Overview

Dataset statistics

Number of variables5
Number of observations587
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description인천광역시 중구 소재한 담배소매인 지정 현황 목록으로 업소명, 업소주소, 영업구분에 관한 데이터입니다.파일명 인천광역시 중구 담배소매인지정현황
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15035519&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 10:06:47.238239
Analysis finished2024-04-17 10:06:47.801872
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct587
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean294.05451
Minimum1
Maximum591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-04-17T19:06:47.859404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.3
Q1147.5
median294
Q3440.5
95-th percentile557.7
Maximum591
Range590
Interquartile range (IQR)293

Descriptive statistics

Standard deviation169.69036
Coefficient of variation (CV)0.57707111
Kurtosis-1.1974274
Mean294.05451
Median Absolute Deviation (MAD)147
Skewness0.0018893857
Sum172610
Variance28794.82
MonotonicityStrictly increasing
2024-04-17T19:06:47.967739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
405 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
391 1
 
0.2%
392 1
 
0.2%
393 1
 
0.2%
394 1
 
0.2%
395 1
 
0.2%
396 1
 
0.2%
Other values (577) 577
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%
587 1
0.2%
586 1
0.2%
585 1
0.2%
583 1
0.2%
580 1
0.2%
578 1
0.2%

민원구분
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
제7조의3제2항에따른경우
400 
제7조의3제3항에따른경우
80 
일반소매인
80 
구내소매인
 
16
 
8

Length

Max length13
Median length13
Mean length11.487223
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 400
68.1%
제7조의3제3항에따른경우 80
 
13.6%
일반소매인 80
 
13.6%
구내소매인 16
 
2.7%
8
 
1.4%
임시소매인 3
 
0.5%

Length

2024-04-17T19:06:48.070748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:06:48.161599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 400
69.1%
제7조의3제3항에따른경우 80
 
13.8%
일반소매인 80
 
13.8%
구내소매인 16
 
2.8%
임시소매인 3
 
0.5%

업소명
Text

Distinct576
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-04-17T19:06:48.589896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length9.3339012
Min length1

Characters and Unicode

Total characters5479
Distinct characters437
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique566 ?
Unique (%)96.4%

Sample

1st row씨유 인천노르웨이숲점
2nd row프리메라전자담배
3rd row세븐일레븐 영종센트럴시티점
4th row고향슈퍼
5th row씨유 영종센텀베뉴점
ValueCountFrequency (%)
씨유 64
 
7.1%
세븐일레븐 45
 
5.0%
지에스25 41
 
4.5%
이마트24 37
 
4.1%
주식회사 15
 
1.7%
gs25 11
 
1.2%
지에스(gs)25 9
 
1.0%
주)코리아세븐 9
 
1.0%
주)비지에프리테일 7
 
0.8%
전자담배 5
 
0.6%
Other values (620) 660
73.1%
2024-04-17T19:06:48.919435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
 
5.8%
점 302
 
5.5%
스 148
 
2.7%
2 140
 
2.6%
영 138
 
2.5%
종 128
 
2.3%
이 118
 
2.2%
트 117
 
2.1%
마 109
 
2.0%
븐 107
 
2.0%
Other values (427) 3852
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4519
82.5%
Space Separator 320
 
5.8%
Decimal Number 297
 
5.4%
Uppercase Letter 138
 
2.5%
Close Punctuation 86
 
1.6%
Open Punctuation 86
 
1.6%
Lowercase Letter 26
 
0.5%
Other Punctuation 4
 
0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 302
 
6.7%
스 148
 
3.3%
영 138
 
3.1%
종 128
 
2.8%
이 118
 
2.6%
트 117
 
2.6%
마 109
 
2.4%
븐 107
 
2.4%
지 100
 
2.2%
인 100
 
2.2%
Other values (372) 3152
69.7%
Uppercase Letter
ValueCountFrequency (%)
S 42
30.4%
G 31
22.5%
C 9
 
6.5%
R 8
 
5.8%
E 5
 
3.6%
K 5
 
3.6%
J 5
 
3.6%
B 4
 
2.9%
W 3
 
2.2%
O 3
 
2.2%
Other values (11) 23
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
15.4%
o 2
 
7.7%
t 2
 
7.7%
f 2
 
7.7%
u 2
 
7.7%
s 2
 
7.7%
y 2
 
7.7%
c 1
 
3.8%
b 1
 
3.8%
m 1
 
3.8%
Other values (7) 7
26.9%
Decimal Number
ValueCountFrequency (%)
2 140
47.1%
5 84
28.3%
4 47
 
15.8%
1 12
 
4.0%
3 5
 
1.7%
8 4
 
1.3%
7 2
 
0.7%
0 2
 
0.7%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
. 1
25.0%
? 1
25.0%
Space Separator
ValueCountFrequency (%)
320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4521
82.5%
Common 794
 
14.5%
Latin 164
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 302
 
6.7%
스 148
 
3.3%
영 138
 
3.1%
종 128
 
2.8%
이 118
 
2.6%
트 117
 
2.6%
마 109
 
2.4%
븐 107
 
2.4%
지 100
 
2.2%
인 100
 
2.2%
Other values (373) 3154
69.8%
Latin
ValueCountFrequency (%)
S 42
25.6%
G 31
18.9%
C 9
 
5.5%
R 8
 
4.9%
E 5
 
3.0%
K 5
 
3.0%
J 5
 
3.0%
B 4
 
2.4%
e 4
 
2.4%
W 3
 
1.8%
Other values (28) 48
29.3%
Common
ValueCountFrequency (%)
320
40.3%
2 140
17.6%
) 86
 
10.8%
( 86
 
10.8%
5 84
 
10.6%
4 47
 
5.9%
1 12
 
1.5%
3 5
 
0.6%
8 4
 
0.5%
7 2
 
0.3%
Other values (6) 8
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4519
82.5%
ASCII 958
 
17.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
33.4%
2 140
14.6%
) 86
 
9.0%
( 86
 
9.0%
5 84
 
8.8%
4 47
 
4.9%
S 42
 
4.4%
G 31
 
3.2%
1 12
 
1.3%
C 9
 
0.9%
Other values (44) 101
 
10.5%
Hangul
ValueCountFrequency (%)
점 302
 
6.7%
스 148
 
3.3%
영 138
 
3.1%
종 128
 
2.8%
이 118
 
2.6%
트 117
 
2.6%
마 109
 
2.4%
븐 107
 
2.4%
지 100
 
2.2%
인 100
 
2.2%
Other values (372) 3152
69.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

업소도로명주소
Text

Distinct580
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-04-17T19:06:49.130212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length50
Mean length32.431005
Min length17

Characters and Unicode

Total characters19037
Distinct characters336
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique575 ?
Unique (%)98.0%

Sample

1st row인천광역시 중구 서해대로 278. 1층 104호 (신흥동3가. 인천유림노르웨이숲에듀오션)
2nd row인천광역시 중구 두미포로 60. 101호 (중산동)
3rd row인천광역시 중구 영종대로196번길 15-30. 117호 (운서동)
4th row인천광역시 중구 소무의로 21 (무의동)
5th row인천광역시 중구 하늘달빛로 139. 777동 110호 (중산동. e편한세상 영종국제도시센텀베뉴)
ValueCountFrequency (%)
인천광역시 587
 
16.0%
중구 586
 
16.0%
운서동 141
 
3.8%
1층 117
 
3.2%
중산동 86
 
2.3%
운남동 41
 
1.1%
항동7가 41
 
1.1%
북성동1가 33
 
0.9%
을왕동 32
 
0.9%
신흥동3가 28
 
0.8%
Other values (948) 1976
53.9%
2024-04-17T19:06:49.513695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3214
 
16.9%
1 975
 
5.1%
중 721
 
3.8%
인 674
 
3.5%
동 664
 
3.5%
시 645
 
3.4%
천 633
 
3.3%
역 600
 
3.2%
광 594
 
3.1%
구 591
 
3.1%
Other values (326) 9726
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10746
56.4%
Decimal Number 3286
 
17.3%
Space Separator 3214
 
16.9%
Close Punctuation 540
 
2.8%
Open Punctuation 540
 
2.8%
Other Punctuation 496
 
2.6%
Dash Punctuation 126
 
0.7%
Uppercase Letter 72
 
0.4%
Lowercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 721
 
6.7%
인 674
 
6.3%
동 664
 
6.2%
시 645
 
6.0%
천 633
 
5.9%
역 600
 
5.6%
광 594
 
5.5%
구 591
 
5.5%
로 540
 
5.0%
운 284
 
2.6%
Other values (281) 4800
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
19.4%
A 9
12.5%
S 7
9.7%
K 6
8.3%
L 5
 
6.9%
C 5
 
6.9%
H 3
 
4.2%
I 3
 
4.2%
E 3
 
4.2%
G 3
 
4.2%
Other values (9) 14
19.4%
Decimal Number
ValueCountFrequency (%)
1 975
29.7%
2 462
14.1%
0 336
 
10.2%
3 329
 
10.0%
4 273
 
8.3%
7 202
 
6.1%
5 200
 
6.1%
6 194
 
5.9%
8 162
 
4.9%
9 153
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
y 2
16.7%
c 2
16.7%
i 1
 
8.3%
k 1
 
8.3%
s 1
 
8.3%
t 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 492
99.2%
/ 3
 
0.6%
＆ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 540
100.0%
Open Punctuation
ValueCountFrequency (%)
( 540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10744
56.4%
Common 8206
43.1%
Latin 85
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 721
 
6.7%
인 674
 
6.3%
동 664
 
6.2%
시 645
 
6.0%
천 633
 
5.9%
역 600
 
5.6%
광 594
 
5.5%
구 591
 
5.5%
로 540
 
5.0%
운 284
 
2.6%
Other values (279) 4798
44.7%
Latin
ValueCountFrequency (%)
B 14
16.5%
A 9
 
10.6%
S 7
 
8.2%
K 6
 
7.1%
L 5
 
5.9%
C 5
 
5.9%
e 4
 
4.7%
H 3
 
3.5%
I 3
 
3.5%
E 3
 
3.5%
Other values (17) 26
30.6%
Common
ValueCountFrequency (%)
3214
39.2%
1 975
 
11.9%
) 540
 
6.6%
( 540
 
6.6%
. 492
 
6.0%
2 462
 
5.6%
0 336
 
4.1%
3 329
 
4.0%
4 273
 
3.3%
7 202
 
2.5%
Other values (8) 843
 
10.3%
Han
ValueCountFrequency (%)
家 1
50.0%
名 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10744
56.4%
ASCII 8289
43.5%
CJK 2
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3214
38.8%
1 975
 
11.8%
) 540
 
6.5%
( 540
 
6.5%
. 492
 
5.9%
2 462
 
5.6%
0 336
 
4.1%
3 329
 
4.0%
4 273
 
3.3%
7 202
 
2.4%
Other values (33) 926
 
11.2%
Hangul
ValueCountFrequency (%)
중 721
 
6.7%
인 674
 
6.3%
동 664
 
6.2%
시 645
 
6.0%
천 633
 
5.9%
역 600
 
5.6%
광 594
 
5.5%
구 591
 
5.5%
로 540
 
5.0%
운 284
 
2.6%
Other values (279) 4798
44.7%
CJK
ValueCountFrequency (%)
家 1
50.0%
名 1
50.0%
None
ValueCountFrequency (%)
＆ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-07-31
587 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 587
100.0%

Length

2024-04-17T19:06:49.624654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:06:49.695698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 587
100.0%

Interactions

2024-04-17T19:06:47.592308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:06:49.740534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.675
민원구분0.6751.000
2024-04-17T19:06:49.806800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.437
민원구분0.4371.000

Missing values

2024-04-17T19:06:47.682301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:06:47.768467image/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

연번민원구분업소명업소도로명주소데이터기준일자
01제7조의3제2항에따른경우씨유 인천노르웨이숲점인천광역시 중구 서해대로 278. 1층 104호 (신흥동3가. 인천유림노르웨이숲에듀오션)2023-07-31
12제7조의3제2항에따른경우프리메라전자담배인천광역시 중구 두미포로 60. 101호 (중산동)2023-07-31
23제7조의3제2항에따른경우세븐일레븐 영종센트럴시티점인천광역시 중구 영종대로196번길 15-30. 117호 (운서동)2023-07-31
34제7조의3제2항에따른경우고향슈퍼인천광역시 중구 소무의로 21 (무의동)2023-07-31
45제7조의3제2항에따른경우씨유 영종센텀베뉴점인천광역시 중구 하늘달빛로 139. 777동 110호 (중산동. e편한세상 영종국제도시센텀베뉴)2023-07-31
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