Overview

Dataset statistics

Number of variables10
Number of observations163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory82.8 B

Variable types

Numeric1
Categorical6
Text3

Alerts

공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
자료출처 is highly imbalanced (94.6%)Imbalance
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:42:39.670073
Analysis finished2024-03-14 00:42:40.229847
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct162
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.595092
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T09:42:40.289364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q141.5
median82
Q3123.5
95-th percentile156.9
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.778248
Coefficient of variation (CV)0.57846352
Kurtosis-1.1978985
Mean82.595092
Median Absolute Deviation (MAD)41
Skewness0.021236514
Sum13463
Variance2282.761
MonotonicityIncreasing
2024-03-14T09:42:40.397963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 2
 
1.2%
1 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (152) 152
93.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전주시
33 
익산시
28 
완주군
17 
군산시
16 
정읍시
14 
Other values (9)
55 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 33
20.2%
익산시 28
17.2%
완주군 17
10.4%
군산시 16
9.8%
정읍시 14
8.6%
남원시 10
 
6.1%
김제시 9
 
5.5%
장수군 7
 
4.3%
진안군 5
 
3.1%
무주군 5
 
3.1%
Other values (4) 19
11.7%

Length

2024-03-14T09:42:40.495645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 33
20.2%
익산시 28
17.2%
완주군 17
10.4%
군산시 16
9.8%
정읍시 14
8.6%
남원시 10
 
6.1%
김제시 9
 
5.5%
장수군 7
 
4.3%
진안군 5
 
3.1%
무주군 5
 
3.1%
Other values (4) 19
11.7%

시설구분
Categorical

Distinct20
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
장애인거주시설
46 
장애인주간보호시설
26 
장애인보호작업장
18 
장애인 공동생활가정
16 
장애인수어통역센터
14 
Other values (15)
43 

Length

Max length16
Median length11
Mean length8.3374233
Min length5

Unique

Unique6 ?
Unique (%)3.7%

Sample

1st row장애인주간보호시설
2nd row점자도서관
3rd row생활이동지원센터
4th row생활이동지원센터
5th row장애인주간보호시설

Common Values

ValueCountFrequency (%)
장애인거주시설 46
28.2%
장애인주간보호시설 26
16.0%
장애인보호작업장 18
 
11.0%
장애인 공동생활가정 16
 
9.8%
장애인수어통역센터 14
 
8.6%
장애인복지관 13
 
8.0%
장애인생활이동지원센터 9
 
5.5%
장애인공동생활가정 3
 
1.8%
장애인근로사업장 2
 
1.2%
장애인 단기거주시설 2
 
1.2%
Other values (10) 14
 
8.6%

Length

2024-03-14T09:42:40.586497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인거주시설 46
25.4%
장애인주간보호시설 26
14.4%
장애인보호작업장 18
 
9.9%
장애인 18
 
9.9%
공동생활가정 16
 
8.8%
장애인수어통역센터 14
 
7.7%
장애인복지관 13
 
7.2%
장애인생활이동지원센터 9
 
5.0%
장애인공동생활가정 3
 
1.7%
점자도서관 2
 
1.1%
Other values (11) 16
 
8.8%

시설명
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:40.803364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.2760736
Min length2

Characters and Unicode

Total characters1349
Distinct characters179
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

Unique163 ?
Unique (%)100.0%

Sample

1st row정다운주간보호센터
2nd row전라북도점자도서관
3rd row전북장애인생활이동지원센터
4th row전주장애인생활이동지원센터
5th row전북장애인부모회부설주간보호센터
ValueCountFrequency (%)
장애인복지관 12
 
5.9%
부설 8
 
3.9%
주간보호센터 7
 
3.4%
4
 
2.0%
주간보호시설 3
 
1.5%
장수군 2
 
1.0%
남원장애인복지관 2
 
1.0%
공동생활가정 2
 
1.0%
홍주원 1
 
0.5%
해오름3호 1
 
0.5%
Other values (162) 162
79.4%
2024-03-14T09:42:41.185796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
4.4%
51
 
3.8%
51
 
3.8%
46
 
3.4%
44
 
3.3%
43
 
3.2%
43
 
3.2%
41
 
3.0%
41
 
3.0%
37
 
2.7%
Other values (169) 893
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1299
96.3%
Space Separator 41
 
3.0%
Decimal Number 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
3 2
22.2%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1299
96.3%
Common 50
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
Common
ValueCountFrequency (%)
41
82.0%
2 4
 
8.0%
1 3
 
6.0%
3 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1299
96.3%
ASCII 50
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
ASCII
ValueCountFrequency (%)
41
82.0%
2 4
 
8.0%
1 3
 
6.0%
3 2
 
4.0%
Distinct125
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:41.464911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length18.95092
Min length13

Characters and Unicode

Total characters3089
Distinct characters188
Distinct categories7 ?
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 (%)58.3%

Sample

1st row전주시 덕진구 기린대로 549 (덕진동2가, 샬롬빌)
2nd row전주시 덕진구 학산길 26-3 (팔복동2가)
3rd row전주시 덕진구 학산길 26-3 (팔복동2가)
4th row전주시 완산구 매곡로 27-8 (동완산동)
5th row전주시 완산구 계룡산길 44-8 (삼천동2가)
ValueCountFrequency (%)
전주시 33
 
4.7%
익산시 28
 
4.0%
완산구 22
 
3.1%
완주군 17
 
2.4%
군산시 16
 
2.3%
정읍시 14
 
2.0%
덕진구 11
 
1.6%
남원시 10
 
1.4%
김제시 9
 
1.3%
장수군 7
 
1.0%
Other values (328) 532
76.1%
2024-03-14T09:42:41.803821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
17.4%
1 140
 
4.5%
110
 
3.6%
106
 
3.4%
92
 
3.0%
92
 
3.0%
2 86
 
2.8%
( 80
 
2.6%
) 80
 
2.6%
79
 
2.6%
Other values (178) 1688
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1754
56.8%
Decimal Number 564
 
18.3%
Space Separator 536
 
17.4%
Open Punctuation 80
 
2.6%
Close Punctuation 80
 
2.6%
Dash Punctuation 62
 
2.0%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Decimal Number
ValueCountFrequency (%)
1 140
24.8%
2 86
15.2%
5 58
10.3%
3 58
10.3%
7 49
 
8.7%
4 47
 
8.3%
8 39
 
6.9%
6 35
 
6.2%
9 33
 
5.9%
0 19
 
3.4%
Space Separator
ValueCountFrequency (%)
536
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1754
56.8%
Common 1335
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Common
ValueCountFrequency (%)
536
40.1%
1 140
 
10.5%
2 86
 
6.4%
( 80
 
6.0%
) 80
 
6.0%
- 62
 
4.6%
5 58
 
4.3%
3 58
 
4.3%
7 49
 
3.7%
4 47
 
3.5%
Other values (5) 139
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1754
56.8%
ASCII 1335
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
40.1%
1 140
 
10.5%
2 86
 
6.4%
( 80
 
6.0%
) 80
 
6.0%
- 62
 
4.6%
5 58
 
4.3%
3 58
 
4.3%
7 49
 
3.7%
4 47
 
3.5%
Other values (5) 139
 
10.4%
Hangul
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Distinct142
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:42.009094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/