Overview

Dataset statistics

Number of variables6
Number of observations390
Missing cells0
Missing cells (%)0.0%
Duplicate rows17
Duplicate rows (%)4.4%
Total size in memory19.6 KiB
Average record size in memory51.3 B

Variable types

Categorical2
Numeric3
DateTime1

Dataset

Description홈페이지에서 제공하는 메뉴의 담당부서 및 정보제공 만족도 정보(적시성, 이해 용이성, 접근성)를 제공하는 자료 입니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15069850/fileData.do

Alerts

Dataset has 17 (4.4%) duplicate rowsDuplicates
담당부서명 is highly overall correlated with 메뉴명High correlation
메뉴명 is highly overall correlated with 담당부서명High correlation
적시성(1-5) is highly overall correlated with 이해 용이성(1-5) and 1 other fieldsHigh correlation
이해 용이성(1-5) is highly overall correlated with 적시성(1-5) and 1 other fieldsHigh correlation
접근성(1-5) is highly overall correlated with 적시성(1-5) and 1 other fieldsHigh correlation
메뉴명 is highly imbalanced (58.7%)Imbalance
담당부서명 is highly imbalanced (60.7%)Imbalance
적시성(1-5) has 7 (1.8%) zerosZeros
이해 용이성(1-5) has 7 (1.8%) zerosZeros
접근성(1-5) has 7 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-12 04:53:37.568884
Analysis finished2023-12-12 04:53:38.846245
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

메뉴명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
정보목록
280 
사규
 
20
부서장 업무추진비
 
13
임원 업무추진비
 
12
분기별 채용실적
 
7
Other values (26)
58 

Length

Max length25
Median length4
Mean length5.3307692
Min length2

Unique

Unique13 ?
Unique (%)3.3%

Sample

1st row1천만원이상 공사·용역·물품 발주계획
2nd row500만원 이상 공사·용역·물품 수의계약 현황
3rd row500만원 이상 공사·용역·물품 수의계약 현황
4th row각종 기금운용계획
5th row각종 기금운용계획

Common Values

ValueCountFrequency (%)
정보목록 280
71.8%
사규 20
 
5.1%
부서장 업무추진비 13
 
3.3%
임원 업무추진비 12
 
3.1%
분기별 채용실적 7
 
1.8%
청렴도 평가결과 7
 
1.8%
공용차량 운영현황 5
 
1.3%
공직기강 감찰결과 5
 
1.3%
부패방지시책 평가결과 4
 
1.0%
사규 제·개정예고 4
 
1.0%
Other values (21) 33
 
8.5%

Length

2023-12-12T13:53:38.921161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보목록 280
56.6%
업무추진비 25
 
5.1%
사규 24
 
4.8%
임원 15
 
3.0%
부서장 13
 
2.6%
평가결과 11
 
2.2%
분기별 7
 
1.4%
채용실적 7
 
1.4%
청렴도 7
 
1.4%
공용차량 5
 
1.0%
Other values (53) 101
 
20.4%

담당부서명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
노경협력처 총무부
285 
기획처 기획부
 
25
법무실 법규송무부
 
24
감사실 청렴정책부
 
11
인사처 인재채용부
 
7
Other values (19)
38 

Length

Max length15
Median length9
Mean length8.9615385
Min length4

Unique

Unique9 ?
Unique (%)2.3%

Sample

1st row조달처 계약실 계약1부
2nd row조달처 계약실 계약1부
3rd row조달처 계약실 계약1부
4th row기획처 기획팀
5th row기획처 기획팀

Common Values

ValueCountFrequency (%)
노경협력처 총무부 285
73.1%
기획처 기획부 25
 
6.4%
법무실 법규송무부 24
 
6.2%
감사실 청렴정책부 11
 
2.8%
인사처 인재채용부 7
 
1.8%
감사실 감사총괄부 5
 
1.3%
IT운영실 IT계획부 4
 
1.0%
기획처 조직평가실 3
 
0.8%
조달처 계약실 계약1부 3
 
0.8%
조달처 자재운영부 3
 
0.8%
Other values (14) 20
 
5.1%

Length

2023-12-12T13:53:39.032163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노경협력처 288
36.7%
총무부 285
36.4%
기획처 30
 
3.8%
기획부 25
 
3.2%
법무실 24
 
3.1%
법규송무부 24
 
3.1%
감사실 16
 
2.0%
청렴정책부 11
 
1.4%
인사처 7
 
0.9%
인재채용부 7
 
0.9%
Other values (31) 67
 
8.5%

적시성(1-5)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1564103
Minimum0
Maximum5
Zeros7
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T13:53:39.134739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.7936327
Coefficient of variation (CV)0.83176783
Kurtosis-1.1289795
Mean2.1564103
Median Absolute Deviation (MAD)0
Skewness0.88408194
Sum841
Variance3.2171182
MonotonicityNot monotonic
2023-12-12T13:53:39.236454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 259
66.4%
5 104
26.7%
4 8
 
2.1%
0 7
 
1.8%
3 6
 
1.5%
2 6
 
1.5%
ValueCountFrequency (%)
0 7
 
1.8%
1 259
66.4%
2 6
 
1.5%
3 6
 
1.5%
4 8
 
2.1%
5 104
26.7%
ValueCountFrequency (%)
5 104
26.7%
4 8
 
2.1%
3 6
 
1.5%
2 6
 
1.5%
1 259
66.4%
0 7
 
1.8%

이해 용이성(1-5)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1641026
Minimum0
Maximum5
Zeros7
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T13:53:39.353644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.800812
Coefficient of variation (CV)0.83212879
Kurtosis-1.1573448
Mean2.1641026
Median Absolute Deviation (MAD)0
Skewness0.87042953
Sum844
Variance3.242924
MonotonicityNot monotonic
2023-12-12T13:53:39.450655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 260
66.7%
5 105
26.9%
4 8
 
2.1%
3 7
 
1.8%
0 7
 
1.8%
2 3
 
0.8%
ValueCountFrequency (%)
0 7
 
1.8%
1 260
66.7%
2 3
 
0.8%
3 7
 
1.8%
4 8
 
2.1%
5 105
26.9%
ValueCountFrequency (%)
5 105
26.9%
4 8
 
2.1%
3 7
 
1.8%
2 3
 
0.8%
1 260
66.7%
0 7
 
1.8%

접근성(1-5)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1512821
Minimum0
Maximum5
Zeros7
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T13:53:39.546537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.7983671
Coefficient of variation (CV)0.83595135
Kurtosis-1.1265111
Mean2.1512821
Median Absolute Deviation (MAD)0
Skewness0.88884351
Sum839
Variance3.2341243
MonotonicityNot monotonic
2023-12-12T13:53:39.653064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 262
67.2%
5 105
26.9%
3 8
 
2.1%
0 7
 
1.8%
4 6
 
1.5%
2 2
 
0.5%
ValueCountFrequency (%)
0 7
 
1.8%
1 262
67.2%
2 2
 
0.5%
3 8
 
2.1%
4 6
 
1.5%
5 105
26.9%
ValueCountFrequency (%)
5 105
26.9%
4 6
 
1.5%
3 8
 
2.1%
2 2
 
0.5%
1 262
67.2%
0 7
 
1.8%

작성일
Date

Distinct79
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2015-11-29 00:00:00
Maximum2022-04-06 00:00:00
2023-12-12T13:53:39.770004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:39.911238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T13:53:38.376362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:37.872463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.115618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.502369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:37.958146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.206734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.590131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.034004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:53:38.293657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:53:40.012066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
메뉴명담당부서명적시성(1-5)이해 용이성(1-5)접근성(1-5)작성일
메뉴명1.0000.9990.6700.6560.6820.996
담당부서명0.9991.0000.6850.6770.6940.998
적시성(1-5)0.6700.6851.0000.9800.9770.969
이해 용이성(1-5)0.6560.6770.9801.0000.9850.977
접근성(1-5)0.6820.6940.9770.9851.0000.982
작성일0.9960.9980.9690.9770.9821.000
2023-12-12T13:53:40.103632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당부서명메뉴명
담당부서명1.0000.971
메뉴명0.9711.000
2023-12-12T13:53:40.176373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적시성(1-5)이해 용이성(1-5)접근성(1-5)메뉴명담당부서명
적시성(1-5)1.0000.9900.9840.3570.341
이해 용이성(1-5)0.9901.0000.9880.3460.335
접근성(1-5)0.9840.9881.0000.3670.349
메뉴명0.3570.3460.3671.0000.971
담당부서명0.3410.3350.3490.9711.000

Missing values

2023-12-12T13:53:38.702205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:53:38.801764image/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

메뉴명담당부서명적시성(1-5)이해 용이성(1-5)접근성(1-5)작성일
01천만원이상 공사·용역·물품 발주계획조달처 계약실 계약1부1112019-01-24
1500만원 이상 공사·용역·물품 수의계약 현황조달처 계약실 계약1부4112019-05-20
2500만원 이상 공사·용역·물품 수의계약 현황조달처 계약실 계약1부3132019-10-10
3각종 기금운용계획기획처 기획팀1112018-08-28
4각종 기금운용계획기획처 기획팀5552018-12-24
5개인정보 제3자 제공현황정보보안처 사이버보안팀5552018-05-16
6공용차량 운영현황노경협력처 총무부5552015-12-01
7공용차량 운영현황노경협력처 총무부4442015-12-03
8공용차량 운영현황노경협력처 총무부5552016-10-01
9공용차량 운영현황노경협력처 총무부5552016-11-18
메뉴명담당부서명적시성(1-5)이해 용이성(1-5)접근성(1-5)작성일
380정보화사업 추진계획IT운영실 IT계획부5552018-09-27
381청렴도 평가결과감사실 청렴정책부5552015-12-10
382청렴도 평가결과감사실 청렴정책부5552015-12-13
383청렴도 평가결과감사실 청렴정책부5552016-06-11
384청렴도 평가결과감사실 청렴정책부5552016-11-18
385청렴도 평가결과감사실 청렴정책부5552018-02-01
386청렴도 평가결과감사실 청렴정책부5552018-06-07
387청렴도 평가결과감사실 청렴정책부5552021-04-06
388한울원자력본부 지역지원활동한울본부5552022-04-06
389호기별 원전연료 소요량발전처 연료수급부5552018-06-26

Duplicate rows

Most frequently occurring

메뉴명담당부서명적시성(1-5)이해 용이성(1-5)접근성(1-5)작성일# duplicates
12정보목록노경협력처 총무부1112016-10-24244
15정보목록노경협력처 총무부5552015-11-2911
11정보목록노경협력처 총무부0002015-11-307
16정보목록노경협력처 총무부5552015-12-034
2대기전력 저감우수제품 구매현황IT운영실 IT계획부5552018-01-253
0공직기강 감찰결과감사실 감사총괄부5552017-07-252
1공직기강 감찰결과감사실 감사총괄부5552018-07-182
3법인카드 관리현황재무처 자금부5552018-02-062
4부서장 업무추진비기획처 기획부5552017-08-072
5부서장 업무추진비기획처 기획부5552019-09-302