Overview

Dataset statistics

Number of variables9
Number of observations45
Missing cells43
Missing cells (%)10.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory78.9 B

Variable types

Text3
Categorical1
Numeric4
DateTime1

Dataset

Description부산진구 소재 노인의료복지시설 및 재가노인복지시설의 시설명, 종류, 규모, 연면적, 주소, 1일 평균 인원, 위도, 경도 등 노인복지시설의 전반적인 현황 데이터를 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15055228/fileData.do

Alerts

기준일 has constant value ""Constant
연면적(제곱미터) is highly overall correlated with 종류High correlation
1일 평균이용인원 is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
규모 has 43 (95.6%) missing valuesMissing
연면적(제곱미터) has unique valuesUnique
1일 평균이용인원 has 13 (28.9%) zerosZeros

Reproduction

Analysis started2023-12-12 16:59:30.027763
Analysis finished2023-12-12 16:59:32.448144
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T01:59:32.633787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.133333
Min length5

Characters and Unicode

Total characters456
Distinct characters117
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row더불어 사는집
2nd row소망노인복지센터
3rd row부산진구 노인요양센터
4th row선재노인전문요양원
5th row새롬노인요양공동생활가정
ValueCountFrequency (%)
소망노인복지센터 2
 
3.9%
부산진구점 2
 
3.9%
편안한실버케어재가센터 1
 
2.0%
누리고재가복지센터 1
 
2.0%
푸른누리재가복지센터 1
 
2.0%
연지재가복지센터 1
 
2.0%
지팡이재가복지센터 1
 
2.0%
정성재가복지센터 1
 
2.0%
케어닥 1
 
2.0%
방문요양센터 1
 
2.0%
Other values (39) 39
76.5%
2023-12-13T01:59:33.033073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
7.2%
33
 
7.2%
25
 
5.5%
21
 
4.6%
20
 
4.4%
19
 
4.2%
19
 
4.2%
19
 
4.2%
10
 
2.2%
10
 
2.2%
Other values (107) 247
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
97.1%
Space Separator 6
 
1.3%
Decimal Number 4
 
0.9%
Other Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
7.4%
33
 
7.4%
25
 
5.6%
21
 
4.7%
20
 
4.5%
19
 
4.3%
19
 
4.3%
19
 
4.3%
10
 
2.3%
10
 
2.3%
Other values (101) 234
52.8%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
8 2
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
97.4%
Common 12
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
7.4%
33
 
7.4%
25
 
5.6%
21
 
4.7%
20
 
4.5%
19
 
4.3%
19
 
4.3%
19
 
4.3%
10
 
2.3%
10
 
2.3%
Other values (102) 235
52.9%
Common
ValueCountFrequency (%)
6
50.0%
9 2
 
16.7%
8 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
97.1%
ASCII 12
 
2.6%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
7.4%
33
 
7.4%
25
 
5.6%
21
 
4.7%
20
 
4.5%
19
 
4.3%
19
 
4.3%
19
 
4.3%
10
 
2.3%
10
 
2.3%
Other values (101) 234
52.8%
ASCII
ValueCountFrequency (%)
6
50.0%
9 2
 
16.7%
8 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%
None
ValueCountFrequency (%)
1
100.0%

종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
재가노인복지시설
35 
노인의료복지시설
노인여가복지시설
 
2

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 35
77.8%
노인의료복지시설 8
 
17.8%
노인여가복지시설 2
 
4.4%

Length

2023-12-13T01:59:33.181162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:59:33.293837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 35
77.8%
노인의료복지시설 8
 
17.8%
노인여가복지시설 2
 
4.4%

규모
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing43
Missing (%)95.6%
Memory size492.0 B
2023-12-13T01:59:33.427538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6
Min length4

Characters and Unicode

Total characters12
Distinct characters6
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

Unique2 ?
Unique (%)100.0%

Sample

1st row지하2층지상6층
2nd row지상2층
ValueCountFrequency (%)
지하2층지상6층 1
50.0%
지상2층 1
50.0%
2023-12-13T01:59:33.756320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
25.0%
3
25.0%
2 2
16.7%
2
16.7%
1
 
8.3%
6 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
75.0%
Decimal Number 3
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
33.3%
3
33.3%
2
22.2%
1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
6 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
75.0%
Common 3
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
2
22.2%
1
 
11.1%
Common
ValueCountFrequency (%)
2 2
66.7%
6 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
75.0%
ASCII 3
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
2
22.2%
1
 
11.1%
ASCII
ValueCountFrequency (%)
2 2
66.7%
6 1
33.3%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455.52067
Minimum17.6
Maximum3729.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T01:59:33.928598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.6
5-th percentile18.832
Q163.37
median216.5
Q3520.26
95-th percentile1720.7
Maximum3729.95
Range3712.35
Interquartile range (IQR)456.89

Descriptive statistics

Standard deviation667.38559
Coefficient of variation (CV)1.465105
Kurtosis12.943202
Mean455.52067
Median Absolute Deviation (MAD)185.49
Skewness3.2015073
Sum20498.43
Variance445403.53
MonotonicityNot monotonic
2023-12-13T01:59:34.088175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
477.9 1
 
2.2%
387.5 1
 
2.2%
19.92 1
 
2.2%
18.28 1
 
2.2%
26.28 1
 
2.2%
31.01 1
 
2.2%
199.38 1
 
2.2%
438.35 1
 
2.2%
18.69 1
 
2.2%
375.75 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
17.6 1
2.2%
18.28 1
2.2%
18.69 1
2.2%
19.4 1
2.2%
19.92 1
2.2%
26.28 1
2.2%
26.4 1
2.2%
31.01 1
2.2%
40.3 1
2.2%
40.4 1
2.2%
ValueCountFrequency (%)
3729.95 1
2.2%
1794.2 1
2.2%
1785.7 1
2.2%
1460.7 1
2.2%
1045.0 1
2.2%
996.66 1
2.2%
754.0 1
2.2%
734.26 1
2.2%
677.78 1
2.2%
646.54 1
2.2%
Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T01:59:34.450158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length30.466667
Min length23

Characters and Unicode

Total characters1371
Distinct characters102
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

Unique41 ?
Unique (%)91.1%

Sample

1st row부산광역시 부산진구 양정로 92 (양정동)
2nd row부산광역시 부산진구 월드컵대로467번길 5 (초읍동)
3rd row부산광역시 부산진구 가야대로507번길 6 (개금동)
4th row부산광역시 부산진구 월드컵대로435번길 116(초읍동)
5th row부산광역시 부산진구 백양순환로35번길 49-1 (당감동)
ValueCountFrequency (%)
부산광역시 45
 
17.7%
부산진구 45
 
17.7%
개금동 9
 
3.5%
당감동 7
 
2.8%
2층 7
 
2.8%
초읍동 6
 
2.4%
가야동 5
 
2.0%
부전동 4
 
1.6%
양정동 3
 
1.2%
3층 3
 
1.2%
Other values (104) 120
47.2%
2023-12-13T01:59:34.923329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
 
15.2%
97
 
7.1%
91
 
6.6%
50
 
3.6%
46
 
3.4%
( 45
 
3.3%
45
 
3.3%
45
 
3.3%
45
 
3.3%
45
 
3.3%
Other values (92) 653
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
59.5%
Decimal Number 214
 
15.6%
Space Separator 209
 
15.2%
Open Punctuation 45
 
3.3%
Close Punctuation 45
 
3.3%
Other Punctuation 32
 
2.3%
Dash Punctuation 10
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
 
11.9%
91
 
11.2%
50
 
6.1%
46
 
5.6%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
20
 
2.5%
Other values (77) 287
35.2%
Decimal Number
ValueCountFrequency (%)
1 44
20.6%
2 31
14.5%
3 26
12.1%
0 23
10.7%
5 20
9.3%
7 19
8.9%
4 16
 
7.5%
6 15
 
7.0%
8 10
 
4.7%
9 10
 
4.7%
Space Separator
ValueCountFrequency (%)
209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 816
59.5%
Common 555
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
 
11.9%
91
 
11.2%
50
 
6.1%
46
 
5.6%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
20
 
2.5%
Other values (77) 287
35.2%
Common
ValueCountFrequency (%)
209
37.7%
( 45
 
8.1%
) 45
 
8.1%
1 44
 
7.9%
, 32
 
5.8%
2 31
 
5.6%
3 26
 
4.7%
0 23
 
4.1%
5 20
 
3.6%
7 19
 
3.4%
Other values (5) 61
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 816
59.5%
ASCII 555
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
37.7%
( 45
 
8.1%
) 45
 
8.1%
1 44
 
7.9%
, 32
 
5.8%
2 31
 
5.6%
3 26
 
4.7%
0 23
 
4.1%
5 20
 
3.6%
7 19
 
3.4%
Other values (5) 61
 
11.0%
Hangul
ValueCountFrequency (%)
97
 
11.9%
91
 
11.2%
50
 
6.1%
46
 
5.6%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
45
 
5.5%
20
 
2.5%
Other values (77) 287
35.2%

1일 평균이용인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.755556
Minimum0
Maximum1501
Zeros13
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T01:59:35.087883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q343
95-th percentile98
Maximum1501
Range1501
Interquartile range (IQR)43

Descriptive statistics

Standard deviation222.20713
Coefficient of variation (CV)3.8473723
Kurtosis43.144986
Mean57.755556
Median Absolute Deviation (MAD)10
Skewness6.5080907
Sum2599
Variance49376.007
MonotonicityNot monotonic
2023-12-13T01:59:35.217222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 13
28.9%
5 3
 
6.7%
9 3
 
6.7%
10 2
 
4.4%
43 2
 
4.4%
20 2
 
4.4%
18 2
 
4.4%
52 1
 
2.2%
1 1
 
2.2%
22 1
 
2.2%
Other values (15) 15
33.3%
ValueCountFrequency (%)
0 13
28.9%
1 1
 
2.2%
3 1
 
2.2%
5 3
 
6.7%
9 3
 
6.7%
10 2
 
4.4%
14 1
 
2.2%
17 1
 
2.2%
18 2
 
4.4%
20 2
 
4.4%
ValueCountFrequency (%)
1501 1
2.2%
111 1
2.2%
100 1
2.2%
90 1
2.2%
86 1
2.2%
75 1
2.2%
73 1
2.2%
70 1
2.2%
52 1
2.2%
50 1
2.2%

위도
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.163109
Minimum35.142603
Maximum35.18224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T01:59:35.375453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.142603
5-th percentile35.147267
Q135.153644
median35.16305
Q335.171869
95-th percentile35.181391
Maximum35.18224
Range0.03963678
Interquartile range (IQR)0.0182254

Descriptive statistics

Standard deviation0.010952472
Coefficient of variation (CV)0.0003114762
Kurtosis-0.90130528
Mean35.163109
Median Absolute Deviation (MAD)0.0092621
Skewness0.18690596
Sum1582.3399
Variance0.00011995663
MonotonicityNot monotonic
2023-12-13T01:59:35.525966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.147267 2
 
4.4%
35.1713461 1
 
2.2%
35.1534352 1
 
2.2%
35.1748 1
 
2.2%
35.17528 1
 
2.2%
35.15588 1
 
2.2%
35.16342 1
 
2.2%
35.16305 1
 
2.2%
35.1516824 1
 
2.2%
35.1815517 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
35.14260322 1
2.2%
35.1450577 1
2.2%
35.147267 2
4.4%
35.15057 1
2.2%
35.1516824 1
2.2%
35.1517697 1
2.2%
35.152818 1
2.2%
35.15288 1
2.2%
35.1534352 1
2.2%
35.1535137 1
2.2%
ValueCountFrequency (%)
35.18224 1
2.2%
35.1821124 1
2.2%
35.1815517 1
2.2%
35.1807485 1
2.2%
35.1804764 1
2.2%
35.178448 1
2.2%
35.1780483 1
2.2%
35.17528 1
2.2%
35.1748 1
2.2%
35.17411 1
2.2%

경도
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04289
Minimum129.0175
Maximum129.07994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T01:59:35.720155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0175
5-th percentile129.02328
Q1129.02781
median129.04106
Q3129.05537
95-th percentile129.06951
Maximum129.07994
Range0.0624353
Interquartile range (IQR)0.0275555

Descriptive statistics

Standard deviation0.01654519
Coefficient of variation (CV)0.00012821466
Kurtosis-0.78126461
Mean129.04289
Median Absolute Deviation (MAD)0.0134773
Skewness0.39384432
Sum5806.9302
Variance0.00027374332
MonotonicityNot monotonic
2023-12-13T01:59:35.898825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
129.045191 2
 
4.4%
129.0799375 1
 
2.2%
129.0175022 1
 
2.2%
129.05548 1
 
2.2%
129.07675 1
 
2.2%
129.02345 1
 
2.2%
129.06322 1
 
2.2%
129.06202 1
 
2.2%
129.0280644 1
 
2.2%
129.0468601 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
129.0175022 1
2.2%
129.019538 1
2.2%
129.02324 1
2.2%
129.02345 1
2.2%
129.0235092 1
2.2%
129.023787 1
2.2%
129.0238008 1
2.2%
129.0241709 1
2.2%
129.024413 1
2.2%
129.027011 1
2.2%
ValueCountFrequency (%)
129.0799375 1
2.2%
129.07675 1
2.2%
129.07 1
2.2%
129.0675507 1
2.2%
129.0658195 1
2.2%
129.06439 1
2.2%
129.06322 1
2.2%
129.06202 1
2.2%
129.0563179 1
2.2%
129.05616 1
2.2%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-03-09 00:00:00
Maximum2023-03-09 00:00:00
2023-12-13T01:59:36.040239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:36.178086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:59:31.681461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/