Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells11
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description2023년 6월기준 충청남도 계룡시에서 영업중인 행정사사무소 현황(사무소 명칭, 도로명주소, 전화번호)을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=39&beforeMenuCd=DOM_000000201001001000&publicdatapk=15116044

Alerts

운영상태 has constant value ""Constant
전화번호 has 11 (45.8%) missing valuesMissing
일련번호 has unique valuesUnique
사무소명칭 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:08:36.001149
Analysis finished2024-01-09 23:08:36.410187
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-10T08:08:36.482976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-01-10T08:08:36.590597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

사무소명칭
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-10T08:08:36.770627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length18
Mean length11.041667
Min length3

Characters and Unicode

Total characters265
Distinct characters92
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row김용희행정사사무소
2nd row정프로(J-PRO)행정탐정사사무소
3rd row인터내셔널 행정사사무소(International Office of Authorized Public Administrator)
4th row한양행정사사무소
5th row정현철행정사사무소
ValueCountFrequency (%)
행정사사무소 2
 
5.9%
김용희행정사사무소 1
 
2.9%
전문 1
 
2.9%
김주섭사무소 1
 
2.9%
김광성사무소 1
 
2.9%
정해명사무소 1
 
2.9%
용성종사무소 1
 
2.9%
행정사임장혁사무소 1
 
2.9%
민우행정사무소 1
 
2.9%
강병수행정사사무소 1
 
2.9%
Other values (23) 23
67.6%
2024-01-10T08:08:37.122378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 39
 
14.7%
무 23
 
8.7%
소 23
 
8.7%
정 21
 
7.9%
행 17
 
6.4%
10
 
3.8%
김 6
 
2.3%
i 6
 
2.3%
t 5
 
1.9%
o 4
 
1.5%
Other values (82) 111
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
74.0%
Lowercase Letter 45
 
17.0%
Space Separator 10
 
3.8%
Uppercase Letter 9
 
3.4%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 39
19.9%
무 23
 
11.7%
소 23
 
11.7%
정 21
 
10.7%
행 17
 
8.7%
김 6
 
3.1%
섭 3
 
1.5%
성 2
 
1.0%
현 2
 
1.0%
용 2
 
1.0%
Other values (55) 58
29.6%
Lowercase Letter
ValueCountFrequency (%)
i 6
13.3%
t 5
11.1%
o 4
8.9%
r 4
8.9%
n 4
8.9%
f 3
 
6.7%
e 3
 
6.7%
a 3
 
6.7%
d 2
 
4.4%
u 2
 
4.4%
Other values (7) 9
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
P 2
22.2%
O 2
22.2%
J 1
11.1%
R 1
11.1%
I 1
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
74.0%
Latin 54
 
20.4%
Common 15
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 39
19.9%
무 23
 
11.7%
소 23
 
11.7%
정 21
 
10.7%
행 17
 
8.7%
김 6
 
3.1%
섭 3
 
1.5%
성 2
 
1.0%
현 2
 
1.0%
용 2
 
1.0%
Other values (55) 58
29.6%
Latin
ValueCountFrequency (%)
i 6
 
11.1%
t 5
 
9.3%
o 4
 
7.4%
r 4
 
7.4%
n 4
 
7.4%
f 3
 
5.6%
e 3
 
5.6%
a 3
 
5.6%
d 2
 
3.7%
u 2
 
3.7%
Other values (13) 18
33.3%
Common
ValueCountFrequency (%)
10
66.7%
) 2
 
13.3%
( 2
 
13.3%
- 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
74.0%
ASCII 69
 
26.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 39
19.9%
무 23
 
11.7%
소 23
 
11.7%
정 21
 
10.7%
행 17
 
8.7%
김 6
 
3.1%
섭 3
 
1.5%
성 2
 
1.0%
현 2
 
1.0%
용 2
 
1.0%
Other values (55) 58
29.6%
ASCII
ValueCountFrequency (%)
10
 
14.5%
i 6
 
8.7%
t 5
 
7.2%
o 4
 
5.8%
r 4
 
5.8%
n 4
 
5.8%
f 3
 
4.3%
e 3
 
4.3%
a 3
 
4.3%
) 2
 
2.9%
Other values (17) 25
36.2%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
24 

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 24
100.0%

Length

2024-01-10T08:08:37.245483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:08:37.324110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
100.0%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-10T08:08:37.519628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length31.333333
Min length15

Characters and Unicode

Total characters752
Distinct characters79
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

Unique24 ?
Unique (%)100.0%

Sample

1st row 계룡시 엄사면 양정향한길 6， 101호
2nd row 계룡시 엄사면 엄사중앙로 65-9， 105-1505호(두산신성아파트)
3rd row 계룡시 두마면 사계로 101 (계룡 더 샵 아파트)
4th row 계룡시 엄사면 번영로 10
5th row 계룡시 엄사면 계백로 3051， 106동 1401호 (블루힐스)
ValueCountFrequency (%)
계룡시 24
 
15.2%
엄사면 12
 
7.6%
두마면 5
 
3.2%
금암동， 5
 
3.2%
사계로 5
 
3.2%
2호 5
 
3.2%
4호 4
 
2.5%
51， 3
 
1.9%
엄사중앙로 3
 
1.9%
14층 3
 
1.9%
Other values (75) 89
56.3%
2024-01-10T08:08:37.874040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
21.0%
1 48
 
6.4%
계 36
 
4.8%
룡 30
 
4.0%
시 24
 
3.2%
， 22
 
2.9%
동 20
 
2.7%
사 20
 
2.7%
) 18
 
2.4%
면 18
 
2.4%
Other values (69) 358
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
50.4%
Space Separator 158
21.0%
Decimal Number 147
 
19.5%
Other Punctuation 22
 
2.9%
Close Punctuation 18
 
2.4%
Open Punctuation 18
 
2.4%
Dash Punctuation 7
 
0.9%
Lowercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 36
 
9.5%
룡 30
 
7.9%
시 24
 
6.3%
동 20
 
5.3%
사 20
 
5.3%
면 18
 
4.7%
호 18
 
4.7%
로 17
 
4.5%
엄 15
 
4.0%
층 13
 
3.4%
Other values (53) 168
44.3%
Decimal Number
ValueCountFrequency (%)
1 48
32.7%
0 18
 
12.2%
5 16
 
10.9%
4 14
 
9.5%
3 13
 
8.8%
2 12
 
8.2%
6 11
 
7.5%
9 8
 
5.4%
7 4
 
2.7%
8 3
 
2.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
， 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
50.4%
Common 370
49.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 36
 
9.5%
룡 30
 
7.9%
시 24
 
6.3%
동 20
 
5.3%
사 20
 
5.3%
면 18
 
4.7%
호 18
 
4.7%
로 17
 
4.5%
엄 15
 
4.0%
층 13
 
3.4%
Other values (53) 168
44.3%
Common
ValueCountFrequency (%)
158
42.7%
1 48
 
13.0%
， 22
 
5.9%
) 18
 
4.9%
( 18
 
4.9%
0 18
 
4.9%
5 16
 
4.3%
4 14
 
3.8%
3 13
 
3.5%
2 12
 
3.2%
Other values (5) 33
 
8.9%
Latin
ValueCountFrequency (%)
e 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
50.4%
ASCII 351
46.7%
None 22
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
45.0%
1 48
 
13.7%
) 18
 
5.1%
( 18
 
5.1%
0 18
 
5.1%
5 16
 
4.6%
4 14
 
4.0%
3 13
 
3.7%
2 12
 
3.4%
6 11
 
3.1%
Other values (5) 25
 
7.1%
Hangul
ValueCountFrequency (%)
계 36
 
9.5%
룡 30
 
7.9%
시 24
 
6.3%
동 20
 
5.3%
사 20
 
5.3%
면 18
 
4.7%
호 18
 
4.7%
로 17
 
4.5%
엄 15
 
4.0%
층 13
 
3.4%
Other values (53) 168
44.3%
None
ValueCountFrequency (%)
， 22
100.0%

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing11
Missing (%)45.8%
Memory size324.0 B
2024-01-10T08:08:38.045385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.076923
Min length12

Characters and Unicode

Total characters157
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

Unique13 ?
Unique (%)100.0%

Sample

1st row042-551-5671
2nd row042-841-1122
3rd row070-7608-3635
4th row042-551-3672
5th row042-840-7171
ValueCountFrequency (%)
042-551-5671 1
 
7.7%
042-841-1122 1
 
7.7%
070-7608-3635 1
 
7.7%
042-551-3672 1
 
7.7%
042-840-7171 1
 
7.7%
042-841-3560 1
 
7.7%
042-551-2282 1
 
7.7%
042-551-0119 1
 
7.7%
042-840-5446 1
 
7.7%
042-551-2162 1
 
7.7%
Other values (3) 3
23.1%
2024-01-10T08:08:38.309952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
16.6%
2 23
14.6%
4 22
14.0%
0 20
12.7%
1 19
12.1%
5 16
10.2%
6 9
 
5.7%
8 8
 
5.1%
7 6
 
3.8%
3 5
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
83.4%
Dash Punctuation 26
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23
17.6%
4 22
16.8%
0 20
15.3%
1 19
14.5%
5 16
12.2%
6 9
 
6.9%
8 8
 
6.1%
7 6
 
4.6%
3 5
 
3.8%
9 3
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
16.6%
2 23
14.6%
4 22
14.0%
0 20
12.7%
1 19
12.1%
5 16
10.2%
6 9
 
5.7%
8 8
 
5.1%
7 6
 
3.8%
3 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
16.6%
2 23
14.6%
4 22
14.0%
0 20
12.7%
1 19
12.1%
5 16
10.2%
6 9
 
5.7%
8 8
 
5.1%
7 6
 
3.8%
3 5
 
3.2%

Interactions

2024-01-10T08:08:36.173470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:08:38.398762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호사무소명칭도로명주소전화번호
일련번호1.0001.0001.0001.000
사무소명칭1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-10T08:08:36.277217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:08:36.365703image/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

일련번호사무소명칭운영상태도로명주소전화번호
01김용희행정사사무소영업중계룡시 엄사면 양정향한길 6， 101호042-551-5671
12정프로(J-PRO)행정탐정사사무소영업중계룡시 엄사면 엄사중앙로 65-9， 105-1505호(두산신성아파트)<NA>
23인터내셔널 행정사사무소(International Office of Authorized Public Administrator)영업중계룡시 두마면 사계로 101 (계룡 더 샵 아파트)<NA>
34한양행정사사무소영업중계룡시 엄사면 번영로 10042-841-1122
45정현철행정사사무소영업중계룡시 엄사면 계백로 3051， 106동 1401호 (블루힐스)070-7608-3635
56국사봉영업중계룡시 두마면 사계로 51， 101동 12층 2호 (계룡대림e편한세상)042-551-3672
67행정사조동형사무소영업중계룡시 장안로 39， 2층 2호 (금암동， 호복빌딩)042-840-7171
78박무근행정사사무소영업중계룡시 엄사면 전원로 33<NA>
89김경열일반행정사사무소영업중계룡시 두마면 사계로 101， 105동 4층 2호 (계룡더샵아파트)042-841-3560
910에코 환경분야 전문 행정사사무소영업중계룡시 서금암로 51-9， 101동 1101호 (금암동， 주공아파트)<NA>
일련번호사무소명칭운영상태도로명주소전화번호
1415행정사변금섭사무소영업중계룡시 장안로 59-3， 1층 4호 (금암동， 천마빌딩)042-840-5446
1516청탄행정사영업중계룡시 장안로 75， 107동 14층 4호 (금암동， 우림루미아트아파트)042-551-2162
1617강병수행정사사무소영업중계룡시 엄사면 번영3길 91， 111동 14층 2호 (대동황토방아파트)<NA>
1718민우행정사무소영업중계룡시 두마면 사계로 51， 114동 5층 4호 (계룡대림e편한세상)<NA>
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1920용성종사무소영업중계룡시 엄사면 번영로 43， 103동 8층 5호 (경남무궁화아파트)<NA>
2021정해명사무소영업중계룡시 서금암4길 6-9， 103동 13층 3호 (금암동， 주공아파트)<NA>
2122김광성사무소영업중계룡시 신도안면 신도안2길 41， 146동 2층 8호 (계룡대아파트)042-551-3402
2223김주섭사무소영업중계룡시 엄사면 엄사중앙로 66， 9동 8층 6호 (성원아파트)042-841-9629
2324김순섭사무소영업중계룡시 엄사면 엄사중앙로 66， 10동 14층 2호 (성원아파트)042-841-2461