Overview

Dataset statistics

Number of variables10
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory86.0 B

Variable types

Numeric5
Categorical3
Text2

Dataset

Description광주광역시 광산구 내 노인복지관 등 노인복지시설 현황에 대한 데이터로 시설명, 소재지, 종사자, 이용자 수 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15055944/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
이용자수 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
운영주체 is highly overall correlated with 이용자수 and 1 other fieldsHigh correlation
구분 is highly imbalanced (51.2%)Imbalance
운영주체 is highly imbalanced (60.3%)Imbalance
연번 has unique valuesUnique
이용자수 has 29 (22.8%) zerosZeros

Reproduction

Analysis started2023-12-12 12:38:53.565556
Analysis finished2023-12-12 12:38:56.789982
Duration3.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:38:56.870599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2023-12-12T21:38:57.076664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
재가노인복지시설
93 
노인의료복지시설
31 
노인여가복지시설
 
2
노인주거복지시설
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 93
73.2%
노인의료복지시설 31
 
24.4%
노인여가복지시설 2
 
1.6%
노인주거복지시설 1
 
0.8%

Length

2023-12-12T21:38:57.233506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:38:57.366596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 93
73.2%
노인의료복지시설 31
 
24.4%
노인여가복지시설 2
 
1.6%
노인주거복지시설 1
 
0.8%

시설명
Text

Distinct126
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:38:57.607200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.3228346
Min length5

Characters and Unicode

Total characters1184
Distinct characters185
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)98.4%

Sample

1st row더불어락노인복지관
2nd row행복나루노인복지관
3rd row광주보훈요양원
4th row늘기쁨요양원
5th row명은노인전문요양원
ValueCountFrequency (%)
재가복지센터 3
 
2.1%
원광효도복지센터 2
 
1.4%
복지용구 1
 
0.7%
참사랑노인복지센터 1
 
0.7%
참사랑주야간보호센터 1
 
0.7%
천사재활노인복지센터 1
 
0.7%
첨단 1
 
0.7%
의료기 1
 
0.7%
첨단재가노인복지센터 1
 
0.7%
착한노인복지센터 1
 
0.7%
Other values (130) 130
90.9%
2023-12-12T21:38:58.013517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 89
 
7.5%
터 89
 
7.5%
복 69
 
5.8%
지 62
 
5.2%
인 55
 
4.6%
노 53
 
4.5%
가 42
 
3.5%
재 40
 
3.4%
양 31
 
2.6%
요 31
 
2.6%
Other values (175) 623
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1164
98.3%
Space Separator 16
 
1.4%
Uppercase Letter 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 89
 
7.6%
터 89
 
7.6%
복 69
 
5.9%
지 62
 
5.3%
인 55
 
4.7%
노 53
 
4.6%
가 42
 
3.6%
재 40
 
3.4%
양 31
 
2.7%
요 31
 
2.7%
Other values (170) 603
51.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
98.3%
Common 17
 
1.4%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 89
 
7.6%
터 89
 
7.6%
복 69
 
5.9%
지 62
 
5.3%
인 55
 
4.7%
노 53
 
4.6%
가 42
 
3.6%
재 40
 
3.4%
양 31
 
2.7%
요 31
 
2.7%
Other values (170) 603
51.8%
Latin
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
A 1
33.3%
Common
ValueCountFrequency (%)
16
94.1%
- 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1164
98.3%
ASCII 20
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 89
 
7.6%
터 89
 
7.6%
복 69
 
5.9%
지 62
 
5.3%
인 55
 
4.7%
노 53
 
4.6%
가 42
 
3.6%
재 40
 
3.4%
양 31
 
2.7%
요 31
 
2.7%
Other values (170) 603
51.8%
ASCII
ValueCountFrequency (%)
16
80.0%
- 1
 
5.0%
E 1
 
5.0%
C 1
 
5.0%
A 1
 
5.0%

주소
Text

Distinct117
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:38:58.363394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length29.637795
Min length21

Characters and Unicode

Total characters3764
Distinct characters137
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

Unique109 ?
Unique (%)85.8%

Sample

1st row광주광역시 광산구 목련로156 (운남동)
2nd row광주광역시 광산구 송정로52번길 20 (도산동)
3rd row광주광역시 광산구 첨단월봉로 85 (산월동)
4th row광주광역시 광산구 무진대로232번길 13-12 (우산동)
5th row광주광역시 광산구 삼본로 14-13 (덕림동)
ValueCountFrequency (%)
광주광역시 127
 
17.4%
광산구 127
 
17.4%
월계동 14
 
1.9%
소촌동 13
 
1.8%
우산동 13
 
1.8%
1층 13
 
1.8%
2층 12
 
1.6%
신창동 10
 
1.4%
월곡동 10
 
1.4%
비아동 8
 
1.1%
Other values (264) 382
52.4%
2023-12-12T21:38:58.831303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
 
16.0%
광 385
 
10.2%
산 167
 
4.4%
동 138
 
3.7%
1 130
 
3.5%
구 128
 
3.4%
주 128
 
3.4%
역 127
 
3.4%
시 127
 
3.4%
( 126
 
3.3%
Other values (127) 1706
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2185
58.0%
Decimal Number 611
 
16.2%
Space Separator 602
 
16.0%
Open Punctuation 126
 
3.3%
Close Punctuation 126
 
3.3%
Other Punctuation 76
 
2.0%
Dash Punctuation 38
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 385
17.6%
산 167
 
7.6%
동 138
 
6.3%
구 128
 
5.9%
주 128
 
5.9%
역 127
 
5.8%
시 127
 
5.8%
로 113
 
5.2%
길 81
 
3.7%
번 67
 
3.1%
Other values (111) 724
33.1%
Decimal Number
ValueCountFrequency (%)
1 130
21.3%
2 107
17.5%
3 69
11.3%
0 60
9.8%
4 58
9.5%
5 45
 
7.4%
7 43
 
7.0%
6 38
 
6.2%
8 37
 
6.1%
9 24
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 75
98.7%
& 1
 
1.3%
Space Separator
ValueCountFrequency (%)
602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2185
58.0%
Common 1579
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 385
17.6%
산 167
 
7.6%
동 138
 
6.3%
구 128
 
5.9%
주 128
 
5.9%
역 127
 
5.8%
시 127
 
5.8%
로 113
 
5.2%
길 81
 
3.7%
번 67
 
3.1%
Other values (111) 724
33.1%
Common
ValueCountFrequency (%)
602
38.1%
1 130
 
8.2%
( 126
 
8.0%
) 126
 
8.0%
2 107
 
6.8%
, 75
 
4.7%
3 69
 
4.4%
0 60
 
3.8%
4 58
 
3.7%
5 45
 
2.8%
Other values (6) 181
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2185
58.0%
ASCII 1579
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
38.1%
1 130
 
8.2%
( 126
 
8.0%
) 126
 
8.0%
2 107
 
6.8%
, 75
 
4.7%
3 69
 
4.4%
0 60
 
3.8%
4 58
 
3.7%
5 45
 
2.8%
Other values (6) 181
 
11.5%
Hangul
ValueCountFrequency (%)
광 385
17.6%
산 167
 
7.6%
동 138
 
6.3%
구 128
 
5.9%
주 128
 
5.9%
역 127
 
5.8%
시 127
 
5.8%
로 113
 
5.2%
길 81
 
3.7%
번 67
 
3.1%
Other values (111) 724
33.1%

운영주체
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
개인
98 
법인
26 
직영
 
1
시설관리공단
 
1
재단법인
 
1

Length

Max length6
Median length2
Mean length2.0472441
Min length2

Unique

Unique3 ?
Unique (%)2.4%

Sample

1st row직영
2nd row시설관리공단
3rd row법인
4th row개인
5th row법인

Common Values

ValueCountFrequency (%)
개인 98
77.2%
법인 26
 
20.5%
직영 1
 
0.8%
시설관리공단 1
 
0.8%
재단법인 1
 
0.8%

Length

2023-12-12T21:38:58.987461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:38:59.111191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 98
77.2%
법인 26
 
20.5%
직영 1
 
0.8%
시설관리공단 1
 
0.8%
재단법인 1
 
0.8%

종사자
Real number (ℝ)

Distinct58
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.425197
Minimum1
Maximum448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:38:59.255480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q113.5
median22
Q339
95-th percentile95.7
Maximum448
Range447
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation46.781071
Coefficient of variation (CV)1.3589195
Kurtosis49.010717
Mean34.425197
Median Absolute Deviation (MAD)11
Skewness6.0228188
Sum4372
Variance2188.4686
MonotonicityNot monotonic
2023-12-12T21:38:59.391613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
6.3%
13 7
 
5.5%
22 6
 
4.7%
32 6
 
4.7%
7 5
 
3.9%
1 4
 
3.1%
23 4
 
3.1%
28 4
 
3.1%
5 4
 
3.1%
16 3
 
2.4%
Other values (48) 76
59.8%
ValueCountFrequency (%)
1 4
3.1%
3 1
 
0.8%
4 2
 
1.6%
5 4
3.1%
6 1
 
0.8%
7 5
3.9%
8 1
 
0.8%
9 1
 
0.8%
10 3
2.4%
11 2
 
1.6%
ValueCountFrequency (%)
448 1
0.8%
172 1
0.8%
147 1
0.8%
119 1
0.8%
116 1
0.8%
108 1
0.8%
96 1
0.8%
95 1
0.8%
87 1
0.8%
80 1
0.8%

이용자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.527559
Minimum0
Maximum750
Zeros29
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:38:59.527063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q329
95-th percentile69.7
Maximum750
Range750
Interquartile range (IQR)25

Descriptive statistics

Standard deviation89.04358
Coefficient of variation (CV)2.7374812
Kurtosis51.370181
Mean32.527559
Median Absolute Deviation (MAD)12
Skewness6.9571062
Sum4131
Variance7928.7592
MonotonicityNot monotonic
2023-12-12T21:38:59.997513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 29
22.8%
29 6
 
4.7%
9 5
 
3.9%
27 5
 
3.9%
10 4
 
3.1%
18 4
 
3.1%
8 4
 
3.1%
15 4
 
3.1%
23 4
 
3.1%
30 3
 
2.4%
Other values (37) 59
46.5%
ValueCountFrequency (%)
0 29
22.8%
1 2
 
1.6%
4 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
8 4
 
3.1%
9 5
 
3.9%
10 4
 
3.1%
11 2
 
1.6%
12 3
 
2.4%
ValueCountFrequency (%)
750 1
0.8%
650 1
0.8%
191 1
0.8%
137 1
0.8%
105 1
0.8%
85 1
0.8%
70 1
0.8%
69 1
0.8%
61 1
0.8%
60 2
1.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.178334
Minimum35.126598
Maximum35.225942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:39:00.180826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.126598
5-th percentile35.139765
Q135.154126
median35.176906
Q335.204038
95-th percentile35.221387
Maximum35.225942
Range0.099343885
Interquartile range (IQR)0.04991204

Descriptive statistics

Standard deviation0.027781784
Coefficient of variation (CV)0.00078974133
Kurtosis-1.2128978
Mean35.178334
Median Absolute Deviation (MAD)0.02373306
Skewness0.18957731
Sum4467.6484
Variance0.00077182754
MonotonicityNot monotonic
2023-12-12T21:39:00.364114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1523197168836 4
 
3.1%
35.1769329353025 2
 
1.6%
35.1905403958528 2
 
1.6%
35.1562883930208 2
 
1.6%
35.1998206343067 2
 
1.6%
35.2175372188866 2
 
1.6%
35.1971943710695 2
 
1.6%
35.1484019356731 2
 
1.6%
35.1632207026204 2
 
1.6%
35.2090078153704 2
 
1.6%
Other values (105) 105
82.7%
ValueCountFrequency (%)
35.1265977909146 1
0.8%
35.1285467016857 1
0.8%
35.1348587162625 1
0.8%
35.1361459680648 1
0.8%
35.1361569643682 1
0.8%
35.1380182003822 1
0.8%
35.1393001654382 1
0.8%
35.1408509560632 1
0.8%
35.1411688562311 1
0.8%
35.1414552535242 1
0.8%
ValueCountFrequency (%)
35.2259416754721 1
0.8%
35.2245621320144 1
0.8%
35.2243232160244 1
0.8%
35.2231373269312 1
0.8%
35.2224314498315 1
0.8%
35.2218850073799 1
0.8%
35.2214059398482 1
0.8%
35.2213436969713 1
0.8%
35.2212703729256 1
0.8%
35.2212447434754 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.80372
Minimum126.66608
Maximum126.85247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T21:39:00.548134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66608
5-th percentile126.68175
Q1126.79922
median126.81016
Q3126.83083
95-th percentile126.84511
Maximum126.85247
Range0.18638731
Interquartile range (IQR)0.031608308

Descriptive statistics

Standard deviation0.042364045
Coefficient of variation (CV)0.00033409151
Kurtosis3.7909583
Mean126.80372
Median Absolute Deviation (MAD)0.014572943
Skewness-1.9890229
Sum16104.072
Variance0.0017947123
MonotonicityNot monotonic
2023-12-12T21:39:00.758122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.806295167839 4
 
3.1%
126.824475624402 2
 
1.6%
126.81661479101 2
 
1.6%
126.814940922013 2
 
1.6%
126.681754359419 2
 
1.6%
126.752047671468 2
 
1.6%
126.840768388444 2
 
1.6%
126.795582159291 2
 
1.6%
126.668838835891 2
 
1.6%
126.837552112848 2
 
1.6%
Other values (105) 105
82.7%
ValueCountFrequency (%)
126.666080082152 1
0.8%
126.668838835891 2
1.6%
126.670235297612 1
0.8%
126.672151283126 1
0.8%
126.672894646684 1
0.8%
126.681754359419 2
1.6%
126.702758974531 1
0.8%
126.715143448014 1
0.8%
126.739955212821 1
0.8%
126.743157733964 1
0.8%
ValueCountFrequency (%)
126.852467391734 1
0.8%
126.851816925688 1
0.8%
126.848664751765 1
0.8%
126.847835506688 1
0.8%
126.847033772817 1
0.8%
126.846529079331 1
0.8%
126.845272906179 1
0.8%
126.844734822782 1
0.8%
126.84318494165 1
0.8%
126.843172311426 1
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-12-31
127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 127
100.0%

Length

2023-12-12T21:39:00.917122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:39:01.018725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 127
100.0%

Interactions

2023-12-12T21:38:56.068374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.040163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.594507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.098897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.603081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:56.160301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.145286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.677712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.196992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.689671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:56.258909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.245639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.764867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.282485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.770837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:56.358414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.363989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.876449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.404280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.865480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:56.467153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.479792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:54.988897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.501357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:38:55.957372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:39:01.085358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분운영주체종사자이용자수위도경도
연번1.0000.7430.4100.1510.0000.1270.410
구분0.7431.0000.8590.0000.6370.1780.179
운영주체0.4100.8591.0000.0000.9560.4730.475
종사자0.1510.0000.0001.0000.8210.0000.000
이용자수0.0000.6370.9560.8211.0000.3870.000
위도0.1270.1780.4730.0000.3871.0000.794
경도0.4100.1790.4750.0000.0000.7941.000
2023-12-12T21:39:01.205876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영주체구분
운영주체1.0000.838
구분0.8381.000
2023-12-12T21:39:01.317307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자이용자수위도경도구분운영주체
연번1.0000.177-0.4500.0380.1180.5370.177
종사자0.1771.0000.2610.0270.0810.0000.000
이용자수-0.4500.2611.0000.084-0.0100.5640.702
위도0.0380.0270.0841.0000.6160.1020.210
경도0.1180.081-0.0100.6161.0000.1030.211
구분0.5370.0000.5640.1020.1031.0000.838
운영주체0.1770.0000.7020.2100.2110.8381.000

Missing values

2023-12-12T21:38:56.592607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:38:56.728093image/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

연번구분시설명주소운영주체종사자이용자수위도경도데이터기준일자
01노인여가복지시설더불어락노인복지관광주광역시 광산구 목련로156 (운남동)직영1975035.171441126.815942022-12-31
12노인여가복지시설행복나루노인복지관광주광역시 광산구 송정로52번길 20 (도산동)시설관리공단1365035.134859126.795152022-12-31
23노인의료복지시설광주보훈요양원광주광역시 광산구 첨단월봉로 85 (산월동)법인14719135.2073126.8478362022-12-31
34노인의료복지시설늘기쁨요양원광주광역시 광산구 무진대로232번길 13-12 (우산동)개인325235.160624126.8064582022-12-31
45노인의료복지시설명은노인전문요양원광주광역시 광산구 삼본로 14-13 (덕림동)법인356035.193754126.6702352022-12-31
56노인의료복지시설바라밀실버하우스광주광역시 광산구 구촌반촌길 108-1 (신창동)법인8010535.186932126.8447352022-12-31
67노인의료복지시설백세로요양원광주광역시 광산구 장신로309번길 7 (신창동)개인7135.192668126.8431722022-12-31
78노인의료복지시설빛고을노인간호센터광주광역시 광산구 송정공원로 42 (소촌동)법인141935.147274126.798142022-12-31
89노인의료복지시설사랑나눔요양원광주광역시 광산구 소촌로149번길 20-41 (소촌동)개인233035.158187126.7888282022-12-31
910노인의료복지시설사랑노인요양공동생활가정광주광역시 광산구 월곡중앙로54번길 21-15, 2층 (월곡동)법인7935.171731126.8124292022-12-31
연번구분시설명주소운영주체종사자이용자수위도경도데이터기준일자
117118재가노인복지시설조은의료기광주광역시 광산구 금봉로74번길 8, 1층 (소촌동, 해뜨는집)개인1035.151443126.8064552022-12-31
118119재가노인복지시설봄빛재가노인복지센터광주광역시 광산구 소촌로42번길 32 (소촌동)개인502835.148402126.7955822022-12-31
119120재가노인복지시설나비재가노인복지센터광주광역시 광산구 사암로92번길 68, 2층 (우산동)개인16035.152363126.8110472022-12-31
120121재가노인복지시설솔나무 노인복지센터광주광역시 광산구 월곡중앙로2번길 5, 1층 (월곡동)개인46035.166486126.8110372022-12-31
121122재가노인복지시설섬김재가복지센터광주광역시 광산구 무진대로211번길 16, 309호 (우산동, 원형빌딩)개인28035.163093126.8040722022-12-31
122123재가노인복지시설우주재가노인복지센터광주광역시 광산구 비아로62번길 12, 상가동 207호 (도천동, 중흥아파트)개인26035.219875126.8194152022-12-31
123124재가노인복지시설호남제일 재가복지센터광주광역시 광산구 월곡반월로 18, 1층 (월곡동)개인70035.16715126.8127462022-12-31
124125재가노인복지시설채움방문요양복지센터광주광역시 광산구 송정외로 14 (도산동)개인32035.126598126.7927452022-12-31
125126재가노인복지시설다올재가복지센터광주광역시 광산구 상무대로 309, 2층 (신촌동)개인27035.143846126.7995872022-12-31
126127재가노인복지시설가호재가노인복지센터광주광역시 광산구 월계로 109, 상가동 2층 202호 (월계동, 첨단라인2차아파트)개인19035.214127126.8378932022-12-31