Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells4528
Missing cells (%)1.7%
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 2019년 1월부터 2020년 12월까지 2년간의 상수도 사용량(번호, 주소(지번, 도로명포함), 상수도 사용량(톤))을 제공하여 데이터를 활용할 수 있도로 개방함.
Author전라북도 군산시
URLhttps://www.data.go.kr/data/15084502/fileData.do

Alerts

19년 1월 has 250 (2.5%) missing valuesMissing
19년 2월 has 229 (2.3%) missing valuesMissing
19년 3월 has 230 (2.3%) missing valuesMissing
19년 4월 has 229 (2.3%) missing valuesMissing
19년 5월 has 222 (2.2%) missing valuesMissing
19년 6월 has 220 (2.2%) missing valuesMissing
19년 7월 has 202 (2.0%) missing valuesMissing
19년 8월 has 196 (2.0%) missing valuesMissing
19년 9월 has 190 (1.9%) missing valuesMissing
19년 10월 has 193 (1.9%) missing valuesMissing
19년 11월 has 190 (1.9%) missing valuesMissing
19년 12월 has 190 (1.9%) missing valuesMissing
20년 1월 has 182 (1.8%) missing valuesMissing
20년 2월 has 181 (1.8%) missing valuesMissing
20년 3월 has 175 (1.8%) missing valuesMissing
20년 4월 has 170 (1.7%) missing valuesMissing
20년 5월 has 180 (1.8%) missing valuesMissing
20년 6월 has 173 (1.7%) missing valuesMissing
20년 7월 has 164 (1.6%) missing valuesMissing
20년 8월 has 161 (1.6%) missing valuesMissing
20년 9월 has 156 (1.6%) missing valuesMissing
20년 10월 has 153 (1.5%) missing valuesMissing
20년 11월 has 148 (1.5%) missing valuesMissing
20년 12월 has 144 (1.4%) missing valuesMissing
19년 1월 is highly skewed (γ1 = 68.83380208)Skewed
19년 2월 is highly skewed (γ1 = 73.96291173)Skewed
19년 3월 is highly skewed (γ1 = 72.62355945)Skewed
19년 4월 is highly skewed (γ1 = 69.80861001)Skewed
19년 5월 is highly skewed (γ1 = 71.06143169)Skewed
19년 6월 is highly skewed (γ1 = 74.46844566)Skewed
19년 7월 is highly skewed (γ1 = 73.24367553)Skewed
19년 8월 is highly skewed (γ1 = 76.12981559)Skewed
19년 9월 is highly skewed (γ1 = 76.09681169)Skewed
19년 10월 is highly skewed (γ1 = 75.85014017)Skewed
19년 11월 is highly skewed (γ1 = 81.9192465)Skewed
19년 12월 is highly skewed (γ1 = 78.08634258)Skewed
20년 1월 is highly skewed (γ1 = 72.66532496)Skewed
20년 2월 is highly skewed (γ1 = 70.78726465)Skewed
20년 3월 is highly skewed (γ1 = 76.88867136)Skewed
20년 4월 is highly skewed (γ1 = 75.32862502)Skewed
20년 5월 is highly skewed (γ1 = 79.80538867)Skewed
20년 6월 is highly skewed (γ1 = 83.88321458)Skewed
20년 7월 is highly skewed (γ1 = 85.87822319)Skewed
20년 8월 is highly skewed (γ1 = 71.78159552)Skewed
20년 9월 is highly skewed (γ1 = 76.05081332)Skewed
20년 10월 is highly skewed (γ1 = 77.67146849)Skewed
20년 11월 is highly skewed (γ1 = 73.36679347)Skewed
20년 12월 is highly skewed (γ1 = 73.57436843)Skewed
연번 has unique valuesUnique
19년 1월 has 1507 (15.1%) zerosZeros
19년 2월 has 1604 (16.0%) zerosZeros
19년 3월 has 1672 (16.7%) zerosZeros
19년 4월 has 1649 (16.5%) zerosZeros
19년 5월 has 1519 (15.2%) zerosZeros
19년 6월 has 1465 (14.6%) zerosZeros
19년 7월 has 1423 (14.2%) zerosZeros
19년 8월 has 1421 (14.2%) zerosZeros
19년 9월 has 1450 (14.5%) zerosZeros
19년 10월 has 1426 (14.3%) zerosZeros
19년 11월 has 1508 (15.1%) zerosZeros
19년 12월 has 1456 (14.6%) zerosZeros
20년 1월 has 1541 (15.4%) zerosZeros
20년 2월 has 1672 (16.7%) zerosZeros
20년 3월 has 1701 (17.0%) zerosZeros
20년 4월 has 1716 (17.2%) zerosZeros
20년 5월 has 1625 (16.2%) zerosZeros
20년 6월 has 1544 (15.4%) zerosZeros
20년 7월 has 1468 (14.7%) zerosZeros
20년 8월 has 1525 (15.2%) zerosZeros
20년 9월 has 1503 (15.0%) zerosZeros
20년 10월 has 1494 (14.9%) zerosZeros
20년 11월 has 1482 (14.8%) zerosZeros
20년 12월 has 1520 (15.2%) zerosZeros

Reproduction

Analysis started2023-12-12 12:19:39.271130
Analysis finished2023-12-12 12:19:39.912364
Duration0.64 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%
Mean24859.691
Minimum9
Maximum50067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:40.026009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile2455.65
Q112228
median24664
Q337438.75
95-th percentile47652.4
Maximum50067
Range50058
Interquartile range (IQR)25210.75

Descriptive statistics

Standard deviation14507.336
Coefficient of variation (CV)0.58356864
Kurtosis-1.2070235
Mean24859.691
Median Absolute Deviation (MAD)12551
Skewness0.012982442
Sum2.4859691 × 108
Variance2.104628 × 108
MonotonicityNot monotonic
2023-12-12T21:19:40.243144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7379 1
 
< 0.1%
3320 1
 
< 0.1%
25305 1
 
< 0.1%
9972 1
 
< 0.1%
17767 1
 
< 0.1%
47961 1
 
< 0.1%
26722 1
 
< 0.1%
26460 1
 
< 0.1%
2947 1
 
< 0.1%
12942 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
26 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
32 1
< 0.1%
33 1
< 0.1%
ValueCountFrequency (%)
50067 1
< 0.1%
50064 1
< 0.1%
50060 1
< 0.1%
50059 1
< 0.1%
50055 1
< 0.1%
50053 1
< 0.1%
50044 1
< 0.1%
50038 1
< 0.1%
50036 1
< 0.1%
50035 1
< 0.1%

주소
Text

Distinct8122
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:19:40.748451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length18.0744
Min length12

Characters and Unicode

Total characters180744
Distinct characters227
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7653 ?
Unique (%)76.5%

Sample

1st row전라북도 군산시 영동 22-1
2nd row전라북도 군산시 옥봉리 1309-12
3rd row전라북도 군산시 운회리 631-28
4th row전라북도 군산시 수송동 924
5th row전라북도 군산시 수송동 63-107
ValueCountFrequency (%)
전라북도 10000
24.6%
군산시 10000
24.6%
나운동 1126
 
2.8%
산북동 607
 
1.5%
조촌동 469
 
1.2%
수송동 448
 
1.1%
소룡동 441
 
1.1%
경암동 426
 
1.0%
문화동 319
 
0.8%
오식도동 234
 
0.6%
Other values (6821) 16583
40.8%
2023-12-12T21:19:41.479038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30690
17.0%
산 11269
 
6.2%
북 10651
 
5.9%
도 10473
 
5.8%
시 10023
 
5.5%
전 10014
 
5.5%
군 10011
 
5.5%
라 10010
 
5.5%
- 7585
 
4.2%
1 7208
 
4.0%
Other values (217) 62810
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102540
56.7%
Decimal Number 39928
 
22.1%
Space Separator 30690
 
17.0%
Dash Punctuation 7585
 
4.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 11269
11.0%
북 10651
10.4%
도 10473
10.2%
시 10023
9.8%
전 10014
9.8%
군 10011
9.8%
라 10010
9.8%
동 7094
 
6.9%
리 2477
 
2.4%
나 1191
 
1.2%
Other values (204) 19327
18.8%
Decimal Number
ValueCountFrequency (%)
1 7208
18.1%
2 4515
11.3%
3 4439
11.1%
5 4263
10.7%
8 3964
9.9%
4 3693
9.2%
7 3528
8.8%
6 3290
8.2%
9 2777
 
7.0%
0 2251
 
5.6%
Space Separator
ValueCountFrequency (%)
30690
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7585
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102540
56.7%
Common 78204
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 11269
11.0%
북 10651
10.4%
도 10473
10.2%
시 10023
9.8%
전 10014
9.8%
군 10011
9.8%
라 10010
9.8%
동 7094
 
6.9%
리 2477
 
2.4%
나 1191
 
1.2%
Other values (204) 19327
18.8%
Common
ValueCountFrequency (%)
30690
39.2%
- 7585
 
9.7%
1 7208
 
9.2%
2 4515
 
5.8%
3 4439
 
5.7%
5 4263
 
5.5%
8 3964
 
5.1%
4 3693
 
4.7%
7 3528
 
4.5%
6 3290
 
4.2%
Other values (3) 5029
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102540
56.7%
ASCII 78204
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30690
39.2%
- 7585
 
9.7%
1 7208
 
9.2%
2 4515
 
5.8%
3 4439
 
5.7%
5 4263
 
5.5%
8 3964
 
5.1%
4 3693
 
4.7%
7 3528
 
4.5%
6 3290
 
4.2%
Other values (3) 5029
 
6.4%
Hangul
ValueCountFrequency (%)
산 11269
11.0%
북 10651
10.4%
도 10473
10.2%
시 10023
9.8%
전 10014
9.8%
군 10011
9.8%
라 10010
9.8%
동 7094
 
6.9%
리 2477
 
2.4%
나 1191
 
1.2%
Other values (204) 19327
18.8%

19년 1월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct318
Distinct (%)3.3%
Missing250
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean91.490256
Minimum0
Maximum223200
Zeros1507
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:41.696148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile81
Maximum223200
Range223200
Interquartile range (IQR)18

Descriptive statistics

Standard deviation2670.197
Coefficient of variation (CV)29.185588
Kurtosis5351.1666
Mean91.490256
Median Absolute Deviation (MAD)8
Skewness68.833802
Sum892030
Variance7129951.8
MonotonicityNot monotonic
2023-12-12T21:19:41.919268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1507
 
15.1%
5 381
 
3.8%
1 361
 
3.6%
3 356
 
3.6%
10 349
 
3.5%
4 346
 
3.5%
7 346
 
3.5%
6 336
 
3.4%
2 320
 
3.2%
8 311
 
3.1%
Other values (308) 5137
51.4%
ValueCountFrequency (%)
0 1507
15.1%
1 361
 
3.6%
2 320
 
3.2%
3 356
 
3.6%
4 346
 
3.5%
5 381
 
3.8%
6 336
 
3.4%
7 346
 
3.5%
8 311
 
3.1%
9 310
 
3.1%
ValueCountFrequency (%)
223200 1
< 0.1%
113807 1
< 0.1%
44840 1
< 0.1%
36384 1
< 0.1%
23324 1
< 0.1%
21780 1
< 0.1%
20802 1
< 0.1%
19249 1
< 0.1%
18898 1
< 0.1%
18300 1
< 0.1%

19년 2월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)3.3%
Missing229
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean98.345001
Minimum0
Maximum267500
Zeros1604
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:42.159793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile82
Maximum267500
Range267500
Interquartile range (IQR)17

Descriptive statistics

Standard deviation3065.4469
Coefficient of variation (CV)31.170338
Kurtosis6131.6519
Mean98.345001
Median Absolute Deviation (MAD)8
Skewness73.962912
Sum960929
Variance9396964.8
MonotonicityNot monotonic
2023-12-12T21:19:42.375769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1604
 
16.0%
5 396
 
4.0%
1 384
 
3.8%
3 370
 
3.7%
10 363
 
3.6%
6 361
 
3.6%
7 359
 
3.6%
8 353
 
3.5%
4 343
 
3.4%
9 335
 
3.4%
Other values (311) 4903
49.0%
ValueCountFrequency (%)
0 1604
16.0%
1 384
 
3.8%
2 311
 
3.1%
3 370
 
3.7%
4 343
 
3.4%
5 396
 
4.0%
6 361
 
3.6%
7 359
 
3.6%
8 353
 
3.5%
9 335
 
3.4%
ValueCountFrequency (%)
267500 1
< 0.1%
114236 1
< 0.1%
42340 1
< 0.1%
36424 1
< 0.1%
28815 1
< 0.1%
25306 1
< 0.1%
21767 1
< 0.1%
21500 1
< 0.1%
20050 1
< 0.1%
13773 1
< 0.1%

19년 3월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct312
Distinct (%)3.2%
Missing230
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean97.490276
Minimum0
Maximum269000
Zeros1672
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:42.611083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile75
Maximum269000
Range269000
Interquartile range (IQR)17

Descriptive statistics

Standard deviation3142.1766
Coefficient of variation (CV)32.230667
Kurtosis5834.583
Mean97.490276
Median Absolute Deviation (MAD)8
Skewness72.623559
Sum952480
Variance9873274
MonotonicityNot monotonic
2023-12-12T21:19:42.822873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1672
 
16.7%
4 382
 
3.8%
6 374
 
3.7%
1 371
 
3.7%
7 353
 
3.5%
5 342
 
3.4%
8 336
 
3.4%
10 335
 
3.4%
3 324
 
3.2%
9 323
 
3.2%
Other values (302) 4958
49.6%
ValueCountFrequency (%)
0 1672
16.7%
1 371
 
3.7%
2 303
 
3.0%
3 324
 
3.2%
4 382
 
3.8%
5 342
 
3.4%
6 374
 
3.7%
7 353
 
3.5%
8 336
 
3.4%
9 323
 
3.2%
ValueCountFrequency (%)
269000 1
< 0.1%
134108 1
< 0.1%
38810 1
< 0.1%
34042 1
< 0.1%
23783 1
< 0.1%
21550 1
< 0.1%
19635 1
< 0.1%
19280 1
< 0.1%
17600 1
< 0.1%
15930 1
< 0.1%

19년 4월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct303
Distinct (%)3.1%
Missing229
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean87.506192
Minimum0
Maximum226200
Zeros1649
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:42.994334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q317
95-th percentile71
Maximum226200
Range226200
Interquartile range (IQR)15

Descriptive statistics

Standard deviation2705.3872
Coefficient of variation (CV)30.916524
Kurtosis5423.5075
Mean87.506192
Median Absolute Deviation (MAD)7
Skewness69.80861
Sum855023
Variance7319120.2
MonotonicityNot monotonic
2023-12-12T21:19:43.149525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1649
 
16.5%
3 460
 
4.6%
5 440
 
4.4%
4 425
 
4.2%
1 423
 
4.2%
6 408
 
4.1%
2 406
 
4.1%
10 383
 
3.8%
8 374
 
3.7%
7 368
 
3.7%
Other values (293) 4435
44.4%
ValueCountFrequency (%)
0 1649
16.5%
1 423
 
4.2%
2 406
 
4.1%
3 460
 
4.6%
4 425
 
4.2%
5 440
 
4.4%
6 408
 
4.1%
7 368
 
3.7%
8 374
 
3.7%
9 324
 
3.2%
ValueCountFrequency (%)
226200 1
< 0.1%
121982 1
< 0.1%
36230 1
< 0.1%
30080 1
< 0.1%
25393 1
< 0.1%
21139 1
< 0.1%
19619 1
< 0.1%
19160 1
< 0.1%
18781 1
< 0.1%
13100 1
< 0.1%

19년 5월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)3.4%
Missing222
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean92.751483
Minimum0
Maximum238900
Zeros1519
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:43.618640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile84
Maximum238900
Range238900
Interquartile range (IQR)17

Descriptive statistics

Standard deviation2817.4557
Coefficient of variation (CV)30.376395
Kurtosis5632.619
Mean92.751483
Median Absolute Deviation (MAD)8
Skewness71.061432
Sum906924
Variance7938056.5
MonotonicityNot monotonic
2023-12-12T21:19:43.797852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1519
 
15.2%
1 438
 
4.4%
6 401
 
4.0%
4 393
 
3.9%
7 365
 
3.6%
3 359
 
3.6%
5 353
 
3.5%
8 351
 
3.5%
9 338
 
3.4%
2 333
 
3.3%
Other values (327) 4928
49.3%
ValueCountFrequency (%)
0 1519
15.2%
1 438
 
4.4%
2 333
 
3.3%
3 359
 
3.6%
4 393
 
3.9%
5 353
 
3.5%
6 401
 
4.0%
7 365
 
3.6%
8 351
 
3.5%
9 338
 
3.4%
ValueCountFrequency (%)
238900 1
< 0.1%
120890 1
< 0.1%
38173 1
< 0.1%
32810 1
< 0.1%
27785 1
< 0.1%
22050 1
< 0.1%
20780 1
< 0.1%
19647 1
< 0.1%
18994 1
< 0.1%
13630 1
< 0.1%

19년 6월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)3.4%
Missing220
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean87.944376
Minimum0
Maximum244100
Zeros1465
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:43.966635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile85
Maximum244100
Range244100
Interquartile range (IQR)18

Descriptive statistics

Standard deviation2816.585
Coefficient of variation (CV)32.026891
Kurtosis6083.2929
Mean87.944376
Median Absolute Deviation (MAD)8
Skewness74.468446
Sum860096
Variance7933151
MonotonicityNot monotonic
2023-12-12T21:19:44.140834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1465
 
14.6%
5 382
 
3.8%
4 375
 
3.8%
1 369
 
3.7%
6 365
 
3.6%
3 361
 
3.6%
7 355
 
3.5%
2 341
 
3.4%
10 329
 
3.3%
8 324
 
3.2%
Other values (323) 5114
51.1%
ValueCountFrequency (%)
0 1465
14.6%
1 369
 
3.7%
2 341
 
3.4%
3 361
 
3.6%
4 375
 
3.8%
5 382
 
3.8%
6 365
 
3.6%
7 355
 
3.5%
8 324
 
3.2%
9 307
 
3.1%
ValueCountFrequency (%)
244100 1
< 0.1%
118454 1
< 0.1%
31198 1
< 0.1%
23520 1
< 0.1%
20972 1
< 0.1%
20444 1
< 0.1%
20140 1
< 0.1%
16769 1
< 0.1%
13630 1
< 0.1%
12701 1
< 0.1%

19년 7월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct347
Distinct (%)3.5%
Missing202
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean97.995815
Minimum0
Maximum262200
Zeros1423
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:44.305415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q322
95-th percentile93
Maximum262200
Range262200
Interquartile range (IQR)18

Descriptive statistics

Standard deviation3028.3249
Coefficient of variation (CV)30.902594
Kurtosis5986.957
Mean97.995815
Median Absolute Deviation (MAD)9
Skewness73.243676
Sum960163
Variance9170751.6
MonotonicityNot monotonic
2023-12-12T21:19:44.477833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1423
 
14.2%
1 393
 
3.9%
6 377
 
3.8%
5 342
 
3.4%
4 335
 
3.4%
7 335
 
3.4%
2 322
 
3.2%
8 317
 
3.2%
10 313
 
3.1%
9 312
 
3.1%
Other values (337) 5329
53.3%
ValueCountFrequency (%)
0 1423
14.2%
1 393
 
3.9%
2 322
 
3.2%
3 307
 
3.1%
4 335
 
3.4%
5 342
 
3.4%
6 377
 
3.8%
7 335
 
3.4%
8 317
 
3.2%
9 312
 
3.1%
ValueCountFrequency (%)
262200 1
< 0.1%
119944 1
< 0.1%
43290 1
< 0.1%
36241 1
< 0.1%
29995 1
< 0.1%
23664 1
< 0.1%
21200 1
< 0.1%
19806 1
< 0.1%
14893 1
< 0.1%
13706 1
< 0.1%

19년 8월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct331
Distinct (%)3.4%
Missing196
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean94.341595
Minimum0
Maximum267700
Zeros1421
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:44.656881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q323
95-th percentile88
Maximum267700
Range267700
Interquartile range (IQR)19

Descriptive statistics

Standard deviation3035.1974
Coefficient of variation (CV)32.17242
Kurtosis6387.9118
Mean94.341595
Median Absolute Deviation (MAD)9
Skewness76.129816
Sum924925
Variance9212423.4
MonotonicityNot monotonic
2023-12-12T21:19:44.829797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1421
 
14.2%
1 372
 
3.7%
5 359
 
3.6%
6 351
 
3.5%
10 333
 
3.3%
3 318
 
3.2%
7 316
 
3.2%
8 316
 
3.2%
2 315
 
3.1%
4 305
 
3.0%
Other values (321) 5398
54.0%
ValueCountFrequency (%)
0 1421
14.2%
1 372
 
3.7%
2 315
 
3.1%
3 318
 
3.2%
4 305
 
3.0%
5 359
 
3.6%
6 351
 
3.5%
7 316
 
3.2%
8 316
 
3.2%
9 304
 
3.0%
ValueCountFrequency (%)
267700 1
< 0.1%
115986 1
< 0.1%
44750 1
< 0.1%
22966 1
< 0.1%
22487 1
< 0.1%
20990 1
< 0.1%
17535 1
< 0.1%
16621 1
< 0.1%
16554 1
< 0.1%
13250 1
< 0.1%

19년 9월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)3.5%
Missing190
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean97.906524
Minimum0
Maximum272500
Zeros1450
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:45.014980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324
95-th percentile91
Maximum272500
Range272500
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3081.0057
Coefficient of variation (CV)31.468849
Kurtosis6421.9358
Mean97.906524
Median Absolute Deviation (MAD)9
Skewness76.096812
Sum960463
Variance9492595.9
MonotonicityNot monotonic
2023-12-12T21:19:45.277311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1450
 
14.5%
8 349
 
3.5%
1 329
 
3.3%
5 325
 
3.2%
9 316
 
3.2%
4 312
 
3.1%
7 304
 
3.0%
10 296
 
3.0%
3 294
 
2.9%
2 290
 
2.9%
Other values (332) 5545
55.5%
ValueCountFrequency (%)
0 1450
14.5%
1 329
 
3.3%
2 290
 
2.9%
3 294
 
2.9%
4 312
 
3.1%
5 325
 
3.2%
6 282
 
2.8%
7 304
 
3.0%
8 349
 
3.5%
9 316
 
3.2%
ValueCountFrequency (%)
272500 1
< 0.1%
113284 1
< 0.1%
39580 1
< 0.1%
36095 1
< 0.1%
26289 1
< 0.1%
22670 1
< 0.1%
19890 1
< 0.1%
17441 1
< 0.1%
14102 1
< 0.1%
13205 1
< 0.1%

19년 10월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct357
Distinct (%)3.6%
Missing193
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean98.872744
Minimum0
Maximum274300
Zeros1426
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:45.527396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324
95-th percentile96
Maximum274300
Range274300
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3112.3436
Coefficient of variation (CV)31.478276
Kurtosis6362.8797
Mean98.872744
Median Absolute Deviation (MAD)9
Skewness75.85014
Sum969645
Variance9686682.4
MonotonicityNot monotonic
2023-12-12T21:19:45.784173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1426
 
14.3%
1 375
 
3.8%
10 333
 
3.3%
5 320
 
3.2%
9 313
 
3.1%
7 302
 
3.0%
6 301
 
3.0%
13 281
 
2.8%
2 280
 
2.8%
4 279
 
2.8%
Other values (347) 5597
56.0%
ValueCountFrequency (%)
0 1426
14.3%
1 375
 
3.8%
2 280
 
2.8%
3 271
 
2.7%
4 279
 
2.8%
5 320
 
3.2%
6 301
 
3.0%
7 302
 
3.0%
8 279
 
2.8%
9 313
 
3.1%
ValueCountFrequency (%)
274300 1
< 0.1%
118518 1
< 0.1%
37071 1
< 0.1%
32430 1
< 0.1%
25080 1
< 0.1%
22055 1
< 0.1%
21820 1
< 0.1%
20642 1
< 0.1%
14282 1
< 0.1%
13985 1
< 0.1%

19년 11월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct326
Distinct (%)3.3%
Missing190
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean85.742508
Minimum0
Maximum253400
Zeros1508
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:45.997326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile84
Maximum253400
Range253400
Interquartile range (IQR)17

Descriptive statistics

Standard deviation2751.0821
Coefficient of variation (CV)32.085393
Kurtosis7380.0846
Mean85.742508
Median Absolute Deviation (MAD)8
Skewness81.919247
Sum841134
Variance7568452.5
MonotonicityNot monotonic
2023-12-12T21:19:46.228174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1508
 
15.1%
1 399
 
4.0%
8 370
 
3.7%
6 365
 
3.6%
4 357
 
3.6%
7 352
 
3.5%
5 352
 
3.5%
9 349
 
3.5%
3 347
 
3.5%
2 333
 
3.3%
Other values (316) 5078
50.8%
ValueCountFrequency (%)
0 1508
15.1%
1 399
 
4.0%
2 333
 
3.3%
3 347
 
3.5%
4 357
 
3.6%
5 352
 
3.5%
6 365
 
3.6%
7 352
 
3.5%
8 370
 
3.7%
9 349
 
3.5%
ValueCountFrequency (%)
253400 1
< 0.1%
70783 1
< 0.1%
33964 1
< 0.1%
32640 1
< 0.1%
22131 1
< 0.1%
20820 1
< 0.1%
20498 1
< 0.1%
19601 1
< 0.1%
14462 1
< 0.1%
12766 1
< 0.1%

19년 12월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)3.4%
Missing190
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean93.675739
Minimum0
Maximum270300
Zeros1456
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:46.429572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile89
Maximum270300
Range270300
Interquartile range (IQR)18

Descriptive statistics

Standard deviation3012.1071
Coefficient of variation (CV)32.154613
Kurtosis6742.0755
Mean93.675739
Median Absolute Deviation (MAD)8
Skewness78.086343
Sum918959
Variance9072789.2
MonotonicityNot monotonic
2023-12-12T21:19:46.638058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1456
 
14.6%
1 398
 
4.0%
6 371
 
3.7%
5 366
 
3.7%
3 351
 
3.5%
7 347
 
3.5%
8 337
 
3.4%
2 334
 
3.3%
10 330
 
3.3%
4 328
 
3.3%
Other values (327) 5192
51.9%
ValueCountFrequency (%)
0 1456
14.6%
1 398
 
4.0%
2 334
 
3.3%
3 351
 
3.5%
4 328
 
3.3%
5 366
 
3.7%
6 371
 
3.7%
7 347
 
3.5%
8 337
 
3.4%
9 321
 
3.2%
ValueCountFrequency (%)
270300 1
< 0.1%
102048 1
< 0.1%
37730 1
< 0.1%
33013 1
< 0.1%
23004 1
< 0.1%
20955 1
< 0.1%
20310 1
< 0.1%
20217 1
< 0.1%
15566 1
< 0.1%
14151 1
< 0.1%

20년 1월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)3.5%
Missing182
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean93.457629
Minimum0
Maximum260100
Zeros1541
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:46.836713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile86
Maximum260100
Range260100
Interquartile range (IQR)18

Descriptive statistics

Standard deviation3064.7493
Coefficient of variation (CV)32.792928
Kurtosis5749.5617
Mean93.457629
Median Absolute Deviation (MAD)8
Skewness72.665325
Sum917567
Variance9392688.2
MonotonicityNot monotonic
2023-12-12T21:19:47.064574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1541
 
15.4%
5 382
 
3.8%
4 371
 
3.7%
3 362
 
3.6%
1 359
 
3.6%
6 338
 
3.4%
7 337
 
3.4%
10 330
 
3.3%
11 325
 
3.2%
8 321
 
3.2%
Other values (332) 5152
51.5%
ValueCountFrequency (%)
0 1541
15.4%
1 359
 
3.6%
2 321
 
3.2%
3 362
 
3.6%
4 371
 
3.7%
5 382
 
3.8%
6 338
 
3.4%
7 337
 
3.4%
8 321
 
3.2%
9 316
 
3.2%
ValueCountFrequency (%)
260100 1
< 0.1%
142121 1
< 0.1%
30613 1
< 0.1%
22190 1
< 0.1%
21986 1
< 0.1%
20340 1
< 0.1%
19785 1
< 0.1%
19632 1
< 0.1%
19000 1
< 0.1%
13054 1
< 0.1%

20년 2월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct326
Distinct (%)3.3%
Missing181
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean96.377024
Minimum0
Maximum271200
Zeros1672
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:47.297426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q319
95-th percentile82
Maximum271200
Range271200
Interquartile range (IQR)16

Descriptive statistics

Standard deviation3262.1342
Coefficient of variation (CV)33.847633
Kurtosis5444.9368
Mean96.377024
Median Absolute Deviation (MAD)8
Skewness70.787265
Sum946326
Variance10641519
MonotonicityNot monotonic
2023-12-12T21:19:47.510560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1672
 
16.7%
4 433
 
4.3%
1 419
 
4.2%
6 384
 
3.8%
7 381
 
3.8%
3 372
 
3.7%
5 353
 
3.5%
2 349
 
3.5%
8 334
 
3.3%
10 331
 
3.3%
Other values (316) 4791
47.9%
ValueCountFrequency (%)
0 1672
16.7%
1 419
 
4.2%
2 349
 
3.5%
3 372
 
3.7%
4 433
 
4.3%
5 353
 
3.5%
6 384
 
3.8%
7 381
 
3.8%
8 334
 
3.3%
9 329
 
3.3%
ValueCountFrequency (%)
271200 1
< 0.1%
159625 1
< 0.1%
34773 1
< 0.1%
33980 1
< 0.1%
23967 1
< 0.1%
22486 1
< 0.1%
21281 1
< 0.1%
19920 1
< 0.1%
16045 1
< 0.1%
14233 1
< 0.1%

20년 3월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct306
Distinct (%)3.1%
Missing175
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean93.432061
Minimum0
Maximum286600
Zeros1701
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:47.717868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q320
95-th percentile75.8
Maximum286600
Range286600
Interquartile range (IQR)17

Descriptive statistics

Standard deviation3234.7661
Coefficient of variation (CV)34.621585
Kurtosis6490.3048
Mean93.432061
Median Absolute Deviation (MAD)8
Skewness76.888671
Sum917970
Variance10463711
MonotonicityNot monotonic
2023-12-12T21:19:47.921594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1701
 
17.0%
5 388
 
3.9%
3 366
 
3.7%
7 364
 
3.6%
8 358
 
3.6%
1 356
 
3.6%
6 352
 
3.5%
4 345
 
3.5%
10 330
 
3.3%
2 321
 
3.2%
Other values (296) 4944
49.4%
ValueCountFrequency (%)
0 1701
17.0%
1 356
 
3.6%
2 321
 
3.2%
3 366
 
3.7%
4 345
 
3.5%
5 388
 
3.9%
6 352
 
3.5%
7 364
 
3.6%
8 358
 
3.6%
9 312
 
3.1%
ValueCountFrequency (%)
286600 1
< 0.1%
124376 1
< 0.1%
33178 1
< 0.1%
33040 1
< 0.1%
22709 1
< 0.1%
22107 1
< 0.1%
21460 1
< 0.1%
20222 1
< 0.1%
14386 1
< 0.1%
13576 1
< 0.1%

20년 4월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)3.1%
Missing170
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean87.427365
Minimum0
Maximum259000
Zeros1716
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:48.110473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q319
95-th percentile73
Maximum259000
Range259000
Interquartile range (IQR)17

Descriptive statistics

Standard deviation2961.1412
Coefficient of variation (CV)33.86973
Kurtosis6233.4225
Mean87.427365
Median Absolute Deviation (MAD)8
Skewness75.328625
Sum859411
Variance8768357.4
MonotonicityNot monotonic
2023-12-12T21:19:48.326452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1716
 
17.2%
6 426
 
4.3%
5 419
 
4.2%
1 408
 
4.1%
2 396
 
4.0%
4 388
 
3.9%
3 382
 
3.8%
7 364
 
3.6%
10 341
 
3.4%
8 331
 
3.3%
Other values (292) 4659
46.6%
ValueCountFrequency (%)
0 1716
17.2%
1 408
 
4.1%
2 396
 
4.0%
3 382
 
3.8%
4 388
 
3.9%
5 419
 
4.2%
6 426
 
4.3%
7 364
 
3.6%
8 331
 
3.3%
9 283
 
2.8%
ValueCountFrequency (%)
259000 1
< 0.1%
121019 1
< 0.1%
29080 1
< 0.1%
28684 1
< 0.1%
22903 1
< 0.1%
21075 1
< 0.1%
20476 1
< 0.1%
20400 1
< 0.1%
13400 1
< 0.1%
13092 1
< 0.1%

20년 5월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct306
Distinct (%)3.1%
Missing180
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean91.717413
Minimum0
Maximum287700
Zeros1625
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:48.526345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile80
Maximum287700
Range287700
Interquartile range (IQR)18

Descriptive statistics

Standard deviation3177.6154
Coefficient of variation (CV)34.645715
Kurtosis6971.6051
Mean91.717413
Median Absolute Deviation (MAD)8
Skewness79.805389
Sum900665
Variance10097239
MonotonicityNot monotonic
2023-12-12T21:19:48.715191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1625
 
16.2%
1 406
 
4.1%
7 359
 
3.6%
3 350
 
3.5%
2 349
 
3.5%
5 348
 
3.5%
4 341
 
3.4%
6 330
 
3.3%
8 321
 
3.2%
12 312
 
3.1%
Other values (296) 5079
50.8%
ValueCountFrequency (%)
0 1625
16.2%
1 406
 
4.1%
2 349
 
3.5%
3 350
 
3.5%
4 341
 
3.4%
5 348
 
3.5%
6 330
 
3.3%
7 359
 
3.6%
8 321
 
3.2%
9 302
 
3.0%
ValueCountFrequency (%)
287700 1
< 0.1%
107437 1
< 0.1%
30719 1
< 0.1%
30690 1
< 0.1%
24609 1
< 0.1%
21853 1
< 0.1%
20426 1
< 0.1%
19950 1
< 0.1%
15100 1
< 0.1%
13957 1
< 0.1%

20년 6월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct313
Distinct (%)3.2%
Missing173
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean89.072352
Minimum0
Maximum293700
Zeros1544
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:49.273012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q321
95-th percentile80
Maximum293700
Range293700
Interquartile range (IQR)18

Descriptive statistics

Standard deviation3162.9425
Coefficient of variation (CV)35.509813
Kurtosis7620.1141
Mean89.072352
Median Absolute Deviation (MAD)8
Skewness83.883215
Sum875314
Variance10004205
MonotonicityNot monotonic
2023-12-12T21:19:49.450415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1544
 
15.4%
1 415
 
4.2%
4 363
 
3.6%
5 353
 
3.5%
6 352
 
3.5%
3 346
 
3.5%
7 340
 
3.4%
2 331
 
3.3%
9 322
 
3.2%
8 319
 
3.2%
Other values (303) 5142
51.4%
ValueCountFrequency (%)
0 1544
15.4%
1 415
 
4.2%
2 331
 
3.3%
3 346
 
3.5%
4 363
 
3.6%
5 353
 
3.5%
6 352
 
3.5%
7 340
 
3.4%
8 319
 
3.2%
9 322
 
3.2%
ValueCountFrequency (%)
293700 1
< 0.1%
87223 1
< 0.1%
36334 1
< 0.1%
25315 1
< 0.1%
21330 1
< 0.1%
21150 1
< 0.1%
20864 1
< 0.1%
13657 1
< 0.1%
13565 1
< 0.1%
12909 1
< 0.1%

20년 7월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)3.3%
Missing164
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean94.736173
Minimum0
Maximum297700
Zeros1468
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:49.657246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile91
Maximum297700
Range297700
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3162.5432
Coefficient of variation (CV)33.382636
Kurtosis7990.6521
Mean94.736173
Median Absolute Deviation (MAD)9
Skewness85.878223
Sum931825
Variance10001679
MonotonicityNot monotonic
2023-12-12T21:19:49.828336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1468
 
14.7%
1 369
 
3.7%
7 333
 
3.3%
2 332
 
3.3%
4 328
 
3.3%
10 322
 
3.2%
5 321
 
3.2%
6 321
 
3.2%
3 312
 
3.1%
9 310
 
3.1%
Other values (314) 5420
54.2%
ValueCountFrequency (%)
0 1468
14.7%
1 369
 
3.7%
2 332
 
3.3%
3 312
 
3.1%
4 328
 
3.3%
5 321
 
3.2%
6 321
 
3.2%
7 333
 
3.3%
8 306
 
3.1%
9 310
 
3.1%
ValueCountFrequency (%)
297700 1
< 0.1%
56190 1
< 0.1%
36260 1
< 0.1%
36050 1
< 0.1%
27861 1
< 0.1%
25833 1
< 0.1%
23473 1
< 0.1%
21330 1
< 0.1%
21139 1
< 0.1%
15696 1
< 0.1%

20년 8월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)3.4%
Missing161
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean95.536843
Minimum0
Maximum256700
Zeros1525
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:50.029575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322
95-th percentile89
Maximum256700
Range256700
Interquartile range (IQR)19

Descriptive statistics

Standard deviation3018.0762
Coefficient of variation (CV)31.590705
Kurtosis5700.8477
Mean95.536843
Median Absolute Deviation (MAD)9
Skewness71.781596
Sum939987
Variance9108784.2
MonotonicityNot monotonic
2023-12-12T21:19:50.204912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1525
 
15.2%
1 368
 
3.7%
5 366
 
3.7%
7 347
 
3.5%
6 339
 
3.4%
4 337
 
3.4%
10 335
 
3.4%
9 334
 
3.3%
8 323
 
3.2%
2 318
 
3.2%
Other values (323) 5247
52.5%
ValueCountFrequency (%)
0 1525
15.2%
1 368
 
3.7%
2 318
 
3.2%
3 291
 
2.9%
4 337
 
3.4%
5 366
 
3.7%
6 339
 
3.4%
7 347
 
3.5%
8 323
 
3.2%
9 334
 
3.3%
ValueCountFrequency (%)
256700 1
< 0.1%
132994 1
< 0.1%
40110 1
< 0.1%
36060 1
< 0.1%
24908 1
< 0.1%
21430 1
< 0.1%
21308 1
< 0.1%
19774 1
< 0.1%
16655 1
< 0.1%
14596 1
< 0.1%

20년 9월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)3.4%
Missing156
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean95.224299
Minimum0
Maximum267600
Zeros1503
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:50.397081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q323
95-th percentile91.85
Maximum267600
Range267600
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3026.0383
Coefficient of variation (CV)31.778005
Kurtosis6409.6288
Mean95.224299
Median Absolute Deviation (MAD)9
Skewness76.050813
Sum937388
Variance9156907.7
MonotonicityNot monotonic
2023-12-12T21:19:50.592796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1503
 
15.0%
1 378
 
3.8%
5 339
 
3.4%
6 332
 
3.3%
4 329
 
3.3%
10 325
 
3.2%
8 310
 
3.1%
3 307
 
3.1%
9 302
 
3.0%
7 301
 
3.0%
Other values (329) 5418
54.2%
ValueCountFrequency (%)
0 1503
15.0%
1 378
 
3.8%
2 294
 
2.9%
3 307
 
3.1%
4 329
 
3.3%
5 339
 
3.4%
6 332
 
3.3%
7 301
 
3.0%
8 310
 
3.1%
9 302
 
3.0%
ValueCountFrequency (%)
267600 1
< 0.1%
113339 1
< 0.1%
36650 1
< 0.1%
32192 1
< 0.1%
27657 1
< 0.1%
21750 1
< 0.1%
21375 1
< 0.1%
19100 1
< 0.1%
15446 1
< 0.1%
15270 1
< 0.1%

20년 10월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct347
Distinct (%)3.5%
Missing153
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean98.79933
Minimum0
Maximum280200
Zeros1494
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:50.799106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q324
95-th percentile96
Maximum280200
Range280200
Interquartile range (IQR)20

Descriptive statistics

Standard deviation3129.6298
Coefficient of variation (CV)31.67663
Kurtosis6675.5637
Mean98.79933
Median Absolute Deviation (MAD)10
Skewness77.671468
Sum972877
Variance9794582.5
MonotonicityNot monotonic
2023-12-12T21:19:50.993973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1494
 
14.9%
1 357
 
3.6%
5 328
 
3.3%
8 319
 
3.2%
7 313
 
3.1%
6 309
 
3.1%
10 305
 
3.0%
4 293
 
2.9%
9 282
 
2.8%
2 279
 
2.8%
Other values (337) 5568
55.7%
ValueCountFrequency (%)
0 1494
14.9%
1 357
 
3.6%
2 279
 
2.8%
3 271
 
2.7%
4 293
 
2.9%
5 328
 
3.3%
6 309
 
3.1%
7 313
 
3.1%
8 319
 
3.2%
9 282
 
2.8%
ValueCountFrequency (%)
280200 1
< 0.1%
109920 1
< 0.1%
33080 1
< 0.1%
29065 1
< 0.1%
26400 1
< 0.1%
23769 1
< 0.1%
23388 1
< 0.1%
22450 1
< 0.1%
21558 1
< 0.1%
15980 1
< 0.1%

20년 11월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)3.3%
Missing148
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean88.343484
Minimum0
Maximum230300
Zeros1482
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:51.182025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322.25
95-th percentile84.45
Maximum230300
Range230300
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation2659.8608
Coefficient of variation (CV)30.108172
Kurtosis5988.1128
Mean88.343484
Median Absolute Deviation (MAD)9
Skewness73.366793
Sum870360
Variance7074859.3
MonotonicityNot monotonic
2023-12-12T21:19:51.351877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1482
 
14.8%
1 391
 
3.9%
5 349
 
3.5%
8 334
 
3.3%
10 330
 
3.3%
4 329
 
3.3%
7 321
 
3.2%
2 310
 
3.1%
6 296
 
3.0%
3 291
 
2.9%
Other values (314) 5419
54.2%
ValueCountFrequency (%)
0 1482
14.8%
1 391
 
3.9%
2 310
 
3.1%
3 291
 
2.9%
4 329
 
3.3%
5 349
 
3.5%
6 296
 
3.0%
7 321
 
3.2%
8 334
 
3.3%
9 279
 
2.8%
ValueCountFrequency (%)
230300 1
< 0.1%
109046 1
< 0.1%
34043 1
< 0.1%
26780 1
< 0.1%
20940 1
< 0.1%
20065 1
< 0.1%
18236 1
< 0.1%
18153 1
< 0.1%
16815 1
< 0.1%
14925 1
< 0.1%

20년 12월
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)3.4%
Missing144
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean93.421774
Minimum0
Maximum250600
Zeros1520
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:19:51.562373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q322
95-th percentile89
Maximum250600
Range250600
Interquartile range (IQR)19

Descriptive statistics

Standard deviation2893.5996
Coefficient of variation (CV)30.973504
Kurtosis6003.3196
Mean93.421774
Median Absolute Deviation (MAD)9
Skewness73.574368
Sum920765
Variance8372918.8
MonotonicityNot monotonic
2023-12-12T21:19:51.756508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1520
 
15.2%
4 381
 
3.8%
1 363
 
3.6%
8 352
 
3.5%
5 350
 
3.5%
7 339
 
3.4%
3 326
 
3.3%
6 325
 
3.2%
2 315
 
3.1%
10 307
 
3.1%
Other values (327) 5278
52.8%
ValueCountFrequency (%)
0 1520
15.2%
1 363
 
3.6%
2 315
 
3.1%
3 326
 
3.3%
4 381
 
3.8%
5 350
 
3.5%
6 325
 
3.2%
7 339
 
3.4%
8 352
 
3.5%
9 301
 
3.0%
ValueCountFrequency (%)
250600 1
< 0.1%
119889 1
< 0.1%
32966 1
< 0.1%
28731 1
< 0.1%
27153 1
< 0.1%
22320 1
< 0.1%
21351 1
< 0.1%
20640 1
< 0.1%
18943 1
< 0.1%
15007 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
73787379전라북도 군산시 영동 22-1000898987000724220000020000
4547245473전라북도 군산시 옥봉리 1309-121171081111912151391113714111014131715172117
4733047331전라북도 군산시 운회리 631-28000000000000000000000000
2146121462전라북도 군산시 수송동 924217802005021550191602078020140212002099022670218202082020310203401992021460204002185321330213302143021750224502094020640
1864218643전라북도 군산시 수송동 63-10745707311671010910998871081012109654
4317343174전라북도 군산시 산월리 431-361038101343263400133330033
1820718208전라북도 군산시 수송동 755-4161614131814161717171617161417161516171518191817
1506715068전라북도 군산시 경암동 658-30544110000000001266575665
3765237653전라북도 군산시 옥산면 당쌍로 144156118111713111416911129891714191216112114
2628126282전라북도 군산시 나운동 792-1654555667766564434757754
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
3346033461전라북도 군산시 산북동 879-8262022202329333330252524212228243330313052333129
4108141082전라북도 군산시 서수리 1269-110677878911131317666798989111011
3562435625전라북도 군산시 상평리 715-389109101313131716918141516131719202113301821
3044930450전라북도 군산시 오식도동 603-9557457456880565756582149543528336955465253654654
1203512036전라북도 군산시 조촌동 745-6192018201922232527263028403837222025301726191017
2837428375전라북도 군산시 설림안3길 30252624522019211621202729232427222826303432353331
70437044전라북도 군산시 중2가동 1-4232631222024161827231822202011242225181919212023
2872628727전라북도 군산시 소룡동 1539-8333333456435554454443443
4706247063전라북도 군산시 통사리 3821483561315151213141516121515161616158182115
4510045101전라북도 군산시 선연리 268-478145812141412131522128881019201510252519