Overview

Dataset statistics

Number of variables8
Number of observations377
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory68.4 B

Variable types

Categorical5
Numeric2
Text1

Dataset

Description디브레인에 등록되어있는 국토교통부 소관에 국유재산 회계, 국유재산계정 및 재산관리관 코드,재산관리관 명칭을 확인 할 수 있는 테이블 입니다.
Author국토교통부
URLhttps://www.data.go.kr/data/15123016/fileData.do

Alerts

소관코드 has constant value ""Constant
소관부처명 has constant value ""Constant
계정명 is highly overall correlated with 회계코드 and 2 other fieldsHigh correlation
계정코드 is highly overall correlated with 회계코드 and 2 other fieldsHigh correlation
회계코드 is highly overall correlated with 회계명 and 2 other fieldsHigh correlation
회계명 is highly overall correlated with 회계코드 and 2 other fieldsHigh correlation
회계명 is highly imbalanced (62.5%)Imbalance
계정코드 is highly imbalanced (57.2%)Imbalance
계정명 is highly imbalanced (58.4%)Imbalance
재산관리관 코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:10:40.577731
Analysis finished2023-12-12 21:10:41.545225
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
95
377 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row95
2nd row95
3rd row95
4th row95
5th row95

Common Values

ValueCountFrequency (%)
95 377
100.0%

Length

2023-12-13T06:10:41.951432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:10:42.047325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
95 377
100.0%

소관부처명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
국토교통부
377 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국토교통부 377
100.0%

Length

2023-12-13T06:10:42.154095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:10:42.269887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국토교통부 377
100.0%

회계코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.75862
Minimum110
Maximum521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-13T06:10:42.386554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile110
Q1110
median110
Q3110
95-th percentile229
Maximum521
Range411
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.498485
Coefficient of variation (CV)0.39407063
Kurtosis10.53936
Mean135.75862
Median Absolute Deviation (MAD)0
Skewness2.6258166
Sum51181
Variance2862.0879
MonotonicityNot monotonic
2023-12-13T06:10:42.510425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
110 295
78.2%
214 45
 
11.9%
229 21
 
5.6%
225 12
 
3.2%
212 1
 
0.3%
429 1
 
0.3%
430 1
 
0.3%
521 1
 
0.3%
ValueCountFrequency (%)
110 295
78.2%
212 1
 
0.3%
214 45
 
11.9%
225 12
 
3.2%
229 21
 
5.6%
429 1
 
0.3%
430 1
 
0.3%
521 1
 
0.3%
ValueCountFrequency (%)
521 1
 
0.3%
430 1
 
0.3%
429 1
 
0.3%
229 21
 
5.6%
225 12
 
3.2%
214 45
 
11.9%
212 1
 
0.3%
110 295
78.2%

회계명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
일반회계
295 
교통시설특별회계
45 
국가균형발전특별회계
 
21
토지관리및지역균형개발특별회계
 
12
국유재산관리특별회계
 
1
Other values (3)
 
3

Length

Max length15
Median length4
Mean length5.2095491
Min length4

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 295
78.2%
교통시설특별회계 45
 
11.9%
국가균형발전특별회계 21
 
5.6%
토지관리및지역균형개발특별회계 12
 
3.2%
국유재산관리특별회계 1
 
0.3%
국토지리정보원 1
 
0.3%
대구국도유지건설사무소 1
 
0.3%
국민주택기금 1
 
0.3%

Length

2023-12-13T06:10:42.628379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:10:42.749696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계 295
78.2%
교통시설특별회계 45
 
11.9%
국가균형발전특별회계 21
 
5.6%
토지관리및지역균형개발특별회계 12
 
3.2%
국유재산관리특별회계 1
 
0.3%
국토지리정보원 1
 
0.3%
대구국도유지건설사무소 1
 
0.3%
국민주택기금 1
 
0.3%

계정코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
308 
1
55 
2
 
8
3
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 308
81.7%
1 55
 
14.6%
2 8
 
2.1%
3 6
 
1.6%

Length

2023-12-13T06:10:42.872808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:10:42.987223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 308
81.7%
1 55
 
14.6%
2 8
 
2.1%
3 6
 
1.6%

계정명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
295 
도로계정
31 
지역개발사업계정
 
21
<NA>
 
13
철도계정
 
8
Other values (3)
 
9

Length

Max length8
Median length3
Mean length3.4456233
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
295
78.2%
도로계정 31
 
8.2%
지역개발사업계정 21
 
5.6%
<NA> 13
 
3.4%
철도계정 8
 
2.1%
공항계정 6
 
1.6%
자본계정 2
 
0.5%
재산관리계정 1
 
0.3%

Length

2023-12-13T06:10:43.089387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:10:43.214435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로계정 31
37.8%
지역개발사업계정 21
25.6%
na 13
15.9%
철도계정 8
 
9.8%
공항계정 6
 
7.3%
자본계정 2
 
2.4%
재산관리계정 1
 
1.2%

재산관리관 코드
Real number (ℝ)

UNIQUE 

Distinct377
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2668812.3
Minimum2000616
Maximum8000359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-13T06:10:43.377723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000616
5-th percentile2006701.2
Q12017002
median2127505
Q32244805
95-th percentile6201156.6
Maximum8000359
Range5999743
Interquartile range (IQR)227803

Descriptive statistics

Standard deviation1358767.6
Coefficient of variation (CV)0.5091282
Kurtosis4.1534447
Mean2668812.3
Median Absolute Deviation (MAD)110890
Skewness2.3218917
Sum1.0061422 × 109
Variance1.8462493 × 1012
MonotonicityNot monotonic
2023-12-13T06:10:43.506667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000616 1
 
0.3%
2161607 1
 
0.3%
2163507 1
 
0.3%
2163207 1
 
0.3%
2163007 1
 
0.3%
2162803 1
 
0.3%
2162607 1
 
0.3%
2162407 1
 
0.3%
2162207 1
 
0.3%
2162008 1
 
0.3%
Other values (367) 367
97.3%
ValueCountFrequency (%)
2000616 1
0.3%
2000817 1
0.3%
2000916 1
0.3%
2001016 1
0.3%
2001116 1
0.3%
2001216 1
0.3%
2001316 1
0.3%
2001415 1
0.3%
2001516 1
0.3%
2001615 1
0.3%
ValueCountFrequency (%)
8000359 1
0.3%
7013935 1
0.3%
7013122 1
0.3%
7012939 1
0.3%
7012845 1
0.3%
7012364 1
0.3%
7012216 1
0.3%
7012191 1
0.3%
7012139 1
0.3%
7011490 1
0.3%

재산관리관
Text

Distinct331
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T06:10:43.727088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length21.549072
Min length12

Characters and Unicode

Total characters8124
Distinct characters177
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)76.1%

Sample

1st row강원도 강릉시 재산관리관
2nd row강원도 동해시 건설국 건설과 재산관리관
3rd row강원도 삼척시 산업건설국 건설과 재산관리관
4th row강원도 속초시 건설과 재산관리관
5th row강원도 양구군 건설방재과 재산관리관
ValueCountFrequency (%)
재산관리관 377
25.1%
건설과 123
 
8.2%
국토교통부 79
 
5.3%
건설교통국 40
 
2.7%
경기도 37
 
2.5%
한국토지공사 30
 
2.0%
서울특별시 28
 
1.9%
경상북도 25
 
1.7%
전라남도 22
 
1.5%
건설도시국 22
 
1.5%
Other values (350) 719
47.9%
2023-12-13T06:10:44.048789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1125
 
13.8%
관 837
 
10.3%
리 461
 
5.7%
산 456
 
5.6%
재 401
 
4.9%
국 328
 
4.0%
도 316
 
3.9%
설 297
 
3.7%
건 289
 
3.6%
시 240
 
3.0%
Other values (167) 3374
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6963
85.7%
Space Separator 1125
 
13.8%
Uppercase Letter 18
 
0.2%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 837
 
12.0%
리 461
 
6.6%
산 456
 
6.5%
재 401
 
5.8%
국 328
 
4.7%
도 316
 
4.5%
설 297
 
4.3%
건 289
 
4.2%
시 240
 
3.4%
과 203
 
2.9%
Other values (162) 3135
45.0%
Uppercase Letter
ValueCountFrequency (%)
G 9
50.0%
B 9
50.0%
Space Separator
ValueCountFrequency (%)
1125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6963
85.7%
Common 1143
 
14.1%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 837
 
12.0%
리 461
 
6.6%
산 456
 
6.5%
재 401
 
5.8%
국 328
 
4.7%
도 316
 
4.5%
설 297
 
4.3%
건 289
 
4.2%
시 240
 
3.4%
과 203
 
2.9%
Other values (162) 3135
45.0%
Common
ValueCountFrequency (%)
1125
98.4%
( 9
 
0.8%
) 9
 
0.8%
Latin
ValueCountFrequency (%)
G 9
50.0%
B 9
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6963
85.7%
ASCII 1161
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1125
96.9%
( 9
 
0.8%
G 9
 
0.8%
B 9
 
0.8%
) 9
 
0.8%
Hangul
ValueCountFrequency (%)
관 837
 
12.0%
리 461
 
6.6%
산 456
 
6.5%
재 401
 
5.8%
국 328
 
4.7%
도 316
 
4.5%
설 297
 
4.3%
건 289
 
4.2%
시 240
 
3.4%
과 203
 
2.9%
Other values (162) 3135
45.0%

Interactions

2023-12-13T06:10:41.106851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:10:40.919839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:10:41.200909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:10:41.009395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:10:44.142203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계코드회계명계정코드계정명재산관리관 코드
회계코드1.0001.0000.8601.0000.556
회계명1.0001.0000.9040.9460.762
계정코드0.8600.9041.0001.0000.807
계정명1.0000.9461.0001.0000.679
재산관리관 코드0.5560.7620.8070.6791.000
2023-12-13T06:10:44.244712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계정명계정코드회계명
계정명1.0000.9960.891
계정코드0.9961.0000.602
회계명0.8910.6021.000
2023-12-13T06:10:44.341357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계코드재산관리관 코드회계명계정코드계정명
회계코드1.000-0.0080.9950.5190.994
재산관리관 코드-0.0081.0000.3490.4720.449
회계명0.9950.3491.0000.6020.891
계정코드0.5190.4720.6021.0000.996
계정명0.9940.4490.8910.9961.000

Missing values

2023-12-13T06:10:41.340672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:10:41.493119image/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

소관코드소관부처명회계코드회계명계정코드계정명재산관리관 코드재산관리관
095국토교통부110일반회계02000616강원도 강릉시 재산관리관
195국토교통부110일반회계02000817강원도 동해시 건설국 건설과 재산관리관
295국토교통부110일반회계02000916강원도 삼척시 산업건설국 건설과 재산관리관
395국토교통부110일반회계02001016강원도 속초시 건설과 재산관리관
495국토교통부110일반회계02001116강원도 양구군 건설방재과 재산관리관
595국토교통부110일반회계02001216강원도 양양군 건설과 재산관리관
695국토교통부110일반회계02001316강원도 영월군 건설과 재산관리관
795국토교통부110일반회계02001415강원도 원주시 재산관리관
895국토교통부110일반회계02001516강원도 인제군 건설과 재산관리관
995국토교통부110일반회계02001615강원도 정선군 건설과 재산관리관
소관코드소관부처명회계코드회계명계정코드계정명재산관리관 코드재산관리관
36795국토교통부110일반회계04001244충청북도 영동군 건설교통과 재산관리관
36895국토교통부110일반회계04002635서울특별시 마포구 건설교통국 토목과 재산관리관
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