Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory64.1 B

Variable types

DateTime3
Text2
Numeric2

Dataset

Description이자료는 한국자산관리공사 공공개발부문에서 현재까지 시행하고있는 국유지 위탁개발 및 기금개발 현황 자료입니다.
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15045318/fileData.do

Alerts

연도 has constant value ""Constant
사업장 has unique valuesUnique
대지면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:02:28.270941
Analysis finished2024-03-14 19:02:30.575089
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T04:02:30.651393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:30.814840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사업장
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T04:02:31.493898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.6190476
Min length6

Characters and Unicode

Total characters181
Distinct characters86
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row나라키움 부산 온타워
2nd row종로복합청사
3rd row안양세관 복합청사
4th row관악복합관사
5th row성남 선관위 복합청사
ValueCountFrequency (%)
나라키움 2
 
6.1%
복합청사 2
 
6.1%
광화문kt빌딩 1
 
3.0%
해경 1
 
3.0%
해양종합훈련시설 1
 
3.0%
제주 1
 
3.0%
제주마루 1
 
3.0%
강남통합청사 1
 
3.0%
천안통합청사 1
 
3.0%
용인통합청사 1
 
3.0%
Other values (21) 21
63.6%
2024-03-15T04:02:32.495132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 13
 
7.2%
사 12
 
6.6%
12
 
6.6%
청 11
 
6.1%
통 8
 
4.4%
관 7
 
3.9%
복 5
 
2.8%
제 5
 
2.8%
주 3
 
1.7%
종 3
 
1.7%
Other values (76) 102
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
91.7%
Space Separator 12
 
6.6%
Uppercase Letter 2
 
1.1%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 13
 
7.8%
사 12
 
7.2%
청 11
 
6.6%
통 8
 
4.8%
관 7
 
4.2%
복 5
 
3.0%
제 5
 
3.0%
주 3
 
1.8%
종 3
 
1.8%
원 3
 
1.8%
Other values (72) 96
57.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
91.7%
Common 13
 
7.2%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 13
 
7.8%
사 12
 
7.2%
청 11
 
6.6%
통 8
 
4.8%
관 7
 
4.2%
복 5
 
3.0%
제 5
 
3.0%
주 3
 
1.8%
종 3
 
1.8%
원 3
 
1.8%
Other values (72) 96
57.8%
Common
ValueCountFrequency (%)
12
92.3%
2 1
 
7.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
91.7%
ASCII 15
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 13
 
7.8%
사 12
 
7.2%
청 11
 
6.6%
통 8
 
4.8%
관 7
 
4.2%
복 5
 
3.0%
제 5
 
3.0%
주 3
 
1.8%
종 3
 
1.8%
원 3
 
1.8%
Other values (72) 96
57.8%
ASCII
ValueCountFrequency (%)
12
80.0%
2 1
 
6.7%
K 1
 
6.7%
T 1
 
6.7%

소재지
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T04:02:33.327430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.047619
Min length7

Characters and Unicode

Total characters232
Distinct characters63
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

Unique19 ?
Unique (%)90.5%

Sample

1st row부산시 남구 대연동
2nd row서울시 종로구 인의동
3rd row경기도 군포시 금정동
4th row서울시 관악구 남현동
5th row경기도 성남시 수정구 창곡동
ValueCountFrequency (%)
서울시 6
 
9.2%
경기도 4
 
6.2%
제주도 3
 
4.6%
제주시 3
 
4.6%
충남 2
 
3.1%
조천읍 2
 
3.1%
종로구 2
 
3.1%
부산시 2
 
3.1%
대전시 2
 
3.1%
강북구 1
 
1.5%
Other values (38) 38
58.5%
2024-03-15T04:02:34.638041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
19.0%
시 20
 
8.6%
동 18
 
7.8%
구 13
 
5.6%
제 7
 
3.0%
서 7
 
3.0%
남 7
 
3.0%
도 7
 
3.0%
주 6
 
2.6%
울 6
 
2.6%
Other values (53) 97
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
81.0%
Space Separator 44
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 20
 
10.6%
동 18
 
9.6%
구 13
 
6.9%
제 7
 
3.7%
서 7
 
3.7%
남 7
 
3.7%
도 7
 
3.7%
주 6
 
3.2%
울 6
 
3.2%
경 5
 
2.7%
Other values (52) 92
48.9%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
81.0%
Common 44
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 20
 
10.6%
동 18
 
9.6%
구 13
 
6.9%
제 7
 
3.7%
서 7
 
3.7%
남 7
 
3.7%
도 7
 
3.7%
주 6
 
3.2%
울 6
 
3.2%
경 5
 
2.7%
Other values (52) 92
48.9%
Common
ValueCountFrequency (%)
44
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
81.0%
ASCII 44
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
100.0%
Hangul
ValueCountFrequency (%)
시 20
 
10.6%
동 18
 
9.6%
구 13
 
6.9%
제 7
 
3.7%
서 7
 
3.7%
남 7
 
3.7%
도 7
 
3.7%
주 6
 
3.2%
울 6
 
3.2%
경 5
 
2.7%
Other values (52) 92
48.9%

대지면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10270.048
Minimum832
Maximum47928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T04:02:35.016167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum832
5-th percentile1112
Q11994
median3858
Q312323
95-th percentile45609
Maximum47928
Range47096
Interquartile range (IQR)10329

Descriptive statistics

Standard deviation13765.226
Coefficient of variation (CV)1.3403273
Kurtosis3.3979954
Mean10270.048
Median Absolute Deviation (MAD)2287
Skewness2.0182179
Sum215671
Variance1.8948144 × 108
MonotonicityNot monotonic
2024-03-15T04:02:35.310974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3387 1
 
4.8%
1868 1
 
4.8%
22664 1
 
4.8%
22949 1
 
4.8%
3858 1
 
4.8%
5434 1
 
4.8%
13804 1
 
4.8%
1571 1
 
4.8%
1980 1
 
4.8%
6161 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
832 1
4.8%
1112 1
4.8%
1571 1
4.8%
1868 1
4.8%
1980 1
4.8%
1994 1
4.8%
2307 1
4.8%
2342 1
4.8%
3387 1
4.8%
3680 1
4.8%
ValueCountFrequency (%)
47928 1
4.8%
45609 1
4.8%
22949 1
4.8%
22664 1
4.8%
13804 1
4.8%
12323 1
4.8%
9622 1
4.8%
6161 1
4.8%
5434 1
4.8%
4246 1
4.8%

연면적(제곱미터)
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11215.19
Minimum940
Maximum33230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T04:02:35.614115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum940
5-th percentile2594
Q15071
median9618
Q315362
95-th percentile27693
Maximum33230
Range32290
Interquartile range (IQR)10291

Descriptive statistics

Standard deviation8222.744
Coefficient of variation (CV)0.73317917
Kurtosis1.5128457
Mean11215.19
Median Absolute Deviation (MAD)5181
Skewness1.2391706
Sum235519
Variance67613519
MonotonicityNot monotonic
2024-03-15T04:02:35.957467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
17500 2
 
9.5%
9618 1
 
4.8%
940 1
 
4.8%
4416 1
 
4.8%
15579 1
 
4.8%
14094 1
 
4.8%
6902 1
 
4.8%
5071 1
 
4.8%
4510 1
 
4.8%
4437 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
940 1
4.8%
2594 1
4.8%
4416 1
4.8%
4437 1
4.8%
4510 1
4.8%
5071 1
4.8%
5180 1
4.8%
5496 1
4.8%
6902 1
4.8%
8111 1
4.8%
ValueCountFrequency (%)
33230 1
4.8%
27693 1
4.8%
17500 2
9.5%
15579 1
4.8%
15362 1
4.8%
15017 1
4.8%
14094 1
4.8%
12438 1
4.8%
9831 1
4.8%
9618 1
4.8%

사업시작
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2024-01-20 00:00:00
Maximum2024-12-23 00:00:00
2024-03-15T04:02:36.305562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:36.658283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

사업종료
Date

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2024-02-23 00:00:00
Maximum2024-12-27 00:00:00
2024-03-15T04:02:37.014709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:37.382548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

Interactions

2024-03-15T04:02:29.395990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:28.849763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:29.700562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:02:29.097983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:02:37.589760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장소재지대지면적(제곱미터)연면적(제곱미터)사업시작사업종료
사업장1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0000.9541.000
대지면적(제곱미터)1.0001.0001.0000.6230.9260.926
연면적(제곱미터)1.0001.0000.6231.0000.7650.972
사업시작1.0000.9540.9260.7651.0000.918
사업종료1.0001.0000.9260.9720.9181.000
2024-03-15T04:02:37.854709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)연면적(제곱미터)
대지면적(제곱미터)1.0000.209
연면적(제곱미터)0.2091.000

Missing values

2024-03-15T04:02:30.043053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:02:30.449521image/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

연도사업장소재지대지면적(제곱미터)연면적(제곱미터)사업시작사업종료
02023-12-31나라키움 부산 온타워부산시 남구 대연동3387150172024-09-192024-07-24
12023-12-31종로복합청사서울시 종로구 인의동1868153622024-12-192024-10-24
22023-12-31안양세관 복합청사경기도 군포시 금정동230798312024-05-202024-09-26
32023-12-31관악복합관사서울시 관악구 남현동83225942024-12-202024-11-25
42023-12-31성남 선관위 복합청사경기도 성남시 수정구 창곡동199454962024-12-212024-03-26
52023-12-31세종국책연구단지 제2연구청사세종시 반곡동9622276932024-08-222024-03-28
62023-12-31태안정책연수원충남 태안 인면읍47928124382024-01-202024-04-24
72023-12-31대전통합청사대전시 중구 선화동12323332302024-08-192024-04-25
82023-12-31부산통합관사부산시 연제구 연산동234281112024-02-202024-06-26
92023-12-31의정부통합청사경기도 의정부시 금오동368051802024-01-202024-06-25
연도사업장소재지대지면적(제곱미터)연면적(제곱미터)사업시작사업종료
112023-12-31광화문KT빌딩 리모델링서울시 종로구 세종로111296182024-03-212024-09-24
122023-12-31도봉세무서 복합개발서울시 강북구 미아동4246175002024-12-212024-04-27
132023-12-31통계청교육원 다목적교육관대전시 서구 월평동616144372024-06-202024-03-25
142023-12-31창원통합청사경남 창원시 의창구 중동198045102024-05-222024-10-26
152023-12-31용인통합청사경기도 용인시 수지구 동천동157150712024-05-222024-10-26
162023-12-31천안통합청사충남 천안시 불당동1380469022024-08-212024-06-26
172023-12-31강남통합청사서울시 강남구 율현동5434140942024-12-232024-03-29
182023-12-31나라키움 제주마루제주도 제주시 건입동3858155792024-09-192024-02-23
192023-12-31제주 해양종합훈련시설제주도 제주시 조천읍2294944162024-09-192024-04-26
202023-12-31해경 제주방제비축기지제주도 제주시 조천읍226649402024-07-202024-04-26