Overview

Dataset statistics

Number of variables9
Number of observations186
Missing cells42
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory73.7 B

Variable types

Categorical3
Text5
Numeric1

Dataset

Description대구광역시 남부교육지원청 소속 유치원, 초등학교, 중학교에 대한 학교 정보. 학교명, 행정구역, 주소, 전화번호, 팩스번호 등의 정보가 포함됨.
Author대구광역시교육청 대구광역시남부교육지원청
URLhttps://www.data.go.kr/data/15023086/fileData.do

Alerts

우편번호 is highly overall correlated with 행정구역High correlation
행정구역 is highly overall correlated with 우편번호High correlation
홈페이지 has 42 (22.6%) missing valuesMissing
교 명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:40:40.469318
Analysis finished2023-12-12 01:40:41.413635
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교급
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유치원
84 
초등학교
67 
중학교
35 

Length

Max length4
Median length3
Mean length3.3602151
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 84
45.2%
초등학교 67
36.0%
중학교 35
18.8%

Length

2023-12-12T10:40:41.521562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:41.671702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 84
45.2%
초등학교 67
36.0%
중학교 35
18.8%

설립별
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
공립
112 
사립
73 
국립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
공립 112
60.2%
사립 73
39.2%
국립 1
 
0.5%

Length

2023-12-12T10:40:41.827532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:41.972543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 112
60.2%
사립 73
39.2%
국립 1
 
0.5%

교 명
Text

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T10:40:42.288512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length7.8709677
Min length5

Characters and Unicode

Total characters1464
Distinct characters158
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)100.0%

Sample

1st row대구감삼초등학교병설유치원
2nd row대구감천초등학교병설유치원
3rd row대구경상유치원
4th row대구노전초등학교병설유치원
5th row대구대진초등학교병설유치원
ValueCountFrequency (%)
2022.3.1 3
 
1.5%
3
 
1.5%
2023.2.28 3
 
1.5%
대구감삼초등학교병설유치원 1
 
0.5%
대구월곡초등학교 1
 
0.5%
대구송현초등학교 1
 
0.5%
대구효명초등학교 1
 
0.5%
대구신당초등학교 1
 
0.5%
대구신서초등학교 1
 
0.5%
대구신흥초등학교 1
 
0.5%
Other values (180) 180
91.8%
2023-12-12T10:40:42.802365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 126
 
8.6%
교 123
 
8.4%
대 107
 
7.3%
원 98
 
6.7%
구 92
 
6.3%
초 87
 
5.9%
등 86
 
5.9%
유 85
 
5.8%
치 84
 
5.7%
중 35
 
2.4%
Other values (148) 541
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1363
93.1%
Decimal Number 53
 
3.6%
Other Punctuation 26
 
1.8%
Space Separator 10
 
0.7%
Open Punctuation 4
 
0.3%
Math Symbol 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 126
 
9.2%
교 123
 
9.0%
대 107
 
7.9%
원 98
 
7.2%
구 92
 
6.7%
초 87
 
6.4%
등 86
 
6.3%
유 85
 
6.2%
치 84
 
6.2%
중 35
 
2.6%
Other values (135) 440
32.3%
Decimal Number
ValueCountFrequency (%)
2 27
50.9%
0 8
 
15.1%
3 7
 
13.2%
1 5
 
9.4%
8 4
 
7.5%
6 1
 
1.9%
4 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 22
84.6%
, 4
 
15.4%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1363
93.1%
Common 101
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 126
 
9.2%
교 123
 
9.0%
대 107
 
7.9%
원 98
 
7.2%
구 92
 
6.7%
초 87
 
6.4%
등 86
 
6.3%
유 85
 
6.2%
치 84
 
6.2%
중 35
 
2.6%
Other values (135) 440
32.3%
Common
ValueCountFrequency (%)
2 27
26.7%
. 22
21.8%
10
 
9.9%
0 8
 
7.9%
3 7
 
6.9%
1 5
 
5.0%
, 4
 
4.0%
( 4
 
4.0%
~ 4
 
4.0%
) 4
 
4.0%
Other values (3) 6
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1363
93.1%
ASCII 101
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 126
 
9.2%
교 123
 
9.0%
대 107
 
7.9%
원 98
 
7.2%
구 92
 
6.7%
초 87
 
6.4%
등 86
 
6.3%
유 85
 
6.2%
치 84
 
6.2%
중 35
 
2.6%
Other values (135) 440
32.3%
ASCII
ValueCountFrequency (%)
2 27
26.7%
. 22
21.8%
10
 
9.9%
0 8
 
7.9%
3 7
 
6.9%
1 5
 
5.0%
, 4
 
4.0%
( 4
 
4.0%
~ 4
 
4.0%
) 4
 
4.0%
Other values (3) 6
 
5.9%

행정구역
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
달서구
158 
남구
28 

Length

Max length3
Median length3
Mean length2.8494624
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row달서구
2nd row달서구
3rd row남구
4th row달서구
5th row달서구

Common Values

ValueCountFrequency (%)
달서구 158
84.9%
남구 28
 
15.1%

Length

2023-12-12T10:40:42.975540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:43.111408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 158
84.9%
남구 28
 
15.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42678.28
Minimum42401
Maximum42840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T10:40:43.256660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42401
5-th percentile42440.25
Q142616.25
median42686
Q342761.75
95-th percentile42829.75
Maximum42840
Range439
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation114.00805
Coefficient of variation (CV)0.0026713365
Kurtosis-0.29564625
Mean42678.28
Median Absolute Deviation (MAD)73.5
Skewness-0.65935494
Sum7938160
Variance12997.835
MonotonicityNot monotonic
2023-12-12T10:40:43.444832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42726 6
 
3.2%
42620 5
 
2.7%
42748 4
 
2.2%
42756 3
 
1.6%
42630 3
 
1.6%
42823 3
 
1.6%
42789 3
 
1.6%
42490 3
 
1.6%
42831 3
 
1.6%
42807 3
 
1.6%
Other values (103) 150
80.6%
ValueCountFrequency (%)
42401 1
 
0.5%
42412 3
1.6%
42419 1
 
0.5%
42423 1
 
0.5%
42425 1
 
0.5%
42436 3
1.6%
42453 1
 
0.5%
42461 1
 
0.5%
42470 1
 
0.5%
42471 1
 
0.5%
ValueCountFrequency (%)
42840 1
 
0.5%
42838 1
 
0.5%
42836 3
1.6%
42831 3
1.6%
42830 2
1.1%
42829 2
1.1%
42827 2
1.1%
42826 2
1.1%
42823 3
1.6%
42818 1
 
0.5%

주 소
Text

Distinct183
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T10:40:43.820821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length28.768817
Min length20

Characters and Unicode

Total characters5351
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)96.8%

Sample

1st row대구광역시 달서구 당산로 123, 감삼초등학교 (감삼동)
2nd row대구광역시 달서구 구마로12길 60 , 감천초등학교 병설유치원 (월성동)
3rd row대구광역시 남구 현충로48길 31-8 (대명동)
4th row대구광역시 달서구 한실로 43 도원동, 대구노전초등학교병설유치원
5th row대구광역시 달서구 상화로 70 (대곡동1025)
ValueCountFrequency (%)
대구광역시 186
 
19.6%
달서구 158
 
16.6%
남구 28
 
2.9%
월성동 12
 
1.3%
9
 
0.9%
상인동 9
 
0.9%
이곡동 8
 
0.8%
대명동 7
 
0.7%
도원동 7
 
0.7%
선원남로 7
 
0.7%
Other values (369) 519
54.6%
2023-12-12T10:40:44.385100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
766
 
14.3%
구 419
 
7.8%
대 290
 
5.4%
동 195
 
3.6%
광 186
 
3.5%
역 186
 
3.5%
시 186
 
3.5%
서 186
 
3.5%
( 183
 
3.4%
) 183
 
3.4%
Other values (124) 2571
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3463
64.7%
Space Separator 766
 
14.3%
Decimal Number 634
 
11.8%
Open Punctuation 183
 
3.4%
Close Punctuation 183
 
3.4%
Other Punctuation 102
 
1.9%
Dash Punctuation 20
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 419
 
12.1%
대 290
 
8.4%
동 195
 
5.6%
광 186
 
5.4%
역 186
 
5.4%
시 186
 
5.4%
서 186
 
5.4%
로 175
 
5.1%
달 169
 
4.9%
학 100
 
2.9%
Other values (109) 1371
39.6%
Decimal Number
ValueCountFrequency (%)
1 124
19.6%
3 87
13.7%
0 77
12.1%
2 74
11.7%
7 55
8.7%
4 52
8.2%
6 51
8.0%
5 45
 
7.1%
9 36
 
5.7%
8 33
 
5.2%
Space Separator
ValueCountFrequency (%)
766
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3463
64.7%
Common 1888
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 419
 
12.1%
대 290
 
8.4%
동 195
 
5.6%
광 186
 
5.4%
역 186
 
5.4%
시 186
 
5.4%
서 186
 
5.4%
로 175
 
5.1%
달 169
 
4.9%
학 100
 
2.9%
Other values (109) 1371
39.6%
Common
ValueCountFrequency (%)
766
40.6%
( 183
 
9.7%
) 183
 
9.7%
1 124
 
6.6%
, 102
 
5.4%
3 87
 
4.6%
0 77
 
4.1%
2 74
 
3.9%
7 55
 
2.9%
4 52
 
2.8%
Other values (5) 185
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3463
64.7%
ASCII 1888
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
766
40.6%
( 183
 
9.7%
) 183
 
9.7%
1 124
 
6.6%
, 102
 
5.4%
3 87
 
4.6%
0 77
 
4.1%
2 74
 
3.9%
7 55
 
2.9%
4 52
 
2.8%
Other values (5) 185
 
9.8%
Hangul
ValueCountFrequency (%)
구 419
 
12.1%
대 290
 
8.4%
동 195
 
5.6%
광 186
 
5.4%
역 186
 
5.4%
시 186
 
5.4%
서 186
 
5.4%
로 175
 
5.1%
달 169
 
4.9%
학 100
 
2.9%
Other values (109) 1371
39.6%

전화번호
Text

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T10:40:44.707162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2232
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

Unique186 ?
Unique (%)100.0%

Sample

1st row053-234-1980
2nd row053-234-2750
3rd row053-234-5553
4th row053-234-3400
5th row053-234-4277
ValueCountFrequency (%)
053-234-1980 1
 
0.5%
053-234-2920 1
 
0.5%
053-234-1481 1
 
0.5%
053-234-1701 1
 
0.5%
053-234-3030 1
 
0.5%
053-234-3820 1
 
0.5%
053-234-0700 1
 
0.5%
053-234-0470 1
 
0.5%
053-234-3081 1
 
0.5%
053-234-2123 1
 
0.5%
Other values (176) 176
94.6%
2023-12-12T10:40:45.151624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 403
18.1%
- 372
16.7%
0 351
15.7%
5 287
12.9%
2 227
10.2%
4 200
9.0%
6 110
 
4.9%
1 82
 
3.7%
7 81
 
3.6%
8 70
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1860
83.3%
Dash Punctuation 372
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 403
21.7%
0 351
18.9%
5 287
15.4%
2 227
12.2%
4 200
10.8%
6 110
 
5.9%
1 82
 
4.4%
7 81
 
4.4%
8 70
 
3.8%
9 49
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 403
18.1%
- 372
16.7%
0 351
15.7%
5 287
12.9%
2 227
10.2%
4 200
9.0%
6 110
 
4.9%
1 82
 
3.7%
7 81
 
3.6%
8 70
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 403
18.1%
- 372
16.7%
0 351
15.7%
5 287
12.9%
2 227
10.2%
4 200
9.0%
6 110
 
4.9%
1 82
 
3.7%
7 81
 
3.6%
8 70
 
3.1%

팩스
Text

Distinct168
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T10:40:45.462126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2232
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

Unique150 ?
Unique (%)80.6%

Sample

1st row053-567-1329
2nd row053-636-2032
3rd row053-656-7726
4th row053-636-8691
5th row053-644-7023
ValueCountFrequency (%)
053-567-1329 2
 
1.1%
053-522-0019 2
 
1.1%
053-234-4619 2
 
1.1%
053-521-0140 2
 
1.1%
053-584-7510 2
 
1.1%
053-643-7735 2
 
1.1%
053-591-7034 2
 
1.1%
053-234-3903 2
 
1.1%
053-234-4550 2
 
1.1%
053-636-2032 2
 
1.1%
Other values (158) 166
89.2%
2023-12-12T10:40:45.889631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 372
16.7%
5 349
15.6%
3 340
15.2%
0 283
12.7%
6 208
9.3%
4 143
 
6.4%
2 124
 
5.6%
1 120
 
5.4%
7 119
 
5.3%
8 94
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1860
83.3%
Dash Punctuation 372
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 349
18.8%
3 340
18.3%
0 283
15.2%
6 208
11.2%
4 143
7.7%
2 124
 
6.7%
1 120
 
6.5%
7 119
 
6.4%
8 94
 
5.1%
9 80
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 372
16.7%
5 349
15.6%
3 340
15.2%
0 283
12.7%
6 208
9.3%
4 143
 
6.4%
2 124
 
5.6%
1 120
 
5.4%
7 119
 
5.3%
8 94
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 372
16.7%
5 349
15.6%
3 340
15.2%
0 283
12.7%
6 208
9.3%
4 143
 
6.4%
2 124
 
5.6%
1 120
 
5.4%
7 119
 
5.3%
8 94
 
4.2%

홈페이지
Text

MISSING 

Distinct134
Distinct (%)93.1%
Missing42
Missing (%)22.6%
Memory size1.6 KiB
2023-12-12T10:40:46.127912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length25.534722
Min length18

Characters and Unicode

Total characters3677
Distinct characters40
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)86.1%

Sample

1st rowhttp://www.gamsam.es.kr
2nd rowhttp://dg-gamcheon.es.kr
3rd rowhttp://www.ksang-i.kg.kr
4th rowhttp://www.nojeon.es.kr
5th rowhttp://www.daegudaejin.es.kr
ValueCountFrequency (%)
http://www.jangsung.es.kr 2
 
1.4%
http://www.ho-san.es.kr 2
 
1.4%
http://www.nojeon.es.kr 2
 
1.4%
http://www.dgseongnam.es.kr 2
 
1.4%
http://www.gamsam.es.kr 2
 
1.4%
http://www.dgbongdeok.es.kr 2
 
1.4%
http://www.hansil.es.kr 2
 
1.4%
http://www.daegu-jangsan.es.kr 2
 
1.4%
http://www.dgjangdong.es.kr 2
 
1.4%
http://www.dghaksan.es.kr 2
 
1.4%
Other values (119) 124
86.1%
2023-12-12T10:40:46.492964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 413
 
11.2%
w 406
 
11.0%
/ 327
 
8.9%
t 305
 
8.3%
s 199
 
5.4%
e 190
 
5.2%
h 183
 
5.0%
n 166
 
4.5%
k 162
 
4.4%
p 153
 
4.2%
Other values (30) 1173
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2734
74.4%
Other Punctuation 884
 
24.0%
Decimal Number 30
 
0.8%
Dash Punctuation 26
 
0.7%
Other Letter 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 406
14.9%
t 305
11.2%
s 199
 
7.3%
e 190
 
6.9%
h 183
 
6.7%
n 166
 
6.1%
k 162
 
5.9%
p 153
 
5.6%
g 147
 
5.4%
r 140
 
5.1%
Other values (14) 683
25.0%
Decimal Number
ValueCountFrequency (%)
0 7
23.3%
7 6
20.0%
1 5
16.7%
6 5
16.7%
2 3
10.0%
9 1
 
3.3%
8 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 413
46.7%
/ 327
37.0%
: 144
 
16.3%
Other Letter
ValueCountFrequency (%)
키 1
33.3%
즈 1
33.3%
킹 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2734
74.4%
Common 940
 
25.6%
Hangul 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 406
14.9%
t 305
11.2%
s 199
 
7.3%
e 190
 
6.9%
h 183
 
6.7%
n 166
 
6.1%
k 162
 
5.9%
p 153
 
5.6%
g 147
 
5.4%
r 140
 
5.1%
Other values (14) 683
25.0%
Common
ValueCountFrequency (%)
. 413
43.9%
/ 327
34.8%
: 144
 
15.3%
- 26
 
2.8%
0 7
 
0.7%
7 6
 
0.6%
1 5
 
0.5%
6 5
 
0.5%
2 3
 
0.3%
9 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
키 1
33.3%
즈 1
33.3%
킹 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3674
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 413
 
11.2%
w 406
 
11.1%
/ 327
 
8.9%
t 305
 
8.3%
s 199
 
5.4%
e 190
 
5.2%
h 183
 
5.0%
n 166
 
4.5%
k 162
 
4.4%
p 153
 
4.2%
Other values (27) 1170
31.8%
Hangul
ValueCountFrequency (%)
키 1
33.3%
즈 1
33.3%
킹 1
33.3%

Interactions

2023-12-12T10:40:40.947093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:40:46.603869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급설립별행정구역우편번호
학교급1.0000.8020.0000.000
설립별0.8021.0000.0000.000
행정구역0.0000.0001.0000.919
우편번호0.0000.0000.9191.000
2023-12-12T10:40:46.702915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급행정구역설립별
학교급1.0000.0000.468
행정구역0.0001.0000.000
설립별0.4680.0001.000
2023-12-12T10:40:46.803751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호학교급설립별행정구역
우편번호1.0000.0000.0000.942
학교급0.0001.0000.4680.000
설립별0.0000.4681.0000.000
행정구역0.9420.0000.0001.000

Missing values

2023-12-12T10:40:41.116101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:40:41.348300image/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

학교급설립별교 명행정구역우편번호주 소전화번호팩스홈페이지
0유치원공립대구감삼초등학교병설유치원달서구42651대구광역시 달서구 당산로 123, 감삼초등학교 (감삼동)053-234-1980053-567-1329http://www.gamsam.es.kr
1유치원공립대구감천초등학교병설유치원달서구42728대구광역시 달서구 구마로12길 60 , 감천초등학교 병설유치원 (월성동)053-234-2750053-636-2032http://dg-gamcheon.es.kr
2유치원공립대구경상유치원남구42412대구광역시 남구 현충로48길 31-8 (대명동)053-234-5553053-656-7726http://www.ksang-i.kg.kr
3유치원공립대구노전초등학교병설유치원달서구42827대구광역시 달서구 한실로 43 도원동, 대구노전초등학교병설유치원053-234-3400053-636-8691http://www.nojeon.es.kr
4유치원공립대구대진초등학교병설유치원달서구42826대구광역시 달서구 상화로 70 (대곡동1025)053-234-4277053-644-7023http://www.daegudaejin.es.kr
5유치원공립대구덕인초등학교병설유치원달서구42694대구광역시 달서구 대명천로43길 66 (본리동)053-234-2320053-557-9781http://www.dukin.es.kr
6유치원공립대구도원초등학교병설유치원달서구42836대구광역시 달서구 도원남로 100-30 , 대구도원초등학교병설유치원 (도원동)053-234-3473053-639-0767http://www.dgdowon.es.kr
7유치원공립대구봉덕초등학교병설유치원남구42506대구광역시 남구 효성로 71, 봉덕초등학교 (봉덕동)053-234-0588053-474-7355http://www.dgbongdeok.es.kr/
8유치원공립대구상원유치원달서구42748대구광역시 달서구 학산남로 34 (상인동)053-234-5590053-644-5602http://www.sangwon.kg.kr
9유치원공립대구성남초등학교병설유치원달서구42668대구광역시 달서구 성당로45길 20 (두류동, 대구성남초등학교병설유치원)053-234-0758053-651-2818http://www.dgseongnam.es.kr/
학교급설립별교 명행정구역우편번호주 소전화번호팩스홈페이지
176중학교공립이곡중학교달서구42605대구광역시 달서구 선원로37길 65(이곡동,이곡중학교)053-234-7160053-588-0932http://www.yigok.ms.kr
177중학교공립학산중학교달서구42726대구광역시 달서구 월곡로94길 10(월성동, 학산중학교)053-234-6651053-632-6602http://www.daegu-haksan.ms.kr/
178중학교사립협성경복중학교남구42507대구광역시 남구 효성로 35, 협성경복중학교 (봉덕동)053-234-8444053-471-6963http://www.hyupsungkyungbok.ms.kr
179중학교사립효성중학교달서구42726대구광역시 달서구 월곡로94길 48(월성동, 효성여자중,고등학교)053-234-8900053-638-9123http://www.hyosung.daegu.kr
180중학교공립성곡중학교달서구42607대구광역시 달서구 새방로 32(용산동, 성곡중학교)053-234-8000053-584-9824http://www.sgok.ms.kr
181중학교공립대진중학교달서구42768대구광역시 달서구 화암로73길 7, 대진중학교 (대곡동)053-234-8050053-641-1585http://www.dg-daejin.ms.kr
182중학교공립월서중학교달서구42778대구광역시 달서구 월배로33길 105(월성동, 월서중학교)053-234-8160053-643-7615http://www.wolseo.ms.kr
183중학교공립조암중학교달서구42756대구광역시 달서구 조암로 59(월성동)053-234-9321053-641-0301http://www.joam.ms.kr
184중학교공립월암중학교달서구42753대구광역시 달서구 조암로6길 33(월성동)053-234-8280053-635-2309http://www.wolam.ms.kr/
185중학교공립새본리중학교달서구42683대구광역시 달서구 대명천로 167, 새본리중학교 (본리동)053-234-7666053-527-6301http://www.saebolli.ms.kr