Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 중구 소독업소 현황에 대한 데이터로 소독업소명, 사무실소재지(도로명), 전화번호 등의 항목을 제공합니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15106691&srcSe=7661IVAWM27C61E190

Alerts

영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
영업소전화번호 has 2 (4.7%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:46:10.499651
Analysis finished2024-01-28 09:46:10.946506
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-28T18:46:11.008863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-01-28T18:46:11.105870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업중
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
100.0%

Length

2024-01-28T18:46:11.195347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:46:11.485197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
100.0%

소독업소명칭
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-28T18:46:11.635151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.6046512
Min length4

Characters and Unicode

Total characters327
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row(주)명륜
2nd row일도재활관
3rd row청소박사그린
4th row영화이앤알(주)
5th row주식회사브이에스물류
ValueCountFrequency (%)
주식회사 7
 
13.2%
주)명륜 1
 
1.9%
다잡아 1
 
1.9%
자인스 1
 
1.9%
한성환경 1
 
1.9%
그린온 1
 
1.9%
대아 1
 
1.9%
bio 1
 
1.9%
clean 1
 
1.9%
미래종합관리 1
 
1.9%
Other values (37) 37
69.8%
2024-01-28T18:46:11.905347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
8.3%
( 17
 
5.2%
) 17
 
5.2%
사 12
 
3.7%
스 11
 
3.4%
10
 
3.1%
이 10
 
3.1%
회 9
 
2.8%
식 9
 
2.8%
린 7
 
2.1%
Other values (122) 198
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
82.9%
Open Punctuation 17
 
5.2%
Close Punctuation 17
 
5.2%
Space Separator 10
 
3.1%
Lowercase Letter 6
 
1.8%
Uppercase Letter 4
 
1.2%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
10.0%
사 12
 
4.4%
스 11
 
4.1%
이 10
 
3.7%
회 9
 
3.3%
식 9
 
3.3%
린 7
 
2.6%
경 6
 
2.2%
아 6
 
2.2%
리 6
 
2.2%
Other values (108) 168
62.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
16.7%
a 1
16.7%
e 1
16.7%
l 1
16.7%
o 1
16.7%
i 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
S 1
25.0%
B 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
＆ 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
82.9%
Common 46
 
14.1%
Latin 10
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
10.0%
사 12
 
4.4%
스 11
 
4.1%
이 10
 
3.7%
회 9
 
3.3%
식 9
 
3.3%
린 7
 
2.6%
경 6
 
2.2%
아 6
 
2.2%
리 6
 
2.2%
Other values (108) 168
62.0%
Latin
ValueCountFrequency (%)
C 2
20.0%
S 1
10.0%
n 1
10.0%
a 1
10.0%
e 1
10.0%
l 1
10.0%
o 1
10.0%
i 1
10.0%
B 1
10.0%
Common
ValueCountFrequency (%)
( 17
37.0%
) 17
37.0%
10
21.7%
＆ 1
 
2.2%
2 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
82.9%
ASCII 55
 
16.8%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
10.0%
사 12
 
4.4%
스 11
 
4.1%
이 10
 
3.7%
회 9
 
3.3%
식 9
 
3.3%
린 7
 
2.6%
경 6
 
2.2%
아 6
 
2.2%
리 6
 
2.2%
Other values (108) 168
62.0%
ASCII
ValueCountFrequency (%)
( 17
30.9%
) 17
30.9%
10
18.2%
C 2
 
3.6%
S 1
 
1.8%
n 1
 
1.8%
a 1
 
1.8%
e 1
 
1.8%
l 1
 
1.8%
o 1
 
1.8%
Other values (3) 3
 
5.5%
None
ValueCountFrequency (%)
＆ 1
100.0%

사무실소재지(도로명)
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-28T18:46:12.132151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length32.465116
Min length23

Characters and Unicode

Total characters1396
Distinct characters128
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

Unique43 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 신포로27번길 33, 3층 (중앙동3가)
2nd row인천광역시 중구 참외전로 149-78, 3층 305호 (인현동, 인현동 공공임대주택)
3rd row인천광역시 중구 서해대로449번길 50, 1층층 (신흥동1가)
4th row인천광역시 중구 신포로23번길 49, 중앙프라자 2층 209호 (중앙동3가)
5th row인천광역시 중구 내항로 150, 주식회사브이에스물류 1층 (항동7가)
ValueCountFrequency (%)
인천광역시 43
 
16.2%
중구 43
 
16.2%
운서동 9
 
3.4%
항동7가 6
 
2.3%
제물량로 5
 
1.9%
3층 4
 
1.5%
2층 4
 
1.5%
신흥동1가 3
 
1.1%
13 3
 
1.1%
운북동 3
 
1.1%
Other values (107) 142
53.6%
2024-01-28T18:46:12.467941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222
 
15.9%
중 51
 
3.7%
인 49
 
3.5%
천 47
 
3.4%
1 47
 
3.4%
시 45
 
3.2%
동 45
 
3.2%
로 44
 
3.2%
) 44
 
3.2%
( 44
 
3.2%
Other values (118) 758
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
56.8%
Decimal Number 244
 
17.5%
Space Separator 222
 
15.9%
Close Punctuation 44
 
3.2%
Open Punctuation 44
 
3.2%
Other Punctuation 38
 
2.7%
Dash Punctuation 9
 
0.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 51
 
6.4%
인 49
 
6.2%
천 47
 
5.9%
시 45
 
5.7%
동 45
 
5.7%
로 44
 
5.5%
광 43
 
5.4%
역 43
 
5.4%
구 43
 
5.4%
번 22
 
2.8%
Other values (101) 361
45.5%
Decimal Number
ValueCountFrequency (%)
1 47
19.3%
2 42
17.2%
3 31
12.7%
0 27
11.1%
4 25
10.2%
7 20
8.2%
9 16
 
6.6%
5 14
 
5.7%
8 13
 
5.3%
6 9
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
56.8%
Common 601
43.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 51
 
6.4%
인 49
 
6.2%
천 47
 
5.9%
시 45
 
5.7%
동 45
 
5.7%
로 44
 
5.5%
광 43
 
5.4%
역 43
 
5.4%
구 43
 
5.4%
번 22
 
2.8%
Other values (101) 361
45.5%
Common
ValueCountFrequency (%)
222
36.9%
1 47
 
7.8%
) 44
 
7.3%
( 44
 
7.3%
2 42
 
7.0%
, 38
 
6.3%
3 31
 
5.2%
0 27
 
4.5%
4 25
 
4.2%
7 20
 
3.3%
Other values (5) 61
 
10.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
56.8%
ASCII 603
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222
36.8%
1 47
 
7.8%
) 44
 
7.3%
( 44
 
7.3%
2 42
 
7.0%
, 38
 
6.3%
3 31
 
5.1%
0 27
 
4.5%
4 25
 
4.1%
7 20
 
3.3%
Other values (7) 63
 
10.4%
Hangul
ValueCountFrequency (%)
중 51
 
6.4%
인 49
 
6.2%
천 47
 
5.9%
시 45
 
5.7%
동 45
 
5.7%
로 44
 
5.5%
광 43
 
5.4%
역 43
 
5.4%
구 43
 
5.4%
번 22
 
2.8%
Other values (101) 361
45.5%

영업소전화번호
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing2
Missing (%)4.7%
Memory size476.0 B
2024-01-28T18:46:12.651964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.97561
Min length9

Characters and Unicode

Total characters491
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row032-765-7600
2nd row032-772-0250
3rd row032-233-7300
4th row070-8826-9150
5th row032-766-8461
ValueCountFrequency (%)
032-777-9991 1
 
2.4%
1577-0469 1
 
2.4%
032-752-5889 1
 
2.4%
032-773-0417 1
 
2.4%
032-742-3093 1
 
2.4%
032-765-0540 1
 
2.4%
032-763-4007 1
 
2.4%
032-555-7972 1
 
2.4%
032-744-8428 1
 
2.4%
032-762-0346 1
 
2.4%
Other values (31) 31
75.6%
2024-01-28T18:46:12.925767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 79
16.1%
0 74
15.1%
3 62
12.6%
7 62
12.6%
2 56
11.4%
6 38
7.7%
1 29
 
5.9%
8 26
 
5.3%
4 24
 
4.9%
9 21
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 412
83.9%
Dash Punctuation 79
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
18.0%
3 62
15.0%
7 62
15.0%
2 56
13.6%
6 38
9.2%
1 29
 
7.0%
8 26
 
6.3%
4 24
 
5.8%
9 21
 
5.1%
5 20
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 79
16.1%
0 74
15.1%
3 62
12.6%
7 62
12.6%
2 56
11.4%
6 38
7.7%
1 29
 
5.9%
8 26
 
5.3%
4 24
 
4.9%
9 21
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 79
16.1%
0 74
15.1%
3 62
12.6%
7 62
12.6%
2 56
11.4%
6 38
7.7%
1 29
 
5.9%
8 26
 
5.3%
4 24
 
4.9%
9 21
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-09-15
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 43
100.0%

Length

2024-01-28T18:46:13.030825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:46:13.103080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 43
100.0%

Interactions

2024-01-28T18:46:10.739997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:46:13.150842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)영업소전화번호
순번1.0001.0001.0001.000
소독업소명칭1.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2024-01-28T18:46:10.834044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:46:10.915227image/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

순번영업구분소독업소명칭사무실소재지(도로명)영업소전화번호데이터기준일자
01영업중(주)명륜인천광역시 중구 신포로27번길 33, 3층 (중앙동3가)032-765-76002023-09-15
12영업중일도재활관인천광역시 중구 참외전로 149-78, 3층 305호 (인현동, 인현동 공공임대주택)032-772-02502023-09-15
23영업중청소박사그린인천광역시 중구 서해대로449번길 50, 1층층 (신흥동1가)032-233-73002023-09-15
34영업중영화이앤알(주)인천광역시 중구 신포로23번길 49, 중앙프라자 2층 209호 (중앙동3가)070-8826-91502023-09-15
45영업중주식회사브이에스물류인천광역시 중구 내항로 150, 주식회사브이에스물류 1층 (항동7가)032-766-84612023-09-15
56영업중이레클린2인천광역시 중구 화랑목로100번길 5, 101호 (운서동)0507-1435-22382023-09-15
67영업중정운주택관리인천광역시 중구 하늘중앙로225번길 23, 701호 (중산동)0507-1317-44972023-09-15
78영업중그린아웃소싱(주)인천광역시 중구 제물량로24번길 7, 2층 (신흥동3가)032-889-21132023-09-15
89영업중클린코리아센터인천광역시 중구 백운로228번길 205, 205호 (운북동)<NA>2023-09-15
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