Overview

Dataset statistics

Number of variables13
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory112.0 B

Variable types

Numeric6
Text2
Categorical3
DateTime2

Dataset

Description당진시 지방보조금통합관리시스템에서 관리하는 보조사업예산비목에 대한 데이터로 관리번호,사업관리번호,예산비목코드,대분류코드,중분류코드,소분류코드등의 항목을 제공합니다.
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15091603/fileData.do

Alerts

중분류명 is highly overall correlated with 소분류명High correlation
소분류명 is highly overall correlated with 중분류명High correlation
관리번호 is highly overall correlated with 사업관리번호 and 5 other fieldsHigh correlation
사업관리번호 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
예산비목코드 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
대분류코드 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
중분류코드 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
소분류코드 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
작성자 is highly overall correlated with 관리번호 and 5 other fieldsHigh correlation
관리번호 has unique valuesUnique
예산비목코드 has unique valuesUnique
대분류코드 has unique valuesUnique
중분류코드 has unique valuesUnique
소분류코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:46:11.160614
Analysis finished2023-12-12 06:46:15.665867
Duration4.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1899.0152
Minimum1849
Maximum1947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:15.762104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1849
5-th percentile1852.25
Q11878.25
median1894.5
Q31920.75
95-th percentile1943.75
Maximum1947
Range98
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation28.205015
Coefficient of variation (CV)0.014852443
Kurtosis-0.97375385
Mean1899.0152
Median Absolute Deviation (MAD)21.5
Skewness0.13280512
Sum125335
Variance795.52284
MonotonicityNot monotonic
2023-12-12T15:46:15.943159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1849 1
 
1.5%
1922 1
 
1.5%
1898 1
 
1.5%
1899 1
 
1.5%
1900 1
 
1.5%
1901 1
 
1.5%
1902 1
 
1.5%
1918 1
 
1.5%
1909 1
 
1.5%
1914 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1849 1
1.5%
1850 1
1.5%
1851 1
1.5%
1852 1
1.5%
1853 1
1.5%
1854 1
1.5%
1868 1
1.5%
1869 1
1.5%
1870 1
1.5%
1871 1
1.5%
ValueCountFrequency (%)
1947 1
1.5%
1946 1
1.5%
1945 1
1.5%
1944 1
1.5%
1943 1
1.5%
1942 1
1.5%
1941 1
1.5%
1940 1
1.5%
1939 1
1.5%
1938 1
1.5%

사업관리번호
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2748.2879
Minimum2647
Maximum2859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:16.088867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2647
5-th percentile2647
Q12711.25
median2745.5
Q32790
95-th percentile2856
Maximum2859
Range212
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation67.345211
Coefficient of variation (CV)0.024504424
Kurtosis-0.7918696
Mean2748.2879
Median Absolute Deviation (MAD)44.5
Skewness0.19960408
Sum181387
Variance4535.3774
MonotonicityNot monotonic
2023-12-12T15:46:16.234568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2853 8
 
12.1%
2749 6
 
9.1%
2647 5
 
7.6%
2752 4
 
6.1%
2790 4
 
6.1%
2649 4
 
6.1%
2856 3
 
4.5%
2648 2
 
3.0%
2739 2
 
3.0%
2745 2
 
3.0%
Other values (23) 26
39.4%
ValueCountFrequency (%)
2647 5
7.6%
2648 2
 
3.0%
2649 4
6.1%
2679 1
 
1.5%
2693 1
 
1.5%
2694 2
 
3.0%
2697 1
 
1.5%
2711 1
 
1.5%
2712 1
 
1.5%
2713 1
 
1.5%
ValueCountFrequency (%)
2859 1
 
1.5%
2857 1
 
1.5%
2856 3
 
4.5%
2853 8
12.1%
2807 1
 
1.5%
2796 1
 
1.5%
2790 4
6.1%
2760 1
 
1.5%
2754 1
 
1.5%
2752 4
6.1%

예산비목코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8990352 × 1013
Minimum1.84902 × 1013
Maximum1.94702 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:16.420457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.84902 × 1013
5-th percentile1.85227 × 1013
Q11.87827 × 1013
median1.89452 × 1013
Q31.92077 × 1013
95-th percentile1.94377 × 1013
Maximum1.94702 × 1013
Range9.8 × 1011
Interquartile range (IQR)4.25 × 1011

Descriptive statistics

Standard deviation2.8205015 × 1011
Coefficient of variation (CV)0.014852287
Kurtosis-0.97375385
Mean1.8990352 × 1013
Median Absolute Deviation (MAD)2.15 × 1011
Skewness0.13280512
Sum1.2533632 × 1015
Variance7.9552284 × 1022
MonotonicityNot monotonic
2023-12-12T15:46:16.578380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18490200000000 1
 
1.5%
19220200000000 1
 
1.5%
18980200000000 1
 
1.5%
18990200000000 1
 
1.5%
19000200000000 1
 
1.5%
19010200000000 1
 
1.5%
19020200000000 1
 
1.5%
19180200000000 1
 
1.5%
19090200000000 1
 
1.5%
19140200000000 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
18490200000000 1
1.5%
18500200000000 1
1.5%
18510200000000 1
1.5%
18520200000000 1
1.5%
18530200000000 1
1.5%
18540200000000 1
1.5%
18680200000000 1
1.5%
18690200000000 1
1.5%
18700200000000 1
1.5%
18710200000000 1
1.5%
ValueCountFrequency (%)
19470200000000 1
1.5%
19460200000000 1
1.5%
19450200000000 1
1.5%
19440200000000 1
1.5%
19430200000000 1
1.5%
19420200000000 1
1.5%
19410200000000 1
1.5%
19400200000000 1
1.5%
19390200000000 1
1.5%
19380200000000 1
1.5%

대분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1899.0152
Minimum1849
Maximum1947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:16.758092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1849
5-th percentile1852.25
Q11878.25
median1894.5
Q31920.75
95-th percentile1943.75
Maximum1947
Range98
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation28.205015
Coefficient of variation (CV)0.014852443
Kurtosis-0.97375385
Mean1899.0152
Median Absolute Deviation (MAD)21.5
Skewness0.13280512
Sum125335
Variance795.52284
MonotonicityNot monotonic
2023-12-12T15:46:16.916090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1849 1
 
1.5%
1922 1
 
1.5%
1898 1
 
1.5%
1899 1
 
1.5%
1900 1
 
1.5%
1901 1
 
1.5%
1902 1
 
1.5%
1918 1
 
1.5%
1909 1
 
1.5%
1914 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1849 1
1.5%
1850 1
1.5%
1851 1
1.5%
1852 1
1.5%
1853 1
1.5%
1854 1
1.5%
1868 1
1.5%
1869 1
1.5%
1870 1
1.5%
1871 1
1.5%
ValueCountFrequency (%)
1947 1
1.5%
1946 1
1.5%
1945 1
1.5%
1944 1
1.5%
1943 1
1.5%
1942 1
1.5%
1941 1
1.5%
1940 1
1.5%
1939 1
1.5%
1938 1
1.5%

대분류명
Text

Distinct33
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T15:46:17.186930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length15.484848
Min length7

Characters and Unicode

Total characters1022
Distinct characters174
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)30.3%

Sample

1st row당진시서예교실운영
2nd row당진시서예교실운영
3rd row한국예총당진지회운영지원
4th row한국예총당진지회운영지원
5th row한국예총당진지회운영지원
ValueCountFrequency (%)
제15회당진시우수광고물전시회보조금지원 8
 
12.1%
발달장애인자립생활지원프로그램운영 6
 
9.1%
당진시지속가능발전협의회운영비 5
 
7.6%
주민협의체도시재생활성화제안사업(면천면 4
 
6.1%
현대제철및산업단지주변민간환경감시사업 4
 
6.1%
한국예총당진지회운영지원 4
 
6.1%
당진시택시콜센터구축사업 3
 
4.5%
철분코팅벼직파재배실증시범 2
 
3.0%
당진시서예교실운영 2
 
3.0%
콩재배환경개선안전생산시범 2
 
3.0%
Other values (23) 26
39.4%
2023-12-12T15:46:17.634527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 66
 
6.5%
지 37
 
3.6%
회 33
 
3.2%
진 27
 
2.6%
당 25
 
2.4%
운 23
 
2.3%
원 23
 
2.3%
범 21
 
2.1%
영 20
 
2.0%
업 17
 
1.7%
Other values (164) 730
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 978
95.7%
Decimal Number 36
 
3.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 66
 
6.7%
지 37
 
3.8%
회 33
 
3.4%
진 27
 
2.8%
당 25
 
2.6%
운 23
 
2.4%
원 23
 
2.4%
범 21
 
2.1%
영 20
 
2.0%
업 17
 
1.7%
Other values (158) 686
70.1%
Decimal Number
ValueCountFrequency (%)
1 13
36.1%
2 10
27.8%
5 8
22.2%
0 5
 
13.9%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 978
95.7%
Common 44
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 66
 
6.7%
지 37
 
3.8%
회 33
 
3.4%
진 27
 
2.8%
당 25
 
2.6%
운 23
 
2.4%
원 23
 
2.4%
범 21
 
2.1%
영 20
 
2.0%
업 17
 
1.7%
Other values (158) 686
70.1%
Common
ValueCountFrequency (%)
1 13
29.5%
2 10
22.7%
5 8
18.2%
0 5
 
11.4%
) 4
 
9.1%
( 4
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 978
95.7%
ASCII 44
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 66
 
6.7%
지 37
 
3.8%
회 33
 
3.4%
진 27
 
2.8%
당 25
 
2.6%
운 23
 
2.4%
원 23
 
2.4%
범 21
 
2.1%
영 20
 
2.0%
업 17
 
1.7%
Other values (158) 686
70.1%
ASCII
ValueCountFrequency (%)
1 13
29.5%
2 10
22.7%
5 8
18.2%
0 5
 
11.4%
) 4
 
9.1%
( 4
 
9.1%

중분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1899.0152
Minimum1849
Maximum1947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:17.802210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1849
5-th percentile1852.25
Q11878.25
median1894.5
Q31920.75
95-th percentile1943.75
Maximum1947
Range98
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation28.205015
Coefficient of variation (CV)0.014852443
Kurtosis-0.97375385
Mean1899.0152
Median Absolute Deviation (MAD)21.5
Skewness0.13280512
Sum125335
Variance795.52284
MonotonicityNot monotonic
2023-12-12T15:46:17.965168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1849 1
 
1.5%
1922 1
 
1.5%
1898 1
 
1.5%
1899 1
 
1.5%
1900 1
 
1.5%
1901 1
 
1.5%
1902 1
 
1.5%
1918 1
 
1.5%
1909 1
 
1.5%
1914 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1849 1
1.5%
1850 1
1.5%
1851 1
1.5%
1852 1
1.5%
1853 1
1.5%
1854 1
1.5%
1868 1
1.5%
1869 1
1.5%
1870 1
1.5%
1871 1
1.5%
ValueCountFrequency (%)
1947 1
1.5%
1946 1
1.5%
1945 1
1.5%
1944 1
1.5%
1943 1
1.5%
1942 1
1.5%
1941 1
1.5%
1940 1
1.5%
1939 1
1.5%
1938 1
1.5%

중분류명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
민간자본보조
10 
자산취득비
6 
재료비
5 
행사비
4 
운영비
4 
Other values (27)
37 

Length

Max length8
Median length7
Mean length4.1666667
Min length2

Unique

Unique22 ?
Unique (%)33.3%

Sample

1st row강사료
2nd row교재교구비
3rd row공공요금
4th row급여
5th row임차료

Common Values

ValueCountFrequency (%)
민간자본보조 10
15.2%
자산취득비 6
 
9.1%
재료비 5
 
7.6%
행사비 4
 
6.1%
운영비 4
 
6.1%
기타운영비 4
 
6.1%
시설비 3
 
4.5%
강사료 3
 
4.5%
인건비 3
 
4.5%
임차료 2
 
3.0%
Other values (22) 22
33.3%

Length

2023-12-12T15:46:18.137711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
민간자본보조 10
14.9%
자산취득비 6
 
9.0%
재료비 5
 
7.5%
행사비 4
 
6.0%
운영비 4
 
6.0%
기타운영비 4
 
6.0%
시설비 3
 
4.5%
강사료 3
 
4.5%
인건비 3
 
4.5%
임차료 2
 
3.0%
Other values (23) 23
34.3%

소분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1899.0152
Minimum1849
Maximum1947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T15:46:18.292900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1849
5-th percentile1852.25
Q11878.25
median1894.5
Q31920.75
95-th percentile1943.75
Maximum1947
Range98
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation28.205015
Coefficient of variation (CV)0.014852443
Kurtosis-0.97375385
Mean1899.0152
Median Absolute Deviation (MAD)21.5
Skewness0.13280512
Sum125335
Variance795.52284
MonotonicityNot monotonic
2023-12-12T15:46:18.470672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1849 1
 
1.5%
1922 1
 
1.5%
1898 1
 
1.5%
1899 1
 
1.5%
1900 1
 
1.5%
1901 1
 
1.5%
1902 1
 
1.5%
1918 1
 
1.5%
1909 1
 
1.5%
1914 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1849 1
1.5%
1850 1
1.5%
1851 1
1.5%
1852 1
1.5%
1853 1
1.5%
1854 1
1.5%
1868 1
1.5%
1869 1
1.5%
1870 1
1.5%
1871 1
1.5%
ValueCountFrequency (%)
1947 1
1.5%
1946 1
1.5%
1945 1
1.5%
1944 1
1.5%
1943 1
1.5%
1942 1
1.5%
1941 1
1.5%
1940 1
1.5%
1939 1
1.5%
1938 1
1.5%

소분류명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
민간자본보조
10 
자산취득비
6 
재료비
5 
행사비
4 
운영비
4 
Other values (27)
37 

Length

Max length8
Median length7
Mean length4.1666667
Min length2

Unique

Unique22 ?
Unique (%)33.3%

Sample

1st row강사료
2nd row교재교구비
3rd row공공요금
4th row급여
5th row임차료

Common Values

ValueCountFrequency (%)
민간자본보조 10
15.2%
자산취득비 6
 
9.1%
재료비 5
 
7.6%
행사비 4
 
6.1%
운영비 4
 
6.1%
기타운영비 4
 
6.1%
시설비 3
 
4.5%
강사료 3
 
4.5%
인건비 3
 
4.5%
임차료 2
 
3.0%
Other values (22) 22
33.3%

Length

2023-12-12T15:46:18.638878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
민간자본보조 10
14.9%
자산취득비 6
 
9.0%
재료비 5
 
7.5%
행사비 4
 
6.0%
운영비 4
 
6.0%
기타운영비 4
 
6.0%
시설비 3
 
4.5%
강사료 3
 
4.5%
인건비 3
 
4.5%
임차료 2
 
3.0%
Other values (23) 23
34.3%

예산비목설명
Text

Distinct41
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T15:46:18.912257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length14
Mean length5.2878788
Min length2

Characters and Unicode

Total characters349
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)47.0%

Sample

1st row강사료
2nd row교재교구비
3rd row공공요금
4th row급여
5th row임차료
ValueCountFrequency (%)
민간자본보조 10
 
11.2%
등 6
 
6.7%
구입 6
 
6.7%
자산취득비 4
 
4.5%
행사비 4
 
4.5%
기타운영비 3
 
3.4%
운영비 3
 
3.4%
강사료 3
 
3.4%
자재 2
 
2.2%
공공요금 2
 
2.2%
Other values (41) 46
51.7%
2023-12-12T15:46:19.351154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 44
 
12.6%
23
 
6.6%
자 17
 
4.9%
사 14
 
4.0%
보 12
 
3.4%
간 11
 
3.2%
민 10
 
2.9%
본 10
 
2.9%
조 10
 
2.9%
료 10
 
2.9%
Other values (80) 188
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
92.3%
Space Separator 23
 
6.6%
Decimal Number 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 44
 
13.7%
자 17
 
5.3%
사 14
 
4.3%
보 12
 
3.7%
간 11
 
3.4%
민 10
 
3.1%
본 10
 
3.1%
조 10
 
3.1%
료 10
 
3.1%
운 8
 
2.5%
Other values (75) 176
54.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
92.3%
Common 27
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 44
 
13.7%
자 17
 
5.3%
사 14
 
4.3%
보 12
 
3.7%
간 11
 
3.4%
민 10
 
3.1%
본 10
 
3.1%
조 10
 
3.1%
료 10
 
3.1%
운 8
 
2.5%
Other values (75) 176
54.7%
Common
ValueCountFrequency (%)
23
85.2%
( 1
 
3.7%
4 1
 
3.7%
) 1
 
3.7%
2 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
92.3%
ASCII 27
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 44
 
13.7%
자 17
 
5.3%
사 14
 
4.3%
보 12
 
3.7%
간 11
 
3.4%
민 10
 
3.1%
본 10
 
3.1%
조 10
 
3.1%
료 10
 
3.1%
운 8
 
2.5%
Other values (75) 176
54.7%
ASCII
ValueCountFrequency (%)
23
85.2%
( 1
 
3.7%
4 1
 
3.7%
) 1
 
3.7%
2 1
 
3.7%

작성자
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size660.0 B
원주현
10 
조세미
8 
차정민
8 
성기쁜
7 
박진우
6 
Other values (8)
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
원주현 10
15.2%
조세미 8
12.1%
차정민 8
12.1%
성기쁜 7
10.6%
박진우 6
9.1%
남슬기 5
7.6%
유민재 5
7.6%
김홍희 4
 
6.1%
박정은 4
 
6.1%
국동현 4
 
6.1%
Other values (3) 5
7.6%

Length

2023-12-12T15:46:19.523547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주현 10
15.2%
조세미 8
12.1%
차정민 8
12.1%
성기쁜 7
10.6%
박진우 6
9.1%
남슬기 5
7.6%
유민재 5
7.6%
김홍희 4
 
6.1%
박정은 4
 
6.1%
국동현 4
 
6.1%
Other values (3) 5
7.6%

작성일
Date

Distinct22
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2021-01-27 00:00:00
Maximum2021-08-30 00:00:00
2023-12-12T15:46:19.636679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:19.763129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

변경일
Date

Distinct22
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2021-01-27 00:00:00
Maximum2021-08-30 00:00:00
2023-12-12T15:46:19.934030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:20.100161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

Interactions

2023-12-12T15:46:14.835036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:11.923010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.505320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.970557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.472777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.228443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.912521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.019306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.583488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.081391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.540777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.302578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.995506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.148045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.659764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.154467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.619438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.379069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:15.081095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.253873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.738100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.228460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.696595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.491389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:15.153459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.336200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.814754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.312796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.786479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.654227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:15.225752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.424090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:12.888095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.401219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:13.857670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:14.755066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:46:20.212976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호사업관리번호예산비목코드대분류코드대분류명중분류코드중분류명소분류코드소분류명예산비목설명작성자작성일변경일
관리번호1.0000.9521.0001.0000.9421.0000.8561.0000.8560.8970.9020.9520.952
사업관리번호0.9521.0000.9520.9521.0000.9520.6550.9520.6550.0000.9130.9950.995
예산비목코드1.0000.9521.0001.0000.9421.0000.8561.0000.8560.8970.9020.9520.952
대분류코드1.0000.9521.0001.0000.9421.0000.8561.0000.8560.8970.9020.9520.952
대분류명0.9421.0000.9420.9421.0000.9420.0000.9420.0000.0001.0001.0001.000
중분류코드1.0000.9521.0001.0000.9421.0000.8561.0000.8560.8970.9020.9520.952
중분류명0.8560.6550.8560.8560.0000.8561.0000.8561.0001.0000.8550.0000.000
소분류코드1.0000.9521.0001.0000.9421.0000.8561.0000.8560.8970.9020.9520.952
소분류명0.8560.6550.8560.8560.0000.8561.0000.8561.0001.0000.8550.0000.000
예산비목설명0.8970.0000.8970.8970.0000.8971.0000.8971.0001.0000.8710.0000.000
작성자0.9020.9130.9020.9021.0000.9020.8550.9020.8550.8711.0000.9960.996
작성일0.9520.9950.9520.9521.0000.9520.0000.9520.0000.0000.9961.0001.000
변경일0.9520.9950.9520.9521.0000.9520.0000.9520.0000.0000.9961.0001.000
2023-12-12T15:46:20.366449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중분류명작성자소분류명
중분류명1.0000.3671.000
작성자0.3671.0000.367
소분류명1.0000.3671.000
2023-12-12T15:46:20.488163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호사업관리번호예산비목코드대분류코드중분류코드소분류코드중분류명소분류명작성자
관리번호1.0000.9561.0001.0001.0001.0000.3840.3840.660
사업관리번호0.9561.0000.9560.9560.9560.9560.1900.1900.683
예산비목코드1.0000.9561.0001.0001.0001.0000.3840.3840.660
대분류코드1.0000.9561.0001.0001.0001.0000.3840.3840.660
중분류코드1.0000.9561.0001.0001.0001.0000.3840.3840.660
소분류코드1.0000.9561.0001.0001.0001.0000.3840.3840.660
중분류명0.3840.1900.3840.3840.3840.3841.0001.0000.367
소분류명0.3840.1900.3840.3840.3840.3841.0001.0000.367
작성자0.6600.6830.6600.6600.6600.6600.3670.3671.000

Missing values

2023-12-12T15:46:15.382072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:46:15.592302image/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

관리번호사업관리번호예산비목코드대분류코드대분류명중분류코드중분류명소분류코드소분류명예산비목설명작성자작성일변경일
018492648184902000000001849당진시서예교실운영1849강사료1849강사료강사료성기쁜2021-01-272021-01-27
118502648185002000000001850당진시서예교실운영1850교재교구비1850교재교구비교재교구비성기쁜2021-01-272021-01-27
218512649185102000000001851한국예총당진지회운영지원1851공공요금1851공공요금공공요금성기쁜2021-01-272021-01-27
318522649185202000000001852한국예총당진지회운영지원1852급여1852급여급여성기쁜2021-01-272021-01-27
418532649185302000000001853한국예총당진지회운영지원1853임차료1853임차료임차료성기쁜2021-01-272021-01-27
518542649185402000000001854한국예총당진지회운영지원1854운영비1854운영비운영비성기쁜2021-01-272021-01-27
618692647186902000000001869당진시지속가능발전협의회운영비1869인건비1869인건비급여 직책수당 기타수당 등남슬기2021-02-172021-02-17
718682647186802000000001868당진시지속가능발전협의회운영비1868일반수용비1868일반수용비임대료 공공요금 수용비 등남슬기2021-02-172021-02-17
818702647187002000000001870당진시지속가능발전협의회운영비1870법정부담금1870법정부담금4대보험 퇴직(적립)금 등남슬기2021-02-172021-02-17
918712647187102000000001871당진시지속가능발전협의회운영비1871운영비1871운영비총회및분과운영비 관외출장비 네트워크및공모사업참여비 등남슬기2021-02-172021-02-17
관리번호사업관리번호예산비목코드대분류코드대분류명중분류코드중분류명소분류코드소분류명예산비목설명작성자작성일변경일
5619382853193802000000001938제15회당진시우수광고물전시회보조금지원1938인쇄비1938인쇄비인쇄비차정민2021-08-182021-08-18
5719392853193902000000001939제15회당진시우수광고물전시회보조금지원1939임차료1939임차료임차료차정민2021-08-182021-08-18
5819402853194002000000001940제15회당진시우수광고물전시회보조금지원1940전시작품비1940전시작품비작품지원비차정민2021-08-182021-08-18
5919412853194102000000001941제15회당진시우수광고물전시회보조금지원1941행사비1941행사비행사비차정민2021-08-182021-08-18
6019422853194202000000001942제15회당진시우수광고물전시회보조금지원1942홍보비1942홍보비홍보비차정민2021-08-182021-08-18
6119432856194302000000001943당진시택시콜센터구축사업1943사무용품비1943사무용품비사무용품비국동현2021-08-192021-08-19
6219442856194402000000001944당진시택시콜센터구축사업1944시설비1944시설비시설비국동현2021-08-192021-08-19
6319452856194502000000001945당진시택시콜센터구축사업1945자산취득비1945자산취득비자산취득비국동현2021-08-192021-08-19
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