Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory54.3 B

Variable types

Text3
Categorical1
Numeric2

Dataset

Description경상남도 김해시 요양보호사 교육기관 현황 데이터로 사업장명,영업상태,전화번호,도로명주소,위도,경도 항목을 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15086976

Alerts

영업상태 has constant value ""Constant
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:07:50.763126
Analysis finished2023-12-10 23:07:51.439023
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:07:51.576682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length11.870968
Min length9

Characters and Unicode

Total characters368
Distinct characters69
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

Unique31 ?
Unique (%)100.0%

Sample

1st row은석요양보호사교육원
2nd row율하현대요양보호사교육원
3rd row삼계요양보호사교육원
4th row김해리더스요양보호사교육원
5th row가인장유요양보호사교육원
ValueCountFrequency (%)
은석요양보호사교육원 1
 
3.2%
김해한길요양보호사교육원 1
 
3.2%
한국사회복지요양보호사교육원 1
 
3.2%
명요양보호사교육원 1
 
3.2%
김해중앙복지전문학원부설요양보호사교육원 1
 
3.2%
센텀요양보호사교육원 1
 
3.2%
장유나눔요양보호사교육원 1
 
3.2%
동김해요양보호사교육원 1
 
3.2%
진영요양보호사교육원 1
 
3.2%
김해ywca여성인력개발센터요양보호사교육원 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T08:07:51.884473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 37
10.1%
원 32
 
8.7%
육 31
 
8.4%
요 31
 
8.4%
양 31
 
8.4%
보 31
 
8.4%
호 31
 
8.4%
교 31
 
8.4%
김 12
 
3.3%
해 12
 
3.3%
Other values (59) 89
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
98.9%
Uppercase Letter 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 37
10.2%
원 32
 
8.8%
육 31
 
8.5%
요 31
 
8.5%
양 31
 
8.5%
보 31
 
8.5%
호 31
 
8.5%
교 31
 
8.5%
김 12
 
3.3%
해 12
 
3.3%
Other values (55) 85
23.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
W 1
25.0%
Y 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
98.9%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 37
10.2%
원 32
 
8.8%
육 31
 
8.5%
요 31
 
8.5%
양 31
 
8.5%
보 31
 
8.5%
호 31
 
8.5%
교 31
 
8.5%
김 12
 
3.3%
해 12
 
3.3%
Other values (55) 85
23.4%
Latin
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
W 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
98.9%
ASCII 4
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 37
10.2%
원 32
 
8.8%
육 31
 
8.5%
요 31
 
8.5%
양 31
 
8.5%
보 31
 
8.5%
호 31
 
8.5%
교 31
 
8.5%
김 12
 
3.3%
해 12
 
3.3%
Other values (55) 85
23.4%
ASCII
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
W 1
25.0%
Y 1
25.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 31
100.0%

Length

2023-12-11T08:07:51.989392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:07:52.061490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 31
100.0%

전화번호
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:07:52.199056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique29 ?
Unique (%)93.5%

Sample

1st row055-324-7008
2nd row055-328-0955
3rd row055-313-0118
4th row055-264-0515
5th row055-311-5788
ValueCountFrequency (%)
055-325-5008 2
 
6.5%
055-328-0955 1
 
3.2%
055-314-3460 1
 
3.2%
055-321-7055 1
 
3.2%
055-322-3700 1
 
3.2%
055-339-9747 1
 
3.2%
055-313-4150 1
 
3.2%
055-335-2322 1
 
3.2%
055-343-3236 1
 
3.2%
055-331-4335 1
 
3.2%
Other values (20) 20
64.5%
2023-12-11T08:07:52.461048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 85
22.8%
- 62
16.7%
0 58
15.6%
3 51
13.7%
2 28
 
7.5%
1 24
 
6.5%
7 21
 
5.6%
8 16
 
4.3%
4 13
 
3.5%
6 8
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 85
27.4%
0 58
18.7%
3 51
16.5%
2 28
 
9.0%
1 24
 
7.7%
7 21
 
6.8%
8 16
 
5.2%
4 13
 
4.2%
6 8
 
2.6%
9 6
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 85
22.8%
- 62
16.7%
0 58
15.6%
3 51
13.7%
2 28
 
7.5%
1 24
 
6.5%
7 21
 
5.6%
8 16
 
4.3%
4 13
 
3.5%
6 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 85
22.8%
- 62
16.7%
0 58
15.6%
3 51
13.7%
2 28
 
7.5%
1 24
 
6.5%
7 21
 
5.6%
8 16
 
4.3%
4 13
 
3.5%
6 8
 
2.2%

도로명주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:07:52.668736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length26.387097
Min length17

Characters and Unicode

Total characters818
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row경상남도 김해시 삼방동 194-3
2nd row경상남도 김해시 율하동 1339-3 경희메디컬빌딩 901호
3rd row경상남도 김해시 삼계동 1501-6 김해메디칼센타 401호
4th row경상남도 김해시 내동 1122-1 302호,303호
5th row경상남도 김해시 대청동 332-4 대청프라자 304호
ValueCountFrequency (%)
경상남도 31
 
18.1%
김해시 31
 
18.1%
부원동 8
 
4.7%
외동 5
 
2.9%
삼방동 3
 
1.8%
4호 3
 
1.8%
삼계동 3
 
1.8%
덕산베스트코아 2
 
1.2%
503호 2
 
1.2%
3호 2
 
1.2%
Other values (72) 81
47.4%
2023-12-11T08:07:52.992034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
17.1%
상 34
 
4.2%
1 34
 
4.2%
김 33
 
4.0%
해 33
 
4.0%
경 32
 
3.9%
남 32
 
3.9%
3 32
 
3.9%
도 31
 
3.8%
시 31
 
3.8%
Other values (76) 386
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
56.1%
Decimal Number 195
23.8%
Space Separator 140
 
17.1%
Dash Punctuation 21
 
2.6%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 34
 
7.4%
김 33
 
7.2%
해 33
 
7.2%
경 32
 
7.0%
남 32
 
7.0%
도 31
 
6.8%
시 31
 
6.8%
동 31
 
6.8%
호 26
 
5.7%
지 11
 
2.4%
Other values (62) 165
35.9%
Decimal Number
ValueCountFrequency (%)
1 34
17.4%
3 32
16.4%
0 27
13.8%
2 22
11.3%
6 22
11.3%
4 21
10.8%
5 15
7.7%
8 9
 
4.6%
9 8
 
4.1%
7 5
 
2.6%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
56.1%
Common 358
43.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 34
 
7.4%
김 33
 
7.2%
해 33
 
7.2%
경 32
 
7.0%
남 32
 
7.0%
도 31
 
6.8%
시 31
 
6.8%
동 31
 
6.8%
호 26
 
5.7%
지 11
 
2.4%
Other values (62) 165
35.9%
Common
ValueCountFrequency (%)
140
39.1%
1 34
 
9.5%
3 32
 
8.9%
0 27
 
7.5%
2 22
 
6.1%
6 22
 
6.1%
- 21
 
5.9%
4 21
 
5.9%
5 15
 
4.2%
8 9
 
2.5%
Other values (3) 15
 
4.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
56.1%
ASCII 359
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
39.0%
1 34
 
9.5%
3 32
 
8.9%
0 27
 
7.5%
2 22
 
6.1%
6 22
 
6.1%
- 21
 
5.8%
4 21
 
5.8%
5 15
 
4.2%
8 9
 
2.5%
Other values (4) 16
 
4.5%
Hangul
ValueCountFrequency (%)
상 34
 
7.4%
김 33
 
7.2%
해 33
 
7.2%
경 32
 
7.0%
남 32
 
7.0%
도 31
 
6.8%
시 31
 
6.8%
동 31
 
6.8%
호 26
 
5.7%
지 11
 
2.4%
Other values (62) 165
35.9%

위도
Real number (ℝ)

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.233137
Minimum35.171048
Maximum35.303641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T08:07:53.096004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.171048
5-th percentile35.187594
Q135.227325
median35.231504
Q335.24483
95-th percentile35.28221
Maximum35.303641
Range0.13259263
Interquartile range (IQR)0.01750573

Descriptive statistics

Standard deviation0.028471692
Coefficient of variation (CV)0.00080809416
Kurtosis1.4045242
Mean35.233137
Median Absolute Deviation (MAD)0.00941423
Skewness0.32271603
Sum1092.2273
Variance0.00081063726
MonotonicityNot monotonic
2023-12-11T08:07:53.194947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.22814165 2
 
6.5%
35.23388187 2
 
6.5%
35.22732463 2
 
6.5%
35.23415195 1
 
3.2%
35.24731817 1
 
3.2%
35.23099653 1
 
3.2%
35.2296395 1
 
3.2%
35.22743311 1
 
3.2%
35.20367964 1
 
3.2%
35.24943325 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
35.17104834 1
3.2%
35.18531899 1
3.2%
35.18986952 1
3.2%
35.19416075 1
3.2%
35.20367964 1
3.2%
35.20412431 1
3.2%
35.2266748 1
3.2%
35.22732463 2
6.5%
35.22743311 1
3.2%
35.22751115 1
3.2%
ValueCountFrequency (%)
35.30364097 1
3.2%
35.30190888 1
3.2%
35.26251098 1
3.2%
35.26021008 1
3.2%
35.25876887 1
3.2%
35.24943325 1
3.2%
35.24731817 1
3.2%
35.24651691 1
3.2%
35.24314381 1
3.2%
35.24091867 1
3.2%

경도
Real number (ℝ)

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.85588
Minimum128.72764
Maximum128.91159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T08:07:53.292756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72764
5-th percentile128.76967
Q1128.83356
median128.86804
Q3128.88519
95-th percentile128.90841
Maximum128.91159
Range0.1839506
Interquartile range (IQR)0.051633

Descriptive statistics

Standard deviation0.045890577
Coefficient of variation (CV)0.00035613879
Kurtosis1.4266356
Mean128.85588
Median Absolute Deviation (MAD)0.0179204
Skewness-1.3538688
Sum3994.5323
Variance0.0021059451
MonotonicityNot monotonic
2023-12-11T08:07:53.395145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.8865375 2
 
6.5%
128.8668907 2
 
6.5%
128.8823981 2
 
6.5%
128.8669375 1
 
3.2%
128.9078766 1
 
3.2%
128.8844264 1
 
3.2%
128.8639233 1
 
3.2%
128.8909569 1
 
3.2%
128.8091429 1
 
3.2%
128.8728364 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
128.7276371 1
3.2%
128.7412012 1
3.2%
128.7981345 1
3.2%
128.798298 1
3.2%
128.8065242 1
3.2%
128.8086971 1
3.2%
128.8091429 1
3.2%
128.8132101 1
3.2%
128.8539129 1
3.2%
128.8612007 1
3.2%
ValueCountFrequency (%)
128.9115877 1
3.2%
128.9089445 1
3.2%
128.9078766 1
3.2%
128.8913752 1
3.2%
128.8909569 1
3.2%
128.8865375 2
6.5%
128.8859626 1
3.2%
128.8844264 1
3.2%
128.8825119 1
3.2%
128.8823981 2
6.5%

Interactions

2023-12-11T08:07:51.132487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:50.979860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:51.214238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:51.053807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:07:53.464200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명전화번호도로명주소위도경도
사업장명1.0001.0001.0001.0001.000
전화번호1.0001.0000.9911.0001.000
도로명주소1.0000.9911.0001.0001.000
위도1.0001.0001.0001.0000.941
경도1.0001.0001.0000.9411.000
2023-12-11T08:07:53.537356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.182
경도0.1821.000

Missing values

2023-12-11T08:07:51.314935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:07:51.406841image/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

사업장명영업상태전화번호도로명주소위도경도
0은석요양보호사교육원영업055-324-7008경상남도 김해시 삼방동 194-335.243144128.911588
1율하현대요양보호사교육원영업055-328-0955경상남도 김해시 율하동 1339-3 경희메디컬빌딩 901호35.171048128.81321
2삼계요양보호사교육원영업055-313-0118경상남도 김해시 삼계동 1501-6 김해메디칼센타 401호35.26021128.868369
3김해리더스요양보호사교육원영업055-264-0515경상남도 김해시 내동 1122-1 302호,303호35.237875128.866955
4가인장유요양보호사교육원영업055-311-5788경상남도 김해시 대청동 332-4 대청프라자 304호35.185319128.798135
5더온요양보호사교육원영업055-322-2875경상남도 김해시 동상동 1101-4 502호,503호35.240919128.885963
6김해행복요양보호사교육원영업055-338-8802경상남도 김해시 부원동 604-9 부원빌딩3층35.227325128.882398
7한사랑요양보호사교육원영업055-311-6007경상남도 김해시 삼문동 584-3 A동 503호35.18987128.806524
8수요양보호사교육원영업055-321-0990경상남도 김해시 부원동 604-9 부원빌딩3층35.227325128.882398
9효사랑요양보호사교육원영업055-337-1288경상남도 김해시 외동 1034-4 301호35.231504128.853913
사업장명영업상태전화번호도로명주소위도경도
21가야중앙요양보호사교육원영업055-325-5008경상남도 김해시 부원동 620번지 3호 3층35.228142128.886538
22김해YWCA여성인력개발센터요양보호사교육원영업055-331-4335경상남도 김해시 삼계동 1469번지 5호35.262511128.868042
23진영요양보호사교육원영업055-343-3236경상남도 김해시 진영읍 여래리 360-6 수정상가 301호35.301909128.741201
24동김해요양보호사교육원영업055-335-2322경상남도 김해시 구산동 467-835.249433128.872836
25장유나눔요양보호사교육원영업055-313-4150경상남도 김해시 장유면 삼문리 31-4번지 성환프리마빌딩 501호35.20368128.809143
26센텀요양보호사교육원영업055-339-9747경상남도 김해시 부원동 625번지 4호35.227433128.890957
27김해중앙복지전문학원부설요양보호사교육원영업055-322-3700경상남도 김해시 외동 238-13 4층35.229639128.863923
28명요양보호사교육원영업055-321-7055경상남도 김해시 부원동 42번지 4호35.230997128.884426
29한국사회복지요양보호사교육원영업055-314-3460경상남도 김해시 삼방동 678번지 2호 2층35.247318128.907877
30김해한국요양보호사교육원영업055-326-5595경상남도 김해시 외동 1256번지 2호 리치빌딩 503호35.234152128.866938