Overview

Dataset statistics

Number of variables4
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대전광역시 대덕구의 소독업소현황에 대한 데이터로 소독업소명, 소재지도로명주소 등의 항목을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15080472/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
소독업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:49:03.077554
Analysis finished2023-12-12 18:49:03.709420
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T03:49:03.822766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-13T03:49:04.034066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

소독업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T03:49:04.406930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length6.7857143
Min length3

Characters and Unicode

Total characters380
Distinct characters124
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row주식회사 크린데이
2nd row주식회사 에스디크린텍
3rd row그린에코
4th row에코원
5th row(주)창대크린환경
ValueCountFrequency (%)
주식회사 4
 
6.2%
세종 1
 
1.6%
에스지기술환경산업(주 1
 
1.6%
세기방역 1
 
1.6%
주)세미환경 1
 
1.6%
크로스파워주식회사 1
 
1.6%
버그킬 1
 
1.6%
금강그린텍 1
 
1.6%
대륭개발주식회사 1
 
1.6%
세기위생방역 1
 
1.6%
Other values (51) 51
79.7%
2023-12-13T03:49:04.951332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
6.8%
사 22
 
5.8%
회 19
 
5.0%
식 18
 
4.7%
린 12
 
3.2%
세 9
 
2.4%
이 8
 
2.1%
) 8
 
2.1%
( 8
 
2.1%
8
 
2.1%
Other values (114) 242
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
92.6%
Close Punctuation 8
 
2.1%
Open Punctuation 8
 
2.1%
Space Separator 8
 
2.1%
Uppercase Letter 3
 
0.8%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
7.4%
사 22
 
6.2%
회 19
 
5.4%
식 18
 
5.1%
린 12
 
3.4%
세 9
 
2.6%
이 8
 
2.3%
리 7
 
2.0%
방 7
 
2.0%
경 7
 
2.0%
Other values (107) 217
61.6%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
A 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
92.9%
Common 24
 
6.3%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
7.4%
사 22
 
6.2%
회 19
 
5.4%
식 18
 
5.1%
린 12
 
3.4%
세 9
 
2.5%
이 8
 
2.3%
리 7
 
2.0%
방 7
 
2.0%
경 7
 
2.0%
Other values (108) 218
61.8%
Common
ValueCountFrequency (%)
) 8
33.3%
( 8
33.3%
8
33.3%
Latin
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
92.6%
ASCII 27
 
7.1%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
7.4%
사 22
 
6.2%
회 19
 
5.4%
식 18
 
5.1%
린 12
 
3.4%
세 9
 
2.6%
이 8
 
2.3%
리 7
 
2.0%
방 7
 
2.0%
경 7
 
2.0%
Other values (107) 217
61.6%
ASCII
ValueCountFrequency (%)
) 8
29.6%
( 8
29.6%
8
29.6%
E 1
 
3.7%
C 1
 
3.7%
A 1
 
3.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T03:49:05.390329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length31.339286
Min length22

Characters and Unicode

Total characters1755
Distinct characters97
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

Unique54 ?
Unique (%)96.4%

Sample

1st row대전광역시 대덕구 대덕대로 1486번길 29, 2층 (목상동)
2nd row대전광역시 대덕구 대전로 1090, 2층 (오정동)
3rd row대전광역시 대덕구 덕암북로22번길 89-9, 1층 (덕암동)
4th row대전광역시 대덕구 대덕대로 1586, 2층 (석봉동)
5th row대전광역시 대덕구 대전로 1064, 3층 305호 (오정동)
ValueCountFrequency (%)
대전광역시 56
 
16.1%
대덕구 56
 
16.1%
오정동 16
 
4.6%
2층 16
 
4.6%
대화동 9
 
2.6%
대화로 7
 
2.0%
160 6
 
1.7%
대전로 6
 
1.7%
1층 6
 
1.7%
3층 5
 
1.4%
Other values (124) 164
47.3%
2023-12-13T03:49:06.040437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
16.7%
대 154
 
8.8%
동 74
 
4.2%
덕 68
 
3.9%
1 65
 
3.7%
전 64
 
3.6%
시 56
 
3.2%
역 56
 
3.2%
( 56
 
3.2%
구 56
 
3.2%
Other values (87) 813
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
57.1%
Decimal Number 306
 
17.4%
Space Separator 293
 
16.7%
Open Punctuation 56
 
3.2%
Close Punctuation 56
 
3.2%
Other Punctuation 38
 
2.2%
Dash Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 154
15.4%
동 74
 
7.4%
덕 68
 
6.8%
전 64
 
6.4%
시 56
 
5.6%
역 56
 
5.6%
구 56
 
5.6%
광 56
 
5.6%
로 53
 
5.3%
길 32
 
3.2%
Other values (71) 333
33.2%
Decimal Number
ValueCountFrequency (%)
1 65
21.2%
2 53
17.3%
0 39
12.7%
3 31
10.1%
4 29
9.5%
6 23
 
7.5%
7 23
 
7.5%
8 18
 
5.9%
9 14
 
4.6%
5 11
 
3.6%
Space Separator
ValueCountFrequency (%)
293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
57.1%
Common 752
42.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 154
15.4%
동 74
 
7.4%
덕 68
 
6.8%
전 64
 
6.4%
시 56
 
5.6%
역 56
 
5.6%
구 56
 
5.6%
광 56
 
5.6%
로 53
 
5.3%
길 32
 
3.2%
Other values (71) 333
33.2%
Common
ValueCountFrequency (%)
293
39.0%
1 65
 
8.6%
( 56
 
7.4%
) 56
 
7.4%
2 53
 
7.0%
0 39
 
5.2%
, 38
 
5.1%
3 31
 
4.1%
4 29
 
3.9%
6 23
 
3.1%
Other values (5) 69
 
9.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
57.1%
ASCII 753
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
38.9%
1 65
 
8.6%
( 56
 
7.4%
) 56
 
7.4%
2 53
 
7.0%
0 39
 
5.2%
, 38
 
5.0%
3 31
 
4.1%
4 29
 
3.9%
6 23
 
3.1%
Other values (6) 70
 
9.3%
Hangul
ValueCountFrequency (%)
대 154
15.4%
동 74
 
7.4%
덕 68
 
6.8%
전 64
 
6.4%
시 56
 
5.6%
역 56
 
5.6%
구 56
 
5.6%
광 56
 
5.6%
로 53
 
5.3%
길 32
 
3.2%
Other values (71) 333
33.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-05-22
56 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-22
2nd row2023-05-22
3rd row2023-05-22
4th row2023-05-22
5th row2023-05-22

Common Values

ValueCountFrequency (%)
2023-05-22 56
100.0%

Length

2023-12-13T03:49:06.253121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:49:06.422858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-22 56
100.0%

Interactions

2023-12-13T03:49:03.342057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:49:06.523938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소독업소명소재지도로명주소
번호1.0001.0000.946
소독업소명1.0001.0001.000
소재지도로명주소0.9461.0001.000

Missing values

2023-12-13T03:49:03.504338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:49:03.637905image/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

번호소독업소명소재지도로명주소데이터기준일자
01주식회사 크린데이대전광역시 대덕구 대덕대로 1486번길 29, 2층 (목상동)2023-05-22
12주식회사 에스디크린텍대전광역시 대덕구 대전로 1090, 2층 (오정동)2023-05-22
23그린에코대전광역시 대덕구 덕암북로22번길 89-9, 1층 (덕암동)2023-05-22
34에코원대전광역시 대덕구 대덕대로 1586, 2층 (석봉동)2023-05-22
45(주)창대크린환경대전광역시 대덕구 대전로 1064, 3층 305호 (오정동)2023-05-22
56로취사이언스대전광역시 대덕구 한밭대로988번길 89, 2층 (오정동)2023-05-22
67주식회사 에이치케이대전광역시 대덕구 선비마을로 7, 102호 (송촌동)2023-05-22
78클린세상대전광역시 대덕구 계족로608번길 47-7 (법동)2023-05-22
89ACE위생방역대전광역시 대덕구 대화로 160, 산업용재유통상가 10동 3층 303호 (대화동)2023-05-22
910정성담은 식판대전광역시 대덕구 대덕대로1448번길 113 (목상동)2023-05-22
번호소독업소명소재지도로명주소데이터기준일자
4647투인시스템대전광역시 대덕구 대화로 160, 산업용재유통상가 3동 3층 307호 (대화동)2023-05-22
4748주식회사새한환경대전광역시 대덕구 비래동로24번길 4 (비래동)2023-05-22
4849주식회사엔코아대전광역시 대덕구 동춘당로15번길 15, 106동 1층 102호 (송촌동, 거상파크빌라)2023-05-22
4950한국보건공사대전광역시 대덕구 오정로42번길 61 (오정동)2023-05-22
5051㈜코리아환경산업대전광역시 대덕구 동심5길 3, 1층 (대화동)2023-05-22
5152영웅클린대전광역시 대덕구 중리남로27번길 12 (중리동)2023-05-22
5253한국방역대전광역시 대덕구 대화로 160, 산업용재유통상가 7동 2층 214호 (대화동)2023-05-22
5354더부룸대전광역시 대덕구 동춘당로52번길 14, 101호 (송촌동)2023-05-22
5455(주)해피관리산업대전광역시 대덕구 우암로412번길 27, 1층 (비래동)2023-05-22
5556피엠텍대전광역시 대덕구 선비마을로5번길 10, 2층 201호 (송촌동)2023-05-22