Overview

Dataset statistics

Number of variables5
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory45.3 B

Variable types

Numeric2
Text3

Dataset

Description전북특별자치도 요양보호사 교육기관 현황(기관명, 위치, 정원 등)전북특별자치도 요양보호사 교육기관 목록의 일련번호, 전북특별자치도 요양보호사 교육기관의 명칭 등
Author전북특별자치도
URLhttps://www.data.go.kr/data/3081290/fileData.do

Alerts

번호 has unique valuesUnique
명 칭 has unique valuesUnique
소 재 지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:27:13.157446
Analysis finished2024-03-14 18:27:15.012907
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-15T03:27:15.216435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-03-15T03:27:15.542987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

명 칭
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T03:27:16.333552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.538462
Min length10

Characters and Unicode

Total characters528
Distinct characters87
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

Unique39 ?
Unique (%)100.0%

Sample

1st row전주성모요양보호사교육원
2nd row전주성신간호학원부설요양보호사교육원
3rd row온누리요양보호사교육원
4th row전주여성인력개발센터요양보호사교육원
5th row전주메디칼요양보호사교육원
ValueCountFrequency (%)
전주성모요양보호사교육원 1
 
2.6%
중앙간호학원요양보호사교육원 1
 
2.6%
익산성모요양보호사교육원 1
 
2.6%
원광요양보호사교육원 1
 
2.6%
고려요양보호사교육원 1
 
2.6%
익산평화요양보호사교육원 1
 
2.6%
제이성모요양보호사교육원 1
 
2.6%
종로요양보호사교육원 1
 
2.6%
정읍간호학원부설요양보호사교육원 1
 
2.6%
익산간호요양보호사교육원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-15T03:27:17.711043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 54
 
10.2%
원 53
 
10.0%
교 40
 
7.6%
요 39
 
7.4%
양 39
 
7.4%
보 39
 
7.4%
사 39
 
7.4%
육 39
 
7.4%
학 14
 
2.7%
간 14
 
2.7%
Other values (77) 158
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
99.4%
Lowercase Letter 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 54
 
10.3%
원 53
 
10.1%
교 40
 
7.6%
요 39
 
7.4%
양 39
 
7.4%
보 39
 
7.4%
사 39
 
7.4%
육 39
 
7.4%
학 14
 
2.7%
간 14
 
2.7%
Other values (74) 155
29.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
99.4%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 54
 
10.3%
원 53
 
10.1%
교 40
 
7.6%
요 39
 
7.4%
양 39
 
7.4%
보 39
 
7.4%
사 39
 
7.4%
육 39
 
7.4%
학 14
 
2.7%
간 14
 
2.7%
Other values (74) 155
29.5%
Latin
ValueCountFrequency (%)
T 1
33.3%
h 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
99.4%
ASCII 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 54
 
10.3%
원 53
 
10.1%
교 40
 
7.6%
요 39
 
7.4%
양 39
 
7.4%
보 39
 
7.4%
사 39
 
7.4%
육 39
 
7.4%
학 14
 
2.7%
간 14
 
2.7%
Other values (74) 155
29.5%
ASCII
ValueCountFrequency (%)
T 1
33.3%
h 1
33.3%
e 1
33.3%

소 재 지
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T03:27:19.043092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length14.564103
Min length10

Characters and Unicode

Total characters568
Distinct characters90
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

Unique39 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 팔달로 229
2nd row전주시 완산구 팔달로 250
3rd row전주시 완산구 팔달로 202-16
4th row전주시 완산구 장승배기로 213
5th row전주시 완산구 용머리로 57
ValueCountFrequency (%)
전주시 17
 
11.6%
완산구 10
 
6.8%
덕진구 7
 
4.8%
익산시 6
 
4.1%
군산시 4
 
2.7%
3층 3
 
2.1%
정읍시 3
 
2.1%
무왕로 3
 
2.1%
팔달로 3
 
2.1%
익산대로 2
 
1.4%
Other values (82) 88
60.3%
2024-03-15T03:27:20.983955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
18.8%
로 37
 
6.5%
시 34
 
6.0%
1 28
 
4.9%
산 23
 
4.0%
2 23
 
4.0%
주 19
 
3.3%
전 18
 
3.2%
구 17
 
3.0%
4 14
 
2.5%
Other values (80) 248
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
57.6%
Decimal Number 124
 
21.8%
Space Separator 107
 
18.8%
Dash Punctuation 6
 
1.1%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 37
 
11.3%
시 34
 
10.4%
산 23
 
7.0%
주 19
 
5.8%
전 18
 
5.5%
구 17
 
5.2%
완 11
 
3.4%
군 10
 
3.1%
읍 9
 
2.8%
층 9
 
2.8%
Other values (66) 140
42.8%
Decimal Number
ValueCountFrequency (%)
1 28
22.6%
2 23
18.5%
4 14
11.3%
3 14
11.3%
7 12
9.7%
0 8
 
6.5%
6 8
 
6.5%
9 7
 
5.6%
5 6
 
4.8%
8 4
 
3.2%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
57.6%
Common 241
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 37
 
11.3%
시 34
 
10.4%
산 23
 
7.0%
주 19
 
5.8%
전 18
 
5.5%
구 17
 
5.2%
완 11
 
3.4%
군 10
 
3.1%
읍 9
 
2.8%
층 9
 
2.8%
Other values (66) 140
42.8%
Common
ValueCountFrequency (%)
107
44.4%
1 28
 
11.6%
2 23
 
9.5%
4 14
 
5.8%
3 14
 
5.8%
7 12
 
5.0%
0 8
 
3.3%
6 8
 
3.3%
9 7
 
2.9%
5 6
 
2.5%
Other values (4) 14
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
57.6%
ASCII 241
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
44.4%
1 28
 
11.6%
2 23
 
9.5%
4 14
 
5.8%
3 14
 
5.8%
7 12
 
5.0%
0 8
 
3.3%
6 8
 
3.3%
9 7
 
2.9%
5 6
 
2.5%
Other values (4) 14
 
5.8%
Hangul
ValueCountFrequency (%)
로 37
 
11.3%
시 34
 
10.4%
산 23
 
7.0%
주 19
 
5.8%
전 18
 
5.5%
구 17
 
5.2%
완 11
 
3.4%
군 10
 
3.1%
읍 9
 
2.8%
층 9
 
2.8%
Other values (66) 140
42.8%

전화번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T03:27:21.876366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025641
Min length12

Characters and Unicode

Total characters469
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

Unique39 ?
Unique (%)100.0%

Sample

1st row063-283-6662
2nd row063-285-1999
3rd row063-231-4554
4th row063-232-2346
5th row063-225-3910
ValueCountFrequency (%)
063-283-6662 1
 
2.6%
063-471-2970 1
 
2.6%
063-853-8331 1
 
2.6%
063-852-0129 1
 
2.6%
063-835-7698 1
 
2.6%
063-833-3388 1
 
2.6%
063-833-3370 1
 
2.6%
063-538-3663 1
 
2.6%
063-535-0297 1
 
2.6%
063-858-9840 1
 
2.6%
Other values (29) 29
74.4%
2024-03-15T03:27:23.416261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.6%
3 77
16.4%
6 61
13.0%
0 58
12.4%
2 49
10.4%
8 29
 
6.2%
5 28
 
6.0%
4 23
 
4.9%
1 23
 
4.9%
7 22
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 391
83.4%
Dash Punctuation 78
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 77
19.7%
6 61
15.6%
0 58
14.8%
2 49
12.5%
8 29
 
7.4%
5 28
 
7.2%
4 23
 
5.9%
1 23
 
5.9%
7 22
 
5.6%
9 21
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.6%
3 77
16.4%
6 61
13.0%
0 58
12.4%
2 49
10.4%
8 29
 
6.2%
5 28
 
6.0%
4 23
 
4.9%
1 23
 
4.9%
7 22
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.6%
3 77
16.4%
6 61
13.0%
0 58
12.4%
2 49
10.4%
8 29
 
6.2%
5 28
 
6.0%
4 23
 
4.9%
1 23
 
4.9%
7 22
 
4.7%

우편번호
Real number (ℝ)

Distinct34
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55126.487
Minimum54085
Maximum56738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-15T03:27:23.815917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54085
5-th percentile54130.9
Q154662
median55000
Q355479.5
95-th percentile56327.1
Maximum56738
Range2653
Interquartile range (IQR)817.5

Descriptive statistics

Standard deviation686.54842
Coefficient of variation (CV)0.012454057
Kurtosis-0.27491024
Mean55126.487
Median Absolute Deviation (MAD)338
Skewness0.66194813
Sum2149933
Variance471348.73
MonotonicityNot monotonic
2024-03-15T03:27:24.222388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
55039 2
 
5.1%
54893 2
 
5.1%
54545 2
 
5.1%
56165 2
 
5.1%
54662 2
 
5.1%
55927 1
 
2.6%
55633 1
 
2.6%
56038 1
 
2.6%
55326 1
 
2.6%
54143 1
 
2.6%
Other values (24) 24
61.5%
ValueCountFrequency (%)
54085 1
2.6%
54130 1
2.6%
54131 1
2.6%
54143 1
2.6%
54392 1
2.6%
54545 2
5.1%
54554 1
2.6%
54645 1
2.6%
54662 2
5.1%
54822 1
2.6%
ValueCountFrequency (%)
56738 1
2.6%
56436 1
2.6%
56315 1
2.6%
56181 1
2.6%
56165 2
5.1%
56038 1
2.6%
55927 1
2.6%
55764 1
2.6%
55633 1
2.6%
55326 1
2.6%

Interactions

2024-03-15T03:27:13.984324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:27:13.453349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:27:14.261157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:27:13.725827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:27:24.474922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호명 칭소 재 지전화번호우편번호
번호1.0001.0001.0001.0000.867
명 칭1.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
우편번호0.8671.0001.0001.0001.000
2024-03-15T03:27:24.733154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.0000.310
우편번호0.3101.000

Missing values

2024-03-15T03:27:14.545240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:27:14.876701image/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

번호명 칭소 재 지전화번호우편번호
01전주성모요양보호사교육원전주시 완산구 팔달로 229063-283-666255039
12전주성신간호학원부설요양보호사교육원전주시 완산구 팔달로 250063-285-199954995
23온누리요양보호사교육원전주시 완산구 팔달로 202-16063-231-455455000
34전주여성인력개발센터요양보호사교육원전주시 완산구 장승배기로 213063-232-234655106
45전주메디칼요양보호사교육원전주시 완산구 용머리로 57063-225-391055056
56평화요양보호사교육원전주시 완산구 장승배기로 210063-225-144155122
67송천탑클래스간호학원요양보호사교육원전주시 덕진구 천마산로 19063-277-770154829
78미래요양보호사교육원전주시 덕진구 백제대로 545063-272-474754893
89전주기전대학부설요양보호사교육원전주시 완산구 전주천동로 264 3층063-232-236054989
910현대요양보호사교육원전주시 완산구 충경로 76063-232-023055039
번호명 칭소 재 지전화번호우편번호
2930성모간호학원부설요양보호사교육원정읍시 충정로 175-1063-534-111956165
3031남원간호요양보호사교육원남원시 의총로 77 3층063-632-299355764
3132The드림요양보호사교육원남원시 시청 북1길 13 2층063-625-770956738
3233김제성모요양보호사교육원김제시 동서로 222-3063-545-988854392
3334봉동간호학원부설요양보호사교육원완주군 봉동읍 봉동로 140063-261-112555326
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