Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory52.1 B

Variable types

Numeric1
DateTime2
Text2
Categorical1

Dataset

Description인천광역시 계양구 소재 행정사사무소 현황에 대한 데이터로, 신고연월일, 명칭, 소재지 주소, 데이터기준일자 등을 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15028838&srcSe=7661IVAWM27C61E190

Alerts

비고 has constant value ""Constant
데이터기준일자 has constant value ""Constant
일련번호 has unique valuesUnique
명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:28:22.677532
Analysis finished2024-03-18 05:28:24.574866
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-18T14:28:24.648849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-03-18T14:28:24.793220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

신고연월일
Date

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2000-12-08 00:00:00
Maximum2023-03-21 00:00:00
2024-03-18T14:28:24.915782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:28:25.031140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

명칭
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-18T14:28:25.225042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.9761905
Min length6

Characters and Unicode

Total characters419
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row행정사사무소 일조
2nd row행정사 사무소 혜윰
3rd row동행 행정사
4th rowNH에너지 행정사 사무소
5th row청담 행정사 사무소
ValueCountFrequency (%)
행정사 14
 
18.7%
사무소 14
 
18.7%
행정사사무소 4
 
5.3%
최제영사무소 1
 
1.3%
아이비산업개발(주 1
 
1.3%
박준구행정사사무소 1
 
1.3%
이철행정사사무소 1
 
1.3%
오복사행정사사무소 1
 
1.3%
우리 1
 
1.3%
세종 1
 
1.3%
Other values (36) 36
48.0%
2024-03-18T14:28:25.561791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 85
20.3%
정 45
 
10.7%
행 44
 
10.5%
무 41
 
9.8%
소 41
 
9.8%
33
 
7.9%
김 4
 
1.0%
호 4
 
1.0%
영 4
 
1.0%
이 4
 
1.0%
Other values (85) 114
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
89.7%
Space Separator 33
 
7.9%
Uppercase Letter 5
 
1.2%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 85
22.6%
정 45
12.0%
행 44
11.7%
무 41
10.9%
소 41
10.9%
김 4
 
1.1%
호 4
 
1.1%
영 4
 
1.1%
이 4
 
1.1%
오 4
 
1.1%
Other values (76) 100
26.6%
Uppercase Letter
ValueCountFrequency (%)
U 1
20.0%
L 1
20.0%
J 1
20.0%
H 1
20.0%
N 1
20.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
89.7%
Common 38
 
9.1%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 85
22.6%
정 45
12.0%
행 44
11.7%
무 41
10.9%
소 41
10.9%
김 4
 
1.1%
호 4
 
1.1%
영 4
 
1.1%
이 4
 
1.1%
오 4
 
1.1%
Other values (76) 100
26.6%
Latin
ValueCountFrequency (%)
U 1
20.0%
L 1
20.0%
J 1
20.0%
H 1
20.0%
N 1
20.0%
Common
ValueCountFrequency (%)
33
86.8%
) 2
 
5.3%
( 2
 
5.3%
& 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
89.7%
ASCII 43
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 85
22.6%
정 45
12.0%
행 44
11.7%
무 41
10.9%
소 41
10.9%
김 4
 
1.1%
호 4
 
1.1%
영 4
 
1.1%
이 4
 
1.1%
오 4
 
1.1%
Other values (76) 100
26.6%
ASCII
ValueCountFrequency (%)
33
76.7%
) 2
 
4.7%
( 2
 
4.7%
U 1
 
2.3%
L 1
 
2.3%
J 1
 
2.3%
& 1
 
2.3%
H 1
 
2.3%
N 1
 
2.3%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-18T14:28:25.842468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length35.880952
Min length22

Characters and Unicode

Total characters1507
Distinct characters120
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

Unique42 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 오조산로57번길 7-1， 미래사랑빌딩7층 스페이스 드림 733호(계산동)
2nd row인천광역시 계양구 오조산로57번길 7-1， 미래사랑빌딩 7층 스페이스 드림 D07호(계산동)
3rd row인천광역시 계양구 경명대로1045번길 3-1， 지산그라띠아상가 103동 102호(계산동)
4th row인천광역시 계양구 계양대로16번길 87， 2층(작전동)
5th row인천광역시 계양구 황어로 115(장기동)
ValueCountFrequency (%)
인천광역시 42
 
14.8%
계양구 42
 
14.8%
계산동 8
 
2.8%
작전동 7
 
2.5%
71， 4
 
1.4%
계산새로 4
 
1.4%
3층 4
 
1.4%
하이베라스빌딩 4
 
1.4%
2층 4
 
1.4%
경명대로 3
 
1.1%
Other values (130) 162
57.0%
2024-03-18T14:28:26.216667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
16.1%
계 70
 
4.6%
동 56
 
3.7%
양 52
 
3.5%
1 51
 
3.4%
， 45
 
3.0%
인 43
 
2.9%
광 43
 
2.9%
시 42
 
2.8%
구 42
 
2.8%
Other values (110) 821
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 879
58.3%
Decimal Number 250
 
16.6%
Space Separator 242
 
16.1%
Other Punctuation 45
 
3.0%
Open Punctuation 40
 
2.7%
Close Punctuation 40
 
2.7%
Uppercase Letter 7
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 70
 
8.0%
동 56
 
6.4%
양 52
 
5.9%
인 43
 
4.9%
광 43
 
4.9%
시 42
 
4.8%
구 42
 
4.8%
역 42
 
4.8%
천 42
 
4.8%
로 40
 
4.6%
Other values (91) 407
46.3%
Decimal Number
ValueCountFrequency (%)
1 51
20.4%
7 35
14.0%
2 32
12.8%
0 30
12.0%
3 26
10.4%
5 21
8.4%
8 19
 
7.6%
6 16
 
6.4%
4 13
 
5.2%
9 7
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
D 3
42.9%
B 2
28.6%
T 1
 
14.3%
K 1
 
14.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Other Punctuation
ValueCountFrequency (%)
， 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 879
58.3%
Common 621
41.2%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 70
 
8.0%
동 56
 
6.4%
양 52
 
5.9%
인 43
 
4.9%
광 43
 
4.9%
시 42
 
4.8%
구 42
 
4.8%
역 42
 
4.8%
천 42
 
4.8%
로 40
 
4.6%
Other values (91) 407
46.3%
Common
ValueCountFrequency (%)
242
39.0%
1 51
 
8.2%
， 45
 
7.2%
( 40
 
6.4%
) 40
 
6.4%
7 35
 
5.6%
2 32
 
5.2%
0 30
 
4.8%
3 26
 
4.2%
5 21
 
3.4%
Other values (5) 59
 
9.5%
Latin
ValueCountFrequency (%)
D 3
42.9%
B 2
28.6%
T 1
 
14.3%
K 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 879
58.3%
ASCII 583
38.7%
None 45
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
41.5%
1 51
 
8.7%
( 40
 
6.9%
) 40
 
6.9%
7 35
 
6.0%
2 32
 
5.5%
0 30
 
5.1%
3 26
 
4.5%
5 21
 
3.6%
8 19
 
3.3%
Other values (8) 47
 
8.1%
Hangul
ValueCountFrequency (%)
계 70
 
8.0%
동 56
 
6.4%
양 52
 
5.9%
인 43
 
4.9%
광 43
 
4.9%
시 42
 
4.8%
구 42
 
4.8%
역 42
 
4.8%
천 42
 
4.8%
로 40
 
4.6%
Other values (91) 407
46.3%
None
ValueCountFrequency (%)
， 45
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
42 

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 42
100.0%

Length

2024-03-18T14:28:26.342999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:28:26.441935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2023-04-28 00:00:00
Maximum2023-04-28 00:00:00
2024-03-18T14:28:26.513310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:28:26.594248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T14:28:24.241580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:28:26.685582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호신고연월일명칭소재지
일련번호1.0000.9011.0001.000
신고연월일0.9011.0001.0001.000
명칭1.0001.0001.0001.000
소재지1.0001.0001.0001.000

Missing values

2024-03-18T14:28:24.411697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:28:24.530162image/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

일련번호신고연월일명칭소재지비고데이터기준일자
012023-03-21행정사사무소 일조인천광역시 계양구 오조산로57번길 7-1， 미래사랑빌딩7층 스페이스 드림 733호(계산동)영업중2023-04-28
122023-02-13행정사 사무소 혜윰인천광역시 계양구 오조산로57번길 7-1， 미래사랑빌딩 7층 스페이스 드림 D07호(계산동)영업중2023-04-28
232023-01-13동행 행정사인천광역시 계양구 경명대로1045번길 3-1， 지산그라띠아상가 103동 102호(계산동)영업중2023-04-28
342022-10-19NH에너지 행정사 사무소인천광역시 계양구 계양대로16번길 87， 2층(작전동)영업중2023-04-28
452022-09-23청담 행정사 사무소인천광역시 계양구 황어로 115(장기동)영업중2023-04-28
562022-07-25네오테크&네오 행정사 사무소인천광역시 계양구 봉오대로463번길 12， 5동 305호(효성동， 하나아파트)영업중2023-04-28
672021-12-30행정사사무소 손길인천광역시 계양구 효서로 284， 1동 107호(작전동， 한신아파트)영업중2023-04-28
782021-12-09금강 행정사사무소인천광역시 계양구 효서로 260， 5층(작전동)영업중2023-04-28
892021-08-23공정과 상식 행정사 사무소인천광역시 계양구 황어로214번길 2(선주지동)영업중2023-04-28
9102021-07-28사람과세상 행정사사무소인천광역시 계양구 경명대로 1053， 계산동우체국 2층(계산동)영업중2023-04-28
일련번호신고연월일명칭소재지비고데이터기준일자
32332012-11-30진대규행정사사무소인천광역시 계양구 작전동 871번지 28호영업중2023-04-28
33342012-01-05삼오사 행정사 사무소인천광역시 계양구 계양문화로 86， 2층 216호 (용종동)영업중2023-04-28
34352008-12-29행정사조영상사무소인천광역시 계양구 계양대로 82， 덕영빌딩 401호 (작전동)영업중2023-04-28
35362011-02-16힘찬행정심판사무소인천광역시 계양구 계양문화로 86， 3층 306호 (용종동)영업중2023-04-28
36372012-12-11행정사박종관사무소인천광역시 계양구 봉오대로735번길 1， 3층 (작전동)영업중2023-04-28
37382013-01-02JLU행정사사무소인천광역시 계양구 살라리로12번길 6-1， 202호 (서운동， 썬빌리)영업중2023-04-28
38392013-03-25한국연합행정사사무소인천광역시 계양구 경명대로 1115， 인평프라자 209호 (계산동)영업중2023-04-28
39402012-04-10대한행정사무소(행정사금경연사무소)인천광역시 계양구 계산새로 71， 하이베라스빌딩 D동 601호 (계산동)영업중2023-04-28
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