Overview

Dataset statistics

Number of variables3
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory26.5 B

Variable types

Numeric1
Text2

Dataset

Description충청남도 아산시 고압가스 저장설비 허가에 따른 설치 현황에 대한 데이터로 법인명(상호), 사업 소재지 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=416&beforeMenuCd=DOM_000000201001001000&publicdatapk=15029777

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:17:59.657637
Analysis finished2024-01-09 23:18:00.137427
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-01-10T08:18:00.208189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2024-01-10T08:18:00.350569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
Distinct59
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T08:18:00.594105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.8977273
Min length5

Characters and Unicode

Total characters783
Distinct characters145
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)54.5%

Sample

1st row(주)케이엔제이
2nd row(주)경보제약
3rd row주식회사 고산
4th row(주)원익아이피에스
5th row(주)성건기업
ValueCountFrequency (%)
삼성디스플레이(주 16
 
16.2%
삼성전자(주 5
 
5.1%
주식회사 3
 
3.0%
주)동희 3
 
3.0%
주)나스테크 2
 
2.0%
현대자동차(주 2
 
2.0%
유성기업(주 2
 
2.0%
프렉스에어코리아(주 2
 
2.0%
2
 
2.0%
주)경보제약 2
 
2.0%
Other values (57) 60
60.6%
2024-01-10T08:18:00.923087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
10.6%
( 80
 
10.2%
) 80
 
10.2%
34
 
4.3%
31
 
4.0%
26
 
3.3%
25
 
3.2%
20
 
2.6%
18
 
2.3%
17
 
2.2%
Other values (135) 369
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
77.3%
Open Punctuation 80
 
10.2%
Close Punctuation 80
 
10.2%
Space Separator 11
 
1.4%
Decimal Number 3
 
0.4%
Other Symbol 2
 
0.3%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
83
 
13.7%
34
 
5.6%
31
 
5.1%
26
 
4.3%
25
 
4.1%
20
 
3.3%
18
 
3.0%
17
 
2.8%
17
 
2.8%
16
 
2.6%
Other values (126) 318
52.6%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
7 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
77.5%
Common 176
 
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
83
 
13.7%
34
 
5.6%
31
 
5.1%
26
 
4.3%
25
 
4.1%
20
 
3.3%
18
 
3.0%
17
 
2.8%
17
 
2.8%
16
 
2.6%
Other values (127) 320
52.7%
Common
ValueCountFrequency (%)
( 80
45.5%
) 80
45.5%
11
 
6.2%
2 1
 
0.6%
8 1
 
0.6%
, 1
 
0.6%
7 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
77.3%
ASCII 176
 
22.5%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
83
 
13.7%
34
 
5.6%
31
 
5.1%
26
 
4.3%
25
 
4.1%
20
 
3.3%
18
 
3.0%
17
 
2.8%
17
 
2.8%
16
 
2.6%
Other values (126) 318
52.6%
ASCII
ValueCountFrequency (%)
( 80
45.5%
) 80
45.5%
11
 
6.2%
2 1
 
0.6%
8 1
 
0.6%
, 1
 
0.6%
7 1
 
0.6%
- 1
 
0.6%
None
ValueCountFrequency (%)
2
100.0%
Distinct66
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T08:18:01.190248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length22.636364
Min length19

Characters and Unicode

Total characters1992
Distinct characters111
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

Unique56 ?
Unique (%)63.6%

Sample

1st row충청남도 아산시 음봉면 산동리 아산스마트밸리 일반산업단지 A4-3, A4-4
2nd row충청남도 아산시 실옥동 345-6
3rd row충청남도 아산시 영인면 신봉리 161-2
4th row충청남도 아산시 둔포면 아산밸리중앙로 123
5th row충청남도 아산시 음봉면 쌍암리 26-26
ValueCountFrequency (%)
충청남도 88
19.7%
아산시 88
19.7%
탕정면 23
 
5.2%
둔포면 19
 
4.3%
삼성로 13
 
2.9%
음봉면 13
 
2.9%
181 12
 
2.7%
인주면 9
 
2.0%
인주산단로 6
 
1.3%
영인면 5
 
1.1%
Other values (115) 170
38.1%
2024-01-10T08:18:01.553257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
18.6%
116
 
5.8%
102
 
5.1%
94
 
4.7%
90
 
4.5%
89
 
4.5%
89
 
4.5%
88
 
4.4%
1 80
 
4.0%
79
 
4.0%
Other values (101) 794
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1255
63.0%
Space Separator 371
 
18.6%
Decimal Number 316
 
15.9%
Dash Punctuation 30
 
1.5%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Uppercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
9.2%
102
 
8.1%
94
 
7.5%
90
 
7.2%
89
 
7.1%
89
 
7.1%
88
 
7.0%
79
 
6.3%
70
 
5.6%
31
 
2.5%
Other values (85) 407
32.4%
Decimal Number
ValueCountFrequency (%)
1 80
25.3%
8 39
12.3%
2 39
12.3%
5 32
 
10.1%
3 29
 
9.2%
4 26
 
8.2%
7 23
 
7.3%
0 22
 
7.0%
6 20
 
6.3%
9 6
 
1.9%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
63.0%
Common 734
36.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
9.2%
102
 
8.1%
94
 
7.5%
90
 
7.2%
89
 
7.1%
89
 
7.1%
88
 
7.0%
79
 
6.3%
70
 
5.6%
31
 
2.5%
Other values (85) 407
32.4%
Common
ValueCountFrequency (%)
371
50.5%
1 80
 
10.9%
8 39
 
5.3%
2 39
 
5.3%
5 32
 
4.4%
- 30
 
4.1%
3 29
 
4.0%
4 26
 
3.5%
7 23
 
3.1%
0 22
 
3.0%
Other values (5) 43
 
5.9%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1255
63.0%
ASCII 737
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
50.3%
1 80
 
10.9%
8 39
 
5.3%
2 39
 
5.3%
5 32
 
4.3%
- 30
 
4.1%
3 29
 
3.9%
4 26
 
3.5%
7 23
 
3.1%
0 22
 
3.0%
Other values (6) 46
 
6.2%
Hangul
ValueCountFrequency (%)
116
 
9.2%
102
 
8.1%
94
 
7.5%
90
 
7.2%
89
 
7.1%
89
 
7.1%
88
 
7.0%
79
 
6.3%
70
 
5.6%
31
 
2.5%
Other values (85) 407
32.4%

Interactions

2024-01-10T08:17:59.966640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:18:01.634141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인명(상호)사업소소재지
순번1.0000.8030.862
법인명(상호)0.8031.0001.000
사업소소재지0.8621.0001.000

Missing values

2024-01-10T08:18:00.049202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:18:00.112041image/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

순번법인명(상호)사업소소재지
01(주)케이엔제이충청남도 아산시 음봉면 산동리 아산스마트밸리 일반산업단지 A4-3, A4-4
12(주)경보제약충청남도 아산시 실옥동 345-6
23주식회사 고산충청남도 아산시 영인면 신봉리 161-2
34(주)원익아이피에스충청남도 아산시 둔포면 아산밸리중앙로 123
45(주)성건기업충청남도 아산시 음봉면 쌍암리 26-26
56하나머티리얼즈(주) 아산사업장충청남도 아산시 음봉면 연암율금로 77-24
67(주)발맥스기술충청남도 아산시 둔포면 석곡리 2042
78삼성디스플레이(주)충청남도 아산시 탕정면 명암리 아산디스플레이시티2 일반산업단지 A1블럭
89(주)삼원열처리충청남도 아산시 둔포면 석곡리 1957
910(주)테크윙충청남도 아산시 음봉면 신휴리 777
순번법인명(상호)사업소소재지
7879삼성전자(주)충청남도 아산시 배방읍 배방로 158
7980동원금속(주)충청남도 아산시 음봉면 소동리 12-6
8081디젠스(주)충청남도 아산시 음봉면 연암율금로 288-7
8182(주)농심충청남도 아산시 탕정면 탕정면로 485
8283(주)수산씨에스엠충청남도 아산시 음봉면 월암로 365
8384신광 전기(주)충청남도 아산시 음봉면 음봉로586번길 41-42
8485㈜세움 아산지점충청남도 아산시 인주면 인주산단로 75-81
8586(주)포인트엔지니어링충청남도 아산시 둔포면 운용리 670
8687하나머티리얼즈㈜ 아산2공장충청남도 아산시 음봉면 소동리 558
8788에드워드코리아충청남도 아산시 탕정면 갈산리 821