Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory46.6 B

Variable types

DateTime1
Numeric4

Dataset

Description검·경찰이 압수한 물품(사행서게임기, 사행성PC)에 대한 인수(운송,보관)량 및 자원화(폐기,환부 등)량을 말함
Author한국환경공단
URLhttps://www.data.go.kr/data/15064808/fileData.do

Alerts

has unique valuesUnique
사행성게임기_자원화량 has unique valuesUnique
사행성피씨_자원화량 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:30:54.023361
Analysis finished2024-04-21 01:30:57.020434
Duration3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Date

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-01-01 00:00:00
Maximum2024-03-01 00:00:00
2024-04-21T10:30:57.092547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:57.226111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2348.6667
Minimum873
Maximum5151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-21T10:30:57.374492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum873
5-th percentile1097
Q11486
median1942
Q33171
95-th percentile4576
Maximum5151
Range4278
Interquartile range (IQR)1685

Descriptive statistics

Standard deviation1115.3333
Coefficient of variation (CV)0.47487936
Kurtosis-0.25199282
Mean2348.6667
Median Absolute Deviation (MAD)603
Skewness0.88865133
Sum119782
Variance1243968.4
MonotonicityNot monotonic
2024-04-21T10:30:57.525769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1486 2
 
3.9%
3874 1
 
2.0%
2263 1
 
2.0%
1476 1
 
2.0%
1263 1
 
2.0%
1922 1
 
2.0%
1942 1
 
2.0%
3968 1
 
2.0%
1852 1
 
2.0%
1053 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
873 1
2.0%
992 1
2.0%
1053 1
2.0%
1141 1
2.0%
1206 1
2.0%
1263 1
2.0%
1293 1
2.0%
1316 1
2.0%
1415 1
2.0%
1444 1
2.0%
ValueCountFrequency (%)
5151 1
2.0%
4638 1
2.0%
4582 1
2.0%
4570 1
2.0%
4176 1
2.0%
3986 1
2.0%
3968 1
2.0%
3874 1
2.0%
3791 1
2.0%
3439 1
2.0%

사행성게임기_자원화량
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2741.6078
Minimum70
Maximum6725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-21T10:30:57.650248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile301
Q11696.5
median2553
Q33836.5
95-th percentile5777
Maximum6725
Range6655
Interquartile range (IQR)2140

Descriptive statistics

Standard deviation1609.0916
Coefficient of variation (CV)0.58691532
Kurtosis-0.19425555
Mean2741.6078
Median Absolute Deviation (MAD)1027
Skewness0.38948599
Sum139822
Variance2589175.9
MonotonicityNot monotonic
2024-04-21T10:30:57.802503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
690 1
 
2.0%
5424 1
 
2.0%
2761 1
 
2.0%
2466 1
 
2.0%
2120 1
 
2.0%
1436 1
 
2.0%
1313 1
 
2.0%
2165 1
 
2.0%
2480 1
 
2.0%
2592 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
70 1
2.0%
241 1
2.0%
282 1
2.0%
320 1
2.0%
415 1
2.0%
508 1
2.0%
573 1
2.0%
690 1
2.0%
1038 1
2.0%
1313 1
2.0%
ValueCountFrequency (%)
6725 1
2.0%
5875 1
2.0%
5835 1
2.0%
5719 1
2.0%
5424 1
2.0%
4516 1
2.0%
4360 1
2.0%
4357 1
2.0%
4301 1
2.0%
4211 1
2.0%

사행성피씨_인수량
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.27451
Minimum265
Maximum1665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-21T10:30:57.947506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum265
5-th percentile457.5
Q1564
median904
Q31030.5
95-th percentile1410
Maximum1665
Range1400
Interquartile range (IQR)466.5

Descriptive statistics

Standard deviation327.89993
Coefficient of variation (CV)0.37939327
Kurtosis-0.47820868
Mean864.27451
Median Absolute Deviation (MAD)279
Skewness0.30868019
Sum44078
Variance107518.36
MonotonicityNot monotonic
2024-04-21T10:30:58.084576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
493 2
 
3.9%
536 1
 
2.0%
945 1
 
2.0%
1364 1
 
2.0%
969 1
 
2.0%
918 1
 
2.0%
1086 1
 
2.0%
987 1
 
2.0%
541 1
 
2.0%
560 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
265 1
2.0%
300 1
2.0%
446 1
2.0%
469 1
2.0%
481 1
2.0%
485 1
2.0%
493 2
3.9%
496 1
2.0%
518 1
2.0%
536 1
2.0%
ValueCountFrequency (%)
1665 1
2.0%
1514 1
2.0%
1456 1
2.0%
1364 1
2.0%
1356 1
2.0%
1298 1
2.0%
1253 1
2.0%
1223 1
2.0%
1222 1
2.0%
1145 1
2.0%

사행성피씨_자원화량
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean681.52941
Minimum5
Maximum1866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-21T10:30:58.212546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile24
Q1429.5
median642
Q3844
95-th percentile1457.5
Maximum1866
Range1861
Interquartile range (IQR)414.5

Descriptive statistics

Standard deviation428.32209
Coefficient of variation (CV)0.62847191
Kurtosis0.2523463
Mean681.52941
Median Absolute Deviation (MAD)207
Skewness0.63139966
Sum34758
Variance183459.81
MonotonicityNot monotonic
2024-04-21T10:30:58.508009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 1
 
2.0%
783 1
 
2.0%
501 1
 
2.0%
862 1
 
2.0%
741 1
 
2.0%
284 1
 
2.0%
642 1
 
2.0%
495 1
 
2.0%
1419 1
 
2.0%
1203 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
5 1
2.0%
8 1
2.0%
19 1
2.0%
29 1
2.0%
50 1
2.0%
188 1
2.0%
206 1
2.0%
216 1
2.0%
284 1
2.0%
329 1
2.0%
ValueCountFrequency (%)
1866 1
2.0%
1544 1
2.0%
1484 1
2.0%
1431 1
2.0%
1419 1
2.0%
1322 1
2.0%
1203 1
2.0%
1177 1
2.0%
1174 1
2.0%
1115 1
2.0%

Interactions

2024-04-21T10:30:56.485219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.360317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.843523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.165213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.571397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.491622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.913804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.236643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.670889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.694999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.996345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.318227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.760991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:55.766001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.082486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:56.396277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:30:58.592495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사행성게임기_인수량사행성게임기_자원화량사행성피씨_인수량사행성피씨_자원화량
1.0001.0001.0001.0001.000
사행성게임기_인수량1.0001.0000.5500.3940.568
사행성게임기_자원화량1.0000.5501.0000.5360.473
사행성피씨_인수량1.0000.3940.5361.0000.785
사행성피씨_자원화량1.0000.5680.4730.7851.000
2024-04-21T10:30:58.681260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사행성게임기_인수량사행성게임기_자원화량사행성피씨_인수량사행성피씨_자원화량
사행성게임기_인수량1.0000.4800.350-0.042
사행성게임기_자원화량0.4801.0000.2750.473
사행성피씨_인수량0.3500.2751.0000.055
사행성피씨_자원화량-0.0420.4730.0551.000

Missing values

2024-04-21T10:30:56.877277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:30:56.975845image/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

사행성게임기_인수량사행성게임기_자원화량사행성피씨_인수량사행성피씨_자원화량
02020-013874690536206
12020-02515154241016783
22020-03398667251514484
32020-04457057191011704
42020-05458241091007485
52020-0637914357729587
62020-074638587516651115
72020-0814863725481459
82020-09222835092651177
92020-1016143580469807
사행성게임기_인수량사행성게임기_자원화량사행성피씨_인수량사행성피씨_자원화량
412023-061531229012981484
422023-0711412458871712
432023-089921664746672
442023-0912932553775588
452023-1015512871721703
462023-111206242610411544
472023-1214891633590753
482024-0113161038496563
492024-02873415493216
502024-031953241125329