Overview

Dataset statistics

Number of variables4
Number of observations441
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Text1
DateTime2

Dataset

Description대전광역시 지역의 정보통신공사업체 현황 정보에 대한 데이터로 상호, 등록일자, 최종수정일 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15046183/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:46:03.804249
Analysis finished2023-12-12 17:46:04.294492
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct441
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221
Minimum1
Maximum441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:46:04.408389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q1111
median221
Q3331
95-th percentile419
Maximum441
Range440
Interquartile range (IQR)220

Descriptive statistics

Standard deviation127.44999
Coefficient of variation (CV)0.57669679
Kurtosis-1.2
Mean221
Median Absolute Deviation (MAD)110
Skewness0
Sum97461
Variance16243.5
MonotonicityStrictly increasing
2023-12-13T02:46:04.571156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (431) 431
97.7%
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 (%)
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%

상호
Text

Distinct439
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-13T02:46:04.780006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length9.1655329
Min length4

Characters and Unicode

Total characters4042
Distinct characters305
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)99.1%

Sample

1st row주식회사 대박종합시스템
2nd row모던테크
3rd row이루다플래닛 주식회사
4th row주식회사 디에이치앤테크
5th row주식회사 바스텍
ValueCountFrequency (%)
주식회사 209
31.3%
베스트 2
 
0.3%
대방지 2
 
0.3%
co.,ltd 2
 
0.3%
글로벌넷 2
 
0.3%
새빛기술(주 1
 
0.1%
주)미래온 1
 
0.1%
주)케이티씨에스 1
 
0.1%
더아미 1
 
0.1%
에이스기전(주 1
 
0.1%
Other values (445) 445
66.7%
2023-12-13T02:46:05.154393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 420
 
10.4%
226
 
5.6%
사 224
 
5.5%
( 219
 
5.4%
) 217
 
5.4%
회 214
 
5.3%
식 212
 
5.2%
이 147
 
3.6%
스 122
 
3.0%
신 89
 
2.2%
Other values (295) 1952
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3278
81.1%
Space Separator 226
 
5.6%
Open Punctuation 219
 
5.4%
Close Punctuation 217
 
5.4%
Lowercase Letter 51
 
1.3%
Uppercase Letter 39
 
1.0%
Other Punctuation 9
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 420
 
12.8%
사 224
 
6.8%
회 214
 
6.5%
식 212
 
6.5%
이 147
 
4.5%
스 122
 
3.7%
신 89
 
2.7%
보 78
 
2.4%
정 77
 
2.3%
통 77
 
2.3%
Other values (253) 1618
49.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.4%
N 4
10.3%
O 4
10.3%
S 4
10.3%
D 3
7.7%
T 3
7.7%
L 2
 
5.1%
U 2
 
5.1%
A 2
 
5.1%
K 2
 
5.1%
Other values (7) 7
17.9%
Lowercase Letter
ValueCountFrequency (%)
t 5
9.8%
a 5
9.8%
o 5
9.8%
e 4
 
7.8%
n 4
 
7.8%
i 4
 
7.8%
b 4
 
7.8%
d 3
 
5.9%
s 3
 
5.9%
r 3
 
5.9%
Other values (7) 11
21.6%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
3 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 2
 
22.2%
Space Separator
ValueCountFrequency (%)
226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3278
81.1%
Common 674
 
16.7%
Latin 90
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 420
 
12.8%
사 224
 
6.8%
회 214
 
6.5%
식 212
 
6.5%
이 147
 
4.5%
스 122
 
3.7%
신 89
 
2.7%
보 78
 
2.4%
정 77
 
2.3%
통 77
 
2.3%
Other values (253) 1618
49.4%
Latin
ValueCountFrequency (%)
C 6
 
6.7%
t 5
 
5.6%
a 5
 
5.6%
o 5
 
5.6%
N 4
 
4.4%
O 4
 
4.4%
S 4
 
4.4%
e 4
 
4.4%
n 4
 
4.4%
i 4
 
4.4%
Other values (24) 45
50.0%
Common
ValueCountFrequency (%)
226
33.5%
( 219
32.5%
) 217
32.2%
. 7
 
1.0%
, 2
 
0.3%
1 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3278
81.1%
ASCII 764
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 420
 
12.8%
사 224
 
6.8%
회 214
 
6.5%
식 212
 
6.5%
이 147
 
4.5%
스 122
 
3.7%
신 89
 
2.7%
보 78
 
2.4%
정 77
 
2.3%
통 77
 
2.3%
Other values (253) 1618
49.4%
ASCII
ValueCountFrequency (%)
226
29.6%
( 219
28.7%
) 217
28.4%
. 7
 
0.9%
C 6
 
0.8%
t 5
 
0.7%
a 5
 
0.7%
o 5
 
0.7%
N 4
 
0.5%
O 4
 
0.5%
Other values (32) 66
 
8.6%

등록일자
Date

Distinct407
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1986-07-23 00:00:00
Maximum2023-03-09 00:00:00
2023-12-13T02:46:05.300468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:05.479365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종수정일
Date

Distinct372
Distinct (%)85.1%
Missing4
Missing (%)0.9%
Memory size3.6 KiB
Minimum2012-03-26 00:00:00
Maximum2023-03-09 00:00:00
2023-12-13T02:46:05.608886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:46:05.735969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T02:46:03.983583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:46:04.097779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:46:04.240494image/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

순번상호등록일자최종수정일
01주식회사 대박종합시스템2023-03-092023-03-09
12모던테크2023-03-082023-03-08
23이루다플래닛 주식회사2023-03-072023-03-08
34주식회사 디에이치앤테크2023-01-182023-01-18
45주식회사 바스텍2022-12-222022-12-22
56주식회사 아이티밴드(itband Co.,Ltd.)2022-12-152022-12-15
67주식회사 휘스커(Whisker Inc.)2022-11-232022-11-23
78세중전력 주식회사2022-11-212022-11-21
89알파네트웍스2022-11-102022-11-10
910케이폴 주식회사2022-11-032022-11-03
순번상호등록일자최종수정일
431432코어네트웍스(주)1991-10-102017-07-21
432433(합)일육1991-10-102013-10-15
433434(유)세원정보통신1991-10-102022-05-18
434435(주)광전자통신1991-10-102020-09-04
435436중앙통신(주)1991-10-102013-10-11
436437대신네트웍스(주)1991-10-102018-02-08
437438세종솔루텍 주식회사1991-03-252022-12-27
438439한일통신(주)1990-09-072022-04-15
439440주식회사 협신1990-01-102017-02-13
440441태양넷콤(주)1986-07-232021-07-07