Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory53.8 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시_북구_장애인일자리현황_20230127
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026042

Alerts

연번 is highly overall correlated with 기관유형High correlation
기관유형 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
배치기관 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:42:13.399295
Analysis finished2023-12-10 16:42:14.514690
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.914286
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T01:42:14.602752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q110.5
median19
Q327.5
95-th percentile34.3
Maximum36
Range35
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.387695
Coefficient of variation (CV)0.54919836
Kurtosis-1.1489101
Mean18.914286
Median Absolute Deviation (MAD)9
Skewness-0.042123556
Sum662
Variance107.9042
MonotonicityStrictly increasing
2023-12-11T01:42:14.783380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
29 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
11 1
2.9%
ValueCountFrequency (%)
36 1
2.9%
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%

배치기관
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:42:15.110428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.6571429
Min length3

Characters and Unicode

Total characters233
Distinct characters73
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

Unique35 ?
Unique (%)100.0%

Sample

1st row북부산우체국
2nd row금곡도서관
3rd row화명도서관
4th row보건행정과
5th row민원봉사과
ValueCountFrequency (%)
부산시각장애인복지관 2
 
5.4%
구포1동 1
 
2.7%
화명3동 1
 
2.7%
동원종합사회복지관 1
 
2.7%
덕천종합사회복지관 1
 
2.7%
공창종합사회복지관 1
 
2.7%
로뎀직업재활센터 1
 
2.7%
부산뇌병변복지관 1
 
2.7%
화명1동 1
 
2.7%
화명2동 1
 
2.7%
Other values (26) 26
70.3%
2023-12-11T01:42:15.733744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.6%
12
 
5.2%
11
 
4.7%
11
 
4.7%
8
 
3.4%
7
 
3.0%
6
 
2.6%
6
 
2.6%
6
 
2.6%
6
 
2.6%
Other values (63) 147
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
94.4%
Decimal Number 11
 
4.7%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
5.9%
12
 
5.5%
11
 
5.0%
11
 
5.0%
8
 
3.6%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (59) 134
60.9%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
2 4
36.4%
3 3
27.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
94.4%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
5.9%
12
 
5.5%
11
 
5.0%
11
 
5.0%
8
 
3.6%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (59) 134
60.9%
Common
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 3
23.1%
2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
94.4%
ASCII 13
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
5.9%
12
 
5.5%
11
 
5.0%
11
 
5.0%
8
 
3.6%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
6
 
2.7%
Other values (59) 134
60.9%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 3
23.1%
2
15.4%

기관유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
사회복지 관련 기관
14 
동행정복지센터
12 
구청
공공기관

Length

Max length10
Median length7
Mean length7.0857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공기관
2nd row공공기관
3rd row공공기관
4th row구청
5th row구청

Common Values

ValueCountFrequency (%)
사회복지 관련 기관 14
40.0%
동행정복지센터 12
34.3%
구청 6
17.1%
공공기관 3
 
8.6%

Length

2023-12-11T01:42:15.973686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:42:16.137636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지 14
22.2%
관련 14
22.2%
기관 14
22.2%
동행정복지센터 12
19.0%
구청 6
9.5%
공공기관 3
 
4.8%

주소
Text

Distinct27
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:42:16.437103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length25.142857
Min length16

Characters and Unicode

Total characters880
Distinct characters47
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

Unique24 ?
Unique (%)68.6%

Sample

1st row부산광역시 북구 화명신도시로 89 (화명동)
2nd row부산광역시 북구 낙동대로1570번길 33 (구포동)
3rd row부산광역시 북구 화명대로12번길 59
4th row부산광역시 북구 낙동대로1570번길 33 (구포동)
5th row부산광역시 북구 낙동대로1570번길 33 (구포동)
ValueCountFrequency (%)
부산광역시 35
20.2%
북구 35
20.2%
구포동 13
 
7.5%
화명동 8
 
4.6%
낙동대로1570번길 7
 
4.0%
33 7
 
4.0%
덕천동 6
 
3.5%
금곡대로 4
 
2.3%
금곡동 4
 
2.3%
화명신도시로 3
 
1.7%
Other values (44) 51
29.5%
2023-12-11T01:42:16.928308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
15.7%
48
 
5.5%
42
 
4.8%
42
 
4.8%
36
 
4.1%
35
 
4.0%
35
 
4.0%
35
 
4.0%
35
 
4.0%
35
 
4.0%
Other values (37) 399
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
59.4%
Decimal Number 151
 
17.2%
Space Separator 138
 
15.7%
Close Punctuation 33
 
3.8%
Open Punctuation 33
 
3.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
9.2%
42
 
8.0%
42
 
8.0%
36
 
6.9%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
22
 
4.2%
Other values (23) 158
30.2%
Decimal Number
ValueCountFrequency (%)
1 33
21.9%
3 21
13.9%
6 15
9.9%
5 15
9.9%
7 14
9.3%
2 14
9.3%
0 13
 
8.6%
4 10
 
6.6%
8 9
 
6.0%
9 7
 
4.6%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
59.4%
Common 357
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
9.2%
42
 
8.0%
42
 
8.0%
36
 
6.9%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
22
 
4.2%
Other values (23) 158
30.2%
Common
ValueCountFrequency (%)
138
38.7%
1 33
 
9.2%
) 33
 
9.2%
( 33
 
9.2%
3 21
 
5.9%
6 15
 
4.2%
5 15
 
4.2%
7 14
 
3.9%
2 14
 
3.9%
0 13
 
3.6%
Other values (4) 28
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
59.4%
ASCII 357
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
38.7%
1 33
 
9.2%
) 33
 
9.2%
( 33
 
9.2%
3 21
 
5.9%
6 15
 
4.2%
5 15
 
4.2%
7 14
 
3.9%
2 14
 
3.9%
0 13
 
3.6%
Other values (4) 28
 
7.8%
Hangul
ValueCountFrequency (%)
48
 
9.2%
42
 
8.0%
42
 
8.0%
36
 
6.9%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
35
 
6.7%
22
 
4.2%
Other values (23) 158
30.2%
Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:42:17.239938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.085714
Min length12

Characters and Unicode

Total characters423
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

Unique33 ?
Unique (%)94.3%

Sample

1st row051-365-0838
2nd row051-309-4945
3rd row051-309-6481
4th row051-309-7064
5th row051-309-4266
ValueCountFrequency (%)
051-309-6254 2
 
5.7%
051-309-6312 1
 
2.9%
051-338-1494 1
 
2.9%
051-338-2233 1
 
2.9%
051-361-7757 1
 
2.9%
051-335-7749 1
 
2.9%
051-342-7626 1
 
2.9%
070-4014-3771 1
 
2.9%
051-338-2287 1
 
2.9%
051-309-6212 1
 
2.9%
Other values (24) 24
68.6%
2023-12-11T01:42:17.687958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.5%
0 69
16.3%
3 55
13.0%
1 47
11.1%
5 45
10.6%
6 30
7.1%
4 29
6.9%
9 28
 
6.6%
7 22
 
5.2%
2 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 353
83.5%
Dash Punctuation 70
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
19.5%
3 55
15.6%
1 47
13.3%
5 45
12.7%
6 30
8.5%
4 29
8.2%
9 28
7.9%
7 22
 
6.2%
2 19
 
5.4%
8 9
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.5%
0 69
16.3%
3 55
13.0%
1 47
11.1%
5 45
10.6%
6 30
7.1%
4 29
6.9%
9 28
 
6.6%
7 22
 
5.2%
2 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.5%
0 69
16.3%
3 55
13.0%
1 47
11.1%
5 45
10.6%
6 30
7.1%
4 29
6.9%
9 28
 
6.6%
7 22
 
5.2%
2 19
 
4.5%

배치인원(명)
Real number (ℝ)

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5714286
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T01:42:17.862772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile10
Maximum15
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1926912
Coefficient of variation (CV)0.89395355
Kurtosis3.9435159
Mean3.5714286
Median Absolute Deviation (MAD)1
Skewness1.8704191
Sum125
Variance10.193277
MonotonicityNot monotonic
2023-12-11T01:42:18.020999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 10
28.6%
2 9
25.7%
5 4
 
11.4%
4 3
 
8.6%
3 3
 
8.6%
7 3
 
8.6%
10 2
 
5.7%
15 1
 
2.9%
ValueCountFrequency (%)
1 10
28.6%
2 9
25.7%
3 3
 
8.6%
4 3
 
8.6%
5 4
 
11.4%
7 3
 
8.6%
10 2
 
5.7%
15 1
 
2.9%
ValueCountFrequency (%)
15 1
 
2.9%
10 2
 
5.7%
7 3
 
8.6%
5 4
 
11.4%
4 3
 
8.6%
3 3
 
8.6%
2 9
25.7%
1 10
28.6%

Interactions

2023-12-11T01:42:13.996242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:42:13.756358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:42:14.123586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:42:13.868491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:42:18.153940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배치기관기관유형주소연락처배치인원(명)
연번1.0001.0000.9790.8780.8980.000
배치기관1.0001.0001.0001.0001.0001.000
기관유형0.9791.0001.0000.8711.0000.000
주소0.8781.0000.8711.0000.9770.000
연락처0.8981.0001.0000.9771.0000.957
배치인원(명)0.0001.0000.0000.0000.9571.000
2023-12-11T01:42:18.298198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배치인원(명)기관유형
연번1.0000.0150.863
배치인원(명)0.0151.0000.000
기관유형0.8630.0001.000

Missing values

2023-12-11T01:42:14.319191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:42:14.458167image/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

연번배치기관기관유형주소연락처배치인원(명)
01북부산우체국공공기관부산광역시 북구 화명신도시로 89 (화명동)051-365-083810
12금곡도서관공공기관부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-49451
23화명도서관공공기관부산광역시 북구 화명대로12번길 59051-309-64812
35보건행정과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-70644
46민원봉사과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-42665
57일자리경제과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-44841
68교통행정과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-45171
79복지정책과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-432115
810주민복지과구청부산광역시 북구 낙동대로1570번길 33 (구포동)051-309-43561
911구포1동동행정복지센터부산광역시 북구 낙동대로1762번길 75 (구포동)051-309-62123
연번배치기관기관유형주소연락처배치인원(명)
2527부산뇌병변복지관사회복지 관련 기관부산광역시 북구 학사로 246 (금곡동)070-4612-97097
2628부산시각장애인복지관사회복지 관련 기관부산광역시 북구 시랑로132번길 38 (구포동)070-4609-31373
2729부산장애인자립생활센터사회복지 관련 기관부산광역시 북구 화명신도시로 117 (화명동)051-338-22875
2830북구장애인종합복지관사회복지 관련 기관부산광역시 북구 금곡대로616번길 145 (금곡동)070-4014-377110
2931북구장애인협회사회복지 관련 기관부산광역시 북구 만덕대로65번길 79 (덕천동)051-342-76264
3032평화직업재활원사회복지 관련 기관부산광역시 북구 양달로 65 (화명동)051-335-77493
3133한국교통장애인협회북구지회사회복지 관련 기관부산광역시 북구 금곡대로 185-6 (화명동)051-361-77572
3234화명종합사회복지관사회복지 관련 기관부산광역시 북구 금곡대로199번길 21 (화명동)051-338-22332
3335부산시각장애인복지관 부설 주간보호센터사회복지 관련 기관부산광역시 북구 시랑로132번길 38 (구포동)051-338-14942
3436장선종합사회복지관사회복지 관련 기관부산광역시 북구 시랑로114번길 45 (구포동)051-336-70072