Overview

Dataset statistics

Number of variables6
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory51.2 B

Variable types

Numeric1
DateTime1
Text3
Categorical1

Dataset

Description남동구 행정사 현황(일련번호, 신고일자, 사무소명칭, 행정사종류, 행정사 성명, 사무소 도로명전체주소)에 대한 정보입니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15007600&srcSe=7661IVAWM27C61E190

Alerts

행정사종류 has constant value ""Constant
일련번호 has unique valuesUnique
행정사 성명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:24:06.977670
Analysis finished2024-03-18 05:24:07.778177
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-18T14:24:07.837088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2024-03-18T14:24:07.950567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
Distinct53
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1999-09-28 00:00:00
Maximum2022-06-29 00:00:00
2024-03-18T14:24:08.095093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:24:08.236505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-18T14:24:08.446198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.4166667
Min length4

Characters and Unicode

Total characters505
Distinct characters110
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

Unique57 ?
Unique (%)95.0%

Sample

1st row위더스행정사사무소
2nd row가교행정사
3rd row행정사박종일사무소
4th row행정사사무소 JH
5th rowEIR행정사사무소
ValueCountFrequency (%)
행정사 12
 
13.3%
사무소 7
 
7.8%
행정사사무소 6
 
6.7%
한울 3
 
3.3%
합동사무소 3
 
3.3%
빛들 1
 
1.1%
행정사조용일사무소 1
 
1.1%
안명수 1
 
1.1%
미미행정사 1
 
1.1%
이재영 1
 
1.1%
Other values (54) 54
60.0%
2024-03-18T14:24:08.758371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
19.4%
59
 
11.7%
58
 
11.5%
41
 
8.1%
40
 
7.9%
30
 
5.9%
8
 
1.6%
7
 
1.4%
6
 
1.2%
6
 
1.2%
Other values (100) 152
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
91.7%
Space Separator 30
 
5.9%
Uppercase Letter 8
 
1.6%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
21.2%
59
12.7%
58
12.5%
41
 
8.9%
40
 
8.6%
8
 
1.7%
7
 
1.5%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (87) 134
28.9%
Uppercase Letter
ValueCountFrequency (%)
L 1
12.5%
S 1
12.5%
C 1
12.5%
R 1
12.5%
I 1
12.5%
E 1
12.5%
H 1
12.5%
J 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
91.7%
Common 33
 
6.5%
Latin 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
21.2%
59
12.7%
58
12.5%
41
 
8.9%
40
 
8.6%
8
 
1.7%
7
 
1.5%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (87) 134
28.9%
Latin
ValueCountFrequency (%)
L 1
11.1%
h 1
11.1%
S 1
11.1%
C 1
11.1%
R 1
11.1%
I 1
11.1%
E 1
11.1%
H 1
11.1%
J 1
11.1%
Common
ValueCountFrequency (%)
30
90.9%
2 1
 
3.0%
& 1
 
3.0%
4 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
91.7%
ASCII 42
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
98
21.2%
59
12.7%
58
12.5%
41
 
8.9%
40
 
8.6%
8
 
1.7%
7
 
1.5%
6
 
1.3%
6
 
1.3%
6
 
1.3%
Other values (87) 134
28.9%
ASCII
ValueCountFrequency (%)
30
71.4%
2 1
 
2.4%
L 1
 
2.4%
& 1
 
2.4%
h 1
 
2.4%
S 1
 
2.4%
C 1
 
2.4%
R 1
 
2.4%
I 1
 
2.4%
E 1
 
2.4%
Other values (3) 3
 
7.1%

행정사종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
일반행정사
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 60
100.0%

Length

2024-03-18T14:24:08.871343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:24:08.948066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 60
100.0%

행정사 성명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-18T14:24:09.136238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9833333
Min length2

Characters and Unicode

Total characters179
Distinct characters86
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

Unique60 ?
Unique (%)100.0%

Sample

1st row이유호
2nd row손인태
3rd row박종일
4th row양장헌
5th row임원걸
ValueCountFrequency (%)
이유호 1
 
1.7%
손인태 1
 
1.7%
현병주 1
 
1.7%
윤승환 1
 
1.7%
이상호 1
 
1.7%
김찬국 1
 
1.7%
김홍연 1
 
1.7%
전재용 1
 
1.7%
이춘기 1
 
1.7%
이재영 1
 
1.7%
Other values (50) 50
83.3%
2024-03-18T14:24:09.471888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.7%
9
 
5.0%
7
 
3.9%
7
 
3.9%
6
 
3.4%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
Other values (76) 119
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.7%
9
 
5.0%
7
 
3.9%
7
 
3.9%
6
 
3.4%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
Other values (76) 119
66.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.7%
9
 
5.0%
7
 
3.9%
7
 
3.9%
6
 
3.4%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
Other values (76) 119
66.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
6.7%
9
 
5.0%
7
 
3.9%
7
 
3.9%
6
 
3.4%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
Other values (76) 119
66.5%
Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-18T14:24:09.770771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length26.333333
Min length15

Characters and Unicode

Total characters1580
Distinct characters98
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

Unique53 ?
Unique (%)88.3%

Sample

1st row인천광역시 남동구 복개서로 25, 2층 1호(구월동)
2nd row인천광역시 남동구 서창방산로158번길 15-14, 301호(서창동)
3rd row인천광역시 남동구 청능대로 581, 광성프라자 503-316호(논현동)
4th row인천광역시 남동구 소래역로 36, 라마다호텔 3층 306-2호(논현동)
5th row인천광역시 남동구 주안로 273, 401호(간석동)
ValueCountFrequency (%)
인천광역시 60
18.9%
남동구 60
18.9%
만수동 13
 
4.1%
구월동 10
 
3.1%
간석동 7
 
2.2%
논현동 7
 
2.2%
1호 5
 
1.6%
7호 4
 
1.3%
구월로 4
 
1.3%
82 3
 
0.9%
Other values (125) 145
45.6%
2024-03-18T14:24:10.427084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
16.3%
118
 
7.5%
82
 
5.2%
1 74
 
4.7%
65
 
4.1%
63
 
4.0%
61
 
3.9%
61
 
3.9%
61
 
3.9%
60
 
3.8%
Other values (88) 677
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 953
60.3%
Decimal Number 286
 
18.1%
Space Separator 258
 
16.3%
Open Punctuation 26
 
1.6%
Close Punctuation 26
 
1.6%
Other Punctuation 24
 
1.5%
Dash Punctuation 5
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
118
 
12.4%
82
 
8.6%
65
 
6.8%
63
 
6.6%
61
 
6.4%
61
 
6.4%
61
 
6.4%
60
 
6.3%
38
 
4.0%
38
 
4.0%
Other values (71) 306
32.1%
Decimal Number
ValueCountFrequency (%)
1 74
25.9%
0 37
12.9%
2 31
10.8%
5 27
 
9.4%
3 26
 
9.1%
8 24
 
8.4%
7 23
 
8.0%
9 19
 
6.6%
4 13
 
4.5%
6 12
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 953
60.3%
Common 625
39.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
118
 
12.4%
82
 
8.6%
65
 
6.8%
63
 
6.6%
61
 
6.4%
61
 
6.4%
61
 
6.4%
60
 
6.3%
38
 
4.0%
38
 
4.0%
Other values (71) 306
32.1%
Common
ValueCountFrequency (%)
258
41.3%
1 74
 
11.8%
0 37
 
5.9%
2 31
 
5.0%
5 27
 
4.3%
3 26
 
4.2%
( 26
 
4.2%
) 26
 
4.2%
8 24
 
3.8%
, 24
 
3.8%
Other values (5) 72
 
11.5%
Latin
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 953
60.3%
ASCII 627
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
41.1%
1 74
 
11.8%
0 37
 
5.9%
2 31
 
4.9%
5 27
 
4.3%
3 26
 
4.1%
( 26
 
4.1%
) 26
 
4.1%
8 24
 
3.8%
, 24
 
3.8%
Other values (7) 74
 
11.8%
Hangul
ValueCountFrequency (%)
118
 
12.4%
82
 
8.6%
65
 
6.8%
63
 
6.6%
61
 
6.4%
61
 
6.4%
61
 
6.4%
60
 
6.3%
38
 
4.0%
38
 
4.0%
Other values (71) 306
32.1%

Interactions

2024-03-18T14:24:07.540964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:24:10.521611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호신고일자사무소명칭행정사 성명사무소 도로명전체주소
일련번호1.0000.9020.9491.0000.944
신고일자0.9021.0001.0001.0000.998
사무소명칭0.9491.0001.0001.0001.000
행정사 성명1.0001.0001.0001.0001.000
사무소 도로명전체주소0.9440.9981.0001.0001.000

Missing values

2024-03-18T14:24:07.638320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:24:07.740336image/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

일련번호신고일자사무소명칭행정사종류행정사 성명사무소 도로명전체주소
012022-03-03위더스행정사사무소일반행정사이유호인천광역시 남동구 복개서로 25, 2층 1호(구월동)
122022-02-17가교행정사일반행정사손인태인천광역시 남동구 서창방산로158번길 15-14, 301호(서창동)
232022-01-25행정사박종일사무소일반행정사박종일인천광역시 남동구 청능대로 581, 광성프라자 503-316호(논현동)
342022-01-18행정사사무소 JH일반행정사양장헌인천광역시 남동구 소래역로 36, 라마다호텔 3층 306-2호(논현동)
452022-01-18EIR행정사사무소일반행정사임원걸인천광역시 남동구 주안로 273, 401호(간석동)
562022-01-18한울 행정사 합동사무소일반행정사구본희인천광역시 남동구 복개동로 82, 3층(만수동)
672022-01-18한울 행정사 합동사무소일반행정사백승인인천광역시 남동구 복개동로 82, 3층(만수동)
782022-01-18한울 행정사 합동사무소일반행정사장성국인천광역시 남동구 복개동로 82, 3층(만수동)
892021-11-12아임유어행정사사무소일반행정사백경현인천광역시 남동구 구월남로 148, 13층(구월동)
9102003-11-03행정사박강헌일반행정사박강헌인천광역시 남동구 도리미로 8
일련번호신고일자사무소명칭행정사종류행정사 성명사무소 도로명전체주소
50512004-07-30김남수행정사일반행정사김남수인천광역시 남동구 만수동 1075번지 9호
51522005-01-11행정사이덕선사무소일반행정사이덕선인천광역시 남동구 논현동 111번지 209호
52532005-11-18행정사이문환사무소일반행정사이문환인천광역시 남동구 만수동 1030번지 101호
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