Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Numeric5

Dataset

Description공무원연금공단의 임원진의 업무추진비에 관한 데이터 입니다. 2022년을 기준으로 1월 12월까지의 자료가 있습니다.
URLhttps://www.data.go.kr/data/15110987/fileData.do

Alerts

경영본부장 is highly overall correlated with 고객본부장 and 2 other fieldsHigh correlation
고객본부장 is highly overall correlated with 경영본부장 and 1 other fieldsHigh correlation
연금본부장 is highly overall correlated with 경영본부장 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 경영본부장High correlation
감사 has 18 (50.0%) zerosZeros
경영본부장 has 19 (52.8%) zerosZeros
고객본부장 has 18 (50.0%) zerosZeros
복지본부장 has 21 (58.3%) zerosZeros
연금본부장 has 20 (55.6%) zerosZeros

Reproduction

Analysis started2023-12-12 00:51:03.818574
Analysis finished2023-12-12 00:51:07.373605
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집행월
Categorical

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
01월
02월
03월
04월
05월
Other values (7)
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01월
2nd row01월
3rd row01월
4th row02월
5th row02월

Common Values

ValueCountFrequency (%)
01월 3
8.3%
02월 3
8.3%
03월 3
8.3%
04월 3
8.3%
05월 3
8.3%
06월 3
8.3%
07월 3
8.3%
08월 3
8.3%
09월 3
8.3%
10월 3
8.3%
Other values (2) 6
16.7%

Length

2023-12-12T09:51:07.454587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01월 3
8.3%
02월 3
8.3%
03월 3
8.3%
04월 3
8.3%
05월 3
8.3%
06월 3
8.3%
07월 3
8.3%
08월 3
8.3%
09월 3
8.3%
10월 3
8.3%
Other values (2) 6
16.7%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
주요 업무 추진 관련 회의, 행사 등
12 
직원 사기진작(위로, 격려 등)
12 
경조사비 등
12 

Length

Max length20
Median length17
Mean length14.333333
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주요 업무 추진 관련 회의, 행사 등
2nd row직원 사기진작(위로, 격려 등)
3rd row경조사비 등
4th row주요 업무 추진 관련 회의, 행사 등
5th row직원 사기진작(위로, 격려 등)

Common Values

ValueCountFrequency (%)
주요 업무 추진 관련 회의, 행사 등 12
33.3%
직원 사기진작(위로, 격려 등) 12
33.3%
경조사비 등 12
33.3%

Length

2023-12-12T09:51:07.626551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:51:07.883594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36
23.1%
주요 12
 
7.7%
업무 12
 
7.7%
추진 12
 
7.7%
관련 12
 
7.7%
회의 12
 
7.7%
행사 12
 
7.7%
직원 12
 
7.7%
사기진작(위로 12
 
7.7%
격려 12
 
7.7%

감사
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189568.06
Minimum0
Maximum1157400
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T09:51:08.089220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4500
Q3291750
95-th percentile994725
Maximum1157400
Range1157400
Interquartile range (IQR)291750

Descriptive statistics

Standard deviation304047.8
Coefficient of variation (CV)1.6038979
Kurtosis3.9726834
Mean189568.06
Median Absolute Deviation (MAD)4500
Skewness2.0845775
Sum6824450
Variance9.2445063 × 1010
MonotonicityNot monotonic
2023-12-12T09:51:08.277660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 18
50.0%
980000 1
 
2.8%
311700 1
 
2.8%
350000 1
 
2.8%
496050 1
 
2.8%
192000 1
 
2.8%
262000 1
 
2.8%
395000 1
 
2.8%
394500 1
 
2.8%
200000 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
0 18
50.0%
9000 1
 
2.8%
85000 1
 
2.8%
100000 1
 
2.8%
105000 1
 
2.8%
158900 1
 
2.8%
192000 1
 
2.8%
200000 1
 
2.8%
262000 1
 
2.8%
289000 1
 
2.8%
ValueCountFrequency (%)
1157400 1
2.8%
1038900 1
2.8%
980000 1
2.8%
496050 1
2.8%
395000 1
2.8%
394500 1
2.8%
350000 1
2.8%
311700 1
2.8%
300000 1
2.8%
289000 1
2.8%

경영본부장
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253272.22
Minimum0
Maximum1841000
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T09:51:08.454642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3459175
95-th percentile845770
Maximum1841000
Range1841000
Interquartile range (IQR)459175

Descriptive statistics

Standard deviation406836.56
Coefficient of variation (CV)1.6063213
Kurtosis5.8307648
Mean253272.22
Median Absolute Deviation (MAD)0
Skewness2.1953384
Sum9117800
Variance1.6551599 × 1011
MonotonicityNot monotonic
2023-12-12T09:51:08.656728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 19
52.8%
696100 1
 
2.8%
713000 1
 
2.8%
372000 1
 
2.8%
640970 1
 
2.8%
22000 1
 
2.8%
553000 1
 
2.8%
487900 1
 
2.8%
236000 1
 
2.8%
145000 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 19
52.8%
22000 1
 
2.8%
51700 1
 
2.8%
105000 1
 
2.8%
145000 1
 
2.8%
236000 1
 
2.8%
372000 1
 
2.8%
396000 1
 
2.8%
449600 1
 
2.8%
487900 1
 
2.8%
ValueCountFrequency (%)
1841000 1
2.8%
1181080 1
2.8%
734000 1
2.8%
713000 1
2.8%
696100 1
2.8%
640970 1
2.8%
553000 1
2.8%
493450 1
2.8%
487900 1
2.8%
449600 1
2.8%

고객본부장
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253277.08
Minimum0
Maximum1547100
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T09:51:08.834506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32500
Q3310250
95-th percentile1152181.2
Maximum1547100
Range1547100
Interquartile range (IQR)310250

Descriptive statistics

Standard deviation408195.27
Coefficient of variation (CV)1.611655
Kurtosis3.364797
Mean253277.08
Median Absolute Deviation (MAD)32500
Skewness1.9884266
Sum9117975
Variance1.6662338 × 1011
MonotonicityNot monotonic
2023-12-12T09:51:09.005221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 18
50.0%
819050 1
 
2.8%
287000 1
 
2.8%
203500 1
 
2.8%
150000 1
 
2.8%
104000 1
 
2.8%
363000 1
 
2.8%
65000 1
 
2.8%
326000 1
 
2.8%
240000 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
0 18
50.0%
65000 1
 
2.8%
100000 1
 
2.8%
104000 1
 
2.8%
150000 1
 
2.8%
203500 1
 
2.8%
240000 1
 
2.8%
244000 1
 
2.8%
287000 1
 
2.8%
305000 1
 
2.8%
ValueCountFrequency (%)
1547100 1
2.8%
1410725 1
2.8%
1066000 1
2.8%
936000 1
2.8%
819050 1
2.8%
506900 1
2.8%
444700 1
2.8%
363000 1
2.8%
326000 1
2.8%
305000 1
2.8%

복지본부장
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265961.11
Minimum0
Maximum1474000
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T09:51:09.145406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3260100
95-th percentile1151100
Maximum1474000
Range1474000
Interquartile range (IQR)260100

Descriptive statistics

Standard deviation436960.83
Coefficient of variation (CV)1.6429501
Kurtosis0.96614522
Mean265961.11
Median Absolute Deviation (MAD)0
Skewness1.5256689
Sum9574600
Variance1.9093476 × 1011
MonotonicityNot monotonic
2023-12-12T09:51:09.322808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 21
58.3%
200000 3
 
8.3%
148750 1
 
2.8%
440400 1
 
2.8%
598000 1
 
2.8%
876800 1
 
2.8%
94600 1
 
2.8%
988000 1
 
2.8%
1237500 1
 
2.8%
1030500 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 21
58.3%
94600 1
 
2.8%
100000 1
 
2.8%
148750 1
 
2.8%
200000 3
 
8.3%
440400 1
 
2.8%
598000 1
 
2.8%
863750 1
 
2.8%
876800 1
 
2.8%
988000 1
 
2.8%
ValueCountFrequency (%)
1474000 1
 
2.8%
1237500 1
 
2.8%
1122300 1
 
2.8%
1030500 1
 
2.8%
988000 1
 
2.8%
876800 1
 
2.8%
863750 1
 
2.8%
598000 1
 
2.8%
440400 1
 
2.8%
200000 3
8.3%

연금본부장
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253307.22
Minimum0
Maximum1396080
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T09:51:09.468874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3442287.5
95-th percentile1145387.5
Maximum1396080
Range1396080
Interquartile range (IQR)442287.5

Descriptive statistics

Standard deviation404972.76
Coefficient of variation (CV)1.5987415
Kurtosis1.3297519
Mean253307.22
Median Absolute Deviation (MAD)0
Skewness1.5502793
Sum9119060
Variance1.6400293 × 1011
MonotonicityNot monotonic
2023-12-12T09:51:09.612923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 20
55.6%
153400 1
 
2.8%
579500 1
 
2.8%
348500 1
 
2.8%
461000 1
 
2.8%
744330 1
 
2.8%
727400 1
 
2.8%
44000 1
 
2.8%
936050 1
 
2.8%
111000 1
 
2.8%
Other values (7) 7
 
19.4%
ValueCountFrequency (%)
0 20
55.6%
44000 1
 
2.8%
53000 1
 
2.8%
100000 1
 
2.8%
111000 1
 
2.8%
153400 1
 
2.8%
348500 1
 
2.8%
436050 1
 
2.8%
461000 1
 
2.8%
579500 1
 
2.8%
ValueCountFrequency (%)
1396080 1
2.8%
1236850 1
2.8%
1114900 1
2.8%
936050 1
2.8%
744330 1
2.8%
727400 1
2.8%
677000 1
2.8%
579500 1
2.8%
461000 1
2.8%
436050 1
2.8%

Interactions

2023-12-12T09:51:06.070667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.063986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.513519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.974415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.495141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:06.188975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.144967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.615544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.089933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.600130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:06.318681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.232957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.705506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.182085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.726092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:06.824539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.327342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.793496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.274623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.839535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:06.953880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.419373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:04.884015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.382783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:51:05.964507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:51:09.728670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집행월구분감사경영본부장고객본부장복지본부장연금본부장
집행월1.0000.0000.4630.0000.0000.3130.000
구분0.0001.0000.0000.8680.6160.5970.679
감사0.4630.0001.0000.6990.6800.3580.711
경영본부장0.0000.8680.6991.0000.8410.7540.897
고객본부장0.0000.6160.6800.8411.0000.7540.857
복지본부장0.3130.5970.3580.7540.7541.0000.811
연금본부장0.0000.6790.7110.8970.8570.8111.000
2023-12-12T09:51:09.844567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분집행월
구분1.0000.000
집행월0.0001.000
2023-12-12T09:51:09.965809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감사경영본부장고객본부장복지본부장연금본부장집행월구분
감사1.0000.4350.4350.0310.3270.2010.000
경영본부장0.4351.0000.8540.3590.8580.0000.541
고객본부장0.4350.8541.0000.1720.7680.0000.476
복지본부장0.0310.3590.1721.0000.3500.0770.282
연금본부장0.3270.8580.7680.3501.0000.0000.466
집행월0.2010.0000.0000.0770.0001.0000.000
구분0.0000.5410.4760.2820.4660.0001.000

Missing values

2023-12-12T09:51:07.152738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:51:07.312067image/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

집행월구분감사경영본부장고객본부장복지본부장연금본부장
001월주요 업무 추진 관련 회의, 행사 등00000
101월직원 사기진작(위로, 격려 등)00000
201월경조사비 등9800000000
302월주요 업무 추진 관련 회의, 행사 등000148750153400
402월직원 사기진작(위로, 격려 등)0734000819050440400677000
502월경조사비 등00000
603월주요 업무 추진 관련 회의, 행사 등00059800053000
703월직원 사기진작(위로, 격려 등)289000118108015471008768001236850
803월경조사비 등300000002000000
904월주요 업무 추진 관련 회의, 행사 등90005170010000094600100000
집행월구분감사경영본부장고객본부장복지본부장연금본부장
2609월경조사비 등00000
2710월주요 업무 추진 관련 회의, 행사 등496050220006500000
2810월직원 사기진작(위로, 격려 등)06409703630000461000
2910월경조사비 등00000
3011월주요 업무 추진 관련 회의, 행사 등0010400000
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