Overview

Dataset statistics

Number of variables4
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory35.8 B

Variable types

DateTime1
Numeric3

Dataset

Description2010년~2023년 9월까지 당사 강남점, 강북점, 부산점의 테이블게임, 전자게임에서 발생하는 순매출액을 월별로 제공합니다.
Author그랜드코리아레저(주)
URLhttps://www.data.go.kr/data/15087706/fileData.do

Alerts

강북점 is highly overall correlated with 부산점High correlation
부산점 is highly overall correlated with 강북점High correlation
기준일자 has unique valuesUnique
강남점 has 4 (2.4%) zerosZeros
강북점 has 4 (2.4%) zerosZeros
부산점 has 2 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 16:46:03.767715
Analysis finished2023-12-12 16:46:05.050820
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일자
Date

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2010-01-31 00:00:00
Maximum2023-09-30 00:00:00
2023-12-13T01:46:05.161460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:05.340035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강남점
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6820276 × 1010
Minimum-2.0950171 × 109
Maximum3.4167879 × 1010
Zeros4
Zeros (%)2.4%
Negative2
Negative (%)1.2%
Memory size1.6 KiB
2023-12-13T01:46:05.490750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.0950171 × 109
5-th percentile1.6834599 × 109
Q11.3160424 × 1010
median1.7514122 × 1010
Q32.2176852 × 1010
95-th percentile2.8736413 × 1010
Maximum3.4167879 × 1010
Range3.6262896 × 1010
Interquartile range (IQR)9.0164286 × 109

Descriptive statistics

Standard deviation7.8139156 × 109
Coefficient of variation (CV)0.46455334
Kurtosis-0.17392265
Mean1.6820276 × 1010
Median Absolute Deviation (MAD)4.4080704 × 109
Skewness-0.46082068
Sum2.7753456 × 1012
Variance6.1057277 × 1019
MonotonicityNot monotonic
2023-12-13T01:46:05.719042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.4%
4717776318 1
 
0.6%
17005312993 1
 
0.6%
16752324197 1
 
0.6%
15287666363 1
 
0.6%
11345167017 1
 
0.6%
13160423870 1
 
0.6%
11345825478 1
 
0.6%
18443530656 1
 
0.6%
13386838872 1
 
0.6%
Other values (152) 152
92.1%
ValueCountFrequency (%)
-2095017112 1
 
0.6%
-1550408576 1
 
0.6%
0 4
2.4%
836093396 1
 
0.6%
1290868089 1
 
0.6%
1597851057 1
 
0.6%
2025895215 1
 
0.6%
2432416875 1
 
0.6%
2689453436 1
 
0.6%
2957968638 1
 
0.6%
ValueCountFrequency (%)
34167879255 1
0.6%
32118164232 1
0.6%
31335708195 1
0.6%
31083389023 1
0.6%
29913209579 1
0.6%
29596331042 1
0.6%
28906474762 1
0.6%
28749936458 1
0.6%
28747870898 1
0.6%
28690580914 1
0.6%

강북점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4174993 × 1010
Minimum0
Maximum2.3125472 × 1010
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T01:46:05.927114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5894047 × 109
Q11.1904402 × 1010
median1.5334368 × 1010
Q31.798548 × 1010
95-th percentile2.0635661 × 1010
Maximum2.3125472 × 1010
Range2.3125472 × 1010
Interquartile range (IQR)6.0810776 × 109

Descriptive statistics

Standard deviation5.2037091 × 109
Coefficient of variation (CV)0.36710487
Kurtosis0.16243195
Mean1.4174993 × 1010
Median Absolute Deviation (MAD)3.1116192 × 109
Skewness-0.89823331
Sum2.3388739 × 1012
Variance2.7078589 × 1019
MonotonicityNot monotonic
2023-12-13T01:46:06.116562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.4%
5796870832 1
 
0.6%
20593262368 1
 
0.6%
13718264116 1
 
0.6%
21177427829 1
 
0.6%
17099997462 1
 
0.6%
15481602985 1
 
0.6%
15020705287 1
 
0.6%
16120340442 1
 
0.6%
20156962070 1
 
0.6%
Other values (152) 152
92.1%
ValueCountFrequency (%)
0 4
2.4%
2702630265 1
 
0.6%
3336021739 1
 
0.6%
4253487360 1
 
0.6%
4517700117 1
 
0.6%
4548419322 1
 
0.6%
4753346069 1
 
0.6%
4845916974 1
 
0.6%
4890090159 1
 
0.6%
4955564262 1
 
0.6%
ValueCountFrequency (%)
23125471946 1
0.6%
22701129429 1
0.6%
21688722798 1
0.6%
21477315195 1
0.6%
21177427829 1
0.6%
21154591410 1
0.6%
21113536070 1
0.6%
20782826026 1
0.6%
20635960012 1
0.6%
20634463721 1
0.6%

부산점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct164
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2945556 × 109
Minimum-40
Maximum1.1201038 × 1010
Zeros2
Zeros (%)1.2%
Negative1
Negative (%)0.6%
Memory size1.6 KiB
2023-12-13T01:46:06.278853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile7.4870013 × 108
Q13.7916201 × 109
median5.6347925 × 109
Q37.1577204 × 109
95-th percentile8.7148702 × 109
Maximum1.1201038 × 1010
Range1.1201038 × 1010
Interquartile range (IQR)3.3661002 × 109

Descriptive statistics

Standard deviation2.6513622 × 109
Coefficient of variation (CV)0.50077144
Kurtosis-0.57167905
Mean5.2945556 × 109
Median Absolute Deviation (MAD)1.6242572 × 109
Skewness-0.30498739
Sum8.7360168 × 1011
Variance7.0297218 × 1018
MonotonicityNot monotonic
2023-12-13T01:46:06.462945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
1.2%
4825527785 1
 
0.6%
5115272762 1
 
0.6%
7621793361 1
 
0.6%
6069263532 1
 
0.6%
5457492446 1
 
0.6%
7157720377 1
 
0.6%
5804147261 1
 
0.6%
6722322950 1
 
0.6%
10160332445 1
 
0.6%
Other values (154) 154
93.3%
ValueCountFrequency (%)
-40 1
0.6%
0 2
1.2%
506898580 1
0.6%
649449329 1
0.6%
686904137 1
0.6%
694703456 1
0.6%
699033053 1
0.6%
747230672 1
0.6%
754577952 1
0.6%
779098304 1
0.6%
ValueCountFrequency (%)
11201037927 1
0.6%
10943138039 1
0.6%
10691166709 1
0.6%
10201380925 1
0.6%
10160332445 1
0.6%
10120656357 1
0.6%
9964049694 1
0.6%
9520858522 1
0.6%
8737957243 1
0.6%
8622522240 1
0.6%

Interactions

2023-12-13T01:46:04.540529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:03.878281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.234391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.652068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.000139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.353578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.761547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.116173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:04.440042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:46:06.568257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강남점강북점부산점
강남점1.0000.7940.741
강북점0.7941.0000.769
부산점0.7410.7691.000
2023-12-13T01:46:06.667901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강남점강북점부산점
강남점1.0000.4390.480
강북점0.4391.0000.725
부산점0.4800.7251.000

Missing values

2023-12-13T01:46:04.893994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:46:05.006644image/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

기준일자강남점강북점부산점
02010-01-3129913209579153386564224321270122
12010-02-2816606828725109781135084760679109
22010-03-3124860679429122052223684470324922
32010-04-3021812614024139008603753151512604
42010-05-3119678412284132418632122347420274
52010-06-3017588484285120703615394523761871
62010-07-3115785912220130314453524524616801
72010-08-3121791650716110030273325932320272
82010-09-3015939068994121370425254503089437
92010-10-3126094489877196385790577235298037
기준일자강남점강북점부산점
1552022-12-311737000694585095771644666505794
1562023-01-3113889404763149378457213257786350
1572023-02-282474425628585544745073473859935
1582023-03-3122596580748113513381494747279426
1592023-04-3028747870898122934375354565535353
1602023-05-319454535497114905064634377749269
1612023-06-3012613961033113471285225589563386
1622023-07-3114493239421124094207214224611598
1632023-08-3114724298804142974367124372601000
1642023-09-3013165918607154615781564689458837