Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory55.3 B

Variable types

Text5
Numeric1

Dataset

Description부산광역시_수영구_학교정보_20230125
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023404

Alerts

학 교 명 has unique valuesUnique
주 소 has unique valuesUnique
행 정 실 has unique valuesUnique
팩 스 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:58:21.573730
Analysis finished2023-12-10 16:58:22.281655
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학 교 명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:58:22.440011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.2857143
Min length4

Characters and Unicode

Total characters90
Distinct characters33
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row남천초등
2nd row광남초등
3rd row배산초등
4th row수미초등
5th row망미초등
ValueCountFrequency (%)
중 4
 
12.1%
고 2
 
6.1%
동 2
 
6.1%
남천초등 1
 
3.0%
한바다중 1
 
3.0%
부산여상 1
 
3.0%
덕문여고 1
 
3.0%
여 1
 
3.0%
일 1
 
3.0%
남 1
 
3.0%
Other values (18) 18
54.5%
2023-12-11T01:58:22.921183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
13.3%
초 10
 
11.1%
등 10
 
11.1%
중 6
 
6.7%
수 4
 
4.4%
남 3
 
3.3%
영 3
 
3.3%
여 3
 
3.3%
고 3
 
3.3%
안 3
 
3.3%
Other values (23) 33
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
86.7%
Space Separator 12
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 10
 
12.8%
등 10
 
12.8%
중 6
 
7.7%
수 4
 
5.1%
남 3
 
3.8%
영 3
 
3.8%
여 3
 
3.8%
고 3
 
3.8%
안 3
 
3.8%
동 3
 
3.8%
Other values (22) 30
38.5%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
86.7%
Common 12
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 10
 
12.8%
등 10
 
12.8%
중 6
 
7.7%
수 4
 
5.1%
남 3
 
3.8%
영 3
 
3.8%
여 3
 
3.8%
고 3
 
3.8%
안 3
 
3.8%
동 3
 
3.8%
Other values (22) 30
38.5%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
86.7%
ASCII 12
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
100.0%
Hangul
ValueCountFrequency (%)
초 10
 
12.8%
등 10
 
12.8%
중 6
 
7.7%
수 4
 
5.1%
남 3
 
3.8%
영 3
 
3.8%
여 3
 
3.8%
고 3
 
3.8%
안 3
 
3.8%
동 3
 
3.8%
Other values (22) 30
38.5%

주 소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:58:23.213634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length13.761905
Min length10

Characters and Unicode

Total characters289
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row남천서로14(남천동)
2nd row광안해변로115(남천동)
3rd row망미배산로48번길85-15(망미동)
4th row연수로310번길91(망미동)
5th row수미로35번길27(망미동)
ValueCountFrequency (%)
남천서로14(남천동 1
 
4.8%
호암로30(광안동 1
 
4.8%
금련로43(망미동 1
 
4.8%
연수로310번길114(광안동 1
 
4.8%
남천서로32번길39(남천동 1
 
4.8%
망미배산로48번길85-23(망미동 1
 
4.8%
광서로74(광안동 1
 
4.8%
연수로310번길127(광안동 1
 
4.8%
망미배산로102(망미동 1
 
4.8%
광안로21번가길57(광안동 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T01:58:23.624771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 21
 
7.3%
( 21
 
7.3%
동 21
 
7.3%
) 21
 
7.3%
1 17
 
5.9%
3 17
 
5.9%
광 15
 
5.2%
번 13
 
4.5%
길 13
 
4.5%
안 12
 
4.2%
Other values (29) 118
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
56.7%
Decimal Number 81
28.0%
Open Punctuation 21
 
7.3%
Close Punctuation 21
 
7.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 21
12.8%
동 21
12.8%
광 15
9.1%
번 13
 
7.9%
길 13
 
7.9%
안 12
 
7.3%
미 11
 
6.7%
망 10
 
6.1%
남 6
 
3.7%
천 5
 
3.0%
Other values (16) 37
22.6%
Decimal Number
ValueCountFrequency (%)
1 17
21.0%
3 17
21.0%
5 11
13.6%
2 9
11.1%
7 7
8.6%
0 6
 
7.4%
4 6
 
7.4%
8 5
 
6.2%
9 2
 
2.5%
6 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
56.7%
Common 125
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 21
12.8%
동 21
12.8%
광 15
9.1%
번 13
 
7.9%
길 13
 
7.9%
안 12
 
7.3%
미 11
 
6.7%
망 10
 
6.1%
남 6
 
3.7%
천 5
 
3.0%
Other values (16) 37
22.6%
Common
ValueCountFrequency (%)
( 21
16.8%
) 21
16.8%
1 17
13.6%
3 17
13.6%
5 11
8.8%
2 9
7.2%
7 7
 
5.6%
0 6
 
4.8%
4 6
 
4.8%
8 5
 
4.0%
Other values (3) 5
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
56.7%
ASCII 125
43.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 21
12.8%
동 21
12.8%
광 15
9.1%
번 13
 
7.9%
길 13
 
7.9%
안 12
 
7.3%
미 11
 
6.7%
망 10
 
6.1%
남 6
 
3.7%
천 5
 
3.0%
Other values (16) 37
22.6%
ASCII
ValueCountFrequency (%)
( 21
16.8%
) 21
16.8%
1 17
13.6%
3 17
13.6%
5 11
8.8%
2 9
7.2%
7 7
 
5.6%
0 6
 
4.8%
4 6
 
4.8%
8 5
 
4.0%
Other values (3) 5
 
4.0%

우편번호
Real number (ℝ)

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48254.619
Minimum48200
Maximum48316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T01:58:23.802946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48200
5-th percentile48201
Q148237
median48246
Q348275
95-th percentile48315
Maximum48316
Range116
Interquartile range (IQR)38

Descriptive statistics

Standard deviation36.114369
Coefficient of variation (CV)0.00074841268
Kurtosis-0.79983986
Mean48254.619
Median Absolute Deviation (MAD)28
Skewness0.21218301
Sum1013347
Variance1304.2476
MonotonicityNot monotonic
2023-12-11T01:58:23.957983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
48237 4
19.0%
48201 2
 
9.5%
48296 2
 
9.5%
48259 2
 
9.5%
48316 1
 
4.8%
48305 1
 
4.8%
48216 1
 
4.8%
48246 1
 
4.8%
48275 1
 
4.8%
48274 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
48200 1
 
4.8%
48201 2
9.5%
48216 1
 
4.8%
48237 4
19.0%
48239 1
 
4.8%
48245 1
 
4.8%
48246 1
 
4.8%
48256 1
 
4.8%
48259 2
9.5%
48274 1
 
4.8%
ValueCountFrequency (%)
48316 1
4.8%
48315 1
4.8%
48305 1
4.8%
48296 2
9.5%
48275 1
4.8%
48274 1
4.8%
48259 2
9.5%
48256 1
4.8%
48246 1
4.8%
48245 1
4.8%

행 정 실
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:58:24.215894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row051-610-3707
2nd row051-610-6606
3rd row051-754-9106
4th row051-791-4705
5th row051-796-5508
ValueCountFrequency (%)
051-610-3707 1
 
4.8%
051-760-7704 1
 
4.8%
051-797-6707 1
 
4.8%
051-756-1802 1
 
4.8%
051-610-5800 1
 
4.8%
051-750-0150 1
 
4.8%
051-752-3355 1
 
4.8%
051-750-3102 1
 
4.8%
051-750-0770 1
 
4.8%
051-752-8034 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T01:58:24.730836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
19.8%
- 42
16.7%
5 40
15.9%
1 35
13.9%
7 31
12.3%
6 13
 
5.2%
2 12
 
4.8%
9 11
 
4.4%
3 10
 
4.0%
4 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
23.8%
5 40
19.0%
1 35
16.7%
7 31
14.8%
6 13
 
6.2%
2 12
 
5.7%
9 11
 
5.2%
3 10
 
4.8%
4 4
 
1.9%
8 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
19.8%
- 42
16.7%
5 40
15.9%
1 35
13.9%
7 31
12.3%
6 13
 
5.2%
2 12
 
4.8%
9 11
 
4.4%
3 10
 
4.0%
4 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
19.8%
- 42
16.7%
5 40
15.9%
1 35
13.9%
7 31
12.3%
6 13
 
5.2%
2 12
 
4.8%
9 11
 
4.4%
3 10
 
4.0%
4 4
 
1.6%

교 무 실
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:58:25.019517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row051-610-3702
2nd row051-610-6600
3rd row051-754-5930
4th row051-791-4700
5th row051-796-5501
ValueCountFrequency (%)
051-752-8694 2
 
9.5%
051-610-3702 1
 
4.8%
051-760-7700 1
 
4.8%
051-797-6700 1
 
4.8%
051-756-1801 1
 
4.8%
051-610-5700 1
 
4.8%
051-752-3355 1
 
4.8%
051-750-3100 1
 
4.8%
051-750-0700 1
 
4.8%
051-760-0700 1
 
4.8%
Other values (10) 10
47.6%
2023-12-11T01:58:25.480586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
23.8%
- 42
16.7%
5 36
14.3%
1 33
13.1%
7 27
10.7%
6 15
 
6.0%
2 11
 
4.4%
9 11
 
4.4%
3 8
 
3.2%
4 5
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
28.6%
5 36
17.1%
1 33
15.7%
7 27
12.9%
6 15
 
7.1%
2 11
 
5.2%
9 11
 
5.2%
3 8
 
3.8%
4 5
 
2.4%
8 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
23.8%
- 42
16.7%
5 36
14.3%
1 33
13.1%
7 27
10.7%
6 15
 
6.0%
2 11
 
4.4%
9 11
 
4.4%
3 8
 
3.2%
4 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
23.8%
- 42
16.7%
5 36
14.3%
1 33
13.1%
7 27
10.7%
6 15
 
6.0%
2 11
 
4.4%
9 11
 
4.4%
3 8
 
3.2%
4 5
 
2.0%

팩 스
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:58:25.744839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row051-621-0749
2nd row051-628-0767
3rd row051-754-5131
4th row051-791-4725
5th row051-796-5569
ValueCountFrequency (%)
051-621-0749 1
 
4.8%
051-753-6592 1
 
4.8%
051-797-6801 1
 
4.8%
051-751-0920 1
 
4.8%
051-610-5801 1
 
4.8%
051-751-0113 1
 
4.8%
051-751-9674 1
 
4.8%
051-750-3103 1
 
4.8%
051-750-0799 1
 
4.8%
051-753-8125 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T01:58:26.127475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 44
17.5%
- 42
16.7%
1 39
15.5%
0 36
14.3%
7 29
11.5%
9 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
3 11
 
4.4%
2 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 44
21.0%
1 39
18.6%
0 36
17.1%
7 29
13.8%
9 12
 
5.7%
6 11
 
5.2%
4 11
 
5.2%
3 11
 
5.2%
2 10
 
4.8%
8 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 44
17.5%
- 42
16.7%
1 39
15.5%
0 36
14.3%
7 29
11.5%
9 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
3 11
 
4.4%
2 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 44
17.5%
- 42
16.7%
1 39
15.5%
0 36
14.3%
7 29
11.5%
9 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
3 11
 
4.4%
2 10
 
4.0%

Interactions

2023-12-11T01:58:21.872611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:58:26.275166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학 교 명주 소우편번호행 정 실교 무 실팩 스
학 교 명1.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0000.8261.000
행 정 실1.0001.0001.0001.0001.0001.000
교 무 실1.0001.0000.8261.0001.0001.000
팩 스1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T01:58:22.046150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:58:22.217523image/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

학 교 명주 소우편번호행 정 실교 무 실팩 스
0남천초등남천서로14(남천동)48316051-610-3707051-610-3702051-621-0749
1광남초등광안해변로115(남천동)48305051-610-6606051-610-6600051-628-0767
2배산초등망미배산로48번길85-15(망미동)48201051-754-9106051-754-5930051-754-5131
3수미초등연수로310번길91(망미동)48237051-791-4705051-791-4700051-791-4725
4망미초등수미로35번길27(망미동)48216051-796-5508051-796-5501051-796-5569
5수영초등광서로16번길33(광안동)48246051-792-2573051-792-2500051-757-6494
6광안초등광안로21번가길35(광안동)48296051-790-2207051-790-2200051-753-4421
7호암초등호암로57(광안동)48259051-712-3600051-712-3600051-712-3678
8민락초등광남로257번길12(민락동)48275051-753-9791051-752-8694051-753-5702
9민안초등감포로38번길33(민락동)48274051-751-3931051-751-3931051-753-4031
학 교 명주 소우편번호행 정 실교 무 실팩 스
11수 영 중호암로30(광안동)48256051-760-7704051-760-7700051-753-6592
12한바다중광안로21번가길57(광안동)48296051-752-8034051-760-0700051-753-8125
13망 미 중망미배산로102(망미동)48200051-750-0770051-750-0700051-750-0799
14광 안 중연수로310번길127(광안동)48237051-750-3102051-750-3100051-750-3103
15동수영중광서로74(광안동)48245051-752-3355051-752-3355051-751-9674
16남 일 고망미배산로48번길85-23(망미동)48201051-750-0150051-752-8694051-751-0113
17동 여 고남천서로32번길39(남천동)48315051-610-5800051-610-5700051-610-5801
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