Overview

Dataset statistics

Number of variables6
Number of observations99
Missing cells104
Missing cells (%)17.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory51.3 B

Variable types

Categorical1
Text3
Numeric2

Dataset

Description경상북도 사회복지 관련 시설현황입니다.(경상북도 시군의 장애인 지역사회재활시설의 시군명, 시설명,운영주체, 소재지, 종사자수, 보호자수 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15062652/fileData.do

Alerts

보호인원 is highly overall correlated with 종사자High correlation
종사자 is highly overall correlated with 보호인원High correlation
운영 주체 has 48 (48.5%) missing valuesMissing
소재지 has 8 (8.1%) missing valuesMissing
보호인원 has 48 (48.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:17:41.857867
Analysis finished2023-12-12 18:17:43.288405
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct24
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
포항
15 
구미
12 
안동
7 
경산
 
5
김천
 
5
Other values (19)
55 

Length

Max length3
Median length2
Mean length2.010101
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
포항 15
15.2%
구미 12
 
12.1%
안동 7
 
7.1%
경산 5
 
5.1%
김천 5
 
5.1%
영주 5
 
5.1%
경주 5
 
5.1%
상주 5
 
5.1%
칠곡 4
 
4.0%
울진 4
 
4.0%
Other values (14) 32
32.3%

Length

2023-12-13T03:17:43.348079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항 15
15.2%
구미 13
13.1%
안동 7
 
7.1%
경산 5
 
5.1%
김천 5
 
5.1%
영주 5
 
5.1%
경주 5
 
5.1%
상주 5
 
5.1%
문경 4
 
4.0%
영천 4
 
4.0%
Other values (13) 31
31.3%

시설명
Text

Distinct97
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-13T03:17:43.535378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.232323
Min length4

Characters and Unicode

Total characters1112
Distinct characters107
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

Unique95 ?
Unique (%)96.0%

Sample

1st row사랑의동산
2nd row늘사랑주간보호센터
3rd row우함주간보호센터
4th row장애인주간보호해뜨락
5th row포항장애인주간보호시설
ValueCountFrequency (%)
주간보호센터 4
 
3.7%
장애인복지관 3
 
2.8%
장애인복지관주간보호센터 2
 
1.8%
장애인주간보호센터 2
 
1.8%
영덕군수어통역센터 1
 
0.9%
청송군군수어통역센터 1
 
0.9%
울진군수어통역센터 1
 
0.9%
봉화군수어통역센터 1
 
0.9%
예천군수어통역센터 1
 
0.9%
칠곡군수어통역센터 1
 
0.9%
Other values (92) 92
84.4%
2023-12-13T03:17:43.869189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 92
 
8.3%
터 91
 
8.2%
장 55
 
4.9%
인 54
 
4.9%
애 54
 
4.9%
주 50
 
4.5%
지 44
 
4.0%
원 37
 
3.3%
보 37
 
3.3%
간 36
 
3.2%
Other values (97) 562
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1101
99.0%
Space Separator 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 92
 
8.4%
터 91
 
8.3%
장 55
 
5.0%
인 54
 
4.9%
애 54
 
4.9%
주 50
 
4.5%
지 44
 
4.0%
원 37
 
3.4%
보 37
 
3.4%
간 36
 
3.3%
Other values (96) 551
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1101
99.0%
Common 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 92
 
8.4%
터 91
 
8.3%
장 55
 
5.0%
인 54
 
4.9%
애 54
 
4.9%
주 50
 
4.5%
지 44
 
4.0%
원 37
 
3.4%
보 37
 
3.4%
간 36
 
3.3%
Other values (96) 551
50.0%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1101
99.0%
ASCII 11
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 92
 
8.4%
터 91
 
8.3%
장 55
 
5.0%
인 54
 
4.9%
애 54
 
4.9%
주 50
 
4.5%
지 44
 
4.0%
원 37
 
3.4%
보 37
 
3.4%
간 36
 
3.3%
Other values (96) 551
50.0%
ASCII
ValueCountFrequency (%)
11
100.0%

운영 주체
Text

MISSING 

Distinct39
Distinct (%)76.5%
Missing48
Missing (%)48.5%
Memory size924.0 B
2023-12-13T03:17:44.081263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.803922
Min length2

Characters and Unicode

Total characters551
Distinct characters87
Distinct categories4 ?
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 (%)60.8%

Sample

1st row한국장애인부모회 포항지회
2nd row경북지적장애인복지협회 포항지회
3rd row예티쉼터
4th row나전복지재단
5th row대구가톨릭사회복지회
ValueCountFrequency (%)
사단법인 8
 
11.3%
사회복지법인 5
 
7.0%
경상북도장애인부모회 5
 
7.0%
한국지체장애인협회 4
 
5.6%
수효복지재단 3
 
4.2%
한국장애인부모회 3
 
4.2%
예티쉼터 3
 
4.2%
포항지회 2
 
2.8%
경북지적장애인복지협회 2
 
2.8%
대구가톨릭사회복지회 2
 
2.8%
Other values (32) 34
47.9%
2023-12-13T03:17:44.474984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 50
 
9.1%
인 42
 
7.6%
회 41
 
7.4%
복 29
 
5.3%
장 26
 
4.7%
애 26
 
4.7%
단 21
 
3.8%
21
 
3.8%
사 20
 
3.6%
부 17
 
3.1%
Other values (77) 258
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
95.8%
Space Separator 21
 
3.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 50
 
9.5%
인 42
 
8.0%
회 41
 
7.8%
복 29
 
5.5%
장 26
 
4.9%
애 26
 
4.9%
단 21
 
4.0%
사 20
 
3.8%
부 17
 
3.2%
재 15
 
2.8%
Other values (74) 241
45.6%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 528
95.8%
Common 23
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 50
 
9.5%
인 42
 
8.0%
회 41
 
7.8%
복 29
 
5.5%
장 26
 
4.9%
애 26
 
4.9%
단 21
 
4.0%
사 20
 
3.8%
부 17
 
3.2%
재 15
 
2.8%
Other values (74) 241
45.6%
Common
ValueCountFrequency (%)
21
91.3%
) 1
 
4.3%
( 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
95.8%
ASCII 23
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 50
 
9.5%
인 42
 
8.0%
회 41
 
7.8%
복 29
 
5.5%
장 26
 
4.9%
애 26
 
4.9%
단 21
 
4.0%
사 20
 
3.8%
부 17
 
3.2%
재 15
 
2.8%
Other values (74) 241
45.6%
ASCII
ValueCountFrequency (%)
21
91.3%
) 1
 
4.3%
( 1
 
4.3%

소재지
Text

MISSING 

Distinct86
Distinct (%)94.5%
Missing8
Missing (%)8.1%
Memory size924.0 B
2023-12-13T03:17:44.765249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length16.604396
Min length7

Characters and Unicode

Total characters1511
Distinct characters144
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)90.1%

Sample

1st row포항시 북구 흥해읍 달전로 187
2nd row포항시 북구 새천년대로 1307/ 3F
3rd row포항시 남구 청림서길35번길 6
4th row포항시 북구 청하면 청하로243번길24
5th row포항시 남구 형산강북로 389(해도동)
ValueCountFrequency (%)
포항시 15
 
4.3%
2층 13
 
3.7%
북구 8
 
2.3%
구미시 8
 
2.3%
남구 7
 
2.0%
안동시 6
 
1.7%
김천시 5
 
1.4%
영주시 5
 
1.4%
경주시 5
 
1.4%
경산시 5
 
1.4%
Other values (208) 274
78.1%
2023-12-13T03:17:45.207347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
17.3%
1 64
 
4.2%
시 64
 
4.2%
길 58
 
3.8%
2 56
 
3.7%
로 50
 
3.3%
3 43
 
2.8%
군 36
 
2.4%
읍 34
 
2.3%
동 33
 
2.2%
Other values (134) 811
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 863
57.1%
Decimal Number 310
 
20.5%
Space Separator 262
 
17.3%
Dash Punctuation 24
 
1.6%
Close Punctuation 22
 
1.5%
Open Punctuation 22
 
1.5%
Other Punctuation 7
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 64
 
7.4%
길 58
 
6.7%
로 50
 
5.8%
군 36
 
4.2%
읍 34
 
3.9%
동 33
 
3.8%
구 25
 
2.9%
주 24
 
2.8%
층 23
 
2.7%
영 21
 
2.4%
Other values (117) 495
57.4%
Decimal Number
ValueCountFrequency (%)
1 64
20.6%
2 56
18.1%
3 43
13.9%
4 30
9.7%
0 26
8.4%
6 22
 
7.1%
5 20
 
6.5%
9 19
 
6.1%
8 18
 
5.8%
7 12
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 863
57.1%
Common 647
42.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 64
 
7.4%
길 58
 
6.7%
로 50
 
5.8%
군 36
 
4.2%
읍 34
 
3.9%
동 33
 
3.8%
구 25
 
2.9%
주 24
 
2.8%
층 23
 
2.7%
영 21
 
2.4%
Other values (117) 495
57.4%
Common
ValueCountFrequency (%)
262
40.5%
1 64
 
9.9%
2 56
 
8.7%
3 43
 
6.6%
4 30
 
4.6%
0 26
 
4.0%
- 24
 
3.7%
) 22
 
3.4%
6 22
 
3.4%
( 22
 
3.4%
Other values (6) 76
 
11.7%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 863
57.1%
ASCII 648
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
40.4%
1 64
 
9.9%
2 56
 
8.6%
3 43
 
6.6%
4 30
 
4.6%
0 26
 
4.0%
- 24
 
3.7%
) 22
 
3.4%
6 22
 
3.4%
( 22
 
3.4%
Other values (7) 77
 
11.9%
Hangul
ValueCountFrequency (%)
시 64
 
7.4%
길 58
 
6.7%
로 50
 
5.8%
군 36
 
4.2%
읍 34
 
3.9%
동 33
 
3.8%
구 25
 
2.9%
주 24
 
2.8%
층 23
 
2.7%
영 21
 
2.4%
Other values (117) 495
57.4%

보호인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)25.5%
Missing48
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean14.588235
Minimum7
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-13T03:17:45.552790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q112
median15
Q316
95-th percentile20
Maximum24
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.550642
Coefficient of variation (CV)0.24339078
Kurtosis0.056928155
Mean14.588235
Median Absolute Deviation (MAD)3
Skewness0.22564863
Sum744
Variance12.607059
MonotonicityNot monotonic
2023-12-13T03:17:45.646567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12 8
 
8.1%
16 8
 
8.1%
15 7
 
7.1%
13 6
 
6.1%
20 6
 
6.1%
10 4
 
4.0%
14 2
 
2.0%
7 2
 
2.0%
11 2
 
2.0%
17 2
 
2.0%
Other values (3) 4
 
4.0%
(Missing) 48
48.5%
ValueCountFrequency (%)
7 2
 
2.0%
10 4
4.0%
11 2
 
2.0%
12 8
8.1%
13 6
6.1%
14 2
 
2.0%
15 7
7.1%
16 8
8.1%
17 2
 
2.0%
18 2
 
2.0%
ValueCountFrequency (%)
24 1
 
1.0%
20 6
6.1%
19 1
 
1.0%
18 2
 
2.0%
17 2
 
2.0%
16 8
8.1%
15 7
7.1%
14 2
 
2.0%
13 6
6.1%
12 8
8.1%

종사자
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7575758
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-13T03:17:45.745721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile6
Maximum7
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1256826
Coefficient of variation (CV)0.29957683
Kurtosis-0.072849294
Mean3.7575758
Median Absolute Deviation (MAD)1
Skewness0.10020435
Sum372
Variance1.2671614
MonotonicityNot monotonic
2023-12-13T03:17:45.840934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 46
46.5%
2 18
 
18.2%
3 15
 
15.2%
5 14
 
14.1%
6 5
 
5.1%
7 1
 
1.0%
ValueCountFrequency (%)
2 18
 
18.2%
3 15
 
15.2%
4 46
46.5%
5 14
 
14.1%
6 5
 
5.1%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
6 5
 
5.1%
5 14
 
14.1%
4 46
46.5%
3 15
 
15.2%
2 18
 
18.2%

Interactions

2023-12-13T03:17:42.848411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:17:42.663028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:17:42.944890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:17:42.757028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:17:45.920301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설명운영 주체소재지보호인원종사자
시군명1.0000.9770.6671.0000.6320.477
시설명0.9771.0000.9470.9960.9850.904
운영 주체0.6670.9471.0000.9930.7720.487
소재지1.0000.9960.9931.0000.9580.901
보호인원0.6320.9850.7720.9581.0000.519
종사자0.4770.9040.4870.9010.5191.000
2023-12-13T03:17:46.026235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보호인원종사자시군명
보호인원1.0000.6540.310
종사자0.6541.0000.184
시군명0.3100.1841.000

Missing values

2023-12-13T03:17:43.050601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:17:43.150965image/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.
2023-12-13T03:17:43.238661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명시설명운영 주체소재지보호인원종사자
0포항사랑의동산한국장애인부모회 포항지회포항시 북구 흥해읍 달전로 187134
1포항늘사랑주간보호센터경북지적장애인복지협회 포항지회포항시 북구 새천년대로 1307/ 3F154
2포항우함주간보호센터예티쉼터포항시 남구 청림서길35번길 6144
3포항장애인주간보호해뜨락나전복지재단포항시 북구 청하면 청하로243번길24124
4포항포항장애인주간보호시설대구가톨릭사회복지회포항시 남구 형산강북로 389(해도동)154
5포항담쟁이주간보호센터사회복지법인 지인포항시 남구 연일읍 중단길 50144
6포항경북시각장애인복지관 주간보호센터경북시각장애인연합회포항시 남구 섬안로 175134
7포항선린동산포항선린복지재단포항시 북구 삼호로 480-33155
8포항선재장애인주간보호센터열린가람포항시 남구 오천읍 문덕로11번길 32-4134
9포항참좋은주간보호센터한국뇌병변인권협회 포항지부포항시 북구 청하면 동해대로 2514-3073
시군명시설명운영 주체소재지보호인원종사자
89영양영양군장애인생활이동지원센터<NA>영양군 영양읍 동서대로 90<NA>2
90영덕영덕군장애인생활이동지원센터<NA>영덕군 영덕읍 남석2길 6-1<NA>3
91청도청도군장애인생활이동지원센터<NA>청도군 청도읍 월곡2길 15<NA>2
92고령고령군장애인생활이동지원센터<NA>고령군 대가야읍 주산길 7(2층)<NA>2
93성주성주군장애인생활이동지원센터<NA>성주군 성주읍 성주읍1길 19-5<NA>2
94칠곡칠곡군장애인생활이동지원센터<NA>칠곡군 왜관읍 석전로7길 58-1<NA>3
95예천예천군장애인생활이동지원센터<NA>예천군 예천읍 시장로 168<NA>2
96봉화봉화군장애인생활이동지원센터<NA>봉화군 봉화읍 내성천2길 93<NA>2
97울진울진군장애인생활이동지원센터<NA>울진군 울진읍 공세항길 19-60<NA>2
98울릉울릉군장애인생활이동지원센터<NA>울릉군 울릉읍 도동길 253-6<NA>2