Overview

Dataset statistics

Number of variables8
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory71.5 B

Variable types

DateTime1
Categorical1
Numeric6

Dataset

Description한국수력원자력의 중저준위 방사성폐기물 관리현황에 대한 데이터로 원전 본부별 / 월별 방폐물 드럼 저장실적을 제공합니다.
URLhttps://www.data.go.kr/data/15053522/fileData.do

Alerts

구분 has constant value ""Constant
고리본부(드럼) is highly overall correlated with 새울본부(드럼) and 1 other fieldsHigh correlation
새울본부(드럼) is highly overall correlated with 고리본부(드럼) and 1 other fieldsHigh correlation
월성본부(드럼) is highly overall correlated with 고리본부(드럼) and 1 other fieldsHigh correlation
한빛본부(드럼) is highly overall correlated with 한울본부(드럼) and 1 other fieldsHigh correlation
한울본부(드럼) is highly overall correlated with 한빛본부(드럼) and 1 other fieldsHigh correlation
합계(드럼) is highly overall correlated with 한빛본부(드럼) and 1 other fieldsHigh correlation
연도-월-일 has unique valuesUnique
합계(드럼) has unique valuesUnique
새울본부(드럼) has 5 (5.5%) zerosZeros

Reproduction

Analysis started2023-12-12 01:12:21.251934
Analysis finished2023-12-12 01:12:26.167226
Duration4.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도-월-일
Date

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2016-01-31 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T10:12:26.269761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:26.508137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
저장실적
91 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저장실적 91
100.0%

Length

2023-12-12T10:12:26.680383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:12:26.803744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저장실적 91
100.0%

고리본부(드럼)
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42283.703
Minimum40474
Maximum44171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:26.964052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40474
5-th percentile40637.5
Q141470.5
median42120
Q342809.5
95-th percentile44043
Maximum44171
Range3697
Interquartile range (IQR)1339

Descriptive statistics

Standard deviation1047.4954
Coefficient of variation (CV)0.024773028
Kurtosis-0.86932473
Mean42283.703
Median Absolute Deviation (MAD)674
Skewness0.26460317
Sum3847817
Variance1097246.5
MonotonicityNot monotonic
2023-12-12T10:12:27.150761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43711 2
 
2.2%
40721 1
 
1.1%
41978 1
 
1.1%
42706 1
 
1.1%
42718 1
 
1.1%
42741 1
 
1.1%
42762 1
 
1.1%
42794 1
 
1.1%
42825 1
 
1.1%
42851 1
 
1.1%
Other values (80) 80
87.9%
ValueCountFrequency (%)
40474 1
1.1%
40512 1
1.1%
40555 1
1.1%
40591 1
1.1%
40615 1
1.1%
40660 1
1.1%
40698 1
1.1%
40721 1
1.1%
40989 1
1.1%
41023 1
1.1%
ValueCountFrequency (%)
44171 1
1.1%
44148 1
1.1%
44113 1
1.1%
44090 1
1.1%
44057 1
1.1%
44029 1
1.1%
44005 1
1.1%
43989 1
1.1%
43920 1
1.1%
43849 1
1.1%

새울본부(드럼)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.13187
Minimum0
Maximum667
Zeros5
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:27.309424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q141
median178
Q3420.5
95-th percentile600
Maximum667
Range667
Interquartile range (IQR)379.5

Descriptive statistics

Standard deviation211.31357
Coefficient of variation (CV)0.86557145
Kurtosis-1.1764225
Mean244.13187
Median Absolute Deviation (MAD)158
Skewness0.48217069
Sum22216
Variance44653.427
MonotonicityDecreasing
2023-12-12T10:12:27.473844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.5%
4 3
 
3.3%
20 3
 
3.3%
15 2
 
2.2%
386 2
 
2.2%
25 2
 
2.2%
667 1
 
1.1%
131 1
 
1.1%
105 1
 
1.1%
108 1
 
1.1%
Other values (70) 70
76.9%
ValueCountFrequency (%)
0 5
5.5%
4 3
3.3%
11 1
 
1.1%
15 2
 
2.2%
20 3
3.3%
23 1
 
1.1%
25 2
 
2.2%
28 1
 
1.1%
29 1
 
1.1%
31 1
 
1.1%
ValueCountFrequency (%)
667 1
1.1%
660 1
1.1%
639 1
1.1%
609 1
1.1%
603 1
1.1%
597 1
1.1%
591 1
1.1%
585 1
1.1%
580 1
1.1%
575 1
1.1%

월성본부(드럼)
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11042.549
Minimum9756
Maximum12483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:27.672186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9756
5-th percentile9897
Q110558.5
median10826
Q311685
95-th percentile12279.5
Maximum12483
Range2727
Interquartile range (IQR)1126.5

Descriptive statistics

Standard deviation709.5303
Coefficient of variation (CV)0.064254211
Kurtosis-0.8423683
Mean11042.549
Median Absolute Deviation (MAD)429
Skewness0.30917735
Sum1004872
Variance503433.25
MonotonicityNot monotonic
2023-12-12T10:12:27.849731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10770 2
 
2.2%
12483 1
 
1.1%
10414 1
 
1.1%
10468 1
 
1.1%
10513 1
 
1.1%
10555 1
 
1.1%
10617 1
 
1.1%
10664 1
 
1.1%
10825 1
 
1.1%
10856 1
 
1.1%
Other values (80) 80
87.9%
ValueCountFrequency (%)
9756 1
1.1%
9783 1
1.1%
9812 1
1.1%
9851 1
1.1%
9878 1
1.1%
9916 1
1.1%
9955 1
1.1%
10240 1
1.1%
10266 1
1.1%
10342 1
1.1%
ValueCountFrequency (%)
12483 1
1.1%
12438 1
1.1%
12403 1
1.1%
12366 1
1.1%
12308 1
1.1%
12251 1
1.1%
12200 1
1.1%
12146 1
1.1%
12080 1
1.1%
12035 1
1.1%

한빛본부(드럼)
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21077.429
Minimum19975
Maximum22368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:28.034709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19975
5-th percentile20300.5
Q120643.5
median21029
Q321393
95-th percentile22205
Maximum22368
Range2393
Interquartile range (IQR)749.5

Descriptive statistics

Standard deviation582.8316
Coefficient of variation (CV)0.027651931
Kurtosis-0.31180182
Mean21077.429
Median Absolute Deviation (MAD)372
Skewness0.52790265
Sum1918046
Variance339692.67
MonotonicityNot monotonic
2023-12-12T10:12:28.215894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21068 2
 
2.2%
21230 1
 
1.1%
20630 1
 
1.1%
20299 1
 
1.1%
20353 1
 
1.1%
20396 1
 
1.1%
20425 1
 
1.1%
20470 1
 
1.1%
20509 1
 
1.1%
20554 1
 
1.1%
Other values (80) 80
87.9%
ValueCountFrequency (%)
19975 1
1.1%
20023 1
1.1%
20167 1
1.1%
20237 1
1.1%
20299 1
1.1%
20302 1
1.1%
20353 1
1.1%
20358 1
1.1%
20380 1
1.1%
20396 1
1.1%
ValueCountFrequency (%)
22368 1
1.1%
22341 1
1.1%
22299 1
1.1%
22257 1
1.1%
22212 1
1.1%
22198 1
1.1%
22187 1
1.1%
22178 1
1.1%
22154 1
1.1%
22006 1
1.1%

한울본부(드럼)
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16209.681
Minimum15302
Maximum17269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:28.390431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15302
5-th percentile15383
Q115846.5
median16137
Q316746
95-th percentile17056
Maximum17269
Range1967
Interquartile range (IQR)899.5

Descriptive statistics

Standard deviation526.07333
Coefficient of variation (CV)0.032454268
Kurtosis-1.0003537
Mean16209.681
Median Absolute Deviation (MAD)429
Skewness0.15975948
Sum1475081
Variance276753.15
MonotonicityNot monotonic
2023-12-12T10:12:28.585068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15520 2
 
2.2%
16844 1
 
1.1%
16011 1
 
1.1%
15699 1
 
1.1%
15731 1
 
1.1%
15772 1
 
1.1%
15808 1
 
1.1%
15841 1
 
1.1%
15882 1
 
1.1%
15917 1
 
1.1%
Other values (80) 80
87.9%
ValueCountFrequency (%)
15302 1
1.1%
15332 1
1.1%
15335 1
1.1%
15365 1
1.1%
15368 1
1.1%
15398 1
1.1%
15402 1
1.1%
15466 1
1.1%
15477 1
1.1%
15520 2
2.2%
ValueCountFrequency (%)
17269 1
1.1%
17212 1
1.1%
17130 1
1.1%
17093 1
1.1%
17071 1
1.1%
17041 1
1.1%
16990 1
1.1%
16959 1
1.1%
16916 1
1.1%
16915 1
1.1%

합계(드럼)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90857.495
Minimum88183
Maximum93332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T10:12:28.785904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88183
5-th percentile88786
Q189990
median90810
Q391809.5
95-th percentile92825
Maximum93332
Range5149
Interquartile range (IQR)1819.5

Descriptive statistics

Standard deviation1254.0068
Coefficient of variation (CV)0.013801908
Kurtosis-0.75218457
Mean90857.495
Median Absolute Deviation (MAD)929
Skewness-0.088256994
Sum8268032
Variance1572532.9
MonotonicityNot monotonic
2023-12-12T10:12:28.991057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91945 1
 
1.1%
89095 1
 
1.1%
89180 1
 
1.1%
89318 1
 
1.1%
89454 1
 
1.1%
89619 1
 
1.1%
89784 1
 
1.1%
90000 1
 
1.1%
90175 1
 
1.1%
90304 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
88183 1
1.1%
88340 1
1.1%
88506 1
1.1%
88655 1
1.1%
88743 1
1.1%
88829 1
1.1%
88980 1
1.1%
89063 1
1.1%
89095 1
1.1%
89130 1
1.1%
ValueCountFrequency (%)
93332 1
1.1%
93274 1
1.1%
92952 1
1.1%
92904 1
1.1%
92893 1
1.1%
92757 1
1.1%
92720 1
1.1%
92612 1
1.1%
92569 1
1.1%
92530 1
1.1%

Interactions

2023-12-12T10:12:24.923699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:21.501624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.208877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.891779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.615209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.213995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:25.048190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:21.603986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.317600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.035888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.720468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.333632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:25.171577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:21.733149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.408081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.148550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.825016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.453544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:25.280962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:21.860767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.520668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.265601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.921860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.577854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:25.386005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:21.967267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.639254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.401106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.004539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.704621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:25.509943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.096126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:22.771579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:23.525560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.115157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:12:24.812369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:12:29.115723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도-월-일고리본부(드럼)새울본부(드럼)월성본부(드럼)한빛본부(드럼)한울본부(드럼)합계(드럼)
연도-월-일1.0001.0001.0001.0001.0001.0001.000
고리본부(드럼)1.0001.0000.8770.8120.7870.7890.680
새울본부(드럼)1.0000.8771.0000.9510.8260.9040.771
월성본부(드럼)1.0000.8120.9511.0000.8400.8590.711
한빛본부(드럼)1.0000.7870.8260.8401.0000.8710.856
한울본부(드럼)1.0000.7890.9040.8590.8711.0000.870
합계(드럼)1.0000.6800.7710.7110.8560.8701.000
2023-12-12T10:12:29.265079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고리본부(드럼)새울본부(드럼)월성본부(드럼)한빛본부(드럼)한울본부(드럼)합계(드럼)
고리본부(드럼)1.000-0.940-0.877-0.265-0.461-0.122
새울본부(드럼)-0.9401.0000.9470.2430.4430.172
월성본부(드럼)-0.8770.9471.0000.3030.4540.265
한빛본부(드럼)-0.2650.2430.3031.0000.7530.869
한울본부(드럼)-0.4610.4430.4540.7531.0000.854
합계(드럼)-0.1220.1720.2650.8690.8541.000

Missing values

2023-12-12T10:12:25.950514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:12:26.103985image/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

연도-월-일구분고리본부(드럼)새울본부(드럼)월성본부(드럼)한빛본부(드럼)한울본부(드럼)합계(드럼)
02023-07-31저장실적4072166712483212301684491945
12023-06-30저장실적4069866012438212171681191824
22023-05-31저장실적4066063912403211861677891666
32023-04-30저장실적4061560912366211451726992004
42023-03-31저장실적4059160312308220061721292720
52023-02-28저장실적4055559712251219541713092487
62023-01-31저장실적4051259112200219441709392340
72022-12-31저장실적4047458512146219321707192208
82022-11-30저장실적4142958012080217631704192893
92022-10-31저장실적4137857512035215911699092569
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842016-07-31저장실적4373149851222991687292757
852016-06-30저장실적4371149812222571682892612
862016-05-31저장실적4374809783222121678792530
872016-04-30저장실적4376009756221981677992493
882016-03-31저장실적43757010240221871676892952
892016-02-29저장실적43732010677221781674593332
902016-01-31저장실적43711010660221541674993274