4%
층 543
 
2.6%
Other values (317) 7781
37.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지전화
Text

MISSING 

Distinct293
Distinct (%)96.7%
Missing842
Missing (%)73.5%
Memory size9.1 KiB
2024-01-28T15:32:02.112154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.079208
Min length9

Characters and Unicode

Total characters3660
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)93.7%

Sample

1st row032-818-1004
2nd row032-237-8135
3rd row032-665-7477
4th row070-4632-3511
5th row032-811-5264
ValueCountFrequency (%)
02-3284-8112 3
 
1.0%
070-7403-8136 2
 
0.7%
032-715-5475 2
 
0.7%
032-811-5264 2
 
0.7%
070-8921-7182 2
 
0.7%
032-460-3549 2
 
0.7%
032-815-2751 2
 
0.7%
02-3459-8000 2
 
0.7%
02-3284-8342 2
 
0.7%
032-421-4913 1
 
0.3%
Other values (283) 283
93.4%
2024-01-28T15:32:02.400727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 604
16.5%
2 529
14.5%
0 525
14.3%
3 463
12.7%
4 358
9.8%
7 240
 
6.6%
8 222
 
6.1%
1 205
 
5.6%
6 198
 
5.4%
5 192
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3056
83.5%
Dash Punctuation 604
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 529
17.3%
0 525
17.2%
3 463
15.2%
4 358
11.7%
7 240
7.9%
8 222
7.3%
1 205
 
6.7%
6 198
 
6.5%
5 192
 
6.3%
9 124
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 604
16.5%
2 529
14.5%
0 525
14.3%
3 463
12.7%
4 358
9.8%
7 240
 
6.6%
8 222
 
6.1%
1 205
 
5.6%
6 198
 
5.4%
5 192
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 604
16.5%
2 529
14.5%
0 525
14.3%
3 463
12.7%
4 358
9.8%
7 240
 
6.6%
8 222
 
6.1%
1 205
 
5.6%
6 198
 
5.4%
5 192
 
5.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2023-05-12 00:00:00
Maximum2023-05-12 00:00:00
2024-01-28T15:32:02.495853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:32:02.565786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:31:59.790598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:32:02.615913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.604
업종명0.6041.000
2024-01-28T15:32:02.680813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.466
업종명0.4661.000

Missing values

2024-01-28T15:31:59.886251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:31:59.971595image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
01건강기능식품유통전문판매업주식회사코스모코스인천광역시 남동구 앵고개로 404 (고잔동)인천광역시 남동구 고잔동 687-14032-818-10042023-05-12
12건강기능식품유통전문판매업(주)마임인천광역시 남동구 아암대로 1075, 1층 (고잔동, 148블록 6로트)인천광역시 남동구 고잔동 712-13 148블록 6로트 1층032-237-81352023-05-12
23건강기능식품유통전문판매업(주)스와디시크릿인천광역시 남동구 선수촌공원로 5, 구월테크노밸리 C동 501호 (구월동)인천광역시 남동구 구월동 1550-3 구월테크노밸리 501호<NA>2023-05-12
34건강기능식품유통전문판매업(주)닥터닥터스인천광역시 남동구 남동대로239번길 72-29, 2층 일부호 (논현동)인천광역시 남동구 논현동 449-2 2층 일부호032-665-74772023-05-12
45건강기능식품유통전문판매업띠앗인천광역시 남동구 장승남로 41-1, 에메랄드프라자 1층 105호 (만수동)인천광역시 남동구 만수동 1019-4 에메랄드프라자 1층 105호<NA>2023-05-12
56건강기능식품유통전문판매업주식회사 아이비랩인천광역시 남동구 인주대로 664, 메인프라자 2차 3층 306호 (구월동)인천광역시 남동구 구월동 279-3 메인프라자 2차 3층 306호<NA>2023-05-12
67건강기능식품유통전문판매업주식회사 잇다컴퍼니인천광역시 남동구 성리로 12, 3층 (구월동)인천광역시 남동구 구월동 1491-2 3층전부070-4632-35112023-05-12
78건강기능식품유통전문판매업주식회사비타리움인천광역시 남동구 인주대로 511, 우진빌딩 1층 (구월동)인천광역시 남동구 구월동 1119-2 우진빌딩 1층전부<NA>2023-05-12
89건강기능식품유통전문판매업에스지(SG)건강유통인천광역시 남동구 호구포로 751, 1층 일부호 (구월동)인천광역시 남동구 구월동 1235-8 1층일부<NA>2023-05-12
910건강기능식품유통전문판매업새턴주식회사인천광역시 남동구 청능대로 581, 광성프라자 5층 일부(503-643)호 (논현동)인천광역시 남동구 논현동 631-8 광성프라자 5층 일부호(503-643)<NA>2023-05-12
연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
11351136건강기능식품일반판매업삼일인터내셔널인천광역시 남동구 백범로247번길 48, 세화빌딩 2층 (구월동)인천광역시 남동구 구월동 1254-1 세화빌딩 2층전부<NA>2023-05-12
11361137건강기능식품일반판매업후크인천광역시 남동구 오봉로 4, 2층 202호 (도림동)인천광역시 남동구 도림동 633-1 2층 202호<NA>2023-05-12
11371138건강기능식품일반판매업디제이컴퍼니인천광역시 남동구 용천로17번길 15-1, B동 4층 401호 (구월동, 청구빌라)인천광역시 남동구 구월동 1217-21 청구빌라 B동 401호<NA>2023-05-12
11381139건강기능식품일반판매업다온인천광역시 남동구 서창남순환로 9, 이편한세상서창 1005동 301호 (서창동, 이편한세상서창)인천광역시 남동구 서창동 685 이편한세상서창 1005동 301호<NA>2023-05-12
11391140건강기능식품일반판매업낭만헬스인천광역시 남동구 호구포로764번길 43, 201호 (구월동, 대동빌라)인천광역시 남동구 구월동 1278-13 대동빌라 201호<NA>2023-05-12
11401141건강기능식품일반판매업빅텐인천광역시 남동구 인주대로591번길 38, 구월3룩소르빌딩 3층 301호 (구월동)인천광역시 남동구 구월동 1129-1 구월3룩소르빌딩 3층 301호<NA>2023-05-12
11411142건강기능식품일반판매업자연주의 인천논현에코점인천광역시 남동구 에코중앙로156번길 13-3, 광동빌딩 1층 일부호 (논현동)인천광역시 남동구 논현동 770-6 광동빌딩 1층 일부호<NA>2023-05-12
11421143건강기능식품일반판매업다바라인천광역시 남동구 논고개로68번길 34, 402동 2002호 (논현동, 논현센트럴뷰)인천광역시 남동구 논현동 749-1 논현센트럴뷰 402동 2002호<NA>2023-05-12
11431144건강기능식품일반판매업스페이스덴인천광역시 남동구 용천로17번길 30, 3층 302호 (구월동)인천광역시 남동구 구월동 1211-24 3층 302호<NA>2023-05-12
11441145건강기능식품일반판매업뉴뱅글인천광역시 남동구 구월로372번길 90, 104동 1502호 (만수동, 하우스토리 만수)인천광역시 남동구 만수동 1123 하우스토리 만수 104동 1502호<NA>2023-05-12