Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells9
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory53.7 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 중구 행정사사무소 현황 데이터를 제공합니다. 파일명 인천광역시 중구 행정사사무소현황 내용 업체명, 소재지 및 주소, 전화번호 등
URLhttps://www.data.go.kr/data/15028786/fileData.do

Alerts

비고 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 9 (32.1%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:17:00.848300
Analysis finished2023-12-12 17:17:01.348085
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:17:01.405112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-13T02:17:01.569021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

업체명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T02:17:01.796854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.107143
Min length5

Characters and Unicode

Total characters283
Distinct characters72
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row성용원 행정사 사무소
2nd row한영대 행정사 사무소
3rd row행정사법인 정도
4th row흰바위 행정사 사무소
5th row임마누엘행정사
ValueCountFrequency (%)
행정사 14
21.9%
사무소 14
21.9%
행정사사무소 3
 
4.7%
정진 1
 
1.6%
행정사무소 1
 
1.6%
박성용 1
 
1.6%
심재영 1
 
1.6%
공감행정사사무소 1
 
1.6%
국민주권 1
 
1.6%
우지영 1
 
1.6%
Other values (26) 26
40.6%
2023-12-13T02:17:02.129869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
18.0%
36
12.7%
31
11.0%
28
 
9.9%
25
 
8.8%
25
 
8.8%
4
 
1.4%
3
 
1.1%
3
 
1.1%
3
 
1.1%
Other values (62) 74
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
86.2%
Space Separator 36
 
12.7%
Uppercase Letter 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
20.9%
31
12.7%
28
11.5%
25
 
10.2%
25
 
10.2%
4
 
1.6%
3
 
1.2%
3
 
1.2%
3
 
1.2%
2
 
0.8%
Other values (58) 69
28.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
86.2%
Common 37
 
13.1%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
20.9%
31
12.7%
28
11.5%
25
 
10.2%
25
 
10.2%
4
 
1.6%
3
 
1.2%
3
 
1.2%
3
 
1.2%
2
 
0.8%
Other values (58) 69
28.3%
Common
ValueCountFrequency (%)
36
97.3%
& 1
 
2.7%
Latin
ValueCountFrequency (%)
J 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
86.2%
ASCII 39
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
51
20.9%
31
12.7%
28
11.5%
25
 
10.2%
25
 
10.2%
4
 
1.6%
3
 
1.2%
3
 
1.2%
3
 
1.2%
2
 
0.8%
Other values (58) 69
28.3%
ASCII
ValueCountFrequency (%)
36
92.3%
J 1
 
2.6%
& 1
 
2.6%
B 1
 
2.6%
Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T02:17:02.435852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length36
Mean length30.785714
Min length1

Characters and Unicode

Total characters862
Distinct characters118
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row인천광역시 중구 신포로27번길 97 (중앙동1가)
2nd row인천광역시 중구 신포로27번길 97 (중앙동1가)
3rd row인천광역시 중구 영종대로 190, 101호 (운서동)
4th row인천광역시 중구 영종대로196번길 15-25, 상가동 B137호 (운서동, 운서역 반도유보라 퍼스티지)
5th row인천광역시 중구 운중로65번길 4 (운남동)
ValueCountFrequency (%)
인천광역시 26
 
16.0%
중구 26
 
16.0%
제물량로 4
 
2.5%
신포로27번길 3
 
1.9%
97 3
 
1.9%
운남동 3
 
1.9%
운서동 3
 
1.9%
2층 2
 
1.2%
신흥동2가, 2
 
1.2%
17, 2
 
1.2%
Other values (85) 88
54.3%
2023-12-13T02:17:02.960938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
16.0%
1 37
 
4.3%
36
 
4.2%
30
 
3.5%
30
 
3.5%
2 29
 
3.4%
29
 
3.4%
27
 
3.1%
26
 
3.0%
26
 
3.0%
Other values (108) 454
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
55.7%
Decimal Number 149
 
17.3%
Space Separator 138
 
16.0%
Open Punctuation 26
 
3.0%
Close Punctuation 26
 
3.0%
Other Punctuation 21
 
2.4%
Uppercase Letter 9
 
1.0%
Lowercase Letter 6
 
0.7%
Dash Punctuation 5
 
0.6%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
7.5%
30
 
6.2%
30
 
6.2%
29
 
6.0%
27
 
5.6%
26
 
5.4%
26
 
5.4%
26
 
5.4%
26
 
5.4%
17
 
3.5%
Other values (78) 207
43.1%
Decimal Number
ValueCountFrequency (%)
1 37
24.8%
2 29
19.5%
7 16
10.7%
0 16
10.7%
4 13
 
8.7%
5 11
 
7.4%
8 7
 
4.7%
9 7
 
4.7%
3 7
 
4.7%
6 6
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
A 1
11.1%
B 1
11.1%
K 1
11.1%
V 1
11.1%
I 1
11.1%
E 1
11.1%
W 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
k 1
16.7%
c 1
16.7%
i 1
16.7%
t 1
16.7%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
55.7%
Common 366
42.5%
Latin 16
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
7.5%
30
 
6.2%
30
 
6.2%
29
 
6.0%
27
 
5.6%
26
 
5.4%
26
 
5.4%
26
 
5.4%
26
 
5.4%
17
 
3.5%
Other values (78) 207
43.1%
Common
ValueCountFrequency (%)
138
37.7%
1 37
 
10.1%
2 29
 
7.9%
( 26
 
7.1%
) 26
 
7.1%
21
 
5.7%
7 16
 
4.4%
0 16
 
4.4%
4 13
 
3.6%
5 11
 
3.0%
Other values (6) 33
 
9.0%
Latin
ValueCountFrequency (%)
y 2
12.5%
S 2
12.5%
A 1
 
6.2%
1
 
6.2%
B 1
 
6.2%
K 1
 
6.2%
V 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
W 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
55.7%
ASCII 360
41.8%
None 21
 
2.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
38.3%
1 37
 
10.3%
2 29
 
8.1%
( 26
 
7.2%
) 26
 
7.2%
7 16
 
4.4%
0 16
 
4.4%
4 13
 
3.6%
5 11
 
3.1%
8 7
 
1.9%
Other values (18) 41
 
11.4%
Hangul
ValueCountFrequency (%)
36
 
7.5%
30
 
6.2%
30
 
6.2%
29
 
6.0%
27
 
5.6%
26
 
5.4%
26
 
5.4%
26
 
5.4%
26
 
5.4%
17
 
3.5%
Other values (78) 207
43.1%
None
ValueCountFrequency (%)
21
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

전화번호
Text

MISSING 

Distinct13
Distinct (%)68.4%
Missing9
Missing (%)32.1%
Memory size356.0 B
2023-12-13T02:17:03.194877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8
Min length1

Characters and Unicode

Total characters152
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)63.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
032-751-6788 1
8.3%
032-751-5050 1
8.3%
032-746-7554 1
8.3%
032-752-2341 1
8.3%
032-752-8100 1
8.3%
032-676-1917 1
8.3%
032-752-5558 1
8.3%
070-8288-4333 1
8.3%
032-772-7721 1
8.3%
032-746-6146 1
8.3%
Other values (2) 2
16.7%
2023-12-13T02:17:03.509785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 24
15.8%
2 19
12.5%
7 18
11.8%
0 17
11.2%
3 16
10.5%
5 13
8.6%
8 10
6.6%
1 9
 
5.9%
6 9
 
5.9%
7
 
4.6%
Other values (2) 10
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 121
79.6%
Dash Punctuation 24
 
15.8%
Space Separator 7
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19
15.7%
7 18
14.9%
0 17
14.0%
3 16
13.2%
5 13
10.7%
8 10
8.3%
1 9
7.4%
6 9
7.4%
4 7
 
5.8%
9 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 24
15.8%
2 19
12.5%
7 18
11.8%
0 17
11.2%
3 16
10.5%
5 13
8.6%
8 10
6.6%
1 9
 
5.9%
6 9
 
5.9%
7
 
4.6%
Other values (2) 10
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 24
15.8%
2 19
12.5%
7 18
11.8%
0 17
11.2%
3 16
10.5%
5 13
8.6%
8 10
6.6%
1 9
 
5.9%
6 9
 
5.9%
7
 
4.6%
Other values (2) 10
6.6%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업중
28 

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 28
100.0%

Length

2023-12-13T02:17:03.663906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:17:03.773615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2023-07-20 00:00:00
Maximum2023-07-20 00:00:00
2023-12-13T02:17:03.857658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:03.962117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T02:17:01.050781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:17:04.053751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지 및 주소전화번호
연번1.0001.0000.9510.906
업체명1.0001.0001.0001.000
소재지 및 주소0.9511.0001.0001.000
전화번호0.9061.0001.0001.000

Missing values

2023-12-13T02:17:01.162486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:17:01.308964image/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

연번업체명소재지 및 주소전화번호비고데이터기준일
01성용원 행정사 사무소인천광역시 중구 신포로27번길 97 (중앙동1가)영업중2023-07-20
12한영대 행정사 사무소인천광역시 중구 신포로27번길 97 (중앙동1가)영업중2023-07-20
23행정사법인 정도인천광역시 중구 영종대로 190, 101호 (운서동)영업중2023-07-20
34흰바위 행정사 사무소인천광역시 중구 영종대로196번길 15-25, 상가동 B137호 (운서동, 운서역 반도유보라 퍼스티지)영업중2023-07-20
45임마누엘행정사인천광역시 중구 운중로65번길 4 (운남동)영업중2023-07-20
56아라 행정사 사무소인천광역시 중구 월미로 18(북성동1가)<NA>영업중2023-07-20
67올라번역행정사사무소인천광역시 중구 하늘달빛로64번길 6-3, 5층 504호(중산동)<NA>영업중2023-07-20
78재나 행정사 사무소인천광역시 중구 신도시북로 18, 705동 104호 (운서동, 영종주공스카이빌아파트)032-751-6788영업중2023-07-20
89J&B 행정사 사무소인천광역시 중구 흰바위로 203, 218동 101호(운서동, 운서SK VIEW Skycity)<NA>영업중2023-07-20
910아크로 행정사 사무소<NA>영업중2023-07-20
연번업체명소재지 및 주소전화번호비고데이터기준일
1819공감행정사사무소인천광역시 중구 햇내로13번길 17, 프라임시티Ⅰ 105호 (운서동)032-752-8100영업중2023-07-20
1920국민주권 우지영 행정사사무소인천광역시 중구 제물량로 167-1, 2~3층 (사동)<NA>영업중2023-07-20
2021정진 행정사 사무소인천광역시 중구 서해대로417번길 2 (신흥동2가, 재향군인회관)032-676-1917영업중2023-07-20
2122연세 상담 행정사 사무소인천광역시 중구 운남로 168, 원빌딩 2층 202호 (운남동)032-752-5558영업중2023-07-20
2223덕운행정사인천광역시 중구 차이나타운로55번길 18 (선린동)070-8288-4333영업중2023-07-20
2324인천행정사사무소인천광역시 중구 인중로 97 (신흥동2가, 삼익상가 208호)<NA>영업중2023-07-20
2425유한규행정사무소인천광역시 중구 큰우물로 9 (용동)032-772-7721영업중2023-07-20
2526윤성복행정사사무소인천광역시 중구 운중로 45 (운남동)032-746-6146영업중2023-07-20
2627이관희 행정사사무소인천광역시 중구 신포로27번길 71 (중앙동2가)032-832-4885영업중2023-07-20
2728박정남행정사사무소인천광역시 중구 제물량로 245 (항동1가)032-761-9697영업중2023-07-20