Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells4110
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory241.0 B

Variable types

Numeric25
Text1

Dataset

Description전라북도 군산시에 소재한 수용가의 2019년1월부터 2020년 12월까지 월별 상수도 사용량(연번, 주소(지번, 도로명포함), 사용량(톤))을 제공하여 데이터를 활용할 수 있도로 개방함
Author전라북도 군산시
URLhttps://www.data.go.kr/data/15084544/fileData.do

Alerts

19년 1월 has 226 (2.3%) missing valuesMissing
19년 2월 has 206 (2.1%) missing valuesMissing
19년 3월 has 208 (2.1%) missing valuesMissing
19년 4월 has 196 (2.0%) missing valuesMissing
19년 5월 has 192 (1.9%) missing valuesMissing
19년 6월 has 193 (1.9%) missing valuesMissing
19년 7월 has 182 (1.8%) missing valuesMissing
19년 8월 has 172 (1.7%) missing valuesMissing
19년 9월 has 176 (1.8%) missing valuesMissing
19년 10월 has 178 (1.8%) missing valuesMissing
19년 11월 has 180 (1.8%) missing valuesMissing
19년 12월 has 174 (1.7%) missing valuesMissing
20년 1월 has 166 (1.7%) missing valuesMissing
20년 2월 has 164 (1.6%) missing valuesMissing
20년 3월 has 162 (1.6%) missing valuesMissing
20년 4월 has 158 (1.6%) missing valuesMissing
20년 5월 has 167 (1.7%) missing valuesMissing
20년 6월 has 155 (1.6%) missing valuesMissing
20년 7월 has 145 (1.5%) missing valuesMissing
20년 8월 has 150 (1.5%) missing valuesMissing
20년 9월 has 147 (1.5%) missing valuesMissing
20년 10월 has 142 (1.4%) missing valuesMissing
20년 11월 has 140 (1.4%) missing valuesMissing
20년 12월 has 131 (1.3%) missing valuesMissing
19년 1월 is highly skewed (γ1 = 49.62327596)Skewed
19년 2월 is highly skewed (γ1 = 48.35318541)Skewed
19년 3월 is highly skewed (γ1 = 48.61972905)Skewed
19년 4월 is highly skewed (γ1 = 45.83499001)Skewed
19년 5월 is highly skewed (γ1 = 52.36730846)Skewed
19년 6월 is highly skewed (γ1 = 53.64299849)Skewed
19년 7월 is highly skewed (γ1 = 50.60585878)Skewed
19년 8월 is highly skewed (γ1 = 49.29883459)Skewed
19년 9월 is highly skewed (γ1 = 40.87773505)Skewed
19년 10월 is highly skewed (γ1 = 53.83167733)Skewed
19년 11월 is highly skewed (γ1 = 48.52167438)Skewed
19년 12월 is highly skewed (γ1 = 49.86105592)Skewed
20년 1월 is highly skewed (γ1 = 47.4206493)Skewed
20년 2월 is highly skewed (γ1 = 44.83413285)Skewed
20년 3월 is highly skewed (γ1 = 52.37125274)Skewed
20년 4월 is highly skewed (γ1 = 51.65482541)Skewed
20년 5월 is highly skewed (γ1 = 53.93136596)Skewed
20년 6월 is highly skewed (γ1 = 48.63389204)Skewed
20년 7월 is highly skewed (γ1 = 49.8556978)Skewed
20년 8월 is highly skewed (γ1 = 41.0302752)Skewed
20년 9월 is highly skewed (γ1 = 41.58461959)Skewed
20년 10월 is highly skewed (γ1 = 44.81593668)Skewed
20년 11월 is highly skewed (γ1 = 53.01874039)Skewed
20년 12월 is highly skewed (γ1 = 54.72194458)Skewed
연번 has unique valuesUnique
19년 1월 has 1549 (15.5%) zerosZeros
19년 2월 has 1667 (16.7%) zerosZeros
19년 3월 has 1724 (17.2%) zerosZeros
19년 4월 has 1684 (16.8%) zerosZeros
19년 5월 has 1581 (15.8%) zerosZeros
19년 6월 has 1471 (14.7%) zerosZeros
19년 7월 has 1480 (14.8%) zerosZeros
19년 8월 has 1439 (14.4%) zerosZeros
19년 9월 has 1455 (14.5%) zerosZeros
19년 10월 has 1456 (14.6%) zerosZeros
19년 11월 has 1505 (15.0%) zerosZeros
19년 12월 has 1484 (14.8%) zerosZeros
20년 1월 has 1534 (15.3%) zerosZeros
20년 2월 has 1690 (16.9%) zerosZeros
20년 3월 has 1665 (16.7%) zerosZeros
20년 4월 has 1677 (16.8%) zerosZeros
20년 5월 has 1602 (16.0%) zerosZeros
20년 6월 has 1508 (15.1%) zerosZeros
20년 7월 has 1482 (14.8%) zerosZeros
20년 8월 has 1508 (15.1%) zerosZeros
20년 9월 has 1499 (15.0%) zerosZeros
20년 10월 has 1482 (14.8%) zerosZeros
20년 11월 has 1513 (15.1%) zerosZeros
20년 12월 has 1510 (15.1%) zerosZeros

Reproduction

Analysis started2023-12-12 02:48:08.363073
Analysis finished2023-12-12 02:48:09.125272
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24989.528
Minimum9
Maximum50065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:09.265038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile2528.75
Q112243.25
median25023
Q337437.25
95-th percentile47649.05
Maximum50065
Range50056
Interquartile range (IQR)25194

Descriptive statistics

Standard deviation14509.896
Coefficient of variation (CV)0.58063903
Kurtosis-1.2060321
Mean24989.528
Median Absolute Deviation (MAD)12615.5
Skewness0.00051234886
Sum2.4989528 × 108
Variance2.1053707 × 108
MonotonicityNot monotonic
2023-12-12T11:48:09.491540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45775 1
 
< 0.1%
2623 1
 
< 0.1%
4870 1
 
< 0.1%
16422 1
 
< 0.1%
8189 1
 
< 0.1%
41297 1
 
< 0.1%
48464 1
 
< 0.1%
2938 1
 
< 0.1%
49285 1
 
< 0.1%
10791 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
12 1
< 0.1%
21 1
< 0.1%
31 1
< 0.1%
39 1
< 0.1%
53 1
< 0.1%
54 1
< 0.1%
61 1
< 0.1%
69 1
< 0.1%
75 1
< 0.1%
ValueCountFrequency (%)
50065 1
< 0.1%
50056 1
< 0.1%
50047 1
< 0.1%
50046 1
< 0.1%
50036 1
< 0.1%
50035 1
< 0.1%
50032 1
< 0.1%
50030 1
< 0.1%
50027 1
< 0.1%
50026 1
< 0.1%

주소
Text

Distinct8152
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:48:09.939680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length18.0884
Min length12

Characters and Unicode

Total characters180884
Distinct characters227
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7691 ?
Unique (%)76.9%

Sample

1st row전라북도 군산시 옥봉리 1605-8
2nd row전라북도 군산시 조촌동 151
3rd row전라북도 군산시 나운동 835-4
4th row전라북도 군산시 문화동 910-22
5th row전라북도 군산시 나운동 555-1
ValueCountFrequency (%)
전라북도 10000
24.6%
군산시 10000
24.6%
나운동 1154
 
2.8%
산북동 650
 
1.6%
수송동 451
 
1.1%
조촌동 444
 
1.1%
소룡동 426
 
1.0%
경암동 413
 
1.0%
문화동 323
 
0.8%
오식도동 249
 
0.6%
Other values (6883) 16502
40.6%
2023-12-12T11:48:10.601327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30652
16.9%
산 11294
 
6.2%
북 10706
 
5.9%
도 10513
 
5.8%
시 10018
 
5.5%
라 10015
 
5.5%
전 10013
 
5.5%
군 10007
 
5.5%
- 7683
 
4.2%
동 7126
 
3.9%
Other values (217) 62857
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102461
56.6%
Decimal Number 40086
 
22.2%
Space Separator 30652
 
16.9%
Dash Punctuation 7683
 
4.2%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 11294
11.0%
북 10706
10.4%
도 10513
10.3%
시 10018
9.8%
라 10015
9.8%
전 10013
9.8%
군 10007
9.8%
동 7126
 
7.0%
리 2467
 
2.4%
나 1233
 
1.2%
Other values (203) 19069
18.6%
Decimal Number
ValueCountFrequency (%)
1 7086
17.7%
2 4554
11.4%
3 4502
11.2%
5 4266
10.6%
8 4018
10.0%
4 3733
9.3%
7 3565
8.9%
6 3228
8.1%
9 2858
7.1%
0 2276
 
5.7%
Space Separator
ValueCountFrequency (%)
30652
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7683
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102461
56.6%
Common 78422
43.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 11294
11.0%
북 10706
10.4%
도 10513
10.3%
시 10018
9.8%
라 10015
9.8%
전 10013
9.8%
군 10007
9.8%
동 7126
 
7.0%
리 2467
 
2.4%
나 1233
 
1.2%
Other values (203) 19069
18.6%
Common
ValueCountFrequency (%)
30652
39.1%
- 7683
 
9.8%
1 7086
 
9.0%
2 4554
 
5.8%
3 4502
 
5.7%
5 4266
 
5.4%
8 4018
 
5.1%
4 3733
 
4.8%
7 3565
 
4.5%
6 3228
 
4.1%
Other values (3) 5135
 
6.5%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102461
56.6%
ASCII 78423
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30652
39.1%
- 7683
 
9.8%
1 7086
 
9.0%
2 4554
 
5.8%
3 4502
 
5.7%
5 4266
 
5.4%
8 4018
 
5.1%
4 3733
 
4.8%
7 3565
 
4.5%
6 3228
 
4.1%
Other values (4) 5136
 
6.5%
Hangul
ValueCountFrequency (%)
산 11294
11.0%
북 10706
10.4%
도 10513
10.3%
시 10018
9.8%
라 10015
9.8%
전 10013
9.8%
군 10007
9.8%
동 7126
 
7.0%
리 2467
 
2.4%
나 1233
 
1.2%
Other values (203) 19069
18.6%

19년 1월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct332
Distinct (%)3.4%
Missing226
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean177.83292
Minimum0
Maximum363196
Zeros1549
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:10.782342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile84.35
Maximum363196
Range363196
Interquartile range (IQR)18

Descriptive statistics

Standard deviation5369.6508
Coefficient of variation (CV)30.194919
Kurtosis2790.6675
Mean177.83292
Median Absolute Deviation (MAD)8
Skewness49.623276
Sum1738139
Variance28833149
MonotonicityNot monotonic
2023-12-12T11:48:10.965718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1549
 
15.5%
5 361
 
3.6%
6 357
 
3.6%
1 355
 
3.5%
4 350
 
3.5%
2 336
 
3.4%
3 330
 
3.3%
10 326
 
3.3%
7 314
 
3.1%
13 314
 
3.1%
Other values (322) 5182
51.8%
ValueCountFrequency (%)
0 1549
15.5%
1 355
 
3.5%
2 336
 
3.4%
3 330
 
3.3%
4 350
 
3.5%
5 361
 
3.6%
6 357
 
3.6%
7 314
 
3.1%
8 306
 
3.1%
9 310
 
3.1%
ValueCountFrequency (%)
363196 1
< 0.1%
220170 1
< 0.1%
212263 1
< 0.1%
153934 1
< 0.1%
122383 1
< 0.1%
113807 1
< 0.1%
36384 1
< 0.1%
32385 1
< 0.1%
23324 1
< 0.1%
20802 1
< 0.1%

19년 2월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct338
Distinct (%)3.5%
Missing206
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean187.12018
Minimum0
Maximum371281
Zeros1667
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:11.182161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile88
Maximum371281
Range371281
Interquartile range (IQR)17

Descriptive statistics

Standard deviation5648.2978
Coefficient of variation (CV)30.185402
Kurtosis2623.2454
Mean187.12018
Median Absolute Deviation (MAD)8
Skewness48.353185
Sum1832655
Variance31903268
MonotonicityNot monotonic
2023-12-12T11:48:11.377606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1667
 
16.7%
1 375
 
3.8%
5 365
 
3.6%
2 364
 
3.6%
4 364
 
3.6%
10 357
 
3.6%
7 347
 
3.5%
3 342
 
3.4%
6 335
 
3.4%
9 325
 
3.2%
Other values (328) 4953
49.5%
ValueCountFrequency (%)
0 1667
16.7%
1 375
 
3.8%
2 364
 
3.6%
3 342
 
3.4%
4 364
 
3.6%
5 365
 
3.6%
6 335
 
3.4%
7 347
 
3.5%
8 307
 
3.1%
9 325
 
3.2%
ValueCountFrequency (%)
371281 1
< 0.1%
235390 1
< 0.1%
231377 1
< 0.1%
153811 1
< 0.1%
153277 1
< 0.1%
114236 1
< 0.1%
36424 1
< 0.1%
34001 1
< 0.1%
28815 1
< 0.1%
25306 1
< 0.1%

19년 3월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct319
Distinct (%)3.3%
Missing208
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean169.62388
Minimum0
Maximum322913
Zeros1724
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:11.596053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile78
Maximum322913
Range322913
Interquartile range (IQR)17

Descriptive statistics

Standard deviation5074.2238
Coefficient of variation (CV)29.914561
Kurtosis2602.986
Mean169.62388
Median Absolute Deviation (MAD)8
Skewness48.619729
Sum1660957
Variance25747747
MonotonicityNot monotonic
2023-12-12T11:48:11.791440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1724
 
17.2%
6 371
 
3.7%
1 360
 
3.6%
10 353
 
3.5%
4 348
 
3.5%
5 343
 
3.4%
8 334
 
3.3%
2 330
 
3.3%
3 324
 
3.2%
12 299
 
3.0%
Other values (309) 5006
50.1%
ValueCountFrequency (%)
0 1724
17.2%
1 360
 
3.6%
2 330
 
3.3%
3 324
 
3.2%
4 348
 
3.5%
5 343
 
3.4%
6 371
 
3.7%
7 297
 
3.0%
8 334
 
3.3%
9 298
 
3.0%
ValueCountFrequency (%)
322913 1
< 0.1%
245558 1
< 0.1%
206870 1
< 0.1%
134108 1
< 0.1%
123478 1
< 0.1%
83268 1
< 0.1%
34042 1
< 0.1%
30918 1
< 0.1%
23783 1
< 0.1%
19280 1
< 0.1%

19년 4월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)3.2%
Missing196
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean168.20216
Minimum0
Maximum311610
Zeros1684
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:11.982255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q317
95-th percentile74
Maximum311610
Range311610
Interquartile range (IQR)15

Descriptive statistics

Standard deviation5032.3718
Coefficient of variation (CV)29.918591
Kurtosis2311.2509
Mean168.20216
Median Absolute Deviation (MAD)7
Skewness45.83499
Sum1649054
Variance25324766
MonotonicityNot monotonic
2023-12-12T11:48:12.150260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1684
 
16.8%
1 438
 
4.4%
3 438
 
4.4%
5 425
 
4.2%
2 413
 
4.1%
6 403
 
4.0%
4 387
 
3.9%
10 385
 
3.9%
8 383
 
3.8%
7 371
 
3.7%
Other values (299) 4477
44.8%
ValueCountFrequency (%)
0 1684
16.8%
1 438
 
4.4%
2 413
 
4.1%
3 438
 
4.4%
4 387
 
3.9%
5 425
 
4.2%
6 403
 
4.0%
7 371
 
3.7%
8 383
 
3.8%
9 340
 
3.4%
ValueCountFrequency (%)
311610 1
< 0.1%
212470 1
< 0.1%
209580 1
< 0.1%
159119 1
< 0.1%
133642 1
< 0.1%
121982 1
< 0.1%
30080 1
< 0.1%
29872 1
< 0.1%
25393 1
< 0.1%
21139 1
< 0.1%

19년 5월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct348
Distinct (%)3.5%
Missing192
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean178.04354
Minimum0
Maximum385380
Zeros1581
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:12.321881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile86
Maximum385380
Range385380
Interquartile range (IQR)17

Descriptive statistics

Standard deviation5386.0367
Coefficient of variation (CV)30.251234
Kurtosis3178.9459
Mean178.04354
Median Absolute Deviation (MAD)8
Skewness52.367308
Sum1746251
Variance29009391
MonotonicityNot monotonic
2023-12-12T11:48:12.535162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1581
 
15.8%
1 396
 
4.0%
6 383
 
3.8%
4 368
 
3.7%
5 366
 
3.7%
3 354
 
3.5%
10 351
 
3.5%
8 350
 
3.5%
2 344
 
3.4%
7 319
 
3.2%
Other values (338) 4996
50.0%
ValueCountFrequency (%)
0 1581
15.8%
1 396
 
4.0%
2 344
 
3.4%
3 354
 
3.5%
4 368
 
3.7%
5 366
 
3.7%
6 383
 
3.8%
7 319
 
3.2%
8 350
 
3.5%
9 307
 
3.1%
ValueCountFrequency (%)
385380 1
< 0.1%
214450 1
< 0.1%
189726 1
< 0.1%
146153 1
< 0.1%
120890 1
< 0.1%
112341 1
< 0.1%
38173 1
< 0.1%
34147 1
< 0.1%
27785 1
< 0.1%
22050 1
< 0.1%

19년 6월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)3.5%
Missing193
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean171.34914
Minimum0
Maximum377120
Zeros1471
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:12.727201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile83
Maximum377120
Range377120
Interquartile range (IQR)18

Descriptive statistics

Standard deviation5223.2764
Coefficient of variation (CV)30.483237
Kurtosis3321.165
Mean171.34914
Median Absolute Deviation (MAD)8
Skewness53.642998
Sum1680421
Variance27282616
MonotonicityNot monotonic
2023-12-12T11:48:12.916109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1471
 
14.7%
1 386
 
3.9%
5 378
 
3.8%
7 369
 
3.7%
2 366
 
3.7%
6 355
 
3.5%
8 341
 
3.4%
3 331
 
3.3%
10 328
 
3.3%
4 326
 
3.3%
Other values (329) 5156
51.6%
ValueCountFrequency (%)
0 1471
14.7%
1 386
 
3.9%
2 366
 
3.7%
3 331
 
3.3%
4 326
 
3.3%
5 378
 
3.8%
6 355
 
3.5%
7 369
 
3.7%
8 341
 
3.4%
9 318
 
3.2%
ValueCountFrequency (%)
377120 1
< 0.1%
230400 1
< 0.1%
150116 1
< 0.1%
146097 1
< 0.1%
118454 1
< 0.1%
97790 1
< 0.1%
38406 1
< 0.1%
31198 1
< 0.1%
20972 1
< 0.1%
20444 1
< 0.1%

19년 7월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct350
Distinct (%)3.6%
Missing182
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean183.85975
Minimum0
Maximum385475
Zeros1480
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:13.109243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322
95-th percentile89
Maximum385475
Range385475
Interquartile range (IQR)19

Descriptive statistics

Standard deviation5520.6981
Coefficient of variation (CV)30.026682
Kurtosis2950.5092
Mean183.85975
Median Absolute Deviation (MAD)9
Skewness50.605859
Sum1805135
Variance30478107
MonotonicityNot monotonic
2023-12-12T11:48:13.302287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1480
 
14.8%
1 367
 
3.7%
7 362
 
3.6%
6 346
 
3.5%
5 338
 
3.4%
9 322
 
3.2%
10 320
 
3.2%
2 320
 
3.2%
8 314
 
3.1%
3 312
 
3.1%
Other values (340) 5337
53.4%
ValueCountFrequency (%)
0 1480
14.8%
1 367
 
3.7%
2 320
 
3.2%
3 312
 
3.1%
4 310
 
3.1%
5 338
 
3.4%
6 346
 
3.5%
7 362
 
3.6%
8 314
 
3.1%
9 322
 
3.2%
ValueCountFrequency (%)
385475 1
< 0.1%
219106 1
< 0.1%
180695 1
< 0.1%
164181 1
< 0.1%
156012 1
< 0.1%
119944 1
< 0.1%
36241 1
< 0.1%
23664 1
< 0.1%
22122 1
< 0.1%
15067 1
< 0.1%

19년 8월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)3.5%
Missing172
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean180.41168
Minimum0
Maximum356625
Zeros1439
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:13.479602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q323
95-th percentile89.65
Maximum356625
Range356625
Interquartile range (IQR)19

Descriptive statistics

Standard deviation5455.4559
Coefficient of variation (CV)30.238928
Kurtosis2703.0236
Mean180.41168
Median Absolute Deviation (MAD)9
Skewness49.298835
Sum1773086
Variance29761999
MonotonicityNot monotonic
2023-12-12T11:48:13.635161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1439
 
14.4%
5 385
 
3.9%
1 352
 
3.5%
2 327
 
3.3%
6 322
 
3.2%
8 321
 
3.2%
4 310
 
3.1%
10 309
 
3.1%
9 303
 
3.0%
3 302
 
3.0%
Other values (333) 5458
54.6%
ValueCountFrequency (%)
0 1439
14.4%
1 352
 
3.5%
2 327
 
3.3%
3 302
 
3.0%
4 310
 
3.1%
5 385
 
3.9%
6 322
 
3.2%
7 299
 
3.0%
8 321
 
3.2%
9 303
 
3.0%
ValueCountFrequency (%)
356625 1
< 0.1%
265720 1
< 0.1%
187647 1
< 0.1%
170872 1
< 0.1%
115986 1
< 0.1%
112484 1
< 0.1%
39747 1
< 0.1%
22966 1
< 0.1%
22487 1
< 0.1%
16347 1
< 0.1%

19년 9월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)3.5%
Missing176
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean167.59253
Minimum0
Maximum228450
Zeros1455
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:13.821326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324
95-th percentile92
Maximum228450
Range228450
Interquartile range (IQR)20

Descriptive statistics

Standard deviation4419.9376
Coefficient of variation (CV)26.373118
Kurtosis1758.1425
Mean167.59253
Median Absolute Deviation (MAD)10
Skewness40.877735
Sum1646429
Variance19535848
MonotonicityNot monotonic
2023-12-12T11:48:14.321869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1455
 
14.5%
10 331
 
3.3%
1 329
 
3.3%
2 320
 
3.2%
5 320
 
3.2%
7 312
 
3.1%
8 312
 
3.1%
6 309
 
3.1%
14 285
 
2.9%
4 284
 
2.8%
Other values (336) 5567
55.7%
ValueCountFrequency (%)
0 1455
14.5%
1 329
 
3.3%
2 320
 
3.2%
3 250
 
2.5%
4 284
 
2.8%
5 320
 
3.2%
6 309
 
3.1%
7 312
 
3.1%
8 312
 
3.1%
9 282
 
2.8%
ValueCountFrequency (%)
228450 1
< 0.1%
181400 1
< 0.1%
180263 1
< 0.1%
177895 1
< 0.1%
155722 1
< 0.1%
113284 1
< 0.1%
39795 1
< 0.1%
36095 1
< 0.1%
26289 1
< 0.1%
16582 1
< 0.1%

19년 10월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct352
Distinct (%)3.6%
Missing178
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean173.81704
Minimum0
Maximum358800
Zeros1456
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:14.502479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324.75
95-th percentile95
Maximum358800
Range358800
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation5114.866
Coefficient of variation (CV)29.426723
Kurtosis3272.4221
Mean173.81704
Median Absolute Deviation (MAD)10
Skewness53.831677
Sum1707231
Variance26161855
MonotonicityNot monotonic
2023-12-12T11:48:14.714972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1456
 
14.6%
1 358
 
3.6%
10 319
 
3.2%
5 313
 
3.1%
7 299
 
3.0%
6 287
 
2.9%
12 287
 
2.9%
4 281
 
2.8%
2 274
 
2.7%
15 273
 
2.7%
Other values (342) 5675
56.8%
ValueCountFrequency (%)
0 1456
14.6%
1 358
 
3.6%
2 274
 
2.7%
3 270
 
2.7%
4 281
 
2.8%
5 313
 
3.1%
6 287
 
2.9%
7 299
 
3.0%
8 266
 
2.7%
9 267
 
2.7%
ValueCountFrequency (%)
358800 1
< 0.1%
259540 1
< 0.1%
153328 1
< 0.1%
118518 1
< 0.1%
114134 1
< 0.1%
63215 1
< 0.1%
43519 1
< 0.1%
37071 1
< 0.1%
25080 1
< 0.1%
22055 1
< 0.1%

19년 11월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct332
Distinct (%)3.4%
Missing180
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean176.69165
Minimum0
Maximum340320
Zeros1505
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:14.891184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile84
Maximum340320
Range340320
Interquartile range (IQR)18

Descriptive statistics

Standard deviation5236.8622
Coefficient of variation (CV)29.638425
Kurtosis2619.3744
Mean176.69165
Median Absolute Deviation (MAD)8
Skewness48.521674
Sum1735112
Variance27424726
MonotonicityNot monotonic
2023-12-12T11:48:15.080007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1505
 
15.0%
1 395
 
4.0%
10 376
 
3.8%
5 369
 
3.7%
4 367
 
3.7%
7 349
 
3.5%
8 344
 
3.4%
9 343
 
3.4%
3 340
 
3.4%
2 330
 
3.3%
Other values (322) 5102
51.0%
ValueCountFrequency (%)
0 1505
15.0%
1 395
 
4.0%
2 330
 
3.3%
3 340
 
3.4%
4 367
 
3.7%
5 369
 
3.7%
6 321
 
3.2%
7 349
 
3.5%
8 344
 
3.4%
9 343
 
3.4%
ValueCountFrequency (%)
340320 1
< 0.1%
245610 1
< 0.1%
176010 1
< 0.1%
171780 1
< 0.1%
148709 1
< 0.1%
70783 1
< 0.1%
43464 1
< 0.1%
33964 1
< 0.1%
22131 1
< 0.1%
19601 1
< 0.1%

19년 12월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)3.6%
Missing174
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean180.64156
Minimum0
Maximum364315
Zeros1484
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:15.258838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10.5
Q322
95-th percentile89
Maximum364315
Range364315
Interquartile range (IQR)19

Descriptive statistics

Standard deviation5336.3734
Coefficient of variation (CV)29.541227
Kurtosis2830.7326
Mean180.64156
Median Absolute Deviation (MAD)8.5
Skewness49.861056
Sum1774984
Variance28476881
MonotonicityNot monotonic
2023-12-12T11:48:15.448681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1484
 
14.8%
1 400
 
4.0%
5 365
 
3.6%
10 356
 
3.6%
6 341
 
3.4%
8 337
 
3.4%
4 336
 
3.4%
7 335
 
3.4%
2 333
 
3.3%
9 319
 
3.2%
Other values (343) 5220
52.2%
ValueCountFrequency (%)
0 1484
14.8%
1 400
 
4.0%
2 333
 
3.3%
3 307
 
3.1%
4 336
 
3.4%
5 365
 
3.6%
6 341
 
3.4%
7 335
 
3.4%
8 337
 
3.4%
9 319
 
3.2%
ValueCountFrequency (%)
364315 1
< 0.1%
221810 1
< 0.1%
186687 1
< 0.1%
178631 1
< 0.1%
123739 1
< 0.1%
102048 1
< 0.1%
43313 1
< 0.1%
33013 1
< 0.1%
20955 1
< 0.1%
15999 1
< 0.1%

20년 1월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)3.5%
Missing166
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean173.91326
Minimum0
Maximum327215
Zeros1534
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:15.621714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q321
95-th percentile87
Maximum327215
Range327215
Interquartile range (IQR)18

Descriptive statistics

Standard deviation5025.774
Coefficient of variation (CV)28.898165
Kurtosis2525.2672
Mean173.91326
Median Absolute Deviation (MAD)9
Skewness47.420649
Sum1710263
Variance25258405
MonotonicityNot monotonic
2023-12-12T11:48:15.768258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1534
 
15.3%
1 380
 
3.8%
5 376
 
3.8%
6 376
 
3.8%
4 370
 
3.7%
3 333
 
3.3%
2 318
 
3.2%
8 314
 
3.1%
7 313
 
3.1%
10 311
 
3.1%
Other values (333) 5209
52.1%
ValueCountFrequency (%)
0 1534
15.3%
1 380
 
3.8%
2 318
 
3.2%
3 333
 
3.3%
4 370
 
3.7%
5 376
 
3.8%
6 376
 
3.8%
7 313
 
3.1%
8 314
 
3.1%
9 289
 
2.9%
ValueCountFrequency (%)
327215 1
< 0.1%
208512 1
< 0.1%
197880 1
< 0.1%
142121 1
< 0.1%
138865 1
< 0.1%
122170 1
< 0.1%
30613 1
< 0.1%
29398 1
< 0.1%
21986 1
< 0.1%
19000 1
< 0.1%

20년 2월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct331
Distinct (%)3.4%
Missing164
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean165.15992
Minimum0
Maximum268835
Zeros1690
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:15.953016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q320
95-th percentile82
Maximum268835
Range268835
Interquartile range (IQR)18

Descriptive statistics

Standard deviation4690.2498
Coefficient of variation (CV)28.398232
Kurtosis2168.8391
Mean165.15992
Median Absolute Deviation (MAD)8
Skewness44.834133
Sum1624513
Variance21998443
MonotonicityNot monotonic
2023-12-12T11:48:16.093097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1690
 
16.9%
1 412
 
4.1%
6 395
 
4.0%
5 387
 
3.9%
2 369
 
3.7%
3 368
 
3.7%
4 366
 
3.7%
10 351
 
3.5%
7 350
 
3.5%
8 337
 
3.4%
Other values (321) 4811
48.1%
ValueCountFrequency (%)
0 1690
16.9%
1 412
 
4.1%
2 369
 
3.7%
3 368
 
3.7%
4 366
 
3.7%
5 387
 
3.9%
6 395
 
4.0%
7 350
 
3.5%
8 337
 
3.4%
9 332
 
3.3%
ValueCountFrequency (%)
268835 1
< 0.1%
228106 1
< 0.1%
197410 1
< 0.1%
159625 1
< 0.1%
113128 1
< 0.1%
98529 1
< 0.1%
36441 1
< 0.1%
34773 1
< 0.1%
23967 1
< 0.1%
21281 1
< 0.1%

20년 3월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct316
Distinct (%)3.2%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean154.84804
Minimum0
Maximum318965
Zeros1665
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:16.238117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile77
Maximum318965
Range318965
Interquartile range (IQR)17

Descriptive statistics

Standard deviation4594.0675
Coefficient of variation (CV)29.668232
Kurtosis3091.1258
Mean154.84804
Median Absolute Deviation (MAD)8
Skewness52.371253
Sum1523395
Variance21105456
MonotonicityNot monotonic
2023-12-12T11:48:16.404472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1665
 
16.7%
1 403
 
4.0%
7 365
 
3.6%
6 363
 
3.6%
3 358
 
3.6%
10 347
 
3.5%
4 340
 
3.4%
2 337
 
3.4%
5 332
 
3.3%
8 324
 
3.2%
Other values (306) 5004
50.0%
ValueCountFrequency (%)
0 1665
16.7%
1 403
 
4.0%
2 337
 
3.4%
3 358
 
3.6%
4 340
 
3.4%
5 332
 
3.3%
6 363
 
3.6%
7 365
 
3.6%
8 324
 
3.2%
9 308
 
3.1%
ValueCountFrequency (%)
318965 1
< 0.1%
211022 1
< 0.1%
175600 1
< 0.1%
124376 1
< 0.1%
76982 1
< 0.1%
65525 1
< 0.1%
33596 1
< 0.1%
33178 1
< 0.1%
22709 1
< 0.1%
20222 1
< 0.1%

20년 4월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct310
Distinct (%)3.1%
Missing158
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean157.07356
Minimum0
Maximum331355
Zeros1677
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:16.610622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q319
95-th percentile75
Maximum331355
Range331355
Interquartile range (IQR)17

Descriptive statistics

Standard deviation4795.1332
Coefficient of variation (CV)30.527946
Kurtosis3015.1288
Mean157.07356
Median Absolute Deviation (MAD)8
Skewness51.654825
Sum1545918
Variance22993303
MonotonicityNot monotonic
2023-12-12T11:48:16.762847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1677
 
16.8%
1 465
 
4.7%
4 405
 
4.0%
2 398
 
4.0%
5 375
 
3.8%
7 373
 
3.7%
3 373
 
3.7%
10 364
 
3.6%
6 350
 
3.5%
9 340
 
3.4%
Other values (300) 4722
47.2%
ValueCountFrequency (%)
0 1677
16.8%
1 465
 
4.7%
2 398
 
4.0%
3 373
 
3.7%
4 405
 
4.0%
5 375
 
3.8%
6 350
 
3.5%
7 373
 
3.7%
8 336
 
3.4%
9 340
 
3.4%
ValueCountFrequency (%)
331355 1
< 0.1%
216947 1
< 0.1%
179800 1
< 0.1%
121019 1
< 0.1%
113194 1
< 0.1%
75248 1
< 0.1%
33151 1
< 0.1%
28684 1
< 0.1%
22903 1
< 0.1%
15090 1
< 0.1%

20년 5월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct314
Distinct (%)3.2%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean167.1196
Minimum0
Maximum371945
Zeros1602
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:16.914495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile81.4
Maximum371945
Range371945
Interquartile range (IQR)18

Descriptive statistics

Standard deviation5194.231
Coefficient of variation (CV)31.080921
Kurtosis3313.3131
Mean167.1196
Median Absolute Deviation (MAD)8
Skewness53.931366
Sum1643287
Variance26980036
MonotonicityNot monotonic
2023-12-12T11:48:17.072637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1602
 
16.0%
1 413
 
4.1%
2 359
 
3.6%
5 348
 
3.5%
7 347
 
3.5%
9 337
 
3.4%
6 335
 
3.4%
10 335
 
3.4%
4 324
 
3.2%
8 322
 
3.2%
Other values (304) 5111
51.1%
ValueCountFrequency (%)
0 1602
16.0%
1 413
 
4.1%
2 359
 
3.6%
3 318
 
3.2%
4 324
 
3.2%
5 348
 
3.5%
6 335
 
3.4%
7 347
 
3.5%
8 322
 
3.2%
9 337
 
3.4%
ValueCountFrequency (%)
371945 1
< 0.1%
235425 1
< 0.1%
186540 1
< 0.1%
109095 1
< 0.1%
107437 1
< 0.1%
91033 1
< 0.1%
42421 1
< 0.1%
30719 1
< 0.1%
24609 1
< 0.1%
16649 1
< 0.1%

20년 6월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct318
Distinct (%)3.2%
Missing155
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean166.11315
Minimum0
Maximum320433
Zeros1508
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:17.215413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile81
Maximum320433
Range320433
Interquartile range (IQR)18

Descriptive statistics

Standard deviation4948.0327
Coefficient of variation (CV)29.787122
Kurtosis2616.925
Mean166.11315
Median Absolute Deviation (MAD)8
Skewness48.633892
Sum1635384
Variance24483028
MonotonicityNot monotonic
2023-12-12T11:48:17.353380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1508
 
15.1%
1 400
 
4.0%
5 377
 
3.8%
2 366
 
3.7%
6 352
 
3.5%
9 345
 
3.5%
7 341
 
3.4%
3 332
 
3.3%
10 329
 
3.3%
4 325
 
3.2%
Other values (308) 5170
51.7%
ValueCountFrequency (%)
0 1508
15.1%
1 400
 
4.0%
2 366
 
3.7%
3 332
 
3.3%
4 325
 
3.2%
5 377
 
3.8%
6 352
 
3.5%
7 341
 
3.4%
8 310
 
3.1%
9 345
 
3.5%
ValueCountFrequency (%)
320433 1
< 0.1%
217034 1
< 0.1%
208760 1
< 0.1%
161690 1
< 0.1%
95305 1
< 0.1%
87223 1
< 0.1%
36334 1
< 0.1%
35315 1
< 0.1%
25315 1
< 0.1%
16250 1
< 0.1%

20년 7월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct338
Distinct (%)3.4%
Missing145
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean162.06271
Minimum0
Maximum308367
Zeros1482
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:17.478878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile90
Maximum308367
Range308367
Interquartile range (IQR)20

Descriptive statistics

Standard deviation4686.0954
Coefficient of variation (CV)28.915322
Kurtosis2755.9507
Mean162.06271
Median Absolute Deviation (MAD)9
Skewness49.855698
Sum1597128
Variance21959490
MonotonicityNot monotonic
2023-12-12T11:48:17.596351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1482
 
14.8%
1 359
 
3.6%
2 338
 
3.4%
8 331
 
3.3%
5 330
 
3.3%
7 325
 
3.2%
10 314
 
3.1%
9 314
 
3.1%
4 313
 
3.1%
6 305
 
3.0%
Other values (328) 5444
54.4%
ValueCountFrequency (%)
0 1482
14.8%
1 359
 
3.6%
2 338
 
3.4%
3 296
 
3.0%
4 313
 
3.1%
5 330
 
3.3%
6 305
 
3.0%
7 325
 
3.2%
8 331
 
3.3%
9 314
 
3.1%
ValueCountFrequency (%)
308367 1
< 0.1%
221570 1
< 0.1%
181856 1
< 0.1%
150001 1
< 0.1%
91120 1
< 0.1%
56190 1
< 0.1%
36260 1
< 0.1%
29722 1
< 0.1%
27861 1
< 0.1%
21139 1
< 0.1%

20년 8월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct341
Distinct (%)3.5%
Missing150
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean152.76569
Minimum0
Maximum209080
Zeros1508
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:17.719387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322
95-th percentile88
Maximum209080
Range209080
Interquartile range (IQR)19

Descriptive statistics

Standard deviation3972.6466
Coefficient of variation (CV)26.004836
Kurtosis1793.5813
Mean152.76569
Median Absolute Deviation (MAD)9
Skewness41.030275
Sum1504742
Variance15781921
MonotonicityNot monotonic
2023-12-12T11:48:17.838506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1508
 
15.1%
1 379
 
3.8%
5 373
 
3.7%
10 355
 
3.5%
7 334
 
3.3%
6 332
 
3.3%
2 327
 
3.3%
9 327
 
3.3%
4 313
 
3.1%
3 305
 
3.0%
Other values (331) 5297
53.0%
ValueCountFrequency (%)
0 1508
15.1%
1 379
 
3.8%
2 327
 
3.3%
3 305
 
3.0%
4 313
 
3.1%
5 373
 
3.7%
6 332
 
3.3%
7 334
 
3.3%
8 297
 
3.0%
9 327
 
3.3%
ValueCountFrequency (%)
209080 1
< 0.1%
177009 1
< 0.1%
154282 1
< 0.1%
153936 1
< 0.1%
132994 1
< 0.1%
93556 1
< 0.1%
52421 1
< 0.1%
36060 1
< 0.1%
21308 1
< 0.1%
16968 1
< 0.1%

20년 9월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct341
Distinct (%)3.5%
Missing147
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean146.46839
Minimum0
Maximum189791
Zeros1499
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:17.963756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile91
Maximum189791
Range189791
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3689.7546
Coefficient of variation (CV)25.191474
Kurtosis1864.5908
Mean146.46839
Median Absolute Deviation (MAD)9
Skewness41.58462
Sum1443153
Variance13614289
MonotonicityNot monotonic
2023-12-12T11:48:18.086762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1499
 
15.0%
1 377
 
3.8%
6 369
 
3.7%
5 330
 
3.3%
2 324
 
3.2%
7 313
 
3.1%
3 307
 
3.1%
10 296
 
3.0%
9 291
 
2.9%
8 289
 
2.9%
Other values (331) 5458
54.6%
ValueCountFrequency (%)
0 1499
15.0%
1 377
 
3.8%
2 324
 
3.2%
3 307
 
3.1%
4 289
 
2.9%
5 330
 
3.3%
6 369
 
3.7%
7 313
 
3.1%
8 289
 
2.9%
9 291
 
2.9%
ValueCountFrequency (%)
189791 1
< 0.1%
188833 1
< 0.1%
133411 1
< 0.1%
125500 1
< 0.1%
113339 1
< 0.1%
104150 1
< 0.1%
38095 1
< 0.1%
32192 1
< 0.1%
21375 1
< 0.1%
19100 1
< 0.1%

20년 10월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct362
Distinct (%)3.7%
Missing142
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean173.63238
Minimum0
Maximum292450
Zeros1482
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:18.492640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324
95-th percentile94
Maximum292450
Range292450
Interquartile range (IQR)20

Descriptive statistics

Standard deviation4774.68
Coefficient of variation (CV)27.498788
Kurtosis2218.8603
Mean173.63238
Median Absolute Deviation (MAD)10
Skewness44.815937
Sum1711668
Variance22797569
MonotonicityNot monotonic
2023-12-12T11:48:18.619288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1482
 
14.8%
1 372
 
3.7%
10 312
 
3.1%
6 312
 
3.1%
2 307
 
3.1%
4 307
 
3.1%
9 299
 
3.0%
5 295
 
2.9%
7 295
 
2.9%
3 288
 
2.9%
Other values (352) 5589
55.9%
ValueCountFrequency (%)
0 1482
14.8%
1 372
 
3.7%
2 307
 
3.1%
3 288
 
2.9%
4 307
 
3.1%
5 295
 
2.9%
6 312
 
3.1%
7 295
 
2.9%
8 276
 
2.8%
9 299
 
3.0%
ValueCountFrequency (%)
292450 1
< 0.1%
205420 1
< 0.1%
181686 1
< 0.1%
159225 1
< 0.1%
143927 1
< 0.1%
109920 1
< 0.1%
46131 1
< 0.1%
29065 1
< 0.1%
23769 1
< 0.1%
21558 1
< 0.1%

20년 11월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)3.4%
Missing140
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean168.43935
Minimum0
Maximum354955
Zeros1513
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:18.770506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile84
Maximum354955
Range354955
Interquartile range (IQR)20

Descriptive statistics

Standard deviation5024.2564
Coefficient of variation (CV)29.828282
Kurtosis3214.5297
Mean168.43935
Median Absolute Deviation (MAD)9
Skewness53.01874
Sum1660812
Variance25243153
MonotonicityNot monotonic
2023-12-12T11:48:18.904104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1513
 
15.1%
1 367
 
3.7%
10 328
 
3.3%
4 325
 
3.2%
5 324
 
3.2%
9 318
 
3.2%
7 314
 
3.1%
2 313
 
3.1%
8 299
 
3.0%
3 293
 
2.9%
Other values (329) 5466
54.7%
ValueCountFrequency (%)
0 1513
15.1%
1 367
 
3.7%
2 313
 
3.1%
3 293
 
2.9%
4 325
 
3.2%
5 324
 
3.2%
6 285
 
2.9%
7 314
 
3.1%
8 299
 
3.0%
9 318
 
3.2%
ValueCountFrequency (%)
354955 1
< 0.1%
242400 1
< 0.1%
136994 1
< 0.1%
130520 1
< 0.1%
109046 1
< 0.1%
107168 1
< 0.1%
36034 1
< 0.1%
34043 1
< 0.1%
18153 1
< 0.1%
16815 1
< 0.1%

20년 12월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct344
Distinct (%)3.5%
Missing131
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean176.38616
Minimum0
Maximum398315
Zeros1510
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:48:19.042020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322
95-th percentile88
Maximum398315
Range398315
Interquartile range (IQR)19

Descriptive statistics

Standard deviation5328.1761
Coefficient of variation (CV)30.20745
Kurtosis3536.6551
Mean176.38616
Median Absolute Deviation (MAD)9
Skewness54.721945
Sum1740755
Variance28389460
MonotonicityNot monotonic
2023-12-12T11:48:19.170763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1510
 
15.1%
5 389
 
3.9%
1 389
 
3.9%
10 336
 
3.4%
7 334
 
3.3%
4 330
 
3.3%
6 328
 
3.3%
3 324
 
3.2%
2 317
 
3.2%
8 316
 
3.2%
Other values (334) 5296
53.0%
ValueCountFrequency (%)
0 1510
15.1%
1 389
 
3.9%
2 317
 
3.2%
3 324
 
3.2%
4 330
 
3.3%
5 389
 
3.9%
6 328
 
3.3%
7 334
 
3.3%
8 316
 
3.2%
9 306
 
3.1%
ValueCountFrequency (%)
398315 1
< 0.1%
188090 1
< 0.1%
171861 1
< 0.1%
140855 1
< 0.1%
130813 1
< 0.1%
119889 1
< 0.1%
35314 1
< 0.1%
32966 1
< 0.1%
28731 1
< 0.1%
22320 1
< 0.1%

Sample

연번주소19년 1월19년 2월19년 3월19년 4월19년 5월19년 6월19년 7월19년 8월19년 9월19년 10월19년 11월19년 12월20년 1월20년 2월20년 3월20년 4월20년 5월20년 6월20년 7월20년 8월20년 9월20년 10월20년 11월20년 12월
4577445775전라북도 군산시 옥봉리 1605-814914111115192115151517181317131418221717212020
1208312084전라북도 군산시 조촌동 1518876891091210799877109108991010
2534825349전라북도 군산시 나운동 835-4521101020300030101011010
31973198전라북도 군산시 문화동 910-22202419192320262332282227222821232423262725263022
2422624227전라북도 군산시 나운동 555-151074613121715191341008109101515151214
2831128312전라북도 군산시 소룡동 13937887879910108971069778710978
15971598전라북도 군산시 오룡동 846-701410279973022411012131307
15191520전라북도 군산시 오룡동 894-47151714131817171515181014121415111610101512181613
14121413전라북도 군산시 오룡동 832-62244235544011113321324313
2911129112전라북도 군산시 소룡동 1386-5101110888789810108121011912108910109
연번주소19년 1월19년 2월19년 3월19년 4월19년 5월19년 6월19년 7월19년 8월19년 9월19년 10월19년 11월19년 12월20년 1월20년 2월20년 3월20년 4월20년 5월20년 6월20년 7월20년 8월20년 9월20년 10월20년 11월20년 12월
20372038전라북도 군산시 신풍동 892-98585478799968464456320338
85608561전라북도 군산시 장재동 380-116182514182017171623222119221915171612136000
1848618487전라북도 군산시 수송동 64-8251918172020212223242224302325232323262535402826
4796747968전라북도 군산시 고봉리 455-1231122222231211212322353
3062630627전라북도 군산시 오식도동 622-6110101001100120121112111
90029003전라북도 군산시 미원동 315424360725486426441673777413040903517513834425020505554854954205036653746352823262430450088768471
4902249023전라북도 군산시 옥곤리 460-716121391116191920221816161414141719191817201517
32713272전라북도 군산시 문화동 913-2181719141715966767666656768667
79457946전라북도 군산시 대명2길 1712041308119910901177106212281200123412061118110511321118107795210961098115712431390120511591188
2587725878전라북도 군산시 나운동 1187-76354543145662443564766667