Overview

Dataset statistics

Number of variables36
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory157.8 KiB
Average record size in memory323.3 B

Variable types

Numeric33
Text1
Categorical2

Alerts

남자0~4세(MAN_FLOW_POP_CNT_0004G) has constant value ""Constant
여자0~4세(WMAN_FLOW_POP_CNT_0004G) has constant value ""Constant
여자40~44세(WMAN_FLOW_POP_CNT_4044G) is highly skewed (γ1 = 20.34316714)Skewed
여자45~49세(WMAN_FLOW_POP_CNT_4549G) is highly skewed (γ1 = 20.12726629)Skewed
남자5~9세(MAN_FLOW_POP_CNT_0509G) has 451 (90.2%) zerosZeros
남자10~14세(MAN_FLOW_POP_CNT_1014G) has 375 (75.0%) zerosZeros
남자15~19세(MAN_FLOW_POP_CNT_1519G) has 328 (65.6%) zerosZeros
남자20~24세(MAN_FLOW_POP_CNT_2024G) has 268 (53.6%) zerosZeros
남자25~29세(MAN_FLOW_POP_CNT_2529G) has 227 (45.4%) zerosZeros
남자30~34세(MAN_FLOW_POP_CNT_3034G) has 219 (43.8%) zerosZeros
남자35~39세(MAN_FLOW_POP_CNT_3539G) has 235 (47.0%) zerosZeros
남자40~44세(MAN_FLOW_POP_CNT_4044G) has 292 (58.4%) zerosZeros
남자45~49세(MAN_FLOW_POP_CNT_4549G) has 282 (56.4%) zerosZeros
남자50~54세(MAN_FLOW_POP_CNT_5054G) has 309 (61.8%) zerosZeros
남자55~59세(MAN_FLOW_POP_CNT_5559G) has 343 (68.6%) zerosZeros
남자60~64세(MAN_FLOW_POP_CNT_6064G) has 358 (71.6%) zerosZeros
남자65~69세(MAN_FLOW_POP_CNT_6569G) has 384 (76.8%) zerosZeros
남자70세이상(MAN_FLOW_POP_CNT_70GU) has 390 (78.0%) zerosZeros
여자5~9세(WMAN_FLOW_POP_CNT_0509G) has 437 (87.4%) zerosZeros
여자10~14세(WMAN_FLOW_POP_CNT_1014G) has 320 (64.0%) zerosZeros
여자15~19세(WMAN_FLOW_POP_CNT_1519G) has 168 (33.6%) zerosZeros
여자20~24세(WMAN_FLOW_POP_CNT_2024G) has 202 (40.4%) zerosZeros
여자25~29세(WMAN_FLOW_POP_CNT_2529G) has 204 (40.8%) zerosZeros
여자30~34세(WMAN_FLOW_POP_CNT_3034G) has 246 (49.2%) zerosZeros
여자35~39세(WMAN_FLOW_POP_CNT_3539G) has 231 (46.2%) zerosZeros
여자40~44세(WMAN_FLOW_POP_CNT_4044G) has 268 (53.6%) zerosZeros
여자45~49세(WMAN_FLOW_POP_CNT_4549G) has 301 (60.2%) zerosZeros
여자50~54세(WMAN_FLOW_POP_CNT_5054G) has 338 (67.6%) zerosZeros
여자55~59세(WMAN_FLOW_POP_CNT_5559G) has 330 (66.0%) zerosZeros
여자60~64세(WMAN_FLOW_POP_CNT_6064G) has 338 (67.6%) zerosZeros
여자65~69세(WMAN_FLOW_POP_CNT_6570G) has 383 (76.6%) zerosZeros
여자70세이상(WMAN_FLOW_POP_CNT_70GU) has 377 (75.4%) zerosZeros

Reproduction

Analysis started2023-12-10 14:59:30.342860
Analysis finished2023-12-10 14:59:30.827459
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월(STD_YM)
Real number (ℝ)

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201565.69
Minimum201508
Maximum201607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:30.926506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201508
5-th percentile201508
Q1201511
median201601
Q3201604
95-th percentile201607
Maximum201607
Range99
Interquartile range (IQR)93

Descriptive statistics

Standard deviation46.225469
Coefficient of variation (CV)0.00022933202
Kurtosis-1.8555665
Mean201565.69
Median Absolute Deviation (MAD)5
Skewness-0.38203419
Sum1.0078285 × 108
Variance2136.794
MonotonicityNot monotonic
2023-12-10T23:59:31.165740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
201605 53
10.6%
201604 50
10.0%
201508 50
10.0%
201601 49
9.8%
201511 44
8.8%
201603 40
8.0%
201509 39
7.8%
201602 38
7.6%
201606 37
7.4%
201510 35
7.0%
Other values (2) 65
13.0%
ValueCountFrequency (%)
201508 50
10.0%
201509 39
7.8%
201510 35
7.0%
201511 44
8.8%
201512 35
7.0%
201601 49
9.8%
201602 38
7.6%
201603 40
8.0%
201604 50
10.0%
201605 53
10.6%
ValueCountFrequency (%)
201607 30
6.0%
201606 37
7.4%
201605 53
10.6%
201604 50
10.0%
201603 40
8.0%
201602 38
7.6%
201601 49
9.8%
201512 35
7.0%
201511 44
8.8%
201510 35
7.0%

년월일(STD_YMD)
Real number (ℝ)

Distinct268
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156585
Minimum20150802
Maximum20160731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:31.447696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150802
5-th percentile20150816
Q120151102
median20160131
Q320160427
95-th percentile20160704
Maximum20160731
Range9929
Interquartile range (IQR)9325.25

Descriptive statistics

Standard deviation4622.1241
Coefficient of variation (CV)0.00022931087
Kurtosis-1.8555332
Mean20156585
Median Absolute Deviation (MAD)487
Skewness-0.3820525
Sum1.0078292 × 1010
Variance21364031
MonotonicityNot monotonic
2023-12-10T23:59:32.168247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160508 5
 
1.0%
20160628 5
 
1.0%
20160715 5
 
1.0%
20151019 5
 
1.0%
20160411 5
 
1.0%
20150805 5
 
1.0%
20160105 4
 
0.8%
20160201 4
 
0.8%
20160519 4
 
0.8%
20160209 4
 
0.8%
Other values (258) 454
90.8%
ValueCountFrequency (%)
20150802 2
 
0.4%
20150803 1
 
0.2%
20150804 2
 
0.4%
20150805 5
1.0%
20150806 1
 
0.2%
20150807 3
0.6%
20150808 1
 
0.2%
20150809 2
 
0.4%
20150810 2
 
0.4%
20150813 2
 
0.4%
ValueCountFrequency (%)
20160731 1
 
0.2%
20160725 1
 
0.2%
20160723 1
 
0.2%
20160722 2
 
0.4%
20160720 1
 
0.2%
20160719 1
 
0.2%
20160718 2
 
0.4%
20160716 1
 
0.2%
20160715 5
1.0%
20160714 1
 
0.2%

블록코드(BLOCK_CD)
Text

Distinct138
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T23:59:32.783932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)12.0%

Sample

1st row1*2*0*0*1*0*2*0*0*0*
2nd row1*2*0*9*3*0*3*0*0*0*
3rd row1*2*0*0*2*0*1*0*0*0*
4th row1*2*0*8*2*0*2*0*0*0*
5th row1*2*0*0*4*2*8*0*0*0*
ValueCountFrequency (%)
1*2*0*9*1*0*1*0*0*0 58
 
11.6%
1*2*0*7*3*0*1*0*0*0 27
 
5.4%
1*2*0*0*3*0*1*0*0*0 22
 
4.4%
1*2*0*7*2*0*1*0*0*0 22
 
4.4%
1*2*0*5*3*0*1*0*0*0 14
 
2.8%
1*2*0*0*2*0*1*0*0*0 13
 
2.6%
1*2*0*9*3*0*3*0*0*0 13
 
2.6%
1*2*0*8*1*0*8*0*0*0 13
 
2.6%
1*2*0*9*2*0*3*0*0*0 12
 
2.4%
1*2*0*7*1*0*5*0*0*0 11
 
2.2%
Other values (128) 295
59.0%
2023-12-10T23:59:33.600457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5000
50.0%
0 2504
25.0%
1 951
 
9.5%
2 717
 
7.2%
3 189
 
1.9%
9 158
 
1.6%
5 128
 
1.3%
7 120
 
1.2%
4 106
 
1.1%
8 87
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 5000
50.0%
Decimal Number 5000
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2504
50.1%
1 951
 
19.0%
2 717
 
14.3%
3 189
 
3.8%
9 158
 
3.2%
5 128
 
2.6%
7 120
 
2.4%
4 106
 
2.1%
8 87
 
1.7%
6 40
 
0.8%
Other Punctuation
ValueCountFrequency (%)
* 5000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 5000
50.0%
0 2504
25.0%
1 951
 
9.5%
2 717
 
7.2%
3 189
 
1.9%
9 158
 
1.6%
5 128
 
1.3%
7 120
 
1.2%
4 106
 
1.1%
8 87
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5000
50.0%
0 2504
25.0%
1 951
 
9.5%
2 717
 
7.2%
3 189
 
1.9%
9 158
 
1.6%
5 128
 
1.3%
7 120
 
1.2%
4 106
 
1.1%
8 87
 
0.9%

X좌표(X_COORD)
Real number (ℝ)

Distinct438
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean963854.59
Minimum961878.31
Maximum965956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:33.930688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum961878.31
5-th percentile962219.45
Q1963007.19
median963790.59
Q3964691.08
95-th percentile965611.14
Maximum965956
Range4077.6875
Interquartile range (IQR)1683.8906

Descriptive statistics

Standard deviation1079.5935
Coefficient of variation (CV)0.0011200792
Kurtosis-1.0820031
Mean963854.59
Median Absolute Deviation (MAD)882.53125
Skewness0.083541622
Sum4.8192729 × 108
Variance1165522.1
MonotonicityNot monotonic
2023-12-10T23:59:34.269701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
964626.0 4
 
0.8%
964428.3125 3
 
0.6%
965413.3125 3
 
0.6%
963346.3125 3
 
0.6%
963791.625 3
 
0.6%
965119.625 3
 
0.6%
962663.5 2
 
0.4%
962613.875 2
 
0.4%
964230.625 2
 
0.4%
963546.125 2
 
0.4%
Other values (428) 473
94.6%
ValueCountFrequency (%)
961878.3125 1
0.2%
961878.6875 1
0.2%
961879.1875 1
0.2%
961923.8125 1
0.2%
961926.1875 1
0.2%
961971.5 1
0.2%
961971.6875 1
0.2%
961973.625 2
0.4%
961976.1875 1
0.2%
962021.8125 2
0.4%
ValueCountFrequency (%)
965956.0 1
0.2%
965955.8125 2
0.4%
965955.625 1
0.2%
965955.1875 1
0.2%
965906.3125 1
0.2%
965857.8125 1
0.2%
965807.125 1
0.2%
965759.375 1
0.2%
965758.375 2
0.4%
965758.1875 1
0.2%

Y좌표(Y_COORD)
Real number (ℝ)

Distinct335
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1946130.1
Minimum1944531
Maximum1947506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:34.579515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1944531
5-th percentile1945098.9
Q11945705
median1946124.5
Q31946581.5
95-th percentile1947088.1
Maximum1947506
Range2975
Interquartile range (IQR)876.5

Descriptive statistics

Standard deviation599.45545
Coefficient of variation (CV)0.00030802435
Kurtosis-0.67831361
Mean1946130.1
Median Absolute Deviation (MAD)454
Skewness-0.11873248
Sum9.7306504 × 108
Variance359346.84
MonotonicityNot monotonic
2023-12-10T23:59:34.897414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1945454 5
 
1.0%
1946323 5
 
1.0%
1946277 4
 
0.8%
1945603 4
 
0.8%
1946014 4
 
0.8%
1945710 4
 
0.8%
1946784 4
 
0.8%
1946167 4
 
0.8%
1945197 3
 
0.6%
1945146 3
 
0.6%
Other values (325) 460
92.0%
ValueCountFrequency (%)
1944531 1
0.2%
1944634 1
0.2%
1944736 1
0.2%
1944838 2
0.4%
1944890 2
0.4%
1944891 1
0.2%
1944941 2
0.4%
1944992 1
0.2%
1944993 2
0.4%
1945043 2
0.4%
ValueCountFrequency (%)
1947506 1
0.2%
1947452 1
0.2%
1947353 1
0.2%
1947299 1
0.2%
1947297 2
0.4%
1947246 1
0.2%
1947244 1
0.2%
1947243 1
0.2%
1947206 1
0.2%
1947153 1
0.2%

유입지코드(INFLOW_CD)
Real number (ℝ)

Distinct211
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37612.774
Minimum11110
Maximum50130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:35.194638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11350
Q129200
median41590
Q345770
95-th percentile48270
Maximum50130
Range39020
Interquartile range (IQR)16570

Descriptive statistics

Standard deviation11537.958
Coefficient of variation (CV)0.30675637
Kurtosis0.32741078
Mean37612.774
Median Absolute Deviation (MAD)5230
Skewness-1.237944
Sum18806387
Variance1.3312448 × 108
MonotonicityNot monotonic
2023-12-10T23:59:35.526291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41197 7
 
1.4%
45180 6
 
1.2%
11680 6
 
1.2%
41430 6
 
1.2%
11305 6
 
1.2%
41465 5
 
1.0%
47820 5
 
1.0%
41133 5
 
1.0%
11380 5
 
1.0%
26710 5
 
1.0%
Other values (201) 444
88.8%
ValueCountFrequency (%)
11110 2
 
0.4%
11140 2
 
0.4%
11170 1
 
0.2%
11200 2
 
0.4%
11215 2
 
0.4%
11230 2
 
0.4%
11260 3
0.6%
11290 1
 
0.2%
11305 6
1.2%
11320 2
 
0.4%
ValueCountFrequency (%)
50130 4
0.8%
48890 2
0.4%
48880 1
 
0.2%
48870 2
0.4%
48860 1
 
0.2%
48850 2
0.4%
48840 1
 
0.2%
48740 1
 
0.2%
48730 1
 
0.2%
48720 1
 
0.2%

남자0~4세(MAN_FLOW_POP_CNT_0004G)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 500
100.0%

Length

2023-12-10T23:59:35.821403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:36.001134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

남자5~9세(MAN_FLOW_POP_CNT_0509G)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00278
Minimum0
Maximum0.19
Zeros451
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:36.177877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum0.19
Range0.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.014130497
Coefficient of variation (CV)5.0829125
Kurtosis89.140979
Mean0.00278
Median Absolute Deviation (MAD)0
Skewness8.5912698
Sum1.39
Variance0.00019967094
MonotonicityNot monotonic
2023-12-10T23:59:36.420187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 451
90.2%
0.01 30
 
6.0%
0.03 4
 
0.8%
0.02 4
 
0.8%
0.05 3
 
0.6%
0.04 2
 
0.4%
0.06 2
 
0.4%
0.1 1
 
0.2%
0.19 1
 
0.2%
0.13 1
 
0.2%
ValueCountFrequency (%)
0.0 451
90.2%
0.01 30
 
6.0%
0.02 4
 
0.8%
0.03 4
 
0.8%
0.04 2
 
0.4%
0.05 3
 
0.6%
0.06 2
 
0.4%
0.1 1
 
0.2%
0.12 1
 
0.2%
0.13 1
 
0.2%
ValueCountFrequency (%)
0.19 1
 
0.2%
0.13 1
 
0.2%
0.12 1
 
0.2%
0.1 1
 
0.2%
0.06 2
 
0.4%
0.05 3
 
0.6%
0.04 2
 
0.4%
0.03 4
 
0.8%
0.02 4
 
0.8%
0.01 30
6.0%

남자10~14세(MAN_FLOW_POP_CNT_1014G)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00988
Minimum0
Maximum0.6
Zeros375
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:36.669982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0025
95-th percentile0.04
Maximum0.6
Range0.6
Interquartile range (IQR)0.0025

Descriptive statistics

Standard deviation0.038032599
Coefficient of variation (CV)3.8494533
Kurtosis125.7909
Mean0.00988
Median Absolute Deviation (MAD)0
Skewness9.6171932
Sum4.94
Variance0.0014464786
MonotonicityNot monotonic
2023-12-10T23:59:36.899780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 375
75.0%
0.01 49
 
9.8%
0.02 28
 
5.6%
0.04 13
 
2.6%
0.03 12
 
2.4%
0.05 6
 
1.2%
0.06 5
 
1.0%
0.22 2
 
0.4%
0.1 2
 
0.4%
0.19 1
 
0.2%
Other values (7) 7
 
1.4%
ValueCountFrequency (%)
0.0 375
75.0%
0.01 49
 
9.8%
0.02 28
 
5.6%
0.03 12
 
2.4%
0.04 13
 
2.6%
0.05 6
 
1.2%
0.06 5
 
1.0%
0.1 2
 
0.4%
0.11 1
 
0.2%
0.12 1
 
0.2%
ValueCountFrequency (%)
0.6 1
0.2%
0.27 1
0.2%
0.22 2
0.4%
0.19 1
0.2%
0.18 1
0.2%
0.16 1
0.2%
0.14 1
0.2%
0.12 1
0.2%
0.11 1
0.2%
0.1 2
0.4%

남자15~19세(MAN_FLOW_POP_CNT_1519G)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02148
Minimum0
Maximum2.08
Zeros328
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:37.170459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.05
Maximum2.08
Range2.08
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.12977014
Coefficient of variation (CV)6.0414406
Kurtosis160.33298
Mean0.02148
Median Absolute Deviation (MAD)0
Skewness11.874692
Sum10.74
Variance0.01684029
MonotonicityNot monotonic
2023-12-10T23:59:37.426606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 328
65.6%
0.01 77
 
15.4%
0.02 32
 
6.4%
0.03 30
 
6.0%
0.04 7
 
1.4%
0.06 5
 
1.0%
0.05 4
 
0.8%
0.09 3
 
0.6%
0.14 2
 
0.4%
0.98 1
 
0.2%
Other values (11) 11
 
2.2%
ValueCountFrequency (%)
0.0 328
65.6%
0.01 77
 
15.4%
0.02 32
 
6.4%
0.03 30
 
6.0%
0.04 7
 
1.4%
0.05 4
 
0.8%
0.06 5
 
1.0%
0.07 1
 
0.2%
0.09 3
 
0.6%
0.11 1
 
0.2%
ValueCountFrequency (%)
2.08 1
0.2%
1.39 1
0.2%
0.98 1
0.2%
0.85 1
0.2%
0.47 1
0.2%
0.34 1
0.2%
0.3 1
0.2%
0.26 1
0.2%
0.14 2
0.4%
0.13 1
0.2%

남자20~24세(MAN_FLOW_POP_CNT_2024G)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03704
Minimum0
Maximum3.29
Zeros268
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:37.799631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.09
Maximum3.29
Range3.29
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.21473859
Coefficient of variation (CV)5.7974782
Kurtosis139.88658
Mean0.03704
Median Absolute Deviation (MAD)0
Skewness11.065337
Sum18.52
Variance0.046112664
MonotonicityNot monotonic
2023-12-10T23:59:38.114309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 268
53.6%
0.01 97
 
19.4%
0.02 55
 
11.0%
0.03 17
 
3.4%
0.05 10
 
2.0%
0.04 10
 
2.0%
0.06 8
 
1.6%
0.07 7
 
1.4%
0.1 5
 
1.0%
0.09 4
 
0.8%
Other values (15) 19
 
3.8%
ValueCountFrequency (%)
0.0 268
53.6%
0.01 97
 
19.4%
0.02 55
 
11.0%
0.03 17
 
3.4%
0.04 10
 
2.0%
0.05 10
 
2.0%
0.06 8
 
1.6%
0.07 7
 
1.4%
0.08 2
 
0.4%
0.09 4
 
0.8%
ValueCountFrequency (%)
3.29 1
0.2%
2.33 1
0.2%
1.48 1
0.2%
1.31 1
0.2%
1.3 1
0.2%
0.91 1
0.2%
0.59 1
0.2%
0.36 1
0.2%
0.34 1
0.2%
0.23 1
0.2%

남자25~29세(MAN_FLOW_POP_CNT_2529G)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05098
Minimum0
Maximum2.68
Zeros227
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:38.520486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.131
Maximum2.68
Range2.68
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.22767105
Coefficient of variation (CV)4.4658896
Kurtosis87.09609
Mean0.05098
Median Absolute Deviation (MAD)0.01
Skewness8.8028407
Sum25.49
Variance0.051834108
MonotonicityNot monotonic
2023-12-10T23:59:38.807316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 227
45.4%
0.01 113
22.6%
0.02 40
 
8.0%
0.03 19
 
3.8%
0.04 14
 
2.8%
0.05 14
 
2.8%
0.08 11
 
2.2%
0.06 10
 
2.0%
0.07 7
 
1.4%
0.09 5
 
1.0%
Other values (23) 40
 
8.0%
ValueCountFrequency (%)
0.0 227
45.4%
0.01 113
22.6%
0.02 40
 
8.0%
0.03 19
 
3.8%
0.04 14
 
2.8%
0.05 14
 
2.8%
0.06 10
 
2.0%
0.07 7
 
1.4%
0.08 11
 
2.2%
0.09 5
 
1.0%
ValueCountFrequency (%)
2.68 1
0.2%
2.6 1
0.2%
2.22 1
0.2%
1.36 1
0.2%
1.13 1
0.2%
1.09 1
0.2%
1.03 1
0.2%
0.97 1
0.2%
0.51 1
0.2%
0.5 2
0.4%

남자30~34세(MAN_FLOW_POP_CNT_3034G)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08366
Minimum0
Maximum11.98
Zeros219
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:39.268468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.211
Maximum11.98
Range11.98
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.6480682
Coefficient of variation (CV)7.7464523
Kurtosis267.27789
Mean0.08366
Median Absolute Deviation (MAD)0.01
Skewness15.832709
Sum41.83
Variance0.41999239
MonotonicityNot monotonic
2023-12-10T23:59:39.678767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 219
43.8%
0.01 91
18.2%
0.02 41
 
8.2%
0.03 34
 
6.8%
0.05 18
 
3.6%
0.04 12
 
2.4%
0.06 11
 
2.2%
0.07 9
 
1.8%
0.11 6
 
1.2%
0.12 6
 
1.2%
Other values (32) 53
 
10.6%
ValueCountFrequency (%)
0.0 219
43.8%
0.01 91
18.2%
0.02 41
 
8.2%
0.03 34
 
6.8%
0.04 12
 
2.4%
0.05 18
 
3.6%
0.06 11
 
2.2%
0.07 9
 
1.8%
0.08 6
 
1.2%
0.09 4
 
0.8%
ValueCountFrequency (%)
11.98 1
0.2%
7.76 1
0.2%
1.29 1
0.2%
1.26 1
0.2%
1.12 1
0.2%
0.86 1
0.2%
0.84 1
0.2%
0.7 1
0.2%
0.55 1
0.2%
0.51 1
0.2%

남자35~39세(MAN_FLOW_POP_CNT_3539G)
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05218
Minimum0
Maximum3.53
Zeros235
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:40.017400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.1805
Maximum3.53
Range3.53
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.22690001
Coefficient of variation (CV)4.3484096
Kurtosis136.41573
Mean0.05218
Median Absolute Deviation (MAD)0.01
Skewness10.640519
Sum26.09
Variance0.051483615
MonotonicityNot monotonic
2023-12-10T23:59:40.361516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 235
47.0%
0.01 88
 
17.6%
0.02 35
 
7.0%
0.03 31
 
6.2%
0.04 20
 
4.0%
0.07 11
 
2.2%
0.05 11
 
2.2%
0.06 9
 
1.8%
0.09 6
 
1.2%
0.08 5
 
1.0%
Other values (28) 49
 
9.8%
ValueCountFrequency (%)
0.0 235
47.0%
0.01 88
 
17.6%
0.02 35
 
7.0%
0.03 31
 
6.2%
0.04 20
 
4.0%
0.05 11
 
2.2%
0.06 9
 
1.8%
0.07 11
 
2.2%
0.08 5
 
1.0%
0.09 6
 
1.2%
ValueCountFrequency (%)
3.53 1
0.2%
2.24 1
0.2%
1.65 1
0.2%
1.56 1
0.2%
1.05 1
0.2%
0.57 1
0.2%
0.54 2
0.4%
0.52 1
0.2%
0.49 1
0.2%
0.41 1
0.2%

남자40~44세(MAN_FLOW_POP_CNT_4044G)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03514
Minimum0
Maximum2.57
Zeros292
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:40.665262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.1
Maximum2.57
Range2.57
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.17110562
Coefficient of variation (CV)4.8692551
Kurtosis121.08716
Mean0.03514
Median Absolute Deviation (MAD)0
Skewness10.039915
Sum17.57
Variance0.029277135
MonotonicityNot monotonic
2023-12-10T23:59:40.937540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 292
58.4%
0.01 81
 
16.2%
0.02 39
 
7.8%
0.03 17
 
3.4%
0.04 13
 
2.6%
0.05 11
 
2.2%
0.09 5
 
1.0%
0.07 5
 
1.0%
0.08 5
 
1.0%
0.1 4
 
0.8%
Other values (19) 28
 
5.6%
ValueCountFrequency (%)
0.0 292
58.4%
0.01 81
 
16.2%
0.02 39
 
7.8%
0.03 17
 
3.4%
0.04 13
 
2.6%
0.05 11
 
2.2%
0.06 4
 
0.8%
0.07 5
 
1.0%
0.08 5
 
1.0%
0.09 5
 
1.0%
ValueCountFrequency (%)
2.57 1
0.2%
1.63 1
0.2%
1.26 1
0.2%
1.05 1
0.2%
0.97 1
0.2%
0.84 1
0.2%
0.54 1
0.2%
0.52 1
0.2%
0.47 1
0.2%
0.45 1
0.2%

남자45~49세(MAN_FLOW_POP_CNT_4549G)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05674
Minimum0
Maximum9.87
Zeros282
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:41.241718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.11
Maximum9.87
Range9.87
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.51320516
Coefficient of variation (CV)9.0448565
Kurtosis296.57538
Mean0.05674
Median Absolute Deviation (MAD)0
Skewness16.681308
Sum28.37
Variance0.26337953
MonotonicityNot monotonic
2023-12-10T23:59:41.515349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 282
56.4%
0.01 81
 
16.2%
0.02 34
 
6.8%
0.03 24
 
4.8%
0.04 15
 
3.0%
0.05 13
 
2.6%
0.07 12
 
2.4%
0.08 5
 
1.0%
0.06 3
 
0.6%
0.1 3
 
0.6%
Other values (22) 28
 
5.6%
ValueCountFrequency (%)
0.0 282
56.4%
0.01 81
 
16.2%
0.02 34
 
6.8%
0.03 24
 
4.8%
0.04 15
 
3.0%
0.05 13
 
2.6%
0.06 3
 
0.6%
0.07 12
 
2.4%
0.08 5
 
1.0%
0.09 2
 
0.4%
ValueCountFrequency (%)
9.87 1
0.2%
5.64 1
0.2%
0.81 1
0.2%
0.72 1
0.2%
0.71 1
0.2%
0.65 1
0.2%
0.64 1
0.2%
0.6 1
0.2%
0.28 1
0.2%
0.27 2
0.4%

남자50~54세(MAN_FLOW_POP_CNT_5054G)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.046
Minimum0
Maximum3.4
Zeros309
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:41.824238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0125
95-th percentile0.1
Maximum3.4
Range3.4
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.2570879
Coefficient of variation (CV)5.5888674
Kurtosis104.28578
Mean0.046
Median Absolute Deviation (MAD)0
Skewness9.731369
Sum23
Variance0.066094188
MonotonicityNot monotonic
2023-12-10T23:59:42.127189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 309
61.8%
0.01 66
 
13.2%
0.02 29
 
5.8%
0.04 19
 
3.8%
0.05 15
 
3.0%
0.06 10
 
2.0%
0.03 10
 
2.0%
0.08 6
 
1.2%
0.07 6
 
1.2%
0.09 4
 
0.8%
Other values (22) 26
 
5.2%
ValueCountFrequency (%)
0.0 309
61.8%
0.01 66
 
13.2%
0.02 29
 
5.8%
0.03 10
 
2.0%
0.04 19
 
3.8%
0.05 15
 
3.0%
0.06 10
 
2.0%
0.07 6
 
1.2%
0.08 6
 
1.2%
0.09 4
 
0.8%
ValueCountFrequency (%)
3.4 1
0.2%
2.81 1
0.2%
2.35 1
0.2%
1.97 1
0.2%
1.33 1
0.2%
1.08 1
0.2%
0.75 1
0.2%
0.6 1
0.2%
0.57 1
0.2%
0.42 1
0.2%

남자55~59세(MAN_FLOW_POP_CNT_5559G)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0227
Minimum0
Maximum1.01
Zeros343
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:42.422084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.1
Maximum1.01
Range1.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.08828419
Coefficient of variation (CV)3.8891714
Kurtosis51.25519
Mean0.0227
Median Absolute Deviation (MAD)0
Skewness6.5930953
Sum11.35
Variance0.0077940982
MonotonicityNot monotonic
2023-12-10T23:59:42.701648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 343
68.6%
0.01 65
 
13.0%
0.02 26
 
5.2%
0.03 15
 
3.0%
0.04 9
 
1.8%
0.05 5
 
1.0%
0.07 4
 
0.8%
0.06 4
 
0.8%
0.1 4
 
0.8%
0.08 3
 
0.6%
Other values (17) 22
 
4.4%
ValueCountFrequency (%)
0.0 343
68.6%
0.01 65
 
13.0%
0.02 26
 
5.2%
0.03 15
 
3.0%
0.04 9
 
1.8%
0.05 5
 
1.0%
0.06 4
 
0.8%
0.07 4
 
0.8%
0.08 3
 
0.6%
0.1 4
 
0.8%
ValueCountFrequency (%)
1.01 1
0.2%
0.64 1
0.2%
0.61 2
0.4%
0.54 1
0.2%
0.53 1
0.2%
0.52 1
0.2%
0.45 2
0.4%
0.34 1
0.2%
0.32 1
0.2%
0.24 1
0.2%

남자60~64세(MAN_FLOW_POP_CNT_6064G)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02032
Minimum0
Maximum1.82
Zeros358
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:43.046642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.06
Maximum1.82
Range1.82
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.12797599
Coefficient of variation (CV)6.2980309
Kurtosis142.23321
Mean0.02032
Median Absolute Deviation (MAD)0
Skewness11.574013
Sum10.16
Variance0.016377853
MonotonicityNot monotonic
2023-12-10T23:59:43.355719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 358
71.6%
0.01 56
 
11.2%
0.02 31
 
6.2%
0.03 9
 
1.8%
0.05 8
 
1.6%
0.06 8
 
1.6%
0.04 7
 
1.4%
0.07 5
 
1.0%
0.08 3
 
0.6%
0.09 3
 
0.6%
Other values (11) 12
 
2.4%
ValueCountFrequency (%)
0.0 358
71.6%
0.01 56
 
11.2%
0.02 31
 
6.2%
0.03 9
 
1.8%
0.04 7
 
1.4%
0.05 8
 
1.6%
0.06 8
 
1.6%
0.07 5
 
1.0%
0.08 3
 
0.6%
0.09 3
 
0.6%
ValueCountFrequency (%)
1.82 1
0.2%
1.53 1
0.2%
1.37 1
0.2%
0.69 1
0.2%
0.25 1
0.2%
0.19 1
0.2%
0.17 1
0.2%
0.15 2
0.4%
0.14 1
0.2%
0.12 1
0.2%

남자65~69세(MAN_FLOW_POP_CNT_6569G)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00816
Minimum0
Maximum0.33
Zeros384
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:43.741287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.04
Maximum0.33
Range0.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.028323468
Coefficient of variation (CV)3.4710132
Kurtosis62.465533
Mean0.00816
Median Absolute Deviation (MAD)0
Skewness6.9535684
Sum4.08
Variance0.00080221884
MonotonicityNot monotonic
2023-12-10T23:59:44.061579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 384
76.8%
0.01 59
 
11.8%
0.02 15
 
3.0%
0.04 10
 
2.0%
0.03 8
 
1.6%
0.05 6
 
1.2%
0.08 5
 
1.0%
0.1 3
 
0.6%
0.07 2
 
0.4%
0.11 2
 
0.4%
Other values (5) 6
 
1.2%
ValueCountFrequency (%)
0.0 384
76.8%
0.01 59
 
11.8%
0.02 15
 
3.0%
0.03 8
 
1.6%
0.04 10
 
2.0%
0.05 6
 
1.2%
0.06 1
 
0.2%
0.07 2
 
0.4%
0.08 5
 
1.0%
0.1 3
 
0.6%
ValueCountFrequency (%)
0.33 1
 
0.2%
0.3 1
 
0.2%
0.2 1
 
0.2%
0.15 2
 
0.4%
0.11 2
 
0.4%
0.1 3
0.6%
0.08 5
1.0%
0.07 2
 
0.4%
0.06 1
 
0.2%
0.05 6
1.2%

남자70세이상(MAN_FLOW_POP_CNT_70GU)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0116
Minimum0
Maximum1.02
Zeros390
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:44.449354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03
Maximum1.02
Range1.02
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.075301931
Coefficient of variation (CV)6.4915457
Kurtosis133.31884
Mean0.0116
Median Absolute Deviation (MAD)0
Skewness11.188995
Sum5.8
Variance0.0056703808
MonotonicityNot monotonic
2023-12-10T23:59:45.184650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 390
78.0%
0.01 59
 
11.8%
0.02 20
 
4.0%
0.03 11
 
2.2%
0.05 4
 
0.8%
0.04 4
 
0.8%
0.09 2
 
0.4%
0.08 1
 
0.2%
0.41 1
 
0.2%
0.1 1
 
0.2%
Other values (7) 7
 
1.4%
ValueCountFrequency (%)
0.0 390
78.0%
0.01 59
 
11.8%
0.02 20
 
4.0%
0.03 11
 
2.2%
0.04 4
 
0.8%
0.05 4
 
0.8%
0.06 1
 
0.2%
0.08 1
 
0.2%
0.09 2
 
0.4%
0.1 1
 
0.2%
ValueCountFrequency (%)
1.02 1
0.2%
0.93 1
0.2%
0.8 1
0.2%
0.41 1
0.2%
0.25 1
0.2%
0.18 1
0.2%
0.11 1
0.2%
0.1 1
0.2%
0.09 2
0.4%
0.08 1
0.2%

여자0~4세(WMAN_FLOW_POP_CNT_0004G)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 500
100.0%

Length

2023-12-10T23:59:45.462657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:45.708368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

여자5~9세(WMAN_FLOW_POP_CNT_0509G)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00458
Minimum0
Maximum0.66
Zeros437
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:45.903223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum0.66
Range0.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.034560272
Coefficient of variation (CV)7.545911
Kurtosis274.37387
Mean0.00458
Median Absolute Deviation (MAD)0
Skewness15.532694
Sum2.29
Variance0.0011944124
MonotonicityNot monotonic
2023-12-10T23:59:46.172741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 437
87.4%
0.01 37
 
7.4%
0.02 14
 
2.8%
0.04 4
 
0.8%
0.03 2
 
0.4%
0.08 1
 
0.2%
0.32 1
 
0.2%
0.09 1
 
0.2%
0.13 1
 
0.2%
0.14 1
 
0.2%
ValueCountFrequency (%)
0.0 437
87.4%
0.01 37
 
7.4%
0.02 14
 
2.8%
0.03 2
 
0.4%
0.04 4
 
0.8%
0.08 1
 
0.2%
0.09 1
 
0.2%
0.13 1
 
0.2%
0.14 1
 
0.2%
0.32 1
 
0.2%
ValueCountFrequency (%)
0.66 1
 
0.2%
0.32 1
 
0.2%
0.14 1
 
0.2%
0.13 1
 
0.2%
0.09 1
 
0.2%
0.08 1
 
0.2%
0.04 4
 
0.8%
0.03 2
 
0.4%
0.02 14
 
2.8%
0.01 37
7.4%

여자10~14세(WMAN_FLOW_POP_CNT_1014G)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0329
Minimum0
Maximum3.56
Zeros320
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:46.417581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.0705
Maximum3.56
Range3.56
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.20639134
Coefficient of variation (CV)6.273293
Kurtosis185.13539
Mean0.0329
Median Absolute Deviation (MAD)0
Skewness12.414533
Sum16.45
Variance0.042597385
MonotonicityNot monotonic
2023-12-10T23:59:46.689777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 320
64.0%
0.01 63
 
12.6%
0.02 37
 
7.4%
0.03 23
 
4.6%
0.04 17
 
3.4%
0.05 9
 
1.8%
0.08 6
 
1.2%
0.06 4
 
0.8%
0.09 3
 
0.6%
0.07 2
 
0.4%
Other values (14) 16
 
3.2%
ValueCountFrequency (%)
0.0 320
64.0%
0.01 63
 
12.6%
0.02 37
 
7.4%
0.03 23
 
4.6%
0.04 17
 
3.4%
0.05 9
 
1.8%
0.06 4
 
0.8%
0.07 2
 
0.4%
0.08 6
 
1.2%
0.09 3
 
0.6%
ValueCountFrequency (%)
3.56 1
0.2%
1.46 1
0.2%
1.37 1
0.2%
1.35 1
0.2%
1.34 1
0.2%
0.58 1
0.2%
0.57 1
0.2%
0.53 1
0.2%
0.52 1
0.2%
0.16 1
0.2%

여자15~19세(WMAN_FLOW_POP_CNT_1519G)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06262
Minimum0
Maximum6.34
Zeros168
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:46.988986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.04
95-th percentile0.23
Maximum6.34
Range6.34
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.3173098
Coefficient of variation (CV)5.0672277
Kurtosis312.13168
Mean0.06262
Median Absolute Deviation (MAD)0.01
Skewness16.408365
Sum31.31
Variance0.10068551
MonotonicityNot monotonic
2023-12-10T23:59:47.287193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 168
33.6%
0.01 90
18.0%
0.02 56
 
11.2%
0.03 46
 
9.2%
0.04 27
 
5.4%
0.05 20
 
4.0%
0.06 14
 
2.8%
0.07 8
 
1.6%
0.14 6
 
1.2%
0.11 6
 
1.2%
Other values (29) 59
 
11.8%
ValueCountFrequency (%)
0.0 168
33.6%
0.01 90
18.0%
0.02 56
 
11.2%
0.03 46
 
9.2%
0.04 27
 
5.4%
0.05 20
 
4.0%
0.06 14
 
2.8%
0.07 8
 
1.6%
0.08 6
 
1.2%
0.09 5
 
1.0%
ValueCountFrequency (%)
6.34 1
0.2%
2.12 1
0.2%
1.27 1
0.2%
1.08 1
0.2%
0.94 1
0.2%
0.92 1
0.2%
0.57 1
0.2%
0.36 2
0.4%
0.35 2
0.4%
0.34 2
0.4%

여자20~24세(WMAN_FLOW_POP_CNT_2024G)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07636
Minimum0
Maximum13.44
Zeros202
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:47.605170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.16
Maximum13.44
Range13.44
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.64804187
Coefficient of variation (CV)8.4866667
Kurtosis368.4077
Mean0.07636
Median Absolute Deviation (MAD)0.01
Skewness18.404853
Sum38.18
Variance0.41995827
MonotonicityNot monotonic
2023-12-10T23:59:47.953990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 202
40.4%
0.01 98
19.6%
0.02 43
 
8.6%
0.03 34
 
6.8%
0.05 19
 
3.8%
0.04 19
 
3.8%
0.06 13
 
2.6%
0.07 12
 
2.4%
0.09 8
 
1.6%
0.08 7
 
1.4%
Other values (26) 45
 
9.0%
ValueCountFrequency (%)
0.0 202
40.4%
0.01 98
19.6%
0.02 43
 
8.6%
0.03 34
 
6.8%
0.04 19
 
3.8%
0.05 19
 
3.8%
0.06 13
 
2.6%
0.07 12
 
2.4%
0.08 7
 
1.4%
0.09 8
 
1.6%
ValueCountFrequency (%)
13.44 1
0.2%
4.38 1
0.2%
2.85 1
0.2%
0.99 1
0.2%
0.95 1
0.2%
0.75 1
0.2%
0.49 1
0.2%
0.36 1
0.2%
0.35 2
0.4%
0.34 1
0.2%

여자25~29세(WMAN_FLOW_POP_CNT_2529G)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05952
Minimum0
Maximum6.25
Zeros204
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:48.250906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.18
Maximum6.25
Range6.25
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.31523025
Coefficient of variation (CV)5.2962071
Kurtosis301.20816
Mean0.05952
Median Absolute Deviation (MAD)0.01
Skewness15.908664
Sum29.76
Variance0.09937011
MonotonicityNot monotonic
2023-12-10T23:59:48.552784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 204
40.8%
0.01 107
21.4%
0.02 48
 
9.6%
0.03 31
 
6.2%
0.05 13
 
2.6%
0.06 13
 
2.6%
0.04 13
 
2.6%
0.07 10
 
2.0%
0.08 8
 
1.6%
0.12 6
 
1.2%
Other values (30) 47
 
9.4%
ValueCountFrequency (%)
0.0 204
40.8%
0.01 107
21.4%
0.02 48
 
9.6%
0.03 31
 
6.2%
0.04 13
 
2.6%
0.05 13
 
2.6%
0.06 13
 
2.6%
0.07 10
 
2.0%
0.08 8
 
1.6%
0.09 6
 
1.2%
ValueCountFrequency (%)
6.25 1
0.2%
1.55 1
0.2%
1.43 1
0.2%
1.11 2
0.4%
1.04 1
0.2%
0.71 1
0.2%
0.66 1
0.2%
0.62 1
0.2%
0.59 1
0.2%
0.57 1
0.2%

여자30~34세(WMAN_FLOW_POP_CNT_3034G)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03796
Minimum0
Maximum4.03
Zeros246
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:48.842489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.14
Maximum4.03
Range4.03
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.20060589
Coefficient of variation (CV)5.2846652
Kurtosis318.46727
Mean0.03796
Median Absolute Deviation (MAD)0.01
Skewness16.570226
Sum18.98
Variance0.040242724
MonotonicityNot monotonic
2023-12-10T23:59:49.128668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 246
49.2%
0.01 86
 
17.2%
0.02 46
 
9.2%
0.03 25
 
5.0%
0.04 22
 
4.4%
0.05 14
 
2.8%
0.07 11
 
2.2%
0.08 7
 
1.4%
0.11 5
 
1.0%
0.06 5
 
1.0%
Other values (23) 33
 
6.6%
ValueCountFrequency (%)
0.0 246
49.2%
0.01 86
 
17.2%
0.02 46
 
9.2%
0.03 25
 
5.0%
0.04 22
 
4.4%
0.05 14
 
2.8%
0.06 5
 
1.0%
0.07 11
 
2.2%
0.08 7
 
1.4%
0.09 2
 
0.4%
ValueCountFrequency (%)
4.03 1
0.2%
1.19 1
0.2%
0.86 1
0.2%
0.84 1
0.2%
0.51 1
0.2%
0.36 1
0.2%
0.34 1
0.2%
0.32 1
0.2%
0.3 1
0.2%
0.26 1
0.2%

여자35~39세(WMAN_FLOW_POP_CNT_3539G)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05714
Minimum0
Maximum7.46
Zeros231
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:49.393698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.13
Maximum7.46
Range7.46
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.42695175
Coefficient of variation (CV)7.4720292
Kurtosis235.41887
Mean0.05714
Median Absolute Deviation (MAD)0.01
Skewness14.856625
Sum28.57
Variance0.1822878
MonotonicityNot monotonic
2023-12-10T23:59:49.650059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 231
46.2%
0.01 110
22.0%
0.02 51
 
10.2%
0.03 22
 
4.4%
0.07 13
 
2.6%
0.04 12
 
2.4%
0.05 11
 
2.2%
0.06 8
 
1.6%
0.08 5
 
1.0%
0.18 5
 
1.0%
Other values (21) 32
 
6.4%
ValueCountFrequency (%)
0.0 231
46.2%
0.01 110
22.0%
0.02 51
 
10.2%
0.03 22
 
4.4%
0.04 12
 
2.4%
0.05 11
 
2.2%
0.06 8
 
1.6%
0.07 13
 
2.6%
0.08 5
 
1.0%
0.09 4
 
0.8%
ValueCountFrequency (%)
7.46 1
0.2%
5.53 1
0.2%
1.45 1
0.2%
1.05 1
0.2%
1.03 1
0.2%
0.64 1
0.2%
0.63 1
0.2%
0.36 1
0.2%
0.33 2
0.4%
0.29 1
0.2%

여자40~44세(WMAN_FLOW_POP_CNT_4044G)
Real number (ℝ)

SKEWED  ZEROS 

Distinct36
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05312
Minimum0
Maximum9.63
Zeros268
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:50.339750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.1505
Maximum9.63
Range9.63
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.44377442
Coefficient of variation (CV)8.3541871
Kurtosis437.22012
Mean0.05312
Median Absolute Deviation (MAD)0
Skewness20.343167
Sum26.56
Variance0.19693574
MonotonicityNot monotonic
2023-12-10T23:59:50.736182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 268
53.6%
0.01 76
 
15.2%
0.02 36
 
7.2%
0.03 24
 
4.8%
0.05 20
 
4.0%
0.04 16
 
3.2%
0.07 7
 
1.4%
0.06 5
 
1.0%
0.13 4
 
0.8%
0.14 4
 
0.8%
Other values (26) 40
 
8.0%
ValueCountFrequency (%)
0.0 268
53.6%
0.01 76
 
15.2%
0.02 36
 
7.2%
0.03 24
 
4.8%
0.04 16
 
3.2%
0.05 20
 
4.0%
0.06 5
 
1.0%
0.07 7
 
1.4%
0.08 4
 
0.8%
0.09 3
 
0.6%
ValueCountFrequency (%)
9.63 1
0.2%
1.52 1
0.2%
0.96 1
0.2%
0.81 1
0.2%
0.71 1
0.2%
0.67 2
0.4%
0.52 1
0.2%
0.34 1
0.2%
0.3 1
0.2%
0.28 2
0.4%

여자45~49세(WMAN_FLOW_POP_CNT_4549G)
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0228
Minimum0
Maximum3.48
Zeros301
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:51.171619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.08
Maximum3.48
Range3.48
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.16089479
Coefficient of variation (CV)7.0567891
Kurtosis429.97458
Mean0.0228
Median Absolute Deviation (MAD)0
Skewness20.127266
Sum11.4
Variance0.025887134
MonotonicityNot monotonic
2023-12-10T23:59:51.944241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 301
60.2%
0.01 69
 
13.8%
0.02 43
 
8.6%
0.03 21
 
4.2%
0.04 16
 
3.2%
0.05 11
 
2.2%
0.07 7
 
1.4%
0.1 6
 
1.2%
0.06 6
 
1.2%
0.09 4
 
0.8%
Other values (12) 16
 
3.2%
ValueCountFrequency (%)
0.0 301
60.2%
0.01 69
 
13.8%
0.02 43
 
8.6%
0.03 21
 
4.2%
0.04 16
 
3.2%
0.05 11
 
2.2%
0.06 6
 
1.2%
0.07 7
 
1.4%
0.08 3
 
0.6%
0.09 4
 
0.8%
ValueCountFrequency (%)
3.48 1
0.2%
0.69 1
0.2%
0.25 1
0.2%
0.23 1
0.2%
0.22 1
0.2%
0.21 1
0.2%
0.18 1
0.2%
0.14 1
0.2%
0.13 1
0.2%
0.12 1
0.2%

여자50~54세(WMAN_FLOW_POP_CNT_5054G)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02558
Minimum0
Maximum2.04
Zeros338
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:52.798199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.09
Maximum2.04
Range2.04
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.14369258
Coefficient of variation (CV)5.6173801
Kurtosis153.02119
Mean0.02558
Median Absolute Deviation (MAD)0
Skewness11.764412
Sum12.79
Variance0.020647559
MonotonicityNot monotonic
2023-12-10T23:59:53.500135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 338
67.6%
0.01 64
 
12.8%
0.02 31
 
6.2%
0.03 12
 
2.4%
0.04 10
 
2.0%
0.05 8
 
1.6%
0.08 5
 
1.0%
0.06 4
 
0.8%
0.17 3
 
0.6%
0.09 3
 
0.6%
Other values (17) 22
 
4.4%
ValueCountFrequency (%)
0.0 338
67.6%
0.01 64
 
12.8%
0.02 31
 
6.2%
0.03 12
 
2.4%
0.04 10
 
2.0%
0.05 8
 
1.6%
0.06 4
 
0.8%
0.07 2
 
0.4%
0.08 5
 
1.0%
0.09 3
 
0.6%
ValueCountFrequency (%)
2.04 1
0.2%
1.98 1
0.2%
1.16 1
0.2%
0.47 1
0.2%
0.37 1
0.2%
0.34 2
0.4%
0.31 1
0.2%
0.21 1
0.2%
0.19 2
0.4%
0.18 1
0.2%

여자55~59세(WMAN_FLOW_POP_CNT_5559G)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02222
Minimum0
Maximum1.21
Zeros330
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:53.895942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.09
Maximum1.21
Range1.21
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.098151613
Coefficient of variation (CV)4.4172643
Kurtosis92.08699
Mean0.02222
Median Absolute Deviation (MAD)0
Skewness8.8826004
Sum11.11
Variance0.0096337391
MonotonicityNot monotonic
2023-12-10T23:59:54.220662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 330
66.0%
0.01 77
 
15.4%
0.02 27
 
5.4%
0.03 17
 
3.4%
0.05 8
 
1.6%
0.04 6
 
1.2%
0.06 5
 
1.0%
0.09 3
 
0.6%
0.1 2
 
0.4%
0.07 2
 
0.4%
Other values (17) 23
 
4.6%
ValueCountFrequency (%)
0.0 330
66.0%
0.01 77
 
15.4%
0.02 27
 
5.4%
0.03 17
 
3.4%
0.04 6
 
1.2%
0.05 8
 
1.6%
0.06 5
 
1.0%
0.07 2
 
0.4%
0.08 1
 
0.2%
0.09 3
 
0.6%
ValueCountFrequency (%)
1.21 1
0.2%
1.18 1
0.2%
0.69 1
0.2%
0.68 1
0.2%
0.64 1
0.2%
0.36 1
0.2%
0.29 2
0.4%
0.24 1
0.2%
0.23 1
0.2%
0.21 2
0.4%

여자60~64세(WMAN_FLOW_POP_CNT_6064G)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01338
Minimum0
Maximum0.88
Zeros338
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:54.553248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.06
Maximum0.88
Range0.88
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.058883871
Coefficient of variation (CV)4.4008872
Kurtosis167.86699
Mean0.01338
Median Absolute Deviation (MAD)0
Skewness12.063071
Sum6.69
Variance0.0034673102
MonotonicityNot monotonic
2023-12-10T23:59:54.830870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 338
67.6%
0.01 75
 
15.0%
0.02 29
 
5.8%
0.03 16
 
3.2%
0.04 11
 
2.2%
0.05 5
 
1.0%
0.11 5
 
1.0%
0.07 5
 
1.0%
0.06 3
 
0.6%
0.09 3
 
0.6%
Other values (8) 10
 
2.0%
ValueCountFrequency (%)
0.0 338
67.6%
0.01 75
 
15.0%
0.02 29
 
5.8%
0.03 16
 
3.2%
0.04 11
 
2.2%
0.05 5
 
1.0%
0.06 3
 
0.6%
0.07 5
 
1.0%
0.08 1
 
0.2%
0.09 3
 
0.6%
ValueCountFrequency (%)
0.88 1
 
0.2%
0.83 1
 
0.2%
0.2 2
 
0.4%
0.15 2
 
0.4%
0.13 1
 
0.2%
0.12 1
 
0.2%
0.11 5
1.0%
0.1 1
 
0.2%
0.09 3
0.6%
0.08 1
 
0.2%

여자65~69세(WMAN_FLOW_POP_CNT_6570G)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01126
Minimum0
Maximum0.84
Zeros383
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:55.082780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0405
Maximum0.84
Range0.84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.058783701
Coefficient of variation (CV)5.2205773
Kurtosis144.71577
Mean0.01126
Median Absolute Deviation (MAD)0
Skewness11.24056
Sum5.63
Variance0.0034555234
MonotonicityNot monotonic
2023-12-10T23:59:55.367718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 383
76.6%
0.01 57
 
11.4%
0.02 24
 
4.8%
0.04 6
 
1.2%
0.03 5
 
1.0%
0.06 4
 
0.8%
0.05 3
 
0.6%
0.08 3
 
0.6%
0.07 2
 
0.4%
0.09 2
 
0.4%
Other values (10) 11
 
2.2%
ValueCountFrequency (%)
0.0 383
76.6%
0.01 57
 
11.4%
0.02 24
 
4.8%
0.03 5
 
1.0%
0.04 6
 
1.2%
0.05 3
 
0.6%
0.06 4
 
0.8%
0.07 2
 
0.4%
0.08 3
 
0.6%
0.09 2
 
0.4%
ValueCountFrequency (%)
0.84 1
0.2%
0.79 1
0.2%
0.41 1
0.2%
0.23 1
0.2%
0.19 1
0.2%
0.17 1
0.2%
0.14 1
0.2%
0.13 2
0.4%
0.11 1
0.2%
0.1 1
0.2%

여자70세이상(WMAN_FLOW_POP_CNT_70GU)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00982
Minimum0
Maximum0.33
Zeros377
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:55.647818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.05
Maximum0.33
Range0.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.033099225
Coefficient of variation (CV)3.3705932
Kurtosis40.871982
Mean0.00982
Median Absolute Deviation (MAD)0
Skewness5.8922246
Sum4.91
Variance0.0010955587
MonotonicityNot monotonic
2023-12-10T23:59:56.031070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 377
75.4%
0.01 55
 
11.0%
0.02 19
 
3.8%
0.03 15
 
3.0%
0.04 8
 
1.6%
0.05 4
 
0.8%
0.06 4
 
0.8%
0.09 3
 
0.6%
0.23 2
 
0.4%
0.12 2
 
0.4%
Other values (9) 11
 
2.2%
ValueCountFrequency (%)
0.0 377
75.4%
0.01 55
 
11.0%
0.02 19
 
3.8%
0.03 15
 
3.0%
0.04 8
 
1.6%
0.05 4
 
0.8%
0.06 4
 
0.8%
0.07 2
 
0.4%
0.08 1
 
0.2%
0.09 3
 
0.6%
ValueCountFrequency (%)
0.33 1
 
0.2%
0.27 1
 
0.2%
0.25 1
 
0.2%
0.23 2
0.4%
0.2 1
 
0.2%
0.15 1
 
0.2%
0.14 2
0.4%
0.12 2
0.4%
0.1 1
 
0.2%
0.09 3
0.6%

Sample

년월(STD_YM)년월일(STD_YMD)블록코드(BLOCK_CD)X좌표(X_COORD)Y좌표(Y_COORD)유입지코드(INFLOW_CD)남자0~4세(MAN_FLOW_POP_CNT_0004G)남자5~9세(MAN_FLOW_POP_CNT_0509G)남자10~14세(MAN_FLOW_POP_CNT_1014G)남자15~19세(MAN_FLOW_POP_CNT_1519G)남자20~24세(MAN_FLOW_POP_CNT_2024G)남자25~29세(MAN_FLOW_POP_CNT_2529G)남자30~34세(MAN_FLOW_POP_CNT_3034G)남자35~39세(MAN_FLOW_POP_CNT_3539G)남자40~44세(MAN_FLOW_POP_CNT_4044G)남자45~49세(MAN_FLOW_POP_CNT_4549G)남자50~54세(MAN_FLOW_POP_CNT_5054G)남자55~59세(MAN_FLOW_POP_CNT_5559G)남자60~64세(MAN_FLOW_POP_CNT_6064G)남자65~69세(MAN_FLOW_POP_CNT_6569G)남자70세이상(MAN_FLOW_POP_CNT_70GU)여자0~4세(WMAN_FLOW_POP_CNT_0004G)여자5~9세(WMAN_FLOW_POP_CNT_0509G)여자10~14세(WMAN_FLOW_POP_CNT_1014G)여자15~19세(WMAN_FLOW_POP_CNT_1519G)여자20~24세(WMAN_FLOW_POP_CNT_2024G)여자25~29세(WMAN_FLOW_POP_CNT_2529G)여자30~34세(WMAN_FLOW_POP_CNT_3034G)여자35~39세(WMAN_FLOW_POP_CNT_3539G)여자40~44세(WMAN_FLOW_POP_CNT_4044G)여자45~49세(WMAN_FLOW_POP_CNT_4549G)여자50~54세(WMAN_FLOW_POP_CNT_5054G)여자55~59세(WMAN_FLOW_POP_CNT_5559G)여자60~64세(WMAN_FLOW_POP_CNT_6064G)여자65~69세(WMAN_FLOW_POP_CNT_6570G)여자70세이상(WMAN_FLOW_POP_CNT_70GU)
0201607201607311*2*0*0*1*0*2*0*0*0*961971.519461751111000.00.00.00.00.010.00.00.020.00.060.00.010.010.0100.00.00.00.020.050.010.010.00.00.00.020.00.00.0
1201602201602051*2*0*9*3*0*3*0*0*0*964378.312519454514476000.00.00.00.00.040.00.00.050.00.00.010.120.00.0100.00.00.020.10.00.020.020.00.110.010.00.080.00.0
2201606201606121*2*0*0*2*0*1*0*0*0*961976.187519465254812900.00.00.00.00.00.010.00.010.260.00.080.00.00.000.00.00.010.010.00.00.020.00.00.020.080.00.00.0
3201605201605121*2*0*8*2*0*2*0*0*0*963203.812519472434167000.00.00.020.010.00.00.250.010.00.00.00.030.00.000.00.020.030.00.00.00.00.050.040.00.00.010.00.0
4201604201604181*2*0*0*4*2*8*0*0*0*965906.312519467344159000.00.00.00.00.00.030.060.00.060.240.00.00.00.000.00.00.00.00.00.00.010.00.010.00.030.00.00.0
5201604201604071*2*0*0*5*0*2*0*0*0*965117.37519454511129000.00.270.010.010.030.00.00.00.00.070.00.00.00.000.00.00.00.210.010.010.00.00.00.030.00.00.00.0
6201601201601291*2*0*7*2*0*1*0*0*0*964429.187519458094115000.00.010.00.00.150.00.070.540.00.00.00.00.00.0300.010.00.00.160.00.00.010.00.00.030.00.00.840.0
7201601201601191*2*0*7*2*0*1*0*0*0*964089.687519463231135000.00.00.00.010.021.260.020.00.010.00.060.00.050.000.00.00.020.00.00.020.00.00.030.00.00.020.00.0
8201603201603031*2*0*8*1*0*8*0*0*0*962514.37519462241147000.00.00.00.00.00.00.020.00.00.00.00.00.00.000.00.010.010.010.00.00.00.00.00.00.00.00.00.0
9201606201606011*2*0*5*2*5*3*0*0*0*963492.312519454032726000.010.050.010.00.010.00.010.00.00.050.050.00.00.000.00.00.00.170.020.00.070.00.00.010.010.00.00.0
년월(STD_YM)년월일(STD_YMD)블록코드(BLOCK_CD)X좌표(X_COORD)Y좌표(Y_COORD)유입지코드(INFLOW_CD)남자0~4세(MAN_FLOW_POP_CNT_0004G)남자5~9세(MAN_FLOW_POP_CNT_0509G)남자10~14세(MAN_FLOW_POP_CNT_1014G)남자15~19세(MAN_FLOW_POP_CNT_1519G)남자20~24세(MAN_FLOW_POP_CNT_2024G)남자25~29세(MAN_FLOW_POP_CNT_2529G)남자30~34세(MAN_FLOW_POP_CNT_3034G)남자35~39세(MAN_FLOW_POP_CNT_3539G)남자40~44세(MAN_FLOW_POP_CNT_4044G)남자45~49세(MAN_FLOW_POP_CNT_4549G)남자50~54세(MAN_FLOW_POP_CNT_5054G)남자55~59세(MAN_FLOW_POP_CNT_5559G)남자60~64세(MAN_FLOW_POP_CNT_6064G)남자65~69세(MAN_FLOW_POP_CNT_6569G)남자70세이상(MAN_FLOW_POP_CNT_70GU)여자0~4세(WMAN_FLOW_POP_CNT_0004G)여자5~9세(WMAN_FLOW_POP_CNT_0509G)여자10~14세(WMAN_FLOW_POP_CNT_1014G)여자15~19세(WMAN_FLOW_POP_CNT_1519G)여자20~24세(WMAN_FLOW_POP_CNT_2024G)여자25~29세(WMAN_FLOW_POP_CNT_2529G)여자30~34세(WMAN_FLOW_POP_CNT_3034G)여자35~39세(WMAN_FLOW_POP_CNT_3539G)여자40~44세(WMAN_FLOW_POP_CNT_4044G)여자45~49세(WMAN_FLOW_POP_CNT_4549G)여자50~54세(WMAN_FLOW_POP_CNT_5054G)여자55~59세(WMAN_FLOW_POP_CNT_5559G)여자60~64세(WMAN_FLOW_POP_CNT_6064G)여자65~69세(WMAN_FLOW_POP_CNT_6570G)여자70세이상(WMAN_FLOW_POP_CNT_70GU)
490201509201509151*2*0*9*2*1*2*0*0*0*962268.519457614519000.00.00.010.00.00.00.00.040.00.00.00.00.00.000.00.00.340.090.00.040.010.030.030.020.00.070.00.01
491201509201509271*2*0*0*2*0*1*0*0*0*963346.312519460254872000.010.00.00.020.00.010.00.030.00.010.010.010.00.000.00.00.00.00.00.080.060.00.00.010.00.00.230.0
492201512201512181*2*0*5*2*5*4*0*0*0*964428.312519463782635000.00.060.00.00.00.010.010.020.00.00.00.00.00.000.00.00.00.020.00.00.060.120.040.00.00.00.020.0
493201604201604121*2*0*7*2*0*1*0*0*0*962511.812519463291135000.00.030.020.00.00.00.010.010.00.010.00.00.00.000.00.010.020.040.00.030.010.00.00.020.010.010.00.0
494201602201602041*2*0*0*4*0*4*0*0*0*964037.12519460144129000.00.010.010.020.010.050.00.010.010.00.00.00.00.000.00.00.060.021.430.010.00.00.00.00.00.00.00.0
495201606201606091*2*0*7*2*0*1*0*0*0*965413.312519451462617000.00.00.00.00.030.210.130.00.00.010.010.00.00.0100.00.00.020.030.050.010.00.010.00.00.00.00.00.0
496201509201509141*2*0*9*3*0*3*0*0*0*964674.87519465914127300.00.00.020.010.010.00.190.020.00.080.00.00.00.0300.00.00.00.00.010.00.00.00.00.00.010.00.00.0
497201606201606121*2*0*1*7*0*2*0*0*0*963147.87519455094128100.00.00.00.030.040.010.00.00.010.020.00.00.00.000.00.00.020.00.030.020.00.00.00.00.00.00.00.0
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