Overview

Dataset statistics

Number of variables24
Number of observations2145
Missing cells4932
Missing cells (%)9.6%
Duplicate rows92
Duplicate rows (%)4.3%
Total size in memory410.7 KiB
Average record size in memory196.1 B

Variable types

Categorical8
Text11
Numeric4
DateTime1

Dataset

Description장애인복지관 운영 프로그램
Author가평군
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=I5KFBR9J388NS75BEGWD29433604&infSeq=1

Alerts

Dataset has 92 (4.3%) duplicate rowsDuplicates
부가비용 is highly imbalanced (82.3%)Imbalance
추가연락처번호정보 is highly imbalanced (78.5%)Imbalance
유의사항 is highly imbalanced (89.9%)Imbalance
이용대상상세조건(장애유형) has 1470 (68.5%) missing valuesMissing
이용대상상세조건(연령제한) has 789 (36.8%) missing valuesMissing
이용대상상세조건(기타조건) has 515 (24.0%) missing valuesMissing
상세구분 has 754 (35.2%) missing valuesMissing
이용시간 has 35 (1.6%) missing valuesMissing
이용금액 has 354 (16.5%) missing valuesMissing
이용금액산정기준 has 1007 (46.9%) missing valuesMissing
이용금액 is highly skewed (γ1 = 22.2892697)Skewed
이용금액 has 746 (34.8%) zerosZeros

Reproduction

Analysis started2024-05-10 20:38:40.638528
Analysis finished2024-05-10 20:38:44.354873
Duration3.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct24
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
용인시
241 
성남시
223 
평택시
175 
수원시
165 
양주시
164 
Other values (19)
1177 

Length

Max length4
Median length3
Mean length3.1062937
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 241
 
11.2%
성남시 223
 
10.4%
평택시 175
 
8.2%
수원시 165
 
7.7%
양주시 164
 
7.6%
하남시 118
 
5.5%
이천시 109
 
5.1%
동두천시 103
 
4.8%
오산시 97
 
4.5%
군포시 86
 
4.0%
Other values (14) 664
31.0%

Length

2024-05-10T20:38:44.548618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 241
 
11.2%
성남시 223
 
10.4%
평택시 175
 
8.2%
수원시 165
 
7.7%
양주시 164
 
7.6%
하남시 118
 
5.5%
이천시 109
 
5.1%
동두천시 103
 
4.8%
오산시 97
 
4.5%
군포시 86
 
4.0%
Other values (14) 664
31.0%

복지관명
Categorical

Distinct31
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
양주시장애인종합복지관
164 
성남시한마음복지관
154 
하남시장애인복지관
 
118
이천시장애인종합복지관
 
109
동두천시장애인종합복지관
 
103
Other values (26)
1497 

Length

Max length13
Median length12
Mean length10.537529
Min length9

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
양주시장애인종합복지관 164
 
7.6%
성남시한마음복지관 154
 
7.2%
하남시장애인복지관 118
 
5.5%
이천시장애인종합복지관 109
 
5.1%
동두천시장애인종합복지관 103
 
4.8%
에바다장애인종합복지관 97
 
4.5%
용인시기흥장애인복지관 92
 
4.3%
수원시장애인종합복지관 88
 
4.1%
군포시장애인종합복지관 86
 
4.0%
용인시처인장애인종합복지관 80
 
3.7%
Other values (21) 1054
49.1%

Length

2024-05-10T20:38:44.936061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양주시장애인종합복지관 164
 
7.4%
성남시한마음복지관 154
 
7.0%
하남시장애인복지관 118
 
5.3%
이천시장애인종합복지관 109
 
4.9%
동두천시장애인종합복지관 103
 
4.7%
에바다장애인종합복지관 97
 
4.4%
용인시기흥장애인복지관 92
 
4.2%
수원시장애인종합복지관 88
 
4.0%
군포시장애인종합복지관 86
 
3.9%
용인시처인장애인종합복지관 80
 
3.6%
Other values (22) 1118
50.6%

이용대상
Text

Distinct79
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-10T20:38:45.362475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length3
Mean length5.2032634
Min length3

Characters and Unicode

Total characters11161
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)1.7%

Sample

1st row등록장애인
2nd row등록장애인
3rd row등록장애인
4th row등록장애인
5th row등록장애인
ValueCountFrequency (%)
장애인 1445
55.2%
장애인+비장애인 218
 
8.3%
가족 198
 
7.6%
장애인+장애인 180
 
6.9%
지역주민 80
 
3.1%
비장애인 53
 
2.0%
및 50
 
1.9%
장애인가족 40
 
1.5%
등록장애인 34
 
1.3%
장애인+지역주민 34
 
1.3%
Other values (89) 287
 
11.0%
2024-05-10T20:38:46.039075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2599
23.3%
애 2594
23.2%
인 2570
23.0%
+ 606
 
5.4%
474
 
4.2%
가 355
 
3.2%
족 342
 
3.1%
비 327
 
2.9%
지 181
 
1.6%
주 179
 
1.6%
Other values (93) 934
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10037
89.9%
Math Symbol 606
 
5.4%
Space Separator 474
 
4.2%
Other Punctuation 38
 
0.3%
Lowercase Letter 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2599
25.9%
애 2594
25.8%
인 2570
25.6%
가 355
 
3.5%
족 342
 
3.4%
비 327
 
3.3%
지 181
 
1.8%
주 179
 
1.8%
민 179
 
1.8%
역 179
 
1.8%
Other values (84) 532
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 34
89.5%
· 2
 
5.3%
/ 2
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
p 2
50.0%
g 2
50.0%
Math Symbol
ValueCountFrequency (%)
+ 606
100.0%
Space Separator
ValueCountFrequency (%)
474
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10037
89.9%
Common 1120
 
10.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2599
25.9%
애 2594
25.8%
인 2570
25.6%
가 355
 
3.5%
족 342
 
3.4%
비 327
 
3.3%
지 181
 
1.8%
주 179
 
1.8%
민 179
 
1.8%
역 179
 
1.8%
Other values (84) 532
 
5.3%
Common
ValueCountFrequency (%)
+ 606
54.1%
474
42.3%
, 34
 
3.0%
· 2
 
0.2%
/ 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%
Latin
ValueCountFrequency (%)
p 2
50.0%
g 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10037
89.9%
ASCII 1122
 
10.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2599
25.9%
애 2594
25.8%
인 2570
25.6%
가 355
 
3.5%
족 342
 
3.4%
비 327
 
3.3%
지 181
 
1.8%
주 179
 
1.8%
민 179
 
1.8%
역 179
 
1.8%
Other values (84) 532
 
5.3%
ASCII
ValueCountFrequency (%)
+ 606
54.0%
474
42.2%
, 34
 
3.0%
p 2
 
0.2%
/ 2
 
0.2%
g 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%
None
ValueCountFrequency (%)
· 2
100.0%

이용대상상세조건(장애유형)
Text

MISSING 

Distinct67
Distinct (%)9.9%
Missing1470
Missing (%)68.5%
Memory size16.9 KiB
2024-05-10T20:38:46.430457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length76
Mean length19.543704
Min length1

Characters and Unicode

Total characters13192
Distinct characters111
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)4.3%

Sample

1st row발달장애인
2nd row등록장애인
3rd row등록장애인
4th row등록장애인
5th row등록장애인
ValueCountFrequency (%)
지적장애인+자폐성장애인 250
29.7%
지체장애인+뇌병변장애인+시각장애인+청각장애인+언어장애인+지적장애인+자폐성장애인+정신장애인+신장장애인+심장장애인+호흡기장애인+간장애인+안면장애인+장루·요루장애인+뇌전증장애인 74
 
8.8%
모든 70
 
8.3%
발달장애인 52
 
6.2%
유형 51
 
6.0%
장애유형 27
 
3.2%
지체장애인 25
 
3.0%
등록장애인 23
 
2.7%
시각장애인 21
 
2.5%
발달장애 18
 
2.1%
Other values (80) 232
27.5%
2024-05-10T20:38:47.274406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2274
17.2%
애 2049
15.5%
인 1963
14.9%
+ 1442
10.9%
지 528
 
4.0%
자 386
 
2.9%
적 379
 
2.9%
폐 375
 
2.8%
성 375
 
2.8%
뇌 209
 
1.6%
Other values (101) 3212
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11448
86.8%
Math Symbol 1442
 
10.9%
Space Separator 168
 
1.3%
Other Punctuation 107
 
0.8%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2274
19.9%
애 2049
17.9%
인 1963
17.1%
지 528
 
4.6%
자 386
 
3.4%
적 379
 
3.3%
폐 375
 
3.3%
성 375
 
3.3%
뇌 209
 
1.8%
각 188
 
1.6%
Other values (94) 2722
23.8%
Other Punctuation
ValueCountFrequency (%)
· 75
70.1%
, 32
29.9%
Math Symbol
ValueCountFrequency (%)
+ 1442
100.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11448
86.8%
Common 1744
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2274
19.9%
애 2049
17.9%
인 1963
17.1%
지 528
 
4.6%
자 386
 
3.4%
적 379
 
3.3%
폐 375
 
3.3%
성 375
 
3.3%
뇌 209
 
1.8%
각 188
 
1.6%
Other values (94) 2722
23.8%
Common
ValueCountFrequency (%)
+ 1442
82.7%
168
 
9.6%
· 75
 
4.3%
, 32
 
1.8%
) 11
 
0.6%
( 11
 
0.6%
- 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11448
86.8%
ASCII 1669
 
12.7%
None 75
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2274
19.9%
애 2049
17.9%
인 1963
17.1%
지 528
 
4.6%
자 386
 
3.4%
적 379
 
3.3%
폐 375
 
3.3%
성 375
 
3.3%
뇌 209
 
1.8%
각 188
 
1.6%
Other values (94) 2722
23.8%
ASCII
ValueCountFrequency (%)
+ 1442
86.4%
168
 
10.1%
, 32
 
1.9%
) 11
 
0.7%
( 11
 
0.7%
- 5
 
0.3%
None
ValueCountFrequency (%)
· 75
100.0%

이용대상상세조건(연령제한)
Text

MISSING 

Distinct349
Distinct (%)25.7%
Missing789
Missing (%)36.8%
Memory size16.9 KiB
2024-05-10T20:38:47.858913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length6.5479351
Min length1

Characters and Unicode

Total characters8879
Distinct characters149
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)15.5%

Sample

1st row없음
2nd row없음
3rd row없음
4th row없음
5th row없음
ValueCountFrequency (%)
성인 418
 
15.9%
이상 278
 
10.6%
만 256
 
9.8%
18세 143
 
5.5%
미만 100
 
3.8%
아동 92
 
3.5%
64
 
2.4%
20세 62
 
2.4%
이하 52
 
2.0%
장애인 44
 
1.7%
Other values (306) 1113
42.4%
2024-05-10T20:38:48.752210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1266
 
14.3%
세 716
 
8.1%
인 596
 
6.7%
만 529
 
6.0%
성 486
 
5.5%
이 419
 
4.7%
1 390
 
4.4%
상 350
 
3.9%
8 233
 
2.6%
~ 230
 
2.6%
Other values (139) 3664
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5643
63.6%
Decimal Number 1498
 
16.9%
Space Separator 1266
 
14.3%
Math Symbol 267
 
3.0%
Other Punctuation 67
 
0.8%
Open Punctuation 64
 
0.7%
Close Punctuation 64
 
0.7%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 716
 
12.7%
인 596
 
10.6%
만 529
 
9.4%
성 486
 
8.6%
이 419
 
7.4%
상 350
 
6.2%
아 175
 
3.1%
학 165
 
2.9%
동 157
 
2.8%
장 147
 
2.6%
Other values (120) 1903
33.7%
Decimal Number
ValueCountFrequency (%)
1 390
26.0%
8 233
15.6%
0 160
10.7%
2 155
 
10.3%
5 140
 
9.3%
6 123
 
8.2%
3 112
 
7.5%
4 90
 
6.0%
9 67
 
4.5%
7 28
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 51
76.1%
· 14
 
20.9%
. 2
 
3.0%
Math Symbol
ValueCountFrequency (%)
~ 230
86.1%
+ 37
 
13.9%
Space Separator
ValueCountFrequency (%)
1266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5643
63.6%
Common 3236
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 716
 
12.7%
인 596
 
10.6%
만 529
 
9.4%
성 486
 
8.6%
이 419
 
7.4%
상 350
 
6.2%
아 175
 
3.1%
학 165
 
2.9%
동 157
 
2.8%
장 147
 
2.6%
Other values (120) 1903
33.7%
Common
ValueCountFrequency (%)
1266
39.1%
1 390
 
12.1%
8 233
 
7.2%
~ 230
 
7.1%
0 160
 
4.9%
2 155
 
4.8%
5 140
 
4.3%
6 123
 
3.8%
3 112
 
3.5%
4 90
 
2.8%
Other values (9) 337
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5643
63.6%
ASCII 3222
36.3%
None 14
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1266
39.3%
1 390
 
12.1%
8 233
 
7.2%
~ 230
 
7.1%
0 160
 
5.0%
2 155
 
4.8%
5 140
 
4.3%
6 123
 
3.8%
3 112
 
3.5%
4 90
 
2.8%
Other values (8) 323
 
10.0%
Hangul
ValueCountFrequency (%)
세 716
 
12.7%
인 596
 
10.6%
만 529
 
9.4%
성 486
 
8.6%
이 419
 
7.4%
상 350
 
6.2%
아 175
 
3.1%
학 165
 
2.9%
동 157
 
2.8%
장 147
 
2.6%
Other values (120) 1903
33.7%
None
ValueCountFrequency (%)
· 14
100.0%

이용대상상세조건(기타조건)
Text

MISSING 

Distinct523
Distinct (%)32.1%
Missing515
Missing (%)24.0%
Memory size16.9 KiB
2024-05-10T20:38:49.389512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length67
Mean length13.99816
Min length2

Characters and Unicode

Total characters22817
Distinct characters306
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)21.7%

Sample

1st row여가활동이 필요한 자
2nd row독거, 식생활 필요한자
3rd row훈련실 이용자
4th row신체활동 가능한 자
5th row여가활동이 필요한 자
ValueCountFrequency (%)
거주 555
 
9.9%
장애인 524
 
9.4%
및 176
 
3.1%
기준 154
 
2.7%
우선 147
 
2.6%
용인시 137
 
2.4%
등록장애인 120
 
2.1%
성남시 119
 
2.1%
오산시 86
 
1.5%
수원시 85
 
1.5%
Other values (683) 3500
62.5%
2024-05-10T20:38:50.488843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3977
 
17.4%
인 1513
 
6.6%
장 1237
 
5.4%
애 1216
 
5.3%
주 1000
 
4.4%
시 782
 
3.4%
거 746
 
3.3%
자 438
 
1.9%
등 427
 
1.9%
록 357
 
1.6%
Other values (296) 11124
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17843
78.2%
Space Separator 3977
 
17.4%
Other Punctuation 286
 
1.3%
Close Punctuation 225
 
1.0%
Open Punctuation 225
 
1.0%
Math Symbol 129
 
0.6%
Decimal Number 115
 
0.5%
Uppercase Letter 9
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1513
 
8.5%
장 1237
 
6.9%
애 1216
 
6.8%
주 1000
 
5.6%
시 782
 
4.4%
거 746
 
4.2%
자 438
 
2.5%
등 427
 
2.4%
록 357
 
2.0%
지 333
 
1.9%
Other values (265) 9794
54.9%
Decimal Number
ValueCountFrequency (%)
1 31
27.0%
5 17
14.8%
3 16
13.9%
6 15
13.0%
0 12
 
10.4%
8 9
 
7.8%
9 7
 
6.1%
7 5
 
4.3%
2 2
 
1.7%
4 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 168
58.7%
/ 45
 
15.7%
· 34
 
11.9%
. 16
 
5.6%
: 12
 
4.2%
% 7
 
2.4%
? 4
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
g 1
20.0%
c 1
20.0%
m 1
20.0%
e 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 121
93.8%
~ 6
 
4.7%
= 2
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
66.7%
B 3
33.3%
Space Separator
ValueCountFrequency (%)
3977
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17843
78.2%
Common 4960
 
21.7%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1513
 
8.5%
장 1237
 
6.9%
애 1216
 
6.8%
주 1000
 
5.6%
시 782
 
4.4%
거 746
 
4.2%
자 438
 
2.5%
등 427
 
2.4%
록 357
 
2.0%
지 333
 
1.9%
Other values (265) 9794
54.9%
Common
ValueCountFrequency (%)
3977
80.2%
) 225
 
4.5%
( 225
 
4.5%
, 168
 
3.4%
+ 121
 
2.4%
/ 45
 
0.9%
· 34
 
0.7%
1 31
 
0.6%
5 17
 
0.3%
. 16
 
0.3%
Other values (14) 101
 
2.0%
Latin
ValueCountFrequency (%)
A 6
42.9%
B 3
21.4%
k 1
 
7.1%
g 1
 
7.1%
c 1
 
7.1%
m 1
 
7.1%
e 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17843
78.2%
ASCII 4940
 
21.7%
None 34
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3977
80.5%
) 225
 
4.6%
( 225
 
4.6%
, 168
 
3.4%
+ 121
 
2.4%
/ 45
 
0.9%
1 31
 
0.6%
5 17
 
0.3%
. 16
 
0.3%
3 16
 
0.3%
Other values (20) 99
 
2.0%
Hangul
ValueCountFrequency (%)
인 1513
 
8.5%
장 1237
 
6.9%
애 1216
 
6.8%
주 1000
 
5.6%
시 782
 
4.4%
거 746
 
4.2%
자 438
 
2.5%
등 427
 
2.4%
록 357
 
2.0%
지 333
 
1.9%
Other values (265) 9794
54.9%
None
ValueCountFrequency (%)
· 34
100.0%

구분
Text

Distinct137
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-10T20:38:50.940823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length5.9365967
Min length2

Characters and Unicode

Total characters12734
Distinct characters174
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)2.1%

Sample

1st row낮활동 및 행동지원
2nd row사례관리 및 권익옹호
3rd row낮활동 및 행동지원
4th row낮활동 및 행동지원
5th row낮활동 및 행동지원
ValueCountFrequency (%)
사회·심리재활 284
 
11.8%
기타 273
 
11.3%
교육재활 242
 
10.0%
지역사회중심재활 236
 
9.8%
직업재활 191
 
7.9%
의료재활 174
 
7.2%
및 72
 
3.0%
의료재활+사회·심리재활 47
 
1.9%
장애인 46
 
1.9%
사회재활 38
 
1.6%
Other values (155) 809
33.5%
2024-05-10T20:38:51.836297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
활 1549
 
12.2%
재 1538
 
12.1%
사 888
 
7.0%
회 769
 
6.0%
심 699
 
5.5%
지 535
 
4.2%
리 466
 
3.7%
육 409
 
3.2%
교 401
 
3.1%
· 397
 
3.1%
Other values (164) 5083
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11857
93.1%
Other Punctuation 410
 
3.2%
Space Separator 267
 
2.1%
Math Symbol 171
 
1.3%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Uppercase Letter 4
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
활 1549
 
13.1%
재 1538
 
13.0%
사 888
 
7.5%
회 769
 
6.5%
심 699
 
5.9%
지 535
 
4.5%
리 466
 
3.9%
육 409
 
3.4%
교 401
 
3.4%
기 336
 
2.8%
Other values (151) 4267
36.0%
Other Punctuation
ValueCountFrequency (%)
· 397
96.8%
, 10
 
2.4%
/ 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
C 1
25.0%
B 1
25.0%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
4 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
267
100.0%
Math Symbol
ValueCountFrequency (%)
+ 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11857
93.1%
Common 873
 
6.9%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
활 1549
 
13.1%
재 1538
 
13.0%
사 888
 
7.5%
회 769
 
6.5%
심 699
 
5.9%
지 535
 
4.5%
리 466
 
3.9%
육 409
 
3.4%
교 401
 
3.4%
기 336
 
2.8%
Other values (151) 4267
36.0%
Common
ValueCountFrequency (%)
· 397
45.5%
267
30.6%
+ 171
19.6%
( 11
 
1.3%
) 11
 
1.3%
, 10
 
1.1%
/ 3
 
0.3%
7 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
S 2
50.0%
C 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11857
93.1%
ASCII 480
 
3.8%
None 397
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
활 1549
 
13.1%
재 1538
 
13.0%
사 888
 
7.5%
회 769
 
6.5%
심 699
 
5.9%
지 535
 
4.5%
리 466
 
3.9%
육 409
 
3.4%
교 401
 
3.4%
기 336
 
2.8%
Other values (151) 4267
36.0%
None
ValueCountFrequency (%)
· 397
100.0%
ASCII
ValueCountFrequency (%)
267
55.6%
+ 171
35.6%
( 11
 
2.3%
) 11
 
2.3%
, 10
 
2.1%
/ 3
 
0.6%
S 2
 
0.4%
7 1
 
0.2%
C 1
 
0.2%
B 1
 
0.2%
Other values (2) 2
 
0.4%

상세구분
Text

MISSING 

Distinct466
Distinct (%)33.5%
Missing754
Missing (%)35.2%
Memory size16.9 KiB
2024-05-10T20:38:52.316619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length36
Mean length6.2365205
Min length1

Characters and Unicode

Total characters8675
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)21.4%

Sample

1st row여가교실
2nd row독립적 권익옹호
3rd row여가교실
4th row여가교실
5th row여가교실
ValueCountFrequency (%)
평생교육 79
 
4.4%
및 78
 
4.3%
가족지원 54
 
3.0%
프로그램 45
 
2.5%
40
 
2.2%
언어치료 29
 
1.6%
권익옹호 28
 
1.5%
직업지원 27
 
1.5%
직업훈련 27
 
1.5%
물리치료 23
 
1.3%
Other values (529) 1378
76.2%
2024-05-10T20:38:53.651079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 433
 
5.0%
417
 
4.8%
원 360
 
4.1%
교 225
 
2.6%
육 225
 
2.6%
료 199
 
2.3%
치 195
 
2.2%
가 184
 
2.1%
생 175
 
2.0%
인 174
 
2.0%
Other values (327) 6088
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7997
92.2%
Space Separator 417
 
4.8%
Close Punctuation 59
 
0.7%
Other Punctuation 59
 
0.7%
Open Punctuation 47
 
0.5%
Dash Punctuation 30
 
0.3%
Lowercase Letter 23
 
0.3%
Uppercase Letter 20
 
0.2%
Math Symbol 13
 
0.1%
Decimal Number 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 433
 
5.4%
원 360
 
4.5%
교 225
 
2.8%
육 225
 
2.8%
료 199
 
2.5%
치 195
 
2.4%
가 184
 
2.3%
생 175
 
2.2%
인 174
 
2.2%
업 173
 
2.2%
Other values (295) 5654
70.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
l 3
13.0%
t 3
13.0%
r 3
13.0%
n 2
 
8.7%
o 2
 
8.7%
u 2
 
8.7%
s 2
 
8.7%
a 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 32
54.2%
. 9
 
15.3%
: 9
 
15.3%
/ 4
 
6.8%
· 3
 
5.1%
' 2
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 9
45.0%
B 4
20.0%
P 2
 
10.0%
V 2
 
10.0%
C 2
 
10.0%
W 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
0 2
20.0%
2 2
20.0%
3 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
Space Separator
ValueCountFrequency (%)
417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7997
92.2%
Common 635
 
7.3%
Latin 43
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 433
 
5.4%
원 360
 
4.5%
교 225
 
2.8%
육 225
 
2.8%
료 199
 
2.5%
치 195
 
2.4%
가 184
 
2.3%
생 175
 
2.2%
인 174
 
2.2%
업 173
 
2.2%
Other values (295) 5654
70.7%
Common
ValueCountFrequency (%)
417
65.7%
) 59
 
9.3%
( 47
 
7.4%
, 32
 
5.0%
- 30
 
4.7%
+ 13
 
2.0%
. 9
 
1.4%
: 9
 
1.4%
/ 4
 
0.6%
· 3
 
0.5%
Other values (7) 12
 
1.9%
Latin
ValueCountFrequency (%)
A 9
20.9%
e 5
11.6%
B 4
9.3%
l 3
 
7.0%
t 3
 
7.0%
r 3
 
7.0%
n 2
 
4.7%
o 2
 
4.7%
u 2
 
4.7%
P 2
 
4.7%
Other values (5) 8
18.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7997
92.2%
ASCII 675
 
7.8%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 433
 
5.4%
원 360
 
4.5%
교 225
 
2.8%
육 225
 
2.8%
료 199
 
2.5%
치 195
 
2.4%
가 184
 
2.3%
생 175
 
2.2%
인 174
 
2.2%
업 173
 
2.2%
Other values (295) 5654
70.7%
ASCII
ValueCountFrequency (%)
417
61.8%
) 59
 
8.7%
( 47
 
7.0%
, 32
 
4.7%
- 30
 
4.4%
+ 13
 
1.9%
A 9
 
1.3%
. 9
 
1.3%
: 9
 
1.3%
e 5
 
0.7%
Other values (21) 45
 
6.7%
None
ValueCountFrequency (%)
· 3
100.0%

프로그램명
Text

Distinct1542
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-10T20:38:54.428920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length8.013986
Min length2

Characters and Unicode

Total characters17190
Distinct characters609
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1285 ?
Unique (%)59.9%

Sample

1st row독서활동
2nd row식생활개선
3rd row태권도교실
4th row에어로빅교실
5th row자전거교실
ValueCountFrequency (%)
및 39
 
1.2%
장애인 28
 
0.9%
특수체육프로그램 23
 
0.7%
프로그램 22
 
0.7%
통합체육프로그램 21
 
0.7%
직업평가 19
 
0.6%
직업적응훈련 19
 
0.6%
취업 19
 
0.6%
지원 18
 
0.6%
찾아가는 18
 
0.6%
Other values (1822) 2935
92.9%
2024-05-10T20:38:55.855854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1025
 
6.0%
교 477
 
2.8%
지 385
 
2.2%
업 337
 
2.0%
인 337
 
2.0%
원 330
 
1.9%
사 301
 
1.8%
동 301
 
1.8%
실 292
 
1.7%
육 274
 
1.6%
Other values (599) 13131
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15064
87.6%
Space Separator 1025
 
6.0%
Open Punctuation 211
 
1.2%
Close Punctuation 211
 
1.2%
Other Punctuation 206
 
1.2%
Uppercase Letter 193
 
1.1%
Lowercase Letter 166
 
1.0%
Decimal Number 52
 
0.3%
Dash Punctuation 31
 
0.2%
Math Symbol 12
 
0.1%
Other values (3) 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 477
 
3.2%
지 385
 
2.6%
업 337
 
2.2%
인 337
 
2.2%
원 330
 
2.2%
사 301
 
2.0%
동 301
 
2.0%
실 292
 
1.9%
육 274
 
1.8%
장 271
 
1.8%
Other values (525) 11759
78.1%
Uppercase Letter
ValueCountFrequency (%)
A 41
21.2%
B 17
 
8.8%
T 14
 
7.3%
D 13
 
6.7%
I 13
 
6.7%
S 11
 
5.7%
P 11
 
5.7%
C 10
 
5.2%
U 10
 
5.2%
O 8
 
4.1%
Other values (14) 45
23.3%
Lowercase Letter
ValueCountFrequency (%)
o 22
13.3%
e 21
12.7%
p 15
 
9.0%
r 14
 
8.4%
t 11
 
6.6%
u 9
 
5.4%
a 8
 
4.8%
i 8
 
4.8%
n 7
 
4.2%
g 6
 
3.6%
Other values (11) 45
27.1%
Other Punctuation
ValueCountFrequency (%)
' 96
46.6%
, 52
25.2%
/ 14
 
6.8%
. 13
 
6.3%
! 11
 
5.3%
" 10
 
4.9%
: 6
 
2.9%
· 3
 
1.5%
& 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 19
36.5%
1 17
32.7%
3 8
15.4%
0 3
 
5.8%
5 3
 
5.8%
4 1
 
1.9%
6 1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 190
90.0%
[ 21
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 190
90.0%
] 21
 
10.0%
Math Symbol
ValueCountFrequency (%)
+ 11
91.7%
~ 1
 
8.3%
Final Punctuation
ValueCountFrequency (%)
’ 9
90.0%
” 1
 
10.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1025
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15060
87.6%
Common 1767
 
10.3%
Latin 359
 
2.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 477
 
3.2%
지 385
 
2.6%
업 337
 
2.2%
인 337
 
2.2%
원 330
 
2.2%
사 301
 
2.0%
동 301
 
2.0%
실 292
 
1.9%
육 274
 
1.8%
장 271
 
1.8%
Other values (522) 11755
78.1%
Latin
ValueCountFrequency (%)
A 41
 
11.4%
o 22
 
6.1%
e 21
 
5.8%
B 17
 
4.7%
p 15
 
4.2%
T 14
 
3.9%
r 14
 
3.9%
D 13
 
3.6%
I 13
 
3.6%
S 11
 
3.1%
Other values (35) 178
49.6%
Common
ValueCountFrequency (%)
1025
58.0%
( 190
 
10.8%
) 190
 
10.8%
' 96
 
5.4%
, 52
 
2.9%
- 31
 
1.8%
[ 21
 
1.2%
] 21
 
1.2%
2 19
 
1.1%
1 17
 
1.0%
Other values (19) 105
 
5.9%
Han
ValueCountFrequency (%)
愛 2
50.0%
心 1
25.0%
美 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15060
87.6%
ASCII 2109
 
12.3%
Punctuation 14
 
0.1%
CJK 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1025
48.6%
( 190
 
9.0%
) 190
 
9.0%
' 96
 
4.6%
, 52
 
2.5%
A 41
 
1.9%
- 31
 
1.5%
o 22
 
1.0%
[ 21
 
1.0%
] 21
 
1.0%
Other values (59) 420
19.9%
Hangul
ValueCountFrequency (%)
교 477
 
3.2%
지 385
 
2.6%
업 337
 
2.2%
인 337
 
2.2%
원 330
 
2.2%
사 301
 
2.0%
동 301
 
2.0%
실 292
 
1.9%
육 274
 
1.8%
장 271
 
1.8%
Other values (522) 11755
78.1%
Punctuation
ValueCountFrequency (%)
’ 9
64.3%
‘ 3
 
21.4%
” 1
 
7.1%
“ 1
 
7.1%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
愛 2
50.0%
心 1
25.0%
美 1
25.0%

프로그램내용
Text

Distinct1936
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-10T20:38:56.738239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length240
Median length78
Mean length32.169697
Min length2

Characters and Unicode

Total characters69004
Distinct characters712
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1749 ?
Unique (%)81.5%

Sample

1st row구연동화 및 독후활동
2nd row식습관 개선을 위한 요리활동
3rd row훈련실 이용자 여가 제공
4th row노래에 맞춰 에어로빅, 스트레칭 진행
5th row대회참여, 캠프 등 자전거 활동
ValueCountFrequency (%)
및 868
 
5.2%
통한 347
 
2.1%
지원 303
 
1.8%
등 248
 
1.5%
위한 226
 
1.4%
향상 221
 
1.3%
프로그램 214
 
1.3%
다양한 198
 
1.2%
제공 159
 
1.0%
진행 146
 
0.9%
Other values (5277) 13680
82.4%
2024-05-10T20:38:58.125773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14563
 
21.1%
, 1387
 
2.0%
지 1163
 
1.7%
한 1144
 
1.7%
활 1059
 
1.5%
기 1033
 
1.5%
인 1025
 
1.5%
동 1006
 
1.5%
을 959
 
1.4%
장 905
 
1.3%
Other values (702) 44760
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51896
75.2%
Space Separator 14563
 
21.1%
Other Punctuation 1649
 
2.4%
Close Punctuation 227
 
0.3%
Open Punctuation 224
 
0.3%
Decimal Number 162
 
0.2%
Uppercase Letter 146
 
0.2%
Math Symbol 92
 
0.1%
Lowercase Letter 28
 
< 0.1%
Dash Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1163
 
2.2%
한 1144
 
2.2%
활 1059
 
2.0%
기 1033
 
2.0%
인 1025
 
2.0%
동 1006
 
1.9%
을 959
 
1.8%
장 905
 
1.7%
상 879
 
1.7%
및 872
 
1.7%
Other values (633) 41851
80.6%
Uppercase Letter
ValueCountFrequency (%)
A 32
21.9%
T 16
11.0%
I 14
9.6%
B 10
 
6.8%
S 9
 
6.2%
P 9
 
6.2%
R 7
 
4.8%
Q 6
 
4.1%
C 6
 
4.1%
D 6
 
4.1%
Other values (14) 31
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
p 3
10.7%
a 3
10.7%
l 3
10.7%
c 2
 
7.1%
i 2
 
7.1%
r 1
 
3.6%
v 1
 
3.6%
y 1
 
3.6%
u 1
 
3.6%
Other values (7) 7
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1387
84.1%
· 111
 
6.7%
/ 61
 
3.7%
. 56
 
3.4%
: 23
 
1.4%
' 6
 
0.4%
% 2
 
0.1%
& 1
 
0.1%
? 1
 
0.1%
* 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 65
40.1%
2 28
17.3%
0 18
 
11.1%
3 16
 
9.9%
4 10
 
6.2%
5 9
 
5.6%
6 6
 
3.7%
8 5
 
3.1%
9 4
 
2.5%
7 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 206
90.7%
] 21
 
9.3%
Open Punctuation
ValueCountFrequency (%)
( 203
90.6%
[ 21
 
9.4%
Math Symbol
ValueCountFrequency (%)
+ 88
95.7%
~ 4
 
4.3%
Space Separator
ValueCountFrequency (%)
14563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51896
75.2%
Common 16934
 
24.5%
Latin 174
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1163
 
2.2%
한 1144
 
2.2%
활 1059
 
2.0%
기 1033
 
2.0%
인 1025
 
2.0%
동 1006
 
1.9%
을 959
 
1.8%
장 905
 
1.7%
상 879
 
1.7%
및 872
 
1.7%
Other values (633) 41851
80.6%
Latin
ValueCountFrequency (%)
A 32
18.4%
T 16
 
9.2%
I 14
 
8.0%
B 10
 
5.7%
S 9
 
5.2%
P 9
 
5.2%
R 7
 
4.0%
Q 6
 
3.4%
C 6
 
3.4%
D 6
 
3.4%
Other values (31) 59
33.9%
Common
ValueCountFrequency (%)
14563
86.0%
, 1387
 
8.2%
) 206
 
1.2%
( 203
 
1.2%
· 111
 
0.7%
+ 88
 
0.5%
1 65
 
0.4%
/ 61
 
0.4%
. 56
 
0.3%
2 28
 
0.2%
Other values (18) 166
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51887
75.2%
ASCII 16997
 
24.6%
None 111
 
0.2%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14563
85.7%
, 1387
 
8.2%
) 206
 
1.2%
( 203
 
1.2%
+ 88
 
0.5%
1 65
 
0.4%
/ 61
 
0.4%
. 56
 
0.3%
A 32
 
0.2%
2 28
 
0.2%
Other values (58) 308
 
1.8%
Hangul
ValueCountFrequency (%)
지 1163
 
2.2%
한 1144
 
2.2%
활 1059
 
2.0%
기 1033
 
2.0%
인 1025
 
2.0%
동 1006
 
1.9%
을 959
 
1.8%
장 905
 
1.7%
상 879
 
1.7%
및 872
 
1.7%
Other values (632) 41842
80.6%
None
ValueCountFrequency (%)
· 111
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

이용시간
Text

MISSING 

Distinct793
Distinct (%)37.6%
Missing35
Missing (%)1.6%
Memory size16.9 KiB
2024-05-10T20:38:58.705058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length56
Mean length9.3876777
Min length1

Characters and Unicode

Total characters19808
Distinct characters194
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)28.4%

Sample

1st row금 10:30~11:30
2nd row수, 금 13:30~17:00
3rd row월 10:30~11:30
4th row월 13:00~14:00
5th row화 10:00~12:00
ValueCountFrequency (%)
주 397
 
8.8%
연중 356
 
7.9%
1회 290
 
6.4%
연 207
 
4.6%
월 150
 
3.3%
148
 
3.3%
2회 130
 
2.9%
매주 97
 
2.1%
상시 72
 
1.6%
주1회 66
 
1.5%
Other values (653) 2607
57.7%
2024-05-10T20:38:59.852698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2789
14.1%
2417
 
12.2%
1 2300
 
11.6%
: 1304
 
6.6%
회 1130
 
5.7%
~ 981
 
5.0%
주 725
 
3.7%
월 720
 
3.6%
연 672
 
3.4%
2 623
 
3.1%
Other values (184) 6147
31.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7575
38.2%
Other Letter 6252
31.6%
Space Separator 2417
 
12.2%
Other Punctuation 1968
 
9.9%
Math Symbol 1002
 
5.1%
Close Punctuation 271
 
1.4%
Open Punctuation 271
 
1.4%
Dash Punctuation 52
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 1130
18.1%
주 725
11.6%
월 720
11.5%
연 672
10.7%
중 407
 
6.5%
시 223
 
3.6%
일 217
 
3.5%
수 207
 
3.3%
요 173
 
2.8%
금 170
 
2.7%
Other values (162) 1608
25.7%
Decimal Number
ValueCountFrequency (%)
0 2789
36.8%
1 2300
30.4%
2 623
 
8.2%
3 566
 
7.5%
6 264
 
3.5%
4 249
 
3.3%
5 248
 
3.3%
8 196
 
2.6%
7 191
 
2.5%
9 149
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 1304
66.3%
, 472
 
24.0%
/ 143
 
7.3%
. 39
 
2.0%
· 9
 
0.5%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 981
97.9%
+ 21
 
2.1%
Space Separator
ValueCountFrequency (%)
2417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13556
68.4%
Hangul 6252
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 1130
18.1%
주 725
11.6%
월 720
11.5%
연 672
10.7%
중 407
 
6.5%
시 223
 
3.6%
일 217
 
3.5%
수 207
 
3.3%
요 173
 
2.8%
금 170
 
2.7%
Other values (162) 1608
25.7%
Common
ValueCountFrequency (%)
0 2789
20.6%
2417
17.8%
1 2300
17.0%
: 1304
9.6%
~ 981
 
7.2%
2 623
 
4.6%
3 566
 
4.2%
, 472
 
3.5%
) 271
 
2.0%
( 271
 
2.0%
Other values (12) 1562
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13547
68.4%
Hangul 6252
31.6%
None 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2789
20.6%
2417
17.8%
1 2300
17.0%
: 1304
9.6%
~ 981
 
7.2%
2 623
 
4.6%
3 566
 
4.2%
, 472
 
3.5%
) 271
 
2.0%
( 271
 
2.0%
Other values (11) 1553
11.5%
Hangul
ValueCountFrequency (%)
회 1130
18.1%
주 725
11.6%
월 720
11.5%
연 672
10.7%
중 407
 
6.5%
시 223
 
3.6%
일 217
 
3.5%
수 207
 
3.3%
요 173
 
2.8%
금 170
 
2.7%
Other values (162) 1608
25.7%
None
ValueCountFrequency (%)
· 9
100.0%

이용금액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct71
Distinct (%)4.0%
Missing354
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean20334.841
Minimum0
Maximum2200000
Zeros746
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-10T20:39:00.224034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7000
Q320000
95-th percentile80000
Maximum2200000
Range2200000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation78982.972
Coefficient of variation (CV)3.8841205
Kurtosis592.48564
Mean20334.841
Median Absolute Deviation (MAD)7000
Skewness22.28927
Sum36419700
Variance6.2383098 × 109
MonotonicityNot monotonic
2024-05-10T20:39:00.591958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 746
34.8%
10000 226
 
10.5%
30000 110
 
5.1%
20000 99
 
4.6%
5000 89
 
4.1%
40000 66
 
3.1%
15000 53
 
2.5%
50000 41
 
1.9%
12000 38
 
1.8%
7000 34
 
1.6%
Other values (61) 289
 
13.5%
(Missing) 354
16.5%
ValueCountFrequency (%)
0 746
34.8%
500 1
 
< 0.1%
1500 1
 
< 0.1%
2000 3
 
0.1%
2500 4
 
0.2%
3000 15
 
0.7%
3500 1
 
< 0.1%
5000 89
 
4.1%
6000 9
 
0.4%
6500 2
 
0.1%
ValueCountFrequency (%)
2200000 1
< 0.1%
2100000 1
< 0.1%
400000 1
< 0.1%
300000 2
0.1%
270000 2
0.1%
250000 1
< 0.1%
240000 1
< 0.1%
230000 1
< 0.1%
220000 1
< 0.1%
210000 1
< 0.1%

이용금액산정기준
Text

MISSING 

Distinct60
Distinct (%)5.3%
Missing1007
Missing (%)46.9%
Memory size16.9 KiB
2024-05-10T20:39:00.993462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length31
Mean length3.9753954
Min length1

Characters and Unicode

Total characters4524
Distinct characters101
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)2.6%

Sample

1st row1개월
2nd row1개월
3rd row1개월
4th row1개월
5th row1개월
ValueCountFrequency (%)
1회 387
26.1%
1개월 360
24.3%
월 126
 
8.5%
2018년 64
 
4.3%
장애인복지관 64
 
4.3%
이용료 64
 
4.3%
산정기준 64
 
4.3%
권장(안)에 64
 
4.3%
의거 64
 
4.3%
회 61
 
4.1%
Other values (66) 162
10.9%
2024-05-10T20:39:01.692798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 868
19.2%
월 517
 
11.4%
회 491
 
10.9%
개 370
 
8.2%
342
 
7.6%
장 132
 
2.9%
0 99
 
2.2%
2 88
 
1.9%
기 80
 
1.8%
( 74
 
1.6%
Other values (91) 1463
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2847
62.9%
Decimal Number 1157
25.6%
Space Separator 342
 
7.6%
Open Punctuation 74
 
1.6%
Close Punctuation 74
 
1.6%
Dash Punctuation 18
 
0.4%
Other Punctuation 10
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 517
18.2%
회 491
17.2%
개 370
13.0%
장 132
 
4.6%
기 80
 
2.8%
인 74
 
2.6%
정 70
 
2.5%
에 69
 
2.4%
애 68
 
2.4%
년 66
 
2.3%
Other values (73) 910
32.0%
Decimal Number
ValueCountFrequency (%)
1 868
75.0%
0 99
 
8.6%
2 88
 
7.6%
8 68
 
5.9%
3 13
 
1.1%
5 11
 
1.0%
4 6
 
0.5%
6 3
 
0.3%
7 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
% 4
40.0%
/ 2
20.0%
. 2
20.0%
, 2
20.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2847
62.9%
Common 1677
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 517
18.2%
회 491
17.2%
개 370
13.0%
장 132
 
4.6%
기 80
 
2.8%
인 74
 
2.6%
정 70
 
2.5%
에 69
 
2.4%
애 68
 
2.4%
년 66
 
2.3%
Other values (73) 910
32.0%
Common
ValueCountFrequency (%)
1 868
51.8%
342
 
20.4%
0 99
 
5.9%
2 88
 
5.2%
( 74
 
4.4%
) 74
 
4.4%
8 68
 
4.1%
- 18
 
1.1%
3 13
 
0.8%
5 11
 
0.7%
Other values (8) 22
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2847
62.9%
ASCII 1677
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 868
51.8%
342
 
20.4%
0 99
 
5.9%
2 88
 
5.2%
( 74
 
4.4%
) 74
 
4.4%
8 68
 
4.1%
- 18
 
1.1%
3 13
 
0.8%
5 11
 
0.7%
Other values (8) 22
 
1.3%
Hangul
ValueCountFrequency (%)
월 517
18.2%
회 491
17.2%
개 370
13.0%
장 132
 
4.6%
기 80
 
2.8%
인 74
 
2.6%
정 70
 
2.5%
에 69
 
2.4%
애 68
 
2.4%
년 66
 
2.3%
Other values (73) 910
32.0%

부가비용
Categorical

IMBALANCE 

Distinct48
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
<NA>
1884 
0
 
100
재료비
 
30
-
 
21
재료비 별도
 
17
Other values (43)
 
93

Length

Max length44
Median length4
Mean length4.0335664
Min length1

Unique

Unique23 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1884
87.8%
0 100
 
4.7%
재료비 30
 
1.4%
- 21
 
1.0%
재료비 별도 17
 
0.8%
교재비 15
 
0.7%
평가비 6
 
0.3%
식대 5
 
0.2%
진단비 20,000원 5
 
0.2%
식비별도 4
 
0.2%
Other values (38) 58
 
2.7%

Length

2024-05-10T20:39:02.214032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1884
84.1%
0 100
 
4.5%
재료비 47
 
2.1%
별도 27
 
1.2%
23
 
1.0%
교재비 15
 
0.7%
식대비 7
 
0.3%
평가비 6
 
0.3%
식대 6
 
0.3%
식비 6
 
0.3%
Other values (69) 120
 
5.4%

소재지도로명주소
Categorical

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
경기도 양주시 고삼로 43번길 29(삼숭동)
164 
경기도 성남시 분당구 야탑로 227
154 
경기도 하남시 미사강변남로 56
 
118
경기도 이천시 신둔면 석동로 3
 
102
경기도 동두천시 상패로 64
 
100
Other values (39)
1507 

Length

Max length27
Median length22
Mean length18.993473
Min length14

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st row경기도 가평군 가평읍 석봉로 191번길 65-19
2nd row경기도 가평군 가평읍 석봉로 191번길 65-19
3rd row경기도 가평군 가평읍 석봉로 191번길 65-19
4th row경기도 가평군 가평읍 석봉로 191번길 65-19
5th row경기도 가평군 가평읍 석봉로 191번길 65-19

Common Values

ValueCountFrequency (%)
경기도 양주시 고삼로 43번길 29(삼숭동) 164
 
7.6%
경기도 성남시 분당구 야탑로 227 154
 
7.2%
경기도 하남시 미사강변남로 56 118
 
5.5%
경기도 이천시 신둔면 석동로 3 102
 
4.8%
경기도 동두천시 상패로 64 100
 
4.7%
경기도 평택시 팽성읍 노와길 447 97
 
4.5%
경기도 용인시 기흥구 용구대로2469번길 94 92
 
4.3%
경기도 수원시 영통구 창룡대로 255 88
 
4.1%
경기도 군포시 청백리길 18 86
 
4.0%
경기도 용인시 처인구 경안천로 318 80
 
3.7%
Other values (34) 1064
49.6%

Length

2024-05-10T20:39:02.620959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2145
 
22.0%
용인시 241
 
2.5%
성남시 223
 
2.3%
평택시 175
 
1.8%
수원시 165
 
1.7%
29(삼숭동 164
 
1.7%
43번길 164
 
1.7%
양주시 164
 
1.7%
고삼로 164
 
1.7%
분당구 154
 
1.6%
Other values (114) 5994
61.5%

소재지지번주소
Categorical

Distinct44
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
경기도 양주시 삼숭동 640-30
164 
경기도 성남시 분당구 야탑동 171번지
154 
경기도 하남시 풍산동 산58-5번지
 
118
경기도 이천시 신둔면 지석리 138-13번지
 
102
경기도 동두천시 상패동 54번지
 
100
Other values (39)
1507 

Length

Max length35
Median length24
Mean length20.492308
Min length15

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st row경기도 가평군 가평읍 읍내리 861번지
2nd row경기도 가평군 가평읍 읍내리 861번지
3rd row경기도 가평군 가평읍 읍내리 861번지
4th row경기도 가평군 가평읍 읍내리 861번지
5th row경기도 가평군 가평읍 읍내리 861번지

Common Values

ValueCountFrequency (%)
경기도 양주시 삼숭동 640-30 164
 
7.6%
경기도 성남시 분당구 야탑동 171번지 154
 
7.2%
경기도 하남시 풍산동 산58-5번지 118
 
5.5%
경기도 이천시 신둔면 지석리 138-13번지 102
 
4.8%
경기도 동두천시 상패동 54번지 100
 
4.7%
경기도 평택시 팽성읍 남산리 3-6번지 97
 
4.5%
경기도 용인시 기흥구 보정동 1097-8번지 92
 
4.3%
경기도 수원시 영통구 이의동 1088-13번지 88
 
4.1%
경기도 군포시 금정동 844-1번지 86
 
4.0%
경기도 용인시 처인구 고림동 820-154번지 80
 
3.7%
Other values (34) 1064
49.6%

Length

2024-05-10T20:39:02.936806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2145
 
22.4%
용인시 241
 
2.5%
성남시 223
 
2.3%
평택시 175
 
1.8%
수원시 165
 
1.7%
640-30 164
 
1.7%
삼숭동 164
 
1.7%
양주시 164
 
1.7%
분당구 154
 
1.6%
야탑동 154
 
1.6%
Other values (115) 5840
60.9%

대표전화번호
Text

Distinct111
Distinct (%)5.2%
Missing2
Missing (%)0.1%
Memory size16.9 KiB
2024-05-10T20:39:03.412317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.076062
Min length12

Characters and Unicode

Total characters25879
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

Unique40 ?
Unique (%)1.9%

Sample

1st row031-581-9785
2nd row031-581-9785
3rd row031-581-9785
4th row031-581-9785
5th row031-581-9785
ValueCountFrequency (%)
031-725-9500 154
 
7.2%
031-794-2266 118
 
5.5%
031-867-0080 103
 
4.8%
031-637-6720 102
 
4.8%
031-692-2362 97
 
4.5%
031-928-4090 94
 
4.4%
031-895-3200 92
 
4.3%
031-207-1501 88
 
4.1%
031-320-4800 80
 
3.7%
031-893-2100 77
 
3.6%
Other values (101) 1138
53.1%
2024-05-10T20:39:04.337326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5591
21.6%
- 4286
16.6%
3 3330
12.9%
1 2838
11.0%
2 2174
 
8.4%
7 1597
 
6.2%
9 1564
 
6.0%
8 1399
 
5.4%
5 1287
 
5.0%
6 1164
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21593
83.4%
Dash Punctuation 4286
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5591
25.9%
3 3330
15.4%
1 2838
13.1%
2 2174
 
10.1%
7 1597
 
7.4%
9 1564
 
7.2%
8 1399
 
6.5%
5 1287
 
6.0%
6 1164
 
5.4%
4 649
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 4286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25879
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5591
21.6%
- 4286
16.6%
3 3330
12.9%
1 2838
11.0%
2 2174
 
8.4%
7 1597
 
6.2%
9 1564
 
6.0%
8 1399
 
5.4%
5 1287
 
5.0%
6 1164
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5591
21.6%
- 4286
16.6%
3 3330
12.9%
1 2838
11.0%
2 2174
 
8.4%
7 1597
 
6.2%
9 1564
 
6.0%
8 1399
 
5.4%
5 1287
 
5.0%
6 1164
 
4.5%

사업자등록번호
Categorical

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
<NA>
985 
N
327 
1268212949
109 
1278220461
103 
1238212839
 
86
Other values (10)
535 

Length

Max length10
Median length4
Mean length5.8727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2758200309
2nd row2758200309
3rd row2758200309
4th row2758200309
5th row2758200309

Common Values

ValueCountFrequency (%)
<NA> 985
45.9%
N 327
 
15.2%
1268212949 109
 
5.1%
1278220461 103
 
4.8%
1238212839 86
 
4.0%
1388266579 78
 
3.6%
1748266779 77
 
3.6%
1408200037 68
 
3.2%
1288205935 68
 
3.2%
1278008750 64
 
3.0%
Other values (5) 180
 
8.4%

Length

2024-05-10T20:39:04.749255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 985
45.9%
n 327
 
15.2%
1268212949 109
 
5.1%
1278220461 103
 
4.8%
1238212839 86
 
4.0%
1388266579 78
 
3.6%
1748266779 77
 
3.6%
1408200037 68
 
3.2%
1288205935 68
 
3.2%
1278008750 64
 
3.0%
Other values (5) 180
 
8.4%

추가연락처번호정보
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
<NA>
1893 
031-867-0080
 
103
031-773-9867
 
57
031-399-1084
 
36
031-673-0558
 
27
Other values (8)
 
29

Length

Max length13
Median length4
Mean length4.9407925
Min length4

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1893
88.3%
031-867-0080 103
 
4.8%
031-773-9867 57
 
2.7%
031-399-1084 36
 
1.7%
031-673-0558 27
 
1.3%
031-467-7312 20
 
0.9%
02-2185-8025 3
 
0.1%
02-2185-8018 1
 
< 0.1%
02-2185-8024 1
 
< 0.1%
032-670-1218 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2024-05-10T20:39:05.135697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1893
88.3%
031-867-0080 103
 
4.8%
031-773-9867 57
 
2.7%
031-399-1084 36
 
1.7%
031-673-0558 27
 
1.3%
031-467-7312 20
 
0.9%
02-2185-8025 3
 
0.1%
02-2185-8018 1
 
< 0.1%
02-2185-8024 1
 
< 0.1%
032-670-1218 1
 
< 0.1%
Other values (3) 3
 
0.1%

정제우편번호
Real number (ℝ)

Distinct37
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14486.6
Minimum10086
Maximum18588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-10T20:39:05.480521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10806
Q112236
median13828
Q316905
95-th percentile17998
Maximum18588
Range8502
Interquartile range (IQR)4669

Descriptive statistics

Standard deviation2495.8385
Coefficient of variation (CV)0.17228601
Kurtosis-1.4292902
Mean14486.6
Median Absolute Deviation (MAD)2343
Skewness-0.02949485
Sum31073757
Variance6229209.8
MonotonicityNot monotonic
2024-05-10T20:39:05.787524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11485 164
 
7.6%
13508 154
 
7.2%
12919 118
 
5.5%
11338 103
 
4.8%
17301 102
 
4.8%
17998 97
 
4.5%
16905 92
 
4.3%
16227 88
 
4.1%
15829 86
 
4.0%
17038 80
 
3.7%
Other values (27) 1061
49.5%
ValueCountFrequency (%)
10086 66
3.1%
10806 53
 
2.5%
10893 9
 
0.4%
10926 6
 
0.3%
11338 103
4.8%
11485 164
7.6%
11804 64
 
3.0%
11940 47
 
2.2%
12236 61
 
2.8%
12414 26
 
1.2%
ValueCountFrequency (%)
18588 1
 
< 0.1%
18489 1
 
< 0.1%
18109 49
2.3%
18104 48
2.2%
17998 97
4.5%
17730 68
3.2%
17727 10
 
0.5%
17596 29
 
1.4%
17420 7
 
0.3%
17301 102
4.8%

정제WGS84위도
Real number (ℝ)

Distinct43
Distinct (%)2.0%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.443611
Minimum36.951535
Maximum37.907415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-10T20:39:06.172795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.951535
5-th percentile37.001328
Q137.295574
median37.408224
Q337.627068
95-th percentile37.884239
Maximum37.907415
Range0.95587975
Interquartile range (IQR)0.33149446

Descriptive statistics

Standard deviation0.24985276
Coefficient of variation (CV)0.0066727742
Kurtosis-0.57554038
Mean37.443611
Median Absolute Deviation (MAD)0.14878366
Skewness0.13818718
Sum80204.216
Variance0.062426404
MonotonicityNot monotonic
2024-05-10T20:39:06.506054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
37.8018491215 164
 
7.6%
37.4082244802 154
 
7.2%
37.5597690264 118
 
5.5%
37.3181912057 102
 
4.8%
37.9074152109 100
 
4.7%
36.9515354628 97
 
4.5%
37.3154318836 92
 
4.3%
37.295573583 88
 
4.1%
37.3626304148 86
 
4.0%
37.4288572257 78
 
3.6%
Other values (33) 1063
49.6%
ValueCountFrequency (%)
36.9515354628 97
4.5%
37.0013277094 29
 
1.4%
37.0657848904 68
3.2%
37.0792739548 10
 
0.5%
37.1159264912 7
 
0.3%
37.1368521794 1
 
< 0.1%
37.1497158422 48
2.2%
37.176722027 1
 
< 0.1%
37.177749844 49
2.3%
37.2594408175 54
2.5%
ValueCountFrequency (%)
37.9074152109 100
4.7%
37.9064521561 1
 
< 0.1%
37.9061107625 1
 
< 0.1%
37.8842389588 53
 
2.5%
37.8311408361 26
 
1.2%
37.8018491215 164
7.6%
37.7576347332 6
 
0.3%
37.743800791 64
 
3.0%
37.7288759495 9
 
0.4%
37.6416740161 66
3.1%

정제WGS84경도
Real number (ℝ)

Distinct43
Distinct (%)2.0%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean127.08288
Minimum126.65872
Maximum127.62591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-10T20:39:06.824603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.65872
5-th percentile126.74115
Q1127.00197
median127.09072
Q3127.17887
95-th percentile127.42395
Maximum127.62591
Range0.96719324
Interquartile range (IQR)0.17690403

Descriptive statistics

Standard deviation0.17933975
Coefficient of variation (CV)0.0014112031
Kurtosis0.86487794
Mean127.08288
Median Absolute Deviation (MAD)0.088148891
Skewness0.095717919
Sum272211.53
Variance0.032162747
MonotonicityNot monotonic
2024-05-10T20:39:07.228129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
127.0907227494 164
 
7.6%
127.1441400527 154
 
7.2%
127.1880990121 118
 
5.5%
127.4239537523 102
 
4.8%
127.0477763271 100
 
4.7%
127.078570746 97
 
4.5%
127.105834132 92
 
4.3%
127.0360300663 88
 
4.1%
126.9332378182 86
 
4.0%
127.0019676068 78
 
3.6%
Other values (33) 1063
49.6%
ValueCountFrequency (%)
126.65871737 66
3.1%
126.7411539774 68
3.2%
126.7466428815 9
 
0.4%
126.7587186838 1
 
< 0.1%
126.7622788457 8
 
0.4%
126.7692263421 6
 
0.3%
126.8137488199 68
3.2%
126.8466410637 1
 
< 0.1%
126.8754747596 53
2.5%
126.9207400284 1
 
< 0.1%
ValueCountFrequency (%)
127.6259106107 7
 
0.3%
127.5037898877 57
2.7%
127.5016364275 26
 
1.2%
127.4239537523 102
4.8%
127.2812633974 29
 
1.4%
127.2193747882 54
2.5%
127.2193281315 26
 
1.2%
127.2001932908 61
2.8%
127.1880990121 118
5.5%
127.1788716406 69
3.2%

유의사항
Categorical

IMBALANCE 

Distinct26
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
<NA>
2005 
없음
 
103
이용금액 상이 주2회 45000
 
8
소득별 이용금액 차등부여
 
4
이용금액 상이 1개월 10,000~20,000
 
2
Other values (21)
 
23

Length

Max length170
Median length4
Mean length4.2620047
Min length2

Unique

Unique19 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2005
93.5%
없음 103
 
4.8%
이용금액 상이 주2회 45000 8
 
0.4%
소득별 이용금액 차등부여 4
 
0.2%
이용금액 상이 1개월 10,000~20,000 2
 
0.1%
이용금액 상이 2회 35000+3회 45000 2
 
0.1%
매년 11월~12월 모집 2
 
0.1%
이용금액 상이 성인 45000+아동.청소년 40000 1
 
< 0.1%
이용금액 상이 주3회 65000 1
 
< 0.1%
이용금액 상이 평일 2시간 - 3000원+4시간 - 5000원+8시간 -10000원+12시간 -12000원+16시간 -15000원+24시간 -20000원) / 주말·공휴일 2시간 - 4000원+4시간 - 7000원+8시간 -12000원+12시간 -15000원+16시간 -20000원+24시간 -25000원 1
 
< 0.1%
Other values (16) 16
 
0.7%

Length

2024-05-10T20:39:07.687988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2005
88.3%
없음 103
 
4.5%
이용금액 30
 
1.3%
상이 22
 
1.0%
45000 10
 
0.4%
주2회 8
 
0.4%
5
 
0.2%
소득별 4
 
0.2%
차등부여 4
 
0.2%
1개월 4
 
0.2%
Other values (65) 76
 
3.3%

데이터기준일자
Date

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
Minimum2019-07-03 00:00:00
Maximum2024-04-29 00:00:00
2024-05-10T20:39:08.023741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:08.391445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

Sample

시군명복지관명이용대상이용대상상세조건(장애유형)이용대상상세조건(연령제한)이용대상상세조건(기타조건)구분상세구분프로그램명프로그램내용이용시간이용금액이용금액산정기준부가비용소재지도로명주소소재지지번주소대표전화번호사업자등록번호추가연락처번호정보정제우편번호정제WGS84위도정제WGS84경도유의사항데이터기준일자
0가평군가평군장애인복지관등록장애인발달장애인없음여가활동이 필요한 자낮활동 및 행동지원여가교실독서활동구연동화 및 독후활동금 10:30~11:30100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
1가평군가평군장애인복지관등록장애인등록장애인없음독거, 식생활 필요한자사례관리 및 권익옹호독립적 권익옹호식생활개선식습관 개선을 위한 요리활동수, 금 13:30~17:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
2가평군가평군장애인복지관등록장애인등록장애인없음훈련실 이용자낮활동 및 행동지원여가교실태권도교실훈련실 이용자 여가 제공월 10:30~11:3001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
3가평군가평군장애인복지관등록장애인등록장애인없음신체활동 가능한 자낮활동 및 행동지원여가교실에어로빅교실노래에 맞춰 에어로빅, 스트레칭 진행월 13:00~14:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
4가평군가평군장애인복지관등록장애인등록장애인없음여가활동이 필요한 자낮활동 및 행동지원여가교실자전거교실대회참여, 캠프 등 자전거 활동화 10:00~12:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
5가평군가평군장애인복지관등록장애인발달장애인없음소득이 있는 발달장애인사례관리 및 권익옹호독립적 권익옹호금전관리올바른 소비패턴 확립화 13:00~14:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
6가평군가평군장애인복지관등록장애인등록장애인없음여가활동이 필요한 자낮활동 및 행동지원여가교실웃음레크레이션노래를 접목한 웃음 테라피목 10:00~11:30100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
7가평군가평군장애인복지관등록장애인등록장애인없음여가활동이 필요한 자낮활동 및 행동지원여가교실요가교실스트레칭 등 신체활동목 13:00~14:30100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
8가평군가평군장애인복지관등록장애인발달장애인없음표현력이 가능한 발달장애인사례관리 및 권익옹호독립적 권익옹호자기결정자기표현 기회 제공목 13:00~16:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
9가평군가평군장애인복지관등록장애인등록장애인없음여가활동이 필요한 자낮활동 및 행동지원여가교실도예교실도예공모 및 전시회 진행금 13:00~16:00100001개월<NA>경기도 가평군 가평읍 석봉로 191번길 65-19경기도 가평군 가평읍 읍내리 861번지031-581-97852758200309<NA>1241437.831141127.501636<NA>2024-02-20
시군명복지관명이용대상이용대상상세조건(장애유형)이용대상상세조건(연령제한)이용대상상세조건(기타조건)구분상세구분프로그램명프로그램내용이용시간이용금액이용금액산정기준부가비용소재지도로명주소소재지지번주소대표전화번호사업자등록번호추가연락처번호정보정제우편번호정제WGS84위도정제WGS84경도유의사항데이터기준일자
2135하남시하남시장애인복지관장애인발달장애인20세 이상 ~ 40세 이하 장애인하남시 거주 등록 장애인교육교육프로그램청년대학성인발달장애인들의 사회자립을 위한 사회성 증진 및 스트레스 해소 프로그램월~금(주5회) 10:00~16:301900001개월캠프비경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2136하남시하남시장애인복지관장애인 및 비장애인<NA><NA>하남시 거주 등록 장애인 또는 비장애인교육문화예술노래교실노래로 함께 어우러지는 장애인 비장애인의 힐링교실수(주1회) 10:00~12:0080001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2137하남시하남시장애인복지관장애인<NA><NA>하남시 거주 등록 장애인교육생활체육건강체조음악과 체조를 함께하는 건강증진 및 여가선용월(주1회)11:00 ~ 12:0030001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2138하남시하남시장애인복지관장애인 및 비장애인<NA><NA>하남시 거주 등록장애인 또는 비장애인교육문화예술라인댄스차차차, 자이브, 왈츠 음악 등을 통한 스트레스 해소수,금 (주2회) 13:00~14:30200001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2139하남시하남시장애인복지관장애인 및 비장애인<NA><NA>하남시 거주 등록장애인 또는 비장애인교육문화예술캘리그라피(기초)감성 손글씨 기초 배우기목(주1회) 13:00 ~ 14:30150001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2140하남시하남시장애인복지관장애인 및 비장애인<NA><NA>하남시 거주 등록장애인 또는 비장애인교육문화예술도예교실생활도자기 만들기화(주1회) 10:00 ~ 12:00150001개월재료비경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2141하남시하남시장애인복지관장애인 및 비장애인<NA><NA>하남시 거주 등록장애인 또는 비장애인교육열린문화요가신체유연성 증가 및 강화 운동월,수(주2회)18:00 ~ 19:00200001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2142하남시하남시장애인복지관장애인<NA><NA>하남시 거주 등록장애인교육교육아카데미헬로우 영어교실영어 입문과정을 통한 기초 다지기월(주1회)10:00 ~ 11:3001개월<NA>경기도 하남시 미사강변남로 56경기도 하남시 풍산동 산58-5번지031-794-2266<NA><NA>1291937.559769127.188099<NA>2024-02-27
2143화성시화성시동탄아르딤복지관장애인, 비장애인, 장애인가족시각장애인, 지적장애인 등<NA><NA>상담, 재활, 직업지원 등<NA>상담가족사업,기능지원사업,직업지원사업,권익옹호사업,지역연계사업,활동지원사업,운영지원사업,상담, 재활, 직업지원 등<NA><NA><NA><NA>경기도 화성시 동탄대로10길 17-12경기도 화성시 산척동 6760507-1303-7450<NA><NA>1848937.176722127.107806<NA>2024-02-29
2144화성시화성시아르딤복지관장애인, 비장애인, 장애인가족시각장애인, 지적장애인 등<NA><NA>상담, 재활, 직업지원 등<NA>맞춤형사업, 기능향상지원사업, 가족문화지원사업, 지역연대사업, 직업지원사업, 활동지원사업, 운영지원사업상담, 재활, 직업지원 등<NA><NA><NA><NA>경기도 화성시 향남읍 도이1길 104경기도 화성시 향남읍 도이리 220-20031-5183-8900<NA><NA>1858837.136852126.92074<NA>2024-02-29

Duplicate rows

Most frequently occurring

시군명복지관명이용대상이용대상상세조건(장애유형)이용대상상세조건(연령제한)이용대상상세조건(기타조건)구분상세구분프로그램명프로그램내용이용시간이용금액이용금액산정기준부가비용소재지도로명주소소재지지번주소대표전화번호사업자등록번호추가연락처번호정보정제우편번호정제WGS84위도정제WGS84경도유의사항데이터기준일자# duplicates
0동두천시동두천시장애인종합복지관보호자모든 유형성인성인장애인체육재활성인생활체육 교실체조(요가)교실요가를 접목한 스트레칭 진행주 1회,목 14:30~15:300<NA>0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
1동두천시동두천시장애인종합복지관장애인모든 유형성인성인장애인교육재활성인평생교육 프로그램정보화 교실컴퓨터 학습, 자격증 취득3월~11월0<NA>0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
2동두천시동두천시장애인종합복지관장애인모든 유형성인성인장애인사회·심리재활성인여가문화 프로그램노래교실곡에 대한 다양성 연습 및 이해주 1회, 목 13:00~14:000<NA>0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
3동두천시동두천시장애인종합복지관장애인모든 유형성인성인장애인사회·심리재활햇살 Volunteer햇살 Volunteer자원봉사자 활동 및 지역행사 참여월 1회0<NA>0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
4동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인(방학특강)요리교실영양교육, 식생활 교육을 통한 자립지원연 4회, 2월300004회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
5동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인네트워크사회훈련식생활교육, 체력관리 지역사회시설 이용연 10회, 3~11월010회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
6동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인제과제빵교육(기초)제과 및 제빵 등 다양한 제과기술교육월 10:00~12:003000032회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
7동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인제과제빵교육(심화)제과 및 제빵 등 다양한 제과기술교육수 10:00~12:003000032회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
8동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인직업체험다양한 직업체험연 1회300001회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292
9동두천시동두천시장애인종합복지관장애인<NA>성인장애인취업 욕구가 있는 성인장애인직업재활성인장애인취미로 하는 자립교육보드게임을 활용한 학습 및 자신감 강화금 14:00~15:001500032회0경기도 동두천시 상패로 64경기도 동두천시 상패동 54번지031-867-00801278220461031-867-00801133837.907415127.047776없음2024-04-292