Overview

Dataset statistics

Number of variables11
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)6.2%
Total size in memory2.9 KiB
Average record size in memory94.1 B

Variable types

Text5
Categorical3
Numeric2
DateTime1

Dataset

Description양천구 무인민원 발급정보로 설치장소,설치위치,운영시간,발급민원종류,소재지도로명주소,소재지지번주소,관리기관명,전화번호,위도,경도,데이터기준일자 항목을 제공합니다.
Author서울특별시 양천구
URLhttps://www.data.go.kr/data/15009078/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (6.2%) duplicate rowsDuplicates
설치위치 is highly overall correlated with 운영시간 and 1 other fieldsHigh correlation
운영시간 is highly overall correlated with 설치위치 and 1 other fieldsHigh correlation
발급민원종류 is highly overall correlated with 설치위치 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 22:52:30.622766
Analysis finished2023-12-12 22:52:31.720930
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:52:31.851948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.0625
Min length4

Characters and Unicode

Total characters290
Distinct characters57
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 (%)87.5%

Sample

1st row목1동 주민센터
2nd row목1동 주민센터
3rd row목2동 주민센터
4th row목2동 주민센터
5th row목3동 주민센터
ValueCountFrequency (%)
주민센터 20
34.5%
kiosk 5
 
8.6%
신정3동 2
 
3.4%
목1동 2
 
3.4%
목2동 2
 
3.4%
양천세무서 1
 
1.7%
양천구청민원실 1
 
1.7%
이대목동병원 1
 
1.7%
목동역kiosk 1
 
1.7%
신정1동 1
 
1.7%
Other values (22) 22
37.9%
2023-12-13T07:52:32.239062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.0%
동 23
 
7.9%
민 23
 
7.9%
주 20
 
6.9%
센 20
 
6.9%
터 20
 
6.9%
신 15
 
5.2%
K 14
 
4.8%
목 10
 
3.4%
월 7
 
2.4%
Other values (47) 112
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
71.4%
Uppercase Letter 35
 
12.1%
Space Separator 26
 
9.0%
Decimal Number 22
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
11.1%
민 23
11.1%
주 20
 
9.7%
센 20
 
9.7%
터 20
 
9.7%
신 15
 
7.2%
목 10
 
4.8%
월 7
 
3.4%
정 7
 
3.4%
원 6
 
2.9%
Other values (35) 56
27.1%
Decimal Number
ValueCountFrequency (%)
2 5
22.7%
1 4
18.2%
3 4
18.2%
4 3
13.6%
7 2
 
9.1%
6 2
 
9.1%
5 2
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
K 14
40.0%
S 7
20.0%
I 7
20.0%
O 7
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
71.4%
Common 48
 
16.6%
Latin 35
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
11.1%
민 23
11.1%
주 20
 
9.7%
센 20
 
9.7%
터 20
 
9.7%
신 15
 
7.2%
목 10
 
4.8%
월 7
 
3.4%
정 7
 
3.4%
원 6
 
2.9%
Other values (35) 56
27.1%
Common
ValueCountFrequency (%)
26
54.2%
2 5
 
10.4%
1 4
 
8.3%
3 4
 
8.3%
4 3
 
6.2%
7 2
 
4.2%
6 2
 
4.2%
5 2
 
4.2%
Latin
ValueCountFrequency (%)
K 14
40.0%
S 7
20.0%
I 7
20.0%
O 7
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
71.4%
ASCII 83
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
31.3%
K 14
16.9%
S 7
 
8.4%
I 7
 
8.4%
O 7
 
8.4%
2 5
 
6.0%
1 4
 
4.8%
3 4
 
4.8%
4 3
 
3.6%
7 2
 
2.4%
Other values (2) 4
 
4.8%
Hangul
ValueCountFrequency (%)
동 23
11.1%
민 23
11.1%
주 20
 
9.7%
센 20
 
9.7%
터 20
 
9.7%
신 15
 
7.2%
목 10
 
4.8%
월 7
 
3.4%
정 7
 
3.4%
원 6
 
2.9%
Other values (35) 56
27.1%

설치위치
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
민원실
21 
1층 현관
3 
은행1층
 
2
법원 2층
 
1
지하철(지하1층)
 
1
Other values (4)
4 

Length

Max length11
Median length3
Mean length3.90625
Min length3

Unique

Unique6 ?
Unique (%)18.8%

Sample

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

Common Values

ValueCountFrequency (%)
민원실 21
65.6%
1층 현관 3
 
9.4%
은행1층 2
 
6.2%
법원 2층 1
 
3.1%
지하철(지하1층) 1
 
3.1%
1층 로비 1
 
3.1%
1층민원실 1
 
3.1%
1층로비 1
 
3.1%
지하2층11번기둥 앞 1
 
3.1%

Length

2023-12-13T07:52:32.427327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:32.588803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민원실 21
55.3%
1층 4
 
10.5%
현관 3
 
7.9%
은행1층 2
 
5.3%
법원 1
 
2.6%
2층 1
 
2.6%
지하철(지하1층 1
 
2.6%
로비 1
 
2.6%
1층민원실 1
 
2.6%
1층로비 1
 
2.6%
Other values (2) 2
 
5.3%

운영시간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
09:00~18:00
25 
00:00~23:59
5 
09:00~16:00
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00~18:00
2nd row09:00~18:00
3rd row09:00~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 25
78.1%
00:00~23:59 5
 
15.6%
09:00~16:00 2
 
6.2%

Length

2023-12-13T07:52:32.716555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:32.840547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 25
78.1%
00:00~23:59 5
 
15.6%
09:00~16:00 2
 
6.2%

발급민원종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본
21 
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장
10 
등기부등본+
 
1

Length

Max length36
Median length36
Mean length33.1875
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본
2nd row주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본
3rd row주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본
4th row주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본
5th row주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본

Common Values

ValueCountFrequency (%)
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본 21
65.6%
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장 10
31.2%
등기부등본+ 1
 
3.1%

Length

2023-12-13T07:52:32.978748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:33.095633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본 21
65.6%
주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장 10
31.2%
등기부등본 1
 
3.1%

소재지도로명주소
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:52:33.340159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length23
Min length17

Characters and Unicode

Total characters736
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row서울특별시 양천구 목동서로 192(목동)
2nd row서울특별시 양천구 목동서로 192(목동)
3rd row서울특별시 양천구 목동중앙본로 120(목동)
4th row서울특별시 양천구 목동중앙본로 120(목동)
5th row서울특별시 양천구 목동중앙남로16나길 55(목동)
ValueCountFrequency (%)
서울특별시 32
25.0%
양천구 32
25.0%
목동동로 6
 
4.7%
목동서로 4
 
3.1%
192(목동 2
 
1.6%
목동중앙본로 2
 
1.6%
120(목동 2
 
1.6%
105(신정동 2
 
1.6%
신월로 2
 
1.6%
오목로 2
 
1.6%
Other values (42) 42
32.8%
2023-12-13T07:52:33.954970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
13.0%
동 51
 
6.9%
서 36
 
4.9%
천 33
 
4.5%
양 33
 
4.5%
울 32
 
4.3%
로 32
 
4.3%
구 32
 
4.3%
시 32
 
4.3%
별 32
 
4.3%
Other values (36) 327
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
65.2%
Decimal Number 99
 
13.5%
Space Separator 96
 
13.0%
Open Punctuation 30
 
4.1%
Close Punctuation 29
 
3.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
10.6%
서 36
 
7.5%
천 33
 
6.9%
양 33
 
6.9%
울 32
 
6.7%
로 32
 
6.7%
구 32
 
6.7%
시 32
 
6.7%
별 32
 
6.7%
특 32
 
6.7%
Other values (22) 135
28.1%
Decimal Number
ValueCountFrequency (%)
1 20
20.2%
5 16
16.2%
2 11
11.1%
3 11
11.1%
0 10
10.1%
4 10
10.1%
8 6
 
6.1%
6 6
 
6.1%
7 5
 
5.1%
9 4
 
4.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
65.2%
Common 256
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
10.6%
서 36
 
7.5%
천 33
 
6.9%
양 33
 
6.9%
울 32
 
6.7%
로 32
 
6.7%
구 32
 
6.7%
시 32
 
6.7%
별 32
 
6.7%
특 32
 
6.7%
Other values (22) 135
28.1%
Common
ValueCountFrequency (%)
96
37.5%
( 30
 
11.7%
) 29
 
11.3%
1 20
 
7.8%
5 16
 
6.2%
2 11
 
4.3%
3 11
 
4.3%
0 10
 
3.9%
4 10
 
3.9%
8 6
 
2.3%
Other values (4) 17
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
65.2%
ASCII 256
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
37.5%
( 30
 
11.7%
) 29
 
11.3%
1 20
 
7.8%
5 16
 
6.2%
2 11
 
4.3%
3 11
 
4.3%
0 10
 
3.9%
4 10
 
3.9%
8 6
 
2.3%
Other values (4) 17
 
6.6%
Hangul
ValueCountFrequency (%)
동 51
 
10.6%
서 36
 
7.5%
천 33
 
6.9%
양 33
 
6.9%
울 32
 
6.7%
로 32
 
6.7%
구 32
 
6.7%
시 32
 
6.7%
별 32
 
6.7%
특 32
 
6.7%
Other values (22) 135
28.1%

소재지지번주소
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:52:34.321883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.78125
Min length17

Characters and Unicode

Total characters601
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row서울특별시 양천구 목동 919-3
2nd row서울특별시 양천구 목동 919-3
3rd row서울특별시 양천구 목동 530-6
4th row서울특별시 양천구 목동 530-6
5th row서울특별시 양천구 목동 642-1
ValueCountFrequency (%)
서울특별시 32
25.0%
양천구 32
25.0%
신정동 14
10.9%
목동 10
 
7.8%
신월동 8
 
6.2%
919-3 2
 
1.6%
530-6 2
 
1.6%
321 2
 
1.6%
926-3 1
 
0.8%
329-9 1
 
0.8%
Other values (24) 24
18.8%
2023-12-13T07:52:34.966333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.0%
서 32
 
5.3%
울 32
 
5.3%
특 32
 
5.3%
별 32
 
5.3%
시 32
 
5.3%
양 32
 
5.3%
천 32
 
5.3%
구 32
 
5.3%
동 32
 
5.3%
Other values (15) 217
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
56.9%
Decimal Number 135
 
22.5%
Space Separator 96
 
16.0%
Dash Punctuation 28
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 32
9.4%
울 32
9.4%
특 32
9.4%
별 32
9.4%
시 32
9.4%
양 32
9.4%
천 32
9.4%
구 32
9.4%
동 32
9.4%
신 22
6.4%
Other values (3) 32
9.4%
Decimal Number
ValueCountFrequency (%)
1 27
20.0%
3 22
16.3%
2 20
14.8%
9 17
12.6%
5 13
9.6%
0 10
 
7.4%
6 10
 
7.4%
4 8
 
5.9%
8 4
 
3.0%
7 4
 
3.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
56.9%
Common 259
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 32
9.4%
울 32
9.4%
특 32
9.4%
별 32
9.4%
시 32
9.4%
양 32
9.4%
천 32
9.4%
구 32
9.4%
동 32
9.4%
신 22
6.4%
Other values (3) 32
9.4%
Common
ValueCountFrequency (%)
96
37.1%
- 28
 
10.8%
1 27
 
10.4%
3 22
 
8.5%
2 20
 
7.7%
9 17
 
6.6%
5 13
 
5.0%
0 10
 
3.9%
6 10
 
3.9%
4 8
 
3.1%
Other values (2) 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
56.9%
ASCII 259
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
37.1%
- 28
 
10.8%
1 27
 
10.4%
3 22
 
8.5%
2 20
 
7.7%
9 17
 
6.6%
5 13
 
5.0%
0 10
 
3.9%
6 10
 
3.9%
4 8
 
3.1%
Other values (2) 8
 
3.1%
Hangul
ValueCountFrequency (%)
서 32
9.4%
울 32
9.4%
특 32
9.4%
별 32
9.4%
시 32
9.4%
양 32
9.4%
천 32
9.4%
구 32
9.4%
동 32
9.4%
신 22
6.4%
Other values (3) 32
9.4%

관리기관명
Text

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:52:35.170339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.75
Min length16

Characters and Unicode

Total characters568
Distinct characters30
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

Unique15 ?
Unique (%)46.9%

Sample

1st row서울특별시 양천구 목1동 주민센터
2nd row서울특별시 양천구 목1동 주민센터
3rd row서울특별시 양천구 목2동 주민센터
4th row서울특별시 양천구 목2동 주민센터
5th row서울특별시 양천구 목3동 주민센터
ValueCountFrequency (%)
서울특별시 32
27.4%
양천구 21
17.9%
주민센터 21
17.9%
민원여권과 11
 
9.4%
양천구청 11
 
9.4%
신정3동 2
 
1.7%
목1동 2
 
1.7%
목2동 2
 
1.7%
목4동 1
 
0.9%
목5동 1
 
0.9%
Other values (13) 13
11.1%
2023-12-13T07:52:35.483570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
15.0%
서 32
 
5.6%
울 32
 
5.6%
특 32
 
5.6%
별 32
 
5.6%
시 32
 
5.6%
양 32
 
5.6%
천 32
 
5.6%
구 32
 
5.6%
민 32
 
5.6%
Other values (20) 195
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
81.3%
Space Separator 85
 
15.0%
Decimal Number 21
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 32
 
6.9%
울 32
 
6.9%
특 32
 
6.9%
별 32
 
6.9%
시 32
 
6.9%
양 32
 
6.9%
천 32
 
6.9%
구 32
 
6.9%
민 32
 
6.9%
터 21
 
4.5%
Other values (12) 153
33.1%
Decimal Number
ValueCountFrequency (%)
3 4
19.0%
1 4
19.0%
2 4
19.0%
4 3
14.3%
7 2
9.5%
6 2
9.5%
5 2
9.5%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
81.3%
Common 106
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 32
 
6.9%
울 32
 
6.9%
특 32
 
6.9%
별 32
 
6.9%
시 32
 
6.9%
양 32
 
6.9%
천 32
 
6.9%
구 32
 
6.9%
민 32
 
6.9%
터 21
 
4.5%
Other values (12) 153
33.1%
Common
ValueCountFrequency (%)
85
80.2%
3 4
 
3.8%
1 4
 
3.8%
2 4
 
3.8%
4 3
 
2.8%
7 2
 
1.9%
6 2
 
1.9%
5 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
81.3%
ASCII 106
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
80.2%
3 4
 
3.8%
1 4
 
3.8%
2 4
 
3.8%
4 3
 
2.8%
7 2
 
1.9%
6 2
 
1.9%
5 2
 
1.9%
Hangul
ValueCountFrequency (%)
서 32
 
6.9%
울 32
 
6.9%
특 32
 
6.9%
별 32
 
6.9%
시 32
 
6.9%
양 32
 
6.9%
천 32
 
6.9%
구 32
 
6.9%
민 32
 
6.9%
터 21
 
4.5%
Other values (12) 153
33.1%

전화번호
Text

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:52:35.675417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique17 ?
Unique (%)53.1%

Sample

1st row02-2620-3951
2nd row02-2620-3951
3rd row02-2084-5289
4th row02-2084-5289
5th row02-2620-3996
ValueCountFrequency (%)
02-2620-3131 11
34.4%
02-2084-5289 2
 
6.2%
02-2620-3951 2
 
6.2%
02-2620-4045 1
 
3.1%
02-2620-4010 1
 
3.1%
02-2620-4237 1
 
3.1%
02-2620-4218 1
 
3.1%
02-2620-4207 1
 
3.1%
02-2620-4309 1
 
3.1%
02-2620-4294 1
 
3.1%
Other values (10) 10
31.2%
2023-12-13T07:52:35.974085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 102
26.6%
0 74
19.3%
- 64
16.7%
6 32
 
8.3%
1 31
 
8.1%
3 28
 
7.3%
4 23
 
6.0%
9 11
 
2.9%
5 8
 
2.1%
7 6
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
31.9%
0 74
23.1%
6 32
 
10.0%
1 31
 
9.7%
3 28
 
8.8%
4 23
 
7.2%
9 11
 
3.4%
5 8
 
2.5%
7 6
 
1.9%
8 5
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 102
26.6%
0 74
19.3%
- 64
16.7%
6 32
 
8.3%
1 31
 
8.1%
3 28
 
7.3%
4 23
 
6.0%
9 11
 
2.9%
5 8
 
2.1%
7 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 102
26.6%
0 74
19.3%
- 64
16.7%
6 32
 
8.3%
1 31
 
8.1%
3 28
 
7.3%
4 23
 
6.0%
9 11
 
2.9%
5 8
 
2.1%
7 6
 
1.6%

위도
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.52509
Minimum37.508817
Maximum37.546143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T07:52:36.112945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.508817
5-th percentile37.511755
Q137.517075
median37.523359
Q337.532527
95-th percentile37.545372
Maximum37.546143
Range0.03732603
Interquartile range (IQR)0.015451555

Descriptive statistics

Standard deviation0.010332516
Coefficient of variation (CV)0.00027534954
Kurtosis-0.50565498
Mean37.52509
Median Absolute Deviation (MAD)0.00700579
Skewness0.5893238
Sum1200.8029
Variance0.00010676089
MonotonicityNot monotonic
2023-12-13T07:52:36.236328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
37.53036455 2
 
6.2%
37.54614341 2
 
6.2%
37.51707502 2
 
6.2%
37.524553 1
 
3.1%
37.51201936 1
 
3.1%
37.52054226 1
 
3.1%
37.53698302 1
 
3.1%
37.526198 1
 
3.1%
37.51935757 1
 
3.1%
37.50881738 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
37.50881738 1
3.1%
37.51143264 1
3.1%
37.51201936 1
3.1%
37.51440008 1
3.1%
37.51454576 1
3.1%
37.51514742 1
3.1%
37.51705815 1
3.1%
37.51707502 2
6.2%
37.51857061 1
3.1%
37.51921319 1
3.1%
ValueCountFrequency (%)
37.54614341 2
6.2%
37.54474055 1
3.1%
37.53858312 1
3.1%
37.53718352 1
3.1%
37.53698302 1
3.1%
37.5336304 1
3.1%
37.53280499 1
3.1%
37.53243377 1
3.1%
37.53036455 2
6.2%
37.526198 1
3.1%

경도
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.85799
Minimum126.82717
Maximum126.88675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T07:52:36.357411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82717
5-th percentile126.83043
Q1126.84338
median126.86441
Q3126.87012
95-th percentile126.87805
Maximum126.88675
Range0.0595725
Interquartile range (IQR)0.026740125

Descriptive statistics

Standard deviation0.016321919
Coefficient of variation (CV)0.00012866292
Kurtosis-0.8797754
Mean126.85799
Median Absolute Deviation (MAD)0.0079479
Skewness-0.46854259
Sum4059.4556
Variance0.00026640504
MonotonicityNot monotonic
2023-12-13T07:52:36.481999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.8711885 2
 
6.2%
126.8717 2
 
6.2%
126.866542 2
 
6.2%
126.87505 1
 
3.1%
126.8331299 1
 
3.1%
126.8699385 1
 
3.1%
126.886746 1
 
3.1%
126.864743 1
 
3.1%
126.8440047 1
 
3.1%
126.8657966 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
126.8271735 1
3.1%
126.8290812 1
3.1%
126.8315268 1
3.1%
126.8331299 1
3.1%
126.8347098 1
3.1%
126.8400794 1
3.1%
126.8409607 1
3.1%
126.8415147 1
3.1%
126.8440047 1
3.1%
126.8445677 1
3.1%
ValueCountFrequency (%)
126.886746 1
3.1%
126.8817175 1
3.1%
126.87505 1
3.1%
126.8717 2
6.2%
126.8711885 2
6.2%
126.8706738 1
3.1%
126.8699385 1
3.1%
126.869624 1
3.1%
126.8683972 1
3.1%
126.866542 2
6.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2020-05-01 00:00:00
Maximum2020-05-01 00:00:00
2023-12-13T07:52:36.585343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:36.672503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:52:31.211169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:31.023964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:31.304809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:31.126875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:52:36.743117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도
설치장소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치위치1.0001.0000.9980.9411.0001.0000.0000.0000.4690.563
운영시간1.0000.9981.0000.8350.8840.8840.0000.0000.0000.000
발급민원종류1.0000.9410.8351.0000.0001.0000.0000.0000.0000.000
소재지도로명주소1.0001.0000.8840.0001.0000.9991.0001.0001.0001.000
소재지지번주소1.0001.0000.8841.0000.9991.0001.0001.0001.0000.989
관리기관명1.0000.0000.0000.0001.0001.0001.0001.0000.8560.823
전화번호1.0000.0000.0000.0001.0001.0001.0001.0000.8760.835
위도1.0000.4690.0000.0001.0001.0000.8560.8761.0000.712
경도1.0000.5630.0000.0001.0000.9890.8230.8350.7121.000
2023-12-13T07:52:36.870999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간설치위치발급민원종류
운영시간1.0000.8410.510
설치위치0.8411.0000.633
발급민원종류0.5100.6331.000
2023-12-13T07:52:36.981971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치위치운영시간발급민원종류
위도1.0000.2700.1310.0000.000
경도0.2701.0000.1840.0000.000
설치위치0.1310.1841.0000.8410.633
운영시간0.0000.0000.8411.0000.510
발급민원종류0.0000.0000.6330.5101.000

Missing values

2023-12-13T07:52:31.443331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:52:31.651885image/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

설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도데이터기준일자
0목1동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동서로 192(목동)서울특별시 양천구 목동 919-3서울특별시 양천구 목1동 주민센터02-2620-395137.530365126.8711892020-05-01
1목1동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동서로 192(목동)서울특별시 양천구 목동 919-3서울특별시 양천구 목1동 주민센터02-2620-395137.530365126.8711892020-05-01
2목2동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동중앙본로 120(목동)서울특별시 양천구 목동 530-6서울특별시 양천구 목2동 주민센터02-2084-528937.546143126.87172020-05-01
3목2동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동중앙본로 120(목동)서울특별시 양천구 목동 530-6서울특별시 양천구 목2동 주민센터02-2084-528937.546143126.87172020-05-01
4목3동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동중앙남로16나길 55(목동)서울특별시 양천구 목동 642-1서울특별시 양천구 목3동 주민센터02-2620-399637.544741126.8644382020-05-01
5목4동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동중앙로 25(목동)서울특별시 양천구 목동 904-19서울특별시 양천구 목4동 주민센터02-2620-401037.532434126.8683972020-05-01
6목5동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동서로 41(목동)서울특별시 양천구 목동 908-32서울특별시 양천구 목5동 주민센터02-2620-402437.537184126.8817172020-05-01
7신월1동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 곰달래로1길 38(신월동)서울특별시 양천구 신월동 135-18서울특별시 양천구 신월1동 주민센터02-2620-405437.532805126.8315272020-05-01
8신월2동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 중앙로53길 47(신월동)서울특별시 양천구 신월동 483-11서울특별시 양천구 신월2동 주민센터02-2620-407737.524973126.8445682020-05-01
9신월3동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 남부순환로54길 5(신월동)서울특별시 양천구 신월동 167-5서울특별시 양천구 신월3동 주민센터02-2620-409437.53363126.8290812020-05-01
설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도데이터기준일자
22서울출입국관리사무소 KIOSK1층 현관09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 목동동로 151(신정동)서울특별시 양천구 신정동 321서울특별시 양천구청 민원여권과02-2620-313137.519234126.8696242020-05-01
23신오새마을금고 KIOSK은행1층09:00~16:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 목동남로4길 26(신정동)서울특별시 양천구 신정동 175-6서울특별시 양천구청 민원여권과02-2620-313137.508817126.8657972020-05-01
24금빛새마을금고은행1층09:00~16:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 신월로 188(신월동서울특별시 양천구 신월동 601-3서울특별시 양천구청 민원여권과02-2620-313137.519358126.8440052020-05-01
25양천구청민원실KIOSK21층 현관00:00~23:59주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 목동동로 105(신정동)서울특별시 양천구 신정동 321서울특별시 양천구청 민원여권과02-2620-313137.517075126.8665422020-05-01
26목동역KIOSK지하철(지하1층)00:00~23:59주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 오목로 245서울특별시 양천구 목동 926-3서울특별시 양천구청 민원여권과02-2620-313137.526198126.8647432020-05-01
27이대목동병원 KIOSK1층 로비00:00~23:59주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 안양천로 1071(목동)서울특별시 양천구 목동 911-1서울특별시 양천구청 민원여권과02-2620-313137.536983126.8867462020-05-01
28양천구청민원실 KIOSK1층 현관09:00~18:00등기부등본+서울특별시 양천구 목동동로 105(신정동)서울특별시 양천구 신정동 321-4서울특별시 양천구청 민원여권과02-2620-313137.517075126.8665422020-05-01
29양천세무서1층민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 목동동로 165(신정동)서울특별시 양천구 신정동 319-12서울특별시 양천구청 민원여권과02-2620-313137.520542126.8699392020-05-01
30서남병원1층로비00:00~23:59주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 신정이펜1로 20(신정동)서울특별시 양천구 신정동 1320-7서울특별시 양천구청 민원여권과02-2620-313137.512019126.833132020-05-01
31오목교역지하2층11번기둥 앞00:00~23:59주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장서울특별시 양천구 오목로 342서울특별시 양천구 목동 406-30서울특별시 양천구청 민원여권과02-2620-313137.524553126.875052020-05-01

Duplicate rows

Most frequently occurring

설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도데이터기준일자# duplicates
0목1동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동서로 192(목동)서울특별시 양천구 목동 919-3서울특별시 양천구 목1동 주민센터02-2620-395137.530365126.8711892020-05-012
1목2동 주민센터민원실09:00~18:00주민등록등초본+가족관계등록부+교육제증명+토지/건축물대장+등기부등본서울특별시 양천구 목동중앙본로 120(목동)서울특별시 양천구 목동 530-6서울특별시 양천구 목2동 주민센터02-2084-528937.546143126.87172020-05-012