Overview

Dataset statistics

Number of variables4
Number of observations362
Missing cells5
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory33.4 B

Variable types

Numeric1
DateTime1
Text2

Dataset

Description인천광역시 서구 내의 출판사 현황 (신고일자, 사업체명칭, 사업체소재지(도로명)) 정보에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039949&srcSe=7661IVAWM27C61E190

Reproduction

Analysis started2024-01-28 12:03:45.875484
Analysis finished2024-01-28 12:03:46.425592
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct361
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean181
Minimum1
Maximum361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T21:03:46.487351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q191
median181
Q3271
95-th percentile343
Maximum361
Range360
Interquartile range (IQR)180

Descriptive statistics

Standard deviation104.35596
Coefficient of variation (CV)0.57655227
Kurtosis-1.2
Mean181
Median Absolute Deviation (MAD)90
Skewness0
Sum65341
Variance10890.167
MonotonicityStrictly increasing
2024-01-28T21:03:46.607629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
Other values (351) 351
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%

신고일자
Date

Distinct331
Distinct (%)91.7%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
Minimum1996-01-30 00:00:00
Maximum2023-08-24 00:00:00
2024-01-28T21:03:46.726921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:03:46.874249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업체명칭
Text

Distinct358
Distinct (%)99.2%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2024-01-28T21:03:47.120137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length6.8310249
Min length2

Characters and Unicode

Total characters2466
Distinct characters427
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique355 ?
Unique (%)98.3%

Sample

1st row도서출판부루나
2nd row네오프린트
3rd row(재)인천발전연구원
4th row도서출판 햇빛
5th row도서출판 인성
ValueCountFrequency (%)
도서출판 43
 
8.3%
주식회사 23
 
4.4%
출판사 5
 
1.0%
the 4
 
0.8%
media 2
 
0.4%
미디어 2
 
0.4%
사람들 2
 
0.4%
디자인 2
 
0.4%
이레교육 2
 
0.4%
주)스톰앤 2
 
0.4%
Other values (431) 433
83.3%
2024-01-28T21:03:47.490865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
 
6.4%
스 66
 
2.7%
판 61
 
2.5%
출 61
 
2.5%
이 57
 
2.3%
사 57
 
2.3%
도 55
 
2.2%
서 53
 
2.1%
주 48
 
1.9%
( 42
 
1.7%
Other values (417) 1807
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1852
75.1%
Lowercase Letter 210
 
8.5%
Space Separator 159
 
6.4%
Uppercase Letter 146
 
5.9%
Open Punctuation 42
 
1.7%
Close Punctuation 42
 
1.7%
Decimal Number 11
 
0.4%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 66
 
3.6%
판 61
 
3.3%
출 61
 
3.3%
이 57
 
3.1%
사 57
 
3.1%
도 55
 
3.0%
서 53
 
2.9%
주 48
 
2.6%
디 36
 
1.9%
회 30
 
1.6%
Other values (360) 1328
71.7%
Lowercase Letter
ValueCountFrequency (%)
e 29
13.8%
o 19
 
9.0%
a 19
 
9.0%
i 18
 
8.6%
n 13
 
6.2%
r 13
 
6.2%
s 11
 
5.2%
t 10
 
4.8%
l 10
 
4.8%
d 10
 
4.8%
Other values (12) 58
27.6%
Uppercase Letter
ValueCountFrequency (%)
T 16
 
11.0%
E 15
 
10.3%
R 12
 
8.2%
A 11
 
7.5%
B 10
 
6.8%
N 10
 
6.8%
P 8
 
5.5%
G 8
 
5.5%
M 7
 
4.8%
O 7
 
4.8%
Other values (12) 42
28.8%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
8 2
18.2%
6 1
 
9.1%
3 1
 
9.1%
5 1
 
9.1%
7 1
 
9.1%
2 1
 
9.1%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1851
75.1%
Latin 356
 
14.4%
Common 258
 
10.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 66
 
3.6%
판 61
 
3.3%
출 61
 
3.3%
이 57
 
3.1%
사 57
 
3.1%
도 55
 
3.0%
서 53
 
2.9%
주 48
 
2.6%
디 36
 
1.9%
회 30
 
1.6%
Other values (359) 1327
71.7%
Latin
ValueCountFrequency (%)
e 29
 
8.1%
o 19
 
5.3%
a 19
 
5.3%
i 18
 
5.1%
T 16
 
4.5%
E 15
 
4.2%
n 13
 
3.7%
r 13
 
3.7%
R 12
 
3.4%
s 11
 
3.1%
Other values (34) 191
53.7%
Common
ValueCountFrequency (%)
159
61.6%
( 42
 
16.3%
) 42
 
16.3%
& 3
 
1.2%
0 3
 
1.2%
8 2
 
0.8%
6 1
 
0.4%
3 1
 
0.4%
5 1
 
0.4%
7 1
 
0.4%
Other values (3) 3
 
1.2%
Han
ValueCountFrequency (%)
詩 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1851
75.1%
ASCII 614
 
24.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
25.9%
( 42
 
6.8%
) 42
 
6.8%
e 29
 
4.7%
o 19
 
3.1%
a 19
 
3.1%
i 18
 
2.9%
T 16
 
2.6%
E 15
 
2.4%
n 13
 
2.1%
Other values (47) 242
39.4%
Hangul
ValueCountFrequency (%)
스 66
 
3.6%
판 61
 
3.3%
출 61
 
3.3%
이 57
 
3.1%
사 57
 
3.1%
도 55
 
3.0%
서 53
 
2.9%
주 48
 
2.6%
디 36
 
1.9%
회 30
 
1.6%
Other values (359) 1327
71.7%
CJK
ValueCountFrequency (%)
詩 1
100.0%

사업체소재지(도로명)
Text

Distinct220
Distinct (%)61.1%
Missing2
Missing (%)0.6%
Memory size3.0 KiB
2024-01-28T21:03:47.701469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length15.313889
Min length12

Characters and Unicode

Total characters5513
Distinct characters132
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)40.8%

Sample

1st row인천광역시 서구 원적로
2nd row인천광역시 서구 거북로
3rd row인천광역시 서구 심곡로
4th row인천광역시 서구 새오개로
5th row인천광역시 서구 용두산로13번길
ValueCountFrequency (%)
인천광역시 360
33.3%
서구 360
33.3%
검단로 16
 
1.5%
청라에메랄드로 10
 
0.9%
완정로 8
 
0.7%
봉오재3로 8
 
0.7%
청라커낼로 8
 
0.7%
가정로 7
 
0.6%
승학로 7
 
0.6%
이음1로 6
 
0.6%
Other values (170) 292
27.0%
2024-01-28T21:03:48.055820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
866
15.7%
서 383
 
6.9%
로 364
 
6.6%
천 363
 
6.6%
구 360
 
6.5%
인 360
 
6.5%
시 360
 
6.5%
역 360
 
6.5%
광 360
 
6.5%
길 177
 
3.2%
Other values (122) 1560
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4171
75.7%
Space Separator 866
 
15.7%
Decimal Number 475
 
8.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 383
9.2%
로 364
 
8.7%
천 363
 
8.7%
구 360
 
8.6%
인 360
 
8.6%
시 360
 
8.6%
역 360
 
8.6%
광 360
 
8.6%
길 177
 
4.2%
번 170
 
4.1%
Other values (110) 914
21.9%
Decimal Number
ValueCountFrequency (%)
1 81
17.1%
3 64
13.5%
4 59
12.4%
2 55
11.6%
0 51
10.7%
8 47
9.9%
6 38
8.0%
5 33
6.9%
9 28
 
5.9%
7 19
 
4.0%
Space Separator
ValueCountFrequency (%)
866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4171
75.7%
Common 1342
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 383
9.2%
로 364
 
8.7%
천 363
 
8.7%
구 360
 
8.6%
인 360
 
8.6%
시 360
 
8.6%
역 360
 
8.6%
광 360
 
8.6%
길 177
 
4.2%
번 170
 
4.1%
Other values (110) 914
21.9%
Common
ValueCountFrequency (%)
866
64.5%
1 81
 
6.0%
3 64
 
4.8%
4 59
 
4.4%
2 55
 
4.1%
0 51
 
3.8%
8 47
 
3.5%
6 38
 
2.8%
5 33
 
2.5%
9 28
 
2.1%
Other values (2) 20
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4171
75.7%
ASCII 1342
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
866
64.5%
1 81
 
6.0%
3 64
 
4.8%
4 59
 
4.4%
2 55
 
4.1%
0 51
 
3.8%
8 47
 
3.5%
6 38
 
2.8%
5 33
 
2.5%
9 28
 
2.1%
Other values (2) 20
 
1.5%
Hangul
ValueCountFrequency (%)
서 383
9.2%
로 364
 
8.7%
천 363
 
8.7%
구 360
 
8.6%
인 360
 
8.6%
시 360
 
8.6%
역 360
 
8.6%
광 360
 
8.6%
길 177
 
4.2%
번 170
 
4.1%
Other values (110) 914
21.9%

Interactions

2024-01-28T21:03:46.119676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T21:03:46.218140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:03:46.296865image/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.
2024-01-28T21:03:46.376210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번신고일자사업체명칭사업체소재지(도로명)
011996-01-30도서출판부루나인천광역시 서구 원적로
121998-12-26네오프린트인천광역시 서구 거북로
232001-05-29(재)인천발전연구원인천광역시 서구 심곡로
342002-03-25도서출판 햇빛인천광역시 서구 새오개로
452002-05-20도서출판 인성인천광역시 서구 용두산로13번길
562004-07-06사과나무인천광역시 서구 원창로
672006-04-24도서출판 이에스케이인천광역시 서구 가석로
782006-05-11보아스넷인천광역시 서구 거북로
892006-05-22종이심장인천광역시 서구 고산로
9102007-02-01도서출판 장자골인천광역시 서구 고래울로24번길
연번신고일자사업체명칭사업체소재지(도로명)
3523532019-01-03도서출판 작은씨앗인천광역시 서구 검단로
3533542018-08-09청설미디어인천광역시 서구 독정로
3543552023-07-26Park books인천광역시 서구 이음1로
3553562023-07-26LEKKER(레커)인천광역시 서구 검암로10번길
3563572023-07-26피크타임인천광역시 서구 청마로34번길
3573582023-07-31KOREANA인천광역시 서구 봉오대로318번길
3583592023-08-03대마중국어인천광역시 서구 이음1로
3593602023-08-24토리의꿈인천광역시 서구 여우재로
3603612023-08-24블래터(BLATTER)인천광역시 서구 고래울로43번길
361<NA><NA><NA><NA>