Overview

Dataset statistics

Number of variables22
Number of observations54
Missing cells66
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory184.4 B

Variable types

Text12
Categorical2
Numeric5
DateTime3

Alerts

치매센터유형 has constant value ""Constant
건축물면적 has 2 (3.7%) missing valuesMissing
부대시설정보 has 9 (16.7%) missing valuesMissing
기타인원현황 has 2 (3.7%) missing valuesMissing
운영위탁일자 has 49 (90.7%) missing valuesMissing
관리기관전화번호 has 4 (7.4%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
사회복지사인원수 has 6 (11.1%) zerosZeros

Reproduction

Analysis started2024-05-03 18:43:04.508395
Analysis finished2024-05-03 18:43:06.498272
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct31
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:06.886144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0740741
Min length3

Characters and Unicode

Total characters166
Distinct characters38
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

Unique16 ?
Unique (%)29.6%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row고양시
5th row과천시
ValueCountFrequency (%)
수원시 4
 
7.4%
용인시 3
 
5.6%
포천시 3
 
5.6%
고양시 3
 
5.6%
시흥시 3
 
5.6%
여주시 3
 
5.6%
성남시 3
 
5.6%
안산시 2
 
3.7%
양주시 2
 
3.7%
안양시 2
 
3.7%
Other values (21) 26
48.1%
2024-05-03T18:43:08.075034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 54
32.5%
양 10
 
6.0%
주 9
 
5.4%
천 9
 
5.4%
성 6
 
3.6%
남 6
 
3.6%
포 6
 
3.6%
안 5
 
3.0%
군 4
 
2.4%
원 4
 
2.4%
Other values (28) 53
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 54
32.5%
양 10
 
6.0%
주 9
 
5.4%
천 9
 
5.4%
성 6
 
3.6%
남 6
 
3.6%
포 6
 
3.6%
안 5
 
3.0%
군 4
 
2.4%
원 4
 
2.4%
Other values (28) 53
31.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 54
32.5%
양 10
 
6.0%
주 9
 
5.4%
천 9
 
5.4%
성 6
 
3.6%
남 6
 
3.6%
포 6
 
3.6%
안 5
 
3.0%
군 4
 
2.4%
원 4
 
2.4%
Other values (28) 53
31.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 54
32.5%
양 10
 
6.0%
주 9
 
5.4%
천 9
 
5.4%
성 6
 
3.6%
남 6
 
3.6%
포 6
 
3.6%
안 5
 
3.0%
군 4
 
2.4%
원 4
 
2.4%
Other values (28) 53
31.9%

치매센터명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:08.776180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.296296
Min length8

Characters and Unicode

Total characters610
Distinct characters82
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

Unique52 ?
Unique (%)96.3%

Sample

1st row가평군치매안심센터
2nd row덕양구보건소치매안심센터
3rd row일산서구보건소치매안심센터
4th row일산동구보건소치매안심센터
5th row경기도 과천시 치매안심센터
ValueCountFrequency (%)
치매안심센터 15
 
18.3%
시흥시 3
 
3.7%
포천시치매안심센터 3
 
3.7%
양주시 2
 
2.4%
남부치매안심센터 2
 
2.4%
화성시치매안심센터 2
 
2.4%
동안치매안심센터 1
 
1.2%
안성시 1
 
1.2%
용인시수지구치매안심센터 1
 
1.2%
서부 1
 
1.2%
Other values (51) 51
62.2%
2024-05-03T18:43:10.035173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 58
 
9.5%
센 56
 
9.2%
터 56
 
9.2%
치 54
 
8.9%
매 54
 
8.9%
심 52
 
8.5%
시 35
 
5.7%
28
 
4.6%
소 15
 
2.5%
구 14
 
2.3%
Other values (72) 188
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
94.1%
Space Separator 28
 
4.6%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 58
 
10.1%
센 56
 
9.8%
터 56
 
9.8%
치 54
 
9.4%
매 54
 
9.4%
심 52
 
9.1%
시 35
 
6.1%
소 15
 
2.6%
구 14
 
2.4%
보 13
 
2.3%
Other values (69) 167
29.1%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
94.1%
Common 36
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 58
 
10.1%
센 56
 
9.8%
터 56
 
9.8%
치 54
 
9.4%
매 54
 
9.4%
심 52
 
9.1%
시 35
 
6.1%
소 15
 
2.6%
구 14
 
2.4%
보 13
 
2.3%
Other values (69) 167
29.1%
Common
ValueCountFrequency (%)
28
77.8%
) 4
 
11.1%
( 4
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
94.1%
ASCII 36
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 58
 
10.1%
센 56
 
9.8%
터 56
 
9.8%
치 54
 
9.4%
매 54
 
9.4%
심 52
 
9.1%
시 35
 
6.1%
소 15
 
2.6%
구 14
 
2.4%
보 13
 
2.3%
Other values (69) 167
29.1%
ASCII
ValueCountFrequency (%)
28
77.8%
) 4
 
11.1%
( 4
 
11.1%

치매센터유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
치매안심센터
54 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치매안심센터 54
100.0%

Length

2024-05-03T18:43:10.592419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:43:10.902234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치매안심센터 54
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:11.595323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length21.685185
Min length14

Characters and Unicode

Total characters1171
Distinct characters151
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

Unique54 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 가화로 155-18
2nd row경기도 고양시 덕양구 화중로104번길26, 4층
3rd row경기도 고양시 일산서구 고양대로 688
4th row경기도 고양시 일산동구 중앙로 1228
5th row경기도 과천시 관문로 69 과천시보건소 1층
ValueCountFrequency (%)
경기도 54
 
20.2%
수원시 4
 
1.5%
3층 4
 
1.5%
시흥시 3
 
1.1%
성남시 3
 
1.1%
고양시 3
 
1.1%
포천시 3
 
1.1%
여주시 3
 
1.1%
용인시 3
 
1.1%
안양시 2
 
0.7%
Other values (173) 185
69.3%
2024-05-03T18:43:12.780595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
18.2%
기 57
 
4.9%
시 57
 
4.9%
경 56
 
4.8%
도 54
 
4.6%
로 50
 
4.3%
1 48
 
4.1%
2 26
 
2.2%
5 22
 
1.9%
길 21
 
1.8%
Other values (141) 567
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
61.4%
Space Separator 213
 
18.2%
Decimal Number 207
 
17.7%
Open Punctuation 9
 
0.8%
Close Punctuation 9
 
0.8%
Dash Punctuation 9
 
0.8%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 57
 
7.9%
시 57
 
7.9%
경 56
 
7.8%
도 54
 
7.5%
로 50
 
7.0%
길 21
 
2.9%
구 20
 
2.8%
번 15
 
2.1%
동 14
 
1.9%
양 14
 
1.9%
Other values (126) 361
50.2%
Decimal Number
ValueCountFrequency (%)
1 48
23.2%
2 26
12.6%
5 22
10.6%
3 21
10.1%
6 20
9.7%
0 18
 
8.7%
8 15
 
7.2%
9 15
 
7.2%
4 13
 
6.3%
7 9
 
4.3%
Space Separator
ValueCountFrequency (%)
213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 719
61.4%
Common 452
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 57
 
7.9%
시 57
 
7.9%
경 56
 
7.8%
도 54
 
7.5%
로 50
 
7.0%
길 21
 
2.9%
구 20
 
2.8%
번 15
 
2.1%
동 14
 
1.9%
양 14
 
1.9%
Other values (126) 361
50.2%
Common
ValueCountFrequency (%)
213
47.1%
1 48
 
10.6%
2 26
 
5.8%
5 22
 
4.9%
3 21
 
4.6%
6 20
 
4.4%
0 18
 
4.0%
8 15
 
3.3%
9 15
 
3.3%
4 13
 
2.9%
Other values (5) 41
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
61.4%
ASCII 452
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
47.1%
1 48
 
10.6%
2 26
 
5.8%
5 22
 
4.9%
3 21
 
4.6%
6 20
 
4.4%
0 18
 
4.0%
8 15
 
3.3%
9 15
 
3.3%
4 13
 
2.9%
Other values (5) 41
 
9.1%
Hangul
ValueCountFrequency (%)
기 57
 
7.9%
시 57
 
7.9%
경 56
 
7.8%
도 54
 
7.5%
로 50
 
7.0%
길 21
 
2.9%
구 20
 
2.8%
번 15
 
2.1%
동 14
 
1.9%
양 14
 
1.9%
Other values (126) 361
50.2%

소재지지번주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:13.451639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length23
Mean length19.796296
Min length14

Characters and Unicode

Total characters1069
Distinct characters137
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 624-1
2nd row경기도 고양시 덕양구 화정동 967-1
3rd row경기도 고양시 일산서구 일산동 646-1
4th row경기도 고양시 일산동구 마두동 1010
5th row경기도 과천시 관문로 69 과천시보건소 1층
ValueCountFrequency (%)
경기도 54
 
21.3%
수원시 4
 
1.6%
고양시 3
 
1.2%
성남시 3
 
1.2%
여주시 3
 
1.2%
포천시 3
 
1.2%
시흥시 3
 
1.2%
용인시 3
 
1.2%
163-7 2
 
0.8%
평택시 2
 
0.8%
Other values (167) 174
68.5%
2024-05-03T18:43:14.928285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
18.7%
기 57
 
5.3%
도 55
 
5.1%
시 55
 
5.1%
경 54
 
5.1%
동 45
 
4.2%
1 41
 
3.8%
- 34
 
3.2%
6 27
 
2.5%
3 23
 
2.2%
Other values (127) 478
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 630
58.9%
Decimal Number 203
 
19.0%
Space Separator 200
 
18.7%
Dash Punctuation 34
 
3.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 57
 
9.0%
도 55
 
8.7%
시 55
 
8.7%
경 54
 
8.6%
동 45
 
7.1%
구 19
 
3.0%
리 17
 
2.7%
양 14
 
2.2%
천 14
 
2.2%
원 12
 
1.9%
Other values (113) 288
45.7%
Decimal Number
ValueCountFrequency (%)
1 41
20.2%
6 27
13.3%
3 23
11.3%
8 19
9.4%
0 17
8.4%
5 17
8.4%
7 17
8.4%
2 15
 
7.4%
9 14
 
6.9%
4 13
 
6.4%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 630
58.9%
Common 439
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 57
 
9.0%
도 55
 
8.7%
시 55
 
8.7%
경 54
 
8.6%
동 45
 
7.1%
구 19
 
3.0%
리 17
 
2.7%
양 14
 
2.2%
천 14
 
2.2%
원 12
 
1.9%
Other values (113) 288
45.7%
Common
ValueCountFrequency (%)
200
45.6%
1 41
 
9.3%
- 34
 
7.7%
6 27
 
6.2%
3 23
 
5.2%
8 19
 
4.3%
0 17
 
3.9%
5 17
 
3.9%
7 17
 
3.9%
2 15
 
3.4%
Other values (4) 29
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 630
58.9%
ASCII 439
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
45.6%
1 41
 
9.3%
- 34
 
7.7%
6 27
 
6.2%
3 23
 
5.2%
8 19
 
4.3%
0 17
 
3.9%
5 17
 
3.9%
7 17
 
3.9%
2 15
 
3.4%
Other values (4) 29
 
6.6%
Hangul
ValueCountFrequency (%)
기 57
 
9.0%
도 55
 
8.7%
시 55
 
8.7%
경 54
 
8.6%
동 45
 
7.1%
구 19
 
3.0%
리 17
 
2.7%
양 14
 
2.2%
천 14
 
2.2%
원 12
 
1.9%
Other values (113) 288
45.7%

위도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.464367
Minimum36.996253
Maximum38.089294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-03T18:43:15.480477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.996253
5-th percentile37.084142
Q137.290411
median37.395343
Q337.650936
95-th percentile37.917331
Maximum38.089294
Range1.0930413
Interquartile range (IQR)0.36052492

Descriptive statistics

Standard deviation0.2629448
Coefficient of variation (CV)0.0070185305
Kurtosis-0.40048862
Mean37.464367
Median Absolute Deviation (MAD)0.16339359
Skewness0.46094901
Sum2023.0758
Variance0.069139969
MonotonicityNot monotonic
2024-05-03T18:43:15.980829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.833502 1
 
1.9%
37.34378787 1
 
1.9%
37.81249969 1
 
1.9%
37.83814235 1
 
1.9%
37.49662351 1
 
1.9%
37.20571617 1
 
1.9%
37.29477832 1
 
1.9%
37.37205549 1
 
1.9%
38.02353445 1
 
1.9%
37.159323 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
36.996253 1
1.9%
37.0001476 1
1.9%
37.065701 1
1.9%
37.09407248 1
1.9%
37.11672581 1
1.9%
37.159323 1
1.9%
37.20571617 1
1.9%
37.2070698 1
1.9%
37.24086733 1
1.9%
37.2568819 1
1.9%
ValueCountFrequency (%)
38.0892943195 1
1.9%
38.02353445 1
1.9%
37.9558113614 1
1.9%
37.89661147 1
1.9%
37.85346198 1
1.9%
37.83814235 1
1.9%
37.833502 1
1.9%
37.81249969 1
1.9%
37.745044 1
1.9%
37.73553403 1
1.9%

경도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07901
Minimum126.60045
Maximum127.66242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-03T18:43:16.556499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60045
5-th percentile126.76108
Q1126.90912
median127.06727
Q3127.18386
95-th percentile127.59562
Maximum127.66242
Range1.0619683
Interquartile range (IQR)0.27473365

Descriptive statistics

Standard deviation0.24986382
Coefficient of variation (CV)0.0019662084
Kurtosis0.077322918
Mean127.07901
Median Absolute Deviation (MAD)0.1284371
Skewness0.62850343
Sum6862.2664
Variance0.062431928
MonotonicityNot monotonic
2024-05-03T18:43:17.011632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.510602 1
 
1.9%
126.9719939 1
 
1.9%
126.9723072 1
 
1.9%
127.0680351 1
 
1.9%
127.505177 1
 
1.9%
127.6624173 1
 
1.9%
127.6399084 1
 
1.9%
127.5852432 1
 
1.9%
127.0609628 1
 
1.9%
127.0778335 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
126.6004489927 1
1.9%
126.7211346 1
1.9%
126.7401529 1
1.9%
126.772353 1
1.9%
126.7761487 1
1.9%
126.785283 1
1.9%
126.7880203 1
1.9%
126.8021091 1
1.9%
126.8050097 1
1.9%
126.8152625 1
1.9%
ValueCountFrequency (%)
127.6624173 1
1.9%
127.6399084 1
1.9%
127.6148957 1
1.9%
127.5852432 1
1.9%
127.510602 1
1.9%
127.505177 1
1.9%
127.4523668 1
1.9%
127.315347 1
1.9%
127.3027505 1
1.9%
127.2756336535 1
1.9%

설립연월
Date

Distinct33
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2016-05-01 00:00:00
Maximum2023-12-01 00:00:00
2024-05-03T18:43:17.426780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:43:17.865922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

건축물면적
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)100.0%
Missing2
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean729.27442
Minimum47
Maximum8424.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-03T18:43:18.398006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile118.674
Q1343.6875
median487.21
Q3704.15
95-th percentile1557.34
Maximum8424.4
Range8377.4
Interquartile range (IQR)360.4625

Descriptive statistics

Standard deviation1180.7822
Coefficient of variation (CV)1.6191192
Kurtosis36.882262
Mean729.27442
Median Absolute Deviation (MAD)168.5
Skewness5.7649923
Sum37922.27
Variance1394246.6
MonotonicityNot monotonic
2024-05-03T18:43:18.898846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
792.07 1
 
1.9%
891.25 1
 
1.9%
1096.0 1
 
1.9%
605.0 1
 
1.9%
733.95 1
 
1.9%
135.0 1
 
1.9%
472.6 1
 
1.9%
180.0 1
 
1.9%
450.0 1
 
1.9%
320.0 1
 
1.9%
Other values (42) 42
77.8%
(Missing) 2
 
3.7%
ValueCountFrequency (%)
47.0 1
1.9%
98.0 1
1.9%
98.72 1
1.9%
135.0 1
1.9%
158.38 1
1.9%
180.0 1
1.9%
263.52 1
1.9%
274.0 1
1.9%
281.0 1
1.9%
287.82 1
1.9%
ValueCountFrequency (%)
8424.4 1
1.9%
2838.0 1
1.9%
2121.2 1
1.9%
1096.0 1
1.9%
1042.0 1
1.9%
958.0 1
1.9%
902.88 1
1.9%
891.25 1
1.9%
795.08 1
1.9%
792.07 1
1.9%

부대시설정보
Text

MISSING 

Distinct41
Distinct (%)91.1%
Missing9
Missing (%)16.7%
Memory size564.0 B
2024-05-03T18:43:19.592110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length44
Mean length34.622222
Min length13

Characters and Unicode

Total characters1558
Distinct characters80
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

Unique37 ?
Unique (%)82.2%

Sample

1st row가족카페+교육실+기억키움터+상담실+사무실
2nd row상담실(2)+가족카페(1)+프로그램실(2)
3rd row사무실(1)+프로그램실(1)+협력의사상담실(1)+상담실(1)
4th row사무실+교육실 2+검진실 2+집단상담실+쉼터+가족카페
5th row상담실(1)+검진실(3)+쉼터(1)+가족카페(1)+프로그램실(2)+센터장실(1)+사무실(2)+대회의실(1)
ValueCountFrequency (%)
등 3
 
5.2%
사무실+대기실+프로그램실 2
 
3.4%
쉼터+가족카페+원예치료실등 2
 
3.4%
사무실+쉼터+프로그램실+검진실+가족 2
 
3.4%
카페 2
 
3.4%
사무실+프로그램실+상담실+진단검사실 2
 
3.4%
사무실(2)+상담실(1)+검사실(1)+진단실(1)+프로그램실(2)+대기실(1)+휴게실(1 1
 
1.7%
로비(1)+사무실(1)+상담실(1)+검진실(2)+가족카페(1)+쉼터(3 1
 
1.7%
상담실(2)+가족카페(1)+프로그램실(2 1
 
1.7%
가족카페+교육실+기억키움터+상담실+사무실 1
 
1.7%
Other values (41) 41
70.7%
2024-05-03T18:43:21.132703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 191
 
12.3%
실 172
 
11.0%
) 167
 
10.7%
( 167
 
10.7%
1 115
 
7.4%
사 53
 
3.4%
무 41
 
2.6%
로 33
 
2.1%
페 33
 
2.1%
담 32
 
2.1%
Other values (70) 554
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 847
54.4%
Math Symbol 191
 
12.3%
Decimal Number 169
 
10.8%
Close Punctuation 167
 
10.7%
Open Punctuation 167
 
10.7%
Space Separator 13
 
0.8%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 172
20.3%
사 53
 
6.3%
무 41
 
4.8%
로 33
 
3.9%
페 33
 
3.9%
담 32
 
3.8%
진 32
 
3.8%
카 32
 
3.8%
상 32
 
3.8%
검 30
 
3.5%
Other values (61) 357
42.1%
Decimal Number
ValueCountFrequency (%)
1 115
68.0%
2 28
 
16.6%
3 16
 
9.5%
4 10
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
54.4%
Common 711
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 172
20.3%
사 53
 
6.3%
무 41
 
4.8%
로 33
 
3.9%
페 33
 
3.9%
담 32
 
3.8%
진 32
 
3.8%
카 32
 
3.8%
상 32
 
3.8%
검 30
 
3.5%
Other values (61) 357
42.1%
Common
ValueCountFrequency (%)
+ 191
26.9%
) 167
23.5%
( 167
23.5%
1 115
16.2%
2 28
 
3.9%
3 16
 
2.3%
13
 
1.8%
4 10
 
1.4%
, 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
54.4%
ASCII 711
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 191
26.9%
) 167
23.5%
( 167
23.5%
1 115
16.2%
2 28
 
3.9%
3 16
 
2.3%
13
 
1.8%
4 10
 
1.4%
, 4
 
0.6%
Hangul
ValueCountFrequency (%)
실 172
20.3%
사 53
 
6.3%
무 41
 
4.8%
로 33
 
3.9%
페 33
 
3.9%
담 32
 
3.8%
진 32
 
3.8%
카 32
 
3.8%
상 32
 
3.8%
검 30
 
3.5%
Other values (61) 357
42.1%

의사인원수
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
23 
0
18 
2
7 
3
3 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 23
42.6%
0 18
33.3%
2 7
 
13.0%
3 3
 
5.6%
4 3
 
5.6%

Length

2024-05-03T18:43:21.676446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:43:22.014754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
42.6%
0 18
33.3%
2 7
 
13.0%
3 3
 
5.6%
4 3
 
5.6%

간호사인원수
Real number (ℝ)

Distinct15
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6111111
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-03T18:43:22.325700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7.5
Q310
95-th percentile14.35
Maximum17
Range16
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2622373
Coefficient of variation (CV)0.56000198
Kurtosis-0.55135737
Mean7.6111111
Median Absolute Deviation (MAD)3.5
Skewness0.35565327
Sum411
Variance18.166667
MonotonicityNot monotonic
2024-05-03T18:43:22.733875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 8
14.8%
9 6
11.1%
14 5
9.3%
8 5
9.3%
7 5
9.3%
1 5
9.3%
5 4
7.4%
10 4
7.4%
6 2
 
3.7%
17 2
 
3.7%
Other values (5) 8
14.8%
ValueCountFrequency (%)
1 5
9.3%
2 1
 
1.9%
3 2
 
3.7%
4 8
14.8%
5 4
7.4%
6 2
 
3.7%
7 5
9.3%
8 5
9.3%
9 6
11.1%
10 4
7.4%
ValueCountFrequency (%)
17 2
 
3.7%
15 1
 
1.9%
14 5
9.3%
12 2
 
3.7%
11 2
 
3.7%
10 4
7.4%
9 6
11.1%
8 5
9.3%
7 5
9.3%
6 2
 
3.7%

사회복지사인원수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9814815
Minimum0
Maximum6
Zeros6
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-03T18:43:23.149581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4983103
Coefficient of variation (CV)0.75615658
Kurtosis-0.17347174
Mean1.9814815
Median Absolute Deviation (MAD)1
Skewness0.76665432
Sum107
Variance2.2449336
MonotonicityNot monotonic
2024-05-03T18:43:23.650011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 22
40.7%
3 10
18.5%
2 7
 
13.0%
0 6
 
11.1%
4 5
 
9.3%
5 3
 
5.6%
6 1
 
1.9%
ValueCountFrequency (%)
0 6
 
11.1%
1 22
40.7%
2 7
 
13.0%
3 10
18.5%
4 5
 
9.3%
5 3
 
5.6%
6 1
 
1.9%
ValueCountFrequency (%)
6 1
 
1.9%
5 3
 
5.6%
4 5
 
9.3%
3 10
18.5%
2 7
 
13.0%
1 22
40.7%
0 6
 
11.1%

기타인원현황
Text

MISSING 

Distinct39
Distinct (%)75.0%
Missing2
Missing (%)3.7%
Memory size564.0 B
2024-05-03T18:43:24.273468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length33
Mean length15.634615
Min length1

Characters and Unicode

Total characters813
Distinct characters66
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

Unique35 ?
Unique (%)67.3%

Sample

1st row작업치료사(2)
2nd row임상심리사(1)+임상병리사(1)+영양사(1)+작업치료사(2)
3rd row방사선사(1)+작업치료사(2)+치위생사(1)+물리치료사(1)
4th row응급구조사(1)+의무기록사(1)+작업치료사(2)+간호조무사(1)
5th row작업치료사(2)+임상심리사(1)
ValueCountFrequency (%)
작업치료사(2 7
 
11.7%
작업치료사(1 6
 
10.0%
작업치료사(3 4
 
6.7%
작업치료사(1)+행정(1 2
 
3.3%
3 2
 
3.3%
작업치료사 2
 
3.3%
4)+기타(3 1
 
1.7%
1
 
1.7%
기타(1 1
 
1.7%
작업치료사(3)+운전기사(3 1
 
1.7%
Other values (33) 33
55.0%
2024-05-03T18:43:25.292109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 94
11.6%
) 94
11.6%
사 79
 
9.7%
1 56
 
6.9%
치 53
 
6.5%
료 50
 
6.2%
+ 49
 
6.0%
업 49
 
6.0%
작 48
 
5.9%
2 30
 
3.7%
Other values (56) 211
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
56.8%
Decimal Number 104
 
12.8%
Open Punctuation 94
 
11.6%
Close Punctuation 94
 
11.6%
Math Symbol 49
 
6.0%
Space Separator 8
 
1.0%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 79
17.1%
치 53
11.5%
료 50
 
10.8%
업 49
 
10.6%
작 48
 
10.4%
기 14
 
3.0%
리 13
 
2.8%
상 11
 
2.4%
임 11
 
2.4%
심 9
 
1.9%
Other values (45) 125
27.1%
Decimal Number
ValueCountFrequency (%)
1 56
53.8%
2 30
28.8%
3 11
 
10.6%
4 4
 
3.8%
5 2
 
1.9%
0 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Math Symbol
ValueCountFrequency (%)
+ 49
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
56.8%
Common 351
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 79
17.1%
치 53
11.5%
료 50
 
10.8%
업 49
 
10.6%
작 48
 
10.4%
기 14
 
3.0%
리 13
 
2.8%
상 11
 
2.4%
임 11
 
2.4%
심 9
 
1.9%
Other values (45) 125
27.1%
Common
ValueCountFrequency (%)
( 94
26.8%
) 94
26.8%
1 56
16.0%
+ 49
14.0%
2 30
 
8.5%
3 11
 
3.1%
8
 
2.3%
4 4
 
1.1%
, 2
 
0.6%
5 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
56.8%
ASCII 351
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 94
26.8%
) 94
26.8%
1 56
16.0%
+ 49
14.0%
2 30
 
8.5%
3 11
 
3.1%
8
 
2.3%
4 4
 
1.1%
, 2
 
0.6%
5 2
 
0.6%
Hangul
ValueCountFrequency (%)
사 79
17.1%
치 53
11.5%
료 50
 
10.8%
업 49
 
10.6%
작 48
 
10.4%
기 14
 
3.0%
리 13
 
2.8%
상 11
 
2.4%
임 11
 
2.4%
심 9
 
1.9%
Other values (45) 125
27.1%

운영기관명
Text

Distinct45
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:26.119386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.462963
Min length6

Characters and Unicode

Total characters457
Distinct characters82
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

Unique39 ?
Unique (%)72.2%

Sample

1st row가평군보건소
2nd row덕양구보건소
3rd row일산서구보건소
4th row일산동구보건소
5th row과천시보건소
ValueCountFrequency (%)
경기도 14
 
16.3%
보건소 5
 
5.8%
치매안심센터 4
 
4.7%
시흥시보건소 3
 
3.5%
여주시보건소 3
 
3.5%
포천시보건소 3
 
3.5%
용인시 3
 
3.5%
화성시 2
 
2.3%
평택시청 2
 
2.3%
안산시 2
 
2.3%
Other values (42) 45
52.3%
2024-05-03T18:43:27.497920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 47
 
10.3%
건 47
 
10.3%
소 46
 
10.1%
시 40
 
8.8%
32
 
7.0%
기 15
 
3.3%
구 15
 
3.3%
경 14
 
3.1%
도 14
 
3.1%
안 12
 
2.6%
Other values (72) 175
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
92.6%
Space Separator 32
 
7.0%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 47
 
11.1%
건 47
 
11.1%
소 46
 
10.9%
시 40
 
9.5%
기 15
 
3.5%
구 15
 
3.5%
경 14
 
3.3%
도 14
 
3.3%
안 12
 
2.8%
주 9
 
2.1%
Other values (69) 164
38.8%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
92.6%
Common 34
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 47
 
11.1%
건 47
 
11.1%
소 46
 
10.9%
시 40
 
9.5%
기 15
 
3.5%
구 15
 
3.5%
경 14
 
3.3%
도 14
 
3.3%
안 12
 
2.8%
주 9
 
2.1%
Other values (69) 164
38.8%
Common
ValueCountFrequency (%)
32
94.1%
) 1
 
2.9%
( 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
92.6%
ASCII 34
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 47
 
11.1%
건 47
 
11.1%
소 46
 
10.9%
시 40
 
9.5%
기 15
 
3.5%
구 15
 
3.5%
경 14
 
3.3%
도 14
 
3.3%
안 12
 
2.8%
주 9
 
2.1%
Other values (69) 164
38.8%
ASCII
ValueCountFrequency (%)
32
94.1%
) 1
 
2.9%
( 1
 
2.9%

운영기관대표자명
Text

Distinct44
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:28.151189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.4814815
Min length3

Characters and Unicode

Total characters188
Distinct characters74
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)68.5%

Sample

1st row정연표
2nd row김안현
3rd row최경미
4th row홍효명
5th row김향희
ValueCountFrequency (%)
방효설 3
 
5.6%
포천시보건소장 3
 
5.6%
최영성 3
 
5.6%
이재환 2
 
3.7%
조수현 2
 
3.7%
최문갑 2
 
3.7%
보건소장 2
 
3.7%
이현희 1
 
1.9%
오상근 1
 
1.9%
정연표 1
 
1.9%
Other values (34) 34
63.0%
2024-05-03T18:43:29.308603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 9
 
4.8%
김 8
 
4.3%
보 7
 
3.7%
건 7
 
3.7%
소 7
 
3.7%
최 7
 
3.7%
이 6
 
3.2%
현 6
 
3.2%
정 6
 
3.2%
성 5
 
2.7%
Other values (64) 120
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
98.9%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 9
 
4.8%
김 8
 
4.3%
보 7
 
3.8%
건 7
 
3.8%
소 7
 
3.8%
최 7
 
3.8%
이 6
 
3.2%
현 6
 
3.2%
정 6
 
3.2%
성 5
 
2.7%
Other values (62) 118
63.4%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 9
 
4.8%
김 8
 
4.3%
보 7
 
3.8%
건 7
 
3.8%
소 7
 
3.8%
최 7
 
3.8%
이 6
 
3.2%
현 6
 
3.2%
정 6
 
3.2%
성 5
 
2.7%
Other values (62) 118
63.4%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 9
 
4.8%
김 8
 
4.3%
보 7
 
3.8%
건 7
 
3.8%
소 7
 
3.8%
최 7
 
3.8%
이 6
 
3.2%
현 6
 
3.2%
정 6
 
3.2%
성 5
 
2.7%
Other values (62) 118
63.4%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

운영기관전화번호
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:30.060025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.259259
Min length12

Characters and Unicode

Total characters662
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

Unique51 ?
Unique (%)94.4%

Sample

1st row031-580-2849
2nd row031-8075-4800
3rd row031-8075-4871
4th row031-8075-4850
5th row02-2150-3572
ValueCountFrequency (%)
031-887-3691 3
 
5.6%
031-580-2849 1
 
1.9%
031-324-6157 1
 
1.9%
031-8075-4800 1
 
1.9%
031-8045-3180 1
 
1.9%
031-8045-6801 1
 
1.9%
031-8082-4388 1
 
1.9%
031-8082-7147 1
 
1.9%
031-771-5773 1
 
1.9%
031-839-4165 1
 
1.9%
Other values (42) 42
77.8%
2024-05-03T18:43:31.210892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
16.3%
0 98
14.8%
3 94
14.2%
1 83
12.5%
8 65
9.8%
4 45
6.8%
5 43
 
6.5%
7 35
 
5.3%
2 35
 
5.3%
6 33
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
83.7%
Dash Punctuation 108
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 98
17.7%
3 94
17.0%
1 83
15.0%
8 65
11.7%
4 45
8.1%
5 43
7.8%
7 35
 
6.3%
2 35
 
6.3%
6 33
 
6.0%
9 23
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 662
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.3%
0 98
14.8%
3 94
14.2%
1 83
12.5%
8 65
9.8%
4 45
6.8%
5 43
 
6.5%
7 35
 
5.3%
2 35
 
5.3%
6 33
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 662
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.3%
0 98
14.8%
3 94
14.2%
1 83
12.5%
8 65
9.8%
4 45
6.8%
5 43
 
6.5%
7 35
 
5.3%
2 35
 
5.3%
6 33
 
5.0%

운영위탁일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing49
Missing (%)90.7%
Memory size564.0 B
Minimum2019-03-05 00:00:00
Maximum2023-01-01 00:00:00
2024-05-03T18:43:31.650081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:43:32.047407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

주요치매관리프로그램소개
Text

Distinct39
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:32.514281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length69
Mean length53.574074
Min length16

Characters and Unicode

Total characters2893
Distinct characters144
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)51.9%

Sample

1st row맞춤형사례관리+인지강화 및 치매예방교실+단기쉼터운영+치매파트너 및 파트너플러스 양성+치매가족지지프로그램+인식강화 등
2nd row치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업
3rd row치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업
4th row치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업
5th row치매상담+등록관리+조기검진+단기쉼터운영+가족지원+실종예방지원+인식개선사업+조호물품 및 치매치료관리비 지원+치매예방교실+치매가족교실+치매파트너교육+치매공공후견인 발굴+식이섭취 장애개선+치매안심마을+맞춤형사례관리+고위험군 인지강화교실 운영 등
ValueCountFrequency (%)
및 39
 
11.5%
등 24
 
7.1%
운영 10
 
2.9%
운영+치매 8
 
2.4%
프로그램 8
 
2.4%
쉼터 7
 
2.1%
치매환자 5
 
1.5%
안심마을 5
 
1.5%
교육 5
 
1.5%
기념행사 4
 
1.2%
Other values (145) 224
66.1%
2024-05-03T18:43:33.534067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
 
9.9%
치 234
 
8.1%
매 215
 
7.4%
+ 214
 
7.4%
사 82
 
2.8%
지 77
 
2.7%
검 62
 
2.1%
운 56
 
1.9%
영 55
 
1.9%
조 53
 
1.8%
Other values (134) 1560
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
81.5%
Space Separator 285
 
9.9%
Math Symbol 214
 
7.4%
Other Punctuation 24
 
0.8%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 234
 
9.9%
매 215
 
9.1%
사 82
 
3.5%
지 77
 
3.3%
검 62
 
2.6%
운 56
 
2.4%
영 55
 
2.3%
조 53
 
2.2%
업 52
 
2.2%
예 49
 
2.1%
Other values (125) 1424
60.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
G 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
· 2
 
8.3%
Space Separator
ValueCountFrequency (%)
285
100.0%
Math Symbol
ValueCountFrequency (%)
+ 214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2359
81.5%
Common 531
 
18.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 234
 
9.9%
매 215
 
9.1%
사 82
 
3.5%
지 77
 
3.3%
검 62
 
2.6%
운 56
 
2.4%
영 55
 
2.3%
조 53
 
2.2%
업 52
 
2.2%
예 49
 
2.1%
Other values (125) 1424
60.4%
Common
ValueCountFrequency (%)
285
53.7%
+ 214
40.3%
, 22
 
4.1%
) 4
 
0.8%
( 4
 
0.8%
· 2
 
0.4%
Latin
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2353
81.3%
ASCII 532
 
18.4%
Compat Jamo 6
 
0.2%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
53.6%
+ 214
40.2%
, 22
 
4.1%
) 4
 
0.8%
( 4
 
0.8%
S 1
 
0.2%
P 1
 
0.2%
G 1
 
0.2%
Hangul
ValueCountFrequency (%)
치 234
 
9.9%
매 215
 
9.1%
사 82
 
3.5%
지 77
 
3.3%
검 62
 
2.6%
운 56
 
2.4%
영 55
 
2.3%
조 53
 
2.3%
업 52
 
2.2%
예 49
 
2.1%
Other values (124) 1418
60.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

관리기관전화번호
Text

MISSING 

Distinct46
Distinct (%)92.0%
Missing4
Missing (%)7.4%
Memory size564.0 B
2024-05-03T18:43:34.248599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length9

Characters and Unicode

Total characters604
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

Unique43 ?
Unique (%)86.0%

Sample

1st row031-580-2849
2nd row031-8075-4800
3rd row031-8075-4871
4th row031-8075-4850
5th row02-2150-3805
ValueCountFrequency (%)
031-310-5858 3
 
6.0%
1666-1234 2
 
4.0%
031-8082-7100 2
 
4.0%
031-940-3721 1
 
2.0%
031-887-3685 1
 
2.0%
031-580-2849 1
 
2.0%
031-839-4065 1
 
2.0%
031-538-4547 1
 
2.0%
031-8024-7302 1
 
2.0%
031-538-4806 1
 
2.0%
Other values (36) 36
72.0%
2024-05-03T18:43:35.478177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.2%
0 92
15.2%
3 84
13.9%
1 73
12.1%
8 58
9.6%
4 42
7.0%
5 40
6.6%
2 38
 
6.3%
7 31
 
5.1%
6 28
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 506
83.8%
Dash Punctuation 98
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
18.2%
3 84
16.6%
1 73
14.4%
8 58
11.5%
4 42
8.3%
5 40
7.9%
2 38
7.5%
7 31
 
6.1%
6 28
 
5.5%
9 20
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.2%
0 92
15.2%
3 84
13.9%
1 73
12.1%
8 58
9.6%
4 42
7.0%
5 40
6.6%
2 38
 
6.3%
7 31
 
5.1%
6 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.2%
0 92
15.2%
3 84
13.9%
1 73
12.1%
8 58
9.6%
4 42
7.0%
5 40
6.6%
2 38
 
6.3%
7 31
 
5.1%
6 28
 
4.6%

관리기관명
Text

Distinct43
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-03T18:43:36.171371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.537037
Min length6

Characters and Unicode

Total characters569
Distinct characters74
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

Unique35 ?
Unique (%)64.8%

Sample

1st row가평군보건소
2nd row덕양구보건소 치매안심센터
3rd row일산서구보건소 치매안심센터
4th row일산동구보건소 치매안심센터
5th row경기도 과천시청
ValueCountFrequency (%)
경기도 38
30.4%
보건소 9
 
7.2%
치매안심센터 6
 
4.8%
건강증진과 4
 
3.2%
수원시 4
 
3.2%
여주시청 3
 
2.4%
시흥시청 3
 
2.4%
포천시청 3
 
2.4%
성남시 3
 
2.4%
평택시청 2
 
1.6%
Other values (43) 50
40.0%
2024-05-03T18:43:37.259695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
12.5%
시 48
 
8.4%
기 39
 
6.9%
경 38
 
6.7%
도 38
 
6.7%
건 35
 
6.2%
보 31
 
5.4%
소 30
 
5.3%
청 23
 
4.0%
구 16
 
2.8%
Other values (64) 200
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
87.5%
Space Separator 71
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 48
 
9.6%
기 39
 
7.8%
경 38
 
7.6%
도 38
 
7.6%
건 35
 
7.0%
보 31
 
6.2%
소 30
 
6.0%
청 23
 
4.6%
구 16
 
3.2%
안 15
 
3.0%
Other values (63) 185
37.1%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
87.5%
Common 71
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 48
 
9.6%
기 39
 
7.8%
경 38
 
7.6%
도 38
 
7.6%
건 35
 
7.0%
보 31
 
6.2%
소 30
 
6.0%
청 23
 
4.6%
구 16
 
3.2%
안 15
 
3.0%
Other values (63) 185
37.1%
Common
ValueCountFrequency (%)
71
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
87.5%
ASCII 71
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
100.0%
Hangul
ValueCountFrequency (%)
시 48
 
9.6%
기 39
 
7.8%
경 38
 
7.6%
도 38
 
7.6%
건 35
 
7.0%
보 31
 
6.2%
소 30
 
6.0%
청 23
 
4.6%
구 16
 
3.2%
안 15
 
3.0%
Other values (63) 185
37.1%

데이터기준일자
Date

Distinct29
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2022-12-13 00:00:00
Maximum2024-01-09 00:00:00
2024-05-03T18:43:37.839970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:43:38.416157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Sample

시군명치매센터명치매센터유형소재지도로명주소소재지지번주소위도경도설립연월건축물면적부대시설정보의사인원수간호사인원수사회복지사인원수기타인원현황운영기관명운영기관대표자명운영기관전화번호운영위탁일자주요치매관리프로그램소개관리기관전화번호관리기관명데이터기준일자
0가평군가평군치매안심센터치매안심센터경기도 가평군 가평읍 가화로 155-18경기도 가평군 가평읍 읍내리 624-137.833502127.5106022020-12368.0가족카페+교육실+기억키움터+상담실+사무실151작업치료사(2)가평군보건소정연표031-580-2849<NA>맞춤형사례관리+인지강화 및 치매예방교실+단기쉼터운영+치매파트너 및 파트너플러스 양성+치매가족지지프로그램+인식강화 등031-580-2849가평군보건소2023-12-04
1고양시덕양구보건소치매안심센터치매안심센터경기도 고양시 덕양구 화중로104번길26, 4층경기도 고양시 덕양구 화정동 967-137.635806126.8325252018-07485.42<NA>1142임상심리사(1)+임상병리사(1)+영양사(1)+작업치료사(2)덕양구보건소김안현031-8075-4800<NA>치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업031-8075-4800덕양구보건소 치매안심센터2023-08-21
2고양시일산서구보건소치매안심센터치매안심센터경기도 고양시 일산서구 고양대로 688경기도 고양시 일산서구 일산동 646-137.683636126.7723532018-06795.08<NA>091방사선사(1)+작업치료사(2)+치위생사(1)+물리치료사(1)일산서구보건소최경미031-8075-4871<NA>치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업031-8075-4871일산서구보건소 치매안심센터2023-08-21
3고양시일산동구보건소치매안심센터치매안심센터경기도 고양시 일산동구 중앙로 1228경기도 고양시 일산동구 마두동 101037.655979126.7761492018-04446.0<NA>0101응급구조사(1)+의무기록사(1)+작업치료사(2)+간호조무사(1)일산동구보건소홍효명031-8075-4850<NA>치매선별검사 및 진단검사 실시+치매환자등록ㆍ조호물품ㆍ치매치료관리비 지원+경증 치매환자 쉼터 운영+치매예방 프로그램 운영+치매 안심마을 운영+치매 인식개선사업+치매환자 실종예방사업031-8075-4850일산동구보건소 치매안심센터2023-08-21
4과천시경기도 과천시 치매안심센터치매안심센터경기도 과천시 관문로 69 과천시보건소 1층경기도 과천시 관문로 69 과천시보건소 1층37.429201126.9834912018-112838.0상담실(2)+가족카페(1)+프로그램실(2)161작업치료사(2)+임상심리사(1)과천시보건소김향희02-2150-3572<NA>치매상담+등록관리+조기검진+단기쉼터운영+가족지원+실종예방지원+인식개선사업+조호물품 및 치매치료관리비 지원+치매예방교실+치매가족교실+치매파트너교육+치매공공후견인 발굴+식이섭취 장애개선+치매안심마을+맞춤형사례관리+고위험군 인지강화교실 운영 등02-2150-3805경기도 과천시청2023-06-30
5광명시광명시치매안심센터치매안심센터경기도 광명시 오리로 613경기도 광명시 하안동 230-137.455411126.8781642019-01158.38사무실(1)+프로그램실(1)+협력의사상담실(1)+상담실(1)1171작업치료사(1)+보건직(1)광명시치매안심센터이현숙02-2680-5830<NA>치매조기검진+치매극복의날 기념행사+치매서포터즈양성+치매안심마을 운영+치매인지프로그램운영 등02-2680-5532경기도 광명시 보건소2023-06-21
6광주시광주시 치매안심센터치매안심센터경기도 광주시 초월읍 경충대로 1009-40 (쌍동리)경기도 광주시 초월읍 쌍동리 163-737.368846127.3027512018-11958.0<NA>064<NA>광주시보건소김미수031-760-2521<NA>치매 조기검진+ 인지강화 프로그램+ 치매예방교실 등 치매 예방관리 통합서비스 제공031-760-2110광주시보건소2023-01-02
7구리시구리시 치매안심센터치매안심센터경기도 구리시 건원대로 34번길 84, 구리시보건소 4층경기도 구리시 인창동 674-337.604777127.1450792023-03330.0<NA>15012경기도 구리시보건소김은주031-550-8613<NA>치매쉼터 운영+치매조기검진+치매조기검진+인지재활프로그램 운영+가족카페 운영031-550-8311경기도 구리시청2023-07-01
8군포시군포시치매안심센터치매안심센터경기도 군포시 군포로 522경기도 군포시 당동 776-2037.352582126.9456642018-05493.9사무실+교육실 2+검진실 2+집단상담실+쉼터+가족카페11243군포시치매안심센터김미경031-389-4988<NA>조기검진+쉼터아름드리교실+치매치료관리비 지원+치매환자 조호물품 지원+치매조기발견교육+치매파트너교육+실버로봇교실+인자강화교실+뇌건강운동교실 등031-389-4988군포시치매안심센터2023-06-29
9김포시북부보건과 치매관리팀치매안심센터경기도 김포시 통진읍 마송1로 77경기도 김포시 통진읍 마송리 52637.686637126.6004492018-038424.4<NA>141작업치료사1명+기타1명김포시 치매안심센터최문갑031-5186-4213<NA>치매선별검사+치매예방 및 인지저하 프로그램+치매안심마을 운영+치매치료관리비+조호물품제공031-5186-4213경기도 김포시 보건소2023-09-15
시군명치매센터명치매센터유형소재지도로명주소소재지지번주소위도경도설립연월건축물면적부대시설정보의사인원수간호사인원수사회복지사인원수기타인원현황운영기관명운영기관대표자명운영기관전화번호운영위탁일자주요치매관리프로그램소개관리기관전화번호관리기관명데이터기준일자
44이천시이천시 치매안심센터치매안심센터경기도 이천시 증신로153번길 13경기도 이천시 증포동 152-237.288955127.4523672023-11324.4사무실(2)+상담실(1)+검사실(1)+진단실(1)+프로그램실(2)+대기실(1)+휴게실(1)392작업치료사2명+임상병리사1명이천시 보건소조수현031-644-4007<NA>치매조기검진사업+치매치료관리비지원사업+치매쉼터프로그램운영+치매환자가족(헤아림) 교육 및 자조모임운영+치매예방 홍보 교육 및 캠페인+치매파트너 모집+치매관련 정보제공+치매환자 배회인식표 제공+자원연계031-644-4007이천시 보건소2023-02-07
45파주시파주시 치매안심센터치매안심센터경기도 파주시 조리읍 봉천로 68(건강증진센터 3층)경기도 파주시 조리읍 봉일천리 188-937.745044126.805012018-07356.42사무실(1)+프로그램실(1)+다목적홀(1)+상담실(2)+센터장실(진단검사실)(1)+가족카페(1)1114작업치료사 (3), 기타(2)파주시 보건소파주시보건소장(임미숙)031-940-3721<NA>치매조기검진사업, 치매인식개선 및 예방사업, 치매환자가족(헤아림)교육 및 지지프로그램 운영, 쉼터 운영사업,치매치료비지원사업, 치매파트너 모집, 치매환자 배회인식표제공, 지문등록, 치매안심공동체 운영, 사례관리,치매환자 인지재활 프로그램031-940-3721파주시 보건소2023-05-02
46평택시평택치매안심센터치매안심센터경기도 평택시 중앙1로56번길 25, 2층경기도 평택시 비전동 63136.996253127.0891932023-02657.0사무실+프로그램실+상담실+교육실+가족카페440센터장(1)+팀장(1)+작업치료사(2)+임상심리사(2)+팀원(1)경기도 평택시청 평택보건소평택보건소장031-8024-4405<NA>치매조기검진사업+치매예방교육 및 인지재활+가족프로그램 운영 등031-8024-4405경기도 평택시청 평택보건소2023-01-31
47평택시평택시 송탄치매안심센터치매안심센터경기도 평택시 서정로 295(송탄보건소옆)경기도 평택시 서정동 산1237.065701127.0664972019-11777.0교육실(4)+사무실(2)+상담실(3)+로비011작업치료사(1)+임상심리사(1)+기타(2)경기도 평택시청 송탄보건소황장성031-8024-7302<NA>무료조기검진+치매지원서비스제공+예방프로그램+치매극복의날행사031-8024-7302경기도 평택시청 송탄보건소2023-01-31
48포천시포천시치매안심센터 일동분소치매안심센터경기도 포천시 일동면 소야길9경기도 포천시 일동면 기산리 88-3137.955811127.3153472023-0898.0사무실+대기실+프로그램실010작업치료사(1)경기도 포천시보건소포천시보건소장031-538-4547<NA>치매검진+치매인지강화 프로그램031-538-4547경기도 포천시청2023-07-07
49포천시포천시치매안심센터치매안심센터경기도 포천시 삼육사로 2186번길 11-15경기도 포천시 선단동 629-137.853462127.159312023-10621.0사무실+회의실+교육실+검진실230작업치료사(2)경기도 포천시보건소포천시보건소장031-538-4831<NA>치매검진+치매인지강화 프로그램031-538-4831경기도 포천시청2023-07-07
50포천시포천시치매안심센터 영북분소치매안심센터경기도 포천시 영북면 영북로166경기도 포천시 영북면 운천리 340-638.089294127.2756342023-12<NA>사무실+대기실+프로그램실110작업치료사(1)경기도 포천시보건소포천시보건소장031-538-4806<NA>치매검진+치매인지강화 프로그램031-538-4806경기도 포천시청2023-07-07
51하남시하남시 치매안심센터치매안심센터경기도 하남시 미사강변대로 200경기도 하남시 망월동 98037.567655127.1858192018-07274.0사무실(1)+프로그램실(2)+상담실(3)+검진실(1)+진료실(1)+카페(1)171물리치료사(1)+작업치료사(2)하남시 치매안심센터박강용031-790-6254<NA>치매상담 및 등록관리사업, 치매조기검진, 예방관리사업 등031-790-6254하남시 치매안심센터2023-06-27
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