Overview

Dataset statistics

Number of variables7
Number of observations1232
Missing cells626
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.7 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical1
DateTime1
Text4

Dataset

Description인천광역시 연수구에 위치한 이용업, 미용업 현황(연번, 업종명, 업소명, 업소 소재지, 전화번호)(개인정보로 인하여 영업자명 제외)
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067517&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 626 (50.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-14 03:13:14.903450
Analysis finished2024-04-14 03:13:16.209237
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean616.5
Minimum1
Maximum1232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-14T12:13:16.262682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.55
Q1308.75
median616.5
Q3924.25
95-th percentile1170.45
Maximum1232
Range1231
Interquartile range (IQR)615.5

Descriptive statistics

Standard deviation355.79207
Coefficient of variation (CV)0.5771161
Kurtosis-1.2
Mean616.5
Median Absolute Deviation (MAD)308
Skewness0
Sum759528
Variance126588
MonotonicityStrictly increasing
2024-04-14T12:13:16.395862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
821 1
 
0.1%
828 1
 
0.1%
827 1
 
0.1%
826 1
 
0.1%
825 1
 
0.1%
824 1
 
0.1%
823 1
 
0.1%
822 1
 
0.1%
820 1
 
0.1%
Other values (1222) 1222
99.2%
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 (%)
1232 1
0.1%
1231 1
0.1%
1230 1
0.1%
1229 1
0.1%
1228 1
0.1%
1227 1
0.1%
1226 1
0.1%
1225 1
0.1%
1224 1
0.1%
1223 1
0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
일반미용업
478 
피부미용업
185 
미용업
134 
네일미용업
108 
종합미용업
74 
Other values (12)
253 

Length

Max length23
Median length5
Mean length6.2191558
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 478
38.8%
피부미용업 185
 
15.0%
미용업 134
 
10.9%
네일미용업 108
 
8.8%
종합미용업 74
 
6.0%
이용업 66
 
5.4%
화장ㆍ분장 미용업 33
 
2.7%
네일미용업 화장ㆍ분장 미용업 32
 
2.6%
피부미용업 네일미용업 24
 
1.9%
피부미용업 화장ㆍ분장 미용업 23
 
1.9%
Other values (7) 75
 
6.1%

Length

2024-04-14T12:13:16.506372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 532
34.0%
미용업 277
17.7%
피부미용업 270
17.3%
네일미용업 203
 
13.0%
화장ㆍ분장 143
 
9.1%
종합미용업 74
 
4.7%
이용업 66
 
4.2%

신고일자
Date

Distinct1047
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum1981-05-07 00:00:00
Maximum2024-03-19 00:00:00
2024-04-14T12:13:16.607908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:13:16.718942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1199
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-14T12:13:16.977973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length7.8441558
Min length1

Characters and Unicode

Total characters9664
Distinct characters567
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1167 ?
Unique (%)94.7%

Sample

1st row대성 이발관
2nd row성신 이발관
3rd row쌍용 이발관
4th row상록수이발관
5th row남성세계
ValueCountFrequency (%)
헤어 56
 
3.0%
hair 29
 
1.5%
미용실 28
 
1.5%
네일 24
 
1.3%
송도점 24
 
1.3%
이발관 20
 
1.1%
에스테틱 16
 
0.8%
nail 12
 
0.6%
리안헤어 11
 
0.6%
뷰티 10
 
0.5%
Other values (1441) 1667
87.9%
2024-04-14T12:13:17.343648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
674
 
7.0%
어 462
 
4.8%
헤 448
 
4.6%
스 227
 
2.3%
( 214
 
2.2%
) 214
 
2.2%
이 199
 
2.1%
일 170
 
1.8%
네 160
 
1.7%
리 135
 
1.4%
Other values (557) 6761
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6733
69.7%
Lowercase Letter 899
 
9.3%
Uppercase Letter 774
 
8.0%
Space Separator 674
 
7.0%
Open Punctuation 214
 
2.2%
Close Punctuation 214
 
2.2%
Other Punctuation 82
 
0.8%
Decimal Number 62
 
0.6%
Dash Punctuation 6
 
0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 462
 
6.9%
헤 448
 
6.7%
스 227
 
3.4%
이 199
 
3.0%
일 170
 
2.5%
네 160
 
2.4%
리 135
 
2.0%
미 132
 
2.0%
아 116
 
1.7%
점 108
 
1.6%
Other values (480) 4576
68.0%
Lowercase Letter
ValueCountFrequency (%)
a 123
13.7%
e 92
10.2%
i 89
9.9%
o 78
 
8.7%
n 68
 
7.6%
l 65
 
7.2%
r 64
 
7.1%
h 41
 
4.6%
s 39
 
4.3%
u 36
 
4.0%
Other values (15) 204
22.7%
Uppercase Letter
ValueCountFrequency (%)
A 86
 
11.1%
N 64
 
8.3%
O 59
 
7.6%
E 58
 
7.5%
L 56
 
7.2%
I 52
 
6.7%
H 47
 
6.1%
B 45
 
5.8%
S 40
 
5.2%
R 39
 
5.0%
Other values (15) 228
29.5%
Other Punctuation
ValueCountFrequency (%)
& 24
29.3%
. 23
28.0%
# 12
14.6%
' 9
 
11.0%
: 8
 
9.8%
＃ 2
 
2.4%
/ 1
 
1.2%
： 1
 
1.2%
· 1
 
1.2%
; 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 14
22.6%
1 14
22.6%
3 8
12.9%
6 7
11.3%
5 6
9.7%
0 4
 
6.5%
4 4
 
6.5%
7 2
 
3.2%
9 2
 
3.2%
8 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6729
69.6%
Latin 1673
 
17.3%
Common 1258
 
13.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 462
 
6.9%
헤 448
 
6.7%
스 227
 
3.4%
이 199
 
3.0%
일 170
 
2.5%
네 160
 
2.4%
리 135
 
2.0%
미 132
 
2.0%
아 116
 
1.7%
점 108
 
1.6%
Other values (476) 4572
67.9%
Latin
ValueCountFrequency (%)
a 123
 
7.4%
e 92
 
5.5%
i 89
 
5.3%
A 86
 
5.1%
o 78
 
4.7%
n 68
 
4.1%
l 65
 
3.9%
N 64
 
3.8%
r 64
 
3.8%
O 59
 
3.5%
Other values (40) 885
52.9%
Common
ValueCountFrequency (%)
674
53.6%
( 214
 
17.0%
) 214
 
17.0%
& 24
 
1.9%
. 23
 
1.8%
2 14
 
1.1%
1 14
 
1.1%
# 12
 
1.0%
' 9
 
0.7%
3 8
 
0.6%
Other values (17) 52
 
4.1%
Han
ValueCountFrequency (%)
后 1
25.0%
秀 1
25.0%
美 1
25.0%
休 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6729
69.6%
ASCII 2927
30.3%
None 4
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
674
23.0%
( 214
 
7.3%
) 214
 
7.3%
a 123
 
4.2%
e 92
 
3.1%
i 89
 
3.0%
A 86
 
2.9%
o 78
 
2.7%
n 68
 
2.3%
l 65
 
2.2%
Other values (64) 1224
41.8%
Hangul
ValueCountFrequency (%)
어 462
 
6.9%
헤 448
 
6.7%
스 227
 
3.4%
이 199
 
3.0%
일 170
 
2.5%
네 160
 
2.4%
리 135
 
2.0%
미 132
 
2.0%
아 116
 
1.7%
점 108
 
1.6%
Other values (476) 4572
67.9%
None
ValueCountFrequency (%)
＃ 2
50.0%
： 1
25.0%
· 1
25.0%
CJK
ValueCountFrequency (%)
后 1
25.0%
秀 1
25.0%
美 1
25.0%
休 1
25.0%

영업소주소(도로명)
Text

Distinct1213
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-14T12:13:17.559243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length42.401786
Min length22

Characters and Unicode

Total characters52239
Distinct characters343
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

Unique1196 ?
Unique (%)97.1%

Sample

1st row인천광역시 연수구 청학로5번길 5 (청학동)
2nd row인천광역시 연수구 원인재로 212 208동 203 204호 (연수동 연수1차 승기마을 원인재마을)
3rd row인천광역시 연수구 청량로 210 2층 202-1호 (옥련동 쌍용아파트상가동)
4th row인천광역시 연수구 비류대로291번길 26 (청학동)
5th row인천광역시 연수구 원인재로 212 401동 2층 202호 (연수동 연수1차아파트)
ValueCountFrequency (%)
인천광역시 1232
 
12.6%
연수구 1232
 
12.6%
송도동 562
 
5.7%
1층 269
 
2.7%
연수동 227
 
2.3%
동춘동 158
 
1.6%
2층 156
 
1.6%
일부호 128
 
1.3%
옥련동 123
 
1.3%
송도 121
 
1.2%
Other values (1448) 5591
57.1%
2024-04-14T12:13:17.889247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10196
 
19.5%
1 2483
 
4.8%
동 1925
 
3.7%
2 1574
 
3.0%
연 1519
 
2.9%
수 1518
 
2.9%
시 1417
 
2.7%
인 1407
 
2.7%
) 1321
 
2.5%
( 1321
 
2.5%
Other values (333) 27558
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30135
57.7%
Space Separator 10196
 
19.5%
Decimal Number 8645
 
16.5%
Close Punctuation 1321
 
2.5%
Open Punctuation 1321
 
2.5%
Uppercase Letter 374
 
0.7%
Dash Punctuation 167
 
0.3%
Other Punctuation 32
 
0.1%
Lowercase Letter 31
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1925
 
6.4%
연 1519
 
5.0%
수 1518
 
5.0%
시 1417
 
4.7%
인 1407
 
4.7%
천 1308
 
4.3%
로 1285
 
4.3%
광 1236
 
4.1%
구 1234
 
4.1%
역 1232
 
4.1%
Other values (283) 16054
53.3%
Uppercase Letter
ValueCountFrequency (%)
A 87
23.3%
B 56
15.0%
C 37
9.9%
D 34
 
9.1%
T 20
 
5.3%
S 18
 
4.8%
E 17
 
4.5%
U 14
 
3.7%
M 12
 
3.2%
G 11
 
2.9%
Other values (13) 68
18.2%
Decimal Number
ValueCountFrequency (%)
1 2483
28.7%
2 1574
18.2%
0 1110
12.8%
3 748
 
8.7%
4 566
 
6.5%
5 523
 
6.0%
8 516
 
6.0%
6 455
 
5.3%
7 368
 
4.3%
9 302
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 9
29.0%
s 9
29.0%
t 7
22.6%
a 3
 
9.7%
m 2
 
6.5%
i 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
@ 26
81.2%
. 2
 
6.2%
& 2
 
6.2%
? 1
 
3.1%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
10196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30135
57.7%
Common 21691
41.5%
Latin 413
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1925
 
6.4%
연 1519
 
5.0%
수 1518
 
5.0%
시 1417
 
4.7%
인 1407
 
4.7%
천 1308
 
4.3%
로 1285
 
4.3%
광 1236
 
4.1%
구 1234
 
4.1%
역 1232
 
4.1%
Other values (283) 16054
53.3%
Latin
ValueCountFrequency (%)
A 87
21.1%
B 56
13.6%
C 37
 
9.0%
D 34
 
8.2%
T 20
 
4.8%
S 18
 
4.4%
E 17
 
4.1%
U 14
 
3.4%
M 12
 
2.9%
G 11
 
2.7%
Other values (20) 107
25.9%
Common
ValueCountFrequency (%)
10196
47.0%
1 2483
 
11.4%
2 1574
 
7.3%
) 1321
 
6.1%
( 1321
 
6.1%
0 1110
 
5.1%
3 748
 
3.4%
4 566
 
2.6%
5 523
 
2.4%
8 516
 
2.4%
Other values (10) 1333
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30135
57.7%
ASCII 22096
42.3%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10196
46.1%
1 2483
 
11.2%
2 1574
 
7.1%
) 1321
 
6.0%
( 1321
 
6.0%
0 1110
 
5.0%
3 748
 
3.4%
4 566
 
2.6%
5 523
 
2.4%
8 516
 
2.3%
Other values (39) 1738
 
7.9%
Hangul
ValueCountFrequency (%)
동 1925
 
6.4%
연 1519
 
5.0%
수 1518
 
5.0%
시 1417
 
4.7%
인 1407
 
4.7%
천 1308
 
4.3%
로 1285
 
4.3%
광 1236
 
4.1%
구 1234
 
4.1%
역 1232
 
4.1%
Other values (283) 16054
53.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 8
100.0%

영업소주소(지번)
Text

Distinct1186
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-14T12:13:18.140848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length32.3125
Min length16

Characters and Unicode

Total characters39809
Distinct characters328
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

Unique1152 ?
Unique (%)93.5%

Sample

1st row인천광역시 연수구 청학동 526-6
2nd row인천광역시 연수구 연수동 582-2 연수1차 승기마을 원인재마을 208동 203 204호
3rd row인천광역시 연수구 옥련동 644-1 쌍용아파트상가 202-1
4th row인천광역시 연수구 청학동 549-2
5th row인천광역시 연수구 연수동 582-2 연수1차아파트 401동(임대상가) 202호
ValueCountFrequency (%)
인천광역시 1232
 
15.5%
연수구 1232
 
15.5%
송도동 562
 
7.1%
연수동 227
 
2.9%
동춘동 158
 
2.0%
옥련동 123
 
1.6%
송도 121
 
1.5%
1층 115
 
1.4%
상가동 95
 
1.2%
청학동 87
 
1.1%
Other values (1506) 3981
50.2%
2024-04-14T12:13:18.532606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7400
 
18.6%
동 1851
 
4.6%
1 1817
 
4.6%
연 1518
 
3.8%
수 1516
 
3.8%
2 1474
 
3.7%
시 1322
 
3.3%
인 1275
 
3.2%
천 1255
 
3.2%
광 1236
 
3.1%
Other values (318) 19145
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23027
57.8%
Decimal Number 7826
 
19.7%
Space Separator 7400
 
18.6%
Dash Punctuation 952
 
2.4%
Uppercase Letter 344
 
0.9%
Close Punctuation 96
 
0.2%
Open Punctuation 96
 
0.2%
Lowercase Letter 30
 
0.1%
Other Punctuation 25
 
0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1851
 
8.0%
연 1518
 
6.6%
수 1516
 
6.6%
시 1322
 
5.7%
인 1275
 
5.5%
천 1255
 
5.5%
광 1236
 
5.4%
구 1234
 
5.4%
역 1232
 
5.4%
호 948
 
4.1%
Other values (268) 9640
41.9%
Uppercase Letter
ValueCountFrequency (%)
A 73
21.2%
B 48
14.0%
D 33
9.6%
C 32
9.3%
T 20
 
5.8%
S 18
 
5.2%
E 16
 
4.7%
U 14
 
4.1%
M 12
 
3.5%
G 11
 
3.2%
Other values (13) 67
19.5%
Decimal Number
ValueCountFrequency (%)
1 1817
23.2%
2 1474
18.8%
3 955
12.2%
0 890
11.4%
4 584
 
7.5%
5 569
 
7.3%
9 478
 
6.1%
6 445
 
5.7%
8 353
 
4.5%
7 261
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
s 9
30.0%
e 8
26.7%
t 7
23.3%
a 3
 
10.0%
m 2
 
6.7%
i 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
@ 19
76.0%
. 2
 
8.0%
& 2
 
8.0%
? 1
 
4.0%
/ 1
 
4.0%
Space Separator
ValueCountFrequency (%)
7400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23027
57.8%
Common 16400
41.2%
Latin 382
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1851
 
8.0%
연 1518
 
6.6%
수 1516
 
6.6%
시 1322
 
5.7%
인 1275
 
5.5%
천 1255
 
5.5%
광 1236
 
5.4%
구 1234
 
5.4%
역 1232
 
5.4%
호 948
 
4.1%
Other values (268) 9640
41.9%
Latin
ValueCountFrequency (%)
A 73
19.1%
B 48
12.6%
D 33
 
8.6%
C 32
 
8.4%
T 20
 
5.2%
S 18
 
4.7%
E 16
 
4.2%
U 14
 
3.7%
M 12
 
3.1%
G 11
 
2.9%
Other values (20) 105
27.5%
Common
ValueCountFrequency (%)
7400
45.1%
1 1817
 
11.1%
2 1474
 
9.0%
3 955
 
5.8%
- 952
 
5.8%
0 890
 
5.4%
4 584
 
3.6%
5 569
 
3.5%
9 478
 
2.9%
6 445
 
2.7%
Other values (10) 836
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23027
57.8%
ASCII 16774
42.1%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7400
44.1%
1 1817
 
10.8%
2 1474
 
8.8%
3 955
 
5.7%
- 952
 
5.7%
0 890
 
5.3%
4 584
 
3.5%
5 569
 
3.4%
9 478
 
2.8%
6 445
 
2.7%
Other values (39) 1210
 
7.2%
Hangul
ValueCountFrequency (%)
동 1851
 
8.0%
연 1518
 
6.6%
수 1516
 
6.6%
시 1322
 
5.7%
인 1275
 
5.5%
천 1255
 
5.5%
광 1236
 
5.4%
구 1234
 
5.4%
역 1232
 
5.4%
호 948
 
4.1%
Other values (268) 9640
41.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 8
100.0%

소재지전화
Text

MISSING 

Distinct603
Distinct (%)99.5%
Missing626
Missing (%)50.8%
Memory size9.8 KiB
2024-04-14T12:13:18.736496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.046205
Min length12

Characters and Unicode

Total characters7300
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

Unique600 ?
Unique (%)99.0%

Sample

1st row032-832-6552
2nd row032-811-3324
3rd row032-831-7660
4th row032-834-3443
5th row032-811-3789
ValueCountFrequency (%)
032-710-5002 2
 
0.3%
032-821-6677 2
 
0.3%
032-813-4646 2
 
0.3%
070-4388-0222 1
 
0.2%
032-258-3434 1
 
0.2%
032-817-3800 1
 
0.2%
032-831-3515 1
 
0.2%
032-244-0011 1
 
0.2%
032-888-0016 1
 
0.2%
032-818-0723 1
 
0.2%
Other values (593) 593
97.9%
2024-04-14T12:13:19.027263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1212
16.6%
3 1103
15.1%
2 1044
14.3%
0 960
13.2%
8 841
11.5%
1 647
8.9%
5 347
 
4.8%
7 333
 
4.6%
4 282
 
3.9%
6 271
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6088
83.4%
Dash Punctuation 1212
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1103
18.1%
2 1044
17.1%
0 960
15.8%
8 841
13.8%
1 647
10.6%
5 347
 
5.7%
7 333
 
5.5%
4 282
 
4.6%
6 271
 
4.5%
9 260
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1212
16.6%
3 1103
15.1%
2 1044
14.3%
0 960
13.2%
8 841
11.5%
1 647
8.9%
5 347
 
4.8%
7 333
 
4.6%
4 282
 
3.9%
6 271
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1212
16.6%
3 1103
15.1%
2 1044
14.3%
0 960
13.2%
8 841
11.5%
1 647
8.9%
5 347
 
4.8%
7 333
 
4.6%
4 282
 
3.9%
6 271
 
3.7%

Interactions

2024-04-14T12:13:15.799153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:13:19.101799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.915
업종명0.9151.000
2024-04-14T12:13:19.169729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.678
업종명0.6781.000

Missing values

2024-04-14T12:13:16.084121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:13:16.172967image/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

연번업종명신고일자업소명영업소주소(도로명)영업소주소(지번)소재지전화
01이용업1981-05-07대성 이발관인천광역시 연수구 청학로5번길 5 (청학동)인천광역시 연수구 청학동 526-6032-832-6552
12이용업1983-06-10성신 이발관인천광역시 연수구 원인재로 212 208동 203 204호 (연수동 연수1차 승기마을 원인재마을)인천광역시 연수구 연수동 582-2 연수1차 승기마을 원인재마을 208동 203 204호032-811-3324
23이용업1985-09-28쌍용 이발관인천광역시 연수구 청량로 210 2층 202-1호 (옥련동 쌍용아파트상가동)인천광역시 연수구 옥련동 644-1 쌍용아파트상가 202-1032-831-7660
34이용업1989-03-03상록수이발관인천광역시 연수구 비류대로291번길 26 (청학동)인천광역시 연수구 청학동 549-2032-834-3443
45이용업1992-08-12남성세계인천광역시 연수구 원인재로 212 401동 2층 202호 (연수동 연수1차아파트)인천광역시 연수구 연수동 582-2 연수1차아파트 401동(임대상가) 202호032-811-3789
56이용업1993-07-26까까머리 이발관인천광역시 연수구 한진로 49 103호 (옥련동 현대아파트상가)인천광역시 연수구 옥련동 639-1 현대아파트상가 103호032-832-9846
67이용업1993-09-27예수님과함께하는 대림이발관인천광역시 연수구 선학로 37 111호 (선학동 태산대진정광아파트상가)인천광역시 연수구 선학동 340 태산 대진 정광아파트상가동 111호032-813-0615
78이용업1994-07-13현대 이발관인천광역시 연수구 먼우금로 126 지하층 (동춘동 대림2차상가)인천광역시 연수구 동춘동 924 2동 대림2차상가 지하032-816-0281
89이용업1994-02-24삼우 이발관인천광역시 연수구 원인재로 88 210호 (동춘동 대우삼환@종합상가)인천광역시 연수구 동춘동 925-7 대우삼환@종합상가 210호032-813-1478
910이용업1994-04-27아주 이발관인천광역시 연수구 선학로 90 106호 (선학동 아주대동상가)인천광역시 연수구 선학동 353 아주대동상가 106호032-815-3205
연번업종명신고일자업소명영업소주소(도로명)영업소주소(지번)소재지전화
12221223피부미용업 네일미용업 화장ㆍ분장 미용업2020-02-24네일 민(Nail Min)인천광역시 연수구 컨벤시아대로 116 1층 125호 (송도동 푸르지오월드마크)인천광역시 연수구 송도동 22-21 푸르지오월드마크7단지 125호<NA>
12231224피부미용업 네일미용업 화장ㆍ분장 미용업2020-10-13네일은 예쁘게인천광역시 연수구 컨벤시아대로 50 1층 118호 (송도동 푸르지오월드마크)인천광역시 연수구 송도동 20-22 푸르지오월드마크1단지 118호<NA>
12241225피부미용업 네일미용업 화장ㆍ분장 미용업2020-11-18네일해피(nail happy)인천광역시 연수구 신송로6번길 7 상가동 201호 (송도동 송도 성지리벨루스)인천광역시 연수구 송도동 2-12 송도 성지리벨루스 상가동 201호<NA>
12251226피부미용업 네일미용업 화장ㆍ분장 미용업2021-01-18바닐라뷰티크인천광역시 연수구 하모니로 158 송도타임스페이스 C동 215호 (송도동)인천광역시 연수구 송도동 8-21 송도타임스페이스 C동 215호<NA>
12261227피부미용업 네일미용업 화장ㆍ분장 미용업2021-02-25소담살롱인천광역시 연수구 하모니로 158 송도타임스페이스 D동 2층 222호 (송도동)인천광역시 연수구 송도동 8-21 송도타임스페이스 D동 222호<NA>
12271228피부미용업 네일미용업 화장ㆍ분장 미용업2021-04-07365왁싱인천광역시 연수구 앵고개로 260 맘모스빌딩 2층 208호 (동춘동)인천광역시 연수구 동춘동 936-6 맘모스빌딩 2층 208호<NA>
12281229피부미용업 네일미용업 화장ㆍ분장 미용업2022-02-28네일을 부탁해인천광역시 연수구 계림로112번길 9 삼성주택 1층 일부호 (청학동)인천광역시 연수구 청학동 552-2 삼성주택 1층일부호032-819-7715
12291230피부미용업 네일미용업 화장ㆍ분장 미용업2022-05-09나다운네일인천광역시 연수구 하모니로178번길 22 3층 315일부호 (송도동)인천광역시 연수구 송도동 10-7 315일부호<NA>
12301231피부미용업 네일미용업 화장ㆍ분장 미용업2022-03-21네일젤이뻐인천광역시 연수구 먼우금로222번길 37 이레하이니스 101동 101호 (연수동)인천광역시 연수구 연수동 593-10 이레하이니스 101동 101호<NA>
12311232피부미용업 네일미용업 화장ㆍ분장 미용업2023-04-21숲래쉬 속눈썹&펌인천광역시 연수구 하모니로178번길 22 송도 GTX 센트럴 129-1호 일부호 (송도동)인천광역시 연수구 송도동 10-7 송도 GTX 센트럴 129-1호 일부<NA>