Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 연수구 통신판매업소 현황에 대한 데이터로 업소명, 주소 등의 항목- 법인 또는 상호, 소재지주소의 항목으로 구분
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039735&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-04-16 09:15:38.090489
Analysis finished2024-04-16 09:15:39.268924
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7101.5935
Minimum1
Maximum14145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T18:15:39.326150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile713.95
Q13581.5
median7113.5
Q310647.25
95-th percentile13418.05
Maximum14145
Range14144
Interquartile range (IQR)7065.75

Descriptive statistics

Standard deviation4075.781
Coefficient of variation (CV)0.57392485
Kurtosis-1.2024625
Mean7101.5935
Median Absolute Deviation (MAD)3533.5
Skewness-0.013003979
Sum71015935
Variance16611991
MonotonicityNot monotonic
2024-04-16T18:15:39.444615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10278 1
 
< 0.1%
10587 1
 
< 0.1%
5381 1
 
< 0.1%
14001 1
 
< 0.1%
5514 1
 
< 0.1%
5593 1
 
< 0.1%
9282 1
 
< 0.1%
13687 1
 
< 0.1%
12604 1
 
< 0.1%
7376 1
 
< 0.1%
Other values (9990) 9990
99.9%
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%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
14145 1
< 0.1%
14144 1
< 0.1%
14142 1
< 0.1%
14140 1
< 0.1%
14139 1
< 0.1%
14138 1
< 0.1%
14137 1
< 0.1%
14136 1
< 0.1%
14135 1
< 0.1%
14134 1
< 0.1%

법인또는상호
Text

Distinct9777
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-16T18:15:39.731982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length7.2032
Min length1

Characters and Unicode

Total characters72032
Distinct characters1109
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9576 ?
Unique (%)95.8%

Sample

1st row스카이
2nd row제이에치스토어
3rd row주식회사 플린트코리아(FLINT KOREA)
4th row까모(CAMO)
5th row컬리베이비(curly-baby)
ValueCountFrequency (%)
주식회사 1068
 
7.9%
주 78
 
0.6%
co 64
 
0.5%
ltd 60
 
0.4%
인셀덤 37
 
0.3%
더 27
 
0.2%
company 27
 
0.2%
컴퍼니 26
 
0.2%
송도점 26
 
0.2%
스튜디오 25
 
0.2%
Other values (11011) 12073
89.4%
2024-04-16T18:15:40.142160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3546
 
4.9%
이 2656
 
3.7%
스 2104
 
2.9%
) 1857
 
2.6%
( 1856
 
2.6%
주 1570
 
2.2%
사 1401
 
1.9%
리 1269
 
1.8%
회 1163
 
1.6%
식 1143
 
1.6%
Other values (1099) 53467
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51198
71.1%
Lowercase Letter 6745
 
9.4%
Uppercase Letter 5810
 
8.1%
Space Separator 3546
 
4.9%
Close Punctuation 1863
 
2.6%
Open Punctuation 1860
 
2.6%
Decimal Number 518
 
0.7%
Other Punctuation 381
 
0.5%
Dash Punctuation 60
 
0.1%
Other Symbol 28
 
< 0.1%
Other values (3) 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2656
 
5.2%
스 2104
 
4.1%
주 1570
 
3.1%
사 1401
 
2.7%
리 1269
 
2.5%
회 1163
 
2.3%
식 1143
 
2.2%
아 898
 
1.8%
에 855
 
1.7%
트 729
 
1.4%
Other values (1014) 37410
73.1%
Lowercase Letter
ValueCountFrequency (%)
e 768
11.4%
o 759
11.3%
a 584
 
8.7%
n 561
 
8.3%
i 487
 
7.2%
t 455
 
6.7%
r 434
 
6.4%
l 367
 
5.4%
s 321
 
4.8%
c 231
 
3.4%
Other values (16) 1778
26.4%
Uppercase Letter
ValueCountFrequency (%)
A 451
 
7.8%
O 430
 
7.4%
E 430
 
7.4%
L 368
 
6.3%
S 358
 
6.2%
N 336
 
5.8%
I 336
 
5.8%
T 324
 
5.6%
C 316
 
5.4%
M 287
 
4.9%
Other values (16) 2174
37.4%
Other Punctuation
ValueCountFrequency (%)
. 228
59.8%
& 104
27.3%
' 25
 
6.6%
: 9
 
2.4%
# 6
 
1.6%
/ 3
 
0.8%
" 2
 
0.5%
· 2
 
0.5%
; 1
 
0.3%
! 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 128
24.7%
1 99
19.1%
0 60
11.6%
4 55
10.6%
9 42
 
8.1%
5 35
 
6.8%
3 35
 
6.8%
6 25
 
4.8%
7 22
 
4.2%
8 17
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 1857
99.7%
） 4
 
0.2%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1856
99.8%
（ 3
 
0.2%
[ 1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
˚ 1
50.0%
Space Separator
ValueCountFrequency (%)
3546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51215
71.1%
Latin 12555
 
17.4%
Common 8251
 
11.5%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2656
 
5.2%
스 2104
 
4.1%
주 1570
 
3.1%
사 1401
 
2.7%
리 1269
 
2.5%
회 1163
 
2.3%
식 1143
 
2.2%
아 898
 
1.8%
에 855
 
1.7%
트 729
 
1.4%
Other values (1004) 37427
73.1%
Latin
ValueCountFrequency (%)
e 768
 
6.1%
o 759
 
6.0%
a 584
 
4.7%
n 561
 
4.5%
i 487
 
3.9%
t 455
 
3.6%
A 451
 
3.6%
r 434
 
3.5%
O 430
 
3.4%
E 430
 
3.4%
Other values (42) 7196
57.3%
Common
ValueCountFrequency (%)
3546
43.0%
) 1857
22.5%
( 1856
22.5%
. 228
 
2.8%
2 128
 
1.6%
& 104
 
1.3%
1 99
 
1.2%
0 60
 
0.7%
- 60
 
0.7%
4 55
 
0.7%
Other values (22) 258
 
3.1%
Han
ValueCountFrequency (%)
人 1
9.1%
秀 1
9.1%
林 1
9.1%
芽 1
9.1%
仁 1
9.1%
之 1
9.1%
空 1
9.1%
間 1
9.1%
美 1
9.1%
來 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51187
71.1%
ASCII 20796
28.9%
None 37
 
0.1%
CJK 11
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3546
 
17.1%
) 1857
 
8.9%
( 1856
 
8.9%
e 768
 
3.7%
o 759
 
3.6%
a 584
 
2.8%
n 561
 
2.7%
i 487
 
2.3%
t 455
 
2.2%
A 451
 
2.2%
Other values (70) 9472
45.5%
Hangul
ValueCountFrequency (%)
이 2656
 
5.2%
스 2104
 
4.1%
주 1570
 
3.1%
사 1401
 
2.7%
리 1269
 
2.5%
회 1163
 
2.3%
식 1143
 
2.2%
아 898
 
1.8%
에 855
 
1.7%
트 729
 
1.4%
Other values (1003) 37399
73.1%
None
ValueCountFrequency (%)
㈜ 28
75.7%
） 4
 
10.8%
（ 3
 
8.1%
· 2
 
5.4%
CJK
ValueCountFrequency (%)
人 1
9.1%
秀 1
9.1%
林 1
9.1%
芽 1
9.1%
仁 1
9.1%
之 1
9.1%
空 1
9.1%
間 1
9.1%
美 1
9.1%
來 1
9.1%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지주소
Text

Distinct9456
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-16T18:15:40.357687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length63
Mean length45.0376
Min length17

Characters and Unicode

Total characters450376
Distinct characters464
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9027 ?
Unique (%)90.3%

Sample

1st row인천광역시 연수구 함박로 78， 203호 (연수동)
2nd row인천광역시 연수구 넘말로47번길 5， 황산주택 B동 301호 (선학동)
3rd row인천광역시 연수구 송도과학로 32， 송도테크노파크IT센터 에스1601호 (송도동)
4th row인천광역시 연수구 인천타워대로 99， 애니오션빌딩 10층 1005호 (송도동)
5th row인천광역시 연수구 해돋이로6번길 7， 107동 901호 (송도동，아이파크송도)
ValueCountFrequency (%)
인천광역시 9998
 
12.1%
연수구 9986
 
12.1%
송도동， 3080
 
3.7%
송도 2314
 
2.8%
송도동 2190
 
2.7%
30， 982
 
1.2%
송도미래로 837
 
1.0%
연수동 751
 
0.9%
더샵 714
 
0.9%
동춘동， 707
 
0.9%
Other values (5141) 50773
61.7%
2024-04-16T18:15:40.762460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76723
 
17.0%
1 19870
 
4.4%
동 18353
 
4.1%
0 15768
 
3.5%
， 15323
 
3.4%
2 12346
 
2.7%
연 12082
 
2.7%
수 12048
 
2.7%
송 11617
 
2.6%
인 11400
 
2.5%
Other values (454) 244846
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247168
54.9%
Decimal Number 83433
 
18.5%
Space Separator 76723
 
17.0%
Other Punctuation 15506
 
3.4%
Close Punctuation 9784
 
2.2%
Open Punctuation 9784
 
2.2%
Uppercase Letter 6234
 
1.4%
Dash Punctuation 1448
 
0.3%
Lowercase Letter 261
 
0.1%
Math Symbol 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 18353
 
7.4%
연 12082
 
4.9%
수 12048
 
4.9%
송 11617
 
4.7%
인 11400
 
4.6%
도 11385
 
4.6%
시 11303
 
4.6%
천 10722
 
4.3%
로 10316
 
4.2%
광 10070
 
4.1%
Other values (390) 127872
51.7%
Uppercase Letter
ValueCountFrequency (%)
B 1378
22.1%
C 907
14.5%
R 789
12.7%
A 413
 
6.6%
E 399
 
6.4%
D 366
 
5.9%
T 338
 
5.4%
I 315
 
5.1%
S 204
 
3.3%
L 146
 
2.3%
Other values (15) 979
15.7%
Lowercase Letter
ValueCountFrequency (%)
e 146
55.9%
t 24
 
9.2%
a 24
 
9.2%
s 23
 
8.8%
c 9
 
3.4%
b 8
 
3.1%
o 6
 
2.3%
m 5
 
1.9%
i 4
 
1.5%
v 3
 
1.1%
Other values (6) 9
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 19870
23.8%
0 15768
18.9%
2 12346
14.8%
3 9478
11.4%
4 5831
 
7.0%
5 5304
 
6.4%
6 4370
 
5.2%
8 4047
 
4.9%
7 3539
 
4.2%
9 2880
 
3.5%
Other Punctuation
ValueCountFrequency (%)
， 15323
98.8%
& 59
 
0.4%
@ 47
 
0.3%
/ 38
 
0.2%
. 38
 
0.2%
# 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
76723
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9784
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9784
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1448
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247168
54.9%
Common 196711
43.7%
Latin 6497
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 18353
 
7.4%
연 12082
 
4.9%
수 12048
 
4.9%
송 11617
 
4.7%
인 11400
 
4.6%
도 11385
 
4.6%
시 11303
 
4.6%
천 10722
 
4.3%
로 10316
 
4.2%
광 10070
 
4.1%
Other values (390) 127872
51.7%
Latin
ValueCountFrequency (%)
B 1378
21.2%
C 907
14.0%
R 789
12.1%
A 413
 
6.4%
E 399
 
6.1%
D 366
 
5.6%
T 338
 
5.2%
I 315
 
4.8%
S 204
 
3.1%
e 146
 
2.2%
Other values (33) 1242
19.1%
Common
ValueCountFrequency (%)
76723
39.0%
1 19870
 
10.1%
0 15768
 
8.0%
， 15323
 
7.8%
2 12346
 
6.3%
) 9784
 
5.0%
( 9784
 
5.0%
3 9478
 
4.8%
4 5831
 
3.0%
5 5304
 
2.7%
Other values (11) 16500
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247168
54.9%
ASCII 187883
41.7%
None 15323
 
3.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76723
40.8%
1 19870
 
10.6%
0 15768
 
8.4%
2 12346
 
6.6%
) 9784
 
5.2%
( 9784
 
5.2%
3 9478
 
5.0%
4 5831
 
3.1%
5 5304
 
2.8%
6 4370
 
2.3%
Other values (51) 18625
 
9.9%
Hangul
ValueCountFrequency (%)
동 18353
 
7.4%
연 12082
 
4.9%
수 12048
 
4.9%
송 11617
 
4.7%
인 11400
 
4.6%
도 11385
 
4.6%
시 11303
 
4.6%
천 10722
 
4.3%
로 10316
 
4.2%
광 10070
 
4.1%
Other values (390) 127872
51.7%
None
ValueCountFrequency (%)
， 15323
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

Interactions

2024-04-16T18:15:39.080534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-16T18:15:39.176529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T18:15:39.237250image/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

번호법인또는상호소재지주소
1027710278스카이인천광역시 연수구 함박로 78， 203호 (연수동)
28832884제이에치스토어인천광역시 연수구 넘말로47번길 5， 황산주택 B동 301호 (선학동)
39013902주식회사 플린트코리아(FLINT KOREA)인천광역시 연수구 송도과학로 32， 송도테크노파크IT센터 에스1601호 (송도동)
7677까모(CAMO)인천광역시 연수구 인천타워대로 99， 애니오션빌딩 10층 1005호 (송도동)
1330413305컬리베이비(curly-baby)인천광역시 연수구 해돋이로6번길 7， 107동 901호 (송도동，아이파크송도)
1303713038(주)지미킴인천광역시 연수구 용담로 136 (연수동，새롬빌딩 3층)
28292830솔리프 (Solif)인천광역시 연수구 원인재로 300， 104동 1002호 (연수동， 대림아파트)
1088110882리빙솔루션인천광역시 연수구 먼우금로83번길 49， 305동 306호 (동춘동， 대림3차아파트)
1360513606오파라인천광역시 연수구 함박로 26， 101호 (연수동)
10001001세니스토어인천광역시 연수구 앵고개로254번길 13， 동우빌딩 B1층 53호 (동춘동)
번호법인또는상호소재지주소
1125411255핑너겟인천광역시 연수구 원인재로 88， 115동 13층 03호 (동춘동， 삼환아파트)
45004501이정한지인천광역시 연수구 아카데미로312번길 177， 109동 2401호 (송도동， 힐스테이트 레이크 송도)
10571058펫뚜인천광역시 연수구 한나루로79번길 11， 101동 808호 (옥련동， 백산1차아파트)
66716672헬스아일랜드인천광역시 연수구 청솔안로53번길 19， 401호 (청학동， 하나해피빌)
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