Overview

Dataset statistics

Number of variables30
Number of observations6935
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory267.0 B

Variable types

Numeric24
Categorical6

Dataset

Description경상남도 김해시 행정동별 성연령별 유동인구 정보데이터로 기준(년, 월, 일), 시도명, 시군구명, 읍면동명, 서비스인구, 주거인구, 직장인구, 방문인구 등의 항목으로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15109694

Alerts

시도_명 has constant value ""Constant
시군구_명 has constant value ""Constant
시도_코드 has constant value ""Constant
시군구_코드 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:22:23.526504
Analysis finished2023-12-11 00:22:23.882665
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct6935
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3468
Minimum1
Maximum6935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:23.940763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile347.7
Q11734.5
median3468
Q35201.5
95-th percentile6588.3
Maximum6935
Range6934
Interquartile range (IQR)3467

Descriptive statistics

Standard deviation2002.1064
Coefficient of variation (CV)0.57730865
Kurtosis-1.2
Mean3468
Median Absolute Deviation (MAD)1734
Skewness0
Sum24050580
Variance4008430
MonotonicityStrictly increasing
2023-12-11T09:22:24.062398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4621 1
 
< 0.1%
4632 1
 
< 0.1%
4631 1
 
< 0.1%
4630 1
 
< 0.1%
4629 1
 
< 0.1%
4628 1
 
< 0.1%
4627 1
 
< 0.1%
4626 1
 
< 0.1%
4625 1
 
< 0.1%
Other values (6925) 6925
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6935 1
< 0.1%
6934 1
< 0.1%
6933 1
< 0.1%
6932 1
< 0.1%
6931 1
< 0.1%
6930 1
< 0.1%
6929 1
< 0.1%
6928 1
< 0.1%
6927 1
< 0.1%
6926 1
< 0.1%

기준_년
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
2022
5187 
2021
1748 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 5187
74.8%
2021 1748
 
25.2%

Length

2023-12-11T09:22:24.177277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:22:24.580690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 5187
74.8%
2021 1748
 
25.2%

기준_월
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5260274
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:24.667802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4480999
Coefficient of variation (CV)0.52836124
Kurtosis-1.207057
Mean6.5260274
Median Absolute Deviation (MAD)3
Skewness-0.010458667
Sum45258
Variance11.889393
MonotonicityNot monotonic
2023-12-11T09:22:24.789162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 589
8.5%
12 589
8.5%
1 589
8.5%
3 589
8.5%
5 589
8.5%
7 589
8.5%
8 589
8.5%
11 570
8.2%
4 570
8.2%
6 570
8.2%
Other values (2) 1102
15.9%
ValueCountFrequency (%)
1 589
8.5%
2 532
7.7%
3 589
8.5%
4 570
8.2%
5 589
8.5%
6 570
8.2%
7 589
8.5%
8 589
8.5%
9 570
8.2%
10 589
8.5%
ValueCountFrequency (%)
12 589
8.5%
11 570
8.2%
10 589
8.5%
9 570
8.2%
8 589
8.5%
7 589
8.5%
6 570
8.2%
5 589
8.5%
4 570
8.2%
3 589
8.5%

기준_일
Real number (ℝ)

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.720548
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:24.977973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7968813
Coefficient of variation (CV)0.55957854
Kurtosis-1.1931498
Mean15.720548
Median Absolute Deviation (MAD)8
Skewness0.0075227766
Sum109022
Variance77.38512
MonotonicityNot monotonic
2023-12-11T09:22:25.119441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 228
 
3.3%
16 228
 
3.3%
28 228
 
3.3%
27 228
 
3.3%
26 228
 
3.3%
25 228
 
3.3%
24 228
 
3.3%
23 228
 
3.3%
22 228
 
3.3%
21 228
 
3.3%
Other values (21) 4655
67.1%
ValueCountFrequency (%)
1 228
3.3%
2 228
3.3%
3 228
3.3%
4 228
3.3%
5 228
3.3%
6 228
3.3%
7 228
3.3%
8 228
3.3%
9 228
3.3%
10 228
3.3%
ValueCountFrequency (%)
31 133
1.9%
30 209
3.0%
29 209
3.0%
28 228
3.3%
27 228
3.3%
26 228
3.3%
25 228
3.3%
24 228
3.3%
23 228
3.3%
22 228
3.3%

시도_명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
경상남도
6935 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 6935
100.0%

Length

2023-12-11T09:22:25.254340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:22:25.381433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 6935
100.0%

시군구_명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
김해시
6935 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김해시 6935
100.0%

Length

2023-12-11T09:22:25.501681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:22:25.609606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 6935
100.0%

행정동_명
Categorical

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
내외동
 
365
대동면
 
365
동상동
 
365
부원동
 
365
북부동
 
365
Other values (14)
5110 

Length

Max length5
Median length3
Mean length3.2631579
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
내외동 365
 
5.3%
대동면 365
 
5.3%
동상동 365
 
5.3%
부원동 365
 
5.3%
북부동 365
 
5.3%
불암동 365
 
5.3%
삼안동 365
 
5.3%
상동면 365
 
5.3%
생림면 365
 
5.3%
장유1동 365
 
5.3%
Other values (9) 3285
47.4%

Length

2023-12-11T09:22:25.714276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내외동 365
 
5.3%
장유2동 365
 
5.3%
활천동 365
 
5.3%
한림면 365
 
5.3%
칠산서부동 365
 
5.3%
진영읍 365
 
5.3%
진례면 365
 
5.3%
주촌면 365
 
5.3%
장유3동 365
 
5.3%
장유1동 365
 
5.3%
Other values (9) 3285
47.4%

시도_코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
48
6935 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48
2nd row48
3rd row48
4th row48
5th row48

Common Values

ValueCountFrequency (%)
48 6935
100.0%

Length

2023-12-11T09:22:25.861425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:22:25.954173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48 6935
100.0%

시군구_코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
48250
6935 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48250
2nd row48250
3rd row48250
4th row48250
5th row48250

Common Values

ValueCountFrequency (%)
48250 6935
100.0%

Length

2023-12-11T09:22:26.048688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:22:26.131232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48250 6935
100.0%

행정동_코드
Real number (ℝ)

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8250482 × 109
Minimum4.825025 × 109
Maximum4.825063 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:26.221770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.825025 × 109
5-th percentile4.825025 × 109
Q14.825035 × 109
median4.825053 × 109
Q34.825059 × 109
95-th percentile4.825063 × 109
Maximum4.825063 × 109
Range38000
Interquartile range (IQR)24000

Descriptive statistics

Standard deviation12142.982
Coefficient of variation (CV)2.516655 × 10-6
Kurtosis-1.3407
Mean4.8250482 × 109
Median Absolute Deviation (MAD)8000
Skewness-0.46653375
Sum3.346171 × 1013
Variance1.4745201 × 108
MonotonicityNot monotonic
2023-12-11T09:22:26.350998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4825054000 365
 
5.3%
4825037000 365
 
5.3%
4825052000 365
 
5.3%
4825058000 365
 
5.3%
4825034000 365
 
5.3%
4825056500 365
 
5.3%
4825025000 365
 
5.3%
4825033000 365
 
5.3%
4825032000 365
 
5.3%
4825063000 365
 
5.3%
Other values (9) 3285
47.4%
ValueCountFrequency (%)
4825025000 365
5.3%
4825032000 365
5.3%
4825033000 365
5.3%
4825034000 365
5.3%
4825035000 365
5.3%
4825036000 365
5.3%
4825037000 365
5.3%
4825051000 365
5.3%
4825052000 365
5.3%
4825053000 365
5.3%
ValueCountFrequency (%)
4825063000 365
5.3%
4825062000 365
5.3%
4825061000 365
5.3%
4825060000 365
5.3%
4825059000 365
5.3%
4825058000 365
5.3%
4825056500 365
5.3%
4825055000 365
5.3%
4825054000 365
5.3%
4825053000 365
5.3%

서비스인구
Real number (ℝ)

Distinct6043
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35123.717
Minimum3044
Maximum120436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:26.494951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3044
5-th percentile10124.4
Q112724.5
median24487
Q357662.5
95-th percentile88961.6
Maximum120436
Range117392
Interquartile range (IQR)44938

Descriptive statistics

Standard deviation26268.569
Coefficient of variation (CV)0.74788693
Kurtosis-0.59895179
Mean35123.717
Median Absolute Deviation (MAD)14005
Skewness0.81568443
Sum2.4358298 × 108
Variance6.900377 × 108
MonotonicityNot monotonic
2023-12-11T09:22:26.664704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10804 6
 
0.1%
10903 6
 
0.1%
10893 5
 
0.1%
10714 5
 
0.1%
10696 5
 
0.1%
10988 5
 
0.1%
10958 4
 
0.1%
10543 4
 
0.1%
10353 4
 
0.1%
10413 4
 
0.1%
Other values (6033) 6887
99.3%
ValueCountFrequency (%)
3044 1
< 0.1%
3058 1
< 0.1%
6167 1
< 0.1%
6338 1
< 0.1%
7152 1
< 0.1%
7370 1
< 0.1%
7670 1
< 0.1%
7720 1
< 0.1%
7785 1
< 0.1%
7794 1
< 0.1%
ValueCountFrequency (%)
120436 1
< 0.1%
119843 1
< 0.1%
97670 1
< 0.1%
97251 1
< 0.1%
97146 1
< 0.1%
96927 1
< 0.1%
96834 1
< 0.1%
96812 1
< 0.1%
96791 1
< 0.1%
96715 1
< 0.1%

주거인구
Real number (ℝ)

Distinct6516
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23920.131
Minimum2169.5155
Maximum97167.899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:26.803849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2169.5155
5-th percentile4198.7363
Q16440.4539
median9969.3994
Q340358.526
95-th percentile71473.059
Maximum97167.899
Range94998.384
Interquartile range (IQR)33918.072

Descriptive statistics

Standard deviation22225.596
Coefficient of variation (CV)0.92915863
Kurtosis-0.41286558
Mean23920.131
Median Absolute Deviation (MAD)5406.6815
Skewness0.93498542
Sum1.6588611 × 108
Variance4.9397713 × 108
MonotonicityNot monotonic
2023-12-11T09:22:26.946919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6683.158259 4
 
0.1%
9781.088943 4
 
0.1%
9749.111699 4
 
0.1%
5480.571022 3
 
< 0.1%
6677.028609 3
 
< 0.1%
5833.198165 3
 
< 0.1%
55187.74077 3
 
< 0.1%
6556.274488 3
 
< 0.1%
5573.452903 3
 
< 0.1%
7658.161819 3
 
< 0.1%
Other values (6506) 6902
99.5%
ValueCountFrequency (%)
2169.515549 1
< 0.1%
2179.49361 1
< 0.1%
2278.380339 1
< 0.1%
2347.827614 1
< 0.1%
2443.397259 1
< 0.1%
2459.325534 1
< 0.1%
2480.03229 1
< 0.1%
2494.049171 1
< 0.1%
2516.667321 1
< 0.1%
2529.091375 1
< 0.1%
ValueCountFrequency (%)
97167.89937 1
< 0.1%
96689.46631 1
< 0.1%
78800.26513 1
< 0.1%
78462.21546 1
< 0.1%
78377.50135 1
< 0.1%
78200.8119 1
< 0.1%
78125.7794 1
< 0.1%
78108.02977 1
< 0.1%
78091.08695 1
< 0.1%
78029.77006 1
< 0.1%

직장인구
Real number (ℝ)

Distinct6516
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5463.7217
Minimum307.23312
Maximum13351.077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:27.147257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum307.23312
5-th percentile1146.1592
Q13162.6543
median4974.0547
Q37904.0292
95-th percentile10776.988
Maximum13351.077
Range13043.844
Interquartile range (IQR)4741.3749

Descriptive statistics

Standard deviation2930.6425
Coefficient of variation (CV)0.5363821
Kurtosis-0.83328214
Mean5463.7217
Median Absolute Deviation (MAD)2760.5346
Skewness0.30753644
Sum37890910
Variance8588665.7
MonotonicityNot monotonic
2023-12-11T09:22:27.321317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2165.929715 4
 
0.1%
10714.71352 4
 
0.1%
10679.68399 4
 
0.1%
1492.731323 3
 
< 0.1%
2163.94317 3
 
< 0.1%
1588.775618 3
 
< 0.1%
3899.058998 3
 
< 0.1%
2124.808239 3
 
< 0.1%
1518.029361 3
 
< 0.1%
1084.500625 3
 
< 0.1%
Other values (6506) 6902
99.5%
ValueCountFrequency (%)
307.2331226 1
< 0.1%
308.6461528 1
< 0.1%
907.052327 1
< 0.1%
932.2032834 1
< 0.1%
970.8526303 1
< 0.1%
984.0745551 1
< 0.1%
985.3866545 1
< 0.1%
988.2127148 1
< 0.1%
988.6164377 1
< 0.1%
990.6350521 1
< 0.1%
ValueCountFrequency (%)
13351.07681 1
< 0.1%
12728.01879 1
< 0.1%
12696.55514 1
< 0.1%
12524.86459 1
< 0.1%
12429.69675 1
< 0.1%
12401.34062 1
< 0.1%
12343.07459 1
< 0.1%
12320.9335 1
< 0.1%
12317.0491 1
< 0.1%
12271.99004 1
< 0.1%

방문인구
Real number (ℝ)

Distinct6516
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5739.8641
Minimum567.25133
Maximum19816.533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:27.471158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum567.25133
5-th percentile1995.2167
Q13308.8472
median4647.6172
Q37534.3345
95-th percentile11777.334
Maximum19816.533
Range19249.282
Interquartile range (IQR)4225.4873

Descriptive statistics

Standard deviation3102.9307
Coefficient of variation (CV)0.54059307
Kurtosis-0.51581641
Mean5739.8641
Median Absolute Deviation (MAD)2193.4484
Skewness0.73389626
Sum39805957
Variance9628179
MonotonicityNot monotonic
2023-12-11T09:22:27.596740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2053.912026 4
 
0.1%
4280.197535 4
 
0.1%
4266.204315 4
 
0.1%
3175.697655 3
 
< 0.1%
2052.028221 3
 
< 0.1%
3380.026217 3
 
< 0.1%
7407.200235 3
 
< 0.1%
2014.917273 3
 
< 0.1%
3229.517736 3
 
< 0.1%
2002.337556 3
 
< 0.1%
Other values (6506) 6902
99.5%
ValueCountFrequency (%)
567.2513282 1
< 0.1%
569.860237 1
< 0.1%
1522.490782 1
< 0.1%
1565.629904 1
< 0.1%
1566.571806 1
< 0.1%
1591.438026 1
< 0.1%
1594.452113 1
< 0.1%
1598.784863 1
< 0.1%
1611.971494 1
< 0.1%
1635.51905 1
< 0.1%
ValueCountFrequency (%)
19816.53286 1
< 0.1%
19648.58389 1
< 0.1%
15875.61949 1
< 0.1%
15689.69811 1
< 0.1%
15344.5041 1
< 0.1%
14895.40069 1
< 0.1%
14442.99202 1
< 0.1%
14362.01293 1
< 0.1%
14318.4247 1
< 0.1%
14271.73777 1
< 0.1%

남성10대미만
Real number (ℝ)

Distinct2398
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1616.4779
Minimum7
Maximum7431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:27.734118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile103
Q1312
median479
Q33007
95-th percentile5231.3
Maximum7431
Range7424
Interquartile range (IQR)2695

Descriptive statistics

Standard deviation1734.7676
Coefficient of variation (CV)1.0731775
Kurtosis-0.49719892
Mean1616.4779
Median Absolute Deviation (MAD)325
Skewness0.96557471
Sum11210274
Variance3009418.7
MonotonicityNot monotonic
2023-12-11T09:22:27.857414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456 21
 
0.3%
434 21
 
0.3%
413 20
 
0.3%
416 19
 
0.3%
428 19
 
0.3%
432 19
 
0.3%
437 19
 
0.3%
410 18
 
0.3%
424 18
 
0.3%
231 18
 
0.3%
Other values (2388) 6743
97.2%
ValueCountFrequency (%)
7 1
 
< 0.1%
13 2
 
< 0.1%
14 2
 
< 0.1%
15 3
< 0.1%
16 3
< 0.1%
17 1
 
< 0.1%
18 4
0.1%
19 5
0.1%
20 4
0.1%
21 2
 
< 0.1%
ValueCountFrequency (%)
7431 1
< 0.1%
7378 1
< 0.1%
6690 1
< 0.1%
6493 1
< 0.1%
6425 1
< 0.1%
6238 1
< 0.1%
6154 1
< 0.1%
6036 1
< 0.1%
5649 1
< 0.1%
5647 1
< 0.1%

남성10대
Real number (ℝ)

Distinct2622
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2109.1462
Minimum72
Maximum8698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:27.997204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile154
Q1430
median647
Q33526.5
95-th percentile6679
Maximum8698
Range8626
Interquartile range (IQR)3096.5

Descriptive statistics

Standard deviation2200.2993
Coefficient of variation (CV)1.043218
Kurtosis-0.24643925
Mean2109.1462
Median Absolute Deviation (MAD)444
Skewness0.97979118
Sum14626929
Variance4841316.9
MonotonicityNot monotonic
2023-12-11T09:22:28.135253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
541 31
 
0.4%
546 27
 
0.4%
538 25
 
0.4%
533 25
 
0.4%
543 25
 
0.4%
548 24
 
0.3%
559 24
 
0.3%
531 23
 
0.3%
530 23
 
0.3%
563 22
 
0.3%
Other values (2612) 6686
96.4%
ValueCountFrequency (%)
72 1
 
< 0.1%
75 1
 
< 0.1%
76 1
 
< 0.1%
79 1
 
< 0.1%
80 4
0.1%
81 3
< 0.1%
83 3
< 0.1%
84 2
< 0.1%
85 1
 
< 0.1%
86 1
 
< 0.1%
ValueCountFrequency (%)
8698 1
< 0.1%
8624 1
< 0.1%
8321 1
< 0.1%
8161 1
< 0.1%
8074 1
< 0.1%
8062 1
< 0.1%
8001 1
< 0.1%
7998 1
< 0.1%
7937 1
< 0.1%
7930 1
< 0.1%

남성20대
Real number (ℝ)

Distinct2952
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2277.7494
Minimum186
Maximum7812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:28.242539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile645
Q1866
median1922
Q33313
95-th percentile6102.5
Maximum7812
Range7626
Interquartile range (IQR)2447

Descriptive statistics

Standard deviation1724.643
Coefficient of variation (CV)0.7571698
Kurtosis0.21050291
Mean2277.7494
Median Absolute Deviation (MAD)1130
Skewness1.1082824
Sum15796192
Variance2974393.6
MonotonicityNot monotonic
2023-12-11T09:22:28.358932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711 18
 
0.3%
767 14
 
0.2%
721 14
 
0.2%
740 13
 
0.2%
745 13
 
0.2%
770 13
 
0.2%
751 13
 
0.2%
705 12
 
0.2%
668 12
 
0.2%
676 12
 
0.2%
Other values (2942) 6801
98.1%
ValueCountFrequency (%)
186 1
< 0.1%
221 1
< 0.1%
364 1
< 0.1%
368 1
< 0.1%
443 1
< 0.1%
459 1
< 0.1%
497 2
< 0.1%
508 1
< 0.1%
532 1
< 0.1%
533 1
< 0.1%
ValueCountFrequency (%)
7812 1
< 0.1%
7727 1
< 0.1%
7680 1
< 0.1%
7642 1
< 0.1%
7587 1
< 0.1%
7420 1
< 0.1%
7325 1
< 0.1%
7268 1
< 0.1%
7235 1
< 0.1%
7231 1
< 0.1%

남성30대
Real number (ℝ)

Distinct3146
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2844.8823
Minimum204
Maximum8303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:28.481546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204
5-th percentile749
Q11112
median2590
Q34625
95-th percentile6203
Maximum8303
Range8099
Interquartile range (IQR)3513

Descriptive statistics

Standard deviation1840.8626
Coefficient of variation (CV)0.64707865
Kurtosis-1.2163036
Mean2844.8823
Median Absolute Deviation (MAD)1507
Skewness0.42336787
Sum19729259
Variance3388775.1
MonotonicityNot monotonic
2023-12-11T09:22:28.605485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
815 13
 
0.2%
806 12
 
0.2%
800 12
 
0.2%
776 12
 
0.2%
816 12
 
0.2%
809 12
 
0.2%
786 12
 
0.2%
810 11
 
0.2%
1086 11
 
0.2%
840 11
 
0.2%
Other values (3136) 6817
98.3%
ValueCountFrequency (%)
204 1
< 0.1%
207 1
< 0.1%
402 1
< 0.1%
418 1
< 0.1%
581 1
< 0.1%
590 1
< 0.1%
593 1
< 0.1%
594 1
< 0.1%
596 1
< 0.1%
599 1
< 0.1%
ValueCountFrequency (%)
8303 1
< 0.1%
8075 1
< 0.1%
7745 1
< 0.1%
7579 1
< 0.1%
6729 1
< 0.1%
6719 1
< 0.1%
6686 1
< 0.1%
6679 2
< 0.1%
6664 1
< 0.1%
6652 1
< 0.1%

남성40대
Real number (ℝ)

Distinct3660
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3688.2327
Minimum201
Maximum11288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:28.720483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile805.7
Q11314
median3699
Q35841.5
95-th percentile8609.5
Maximum11288
Range11087
Interquartile range (IQR)4527.5

Descriptive statistics

Standard deviation2558.5544
Coefficient of variation (CV)0.69370743
Kurtosis-0.95751696
Mean3688.2327
Median Absolute Deviation (MAD)2281
Skewness0.53860504
Sum25577894
Variance6546200.8
MonotonicityNot monotonic
2023-12-11T09:22:29.069296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
840 13
 
0.2%
887 12
 
0.2%
868 12
 
0.2%
873 10
 
0.1%
884 10
 
0.1%
893 10
 
0.1%
1840 10
 
0.1%
862 10
 
0.1%
864 10
 
0.1%
889 9
 
0.1%
Other values (3650) 6829
98.5%
ValueCountFrequency (%)
201 1
< 0.1%
211 1
< 0.1%
338 1
< 0.1%
370 1
< 0.1%
665 1
< 0.1%
667 1
< 0.1%
669 2
< 0.1%
671 1
< 0.1%
672 1
< 0.1%
673 1
< 0.1%
ValueCountFrequency (%)
11288 1
< 0.1%
11270 1
< 0.1%
10003 1
< 0.1%
9845 1
< 0.1%
9364 1
< 0.1%
9333 1
< 0.1%
9255 1
< 0.1%
9249 1
< 0.1%
9219 1
< 0.1%
9215 1
< 0.1%

남성50대
Real number (ℝ)

Distinct3359
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3230.9321
Minimum201
Maximum9767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:29.186204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile913.7
Q11501
median3091
Q34443
95-th percentile7233.3
Maximum9767
Range9566
Interquartile range (IQR)2942

Descriptive statistics

Standard deviation1942.6901
Coefficient of variation (CV)0.60127853
Kurtosis-0.5293574
Mean3230.9321
Median Absolute Deviation (MAD)1512
Skewness0.6234349
Sum22406514
Variance3774044.8
MonotonicityNot monotonic
2023-12-11T09:22:29.300882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1459 13
 
0.2%
909 11
 
0.2%
982 11
 
0.2%
915 10
 
0.1%
957 10
 
0.1%
965 10
 
0.1%
3825 9
 
0.1%
1497 9
 
0.1%
924 9
 
0.1%
973 9
 
0.1%
Other values (3349) 6834
98.5%
ValueCountFrequency (%)
201 1
< 0.1%
225 1
< 0.1%
443 1
< 0.1%
451 1
< 0.1%
728 1
< 0.1%
748 1
< 0.1%
752 1
< 0.1%
766 1
< 0.1%
768 1
< 0.1%
771 1
< 0.1%
ValueCountFrequency (%)
9767 1
< 0.1%
9760 1
< 0.1%
7782 1
< 0.1%
7752 1
< 0.1%
7744 1
< 0.1%
7738 1
< 0.1%
7705 1
< 0.1%
7682 1
< 0.1%
7671 1
< 0.1%
7665 1
< 0.1%

남성60대
Real number (ℝ)

Distinct2689
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1896.9575
Minimum186
Maximum5504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:29.424017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile635
Q11042
median1647
Q32416.5
95-th percentile3862.7
Maximum5504
Range5318
Interquartile range (IQR)1374.5

Descriptive statistics

Standard deviation1059.0006
Coefficient of variation (CV)0.55826271
Kurtosis-0.59436665
Mean1896.9575
Median Absolute Deviation (MAD)668
Skewness0.70477124
Sum13155400
Variance1121482.3
MonotonicityNot monotonic
2023-12-11T09:22:29.536686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
685 17
 
0.2%
679 16
 
0.2%
687 14
 
0.2%
696 14
 
0.2%
645 14
 
0.2%
680 14
 
0.2%
661 13
 
0.2%
686 13
 
0.2%
688 13
 
0.2%
670 13
 
0.2%
Other values (2679) 6794
98.0%
ValueCountFrequency (%)
186 1
< 0.1%
197 1
< 0.1%
414 1
< 0.1%
424 1
< 0.1%
488 1
< 0.1%
490 1
< 0.1%
491 1
< 0.1%
498 1
< 0.1%
503 2
< 0.1%
504 1
< 0.1%
ValueCountFrequency (%)
5504 1
< 0.1%
5489 1
< 0.1%
4516 1
< 0.1%
4512 1
< 0.1%
4495 1
< 0.1%
4494 1
< 0.1%
4463 1
< 0.1%
4461 1
< 0.1%
4460 2
< 0.1%
4459 2
< 0.1%

남성70대이상
Real number (ℝ)

Distinct1482
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848.29257
Minimum85
Maximum2553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:29.642648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile321
Q1470
median664
Q31217.5
95-th percentile1846.3
Maximum2553
Range2468
Interquartile range (IQR)747.5

Descriptive statistics

Standard deviation484.38808
Coefficient of variation (CV)0.57101535
Kurtosis-0.31754232
Mean848.29257
Median Absolute Deviation (MAD)241
Skewness0.91336561
Sum5882909
Variance234631.81
MonotonicityNot monotonic
2023-12-11T09:22:29.753789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330 21
 
0.3%
469 21
 
0.3%
332 21
 
0.3%
465 20
 
0.3%
456 20
 
0.3%
336 19
 
0.3%
440 19
 
0.3%
340 19
 
0.3%
466 19
 
0.3%
491 18
 
0.3%
Other values (1472) 6738
97.2%
ValueCountFrequency (%)
85 1
< 0.1%
90 1
< 0.1%
224 1
< 0.1%
230 1
< 0.1%
231 1
< 0.1%
234 1
< 0.1%
235 2
< 0.1%
236 2
< 0.1%
238 2
< 0.1%
239 1
< 0.1%
ValueCountFrequency (%)
2553 1
< 0.1%
2537 1
< 0.1%
2116 1
< 0.1%
2104 1
< 0.1%
2102 1
< 0.1%
2100 1
< 0.1%
2096 2
< 0.1%
2094 2
< 0.1%
2092 1
< 0.1%
2091 1
< 0.1%

여성10대미만
Real number (ℝ)

Distinct2379
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1556.8174
Minimum33
Maximum7050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:29.866530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile90
Q1313
median475
Q32865
95-th percentile5008
Maximum7050
Range7017
Interquartile range (IQR)2552

Descriptive statistics

Standard deviation1659.7012
Coefficient of variation (CV)1.0660859
Kurtosis-0.52311556
Mean1556.8174
Median Absolute Deviation (MAD)331
Skewness0.95080633
Sum10796529
Variance2754608
MonotonicityNot monotonic
2023-12-11T09:22:29.975965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 22
 
0.3%
360 21
 
0.3%
392 20
 
0.3%
416 19
 
0.3%
378 19
 
0.3%
66 18
 
0.3%
373 18
 
0.3%
350 18
 
0.3%
352 17
 
0.2%
367 17
 
0.2%
Other values (2369) 6746
97.3%
ValueCountFrequency (%)
33 1
 
< 0.1%
34 1
 
< 0.1%
35 1
 
< 0.1%
37 1
 
< 0.1%
38 1
 
< 0.1%
39 1
 
< 0.1%
40 2
< 0.1%
42 1
 
< 0.1%
43 4
0.1%
44 3
< 0.1%
ValueCountFrequency (%)
7050 1
< 0.1%
6944 1
< 0.1%
6348 1
< 0.1%
6137 1
< 0.1%
6054 1
< 0.1%
5734 1
< 0.1%
5437 1
< 0.1%
5327 1
< 0.1%
5315 1
< 0.1%
5301 1
< 0.1%

여성10대
Real number (ℝ)

Distinct2557
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1941.2735
Minimum82
Maximum7774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:30.092064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile128
Q1368
median683
Q33222.5
95-th percentile5905.6
Maximum7774
Range7692
Interquartile range (IQR)2854.5

Descriptive statistics

Standard deviation1997.6151
Coefficient of variation (CV)1.029023
Kurtosis-0.48511459
Mean1941.2735
Median Absolute Deviation (MAD)514
Skewness0.89992492
Sum13462732
Variance3990465.9
MonotonicityNot monotonic
2023-12-11T09:22:30.218080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
514 22
 
0.3%
110 21
 
0.3%
505 18
 
0.3%
511 18
 
0.3%
529 17
 
0.2%
103 17
 
0.2%
267 16
 
0.2%
510 16
 
0.2%
518 16
 
0.2%
109 16
 
0.2%
Other values (2547) 6758
97.4%
ValueCountFrequency (%)
82 1
 
< 0.1%
85 2
 
< 0.1%
88 2
 
< 0.1%
89 1
 
< 0.1%
90 2
 
< 0.1%
91 4
0.1%
92 5
0.1%
93 3
 
< 0.1%
94 7
0.1%
95 8
0.1%
ValueCountFrequency (%)
7774 1
< 0.1%
7595 1
< 0.1%
7420 1
< 0.1%
7289 1
< 0.1%
7283 1
< 0.1%
7273 1
< 0.1%
7236 1
< 0.1%
7224 1
< 0.1%
7187 1
< 0.1%
7155 1
< 0.1%

여성20대
Real number (ℝ)

Distinct2698
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1718.6262
Minimum156
Maximum6535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:30.344716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile311.7
Q1549
median827
Q32288
95-th percentile5360.6
Maximum6535
Range6379
Interquartile range (IQR)1739

Descriptive statistics

Standard deviation1576.461
Coefficient of variation (CV)0.91727973
Kurtosis0.32085519
Mean1718.6262
Median Absolute Deviation (MAD)504
Skewness1.2081259
Sum11918673
Variance2485229.3
MonotonicityNot monotonic
2023-12-11T09:22:30.468176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
631 19
 
0.3%
684 17
 
0.2%
630 16
 
0.2%
691 16
 
0.2%
674 15
 
0.2%
609 15
 
0.2%
623 15
 
0.2%
628 15
 
0.2%
663 14
 
0.2%
635 14
 
0.2%
Other values (2688) 6779
97.8%
ValueCountFrequency (%)
156 1
 
< 0.1%
160 1
 
< 0.1%
219 1
 
< 0.1%
224 2
< 0.1%
227 1
 
< 0.1%
229 1
 
< 0.1%
231 1
 
< 0.1%
233 1
 
< 0.1%
234 1
 
< 0.1%
236 3
< 0.1%
ValueCountFrequency (%)
6535 1
< 0.1%
6470 1
< 0.1%
6429 1
< 0.1%
6428 1
< 0.1%
6386 1
< 0.1%
6370 1
< 0.1%
6334 1
< 0.1%
6297 1
< 0.1%
6248 1
< 0.1%
6224 1
< 0.1%

여성30대
Real number (ℝ)

Distinct2778
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2451.0101
Minimum151
Maximum8764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:30.593833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile447
Q1689
median1461
Q34108
95-th percentile6742.1
Maximum8764
Range8613
Interquartile range (IQR)3419

Descriptive statistics

Standard deviation2128.1669
Coefficient of variation (CV)0.86828157
Kurtosis-0.68331498
Mean2451.0101
Median Absolute Deviation (MAD)920
Skewness0.84912163
Sum16997755
Variance4529094.3
MonotonicityNot monotonic
2023-12-11T09:22:30.745572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
690 17
 
0.2%
684 15
 
0.2%
717 14
 
0.2%
427 14
 
0.2%
677 14
 
0.2%
689 14
 
0.2%
687 13
 
0.2%
695 13
 
0.2%
698 13
 
0.2%
464 13
 
0.2%
Other values (2768) 6795
98.0%
ValueCountFrequency (%)
151 1
< 0.1%
161 1
< 0.1%
276 1
< 0.1%
325 1
< 0.1%
340 2
< 0.1%
346 1
< 0.1%
348 1
< 0.1%
349 1
< 0.1%
350 1
< 0.1%
352 1
< 0.1%
ValueCountFrequency (%)
8764 1
< 0.1%
8761 1
< 0.1%
8678 1
< 0.1%
8581 1
< 0.1%
7270 1
< 0.1%
7246 1
< 0.1%
7231 1
< 0.1%
7198 1
< 0.1%
7196 1
< 0.1%
7195 1
< 0.1%

여성40대
Real number (ℝ)

Distinct3218
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441.7167
Minimum151
Maximum12340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:30.876743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile697
Q1905
median1807
Q35540.5
95-th percentile9324.3
Maximum12340
Range12189
Interquartile range (IQR)4635.5

Descriptive statistics

Standard deviation2979.9715
Coefficient of variation (CV)0.86583872
Kurtosis-0.66112043
Mean3441.7167
Median Absolute Deviation (MAD)1045
Skewness0.85459452
Sum23868305
Variance8880230.4
MonotonicityNot monotonic
2023-12-11T09:22:31.020294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
876 22
 
0.3%
898 19
 
0.3%
900 19
 
0.3%
894 19
 
0.3%
921 18
 
0.3%
850 16
 
0.2%
925 16
 
0.2%
853 16
 
0.2%
908 16
 
0.2%
862 16
 
0.2%
Other values (3208) 6758
97.4%
ValueCountFrequency (%)
151 1
< 0.1%
170 1
< 0.1%
435 1
< 0.1%
464 1
< 0.1%
472 1
< 0.1%
503 1
< 0.1%
513 1
< 0.1%
515 1
< 0.1%
521 1
< 0.1%
524 1
< 0.1%
ValueCountFrequency (%)
12340 1
< 0.1%
12303 1
< 0.1%
10865 1
< 0.1%
10742 1
< 0.1%
10015 1
< 0.1%
9978 1
< 0.1%
9966 1
< 0.1%
9927 1
< 0.1%
9908 1
< 0.1%
9879 1
< 0.1%

여성50대
Real number (ℝ)

Distinct2923
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2738.5272
Minimum201
Maximum10081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:31.164561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile899.7
Q11099
median1799
Q34025.5
95-th percentile7219.3
Maximum10081
Range9880
Interquartile range (IQR)2926.5

Descriptive statistics

Standard deviation1984.4701
Coefficient of variation (CV)0.72464866
Kurtosis0.12402195
Mean2738.5272
Median Absolute Deviation (MAD)875
Skewness1.056429
Sum18991686
Variance3938121.4
MonotonicityNot monotonic
2023-12-11T09:22:31.295906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
942 17
 
0.2%
958 17
 
0.2%
962 16
 
0.2%
949 15
 
0.2%
1041 15
 
0.2%
959 15
 
0.2%
939 15
 
0.2%
943 15
 
0.2%
950 14
 
0.2%
946 14
 
0.2%
Other values (2913) 6782
97.8%
ValueCountFrequency (%)
201 1
< 0.1%
204 1
< 0.1%
566 1
< 0.1%
574 1
< 0.1%
591 1
< 0.1%
607 2
< 0.1%
608 1
< 0.1%
611 1
< 0.1%
626 1
< 0.1%
639 1
< 0.1%
ValueCountFrequency (%)
10081 1
< 0.1%
9932 1
< 0.1%
7907 1
< 0.1%
7884 1
< 0.1%
7879 2
< 0.1%
7868 1
< 0.1%
7866 1
< 0.1%
7863 1
< 0.1%
7862 1
< 0.1%
7855 1
< 0.1%

여성60대
Real number (ℝ)

Distinct2399
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1636.682
Minimum196
Maximum5548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:31.437744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196
5-th percentile554
Q1761.5
median1178
Q32387
95-th percentile3716.3
Maximum5548
Range5352
Interquartile range (IQR)1625.5

Descriptive statistics

Standard deviation1082.1921
Coefficient of variation (CV)0.66121096
Kurtosis-0.4422521
Mean1636.682
Median Absolute Deviation (MAD)523
Skewness0.90515763
Sum11350390
Variance1171139.8
MonotonicityNot monotonic
2023-12-11T09:22:31.583292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710 16
 
0.2%
684 15
 
0.2%
692 14
 
0.2%
585 13
 
0.2%
704 13
 
0.2%
760 12
 
0.2%
772 12
 
0.2%
809 12
 
0.2%
818 12
 
0.2%
709 12
 
0.2%
Other values (2389) 6804
98.1%
ValueCountFrequency (%)
196 1
< 0.1%
209 1
< 0.1%
404 1
< 0.1%
425 1
< 0.1%
450 1
< 0.1%
454 1
< 0.1%
455 2
< 0.1%
459 1
< 0.1%
460 1
< 0.1%
461 1
< 0.1%
ValueCountFrequency (%)
5548 1
< 0.1%
5529 1
< 0.1%
4497 1
< 0.1%
4496 1
< 0.1%
4483 1
< 0.1%
4480 1
< 0.1%
4479 1
< 0.1%
4478 1
< 0.1%
4472 1
< 0.1%
4470 1
< 0.1%

여성70대이상
Real number (ℝ)

Distinct1775
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1126.3931
Minimum137
Maximum3722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.1 KiB
2023-12-11T09:22:31.723538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile339
Q1573
median856
Q31596.5
95-th percentile2557
Maximum3722
Range3585
Interquartile range (IQR)1023.5

Descriptive statistics

Standard deviation706.52155
Coefficient of variation (CV)0.62724245
Kurtosis-0.53321346
Mean1126.3931
Median Absolute Deviation (MAD)390
Skewness0.85323013
Sum7811536
Variance499172.71
MonotonicityNot monotonic
2023-12-11T09:22:31.880045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
562 28
 
0.4%
563 23
 
0.3%
553 23
 
0.3%
561 21
 
0.3%
550 21
 
0.3%
696 21
 
0.3%
565 21
 
0.3%
570 21
 
0.3%
573 20
 
0.3%
566 20
 
0.3%
Other values (1765) 6716
96.8%
ValueCountFrequency (%)
137 1
< 0.1%
143 1
< 0.1%
268 1
< 0.1%
274 1
< 0.1%
277 2
< 0.1%
278 1
< 0.1%
279 1
< 0.1%
280 2
< 0.1%
282 1
< 0.1%
283 1
< 0.1%
ValueCountFrequency (%)
3722 1
< 0.1%
3590 1
< 0.1%
2797 1
< 0.1%
2794 1
< 0.1%
2786 1
< 0.1%
2778 1
< 0.1%
2772 1
< 0.1%
2768 1
< 0.1%
2767 1
< 0.1%
2758 1
< 0.1%

Sample

관리번호기준_년기준_월기준_일시도_명시군구_명행정동_명시도_코드시군구_코드행정동_코드서비스인구주거인구직장인구방문인구남성10대미만남성10대남성20대남성30대남성40대남성50대남성60대남성70대이상여성10대미만여성10대여성20대여성30대여성40대여성50대여성60대여성70대이상
012021101경상남도김해시내외동484825048250540008303764124.645958575.68436610336.669683469676461655090786972813435121232555552538755649376690831752535
122021102경상남도김해시내외동484825048250540008229063547.781298498.53759810243.681113524611964515235783870733414121432065536552054249188684631842518
232021103경상남도김해시내외동484825048250540008043862117.58948307.27144610013.139153362602663095188763070853360122330305350538853338788674131332492
342021104경상남도김해시내외동484825048250540008190663251.240438458.87982110195.879753383610461515165788272673399124232185484538955029090689132162523
452021105경상남도김해시내외동484825048250540008235463597.204778505.14722710251.6483513646660055055809372223439122831715532530853519381687331882529
562021106경상남도김해시내외동484825048250540008231063563.226138500.60310710246.170763579630259985095799571993430121433265513526253669357693332172524
672021107경상남도김해시내외동484825048250540008225463519.980598494.81968110239.199733587637160255066794171913414121432805558525153419375689431932553
782021108경상남도김해시내외동484825048250540008264763823.471638535.40693710288.121433538629362605107795272363468120033075570536053759328694331802530
892021109경상남도김해시내외동484825048250540008199963323.058928468.48443910207.456643386618664665244795471063445122431065419542252699216683031762550
91020211010경상남도김해시내외동484825048250540007954661428.749688215.1497369902.1005883294597162145017767269983389121229375334529250438964664430772488
관리번호기준_년기준_월기준_일시도_명시군구_명행정동_명시도_코드시군구_코드행정동_코드서비스인구주거인구직장인구방문인구남성10대미만남성10대남성20대남성30대남성40대남성50대남성60대남성70대이상여성10대미만여성10대여성20대여성30대여성40대여성50대여성60대여성70대이상
692569262022921경상남도김해시회현동48482504825052000103655597.2133851524.5009523243.285663261441710729766905653421238513617716971990775659
692669272022922경상남도김해시회현동48482504825052000117616351.0686561729.8268883680.104456423510731789742893705524340602638754101711111029953
692769282022923경상남도김해시회현동48482504825052000114866202.5656481689.3794443594.05490921646585479873288563850229663278184210621062833888
692869292022924경상남도김해시회현동48482504825052000122966639.9745081808.5155533847.509939312561844102588787469146551953393993410791109832692
692969302022925경상남도김해시회현동48482504825052000111866040.5623661645.2549593500.182675263519829931846917678472342432828752921993846617
693069312022926경상남도김해시회현동4848250482505200099365365.5486921461.4029383109.04837216403689735690832620414290493605638927927792665
693169322022927경상남도김해시회현동48482504825052000119706463.9309421760.5669463745.502112234447741795722895832611367537700775103112471099937
693269332022928경상남도김해시회현동48482504825052000108355851.0185261593.6293113390.352162243563763781717926634444341542725793910959749745
693369342022929경상남도김해시회현동4848250482505200061673330.247462907.0523271929.700211148366364418338443414292152439375440472566484456
693469352022930경상남도김해시회현동4848250482505200063383422.589333932.2032831983.207384164374368402370451424305169415400444513611505423