Overview

Dataset statistics

Number of variables7
Number of observations1119
Missing cells496
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.4 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 496 (44.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-14 03:13:09.114221
Analysis finished2024-04-14 03:13:10.208873
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560
Minimum1
Maximum1119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-04-14T12:13:10.271273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile56.9
Q1280.5
median560
Q3839.5
95-th percentile1063.1
Maximum1119
Range1118
Interquartile range (IQR)559

Descriptive statistics

Standard deviation323.17178
Coefficient of variation (CV)0.57709247
Kurtosis-1.2
Mean560
Median Absolute Deviation (MAD)280
Skewness0
Sum626640
Variance104440
MonotonicityStrictly increasing
2024-04-14T12:13:10.377374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
745 1
 
0.1%
751 1
 
0.1%
750 1
 
0.1%
749 1
 
0.1%
748 1
 
0.1%
747 1
 
0.1%
746 1
 
0.1%
744 1
 
0.1%
753 1
 
0.1%
Other values (1109) 1109
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 (%)
1119 1
0.1%
1118 1
0.1%
1117 1
0.1%
1116 1
0.1%
1115 1
0.1%
1114 1
0.1%
1113 1
0.1%
1112 1
0.1%
1111 1
0.1%
1110 1
0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
일반미용업
450 
피부미용업
164 
미용업
140 
네일미용업
90 
이용업
64 
Other values (12)
211 

Length

Max length23
Median length5
Mean length6.1805183
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 450
40.2%
피부미용업 164
 
14.7%
미용업 140
 
12.5%
네일미용업 90
 
8.0%
이용업 64
 
5.7%
종합미용업 42
 
3.8%
네일미용업, 화장ㆍ분장 미용업 33
 
2.9%
피부미용업, 네일미용업 26
 
2.3%
화장ㆍ분장 미용업 25
 
2.2%
피부미용업, 화장ㆍ분장 미용업 20
 
1.8%
Other values (7) 65
 
5.8%

Length

2024-04-14T12:13:10.480691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 496
34.9%
미용업 266
18.7%
피부미용업 243
17.1%
네일미용업 183
 
12.9%
화장ㆍ분장 126
 
8.9%
이용업 64
 
4.5%
종합미용업 42
 
3.0%

신고일자
Date

Distinct962
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum1981-05-07 00:00:00
Maximum2023-03-14 00:00:00
2024-04-14T12:13:10.576061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:13:10.681265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1084
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-04-14T12:13:10.942503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length7.6291332
Min length1

Characters and Unicode

Total characters8537
Distinct characters551
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

Unique1053 ?
Unique (%)94.1%

Sample

1st row대성 이발관
2nd row성신 이발관
3rd row쌍용 이발관
4th row상록수이발관
5th row남성세계
ValueCountFrequency (%)
헤어 42
 
2.5%
미용실 30
 
1.8%
hair 24
 
1.4%
이발관 19
 
1.1%
네일 16
 
1.0%
송도점 16
 
1.0%
리안헤어 10
 
0.6%
에스테틱 9
 
0.5%
뷰티 9
 
0.5%
nail 9
 
0.5%
Other values (1294) 1477
88.9%
2024-04-14T12:13:11.334738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
 
6.3%
어 434
 
5.1%
헤 417
 
4.9%
스 199
 
2.3%
) 193
 
2.3%
( 193
 
2.3%
이 186
 
2.2%
일 148
 
1.7%
네 139
 
1.6%
미 125
 
1.5%
Other values (541) 5961
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5963
69.8%
Lowercase Letter 805
 
9.4%
Uppercase Letter 684
 
8.0%
Space Separator 542
 
6.3%
Close Punctuation 193
 
2.3%
Open Punctuation 193
 
2.3%
Other Punctuation 88
 
1.0%
Decimal Number 59
 
0.7%
Connector Punctuation 4
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 434
 
7.3%
헤 417
 
7.0%
스 199
 
3.3%
이 186
 
3.1%
일 148
 
2.5%
네 139
 
2.3%
미 125
 
2.1%
리 124
 
2.1%
아 99
 
1.7%
티 94
 
1.6%
Other values (464) 3998
67.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
 
10.2%
N 56
 
8.2%
O 52
 
7.6%
L 51
 
7.5%
E 49
 
7.2%
I 46
 
6.7%
H 41
 
6.0%
B 40
 
5.8%
M 35
 
5.1%
S 35
 
5.1%
Other values (15) 209
30.6%
Lowercase Letter
ValueCountFrequency (%)
a 113
14.0%
e 92
11.4%
i 75
9.3%
o 70
8.7%
l 66
 
8.2%
n 61
 
7.6%
r 56
 
7.0%
s 36
 
4.5%
h 33
 
4.1%
u 30
 
3.7%
Other values (14) 173
21.5%
Other Punctuation
ValueCountFrequency (%)
. 23
26.1%
& 15
17.0%
# 14
15.9%
, 13
14.8%
' 9
 
10.2%
: 7
 
8.0%
/ 2
 
2.3%
＃ 2
 
2.3%
： 1
 
1.1%
; 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 15
25.4%
1 13
22.0%
3 8
13.6%
5 6
 
10.2%
6 6
 
10.2%
4 4
 
6.8%
0 3
 
5.1%
9 2
 
3.4%
7 1
 
1.7%
8 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5960
69.8%
Latin 1489
 
17.4%
Common 1085
 
12.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 434
 
7.3%
헤 417
 
7.0%
스 199
 
3.3%
이 186
 
3.1%
일 148
 
2.5%
네 139
 
2.3%
미 125
 
2.1%
리 124
 
2.1%
아 99
 
1.7%
티 94
 
1.6%
Other values (461) 3995
67.0%
Latin
ValueCountFrequency (%)
a 113
 
7.6%
e 92
 
6.2%
i 75
 
5.0%
A 70
 
4.7%
o 70
 
4.7%
l 66
 
4.4%
n 61
 
4.1%
N 56
 
3.8%
r 56
 
3.8%
O 52
 
3.5%
Other values (39) 778
52.2%
Common
ValueCountFrequency (%)
542
50.0%
) 193
 
17.8%
( 193
 
17.8%
. 23
 
2.1%
& 15
 
1.4%
2 15
 
1.4%
# 14
 
1.3%
1 13
 
1.2%
, 13
 
1.2%
' 9
 
0.8%
Other values (18) 55
 
5.1%
Han
ValueCountFrequency (%)
秀 1
33.3%
休 1
33.3%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5960
69.8%
ASCII 2570
30.1%
None 4
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
21.1%
) 193
 
7.5%
( 193
 
7.5%
a 113
 
4.4%
e 92
 
3.6%
i 75
 
2.9%
A 70
 
2.7%
o 70
 
2.7%
l 66
 
2.6%
n 61
 
2.4%
Other values (64) 1095
42.6%
Hangul
ValueCountFrequency (%)
어 434
 
7.3%
헤 417
 
7.0%
스 199
 
3.3%
이 186
 
3.1%
일 148
 
2.5%
네 139
 
2.3%
미 125
 
2.1%
리 124
 
2.1%
아 99
 
1.7%
티 94
 
1.6%
Other values (461) 3995
67.0%
None
ValueCountFrequency (%)
＃ 2
50.0%
： 1
25.0%
· 1
25.0%
CJK
ValueCountFrequency (%)
秀 1
33.3%
休 1
33.3%
美 1
33.3%

영업소 주소(도로명)
Text

Distinct1107
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-04-14T12:13:11.532846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length41.999106
Min length22

Characters and Unicode

Total characters46997
Distinct characters338
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

Unique1095 ?
Unique (%)97.9%

Sample

1st row인천광역시 연수구 청학로5번길 5 (청학동)
2nd row인천광역시 연수구 원인재로 212, 203,204호 (연수동, 연수시영아파트상가)
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 1119
 
12.9%
연수구 1119
 
12.9%
송도동 464
 
5.4%
1층 256
 
3.0%
연수동 195
 
2.3%
2층 154
 
1.8%
동춘동 126
 
1.5%
상가동 113
 
1.3%
옥련동 89
 
1.0%
일부호 85
 
1.0%
Other values (1414) 4929
57.0%
2024-04-14T12:13:11.847490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7534
 
16.0%
1 2259
 
4.8%
동 1728
 
3.7%
, 1624
 
3.5%
2 1440
 
3.1%
연 1394
 
3.0%
수 1393
 
3.0%
시 1276
 
2.7%
인 1263
 
2.7%
) 1199
 
2.6%
Other values (328) 25887
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27063
57.6%
Decimal Number 7837
 
16.7%
Space Separator 7534
 
16.0%
Other Punctuation 1658
 
3.5%
Close Punctuation 1199
 
2.6%
Open Punctuation 1199
 
2.6%
Uppercase Letter 312
 
0.7%
Dash Punctuation 159
 
0.3%
Lowercase Letter 25
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1728
 
6.4%
연 1394
 
5.2%
수 1393
 
5.1%
시 1276
 
4.7%
인 1263
 
4.7%
천 1176
 
4.3%
로 1168
 
4.3%
광 1123
 
4.1%
구 1123
 
4.1%
역 1119
 
4.1%
Other values (278) 14300
52.8%
Uppercase Letter
ValueCountFrequency (%)
A 74
23.7%
B 44
14.1%
D 31
9.9%
C 28
 
9.0%
S 17
 
5.4%
U 14
 
4.5%
T 13
 
4.2%
E 13
 
4.2%
M 12
 
3.8%
G 9
 
2.9%
Other values (12) 57
18.3%
Decimal Number
ValueCountFrequency (%)
1 2259
28.8%
2 1440
18.4%
0 1000
12.8%
3 665
 
8.5%
4 502
 
6.4%
5 478
 
6.1%
8 467
 
6.0%
6 417
 
5.3%
7 338
 
4.3%
9 271
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
32.0%
s 7
28.0%
t 6
24.0%
a 2
 
8.0%
i 1
 
4.0%
m 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1624
97.9%
@ 29
 
1.7%
. 2
 
0.1%
& 2
 
0.1%
/ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
7534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27063
57.6%
Common 19594
41.7%
Latin 340
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1728
 
6.4%
연 1394
 
5.2%
수 1393
 
5.1%
시 1276
 
4.7%
인 1263
 
4.7%
천 1176
 
4.3%
로 1168
 
4.3%
광 1123
 
4.1%
구 1123
 
4.1%
역 1119
 
4.1%
Other values (278) 14300
52.8%
Latin
ValueCountFrequency (%)
A 74
21.8%
B 44
12.9%
D 31
 
9.1%
C 28
 
8.2%
S 17
 
5.0%
U 14
 
4.1%
T 13
 
3.8%
E 13
 
3.8%
M 12
 
3.5%
G 9
 
2.6%
Other values (20) 85
25.0%
Common
ValueCountFrequency (%)
7534
38.5%
1 2259
 
11.5%
, 1624
 
8.3%
2 1440
 
7.3%
) 1199
 
6.1%
( 1199
 
6.1%
0 1000
 
5.1%
3 665
 
3.4%
4 502
 
2.6%
5 478
 
2.4%
Other values (10) 1694
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27063
57.6%
ASCII 19931
42.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7534
37.8%
1 2259
 
11.3%
, 1624
 
8.1%
2 1440
 
7.2%
) 1199
 
6.0%
( 1199
 
6.0%
0 1000
 
5.0%
3 665
 
3.3%
4 502
 
2.5%
5 478
 
2.4%
Other values (38) 2031
 
10.2%
Hangul
ValueCountFrequency (%)
동 1728
 
6.4%
연 1394
 
5.2%
수 1393
 
5.1%
시 1276
 
4.7%
인 1263
 
4.7%
천 1176
 
4.3%
로 1168
 
4.3%
광 1123
 
4.1%
구 1123
 
4.1%
역 1119
 
4.1%
Other values (278) 14300
52.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%

영업소 주소(지번)
Text

Distinct1091
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-04-14T12:13:12.080829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length32.152815
Min length16

Characters and Unicode

Total characters35979
Distinct characters324
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

Unique1068 ?
Unique (%)95.4%

Sample

1st row인천광역시 연수구 청학동 526-6
2nd row인천광역시 연수구 연수동 582-2 연수시영@상가 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 1119
 
15.7%
연수구 1119
 
15.7%
송도동 477
 
6.7%
연수동 219
 
3.1%
동춘동 149
 
2.1%
옥련동 118
 
1.7%
1층 112
 
1.6%
상가동 92
 
1.3%
청학동 85
 
1.2%
송도 82
 
1.2%
Other values (1435) 3536
49.7%
2024-04-14T12:13:12.442651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6570
 
18.3%
동 1679
 
4.7%
1 1673
 
4.6%
연 1393
 
3.9%
수 1391
 
3.9%
2 1351
 
3.8%
시 1193
 
3.3%
인 1144
 
3.2%
천 1136
 
3.2%
광 1123
 
3.1%
Other values (314) 17326
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20728
57.6%
Decimal Number 7214
 
20.1%
Space Separator 6570
 
18.3%
Dash Punctuation 862
 
2.4%
Uppercase Letter 294
 
0.8%
Other Punctuation 96
 
0.3%
Close Punctuation 91
 
0.3%
Open Punctuation 91
 
0.3%
Lowercase Letter 24
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1679
 
8.1%
연 1393
 
6.7%
수 1391
 
6.7%
시 1193
 
5.8%
인 1144
 
5.5%
천 1136
 
5.5%
광 1123
 
5.4%
구 1123
 
5.4%
역 1119
 
5.4%
호 876
 
4.2%
Other values (264) 8551
41.3%
Uppercase Letter
ValueCountFrequency (%)
A 67
22.8%
B 38
12.9%
D 31
10.5%
C 25
 
8.5%
S 17
 
5.8%
U 14
 
4.8%
T 13
 
4.4%
M 12
 
4.1%
E 12
 
4.1%
G 9
 
3.1%
Other values (12) 56
19.0%
Decimal Number
ValueCountFrequency (%)
1 1673
23.2%
2 1351
18.7%
3 868
12.0%
0 841
11.7%
5 538
 
7.5%
4 525
 
7.3%
9 429
 
5.9%
6 424
 
5.9%
8 320
 
4.4%
7 245
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
s 7
29.2%
e 7
29.2%
t 6
25.0%
a 2
 
8.3%
i 1
 
4.2%
m 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 69
71.9%
@ 22
 
22.9%
. 2
 
2.1%
& 2
 
2.1%
/ 1
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
6570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 862
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20728
57.6%
Common 14930
41.5%
Latin 321
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1679
 
8.1%
연 1393
 
6.7%
수 1391
 
6.7%
시 1193
 
5.8%
인 1144
 
5.5%
천 1136
 
5.5%
광 1123
 
5.4%
구 1123
 
5.4%
역 1119
 
5.4%
호 876
 
4.2%
Other values (264) 8551
41.3%
Latin
ValueCountFrequency (%)
A 67
20.9%
B 38
11.8%
D 31
 
9.7%
C 25
 
7.8%
S 17
 
5.3%
U 14
 
4.4%
T 13
 
4.0%
M 12
 
3.7%
E 12
 
3.7%
G 9
 
2.8%
Other values (20) 83
25.9%
Common
ValueCountFrequency (%)
6570
44.0%
1 1673
 
11.2%
2 1351
 
9.0%
3 868
 
5.8%
- 862
 
5.8%
0 841
 
5.6%
5 538
 
3.6%
4 525
 
3.5%
9 429
 
2.9%
6 424
 
2.8%
Other values (10) 849
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20728
57.6%
ASCII 15248
42.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6570
43.1%
1 1673
 
11.0%
2 1351
 
8.9%
3 868
 
5.7%
- 862
 
5.7%
0 841
 
5.5%
5 538
 
3.5%
4 525
 
3.4%
9 429
 
2.8%
6 424
 
2.8%
Other values (38) 1167
 
7.7%
Hangul
ValueCountFrequency (%)
동 1679
 
8.1%
연 1393
 
6.7%
수 1391
 
6.7%
시 1193
 
5.8%
인 1144
 
5.5%
천 1136
 
5.5%
광 1123
 
5.4%
구 1123
 
5.4%
역 1119
 
5.4%
호 876
 
4.2%
Other values (264) 8551
41.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%

소재지전화
Text

MISSING 

Distinct621
Distinct (%)99.7%
Missing496
Missing (%)44.3%
Memory size8.9 KiB
2024-04-14T12:13:12.720802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.985554
Min length12

Characters and Unicode

Total characters8713
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)99.4%

Sample

1st row 032- 832-6552
2nd row 032-811 -3324
3rd row 032- 831-7660
4th row 032- 834-3443
5th row 032- 811-3789
ValueCountFrequency (%)
032 577
35.1%
833 40
 
2.4%
831 39
 
2.4%
811 32
 
1.9%
070 31
 
1.9%
822 27
 
1.6%
817 21
 
1.3%
818 21
 
1.3%
834 20
 
1.2%
832 18
 
1.1%
Other values (677) 820
49.8%
2024-04-14T12:13:13.122318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1246
14.3%
1208
13.9%
3 1122
12.9%
2 1070
12.3%
0 988
11.3%
8 860
9.9%
1 684
7.9%
5 353
 
4.1%
7 353
 
4.1%
4 287
 
3.3%
Other values (2) 542
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6259
71.8%
Dash Punctuation 1246
 
14.3%
Space Separator 1208
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1122
17.9%
2 1070
17.1%
0 988
15.8%
8 860
13.7%
1 684
10.9%
5 353
 
5.6%
7 353
 
5.6%
4 287
 
4.6%
6 274
 
4.4%
9 268
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1246
100.0%
Space Separator
ValueCountFrequency (%)
1208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8713
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1246
14.3%
1208
13.9%
3 1122
12.9%
2 1070
12.3%
0 988
11.3%
8 860
9.9%
1 684
7.9%
5 353
 
4.1%
7 353
 
4.1%
4 287
 
3.3%
Other values (2) 542
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1246
14.3%
1208
13.9%
3 1122
12.9%
2 1070
12.3%
0 988
11.3%
8 860
9.9%
1 684
7.9%
5 353
 
4.1%
7 353
 
4.1%
4 287
 
3.3%
Other values (2) 542
6.2%

Interactions

2024-04-14T12:13:09.996626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:13:13.202860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.912
업종명0.9121.000
2024-04-14T12:13:13.263580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.671
업종명0.6711.000

Missing values

2024-04-14T12:13:10.087148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:13:10.172887image/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

연번업종명신고일자업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
01이용업1981-05-07대성 이발관인천광역시 연수구 청학로5번길 5 (청학동)인천광역시 연수구 청학동 526-6032- 832-6552
12이용업1983-06-10성신 이발관인천광역시 연수구 원인재로 212, 203,204호 (연수동, 연수시영아파트상가)인천광역시 연수구 연수동 582-2 연수시영@상가 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
연번업종명신고일자업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
11091110피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-02-07아이라이크인천광역시 연수구 새말로 27, 동남아파트내운동,구매,생활시설 1층 109일부호 (연수동)인천광역시 연수구 연수동 536 동남아파트내운동,구매,생활시설 109일부호<NA>
11101111피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-03-10더 예뻐질, 네일인천광역시 연수구 인천타워대로 257, 아트포레 푸르지오시티 A동 203호 (송도동)인천광역시 연수구 송도동 84-2 아트포레 푸르지오시티 A동 203호<NA>
11111112피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-02-24네일 민(Nail Min)인천광역시 연수구 컨벤시아대로 116, 1층 125호 (송도동, 푸르지오월드마크)인천광역시 연수구 송도동 22-21 푸르지오월드마크7단지 125호<NA>
11121113피부미용업, 네일미용업, 화장ㆍ분장 미용업2020-10-13네일은 예쁘게인천광역시 연수구 컨벤시아대로 50, 1층 118호 (송도동, 푸르지오월드마크)인천광역시 연수구 송도동 20-22 푸르지오월드마크1단지 118호<NA>
11131114피부미용업, 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>
11141115피부미용업, 네일미용업, 화장ㆍ분장 미용업2021-01-18바닐라뷰티크인천광역시 연수구 하모니로 158, 송도타임스페이스 C동 215호 (송도동)인천광역시 연수구 송도동 8-21 송도타임스페이스 C동 215호<NA>
11151116피부미용업, 네일미용업, 화장ㆍ분장 미용업2021-02-25소담살롱인천광역시 연수구 하모니로 158, 송도타임스페이스 D동 2층 222호 (송도동)인천광역시 연수구 송도동 8-21 송도타임스페이스 D동 222호<NA>
11161117피부미용업, 네일미용업, 화장ㆍ분장 미용업2021-04-07365왁싱인천광역시 연수구 앵고개로 260, 맘모스빌딩 2층 208호 (동춘동)인천광역시 연수구 동춘동 936-6 맘모스빌딩 2층 208호<NA>
11171118피부미용업, 네일미용업, 화장ㆍ분장 미용업2022-02-28네일을 부탁해인천광역시 연수구 계림로112번길 9, 삼성주택 1층 일부호 (청학동)인천광역시 연수구 청학동 552-2 삼성주택 1층일부호032- 819-7715
11181119피부미용업, 네일미용업, 화장ㆍ분장 미용업2022-05-09나다운네일인천광역시 연수구 하모니로178번길 22, 3층 315일부호 (송도동)인천광역시 연수구 송도동 10-7 315일부호<NA>