Overview

Dataset statistics

Number of variables10
Number of observations88
Missing cells8
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory84.5 B

Variable types

Numeric3
Categorical2
Text5

Dataset

Description전라남도 순천시 사회복지시설 현황 정보입니다. 시설유형, 시설명, 소재지, 대표자, 전화번호, 종사자수 등의 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3077099/fileData.do

Alerts

구분 is highly overall correlated with 시설유형High correlation
시설유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 시설유형High correlation
입소정원수 is highly overall correlated with 시설유형High correlation
구분 is highly imbalanced (54.9%)Imbalance
입소정원수 has 8 (9.1%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
입소정원수 has 15 (17.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:07:41.094412
Analysis finished2023-12-12 22:07:43.148141
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-13T07:07:43.243134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2023-12-13T07:07:43.376867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
노인
64 
장애인
12 
<NA>
 
6
정신
 
1
아동
 
1
Other values (4)
 
4

Length

Max length4
Median length2
Mean length2.2954545
Min length2

Unique

Unique6 ?
Unique (%)6.8%

Sample

1st row정신
2nd row<NA>
3rd row노인
4th row노인
5th row노인

Common Values

ValueCountFrequency (%)
노인 64
72.7%
장애인 12
 
13.6%
<NA> 6
 
6.8%
정신 1
 
1.1%
아동 1
 
1.1%
다문화 1
 
1.1%
노숙인 1
 
1.1%
자활 1
 
1.1%
기타 1
 
1.1%

Length

2023-12-13T07:07:43.505044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:43.640710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인 64
72.7%
장애인 12
 
13.6%
na 6
 
6.8%
정신 1
 
1.1%
아동 1
 
1.1%
다문화 1
 
1.1%
노숙인 1
 
1.1%
자활 1
 
1.1%
기타 1
 
1.1%

시설유형
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
재가노인복지시설
28 
노인의료복지시설
27 
장애인지역사회재활시설
6 
<NA>
4 
노인여가복지시설
4 
Other values (12)
19 

Length

Max length11
Median length8
Mean length7.9204545
Min length4

Unique

Unique9 ?
Unique (%)10.2%

Sample

1st row정신재활시설
2nd row정신요양시설
3rd row재가노인복지시설
4th row재가노인복지시설
5th row재가노인복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 28
31.8%
노인의료복지시설 27
30.7%
장애인지역사회재활시설 6
 
6.8%
<NA> 4
 
4.5%
노인여가복지시설 4
 
4.5%
노인주거복지시설 4
 
4.5%
장애인직업재활시설 3
 
3.4%
장애인거주시설 3
 
3.4%
아동복지시설 1
 
1.1%
노인일자리지원기관 1
 
1.1%
Other values (7) 7
 
8.0%

Length

2023-12-13T07:07:43.793862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재가노인복지시설 28
31.8%
노인의료복지시설 27
30.7%
장애인지역사회재활시설 6
 
6.8%
na 4
 
4.5%
노인여가복지시설 4
 
4.5%
노인주거복지시설 4
 
4.5%
장애인직업재활시설 3
 
3.4%
장애인거주시설 3
 
3.4%
지역자활센터 1
 
1.1%
노숙인복지시설 1
 
1.1%
Other values (7) 7
 
8.0%

시설명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T07:07:44.037240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.1931818
Min length3

Characters and Unicode

Total characters721
Distinct characters166
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row사랑샘
2nd row인선요양원
3rd row순천조례노인복지센터
4th row실버사랑노인복지센터
5th row순천린제노인복지센터
ValueCountFrequency (%)
순천시 2
 
2.2%
사랑샘 1
 
1.1%
행복하우스 1
 
1.1%
미라클센터 1
 
1.1%
순천사랑노인복지시설 1
 
1.1%
남부종합복지관 1
 
1.1%
동부종합복지관 1
 
1.1%
용당노인복지관 1
 
1.1%
효자노인복지센터 1
 
1.1%
효부사랑요양원 1
 
1.1%
Other values (82) 82
88.2%
2023-12-13T07:07:44.442811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 39
 
5.4%
터 39
 
5.4%
지 38
 
5.3%
센 37
 
5.1%
복 37
 
5.1%
노 30
 
4.2%
천 24
 
3.3%
순 24
 
3.3%
원 19
 
2.6%
양 15
 
2.1%
Other values (156) 419
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
98.6%
Space Separator 5
 
0.7%
Uppercase Letter 3
 
0.4%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 39
 
5.5%
터 39
 
5.5%
지 38
 
5.3%
센 37
 
5.2%
복 37
 
5.2%
노 30
 
4.2%
천 24
 
3.4%
순 24
 
3.4%
원 19
 
2.7%
양 15
 
2.1%
Other values (151) 409
57.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
98.6%
Common 7
 
1.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 39
 
5.5%
터 39
 
5.5%
지 38
 
5.3%
센 37
 
5.2%
복 37
 
5.2%
노 30
 
4.2%
천 24
 
3.4%
순 24
 
3.4%
원 19
 
2.7%
양 15
 
2.1%
Other values (151) 409
57.5%
Common
ValueCountFrequency (%)
5
71.4%
· 1
 
14.3%
) 1
 
14.3%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
98.6%
ASCII 9
 
1.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 39
 
5.5%
터 39
 
5.5%
지 38
 
5.3%
센 37
 
5.2%
복 37
 
5.2%
노 30
 
4.2%
천 24
 
3.4%
순 24
 
3.4%
원 19
 
2.7%
양 15
 
2.1%
Other values (151) 409
57.5%
ASCII
ValueCountFrequency (%)
5
55.6%
S 2
 
22.2%
O 1
 
11.1%
) 1
 
11.1%
None
ValueCountFrequency (%)
· 1
100.0%

소재지
Text

Distinct82
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T07:07:44.783913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27.5
Mean length20.909091
Min length14

Characters and Unicode

Total characters1840
Distinct characters140
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

Unique77 ?
Unique (%)87.5%

Sample

1st row순천시 강변로 977 (석현동)
2nd row순천시 매봉길 30 (조례동)
3rd row전라남도 순천시 신월큰길 41 (조례동)
4th row전라남도 순천시 북정2길 9 (매곡동)
5th row전라남도 순천시 저전길 84 (인제동)
ValueCountFrequency (%)
순천시 88
 
20.6%
전라남도 60
 
14.0%
서면 12
 
2.8%
조례동 12
 
2.8%
상사면 11
 
2.6%
연향동 7
 
1.6%
1층 5
 
1.2%
인제동 4
 
0.9%
2층 4
 
0.9%
중앙로 4
 
0.9%
Other values (161) 221
51.6%
2023-12-13T07:07:45.258447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
18.5%
천 94
 
5.1%
순 91
 
4.9%
시 88
 
4.8%
길 69
 
3.8%
남 65
 
3.5%
전 65
 
3.5%
동 64
 
3.5%
도 61
 
3.3%
라 60
 
3.3%
Other values (130) 843
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
60.2%
Space Separator 340
 
18.5%
Decimal Number 254
 
13.8%
Close Punctuation 55
 
3.0%
Open Punctuation 55
 
3.0%
Other Punctuation 17
 
0.9%
Dash Punctuation 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 94
 
8.5%
순 91
 
8.2%
시 88
 
7.9%
길 69
 
6.2%
남 65
 
5.9%
전 65
 
5.9%
동 64
 
5.8%
도 61
 
5.5%
라 60
 
5.4%
면 30
 
2.7%
Other values (115) 420
37.9%
Decimal Number
ValueCountFrequency (%)
1 58
22.8%
2 38
15.0%
3 27
10.6%
7 25
9.8%
4 22
 
8.7%
6 21
 
8.3%
8 20
 
7.9%
5 19
 
7.5%
9 13
 
5.1%
0 11
 
4.3%
Space Separator
ValueCountFrequency (%)
340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
60.2%
Common 733
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 94
 
8.5%
순 91
 
8.2%
시 88
 
7.9%
길 69
 
6.2%
남 65
 
5.9%
전 65
 
5.9%
동 64
 
5.8%
도 61
 
5.5%
라 60
 
5.4%
면 30
 
2.7%
Other values (115) 420
37.9%
Common
ValueCountFrequency (%)
340
46.4%
1 58
 
7.9%
) 55
 
7.5%
( 55
 
7.5%
2 38
 
5.2%
3 27
 
3.7%
7 25
 
3.4%
4 22
 
3.0%
6 21
 
2.9%
8 20
 
2.7%
Other values (5) 72
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
60.2%
ASCII 733
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
46.4%
1 58
 
7.9%
) 55
 
7.5%
( 55
 
7.5%
2 38
 
5.2%
3 27
 
3.7%
7 25
 
3.4%
4 22
 
3.0%
6 21
 
2.9%
8 20
 
2.7%
Other values (5) 72
 
9.8%
Hangul
ValueCountFrequency (%)
천 94
 
8.5%
순 91
 
8.2%
시 88
 
7.9%
길 69
 
6.2%
남 65
 
5.9%
전 65
 
5.9%
동 64
 
5.8%
도 61
 
5.5%
라 60
 
5.4%
면 30
 
2.7%
Other values (115) 420
37.9%

대표자
Text

Distinct76
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T07:07:45.571066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters260
Distinct characters100
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)76.1%

Sample

1st row구미정
2nd row안효상
3rd row주경순
4th row김정숙
5th row윤동성
ValueCountFrequency (%)
은광석 3
 
3.4%
김영국 3
 
3.4%
허석 3
 
3.4%
오문숙 2
 
2.3%
윤동성 2
 
2.3%
유환채 2
 
2.3%
형근혜 2
 
2.3%
김연숙 2
 
2.3%
정한나 2
 
2.3%
심상희 1
 
1.1%
Other values (66) 66
75.0%
2023-12-13T07:07:45.975235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 18
 
6.9%
정 14
 
5.4%
숙 9
 
3.5%
희 8
 
3.1%
석 7
 
2.7%
영 7
 
2.7%
이 7
 
2.7%
연 6
 
2.3%
은 5
 
1.9%
유 5
 
1.9%
Other values (90) 174
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 18
 
6.9%
정 14
 
5.4%
숙 9
 
3.5%
희 8
 
3.1%
석 7
 
2.7%
영 7
 
2.7%
이 7
 
2.7%
연 6
 
2.3%
은 5
 
1.9%
유 5
 
1.9%
Other values (90) 174
66.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 18
 
6.9%
정 14
 
5.4%
숙 9
 
3.5%
희 8
 
3.1%
석 7
 
2.7%
영 7
 
2.7%
이 7
 
2.7%
연 6
 
2.3%
은 5
 
1.9%
유 5
 
1.9%
Other values (90) 174
66.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 18
 
6.9%
정 14
 
5.4%
숙 9
 
3.5%
희 8
 
3.1%
석 7
 
2.7%
영 7
 
2.7%
이 7
 
2.7%
연 6
 
2.3%
은 5
 
1.9%
유 5
 
1.9%
Other values (90) 174
66.9%

전화번호
Text

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T07:07:46.216501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022727
Min length12

Characters and Unicode

Total characters1058
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

Unique82 ?
Unique (%)93.2%

Sample

1st row061-753-7770
2nd row061-721-0264
3rd row061-722-1368
4th row061-746-6263
5th row061-741-3055
ValueCountFrequency (%)
061-723-6675 2
 
2.3%
061-744-0826 2
 
2.3%
061-744-5808 2
 
2.3%
061-743-2927 1
 
1.1%
061-741-3063 1
 
1.1%
061-742-0316 1
 
1.1%
061-749-4372 1
 
1.1%
061-749-8417 1
 
1.1%
061-754-8875 1
 
1.1%
061-746-7782 1
 
1.1%
Other values (75) 75
85.2%
2023-12-13T07:07:46.581223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 176
16.6%
0 153
14.5%
1 132
12.5%
6 129
12.2%
7 120
11.3%
5 95
9.0%
4 76
7.2%
2 66
 
6.2%
3 40
 
3.8%
8 39
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
83.4%
Dash Punctuation 176
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 153
17.3%
1 132
15.0%
6 129
14.6%
7 120
13.6%
5 95
10.8%
4 76
8.6%
2 66
7.5%
3 40
 
4.5%
8 39
 
4.4%
9 32
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1058
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 176
16.6%
0 153
14.5%
1 132
12.5%
6 129
12.2%
7 120
11.3%
5 95
9.0%
4 76
7.2%
2 66
 
6.2%
3 40
 
3.8%
8 39
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 176
16.6%
0 153
14.5%
1 132
12.5%
6 129
12.2%
7 120
11.3%
5 95
9.0%
4 76
7.2%
2 66
 
6.2%
3 40
 
3.8%
8 39
 
3.7%

입소정원수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct38
Distinct (%)47.5%
Missing8
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean46.125
Minimum0
Maximum450
Zeros15
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-13T07:07:46.712548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median25
Q348
95-th percentile150
Maximum450
Range450
Interquartile range (IQR)39

Descriptive statistics

Standard deviation76.791741
Coefficient of variation (CV)1.6648616
Kurtosis15.302586
Mean46.125
Median Absolute Deviation (MAD)17
Skewness3.6786787
Sum3690
Variance5896.9715
MonotonicityNot monotonic
2023-12-13T07:07:46.822029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 15
17.0%
29 6
 
6.8%
9 5
 
5.7%
49 4
 
4.5%
15 4
 
4.5%
21 3
 
3.4%
25 3
 
3.4%
30 2
 
2.3%
28 2
 
2.3%
26 2
 
2.3%
Other values (28) 34
38.6%
(Missing) 8
 
9.1%
ValueCountFrequency (%)
0 15
17.0%
7 2
 
2.3%
9 5
 
5.7%
10 1
 
1.1%
13 2
 
2.3%
14 1
 
1.1%
15 4
 
4.5%
17 1
 
1.1%
18 2
 
2.3%
20 1
 
1.1%
ValueCountFrequency (%)
450 1
1.1%
400 1
1.1%
300 1
1.1%
150 2
2.3%
128 1
1.1%
126 1
1.1%
112 1
1.1%
100 1
1.1%
94 1
1.1%
90 1
1.1%

종사자수
Real number (ℝ)

Distinct42
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.704545
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-13T07:07:46.942907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17.75
median16.5
Q326
95-th percentile56
Maximum79
Range78
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation17.172659
Coefficient of variation (CV)0.82941491
Kurtosis1.5815435
Mean20.704545
Median Absolute Deviation (MAD)9.5
Skewness1.4226017
Sum1822
Variance294.90021
MonotonicityNot monotonic
2023-12-13T07:07:47.079269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 9
 
10.2%
10 5
 
5.7%
7 5
 
5.7%
26 4
 
4.5%
20 4
 
4.5%
17 4
 
4.5%
3 3
 
3.4%
12 3
 
3.4%
16 3
 
3.4%
21 3
 
3.4%
Other values (32) 45
51.1%
ValueCountFrequency (%)
1 1
 
1.1%
3 3
 
3.4%
4 2
 
2.3%
5 9
10.2%
6 2
 
2.3%
7 5
5.7%
8 2
 
2.3%
9 2
 
2.3%
10 5
5.7%
11 1
 
1.1%
ValueCountFrequency (%)
79 1
1.1%
72 1
1.1%
62 1
1.1%
57 1
1.1%
56 2
2.3%
55 1
1.1%
54 1
1.1%
52 1
1.1%
50 1
1.1%
47 1
1.1%

담당자(문의전화)
Text

Distinct73
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T07:07:47.311023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters1144
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)77.3%

Sample

1st row김해솔(749-6888)
2nd row김해솔(749-6888)
3rd row장진욱(749-6292)
4th row장진욱(749-6293)
5th row장진욱(749-6294)
ValueCountFrequency (%)
장숙희(749-6270 9
 
10.2%
박예림(749-6303 4
 
4.5%
선미영(749-6268 3
 
3.4%
김해솔(749-6888 2
 
2.3%
문강희(749-6223 2
 
2.3%
장진욱(749-6328 1
 
1.1%
장진욱(749-6331 1
 
1.1%
장진욱(749-6348 1
 
1.1%
장진욱(749-6337 1
 
1.1%
장진욱(749-6347 1
 
1.1%
Other values (63) 63
71.6%
2023-12-13T07:07:47.626149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 108
9.4%
7 105
9.2%
9 103
 
9.0%
6 95
 
8.3%
) 88
 
7.7%
( 88
 
7.7%
- 88
 
7.7%
3 78
 
6.8%
장 69
 
6.0%
진 60
 
5.2%
Other values (35) 262
22.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 616
53.8%
Other Letter 264
23.1%
Close Punctuation 88
 
7.7%
Open Punctuation 88
 
7.7%
Dash Punctuation 88
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 69
26.1%
진 60
22.7%
욱 60
22.7%
희 11
 
4.2%
숙 9
 
3.4%
박 5
 
1.9%
림 4
 
1.5%
선 4
 
1.5%
미 4
 
1.5%
영 4
 
1.5%
Other values (22) 34
12.9%
Decimal Number
ValueCountFrequency (%)
4 108
17.5%
7 105
17.0%
9 103
16.7%
6 95
15.4%
3 78
12.7%
2 51
8.3%
0 30
 
4.9%
1 18
 
2.9%
8 17
 
2.8%
5 11
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
76.9%
Hangul 264
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 69
26.1%
진 60
22.7%
욱 60
22.7%
희 11
 
4.2%
숙 9
 
3.4%
박 5
 
1.9%
림 4
 
1.5%
선 4
 
1.5%
미 4
 
1.5%
영 4
 
1.5%
Other values (22) 34
12.9%
Common
ValueCountFrequency (%)
4 108
12.3%
7 105
11.9%
9 103
11.7%
6 95
10.8%
) 88
10.0%
( 88
10.0%
- 88
10.0%
3 78
8.9%
2 51
5.8%
0 30
 
3.4%
Other values (3) 46
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 880
76.9%
Hangul 264
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 108
12.3%
7 105
11.9%
9 103
11.7%
6 95
10.8%
) 88
10.0%
( 88
10.0%
- 88
10.0%
3 78
8.9%
2 51
5.8%
0 30
 
3.4%
Other values (3) 46
5.2%
Hangul
ValueCountFrequency (%)
장 69
26.1%
진 60
22.7%
욱 60
22.7%
희 11
 
4.2%
숙 9
 
3.4%
박 5
 
1.9%
림 4
 
1.5%
선 4
 
1.5%
미 4
 
1.5%
영 4
 
1.5%
Other values (22) 34
12.9%

Interactions

2023-12-13T07:07:42.354225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:41.926620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.123155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.748822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:41.986201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.190760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.822596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.049545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:42.268596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:07:47.720703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설유형시설명소재지대표자전화번호입소정원수종사자수담당자(문의전화)
연번1.0000.6950.8751.0000.9790.8920.9350.3970.3870.995
구분0.6951.0001.0001.0001.0001.0001.0000.6820.0001.000
시설유형0.8751.0001.0001.0000.5660.9950.0000.8660.0000.701
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9791.0000.5661.0001.0000.9970.9960.0000.7140.998
대표자0.8921.0000.9951.0000.9971.0000.9990.7770.0000.924
전화번호0.9351.0000.0001.0000.9960.9991.0000.7280.4480.979
입소정원수0.3970.6820.8661.0000.0000.7770.7281.0000.3390.000
종사자수0.3870.0000.0001.0000.7140.0000.4480.3391.0000.979
담당자(문의전화)0.9951.0000.7011.0000.9980.9240.9790.0000.9791.000
2023-12-13T07:07:47.829756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설유형
구분1.0000.959
시설유형0.9591.000
2023-12-13T07:07:47.906851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원수종사자수구분시설유형
연번1.0000.305-0.4100.4170.568
입소정원수0.3051.0000.2120.4880.612
종사자수-0.4100.2121.0000.0000.000
구분0.4170.4880.0001.0000.959
시설유형0.5680.6120.0000.9591.000

Missing values

2023-12-13T07:07:42.949399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:07:43.083089image/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

연번구분시설유형시설명소재지대표자전화번호입소정원수종사자수담당자(문의전화)
01정신정신재활시설사랑샘순천시 강변로 977 (석현동)구미정061-753-77702510김해솔(749-6888)
12<NA>정신요양시설인선요양원순천시 매봉길 30 (조례동)안효상061-721-026412823김해솔(749-6888)
23노인재가노인복지시설순천조례노인복지센터전라남도 순천시 신월큰길 41 (조례동)주경순061-722-1368052장진욱(749-6292)
34노인재가노인복지시설실버사랑노인복지센터전라남도 순천시 북정2길 9 (매곡동)김정숙061-746-62638056장진욱(749-6293)
45노인재가노인복지시설순천린제노인복지센터전라남도 순천시 저전길 84 (인제동)윤동성061-741-3055072장진욱(749-6294)
56노인재가노인복지시설새순천노인복지센터전라남도 순천시 해룡면 조례못등길 78박봉희061-908-5800062장진욱(749-6295)
67노인재가노인복지시설한솔노인복지센터전라남도 순천시 유동길 65 (조례동)유환채061-723-6675042장진욱(749-6296)
78노인재가노인복지시설밝은생각노인복지센터전라남도 순천시 봉화2길 97, 4층 (조례동)위종욱061-724-70891812장진욱(749-6297)
89노인재가노인복지시설순천생협주야간보호센터전라남도 순천시 중앙로 67, 4층서희원061-742-6800057장진욱(749-6298)
910노인재가노인복지시설실버베이노인주야간보호센터전라남도 순천시 덕암2길 14 (덕암동)김길영061-744-26883516장진욱(749-6299)
연번구분시설유형시설명소재지대표자전화번호입소정원수종사자수담당자(문의전화)
7879<NA>기타복지시설전라남도지적발달장애인자립지원센터순천시 강남로 27 (장천동)문얌숙061-744-08261505선미영(749-6270)
7980아동아동복지시설행복샘터순천시 삼산로 92-5 (용당동)박미자061-755-558075박예림(749-6303)
8081<NA><NA>평화로운 집순천시 연향번영길 94, 106동 401호 (연향동, 동성아파트)박일순061-723-636773박예림(749-6303)
8182<NA><NA>순천성신원순천시 저전길 84 (인제동)윤동성061-744-29649026박예림(749-6303)
8283<NA><NA>순천SOS어린이마을순천시 용수동길 111 (와룡동)김효승061-752-756610029박예림(749-6303)
8384다문화다문화가족복지시설순천시 건강가정·다문화가족지원센터순천시 중앙로 255 (석현동)김성희061-750-5353<NA>20오수연(749-6275)
8485노숙인노숙인복지시설인애원순천시 매봉길 30 (조례동)문형철061-721-156512615윤은경(749-6222)
8586자활지역자활센터순천지역자활센터순천시 남제새길 19(남정동)고연주061-744-38251509오화자(749-6262)
8687기타일반사회복지시설순천종합사회복지관순천시 저전길 84 (인제동)허규만061-741-3063<NA>13문강희(749-6223)
8788<NA><NA>순천조례종합사회복지관순천시 신월큰길 54 (조례동)신애란061-722-2304<NA>8문강희(749-6223)