Overview

Dataset statistics

Number of variables7
Number of observations98
Missing cells8
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory58.3 B

Variable types

Numeric1
DateTime1
Categorical2
Text3

Dataset

Description경상북도 포항시 행정사 사무소에 대한 데이터로 행정사 사무소 업체명, 행정사 사무소 주소, 행정사 사무소 전화번호, 행정사 사무소 개업신고일 등을 제공합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15028778/fileData.do

Alerts

비고 has constant value ""Constant
종류 is highly imbalanced (85.6%)Imbalance
전화번호 has 8 (8.2%) missing valuesMissing
ROW_NO has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:48:56.206028
Analysis finished2023-12-12 20:48:57.598851
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

ROW_NO
Real number (ℝ)

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.5
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1014.0 B
2023-12-13T05:48:57.735121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.85
Q125.25
median49.5
Q373.75
95-th percentile93.15
Maximum98
Range97
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation28.434134
Coefficient of variation (CV)0.57442696
Kurtosis-1.2
Mean49.5
Median Absolute Deviation (MAD)24.5
Skewness0
Sum4851
Variance808.5
MonotonicityStrictly increasing
2023-12-13T05:48:57.910725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
75 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
Other values (88) 88
89.8%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%

신고일
Date

Distinct83
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size916.0 B
Minimum1994-07-06 00:00:00
Maximum2021-04-19 00:00:00
2023-12-13T05:48:58.067185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:58.244613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
일반행정사
96 
기술행정사
 
2

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 96
98.0%
기술행정사 2
 
2.0%

Length

2023-12-13T05:48:58.417264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:58.506622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 96
98.0%
기술행정사 2
 
2.0%

명칭
Text

Distinct97
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-13T05:48:58.712188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.9081633
Min length5

Characters and Unicode

Total characters873
Distinct characters120
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

Unique96 ?
Unique (%)98.0%

Sample

1st row김강섭행정사사무소
2nd row황용우 행정사 사무소
3rd row예스24행정사사무소
4th row김선고행정사사무소
5th row행정사정철용사무소
ValueCountFrequency (%)
사무소 7
 
6.0%
행정사 6
 
5.1%
행정사사무소 4
 
3.4%
포항행정사사무소 2
 
1.7%
강진식행정사사무소 1
 
0.9%
이진택행정사사무소 1
 
0.9%
신현기행정사사무소 1
 
0.9%
이대우행정사사무소 1
 
0.9%
정환성행정사사무소 1
 
0.9%
신임행정사사무소 1
 
0.9%
Other values (92) 92
78.6%
2023-12-13T05:48:59.139770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 187
21.4%
정 107
12.3%
행 98
11.2%
무 90
 
10.3%
소 90
 
10.3%
김 21
 
2.4%
19
 
2.2%
이 12
 
1.4%
해 8
 
0.9%
근 7
 
0.8%
Other values (110) 234
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
97.6%
Space Separator 19
 
2.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 187
21.9%
정 107
12.6%
행 98
11.5%
무 90
 
10.6%
소 90
 
10.6%
김 21
 
2.5%
이 12
 
1.4%
해 8
 
0.9%
근 7
 
0.8%
우 7
 
0.8%
Other values (107) 225
26.4%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
97.6%
Common 21
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 187
21.9%
정 107
12.6%
행 98
11.5%
무 90
 
10.6%
소 90
 
10.6%
김 21
 
2.5%
이 12
 
1.4%
해 8
 
0.9%
근 7
 
0.8%
우 7
 
0.8%
Other values (107) 225
26.4%
Common
ValueCountFrequency (%)
19
90.5%
4 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
97.6%
ASCII 21
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 187
21.9%
정 107
12.6%
행 98
11.5%
무 90
 
10.6%
소 90
 
10.6%
김 21
 
2.5%
이 12
 
1.4%
해 8
 
0.9%
근 7
 
0.8%
우 7
 
0.8%
Other values (107) 225
26.4%
ASCII
ValueCountFrequency (%)
19
90.5%
4 1
 
4.8%
2 1
 
4.8%

소재지
Text

Distinct88
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-13T05:48:59.472665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45.5
Mean length28.010204
Min length21

Characters and Unicode

Total characters2745
Distinct characters130
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

Unique78 ?
Unique (%)79.6%

Sample

1st row경상북도 포항시 남구 구룡포읍 병포길 7
2nd row경상북도 포항시 남구 대이로 100， 지하3호 (대잠동， 이동현대홈타운)
3rd row경상북도 포항시 남구 중섬로 16， 포항대잠코아루타워 225호 (대잠동)
4th row경상북도 포항시 북구 문화로 20 (덕산동)
5th row경상북도 포항시 남구 희망대로 795-2 (대도동)
ValueCountFrequency (%)
경상북도 98
 
15.4%
포항시 98
 
15.4%
북구 68
 
10.7%
남구 30
 
4.7%
덕산동 16
 
2.5%
중앙로 14
 
2.2%
덕수동 7
 
1.1%
장성동 7
 
1.1%
삼호로 7
 
1.1%
오천읍 6
 
0.9%
Other values (211) 284
44.7%
2023-12-13T05:48:59.935827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
537
19.6%
북 168
 
6.1%
도 122
 
4.4%
상 106
 
3.9%
포 104
 
3.8%
항 101
 
3.7%
구 100
 
3.6%
경 98
 
3.6%
시 98
 
3.6%
동 96
 
3.5%
Other values (120) 1215
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1653
60.2%
Space Separator 537
 
19.6%
Decimal Number 390
 
14.2%
Open Punctuation 63
 
2.3%
Close Punctuation 63
 
2.3%
Other Punctuation 22
 
0.8%
Dash Punctuation 14
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 168
 
10.2%
도 122
 
7.4%
상 106
 
6.4%
포 104
 
6.3%
항 101
 
6.1%
구 100
 
6.0%
경 98
 
5.9%
시 98
 
5.9%
동 96
 
5.8%
로 80
 
4.8%
Other values (102) 580
35.1%
Decimal Number
ValueCountFrequency (%)
1 82
21.0%
3 50
12.8%
2 45
11.5%
0 42
10.8%
7 35
9.0%
6 33
8.5%
5 30
 
7.7%
4 29
 
7.4%
8 25
 
6.4%
9 19
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
L 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
537
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Punctuation
ValueCountFrequency (%)
， 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1653
60.2%
Common 1089
39.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 168
 
10.2%
도 122
 
7.4%
상 106
 
6.4%
포 104
 
6.3%
항 101
 
6.1%
구 100
 
6.0%
경 98
 
5.9%
시 98
 
5.9%
동 96
 
5.8%
로 80
 
4.8%
Other values (102) 580
35.1%
Common
ValueCountFrequency (%)
537
49.3%
1 82
 
7.5%
( 63
 
5.8%
) 63
 
5.8%
3 50
 
4.6%
2 45
 
4.1%
0 42
 
3.9%
7 35
 
3.2%
6 33
 
3.0%
5 30
 
2.8%
Other values (5) 109
 
10.0%
Latin
ValueCountFrequency (%)
B 1
33.3%
L 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1653
60.2%
ASCII 1070
39.0%
None 22
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
537
50.2%
1 82
 
7.7%
( 63
 
5.9%
) 63
 
5.9%
3 50
 
4.7%
2 45
 
4.2%
0 42
 
3.9%
7 35
 
3.3%
6 33
 
3.1%
5 30
 
2.8%
Other values (7) 90
 
8.4%
Hangul
ValueCountFrequency (%)
북 168
 
10.2%
도 122
 
7.4%
상 106
 
6.4%
포 104
 
6.3%
항 101
 
6.1%
구 100
 
6.0%
경 98
 
5.9%
시 98
 
5.9%
동 96
 
5.8%
로 80
 
4.8%
Other values (102) 580
35.1%
None
ValueCountFrequency (%)
， 22
100.0%

전화번호
Text

MISSING 

Distinct88
Distinct (%)97.8%
Missing8
Missing (%)8.2%
Memory size916.0 B
2023-12-13T05:49:00.198438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022222
Min length12

Characters and Unicode

Total characters1082
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

Unique86 ?
Unique (%)95.6%

Sample

1st row054-276-9175
2nd row054-242-5450
3rd row054-261-5785
4th row070-7178-8289
5th row054-272-3169
ValueCountFrequency (%)
054-272-6451 2
 
2.2%
054-281-1795 2
 
2.2%
054-261-3737 1
 
1.1%
054-285-3969 1
 
1.1%
054-247-7746 1
 
1.1%
054-249-4357 1
 
1.1%
054-251-3316 1
 
1.1%
054-246-7498 1
 
1.1%
054-274-8399 1
 
1.1%
054-275-4356 1
 
1.1%
Other values (78) 78
86.7%
2023-12-13T05:49:00.570190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 180
16.6%
4 161
14.9%
5 139
12.8%
2 138
12.8%
0 135
12.5%
7 77
7.1%
1 57
 
5.3%
6 55
 
5.1%
3 52
 
4.8%
9 46
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
83.4%
Dash Punctuation 180
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 161
17.8%
5 139
15.4%
2 138
15.3%
0 135
15.0%
7 77
8.5%
1 57
 
6.3%
6 55
 
6.1%
3 52
 
5.8%
9 46
 
5.1%
8 42
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1082
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 180
16.6%
4 161
14.9%
5 139
12.8%
2 138
12.8%
0 135
12.5%
7 77
7.1%
1 57
 
5.3%
6 55
 
5.1%
3 52
 
4.8%
9 46
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 180
16.6%
4 161
14.9%
5 139
12.8%
2 138
12.8%
0 135
12.5%
7 77
7.1%
1 57
 
5.3%
6 55
 
5.1%
3 52
 
4.8%
9 46
 
4.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
영업중
98 

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 98
100.0%

Length

2023-12-13T05:49:00.709666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:49:00.789733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 98
100.0%

Interactions

2023-12-13T05:48:57.241552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:49:00.846592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ROW_NO신고일종류명칭소재지전화번호
ROW_NO1.0000.7660.0000.9420.8910.972
신고일0.7661.0001.0000.9980.7470.989
종류0.0001.0001.0001.0000.0001.000
명칭0.9420.9981.0001.0000.9960.997
소재지0.8910.7470.0000.9961.0001.000
전화번호0.9720.9891.0000.9971.0001.000
2023-12-13T05:49:00.938282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ROW_NO종류
ROW_NO1.0000.000
종류0.0001.000

Missing values

2023-12-13T05:48:57.399712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:48:57.539698image/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

ROW_NO신고일종류명칭소재지전화번호비고
012021-04-19일반행정사김강섭행정사사무소경상북도 포항시 남구 구룡포읍 병포길 7<NA>영업중
122021-04-06일반행정사황용우 행정사 사무소경상북도 포항시 남구 대이로 100， 지하3호 (대잠동， 이동현대홈타운)<NA>영업중
232010-07-20일반행정사예스24행정사사무소경상북도 포항시 남구 중섬로 16， 포항대잠코아루타워 225호 (대잠동)054-276-9175영업중
342001-04-20일반행정사김선고행정사사무소경상북도 포항시 북구 문화로 20 (덕산동)054-242-5450영업중
452001-09-28일반행정사행정사정철용사무소경상북도 포항시 남구 희망대로 795-2 (대도동)054-261-5785영업중
562020-09-21일반행정사대한 행정사 사무소경상북도 포항시 북구 흥해읍 달전로 290<NA>영업중
672019-04-29일반행정사행정사무소 이룸경상북도 포항시 남구 중섬로 16， 포항대잠코아루타워 1713호 (대잠동)070-7178-8289영업중
782020-07-24일반행정사우신 행정사 사무소경상북도 포항시 북구 문화로 20 (덕산동)054-272-3169영업중
892016-04-05일반행정사한철희 행정사사무소경상북도 포항시 북구 성실로 38， 상가동 1층 103호 (장성동， 현진에버빌2단지아파트)054-242-6699영업중
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