Overview

Dataset statistics

Number of variables5
Number of observations161
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory40.8 B

Variable types

Text4
Categorical1

Dataset

Description부산광역시북부교육지원청 관내 공·사립 유치원, 초등학교, 중학교의 명부로 연번, 구분(유치원, 초등학교, 중학교), 학교명, 설립별(공립, 사립), 전화, 우편번호, 주소로 구성되어 있습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15059936/fileData.do

Alerts

기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-02-10 05:58:35.878133
Analysis finished2024-02-10 05:58:37.906398
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-02-10T05:58:38.328664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2546584
Min length5

Characters and Unicode

Total characters1168
Distinct characters137
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

Unique161 ?
Unique (%)100.0%

Sample

1st row21세기유치원
2nd row구남초등학교병설유치원
3rd row구포성당부설소화유치원
4th row그린코아유치원
5th row금곡나래(단설)유치원
ValueCountFrequency (%)
21세기유치원 1
 
0.6%
화신중학교 1
 
0.6%
대저초등학교 1
 
0.6%
현대유치원(휴원 1
 
0.6%
가락초등학교 1
 
0.6%
남명초등학교 1
 
0.6%
녹명초등학교 1
 
0.6%
녹산초등학교 1
 
0.6%
대사초등학교 1
 
0.6%
대상초등학교 1
 
0.6%
Other values (151) 151
93.8%
2024-02-10T05:58:39.178372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 99
 
8.5%
원 99
 
8.5%
교 97
 
8.3%
유 90
 
7.7%
치 90
 
7.7%
초 72
 
6.2%
등 71
 
6.1%
설 41
 
3.5%
명 36
 
3.1%
병 26
 
2.2%
Other values (127) 447
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1126
96.4%
Open Punctuation 20
 
1.7%
Close Punctuation 20
 
1.7%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 99
 
8.8%
원 99
 
8.8%
교 97
 
8.6%
유 90
 
8.0%
치 90
 
8.0%
초 72
 
6.4%
등 71
 
6.3%
설 41
 
3.6%
명 36
 
3.2%
병 26
 
2.3%
Other values (123) 405
36.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1126
96.4%
Common 42
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 99
 
8.8%
원 99
 
8.8%
교 97
 
8.6%
유 90
 
8.0%
치 90
 
8.0%
초 72
 
6.4%
등 71
 
6.3%
설 41
 
3.6%
명 36
 
3.2%
병 26
 
2.3%
Other values (123) 405
36.0%
Common
ValueCountFrequency (%)
( 20
47.6%
) 20
47.6%
2 1
 
2.4%
1 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1126
96.4%
ASCII 42
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 99
 
8.8%
원 99
 
8.8%
교 97
 
8.6%
유 90
 
8.0%
치 90
 
8.0%
초 72
 
6.4%
등 71
 
6.3%
설 41
 
3.6%
명 36
 
3.2%
병 26
 
2.3%
Other values (123) 405
36.0%
ASCII
ValueCountFrequency (%)
( 20
47.6%
) 20
47.6%
2 1
 
2.4%
1 1
 
2.4%

구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공립
109 
사립
52 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row공립
3rd row사립
4th row사립
5th row공립

Common Values

ValueCountFrequency (%)
공립 109
67.7%
사립 52
32.3%

Length

2024-02-10T05:58:39.608429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-10T05:58:40.087553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 109
67.7%
사립 52
32.3%

전화번호
Text

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-02-10T05:58:40.752914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012422
Min length12

Characters and Unicode

Total characters1934
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)100.0%

Sample

1st row051-343-5200
2nd row051-336-6602
3rd row051-332-6315
4th row051-336-8751
5th row051-790-9500
ValueCountFrequency (%)
051-336-6602 2
 
1.2%
051-343-5200 1
 
0.6%
051-971-1446 1
 
0.6%
051-972-6171 1
 
0.6%
051-972-8055 1
 
0.6%
051-260-0200 1
 
0.6%
051-971-5144 1
 
0.6%
051-979-1000 1
 
0.6%
051-970-0302 1
 
0.6%
051-971-6311 1
 
0.6%
Other values (150) 150
93.2%
2024-02-10T05:58:41.900899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 398
20.6%
- 322
16.6%
1 266
13.8%
3 228
11.8%
5 220
11.4%
2 109
 
5.6%
7 108
 
5.6%
6 97
 
5.0%
9 75
 
3.9%
4 66
 
3.4%
Other values (2) 45
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1610
83.2%
Dash Punctuation 322
 
16.6%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 398
24.7%
1 266
16.5%
3 228
14.2%
5 220
13.7%
2 109
 
6.8%
7 108
 
6.7%
6 97
 
6.0%
9 75
 
4.7%
4 66
 
4.1%
8 43
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 398
20.6%
- 322
16.6%
1 266
13.8%
3 228
11.8%
5 220
11.4%
2 109
 
5.6%
7 108
 
5.6%
6 97
 
5.0%
9 75
 
3.9%
4 66
 
3.4%
Other values (2) 45
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 398
20.6%
- 322
16.6%
1 266
13.8%
3 228
11.8%
5 220
11.4%
2 109
 
5.6%
7 108
 
5.6%
6 97
 
5.0%
9 75
 
3.9%
4 66
 
3.4%
Other values (2) 45
 
2.3%

홈페이지
Text

Distinct129
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-02-10T05:58:42.410599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length24.391304
Min length7

Characters and Unicode

Total characters3927
Distinct characters41
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

Unique128 ?
Unique (%)79.5%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th rowhttp://school.busanedu.net/gnr-k
ValueCountFrequency (%)
데이터 33
 
17.0%
미집계 33
 
17.0%
http://hwamyong.ms.kr 1
 
0.5%
http://school.busanedu.net/chunga-k 1
 
0.5%
http://www.baeyeong.es.kr 1
 
0.5%
http://myungho.es.kr 1
 
0.5%
http://myungji.es.kr 1
 
0.5%
http://myeong1.es.kr 1
 
0.5%
http://myoungwon.es.kr 1
 
0.5%
http://www.deokdu.es.kr 1
 
0.5%
Other values (120) 120
61.9%
2024-02-10T05:58:43.522646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 391
 
10.0%
t 319
 
8.1%
. 284
 
7.2%
s 236
 
6.0%
e 226
 
5.8%
n 225
 
5.7%
h 220
 
5.6%
o 194
 
4.9%
k 173
 
4.4%
u 173
 
4.4%
Other values (31) 1486
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2816
71.7%
Other Punctuation 803
 
20.4%
Other Letter 198
 
5.0%
Dash Punctuation 62
 
1.6%
Space Separator 34
 
0.9%
Decimal Number 12
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 319
11.3%
s 236
 
8.4%
e 226
 
8.0%
n 225
 
8.0%
h 220
 
7.8%
o 194
 
6.9%
k 173
 
6.1%
u 173
 
6.1%
a 144
 
5.1%
p 136
 
4.8%
Other values (13) 770
27.3%
Other Letter
ValueCountFrequency (%)
데 33
16.7%
이 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%
Decimal Number
ValueCountFrequency (%)
7 4
33.3%
1 3
25.0%
9 2
16.7%
3 2
16.7%
2 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 391
48.7%
. 284
35.4%
: 128
 
15.9%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
E 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2818
71.8%
Common 911
 
23.2%
Hangul 198
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 319
11.3%
s 236
 
8.4%
e 226
 
8.0%
n 225
 
8.0%
h 220
 
7.8%
o 194
 
6.9%
k 173
 
6.1%
u 173
 
6.1%
a 144
 
5.1%
p 136
 
4.8%
Other values (15) 772
27.4%
Common
ValueCountFrequency (%)
/ 391
42.9%
. 284
31.2%
: 128
 
14.1%
- 62
 
6.8%
34
 
3.7%
7 4
 
0.4%
1 3
 
0.3%
9 2
 
0.2%
3 2
 
0.2%
2 1
 
0.1%
Hangul
ValueCountFrequency (%)
데 33
16.7%
이 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3729
95.0%
Hangul 198
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 391
 
10.5%
t 319
 
8.6%
. 284
 
7.6%
s 236
 
6.3%
e 226
 
6.1%
n 225
 
6.0%
h 220
 
5.9%
o 194
 
5.2%
k 173
 
4.6%
u 173
 
4.6%
Other values (25) 1288
34.5%
Hangul
ValueCountFrequency (%)
데 33
16.7%
이 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%

주소
Text

Distinct153
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-02-10T05:58:44.157965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length21.795031
Min length15

Characters and Unicode

Total characters3509
Distinct characters103
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

Unique145 ?
Unique (%)90.1%

Sample

1st row부산광역시 북구 금곡대로 330번길 20(화명동)
2nd row부산광역시 북구 구남로14번가길 23(구포동)
3rd row부산광역시 북구 가람로 52번길 44(구포동)
4th row부산광역시 북구 덕천로 234번길 47(만덕동)
5th row부산광역시 북구 효열로220번길 35(금곡동)
ValueCountFrequency (%)
부산광역시 161
24.9%
북구 82
 
12.7%
강서구 51
 
7.9%
사상구 28
 
4.3%
화명신도시로 8
 
1.2%
화명대로 7
 
1.1%
효열로 7
 
1.1%
금곡대로 6
 
0.9%
명지국제6로 5
 
0.8%
백양대로 5
 
0.8%
Other values (232) 286
44.3%
2024-02-10T05:58:45.255138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
 
13.9%
시 183
 
5.2%
산 177
 
5.0%
구 171
 
4.9%
부 161
 
4.6%
광 161
 
4.6%
역 161
 
4.6%
로 153
 
4.4%
1 121
 
3.4%
2 93
 
2.7%
Other values (93) 1642
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2240
63.8%
Decimal Number 605
 
17.2%
Space Separator 486
 
13.9%
Open Punctuation 81
 
2.3%
Close Punctuation 81
 
2.3%
Dash Punctuation 16
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 183
 
8.2%
산 177
 
7.9%
구 171
 
7.6%
부 161
 
7.2%
광 161
 
7.2%
역 161
 
7.2%
로 153
 
6.8%
동 93
 
4.2%
북 85
 
3.8%
길 77
 
3.4%
Other values (79) 818
36.5%
Decimal Number
ValueCountFrequency (%)
1 121
20.0%
2 93
15.4%
3 59
9.8%
4 55
9.1%
7 52
8.6%
5 51
8.4%
0 50
8.3%
6 45
 
7.4%
9 41
 
6.8%
8 38
 
6.3%
Space Separator
ValueCountFrequency (%)
486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2240
63.8%
Common 1269
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 183
 
8.2%
산 177
 
7.9%
구 171
 
7.6%
부 161
 
7.2%
광 161
 
7.2%
역 161
 
7.2%
로 153
 
6.8%
동 93
 
4.2%
북 85
 
3.8%
길 77
 
3.4%
Other values (79) 818
36.5%
Common
ValueCountFrequency (%)
486
38.3%
1 121
 
9.5%
2 93
 
7.3%
( 81
 
6.4%
) 81
 
6.4%
3 59
 
4.6%
4 55
 
4.3%
7 52
 
4.1%
5 51
 
4.0%
0 50
 
3.9%
Other values (4) 140
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2240
63.8%
ASCII 1269
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
38.3%
1 121
 
9.5%
2 93
 
7.3%
( 81
 
6.4%
) 81
 
6.4%
3 59
 
4.6%
4 55
 
4.3%
7 52
 
4.1%
5 51
 
4.0%
0 50
 
3.9%
Other values (4) 140
 
11.0%
Hangul
ValueCountFrequency (%)
시 183
 
8.2%
산 177
 
7.9%
구 171
 
7.6%
부 161
 
7.2%
광 161
 
7.2%
역 161
 
7.2%
로 153
 
6.8%
동 93
 
4.2%
북 85
 
3.8%
길 77
 
3.4%
Other values (79) 818
36.5%

Missing values

2024-02-10T05:58:37.352465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-10T05:58:37.712728image/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

기관명구분전화번호홈페이지주소
021세기유치원사립051-343-5200데이터 미집계부산광역시 북구 금곡대로 330번길 20(화명동)
1구남초등학교병설유치원공립051-336-6602데이터 미집계부산광역시 북구 구남로14번가길 23(구포동)
2구포성당부설소화유치원사립051-332-6315데이터 미집계부산광역시 북구 가람로 52번길 44(구포동)
3그린코아유치원사립051-336-8751데이터 미집계부산광역시 북구 덕천로 234번길 47(만덕동)
4금곡나래(단설)유치원공립051-790-9500http://school.busanedu.net/gnr-k부산광역시 북구 효열로220번길 35(금곡동)
5금란자연유치원사립051-714-0515데이터 미집계부산광역시 북구 의성로 33번길 184(화명동)
6금명초등학교병설유치원공립051-710-1837http://school.busanedu.net/geummyeong-k부산광역시 북구 화명신도시로 197
7금창초등학교병설유치원공립051-362-2184http://school.busanedu.net/geumchang-k부산광역시 북구 효열로235번길 14
8금화유치원사립051-331-6006데이터 미집계부산광역시 북구 화명대로 85(화명동)
9꽃사슴유치원사립051-333-4676데이터 미집계부산광역시 북구 모분재로 92(구포동)
기관명구분전화번호홈페이지주소
151삼덕초등학교병설유치원공립051-303-0256http://school.busanedu.net/samdok-k부산광역시 사상구 삼덕로 24(삼락동)
152서감초등학교병설유치원공립051-320-5888http://school.busanedu.net/seogam-k부산광역시 사상구 괘감로 64(감전동)
153성광유치원(휴원)사립051-333-1800http://cafe.daum.net/sungkwang-kg부산광역시 사상구 새벽시장로63번길57(감전동)
154엄궁누리유치원(단설)공립051-790-5211http://school.busanedu.net/eomgungnuri-k부산광역시 사상구 엄궁로 119(엄궁동)
155엄궁한신유치원사립051-316-7749http://school.busanedu.net/emgunghanshin-k부산광역시 사상구 엄궁로40(엄궁동)
156으뜸유치원(단설)공립051-710-6810https://school.busanedu.net/euddeum-k/main.do부산광역시 사상구 학감대로49번길 28-7(학장동)
157은하자연유치원(휴원)사립051-303-6677데이터 미집계부산광역시 사상구 백양대로768번길63-24(덕포동)
158주감초등학교병설유치원공립051-320-3970https://school.busanedu.net/jugam-k/main.do부산광역시 사상구 양지로 48(주례동)
159초록유치원사립051-325-0840데이터 미집계부산광역시 사상구 백양대로 880(모라동)
160한빛유치원사립051-313-7017데이터 미집계부산광역시 사상구 엄궁중로20(엄궁동)