Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description인천광역시 남동구 포장공사업 업체 현황에 대한 데이터로 연번, 상호, 대표자, 주소, 전화번호, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15090999/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
대표자 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:18:54.804951
Analysis finished2023-12-12 13:18:55.623937
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:18:55.678867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T22:18:55.806603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

상호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:18:55.988413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.5
Min length7

Characters and Unicode

Total characters195
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)강동건설
2nd row(주)건우산업
3rd row(주)국원건설
4th row(주)덕산기업
5th row(주)도담이앤씨
ValueCountFrequency (%)
주)강동건설 1
 
3.8%
주)건우산업 1
 
3.8%
천명건설(주 1
 
3.8%
일해건설(주 1
 
3.8%
일원엔지니어링(주 1
 
3.8%
원맥건설(주 1
 
3.8%
선우이엔씨(주 1
 
3.8%
삼림건설(주 1
 
3.8%
보림건설산업(주 1
 
3.8%
명신건설(주 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T22:18:56.309352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
13.8%
( 26
13.3%
) 26
13.3%
19
 
9.7%
17
 
8.7%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (44) 59
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
73.3%
Open Punctuation 26
 
13.3%
Close Punctuation 26
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
18.9%
19
 
13.3%
17
 
11.9%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (42) 53
37.1%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
73.3%
Common 52
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
18.9%
19
 
13.3%
17
 
11.9%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (42) 53
37.1%
Common
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
73.3%
ASCII 52
 
26.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
18.9%
19
 
13.3%
17
 
11.9%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (42) 53
37.1%
ASCII
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%

대표자
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:18:56.502393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row김현민
2nd row심경옥
3rd row전영진
4th row변길수
5th row이명재
ValueCountFrequency (%)
김현민 1
 
3.8%
심경옥 1
 
3.8%
최용해 1
 
3.8%
김선주 1
 
3.8%
박준위 1
 
3.8%
진용호 1
 
3.8%
김선유 1
 
3.8%
설우진 1
 
3.8%
서양원 1
 
3.8%
진명창 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T22:18:56.799402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
6.4%
5
 
6.4%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (39) 47
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
6.4%
5
 
6.4%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (39) 47
60.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
6.4%
5
 
6.4%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (39) 47
60.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
 
6.4%
5
 
6.4%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (39) 47
60.3%

주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:18:57.014036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length23.884615
Min length17

Characters and Unicode

Total characters621
Distinct characters62
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동서로 226 2층 4호
2nd row인천광역시 남동구 만수동 652, 201호
3rd row인천광역시 남동구 구월동 1142 비전타워 12층
4th row인천광역시 남동구 논현동 448-1 예성오피스텔 908호
5th row인천광역시 남동구 구월동 1128-9 , 4층
ValueCountFrequency (%)
인천광역시 26
19.5%
남동구 26
19.5%
구월동 8
 
6.0%
논현동 6
 
4.5%
4층 3
 
2.3%
3
 
2.3%
3층 3
 
2.3%
만수동 3
 
2.3%
간석동 2
 
1.5%
수산동 2
 
1.5%
Other values (48) 51
38.3%
2023-12-12T22:18:57.399092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
17.2%
52
 
8.4%
34
 
5.5%
1 29
 
4.7%
27
 
4.3%
27
 
4.3%
27
 
4.3%
26
 
4.2%
26
 
4.2%
26
 
4.2%
Other values (52) 240
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
54.3%
Decimal Number 150
24.2%
Space Separator 107
 
17.2%
Dash Punctuation 19
 
3.1%
Other Punctuation 8
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
15.4%
34
10.1%
27
 
8.0%
27
 
8.0%
27
 
8.0%
26
 
7.7%
26
 
7.7%
26
 
7.7%
11
 
3.3%
9
 
2.7%
Other values (38) 72
21.4%
Decimal Number
ValueCountFrequency (%)
1 29
19.3%
2 21
14.0%
4 20
13.3%
3 17
11.3%
0 15
10.0%
6 14
9.3%
5 10
 
6.7%
8 9
 
6.0%
7 8
 
5.3%
9 7
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
2
 
25.0%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
54.3%
Common 284
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
15.4%
34
10.1%
27
 
8.0%
27
 
8.0%
27
 
8.0%
26
 
7.7%
26
 
7.7%
26
 
7.7%
11
 
3.3%
9
 
2.7%
Other values (38) 72
21.4%
Common
ValueCountFrequency (%)
107
37.7%
1 29
 
10.2%
2 21
 
7.4%
4 20
 
7.0%
- 19
 
6.7%
3 17
 
6.0%
0 15
 
5.3%
6 14
 
4.9%
5 10
 
3.5%
8 9
 
3.2%
Other values (4) 23
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
54.3%
ASCII 282
45.4%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
37.9%
1 29
 
10.3%
2 21
 
7.4%
4 20
 
7.1%
- 19
 
6.7%
3 17
 
6.0%
0 15
 
5.3%
6 14
 
5.0%
5 10
 
3.5%
8 9
 
3.2%
Other values (3) 21
 
7.4%
Hangul
ValueCountFrequency (%)
52
15.4%
34
10.1%
27
 
8.0%
27
 
8.0%
27
 
8.0%
26
 
7.7%
26
 
7.7%
26
 
7.7%
11
 
3.3%
9
 
2.7%
Other values (38) 72
21.4%
None
ValueCountFrequency (%)
2
100.0%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:18:57.579398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique24 ?
Unique (%)92.3%

Sample

1st row032-937-3584
2nd row032-466-7101
3rd row032-431-6488
4th row032-819-0007
5th row032-428-4770
ValueCountFrequency (%)
032-466-7101 2
 
7.7%
032-937-3584 1
 
3.8%
032-471-4033 1
 
3.8%
032-469-5471 1
 
3.8%
032-442-2201 1
 
3.8%
032-831-1666 1
 
3.8%
032-426-7511 1
 
3.8%
032-562-4244 1
 
3.8%
032-429-6051 1
 
3.8%
032-468-1820 1
 
3.8%
Other values (15) 15
57.7%
2023-12-12T22:18:57.893863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
2 44
14.1%
0 42
13.5%
3 38
12.2%
4 33
10.6%
6 25
8.0%
1 24
7.7%
8 18
 
5.8%
7 15
 
4.8%
5 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 44
16.9%
0 42
16.2%
3 38
14.6%
4 33
12.7%
6 25
9.6%
1 24
9.2%
8 18
6.9%
7 15
 
5.8%
5 12
 
4.6%
9 9
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
2 44
14.1%
0 42
13.5%
3 38
12.2%
4 33
10.6%
6 25
8.0%
1 24
7.7%
8 18
 
5.8%
7 15
 
4.8%
5 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
2 44
14.1%
0 42
13.5%
3 38
12.2%
4 33
10.6%
6 25
8.0%
1 24
7.7%
8 18
 
5.8%
7 15
 
4.8%
5 12
 
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2023-12-12T22:18:58.011568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:18:58.100477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:18:55.077765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:18:58.175292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호대표자주소전화번호
연번1.0001.0001.0001.0000.916
상호1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호0.9161.0001.0001.0001.000

Missing values

2023-12-12T22:18:55.193580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:18:55.589003image/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

연번상호대표자주소전화번호데이터기준일자
01(주)강동건설김현민인천광역시 남동구 남동서로 226 2층 4호032-937-35842023-09-04
12(주)건우산업심경옥인천광역시 남동구 만수동 652, 201호032-466-71012023-09-04
23(주)국원건설전영진인천광역시 남동구 구월동 1142 비전타워 12층032-431-64882023-09-04
34(주)덕산기업변길수인천광역시 남동구 논현동 448-1 예성오피스텔 908호032-819-00072023-09-04
45(주)도담이앤씨이명재인천광역시 남동구 구월동 1128-9 , 4층032-428-47702023-09-04
56(주)삼우산업조옥란인천광역시 남동구 수산동 366-5032-463-45002023-09-04
67(주)서진종합이앤씨이수민인천광역시 남동구 구월동 1116-1 , 5층032-422-24052023-09-04
78(주)성원토건김승수인천광역시 남동구 논현동 746-6 , 1103호032-467-06922023-09-04
89(주)엘엔케이시설물고삼석인천광역시 남동구 고잔동 180032-428-59712023-09-04
910(주)주함건설박영옥인천광역시 남동구 수산동 300-2032-866-73622023-09-04
연번상호대표자주소전화번호데이터기준일자
1617디엘건설(주)조남창인천광역시 남동구 구월동 1143-6032-518-35352023-09-04
1718명신건설(주)진명창인천광역시 남동구 간석동 283-15 명신빌딩 3층032-465-14722023-09-04
1819보림건설산업(주)서양원인천광역시 남동구 구월동 1289-4 ,4층032-468-18202023-09-04
1920삼림건설(주)설우진인천광역시 남동구 논현동 744-3 201호032-429-60512023-09-04
2021선우이엔씨(주)김선유인천광역시 남동구 간석동 508-120 3층032-562-42442023-09-04
2122원맥건설(주)진용호인천광역시 남동구 도림동 31-6032-426-75112023-09-04
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