Overview

Dataset statistics

Number of variables8
Number of observations250
Missing cells29
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory65.5 B

Variable types

Categorical2
Text3
DateTime2
Numeric1

Dataset

Description경기도 의정부시 내에 있는 노인복지시설 현황으로 시군명, 경로당명, 소재지지번주소, 전화번호, 인허가일자, 운영상태, 입소정원, 기준일자의 정보를 제공합니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15016448/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영상태 is highly imbalanced (93.3%)Imbalance
전화번호 has 29 (11.6%) missing valuesMissing
경로당명 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:47:56.115492
Analysis finished2023-12-12 15:47:56.825029
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의정부시
250 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 250
100.0%

Length

2023-12-13T00:47:56.897921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:47:57.009840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 250
100.0%

경로당명
Text

UNIQUE 

Distinct250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T00:47:57.212770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.524
Min length5

Characters and Unicode

Total characters2631
Distinct characters225
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)100.0%

Sample

1st row의정부1동경로당
2nd row제일시장경로당
3rd row금용아파트경로당
4th row낙천경로당
5th row중앙경로당
ValueCountFrequency (%)
경로당 8
 
3.0%
녹양휴먼시아 4
 
1.5%
의정부1동경로당 1
 
0.4%
송산주공6단지아파트경로당 1
 
0.4%
송산주공3단지아파트경로당 1
 
0.4%
한라비발디아파트경로당 1
 
0.4%
송산주공4단지아파트경로당 1
 
0.4%
송산주공7단지아파트경로당 1
 
0.4%
송산팰리스아파트경로당 1
 
0.4%
민락서광청구아파트경로당 1
 
0.4%
Other values (247) 247
92.5%
2023-12-13T00:47:57.699313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 251
 
9.5%
당 250
 
9.5%
경 250
 
9.5%
아 180
 
6.8%
트 171
 
6.5%
파 170
 
6.5%
지 51
 
1.9%
신 47
 
1.8%
단 42
 
1.6%
원 42
 
1.6%
Other values (215) 1177
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2478
94.2%
Decimal Number 108
 
4.1%
Space Separator 21
 
0.8%
Uppercase Letter 10
 
0.4%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 251
 
10.1%
당 250
 
10.1%
경 250
 
10.1%
아 180
 
7.3%
트 171
 
6.9%
파 170
 
6.9%
지 51
 
2.1%
신 47
 
1.9%
단 42
 
1.7%
원 42
 
1.7%
Other values (194) 1024
41.3%
Decimal Number
ValueCountFrequency (%)
1 39
36.1%
2 25
23.1%
3 16
14.8%
4 8
 
7.4%
5 6
 
5.6%
7 4
 
3.7%
9 3
 
2.8%
0 3
 
2.8%
6 3
 
2.8%
8 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
L 4
40.0%
H 4
40.0%
K 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2478
94.2%
Common 142
 
5.4%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 251
 
10.1%
당 250
 
10.1%
경 250
 
10.1%
아 180
 
7.3%
트 171
 
6.9%
파 170
 
6.9%
지 51
 
2.1%
신 47
 
1.9%
단 42
 
1.7%
원 42
 
1.7%
Other values (194) 1024
41.3%
Common
ValueCountFrequency (%)
1 39
27.5%
2 25
17.6%
21
14.8%
3 16
11.3%
4 8
 
5.6%
5 6
 
4.2%
) 5
 
3.5%
( 5
 
3.5%
7 4
 
2.8%
9 3
 
2.1%
Other values (6) 10
 
7.0%
Latin
ValueCountFrequency (%)
L 4
36.4%
H 4
36.4%
K 1
 
9.1%
S 1
 
9.1%
e 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2478
94.2%
ASCII 152
 
5.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 251
 
10.1%
당 250
 
10.1%
경 250
 
10.1%
아 180
 
7.3%
트 171
 
6.9%
파 170
 
6.9%
지 51
 
2.1%
신 47
 
1.9%
단 42
 
1.7%
원 42
 
1.7%
Other values (194) 1024
41.3%
ASCII
ValueCountFrequency (%)
1 39
25.7%
2 25
16.4%
21
13.8%
3 16
10.5%
4 8
 
5.3%
5 6
 
3.9%
) 5
 
3.3%
( 5
 
3.3%
L 4
 
2.6%
7 4
 
2.6%
Other values (10) 19
12.5%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

UNIQUE 

Distinct250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T00:47:58.020379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length29.3
Min length16

Characters and Unicode

Total characters7325
Distinct characters217
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

Unique250 ?
Unique (%)100.0%

Sample

1st row 의정부시 태평로74번길 23-11, 2층 (의정부동)
2nd row 의정부시 태평로73번길 20, 2층 (의정부동)
3rd row 의정부시 태평로184번길 21-4, 1층(가능동, 금용아파트)
4th row 의정부시 태평로204번길 5-7, 1층(가능동)
5th row 의정부시 호국로 1303, 201호(의정부동)
ValueCountFrequency (%)
의정부시 250
 
20.1%
1층 65
 
5.2%
호원동 44
 
3.5%
신곡동 40
 
3.2%
민락동 19
 
1.5%
2층 18
 
1.4%
금오동 18
 
1.4%
녹양동 17
 
1.4%
가능동 16
 
1.3%
용현동 15
 
1.2%
Other values (512) 742
59.6%
2023-12-13T00:47:58.449153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1216
 
16.6%
1 289
 
3.9%
동 286
 
3.9%
부 276
 
3.8%
, 276
 
3.8%
시 271
 
3.7%
의 271
 
3.7%
정 269
 
3.7%
) 250
 
3.4%
로 249
 
3.4%
Other values (207) 3672
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4150
56.7%
Space Separator 1216
 
16.6%
Decimal Number 1136
 
15.5%
Other Punctuation 276
 
3.8%
Close Punctuation 250
 
3.4%
Open Punctuation 249
 
3.4%
Dash Punctuation 41
 
0.6%
Uppercase Letter 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 286
 
6.9%
부 276
 
6.7%
시 271
 
6.5%
의 271
 
6.5%
정 269
 
6.5%
로 249
 
6.0%
아 178
 
4.3%
파 169
 
4.1%
트 167
 
4.0%
길 119
 
2.9%
Other values (187) 1895
45.7%
Decimal Number
ValueCountFrequency (%)
1 289
25.4%
2 195
17.2%
3 132
11.6%
4 91
 
8.0%
6 85
 
7.5%
5 83
 
7.3%
7 81
 
7.1%
0 73
 
6.4%
9 55
 
4.8%
8 52
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
H 2
33.3%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
1216
100.0%
Other Punctuation
ValueCountFrequency (%)
, 276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4150
56.7%
Common 3168
43.2%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 286
 
6.9%
부 276
 
6.7%
시 271
 
6.5%
의 271
 
6.5%
정 269
 
6.5%
로 249
 
6.0%
아 178
 
4.3%
파 169
 
4.1%
트 167
 
4.0%
길 119
 
2.9%
Other values (187) 1895
45.7%
Common
ValueCountFrequency (%)
1216
38.4%
1 289
 
9.1%
, 276
 
8.7%
) 250
 
7.9%
( 249
 
7.9%
2 195
 
6.2%
3 132
 
4.2%
4 91
 
2.9%
6 85
 
2.7%
5 83
 
2.6%
Other values (5) 302
 
9.5%
Latin
ValueCountFrequency (%)
L 2
28.6%
H 2
28.6%
K 1
14.3%
S 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4150
56.7%
ASCII 3175
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1216
38.3%
1 289
 
9.1%
, 276
 
8.7%
) 250
 
7.9%
( 249
 
7.8%
2 195
 
6.1%
3 132
 
4.2%
4 91
 
2.9%
6 85
 
2.7%
5 83
 
2.6%
Other values (10) 309
 
9.7%
Hangul
ValueCountFrequency (%)
동 286
 
6.9%
부 276
 
6.7%
시 271
 
6.5%
의 271
 
6.5%
정 269
 
6.5%
로 249
 
6.0%
아 178
 
4.3%
파 169
 
4.1%
트 167
 
4.0%
길 119
 
2.9%
Other values (187) 1895
45.7%

전화번호
Text

MISSING 

Distinct220
Distinct (%)99.5%
Missing29
Missing (%)11.6%
Memory size2.1 KiB
2023-12-13T00:47:58.744031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.054299
Min length12

Characters and Unicode

Total characters2664
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

Unique219 ?
Unique (%)99.1%

Sample

1st row031-846-9414
2nd row031-844-7895
3rd row031-841-4407
4th row031-848-0806
5th row031-847-9674
ValueCountFrequency (%)
031-875-6458 2
 
0.9%
031-824-7506 1
 
0.5%
031-852-6667 1
 
0.5%
031-846-9414 1
 
0.5%
031-851-6440 1
 
0.5%
031-852-0042 1
 
0.5%
031-852-2581 1
 
0.5%
031-852-3339 1
 
0.5%
031-851-3304 1
 
0.5%
031-851-8840 1
 
0.5%
Other values (210) 210
95.0%
2023-12-13T00:47:59.156144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 445
16.7%
3 365
13.7%
1 333
12.5%
0 331
12.4%
8 328
12.3%
7 183
6.9%
2 172
 
6.5%
4 148
 
5.6%
5 137
 
5.1%
6 117
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2219
83.3%
Dash Punctuation 445
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 365
16.4%
1 333
15.0%
0 331
14.9%
8 328
14.8%
7 183
8.2%
2 172
7.8%
4 148
6.7%
5 137
 
6.2%
6 117
 
5.3%
9 105
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 445
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 445
16.7%
3 365
13.7%
1 333
12.5%
0 331
12.4%
8 328
12.3%
7 183
6.9%
2 172
 
6.5%
4 148
 
5.6%
5 137
 
5.1%
6 117
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 445
16.7%
3 365
13.7%
1 333
12.5%
0 331
12.4%
8 328
12.3%
7 183
6.9%
2 172
 
6.5%
4 148
 
5.6%
5 137
 
5.1%
6 117
 
4.4%

인허가일자
Date

Distinct215
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1971-02-03 00:00:00
Maximum2022-12-08 00:00:00
2023-12-13T00:47:59.304512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:47:59.457660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
운영
248 
휴관
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 248
99.2%
휴관 2
 
0.8%

Length

2023-12-13T00:47:59.614101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:47:59.713483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 248
99.2%
휴관 2
 
0.8%

입소정원
Real number (ℝ)

Distinct51
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.952
Minimum12
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T00:47:59.824432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile20
Q122
median27
Q337
95-th percentile57
Maximum113
Range101
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.280526
Coefficient of variation (CV)0.44693685
Kurtosis7.2853159
Mean31.952
Median Absolute Deviation (MAD)6
Skewness2.1252579
Sum7988
Variance203.93343
MonotonicityNot monotonic
2023-12-13T00:47:59.973139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 22
 
8.8%
21 17
 
6.8%
20 17
 
6.8%
25 16
 
6.4%
26 14
 
5.6%
24 13
 
5.2%
23 11
 
4.4%
29 10
 
4.0%
27 10
 
4.0%
30 9
 
3.6%
Other values (41) 111
44.4%
ValueCountFrequency (%)
12 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
16 5
 
2.0%
18 4
 
1.6%
20 17
6.8%
21 17
6.8%
22 22
8.8%
23 11
4.4%
24 13
5.2%
ValueCountFrequency (%)
113 1
 
0.4%
112 1
 
0.4%
78 1
 
0.4%
67 2
0.8%
63 1
 
0.4%
62 2
0.8%
61 1
 
0.4%
59 1
 
0.4%
58 2
0.8%
57 3
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T00:48:00.090818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:48:00.236628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:47:56.480093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:48:00.332208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영상태입소정원
운영상태1.0000.000
입소정원0.0001.000
2023-12-13T00:48:00.452730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원운영상태
입소정원1.0000.000
운영상태0.0001.000

Missing values

2023-12-13T00:47:56.617283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:47:56.767718image/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

시군명경로당명소재지지번주소전화번호인허가일자운영상태입소정원데이터기준일자
0의정부시의정부1동경로당의정부시 태평로74번길 23-11, 2층 (의정부동)031-846-94141985-01-26운영222023-01-01
1의정부시제일시장경로당의정부시 태평로73번길 20, 2층 (의정부동)031-844-78951996-11-03운영562023-01-01
2의정부시금용아파트경로당의정부시 태평로184번길 21-4, 1층(가능동, 금용아파트)031-841-44071997-02-06운영262023-01-01
3의정부시낙천경로당의정부시 태평로204번길 5-7, 1층(가능동)031-848-08061987-01-01운영572023-01-01
4의정부시중앙경로당의정부시 호국로 1303, 201호(의정부동)031-847-96741999-01-01운영582023-01-01
5의정부시의정부한라비발디루트아파트경로당의정부시 호국로 1303, 104동 1층 (의정부동, 한라비발디아파트)031-848-63662012-11-19운영232023-01-01
6의정부시가재울 일신건영휴먼빌아파트경로당의정부시 평화로658번길 50, 101동 1층 (가능동, 가재울일신건영휴먼빌아파트)031-821-43572008-07-11운영202023-01-01
7의정부시의정부3동경로당의정부시 경의로157번길 22, 2층(의정부동)031-877-05332007-10-09운영252023-01-01
8의정부시신흥경로당의정부시 신흥로168번길 24 (의정부동)031-872-64121992-12-17휴관242023-01-01
9의정부시한울경로당의정부시 태평로45번길 19, 2층(의정부동)031-875-79222007-07-02운영202023-01-01
시군명경로당명소재지지번주소전화번호인허가일자운영상태입소정원데이터기준일자
240의정부시장수경로당의정부시 녹양로62번길 19-24 (녹양동)031-829-33362005-11-29운영162023-01-01
241의정부시녹양현대힐스테이트아파트경로당의정부시 녹양로62번길 12, 1층 (녹양동, 힐스테이트)031-838-04372007-05-25운영262023-01-01
242의정부시영무예다음아파트경로당의정부시 녹양로 57 (녹양동, 영무예다음)031-855-15012007-12-11운영222023-01-01
243의정부시버들개경로당의정부시 버들로15번길 17 (녹양동)031-877-10092008-01-30운영512023-01-01
244의정부시녹양휴먼시아 1단지경로당의정부시 체육로 278, 102동 1층 1호 (녹양동, 휴먼시아아파트)031-838-93932008-10-28운영212023-01-01
245의정부시녹양휴먼시아 2단지경로당의정부시 체육로 298-12, 203동 1호 (녹양동, 휴먼시아아파트)031-838-66072008-10-28운영222023-01-01
246의정부시녹양휴먼시아 3단지경로당의정부시 본원로 39, 1층 (녹양동, 휴먼시아아파트)031-836-70552009-03-06운영212023-01-01
247의정부시녹양휴먼시아 4단지경로당의정부시 본원로 40, 406동 1층 (녹양동, 휴먼시아아파트)031-876-80082008-12-18운영232023-01-01
248의정부시호명산빌리지경로당의정부시 입석로 70번길 26, 115동 2층 (녹양동, 호명산빌리지)031-876-77282011-11-07운영272023-01-01
249의정부시녹양LH5단지경로당의정부시 본원로46번길 16(녹양동)031-876-65412019-07-24운영262023-01-01