Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory104.3 B

Variable types

Text6
Categorical1
Numeric3
DateTime2

Dataset

Description인천광역시 서구 장애인복지시설 현황(시설명, 시설유형, 소재지, 정원, 입소인원, 직원현원, 설치 승인일, 법인명, 시설장, 전화번호, 팩스번호)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078097&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
정원 is highly overall correlated with 입소인원 and 2 other fieldsHigh correlation
입소인원 is highly overall correlated with 정원 and 2 other fieldsHigh correlation
직원현원 is highly overall correlated with 정원 and 2 other fieldsHigh correlation
시설유형 is highly overall correlated with 정원 and 2 other fieldsHigh correlation
시설명 has unique valuesUnique
입소인원 has 2 (8.0%) zerosZeros

Reproduction

Analysis started2024-03-18 03:44:29.168564
Analysis finished2024-03-18 03:44:32.234667
Duration3.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:32.382792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.6
Min length2

Characters and Unicode

Total characters265
Distinct characters74
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

Unique25 ?
Unique (%)100.0%

Sample

1st row소망의집
2nd row인정재활원
3rd row마전장애인공동생활가정
4th row예그리나장애인공동생활가정2호
5th row인정장애인공동생활가정1호
ValueCountFrequency (%)
소망의집 1
 
3.8%
인정재활원 1
 
3.8%
인천시립장애인예술단 1
 
3.8%
서로이음장애인주간보호센터 1
 
3.8%
구립 1
 
3.8%
해피로드장애인주간보호센터 1
 
3.8%
느티나무장애인주간보호센터 1
 
3.8%
태화인천장애인주간보호센터 1
 
3.8%
서구장애인주간보호센터 1
 
3.8%
서구장애인종합복지관(재가복지센터 1
 
3.8%
Other values (16) 16
61.5%
2024-03-18T12:44:32.693944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.8%
20
 
7.5%
18
 
6.8%
15
 
5.7%
14
 
5.3%
12
 
4.5%
10
 
3.8%
9
 
3.4%
9
 
3.4%
9
 
3.4%
Other values (64) 123
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
96.2%
Decimal Number 7
 
2.6%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
10.2%
20
 
7.8%
18
 
7.1%
15
 
5.9%
14
 
5.5%
12
 
4.7%
10
 
3.9%
9
 
3.5%
9
 
3.5%
9
 
3.5%
Other values (57) 113
44.3%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
3 1
 
14.3%
5 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
96.2%
Common 10
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
10.2%
20
 
7.8%
18
 
7.1%
15
 
5.9%
14
 
5.5%
12
 
4.7%
10
 
3.9%
9
 
3.5%
9
 
3.5%
9
 
3.5%
Other values (57) 113
44.3%
Common
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
( 1
 
10.0%
) 1
 
10.0%
1
 
10.0%
3 1
 
10.0%
5 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
96.2%
ASCII 10
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
10.2%
20
 
7.8%
18
 
7.1%
15
 
5.9%
14
 
5.5%
12
 
4.7%
10
 
3.9%
9
 
3.5%
9
 
3.5%
9
 
3.5%
Other values (57) 113
44.3%
ASCII
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
( 1
 
10.0%
) 1
 
10.0%
1
 
10.0%
3 1
 
10.0%
5 1
 
10.0%

시설유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
장애인거주시설
10 
장애인직업재활시설
장애인지역사회재활시설
정신요양시설
 
1

Length

Max length11
Median length9
Mean length8.56
Min length6

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row정신요양시설
2nd row장애인거주시설
3rd row장애인거주시설
4th row장애인거주시설
5th row장애인거주시설

Common Values

ValueCountFrequency (%)
장애인거주시설 10
40.0%
장애인직업재활시설 8
32.0%
장애인지역사회재활시설 6
24.0%
정신요양시설 1
 
4.0%

Length

2024-03-18T12:44:32.809540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:44:32.903818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인거주시설 10
40.0%
장애인직업재활시설 8
32.0%
장애인지역사회재활시설 6
24.0%
정신요양시설 1
 
4.0%
Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:33.136922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length34
Mean length32.12
Min length21

Characters and Unicode

Total characters803
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row인천광역시 서구 심곡로 132번길 22(심곡동)
2nd row인천광역시 서구 서달로 123번안길 24(석남동)
3rd row인천광역시 서구 경명대로 698-4, B동 201호(공촌동, 대국빌라)
4th row인천광역시 서구 연희로 28번길 17-1, 301호(연희동)
5th row인천광역시 서구 승학로 506번안길 57, 103동 203호(검암동, 해피하임빌)
ValueCountFrequency (%)
인천광역시 25
17.5%
서구 25
17.5%
심곡로 5
 
3.5%
해피하임빌 4
 
2.8%
103동 4
 
2.8%
57 4
 
2.8%
506번안길 4
 
2.8%
승학로 4
 
2.8%
드림로 3
 
2.1%
284-8(백석동 3
 
2.1%
Other values (50) 62
43.4%
2024-03-18T12:44:33.520494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
14.9%
32
 
4.0%
1 31
 
3.9%
28
 
3.5%
0 27
 
3.4%
2 27
 
3.4%
25
 
3.1%
25
 
3.1%
25
 
3.1%
( 25
 
3.1%
Other values (81) 438
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
54.3%
Decimal Number 162
 
20.2%
Space Separator 120
 
14.9%
Open Punctuation 25
 
3.1%
Close Punctuation 25
 
3.1%
Other Punctuation 21
 
2.6%
Dash Punctuation 10
 
1.2%
Uppercase Letter 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
7.3%
28
 
6.4%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
18
 
4.1%
Other values (62) 183
42.0%
Decimal Number
ValueCountFrequency (%)
1 31
19.1%
0 27
16.7%
2 27
16.7%
3 19
11.7%
8 14
8.6%
4 13
8.0%
6 12
 
7.4%
5 11
 
6.8%
7 6
 
3.7%
9 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
54.3%
Common 364
45.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
7.3%
28
 
6.4%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
18
 
4.1%
Other values (62) 183
42.0%
Common
ValueCountFrequency (%)
120
33.0%
1 31
 
8.5%
0 27
 
7.4%
2 27
 
7.4%
( 25
 
6.9%
) 25
 
6.9%
, 21
 
5.8%
3 19
 
5.2%
8 14
 
3.8%
4 13
 
3.6%
Other values (6) 42
 
11.5%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
54.3%
ASCII 367
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
32.7%
1 31
 
8.4%
0 27
 
7.4%
2 27
 
7.4%
( 25
 
6.8%
) 25
 
6.8%
, 21
 
5.7%
3 19
 
5.2%
8 14
 
3.8%
4 13
 
3.5%
Other values (9) 45
 
12.3%
Hangul
ValueCountFrequency (%)
32
 
7.3%
28
 
6.4%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
25
 
5.7%
18
 
4.1%
Other values (62) 183
42.0%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.72
Minimum4
Maximum178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-18T12:44:33.679789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median16
Q330
95-th percentile116.4
Maximum178
Range174
Interquartile range (IQR)26

Descriptive statistics

Standard deviation41.079719
Coefficient of variation (CV)1.4819524
Kurtosis8.1879866
Mean27.72
Median Absolute Deviation (MAD)12
Skewness2.8397535
Sum693
Variance1687.5433
MonotonicityNot monotonic
2024-03-18T12:44:33.833366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 9
36.0%
20 5
20.0%
30 3
 
12.0%
15 2
 
8.0%
128 1
 
4.0%
32 1
 
4.0%
70 1
 
4.0%
178 1
 
4.0%
16 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
4 9
36.0%
13 1
 
4.0%
15 2
 
8.0%
16 1
 
4.0%
20 5
20.0%
30 3
 
12.0%
32 1
 
4.0%
70 1
 
4.0%
128 1
 
4.0%
178 1
 
4.0%
ValueCountFrequency (%)
178 1
 
4.0%
128 1
 
4.0%
70 1
 
4.0%
32 1
 
4.0%
30 3
 
12.0%
20 5
20.0%
16 1
 
4.0%
15 2
 
8.0%
13 1
 
4.0%
4 9
36.0%

입소인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.72
Minimum0
Maximum67
Zeros2
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-18T12:44:33.983917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q13
median11
Q319
95-th percentile57.2
Maximum67
Range67
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.71186
Coefficient of variation (CV)1.2032514
Kurtosis4.0623837
Mean14.72
Median Absolute Deviation (MAD)8
Skewness2.0308584
Sum368
Variance313.71
MonotonicityNot monotonic
2024-03-18T12:44:34.129631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 5
20.0%
4 4
16.0%
14 3
12.0%
19 2
 
8.0%
0 2
 
8.0%
67 1
 
4.0%
2 1
 
4.0%
30 1
 
4.0%
29 1
 
4.0%
26 1
 
4.0%
Other values (4) 4
16.0%
ValueCountFrequency (%)
0 2
 
8.0%
2 1
 
4.0%
3 5
20.0%
4 4
16.0%
11 1
 
4.0%
12 1
 
4.0%
14 3
12.0%
16 1
 
4.0%
19 2
 
8.0%
26 1
 
4.0%
ValueCountFrequency (%)
67 1
 
4.0%
64 1
 
4.0%
30 1
 
4.0%
29 1
 
4.0%
26 1
 
4.0%
19 2
8.0%
16 1
 
4.0%
14 3
12.0%
12 1
 
4.0%
11 1
 
4.0%

직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-18T12:44:34.247827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q36
95-th percentile26.2
Maximum28
Range27
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.6157731
Coefficient of variation (CV)1.2692955
Kurtosis4.5857604
Mean6
Median Absolute Deviation (MAD)3
Skewness2.2872813
Sum150
Variance58
MonotonicityNot monotonic
2024-03-18T12:44:34.385679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9
36.0%
4 4
16.0%
5 3
 
12.0%
6 3
 
12.0%
28 2
 
8.0%
7 2
 
8.0%
19 1
 
4.0%
3 1
 
4.0%
ValueCountFrequency (%)
1 9
36.0%
3 1
 
4.0%
4 4
16.0%
5 3
 
12.0%
6 3
 
12.0%
7 2
 
8.0%
19 1
 
4.0%
28 2
 
8.0%
ValueCountFrequency (%)
28 2
 
8.0%
19 1
 
4.0%
7 2
 
8.0%
6 3
 
12.0%
5 3
 
12.0%
4 4
16.0%
3 1
 
4.0%
1 9
36.0%
Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1970-06-13 00:00:00
Maximum2023-06-19 00:00:00
2024-03-18T12:44:34.505768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:34.612369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:34.768189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.16
Min length4

Characters and Unicode

Total characters229
Distinct characters57
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

Unique9 ?
Unique (%)36.0%

Sample

1st row서천재단
2nd row인정재단
3rd row백십자사
4th row지적장애인복지협회
5th row인정재단
ValueCountFrequency (%)
인정재단 7
20.6%
사단법인 3
 
8.8%
기독교대한감리회사회복지재단 3
 
8.8%
한원복지재단 2
 
5.9%
참빛장애인복지원 2
 
5.9%
감리회태화복지재단 2
 
5.9%
사회적협동조합 2
 
5.9%
창익 1
 
2.9%
사단법인대한해병대 1
 
2.9%
전국장애인부모연대 1
 
2.9%
Other values (10) 10
29.4%
2024-03-18T12:44:35.054526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
9.2%
20
 
8.7%
15
 
6.6%
13
 
5.7%
12
 
5.2%
11
 
4.8%
11
 
4.8%
9
 
3.9%
7
 
3.1%
6
 
2.6%
Other values (47) 104
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
95.2%
Space Separator 9
 
3.9%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
9.6%
20
 
9.2%
15
 
6.9%
13
 
6.0%
12
 
5.5%
11
 
5.0%
11
 
5.0%
7
 
3.2%
6
 
2.8%
6
 
2.8%
Other values (44) 96
44.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
95.2%
Common 11
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
9.6%
20
 
9.2%
15
 
6.9%
13
 
6.0%
12
 
5.5%
11
 
5.0%
11
 
5.0%
7
 
3.2%
6
 
2.8%
6
 
2.8%
Other values (44) 96
44.0%
Common
ValueCountFrequency (%)
9
81.8%
) 1
 
9.1%
( 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
95.2%
ASCII 11
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
 
9.6%
20
 
9.2%
15
 
6.9%
13
 
6.0%
12
 
5.5%
11
 
5.0%
11
 
5.0%
7
 
3.2%
6
 
2.8%
6
 
2.8%
Other values (44) 96
44.0%
ASCII
ValueCountFrequency (%)
9
81.8%
) 1
 
9.1%
( 1
 
9.1%
Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:35.232626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters75
Distinct characters40
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

Unique17 ?
Unique (%)68.0%

Sample

1st row김현창
2nd row오인순
3rd row박영숙
4th row유혜경
5th row최미순
ValueCountFrequency (%)
최미순 4
 
16.0%
강동현 2
 
8.0%
김혜묵 2
 
8.0%
양창렬 1
 
4.0%
김현창 1
 
4.0%
이주연 1
 
4.0%
정지선 1
 
4.0%
정상미 1
 
4.0%
한윤종 1
 
4.0%
양정미 1
 
4.0%
Other values (10) 10
40.0%
2024-03-18T12:44:35.473830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
9.3%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (30) 38
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
9.3%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (30) 38
50.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
9.3%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (30) 38
50.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
9.3%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (30) 38
50.7%
Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:35.637211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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

Unique23 ?
Unique (%)92.0%

Sample

1st row032-563-2322
2nd row032-574-0250
3rd row032-568-8051
4th row032-566-5988
5th row032-563-8004
ValueCountFrequency (%)
032-575-7156 2
 
8.0%
032-563-2322 1
 
4.0%
032-569-7452 1
 
4.0%
032-573-0304 1
 
4.0%
032-567-2365 1
 
4.0%
032-574-7041 1
 
4.0%
070-8633-8246 1
 
4.0%
032-568-3247 1
 
4.0%
032-569-1244 1
 
4.0%
032-569-1240 1
 
4.0%
Other values (14) 14
56.0%
2024-03-18T12:44:35.955709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 40
13.2%
2 39
12.9%
3 38
12.6%
5 38
12.6%
7 25
8.3%
6 24
7.9%
4 18
 
6.0%
1 12
 
4.0%
8 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
15.9%
2 39
15.5%
3 38
15.1%
5 38
15.1%
7 25
9.9%
6 24
9.5%
4 18
7.1%
1 12
 
4.8%
8 12
 
4.8%
9 6
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 40
13.2%
2 39
12.9%
3 38
12.6%
5 38
12.6%
7 25
8.3%
6 24
7.9%
4 18
 
6.0%
1 12
 
4.0%
8 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 40
13.2%
2 39
12.9%
3 38
12.6%
5 38
12.6%
7 25
8.3%
6 24
7.9%
4 18
 
6.0%
1 12
 
4.0%
8 12
 
4.0%
Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T12:44:36.129321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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

Unique17 ?
Unique (%)68.0%

Sample

1st row032-563-2351
2nd row032-574-0255
3rd row032-568-8051
4th row032-566-5981
5th row032-568-7319
ValueCountFrequency (%)
032-568-7319 4
 
16.0%
032-571-4226 2
 
8.0%
032-569-1243 2
 
8.0%
032-220-5554 1
 
4.0%
032-563-2351 1
 
4.0%
032-575-1254 1
 
4.0%
032-573-0305 1
 
4.0%
032-567-2360 1
 
4.0%
032-574-8041 1
 
4.0%
070-7500-0601 1
 
4.0%
Other values (10) 10
40.0%
2024-03-18T12:44:36.370682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
3 43
14.2%
2 39
12.9%
0 38
12.6%
5 35
11.6%
6 23
7.6%
1 18
 
6.0%
7 17
 
5.6%
8 16
 
5.3%
4 14
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 43
17.1%
2 39
15.5%
0 38
15.1%
5 35
13.9%
6 23
9.1%
1 18
7.1%
7 17
 
6.7%
8 16
 
6.3%
4 14
 
5.6%
9 9
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
3 43
14.2%
2 39
12.9%
0 38
12.6%
5 35
11.6%
6 23
7.6%
1 18
 
6.0%
7 17
 
5.6%
8 16
 
5.3%
4 14
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
3 43
14.2%
2 39
12.9%
0 38
12.6%
5 35
11.6%
6 23
7.6%
1 18
 
6.0%
7 17
 
5.6%
8 16
 
5.3%
4 14
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2024-03-18T12:44:36.502843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:36.626398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T12:44:31.700948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.167885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.475244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.778686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.305745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.557410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.859872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.392987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:44:31.632026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:44:36.708041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설유형소재지정원입소인원직원현원설치 승인일법인명시설장전화번호팩스번호
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설유형1.0001.0000.7330.6690.7620.6661.0000.8490.9941.0001.000
소재지1.0000.7331.0000.0000.0000.6100.9421.0000.8720.9440.872
정원1.0000.6690.0001.0000.6850.9490.6800.7290.9261.0000.926
입소인원1.0000.7620.0000.6851.0000.6600.9440.0000.9451.0000.966
직원현원1.0000.6660.6100.9490.6601.0000.9050.7360.8941.0000.983
설치 승인일1.0001.0000.9420.6800.9440.9051.0001.0001.0000.9521.000
법인명1.0000.8491.0000.7290.0000.7361.0001.0001.0001.0001.000
시설장1.0000.9940.8720.9260.9450.8941.0001.0001.0000.9340.998
전화번호1.0001.0000.9441.0001.0001.0000.9521.0000.9341.0001.000
팩스번호1.0001.0000.8720.9260.9660.9831.0001.0000.9981.0001.000
2024-03-18T12:44:36.822412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원입소인원직원현원시설유형
정원1.0000.5220.9620.582
입소인원0.5221.0000.5020.567
직원현원0.9620.5021.0000.579
시설유형0.5820.5670.5791.000

Missing values

2024-03-18T12:44:31.962554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:44:32.130558image/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

시설명시설유형소재지정원입소인원직원현원설치 승인일법인명시설장전화번호팩스번호데이터기준일자
0소망의집정신요양시설인천광역시 서구 심곡로 132번길 22(심곡동)12867281986-04-17서천재단김현창032-563-2322032-563-23512023-07-04
1인정재활원장애인거주시설인천광역시 서구 서달로 123번안길 24(석남동)32271970-06-13인정재단오인순032-574-0250032-574-02552023-07-04
2마전장애인공동생활가정장애인거주시설인천광역시 서구 경명대로 698-4, B동 201호(공촌동, 대국빌라)4312003-03-01백십자사박영숙032-568-8051032-568-80512023-07-04
3예그리나장애인공동생활가정2호장애인거주시설인천광역시 서구 연희로 28번길 17-1, 301호(연희동)4412006-07-26지적장애인복지협회유혜경032-566-5988032-566-59812023-07-04
4인정장애인공동생활가정1호장애인거주시설인천광역시 서구 승학로 506번안길 57, 103동 203호(검암동, 해피하임빌)4412007-05-17인정재단최미순032-563-8004032-568-73192023-07-04
5인정장애인공동생활가정2호장애인거주시설인천광역시 서구 승학로 506번안길 57, 103동 303호(검암동, 해피하임빌)4412007-05-17인정재단최미순032-563-8005032-568-73192023-07-04
6인정장애인공동생활가정3호장애인거주시설인천광역시 서구 승학로 506번안길 57, 103동 202호(검암동, 해피하임빌)4312011-01-07인정재단최미순032-567-7319032-568-73192023-07-04
7인정장애인공동생활가정5호장애인거주시설인천광역시 서구 승학로 506번안길 57, 103동 302호(검암동, 해피하임빌)4412011-01-07인정재단최미순032-567-7447032-568-73192023-07-04
8한원장애인공동생활가정장애인거주시설인천광역시 서구 경명대로 698-4, A동 102호(공촌동, 대국빌라)4312013-01-29한원복지재단강동현070-7517-1347070-8238-13482023-07-04
9참빛장애인공동생활가정1호장애인거주시설인천광역시 서구 여우재로86번길 4, 1층(가좌동)4312014-10-28사단법인 참빛장애인복지원유춘하032-575-7156032-571-42262023-07-04
시설명시설유형소재지정원입소인원직원현원설치 승인일법인명시설장전화번호팩스번호데이터기준일자
15창익장애인직업재활시설인천광역시 서구 북항로 120번길 13-6, C-2동(원창동)201942020-10-28사회적협동조합 창익양창렬032-568-1254032-575-12542023-07-04
16그린페이퍼장애인직업재활시설인천광역시 서구 보듬로 158, 104~106호(오류동)201652017-02-24사회적협동조합 일원최원호032-220-5551032-220-55542023-07-04
17서구장애인종합복지관(재가복지센터)장애인지역사회재활시설인천광역시 서구 드림로 284-8(백석동)1780282006-02-21기독교대한감리회사회복지재단김혜묵032-569-1240032-569-12432023-07-04
18서구장애인주간보호센터장애인지역사회재활시설인천광역시 서구 드림로 284-8(백석동)151242006-02-21기독교대한감리회사회복지재단김혜묵032-569-1244032-569-12432023-07-04
19태화인천장애인주간보호센터장애인지역사회재활시설인천광역시 서구 심곡로 124번길 10(심곡동)201442003-05-07감리회태화복지재단양정미032-568-3247032-568-32712023-07-04
20느티나무장애인주간보호센터장애인지역사회재활시설인천광역시 서구 심곡로 100번길 8-11(심곡동)201972011-12-23한원복지재단강동현070-8633-8246070-7500-06012023-07-04
21해피로드장애인주간보호센터장애인지역사회재활시설인천광역시 서구 심곡로 100번길 8-12(심곡동)161452019-10-01(사단법인)인천광역시 중증장애인복지진흥회한윤종032-574-7041032-574-80412023-07-04
22구립 서로이음장애인주간보호센터장애인지역사회재활시설인천광역시 서구 완정로 153, 4층(왕길동, 이레메디칼센터)151442021-12-09사단법인 전국장애인부모연대정상미032-567-2365032-567-23602023-07-04
23인천시립장애인예술단장애인직업재활시설인천광역시 서구 북항로 32번길 37(원창동)201162022-03-04인정재단정지선032-573-0304032-573-03052023-07-04
24꿈돌이장애인보호작업장장애인직업재활시설인천광역시 서구 청라에메랄드로102번길 26(청라동, 서진프라자 제3층 305호, 제306호)13032023-06-19사단법인대한해병대 장애인협회이종찬032-563-8432032-563-84332023-07-04