Overview

Dataset statistics

Number of variables3
Number of observations942
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 계양구 관내 미용업 현황에 대한 데이터로, 연번, 업소명, 영업소 주소(도로명주소) 등의 항목을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15006776/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:16:59.195453
Analysis finished2024-03-16 04:17:00.826845
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct942
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.5
Minimum1
Maximum942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-16T13:17:00.936395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile48.05
Q1236.25
median471.5
Q3706.75
95-th percentile894.95
Maximum942
Range941
Interquartile range (IQR)470.5

Descriptive statistics

Standard deviation272.07628
Coefficient of variation (CV)0.57704406
Kurtosis-1.2
Mean471.5
Median Absolute Deviation (MAD)235.5
Skewness0
Sum444153
Variance74025.5
MonotonicityStrictly increasing
2024-03-16T13:17:01.141885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
634 1
 
0.1%
622 1
 
0.1%
623 1
 
0.1%
624 1
 
0.1%
625 1
 
0.1%
626 1
 
0.1%
627 1
 
0.1%
628 1
 
0.1%
629 1
 
0.1%
Other values (932) 932
98.9%
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 (%)
942 1
0.1%
941 1
0.1%
940 1
0.1%
939 1
0.1%
938 1
0.1%
937 1
0.1%
936 1
0.1%
935 1
0.1%
934 1
0.1%
933 1
0.1%

업소명
Text

Distinct901
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-16T13:17:01.586572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length6.6252654
Min length2

Characters and Unicode

Total characters6241
Distinct characters506
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique869 ?
Unique (%)92.3%

Sample

1st row르네상스미용실
2nd row원 헤어샵
3rd row세라정 헤어코디
4th row더미헤어
5th row정안나미용실
ValueCountFrequency (%)
헤어 22
 
1.8%
hair 18
 
1.5%
nail 13
 
1.1%
네일 9
 
0.7%
헤어샵 8
 
0.7%
더 7
 
0.6%
스킨케어 6
 
0.5%
코코헤어 5
 
0.4%
salon 5
 
0.4%
미용실 5
 
0.4%
Other values (1011) 1112
91.9%
2024-03-16T13:17:02.326192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 446
 
7.1%
헤 424
 
6.8%
269
 
4.3%
미 143
 
2.3%
스 140
 
2.2%
이 124
 
2.0%
리 117
 
1.9%
일 110
 
1.8%
네 106
 
1.7%
) 85
 
1.4%
Other values (496) 4277
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4855
77.8%
Lowercase Letter 417
 
6.7%
Uppercase Letter 341
 
5.5%
Space Separator 269
 
4.3%
Close Punctuation 134
 
2.1%
Open Punctuation 134
 
2.1%
Other Punctuation 54
 
0.9%
Decimal Number 30
 
0.5%
Connector Punctuation 4
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 446
 
9.2%
헤 424
 
8.7%
미 143
 
2.9%
스 140
 
2.9%
이 124
 
2.6%
리 117
 
2.4%
일 110
 
2.3%
네 106
 
2.2%
티 74
 
1.5%
실 74
 
1.5%
Other values (425) 3097
63.8%
Uppercase Letter
ValueCountFrequency (%)
A 38
 
11.1%
H 33
 
9.7%
N 33
 
9.7%
S 23
 
6.7%
I 23
 
6.7%
J 21
 
6.2%
T 20
 
5.9%
R 19
 
5.6%
O 18
 
5.3%
B 18
 
5.3%
Other values (15) 95
27.9%
Lowercase Letter
ValueCountFrequency (%)
a 69
16.5%
i 46
11.0%
e 45
10.8%
l 34
8.2%
r 33
7.9%
n 32
7.7%
o 27
 
6.5%
h 23
 
5.5%
y 15
 
3.6%
u 15
 
3.6%
Other values (14) 78
18.7%
Decimal Number
ValueCountFrequency (%)
2 9
30.0%
0 6
20.0%
1 5
16.7%
7 2
 
6.7%
5 2
 
6.7%
4 2
 
6.7%
3 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
# 16
29.6%
, 15
27.8%
& 10
18.5%
. 9
16.7%
' 3
 
5.6%
! 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 85
63.4%
] 49
36.6%
Open Punctuation
ValueCountFrequency (%)
( 85
63.4%
[ 49
36.6%
Space Separator
ValueCountFrequency (%)
269
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4849
77.7%
Latin 758
 
12.1%
Common 628
 
10.1%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 446
 
9.2%
헤 424
 
8.7%
미 143
 
2.9%
스 140
 
2.9%
이 124
 
2.6%
리 117
 
2.4%
일 110
 
2.3%
네 106
 
2.2%
티 74
 
1.5%
실 74
 
1.5%
Other values (421) 3091
63.7%
Latin
ValueCountFrequency (%)
a 69
 
9.1%
i 46
 
6.1%
e 45
 
5.9%
A 38
 
5.0%
l 34
 
4.5%
r 33
 
4.4%
H 33
 
4.4%
N 33
 
4.4%
n 32
 
4.2%
o 27
 
3.6%
Other values (39) 368
48.5%
Common
ValueCountFrequency (%)
269
42.8%
) 85
 
13.5%
( 85
 
13.5%
[ 49
 
7.8%
] 49
 
7.8%
# 16
 
2.5%
, 15
 
2.4%
& 10
 
1.6%
. 9
 
1.4%
2 9
 
1.4%
Other values (12) 32
 
5.1%
Han
ValueCountFrequency (%)
美 3
50.0%
愛 1
 
16.7%
姬 1
 
16.7%
熙 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4846
77.6%
ASCII 1386
 
22.2%
CJK 6
 
0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 446
 
9.2%
헤 424
 
8.7%
미 143
 
3.0%
스 140
 
2.9%
이 124
 
2.6%
리 117
 
2.4%
일 110
 
2.3%
네 106
 
2.2%
티 74
 
1.5%
실 74
 
1.5%
Other values (418) 3088
63.7%
ASCII
ValueCountFrequency (%)
269
19.4%
) 85
 
6.1%
( 85
 
6.1%
a 69
 
5.0%
[ 49
 
3.5%
] 49
 
3.5%
i 46
 
3.3%
e 45
 
3.2%
A 38
 
2.7%
l 34
 
2.5%
Other values (61) 617
44.5%
CJK
ValueCountFrequency (%)
美 3
50.0%
愛 1
 
16.7%
姬 1
 
16.7%
熙 1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
33.3%
ㅓ 1
33.3%
ㅜ 1
33.3%

영업소 주소(도로명)
Text

Distinct921
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-16T13:17:02.749043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length35.715499
Min length21

Characters and Unicode

Total characters33644
Distinct characters271
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

Unique902 ?
Unique (%)95.8%

Sample

1st row인천광역시 계양구 계산로103번길 13 (계산동)
2nd row인천광역시 계양구 계양산로215번길 14-1, 1층일부호 (병방동)
3rd row인천광역시 계양구 안남로 568, 1층 103호 (효성동)
4th row인천광역시 계양구 계양문화로 96, 강북프라자 2층 205호일부호 (용종동)
5th row인천광역시 계양구 경명대로 1055 (계산동, 2층 A호)
ValueCountFrequency (%)
인천광역시 942
 
14.2%
계양구 942
 
14.2%
1층 374
 
5.6%
계산동 268
 
4.0%
작전동 213
 
3.2%
일부호 205
 
3.1%
효성동 124
 
1.9%
2층 114
 
1.7%
상가동 88
 
1.3%
효서로 70
 
1.1%
Other values (1035) 3289
49.6%
2024-03-16T13:17:03.538981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5692
 
16.9%
1 1762
 
5.2%
계 1498
 
4.5%
동 1242
 
3.7%
양 1151
 
3.4%
, 995
 
3.0%
) 993
 
3.0%
( 993
 
3.0%
시 964
 
2.9%
천 964
 
2.9%
Other values (261) 17390
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19486
57.9%
Space Separator 5692
 
16.9%
Decimal Number 5321
 
15.8%
Other Punctuation 1007
 
3.0%
Close Punctuation 994
 
3.0%
Open Punctuation 994
 
3.0%
Dash Punctuation 112
 
0.3%
Uppercase Letter 36
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 1498
 
7.7%
동 1242
 
6.4%
양 1151
 
5.9%
시 964
 
4.9%
천 964
 
4.9%
인 953
 
4.9%
광 945
 
4.8%
역 945
 
4.8%
구 942
 
4.8%
로 909
 
4.7%
Other values (237) 8973
46.0%
Decimal Number
ValueCountFrequency (%)
1 1762
33.1%
2 739
13.9%
0 616
 
11.6%
3 447
 
8.4%
4 361
 
6.8%
5 341
 
6.4%
7 328
 
6.2%
9 255
 
4.8%
6 253
 
4.8%
8 219
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 15
41.7%
B 14
38.9%
C 4
 
11.1%
D 3
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 995
98.8%
. 7
 
0.7%
@ 5
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 993
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 993
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19486
57.9%
Common 14120
42.0%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 1498
 
7.7%
동 1242
 
6.4%
양 1151
 
5.9%
시 964
 
4.9%
천 964
 
4.9%
인 953
 
4.9%
광 945
 
4.8%
역 945
 
4.8%
구 942
 
4.8%
로 909
 
4.7%
Other values (237) 8973
46.0%
Common
ValueCountFrequency (%)
5692
40.3%
1 1762
 
12.5%
, 995
 
7.0%
) 993
 
7.0%
( 993
 
7.0%
2 739
 
5.2%
0 616
 
4.4%
3 447
 
3.2%
4 361
 
2.6%
5 341
 
2.4%
Other values (9) 1181
 
8.4%
Latin
ValueCountFrequency (%)
A 15
39.5%
B 14
36.8%
C 4
 
10.5%
D 3
 
7.9%
e 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19486
57.9%
ASCII 14158
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5692
40.2%
1 1762
 
12.4%
, 995
 
7.0%
) 993
 
7.0%
( 993
 
7.0%
2 739
 
5.2%
0 616
 
4.4%
3 447
 
3.2%
4 361
 
2.5%
5 341
 
2.4%
Other values (14) 1219
 
8.6%
Hangul
ValueCountFrequency (%)
계 1498
 
7.7%
동 1242
 
6.4%
양 1151
 
5.9%
시 964
 
4.9%
천 964
 
4.9%
인 953
 
4.9%
광 945
 
4.8%
역 945
 
4.8%
구 942
 
4.8%
로 909
 
4.7%
Other values (237) 8973
46.0%

Interactions

2024-03-16T13:17:00.326931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-16T13:17:00.600148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:17:00.773772image/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

연번업소명영업소 주소(도로명)
01르네상스미용실인천광역시 계양구 계산로103번길 13 (계산동)
12원 헤어샵인천광역시 계양구 계양산로215번길 14-1, 1층일부호 (병방동)
23세라정 헤어코디인천광역시 계양구 안남로 568, 1층 103호 (효성동)
34더미헤어인천광역시 계양구 계양문화로 96, 강북프라자 2층 205호일부호 (용종동)
45정안나미용실인천광역시 계양구 경명대로 1055 (계산동, 2층 A호)
56정스헤어인천광역시 계양구 안남로573번길 3, 1층 105호 (효성동)
67쌔롬헤어콜렉션인천광역시 계양구 안남로 462 (효성동)
78미니스컷트인천광역시 계양구 장제로 876, 학마을서해아파트 상가동 2층 207호 (병방동)
89정미용실인천광역시 계양구 주부토로 386 (작전동)
910동아리헤어인천광역시 계양구 작전시장로 6 (작전동)
연번업소명영업소 주소(도로명)
932933네일# 손하고 발르고인천광역시 계양구 장제로920번길 23, 1층 일부호 (병방동)
933934네일은 너랑인천광역시 계양구 경명대로 1058, 3층 302-2호 (계산동)
934935단미하우스인천광역시 계양구 아나지로197번길 7, 유승그린아파트 상가동 2층 203, 204호 (효성동)
935936아모르드네일인천광역시 계양구 도두리로 46, 2층 10호 (작전동, 도두리마을 동보아파트상가)
936937뷰티샵인천광역시 계양구 계산천동로 1-1, 3층 (계산동)
937938엄지네일인천광역시 계양구 효서로 182, 풍림아파트 상가동 1층 107-1호 (효성동)
938939쁘리띠네일인천광역시 계양구 안남로551번길 22, 1층 101호 (효성동)
939940루미뷰티네일인천광역시 계양구 안남로 563, 2층 (효성동)
940941윤살롱인천광역시 계양구 병방로 14, 학마을서원아파트 상가동 1층 108호 (병방동)
941942미소 그리다인천광역시 계양구 계양문화로 86, 대우프라자 6층 603호 일부(603-3)호 (용종동)