Overview

Dataset statistics

Number of variables10
Number of observations361
Missing cells23
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.0 KiB
Average record size in memory82.4 B

Variable types

Numeric2
Text3
Categorical5

Dataset

Description연번,위탁업무명,유형,유형세부,기관명,위탁기간,예산명,예산코드,예산(천원),선정방법
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-1241/S/1/datasetView.do

Alerts

예산코드 is highly overall correlated with 예산(천원) and 1 other fieldsHigh correlation
유형세부 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 유형세부High correlation
예산명 is highly overall correlated with 예산(천원) and 1 other fieldsHigh correlation
예산(천원) is highly overall correlated with 예산명 and 1 other fieldsHigh correlation
예산명 is highly imbalanced (76.0%)Imbalance
예산코드 is highly imbalanced (76.0%)Imbalance
예산(천원) has 23 (6.4%) missing valuesMissing
연번 has unique valuesUnique
위탁업무명 has unique valuesUnique
예산(천원) has 14 (3.9%) zerosZeros

Reproduction

Analysis started2023-12-30 01:14:50.589853
Analysis finished2023-12-30 01:14:54.529067
Duration3.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.586646 × 1012
Minimum1.573003 × 1012
Maximum1.6910428 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-30T01:14:54.881205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.573003 × 1012
5-th percentile1.573003 × 1012
Q11.573003 × 1012
median1.573003 × 1012
Q31.573003 × 1012
95-th percentile1.6595009 × 1012
Maximum1.6910428 × 1012
Range1.1803981 × 1011
Interquartile range (IQR)595

Descriptive statistics

Standard deviation2.8643244 × 1010
Coefficient of variation (CV)0.018052699
Kurtosis2.8905451
Mean1.586646 × 1012
Median Absolute Deviation (MAD)383
Skewness2.0375632
Sum5.7277921 × 1014
Variance8.204354 × 1020
MonotonicityStrictly decreasing
2023-12-30T01:14:55.555855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1691042814780 1
 
0.3%
1573003000539 1
 
0.3%
1573003000543 1
 
0.3%
1573003000544 1
 
0.3%
1573003000548 1
 
0.3%
1573003000549 1
 
0.3%
1573003000550 1
 
0.3%
1573003000552 1
 
0.3%
1573003000554 1
 
0.3%
1573003000556 1
 
0.3%
Other values (351) 351
97.2%
ValueCountFrequency (%)
1573003000003 1
0.3%
1573003000011 1
0.3%
1573003000012 1
0.3%
1573003000074 1
0.3%
1573003000075 1
0.3%
1573003000076 1
0.3%
1573003000077 1
0.3%
1573003000078 1
0.3%
1573003000079 1
0.3%
1573003000080 1
0.3%
ValueCountFrequency (%)
1691042814780 1
0.3%
1691042263700 1
0.3%
1681111143960 1
0.3%
1677742525438 1
0.3%
1675038821737 1
0.3%
1673414636970 1
0.3%
1673229613422 1
0.3%
1672982213651 1
0.3%
1672895080631 1
0.3%
1672895041844 1
0.3%

위탁업무명
Text

UNIQUE 

Distinct361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-30T01:14:56.191808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length30
Mean length15.853186
Min length4

Characters and Unicode

Total characters5723
Distinct characters356
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)100.0%

Sample

1st row서울시 피해장애인 쉼터 관리 및 운영(서대문)
2nd row학대 피해장애아동 쉼터 관리 및 운영
3rd row서울시 장애인 의사소통 권리증진센터
4th row서울주얼리지원센터(1,2관) 운영
5th row꿈자람학대피해아동 쉼터 운영
ValueCountFrequency (%)
운영 231
20.9%
관리 113
 
10.2%
및 113
 
10.2%
서울특별시 36
 
3.3%
서울시 22
 
2.0%
시립 9
 
0.8%
운영관리 7
 
0.6%
서울특별시립 6
 
0.5%
사무 5
 
0.5%
거점형 5
 
0.5%
Other values (488) 558
50.5%
2023-12-30T01:14:57.357035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
747
 
13.1%
영 269
 
4.7%
운 261
 
4.6%
터 206
 
3.6%
시 206
 
3.6%
관 187
 
3.3%
서 184
 
3.2%
센 174
 
3.0%
리 159
 
2.8%
울 153
 
2.7%
Other values (346) 3177
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4859
84.9%
Space Separator 747
 
13.1%
Close Punctuation 33
 
0.6%
Open Punctuation 33
 
0.6%
Decimal Number 22
 
0.4%
Other Punctuation 16
 
0.3%
Uppercase Letter 10
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 269
 
5.5%
운 261
 
5.4%
터 206
 
4.2%
시 206
 
4.2%
관 187
 
3.8%
서 184
 
3.8%
센 174
 
3.6%
리 159
 
3.3%
울 153
 
3.1%
및 113
 
2.3%
Other values (320) 2947
60.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
20.0%
R 2
20.0%
C 1
10.0%
M 1
10.0%
I 1
10.0%
A 1
10.0%
G 1
10.0%
S 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 7
43.8%
: 3
18.8%
? 3
18.8%
! 1
 
6.2%
; 1
 
6.2%
& 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
2 6
27.3%
3 4
18.2%
6 2
 
9.1%
4 2
 
9.1%
5 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4858
84.9%
Common 851
 
14.9%
Latin 13
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 269
 
5.5%
운 261
 
5.4%
터 206
 
4.2%
시 206
 
4.2%
관 187
 
3.8%
서 184
 
3.8%
센 174
 
3.6%
리 159
 
3.3%
울 153
 
3.1%
및 113
 
2.3%
Other values (319) 2946
60.6%
Common
ValueCountFrequency (%)
747
87.8%
) 33
 
3.9%
( 33
 
3.9%
, 7
 
0.8%
1 7
 
0.8%
2 6
 
0.7%
3 4
 
0.5%
: 3
 
0.4%
? 3
 
0.4%
6 2
 
0.2%
Other values (5) 6
 
0.7%
Latin
ValueCountFrequency (%)
D 2
15.4%
R 2
15.4%
C 1
7.7%
M 1
7.7%
I 1
7.7%
A 1
7.7%
p 1
7.7%
m 1
7.7%
a 1
7.7%
G 1
7.7%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4857
84.9%
ASCII 864
 
15.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
747
86.5%
) 33
 
3.8%
( 33
 
3.8%
, 7
 
0.8%
1 7
 
0.8%
2 6
 
0.7%
3 4
 
0.5%
: 3
 
0.3%
? 3
 
0.3%
6 2
 
0.2%
Other values (16) 19
 
2.2%
Hangul
ValueCountFrequency (%)
영 269
 
5.5%
운 261
 
5.4%
터 206
 
4.2%
시 206
 
4.2%
관 187
 
3.9%
서 184
 
3.8%
센 174
 
3.6%
리 159
 
3.3%
울 153
 
3.2%
및 113
 
2.3%
Other values (318) 2945
60.6%
CJK
ValueCountFrequency (%)
舊 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
시설
254 
사무
93 
자립형
 
14

Length

Max length3
Median length2
Mean length2.0387812
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시설
2nd row시설
3rd row사무
4th row시설
5th row시설

Common Values

ValueCountFrequency (%)
시설 254
70.4%
사무 93
 
25.8%
자립형 14
 
3.9%

Length

2023-12-30T01:14:58.027779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-30T01:14:58.491132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설 254
70.4%
사무 93
 
25.8%
자립형 14
 
3.9%

유형세부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
SUP_CAT_FACILITY
254 
SUP_CAT_OFFICIAL
93 
SUP_CAT_INCOME_CREATE
 
14

Length

Max length21
Median length16
Mean length16.193906
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSUP_CAT_FACILITY
2nd rowSUP_CAT_FACILITY
3rd rowSUP_CAT_OFFICIAL
4th rowSUP_CAT_FACILITY
5th rowSUP_CAT_FACILITY

Common Values

ValueCountFrequency (%)
SUP_CAT_FACILITY 254
70.4%
SUP_CAT_OFFICIAL 93
 
25.8%
SUP_CAT_INCOME_CREATE 14
 
3.9%

Length

2023-12-30T01:14:58.855768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-30T01:14:59.275028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sup_cat_facility 254
70.4%
sup_cat_official 93
 
25.8%
sup_cat_income_create 14
 
3.9%

기관명
Text

Distinct304
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-30T01:14:59.958638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length11.32964
Min length3

Characters and Unicode

Total characters4090
Distinct characters346
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)73.4%

Sample

1st row사단법인 한국장애인부모회
2nd row(사)부스러기사랑나눔회
3rd row(사)한국뇌병변장애인인권협회
4th row(재)한국주얼리산업진흥재단
5th row가천나눔사회적협동조합
ValueCountFrequency (%)
사단법인 16
 
3.1%
사회복지법인 11
 
2.2%
학교법인 8
 
1.6%
산학협력단 8
 
1.6%
사회적협동조합 7
 
1.4%
사 7
 
1.4%
사)한국청소년연맹 7
 
1.4%
재단법인 6
 
1.2%
광운대학교 6
 
1.2%
서울특별시 5
 
1.0%
Other values (354) 430
84.1%
2023-12-30T01:15:01.483304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 178
 
4.4%
) 171
 
4.2%
( 166
 
4.1%
154
 
3.8%
회 139
 
3.4%
재 125
 
3.1%
단 124
 
3.0%
지 119
 
2.9%
한 114
 
2.8%
복 85
 
2.1%
Other values (336) 2715
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3570
87.3%
Close Punctuation 171
 
4.2%
Open Punctuation 166
 
4.1%
Space Separator 154
 
3.8%
Other Punctuation 20
 
0.5%
Uppercase Letter 5
 
0.1%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 178
 
5.0%
회 139
 
3.9%
재 125
 
3.5%
단 124
 
3.5%
지 119
 
3.3%
한 114
 
3.2%
복 85
 
2.4%
교 82
 
2.3%
국 80
 
2.2%
인 80
 
2.2%
Other values (323) 2444
68.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
K 1
20.0%
R 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
. 1
 
5.0%
! 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3570
87.3%
Common 515
 
12.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 178
 
5.0%
회 139
 
3.9%
재 125
 
3.5%
단 124
 
3.5%
지 119
 
3.3%
한 114
 
3.2%
복 85
 
2.4%
교 82
 
2.3%
국 80
 
2.2%
인 80
 
2.2%
Other values (323) 2444
68.5%
Common
ValueCountFrequency (%)
) 171
33.2%
( 166
32.2%
154
29.9%
, 18
 
3.5%
1 2
 
0.4%
. 1
 
0.2%
! 1
 
0.2%
4 1
 
0.2%
- 1
 
0.2%
Latin
ValueCountFrequency (%)
C 2
40.0%
K 1
20.0%
R 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3570
87.3%
ASCII 520
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 178
 
5.0%
회 139
 
3.9%
재 125
 
3.5%
단 124
 
3.5%
지 119
 
3.3%
한 114
 
3.2%
복 85
 
2.4%
교 82
 
2.3%
국 80
 
2.2%
인 80
 
2.2%
Other values (323) 2444
68.5%
ASCII
ValueCountFrequency (%)
) 171
32.9%
( 166
31.9%
154
29.6%
, 18
 
3.5%
1 2
 
0.4%
C 2
 
0.4%
. 1
 
0.2%
K 1
 
0.2%
! 1
 
0.2%
4 1
 
0.2%
Other values (3) 3
 
0.6%

위탁기간
Text

Distinct191
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-30T01:15:02.675714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters8303
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)39.6%

Sample

1st row2020-07-20 ~ 2023-07-19
2nd row2022-11-28 ~ 2027-11-27
3rd row2023-09-01 ~ 2026-08-31
4th row2023-03-01 ~ 2025-12-31
5th row2023-06-01 ~ 2028-05-31
ValueCountFrequency (%)
361
33.3%
2023-12-31 55
 
5.1%
2024-12-31 51
 
4.7%
2025-12-31 38
 
3.5%
2023-01-01 32
 
3.0%
2022-01-01 32
 
3.0%
2021-01-01 30
 
2.8%
2020-01-01 17
 
1.6%
2022-04-01 14
 
1.3%
2022-12-31 13
 
1.2%
Other values (268) 440
40.6%
2023-12-30T01:15:03.833120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1804
21.7%
0 1666
20.1%
- 1444
17.4%
1 1146
13.8%
722
8.7%
3 499
 
6.0%
~ 361
 
4.3%
4 164
 
2.0%
5 135
 
1.6%
6 104
 
1.3%
Other values (3) 258
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5776
69.6%
Dash Punctuation 1444
 
17.4%
Space Separator 722
 
8.7%
Math Symbol 361
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1804
31.2%
0 1666
28.8%
1 1146
19.8%
3 499
 
8.6%
4 164
 
2.8%
5 135
 
2.3%
6 104
 
1.8%
9 92
 
1.6%
7 83
 
1.4%
8 83
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1444
100.0%
Space Separator
ValueCountFrequency (%)
722
100.0%
Math Symbol
ValueCountFrequency (%)
~ 361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8303
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1804
21.7%
0 1666
20.1%
- 1444
17.4%
1 1146
13.8%
722
8.7%
3 499
 
6.0%
~ 361
 
4.3%
4 164
 
2.0%
5 135
 
1.6%
6 104
 
1.3%
Other values (3) 258
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1804
21.7%
0 1666
20.1%
- 1444
17.4%
1 1146
13.8%
722
8.7%
3 499
 
6.0%
~ 361
 
4.3%
4 164
 
2.0%
5 135
 
1.6%
6 104
 
1.3%
Other values (3) 258
 
3.1%

예산명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
325 
기타
 
16
민간대행사업비
 
8
일반운영비
 
6
민간자본보조
 
4
Other values (2)
 
2

Length

Max length7
Median length4
Mean length4.0277008
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 325
90.0%
기타 16
 
4.4%
민간대행사업비 8
 
2.2%
일반운영비 6
 
1.7%
민간자본보조 4
 
1.1%
민간경상보조 1
 
0.3%
사회복지보조 1
 
0.3%

Length

2023-12-30T01:15:04.355573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-30T01:15:04.821074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
90.0%
기타 16
 
4.4%
민간대행사업비 8
 
2.2%
일반운영비 6
 
1.7%
민간자본보조 4
 
1.1%
민간경상보조 1
 
0.3%
사회복지보조 1
 
0.3%

예산코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
325 
BUDGET_ETC
 
16
PRIVATE_PROXY_BSNS_PAYMENT
 
8
NORMAL_OPER_PAYMENT
 
6
PRIVATE_CAPITAL_HELP
 
4
Other values (2)
 
2

Length

Max length26
Median length4
Mean length5.2742382
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 325
90.0%
BUDGET_ETC 16
 
4.4%
PRIVATE_PROXY_BSNS_PAYMENT 8
 
2.2%
NORMAL_OPER_PAYMENT 6
 
1.7%
PRIVATE_CAPITAL_HELP 4
 
1.1%
PRIVATE_REGULARITY_HELP 1
 
0.3%
SOCIAL_WELFARE_HELP 1
 
0.3%

Length

2023-12-30T01:15:05.214349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-30T01:15:05.556073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
90.0%
budget_etc 16
 
4.4%
private_proxy_bsns_payment 8
 
2.2%
normal_oper_payment 6
 
1.7%
private_capital_help 4
 
1.1%
private_regularity_help 1
 
0.3%
social_welfare_help 1
 
0.3%

예산(천원)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct311
Distinct (%)92.0%
Missing23
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean2015656.8
Minimum0
Maximum1.4024688 × 108
Zeros14
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-30T01:15:05.991649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96770.5
Q1420909.25
median824080
Q31563251.5
95-th percentile5353125.3
Maximum1.4024688 × 108
Range1.4024688 × 108
Interquartile range (IQR)1142342.2

Descriptive statistics

Standard deviation8055206.1
Coefficient of variation (CV)3.9963183
Kurtosis259.45859
Mean2015656.8
Median Absolute Deviation (MAD)524113.5
Skewness15.296008
Sum6.81292 × 108
Variance6.4886346 × 1013
MonotonicityNot monotonic
2023-12-30T01:15:06.441793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
3.9%
404020 4
 
1.1%
587400 3
 
0.8%
340000 2
 
0.6%
506089 2
 
0.6%
254115 2
 
0.6%
523589 2
 
0.6%
1497911 2
 
0.6%
400000 2
 
0.6%
170000 2
 
0.6%
Other values (301) 303
83.9%
(Missing) 23
 
6.4%
ValueCountFrequency (%)
0 14
3.9%
67523 1
 
0.3%
69410 1
 
0.3%
78470 1
 
0.3%
100000 1
 
0.3%
100680 1
 
0.3%
135553 1
 
0.3%
136493 1
 
0.3%
136946 1
 
0.3%
137289 1
 
0.3%
ValueCountFrequency (%)
140246878 1
0.3%
25796000 1
0.3%
24918242 1
0.3%
16994348 1
0.3%
16091929 1
0.3%
14579870 1
0.3%
12847312 1
0.3%
11201450 1
0.3%
10209487 1
0.3%
8830000 1
0.3%

선정방법
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
재위탁(공모)
177 
재계약
104 
신규위탁(공모)
74 
신규위탁(수의)
 
5
재위탁(수의)
 
1

Length

Max length8
Median length7
Mean length6.066482
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row신규위탁(공모)
2nd row신규위탁(공모)
3rd row신규위탁(공모)
4th row신규위탁(공모)
5th row신규위탁(공모)

Common Values

ValueCountFrequency (%)
재위탁(공모) 177
49.0%
재계약 104
28.8%
신규위탁(공모) 74
20.5%
신규위탁(수의) 5
 
1.4%
재위탁(수의) 1
 
0.3%

Length

2023-12-30T01:15:06.881517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-30T01:15:07.245770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재위탁(공모 177
49.0%
재계약 104
28.8%
신규위탁(공모 74
20.5%
신규위탁(수의 5
 
1.4%
재위탁(수의 1
 
0.3%

Interactions

2023-12-30T01:14:53.079746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-30T01:14:52.378796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-30T01:14:53.354425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-30T01:14:52.705960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-30T01:15:07.518709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형유형세부예산명예산코드예산(천원)선정방법
연번1.0000.0000.0000.0000.0000.0000.635
유형0.0001.0001.0000.5740.5740.0000.122
유형세부0.0001.0001.0000.5740.5740.0000.122
예산명0.0000.5740.5741.0001.000NaN0.000
예산코드0.0000.5740.5741.0001.000NaN0.000
예산(천원)0.0000.0000.000NaNNaN1.0000.000
선정방법0.6350.1220.1220.0000.0000.0001.000
2023-12-30T01:15:07.737102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산코드유형세부선정방법유형예산명
예산코드1.0000.2660.0000.2661.000
유형세부0.2661.0000.0911.0000.266
선정방법0.0000.0911.0000.0910.000
유형0.2661.0000.0911.0000.266
예산명1.0000.2660.0000.2661.000
2023-12-30T01:15:07.920826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번예산(천원)유형유형세부예산명예산코드선정방법
연번1.000-0.0910.0000.0000.0000.0000.313
예산(천원)-0.0911.0000.0000.0001.0001.0000.000
유형0.0000.0001.0001.0000.2660.2660.091
유형세부0.0000.0001.0001.0000.2660.2660.091
예산명0.0001.0000.2660.2661.0001.0000.000
예산코드0.0001.0000.2660.2661.0001.0000.000
선정방법0.3130.0000.0910.0910.0000.0001.000

Missing values

2023-12-30T01:14:53.766633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-30T01:14:54.272698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번위탁업무명유형유형세부기관명위탁기간예산명예산코드예산(천원)선정방법
01691042814780서울시 피해장애인 쉼터 관리 및 운영(서대문)시설SUP_CAT_FACILITY사단법인 한국장애인부모회2020-07-20 ~ 2023-07-19<NA><NA>1023331신규위탁(공모)
11691042263700학대 피해장애아동 쉼터 관리 및 운영시설SUP_CAT_FACILITY(사)부스러기사랑나눔회2022-11-28 ~ 2027-11-27<NA><NA>818613신규위탁(공모)
21681111143960서울시 장애인 의사소통 권리증진센터사무SUP_CAT_OFFICIAL(사)한국뇌병변장애인인권협회2023-09-01 ~ 2026-08-31<NA><NA>405925신규위탁(공모)
31677742525438서울주얼리지원센터(1,2관) 운영시설SUP_CAT_FACILITY(재)한국주얼리산업진흥재단2023-03-01 ~ 2025-12-31<NA><NA>1372542신규위탁(공모)
41675038821737꿈자람학대피해아동 쉼터 운영시설SUP_CAT_FACILITY가천나눔사회적협동조합2023-06-01 ~ 2028-05-31<NA><NA>285000신규위탁(공모)
51673414636970서?특별시자립지원전담기관 관리 및 운영사무SUP_CAT_OFFICIAL(사)서울시아동복지협회2022-10-21 ~ 2023-12-31<NA><NA><NA>신규위탁(수의)
61673229613422G밸리 창업복지센터 관리 및 운영시설SUP_CAT_FACILITY(주)케이에스메이트2021-09-01 ~ 2023-12-31<NA><NA>741000신규위탁(공모)
71672982213651마포 디자인출판 지원센터 운영시설SUP_CAT_FACILITY(주)윤디자인그룹2022-03-01 ~ 2024-02-28<NA><NA><NA>재위탁(공모)
81672895080631홍릉 바이오 의료 R&amp;D 앵커 시설 관리 및 운영시설SUP_CAT_FACILITY한국과학기술연구원, 고려대학교 산학협력단2023-07-25 ~ 2026-07-24<NA><NA>11201450재위탁(공모)
91672895041844서울아이 발달지원 센터 운영사무SUP_CAT_OFFICIAL좋은아이연구원2023-03-06 ~ 2025-12-31<NA><NA>1499910신규위탁(수의)
연번위탁업무명유형유형세부기관명위탁기간예산명예산코드예산(천원)선정방법
3511573003000080시립중랑노인전문요양원 관리 및 운영시설SUP_CAT_FACILITY사회적협동조합 도우누리2021-11-01 ~ 2026-10-31<NA><NA>929753재위탁(공모)
3521573003000079시립중계노인전문요양원시설SUP_CAT_FACILITY사회적협동조합도우누리2019-03-01 ~ 2024-02-29<NA><NA>387800재위탁(공모)
3531573003000078시립영보노인요양원 관리 및 운영시설SUP_CAT_FACILITY대한불교조계종사회복지재단2021-01-20 ~ 2026-01-19<NA><NA>716852재계약
3541573003000077시립남부노인전문요양원 관리 및 운영시설SUP_CAT_FACILITY굿피플우리복지재단2022-03-01 ~ 2027-02-28<NA><NA>1080824재위탁(공모)
3551573003000076시립고덕양로원시설SUP_CAT_FACILITY사회복지법인 서울가톨릭사회복지회2021-03-05 ~ 2026-03-04<NA><NA>1901617재계약
3561573003000075시립송파노인전문요양원 관리 및 운영시설SUP_CAT_FACILITY대한불교천태종복지재단2021-02-01 ~ 2026-01-31<NA><NA>148320재위탁(공모)
3571573003000074시립수락양로원시설SUP_CAT_FACILITY(사복)청운보은동산2019-01-01 ~ 2023-12-31<NA><NA>1144828재위탁(공모)
3581573003000012서울시 식생활종합지원센터 관리 및 운영시설SUP_CAT_FACILITY가톨릭대학교 가톨릭중앙의료원2016-01-01 ~ 2016-12-31<NA><NA>570460신규위탁(공모)
3591573003000011서울특별시 아토피?천식 교육정보센터 운영사무SUP_CAT_OFFICIAL(사)한국천식알레르기협회2023-01-01 ~ 2025-12-31<NA><NA>390000재계약
3601573003000003서울시 대사증후군 관리사업 지원단 운영사무SUP_CAT_OFFICIAL고려대학교산학협력단2022-01-01 ~ 2024-12-31<NA><NA>489032재위탁(공모)