Overview

Dataset statistics

Number of variables28
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory257.3 B

Variable types

Text1
Numeric27

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
총계 여 has unique valuesUnique
총계 has 1 (4.8%) zerosZeros
총계 남 has 2 (9.5%) zerosZeros
총계 여 has 1 (4.8%) zerosZeros
중구 계 has 2 (9.5%) zerosZeros
중구 남 has 2 (9.5%) zerosZeros
중구 여 has 4 (19.0%) zerosZeros
동구 계 has 3 (14.3%) zerosZeros
동구 남 has 3 (14.3%) zerosZeros
동구 여 has 4 (19.0%) zerosZeros
서구 계 has 2 (9.5%) zerosZeros
서구 남 has 3 (14.3%) zerosZeros
서구 여 has 2 (9.5%) zerosZeros
남구 계 has 3 (14.3%) zerosZeros
남구 남 has 4 (19.0%) zerosZeros
남구 여 has 3 (14.3%) zerosZeros
북구 계 has 2 (9.5%) zerosZeros
북구 남 has 4 (19.0%) zerosZeros
북구 여 has 2 (9.5%) zerosZeros
수성구 계 has 2 (9.5%) zerosZeros
수성구 남 has 4 (19.0%) zerosZeros
수성구 여 has 2 (9.5%) zerosZeros
달서구 계 has 4 (19.0%) zerosZeros
달서구 남 has 4 (19.0%) zerosZeros
달서구 여 has 5 (23.8%) zerosZeros
달성군 계 has 4 (19.0%) zerosZeros
달성군 남 has 5 (23.8%) zerosZeros
달성군 여 has 4 (19.0%) zerosZeros

Reproduction

Analysis started2024-04-19 06:51:25.558398
Analysis finished2024-04-19 06:51:25.770858
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-19T15:51:25.877824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8095238
Min length4

Characters and Unicode

Total characters122
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row0∼4세
2nd row5∼9세
3rd row10∼14세
4th row15∼19세
5th row20∼24세
ValueCountFrequency (%)
0∼4세 1
 
4.8%
55∼59세 1
 
4.8%
95∼99세 1
 
4.8%
90∼94세 1
 
4.8%
85∼89세 1
 
4.8%
80∼84세 1
 
4.8%
75∼79세 1
 
4.8%
70∼74세 1
 
4.8%
65∼69세 1
 
4.8%
60∼64세 1
 
4.8%
Other values (11) 11
52.4%
2024-04-19T15:51:26.192651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
17.2%
20
16.4%
4 14
11.5%
5 14
11.5%
9 14
11.5%
0 12
9.8%
1 5
 
4.1%
2 4
 
3.3%
3 4
 
3.3%
6 4
 
3.3%
Other values (4) 10
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
64.8%
Other Letter 23
 
18.9%
Math Symbol 20
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 14
17.7%
5 14
17.7%
9 14
17.7%
0 12
15.2%
1 5
 
6.3%
2 4
 
5.1%
3 4
 
5.1%
6 4
 
5.1%
7 4
 
5.1%
8 4
 
5.1%
Other Letter
ValueCountFrequency (%)
21
91.3%
1
 
4.3%
1
 
4.3%
Math Symbol
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99
81.1%
Hangul 23
 
18.9%

Most frequent character per script

Common
ValueCountFrequency (%)
20
20.2%
4 14
14.1%
5 14
14.1%
9 14
14.1%
0 12
12.1%
1 5
 
5.1%
2 4
 
4.0%
3 4
 
4.0%
6 4
 
4.0%
7 4
 
4.0%
Hangul
ValueCountFrequency (%)
21
91.3%
1
 
4.3%
1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
64.8%
Hangul 23
 
18.9%
Math Operators 20
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
91.3%
1
 
4.3%
1
 
4.3%
Math Operators
ValueCountFrequency (%)
20
100.0%
ASCII
ValueCountFrequency (%)
4 14
17.7%
5 14
17.7%
9 14
17.7%
0 12
15.2%
1 5
 
6.3%
2 4
 
5.1%
3 4
 
5.1%
6 4
 
5.1%
7 4
 
5.1%
8 4
 
5.1%

총계
Real number (ℝ)

UNIQUE  ZEROS 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1244.8095
Minimum0
Maximum6291
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:26.300010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q149
median340
Q31654
95-th percentile4571
Maximum6291
Range6291
Interquartile range (IQR)1605

Descriptive statistics

Standard deviation1796.4304
Coefficient of variation (CV)1.4431368
Kurtosis2.1560822
Mean1244.8095
Median Absolute Deviation (MAD)337
Skewness1.6985096
Sum26141
Variance3227162.3
MonotonicityNot monotonic
2024-04-19T15:51:26.405786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
340 1
 
4.8%
206 1
 
4.8%
0 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
14 1
 
4.8%
34 1
 
4.8%
49 1
 
4.8%
86 1
 
4.8%
192 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
2 1
4.8%
3 1
4.8%
14 1
4.8%
34 1
4.8%
49 1
4.8%
86 1
4.8%
135 1
4.8%
192 1
4.8%
206 1
4.8%
ValueCountFrequency (%)
6291 1
4.8%
4571 1
4.8%
4160 1
4.8%
3001 1
4.8%
1998 1
4.8%
1654 1
4.8%
1320 1
4.8%
1016 1
4.8%
576 1
4.8%
493 1
4.8%

총계 남
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.2381
Minimum0
Maximum3714
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:26.516165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median143
Q3837
95-th percentile2970
Maximum3714
Range3714
Interquartile range (IQR)813

Descriptive statistics

Standard deviation1091.9634
Coefficient of variation (CV)1.5245815
Kurtosis2.0559159
Mean716.2381
Median Absolute Deviation (MAD)142
Skewness1.7224416
Sum15041
Variance1192384
MonotonicityNot monotonic
2024-04-19T15:51:26.624302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
143 1
 
4.8%
455 1
 
4.8%
1 1
 
4.8%
7 1
 
4.8%
16 1
 
4.8%
24 1
 
4.8%
45 1
 
4.8%
99 1
 
4.8%
232 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
1 1
4.8%
7 1
4.8%
16 1
4.8%
24 1
4.8%
45 1
4.8%
68 1
4.8%
98 1
4.8%
99 1
4.8%
143 1
4.8%
ValueCountFrequency (%)
3714 1
4.8%
2970 1
4.8%
2229 1
4.8%
2017 1
4.8%
1236 1
4.8%
837 1
4.8%
614 1
4.8%
455 1
4.8%
236 1
4.8%
232 1
4.8%

총계 여
Real number (ℝ)

UNIQUE  ZEROS 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean528.57143
Minimum0
Maximum2577
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:26.750932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q125
median197
Q3762
95-th percentile1931
Maximum2577
Range2577
Interquartile range (IQR)737

Descriptive statistics

Standard deviation719.2119
Coefficient of variation (CV)1.3606712
Kurtosis2.4179254
Mean528.57143
Median Absolute Deviation (MAD)194
Skewness1.7005515
Sum11100
Variance517265.76
MonotonicityNot monotonic
2024-04-19T15:51:26.883052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
197 1
 
4.8%
108 1
 
4.8%
0 1
 
4.8%
3 1
 
4.8%
1 1
 
4.8%
7 1
 
4.8%
18 1
 
4.8%
25 1
 
4.8%
41 1
 
4.8%
93 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1 1
4.8%
3 1
4.8%
7 1
4.8%
18 1
4.8%
25 1
4.8%
41 1
4.8%
67 1
4.8%
93 1
4.8%
108 1
4.8%
ValueCountFrequency (%)
2577 1
4.8%
1931 1
4.8%
1601 1
4.8%
984 1
4.8%
817 1
4.8%
762 1
4.8%
706 1
4.8%
561 1
4.8%
340 1
4.8%
261 1
4.8%

중구 계
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.380952
Minimum0
Maximum139
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:26.976529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median21
Q363
95-th percentile127
Maximum139
Range139
Interquartile range (IQR)54

Descriptive statistics

Standard deviation41.236484
Coefficient of variation (CV)1.0743997
Kurtosis0.7638283
Mean38.380952
Median Absolute Deviation (MAD)20
Skewness1.2140579
Sum806
Variance1700.4476
MonotonicityNot monotonic
2024-04-19T15:51:27.096003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2
 
9.5%
10 2
 
9.5%
16 1
 
4.8%
9 1
 
4.8%
1 1
 
4.8%
3 1
 
4.8%
13 1
 
4.8%
21 1
 
4.8%
35 1
 
4.8%
65 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 2
9.5%
1 1
4.8%
3 1
4.8%
5 1
4.8%
9 1
4.8%
10 2
9.5%
13 1
4.8%
16 1
4.8%
21 1
4.8%
23 1
4.8%
ValueCountFrequency (%)
139 1
4.8%
127 1
4.8%
83 1
4.8%
75 1
4.8%
65 1
4.8%
63 1
4.8%
57 1
4.8%
51 1
4.8%
35 1
4.8%
23 1
4.8%

중구 남
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.904762
Minimum0
Maximum61
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:27.226602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q329
95-th percentile60
Maximum61
Range61
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.333662
Coefficient of variation (CV)1.0798056
Kurtosis0.2113575
Mean17.904762
Median Absolute Deviation (MAD)7
Skewness1.1035899
Sum376
Variance373.79048
MonotonicityNot monotonic
2024-04-19T15:51:27.355375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 3
14.3%
3 2
 
9.5%
0 2
 
9.5%
41 1
 
4.8%
1 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
11 1
 
4.8%
31 1
 
4.8%
29 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 2
9.5%
1 1
 
4.8%
2 1
 
4.8%
3 2
9.5%
5 3
14.3%
6 1
 
4.8%
7 1
 
4.8%
11 1
 
4.8%
15 1
 
4.8%
25 1
 
4.8%
ValueCountFrequency (%)
61 1
4.8%
60 1
4.8%
41 1
4.8%
39 1
4.8%
31 1
4.8%
29 1
4.8%
27 1
4.8%
25 1
4.8%
15 1
4.8%
11 1
4.8%

중구 여
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.47619
Minimum0
Maximum78
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:27.475824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q334
95-th percentile67
Maximum78
Range78
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.243244
Coefficient of variation (CV)1.086298
Kurtosis1.2158202
Mean20.47619
Median Absolute Deviation (MAD)11
Skewness1.2892818
Sum430
Variance494.7619
MonotonicityNot monotonic
2024-04-19T15:51:27.583711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4
19.0%
8 3
14.3%
34 2
 
9.5%
11 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
36 1
 
4.8%
78 1
 
4.8%
67 1
 
4.8%
44 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 4
19.0%
2 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
8 3
14.3%
11 1
 
4.8%
14 1
 
4.8%
24 1
 
4.8%
26 1
 
4.8%
28 1
 
4.8%
ValueCountFrequency (%)
78 1
4.8%
67 1
4.8%
44 1
4.8%
36 1
4.8%
34 2
9.5%
28 1
4.8%
26 1
4.8%
24 1
4.8%
14 1
4.8%
11 1
4.8%

동구 계
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.714286
Minimum0
Maximum330
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:27.687868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median26
Q3152
95-th percentile229
Maximum330
Range330
Interquartile range (IQR)143

Descriptive statistics

Standard deviation97.461861
Coefficient of variation (CV)1.1642202
Kurtosis0.19516321
Mean83.714286
Median Absolute Deviation (MAD)26
Skewness1.0506249
Sum1758
Variance9498.8143
MonotonicityNot monotonic
2024-04-19T15:51:27.795650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 3
14.3%
9 2
 
9.5%
130 2
 
9.5%
26 1
 
4.8%
152 1
 
4.8%
1 1
 
4.8%
4 1
 
4.8%
33 1
 
4.8%
71 1
 
4.8%
181 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 3
14.3%
1 1
 
4.8%
4 1
 
4.8%
9 2
9.5%
17 1
 
4.8%
20 1
 
4.8%
21 1
 
4.8%
26 1
 
4.8%
33 1
 
4.8%
71 1
 
4.8%
ValueCountFrequency (%)
330 1
4.8%
229 1
4.8%
200 1
4.8%
195 1
4.8%
181 1
4.8%
152 1
4.8%
130 2
9.5%
71 1
4.8%
33 1
4.8%
26 1
4.8%

동구 남
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.571429
Minimum0
Maximum101
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:27.895157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q358
95-th percentile81
Maximum101
Range101
Interquartile range (IQR)56

Descriptive statistics

Standard deviation33.147506
Coefficient of variation (CV)1.0842642
Kurtosis-1.0105951
Mean30.571429
Median Absolute Deviation (MAD)12
Skewness0.7020833
Sum642
Variance1098.7571
MonotonicityNot monotonic
2024-04-19T15:51:27.992834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3
14.3%
65 2
 
9.5%
57 2
 
9.5%
2 2
 
9.5%
58 1
 
4.8%
1 1
 
4.8%
4 1
 
4.8%
15 1
 
4.8%
28 1
 
4.8%
12 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 3
14.3%
1 1
 
4.8%
2 2
9.5%
4 1
 
4.8%
6 1
 
4.8%
7 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
15 1
 
4.8%
28 1
 
4.8%
ValueCountFrequency (%)
101 1
4.8%
81 1
4.8%
72 1
4.8%
65 2
9.5%
58 1
4.8%
57 2
9.5%
28 1
4.8%
15 1
4.8%
12 1
4.8%
9 1
4.8%

동구 여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.142857
Minimum0
Maximum229
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:28.086342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median14
Q387
95-th percentile157
Maximum229
Range229
Interquartile range (IQR)82

Descriptive statistics

Standard deviation65.441795
Coefficient of variation (CV)1.2314316
Kurtosis1.0212076
Mean53.142857
Median Absolute Deviation (MAD)14
Skewness1.2921607
Sum1116
Variance4282.6286
MonotonicityNot monotonic
2024-04-19T15:51:28.173590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
19.0%
14 2
 
9.5%
12 1
 
4.8%
2 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
18 1
 
4.8%
43 1
 
4.8%
72 1
 
4.8%
87 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 4
19.0%
2 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
10 1
 
4.8%
12 1
 
4.8%
14 2
9.5%
18 1
 
4.8%
43 1
 
4.8%
72 1
 
4.8%
ValueCountFrequency (%)
229 1
4.8%
157 1
4.8%
143 1
4.8%
116 1
4.8%
114 1
4.8%
87 1
4.8%
73 1
4.8%
72 1
4.8%
43 1
4.8%
18 1
4.8%

서구 계
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.47619
Minimum0
Maximum511
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:28.273329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q3216
95-th percentile424
Maximum511
Range511
Interquartile range (IQR)212

Descriptive statistics

Standard deviation157.02822
Coefficient of variation (CV)1.325399
Kurtosis0.69080836
Mean118.47619
Median Absolute Deviation (MAD)22
Skewness1.306185
Sum2488
Variance24657.862
MonotonicityNot monotonic
2024-04-19T15:51:28.387515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2
 
9.5%
2 2
 
9.5%
34 1
 
4.8%
24 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
22 1
 
4.8%
46 1
 
4.8%
147 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 2
9.5%
2 2
9.5%
3 1
4.8%
4 1
4.8%
5 1
4.8%
17 1
4.8%
21 1
4.8%
22 1
4.8%
24 1
4.8%
34 1
4.8%
ValueCountFrequency (%)
511 1
4.8%
424 1
4.8%
351 1
4.8%
259 1
4.8%
241 1
4.8%
216 1
4.8%
159 1
4.8%
147 1
4.8%
46 1
4.8%
34 1
4.8%

서구 남
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.333333
Minimum0
Maximum271
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:28.502552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q3121
95-th percentile265
Maximum271
Range271
Interquartile range (IQR)119

Descriptive statistics

Standard deviation91.838627
Coefficient of variation (CV)1.4056933
Kurtosis0.62876822
Mean65.333333
Median Absolute Deviation (MAD)13
Skewness1.3826614
Sum1372
Variance8434.3333
MonotonicityNot monotonic
2024-04-19T15:51:28.604558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3
 
14.3%
1 2
 
9.5%
15 1
 
4.8%
64 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
23 1
 
4.8%
62 1
 
4.8%
121 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 3
14.3%
1 2
9.5%
2 1
 
4.8%
3 1
 
4.8%
7 1
 
4.8%
9 1
 
4.8%
11 1
 
4.8%
13 1
 
4.8%
15 1
 
4.8%
23 1
 
4.8%
ValueCountFrequency (%)
271 1
4.8%
265 1
4.8%
230 1
4.8%
152 1
4.8%
122 1
4.8%
121 1
4.8%
64 1
4.8%
62 1
4.8%
23 1
4.8%
15 1
4.8%

서구 여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.142857
Minimum0
Maximum240
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:28.703105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q395
95-th percentile159
Maximum240
Range240
Interquartile range (IQR)93

Descriptive statistics

Standard deviation67.280967
Coefficient of variation (CV)1.2660397
Kurtosis1.3243642
Mean53.142857
Median Absolute Deviation (MAD)14
Skewness1.3235886
Sum1116
Variance4526.7286
MonotonicityNot monotonic
2024-04-19T15:51:28.800985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
95 2
 
9.5%
0 2
 
9.5%
2 2
 
9.5%
1 2
 
9.5%
11 1
 
4.8%
3 1
 
4.8%
15 1
 
4.8%
23 1
 
4.8%
85 1
 
4.8%
19 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 2
9.5%
1 2
9.5%
2 2
9.5%
3 1
4.8%
6 1
4.8%
11 1
4.8%
12 1
4.8%
15 1
4.8%
19 1
4.8%
23 1
4.8%
ValueCountFrequency (%)
240 1
4.8%
159 1
4.8%
121 1
4.8%
119 1
4.8%
107 1
4.8%
95 2
9.5%
85 1
4.8%
23 1
4.8%
19 1
4.8%
15 1
4.8%

남구 계
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.238095
Minimum0
Maximum204
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:28.900567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median19
Q391
95-th percentile138
Maximum204
Range204
Interquartile range (IQR)83

Descriptive statistics

Standard deviation58.079174
Coefficient of variation (CV)1.1118165
Kurtosis0.62185257
Mean52.238095
Median Absolute Deviation (MAD)19
Skewness1.1348631
Sum1097
Variance3373.1905
MonotonicityNot monotonic
2024-04-19T15:51:29.012580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 3
14.3%
97 2
 
9.5%
19 2
 
9.5%
91 1
 
4.8%
2 1
 
4.8%
6 1
 
4.8%
8 1
 
4.8%
13 1
 
4.8%
45 1
 
4.8%
11 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 3
14.3%
2 1
 
4.8%
6 1
 
4.8%
8 1
 
4.8%
11 1
 
4.8%
13 1
 
4.8%
14 1
 
4.8%
19 2
9.5%
28 1
 
4.8%
45 1
 
4.8%
ValueCountFrequency (%)
204 1
4.8%
138 1
4.8%
137 1
4.8%
97 2
9.5%
91 1
4.8%
86 1
4.8%
82 1
4.8%
45 1
4.8%
28 1
4.8%
19 2
9.5%

남구 남
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.47619
Minimum0
Maximum56
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:29.118697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q338
95-th percentile44
Maximum56
Range56
Interquartile range (IQR)34

Descriptive statistics

Standard deviation19.088266
Coefficient of variation (CV)0.93221765
Kurtosis-1.5645024
Mean20.47619
Median Absolute Deviation (MAD)10
Skewness0.38159895
Sum430
Variance364.3619
MonotonicityNot monotonic
2024-04-19T15:51:29.211098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 4
19.0%
4 3
14.3%
42 3
14.3%
7 2
9.5%
38 2
9.5%
9 1
 
4.8%
10 1
 
4.8%
56 1
 
4.8%
44 1
 
4.8%
36 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
0 4
19.0%
4 3
14.3%
7 2
9.5%
9 1
 
4.8%
10 1
 
4.8%
16 1
 
4.8%
31 1
 
4.8%
36 1
 
4.8%
38 2
9.5%
42 3
14.3%
ValueCountFrequency (%)
56 1
 
4.8%
44 1
 
4.8%
42 3
14.3%
38 2
9.5%
36 1
 
4.8%
31 1
 
4.8%
16 1
 
4.8%
10 1
 
4.8%
9 1
 
4.8%
7 2
9.5%

남구 여
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.761905
Minimum0
Maximum148
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:29.307512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q353
95-th percentile99
Maximum148
Range148
Interquartile range (IQR)50

Descriptive statistics

Standard deviation40.682803
Coefficient of variation (CV)1.2808679
Kurtosis2.072453
Mean31.761905
Median Absolute Deviation (MAD)10
Skewness1.5568325
Sum667
Variance1655.0905
MonotonicityNot monotonic
2024-04-19T15:51:29.401835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3
14.3%
7 2
 
9.5%
2 2
 
9.5%
55 2
 
9.5%
148 1
 
4.8%
94 1
 
4.8%
50 1
 
4.8%
40 1
 
4.8%
10 1
 
4.8%
53 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 3
14.3%
2 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
7 2
9.5%
10 1
 
4.8%
14 1
 
4.8%
18 1
 
4.8%
40 1
 
4.8%
ValueCountFrequency (%)
148 1
4.8%
99 1
4.8%
94 1
4.8%
55 2
9.5%
53 1
4.8%
50 1
4.8%
40 1
4.8%
18 1
4.8%
14 1
4.8%
10 1
4.8%

북구 계
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.04762
Minimum0
Maximum1205
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:29.802905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median78
Q3238
95-th percentile1112
Maximum1205
Range1205
Interquartile range (IQR)233

Descriptive statistics

Standard deviation354.9695
Coefficient of variation (CV)1.5634143
Kurtosis3.3073167
Mean227.04762
Median Absolute Deviation (MAD)77
Skewness2.0130283
Sum4768
Variance126003.35
MonotonicityNot monotonic
2024-04-19T15:51:29.960031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2
 
9.5%
1 2
 
9.5%
78 1
 
4.8%
27 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
12 1
 
4.8%
30 1
 
4.8%
82 1
 
4.8%
147 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 2
9.5%
1 2
9.5%
3 1
4.8%
5 1
4.8%
12 1
4.8%
20 1
4.8%
27 1
4.8%
30 1
4.8%
78 1
4.8%
82 1
4.8%
ValueCountFrequency (%)
1205 1
4.8%
1112 1
4.8%
699 1
4.8%
406 1
4.8%
277 1
4.8%
238 1
4.8%
225 1
4.8%
200 1
4.8%
147 1
4.8%
82 1
4.8%

북구 남
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.85714
Minimum0
Maximum568
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:30.067186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median32
Q395
95-th percentile548
Maximum568
Range568
Interquartile range (IQR)93

Descriptive statistics

Standard deviation178.53271
Coefficient of variation (CV)1.5680414
Kurtosis2.2771647
Mean113.85714
Median Absolute Deviation (MAD)32
Skewness1.8311092
Sum2391
Variance31873.929
MonotonicityNot monotonic
2024-04-19T15:51:30.161613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
19.0%
32 1
 
4.8%
85 1
 
4.8%
1 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
17 1
 
4.8%
37 1
 
4.8%
64 1
 
4.8%
95 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 4
19.0%
1 1
 
4.8%
2 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
16 1
 
4.8%
17 1
 
4.8%
32 1
 
4.8%
37 1
 
4.8%
64 1
 
4.8%
ValueCountFrequency (%)
568 1
4.8%
548 1
4.8%
403 1
4.8%
259 1
4.8%
159 1
4.8%
95 1
4.8%
93 1
4.8%
85 1
4.8%
64 1
4.8%
37 1
4.8%

북구 여
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.19048
Minimum0
Maximum637
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:30.265869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median45
Q3130
95-th percentile564
Maximum637
Range637
Interquartile range (IQR)127

Descriptive statistics

Standard deviation178.98257
Coefficient of variation (CV)1.5812512
Kurtosis4.3322152
Mean113.19048
Median Absolute Deviation (MAD)44
Skewness2.1990182
Sum2377
Variance32034.762
MonotonicityNot monotonic
2024-04-19T15:51:30.381693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2
 
9.5%
1 2
 
9.5%
46 1
 
4.8%
11 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
13 1
 
4.8%
45 1
 
4.8%
83 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 2
9.5%
1 2
9.5%
2 1
4.8%
3 1
4.8%
5 1
4.8%
11 1
4.8%
13 1
4.8%
15 1
4.8%
45 1
4.8%
46 1
4.8%
ValueCountFrequency (%)
637 1
4.8%
564 1
4.8%
296 1
4.8%
147 1
4.8%
145 1
4.8%
130 1
4.8%
118 1
4.8%
115 1
4.8%
83 1
4.8%
46 1
4.8%

수성구 계
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.47619
Minimum0
Maximum311
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:30.501806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q3120
95-th percentile245
Maximum311
Range311
Interquartile range (IQR)116

Descriptive statistics

Standard deviation88.468988
Coefficient of variation (CV)1.2553032
Kurtosis1.5705545
Mean70.47619
Median Absolute Deviation (MAD)20
Skewness1.4469896
Sum1480
Variance7826.7619
MonotonicityNot monotonic
2024-04-19T15:51:30.610547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20 2
 
9.5%
0 2
 
9.5%
18 1
 
4.8%
1 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
11 1
 
4.8%
21 1
 
4.8%
52 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 2
9.5%
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
11 1
4.8%
16 1
4.8%
18 1
4.8%
20 2
9.5%
21 1
4.8%
ValueCountFrequency (%)
311 1
4.8%
245 1
4.8%
172 1
4.8%
140 1
4.8%
129 1
4.8%
120 1
4.8%
107 1
4.8%
88 1
4.8%
52 1
4.8%
21 1
4.8%

수성구 남
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.333333
Minimum0
Maximum111
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:30.720067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q352
95-th percentile99
Maximum111
Range111
Interquartile range (IQR)50

Descriptive statistics

Standard deviation35.12027
Coefficient of variation (CV)1.1578111
Kurtosis-0.066206769
Mean30.333333
Median Absolute Deviation (MAD)10
Skewness1.0369439
Sum637
Variance1233.4333
MonotonicityNot monotonic
2024-04-19T15:51:30.817063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4
19.0%
7 2
 
9.5%
10 2
 
9.5%
2 2
 
9.5%
48 1
 
4.8%
99 1
 
4.8%
111 1
 
4.8%
72 1
 
4.8%
69 1
 
4.8%
52 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 4
19.0%
2 2
9.5%
6 1
 
4.8%
7 2
9.5%
10 2
9.5%
11 1
 
4.8%
26 1
 
4.8%
41 1
 
4.8%
48 1
 
4.8%
52 1
 
4.8%
ValueCountFrequency (%)
111 1
4.8%
99 1
4.8%
72 1
4.8%
69 1
4.8%
64 1
4.8%
52 1
4.8%
48 1
4.8%
41 1
4.8%
26 1
4.8%
11 1
4.8%

수성구 여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.142857
Minimum0
Maximum212
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:30.914726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q355
95-th percentile134
Maximum212
Range212
Interquartile range (IQR)53

Descriptive statistics

Standard deviation55.842892
Coefficient of variation (CV)1.3911041
Kurtosis3.5788219
Mean40.142857
Median Absolute Deviation (MAD)13
Skewness1.9000074
Sum843
Variance3118.4286
MonotonicityNot monotonic
2024-04-19T15:51:31.015171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
13 2
 
9.5%
0 2
 
9.5%
2 2
 
9.5%
1 2
 
9.5%
8 1
 
4.8%
5 1
 
4.8%
10 1
 
4.8%
26 1
 
4.8%
47 1
 
4.8%
65 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 2
9.5%
1 2
9.5%
2 2
9.5%
5 1
4.8%
6 1
4.8%
8 1
4.8%
10 1
4.8%
13 2
9.5%
26 1
4.8%
47 1
4.8%
ValueCountFrequency (%)
212 1
4.8%
134 1
4.8%
124 1
4.8%
68 1
4.8%
65 1
4.8%
55 1
4.8%
51 1
4.8%
47 1
4.8%
26 1
4.8%
13 2
9.5%

달서구 계
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.95238
Minimum0
Maximum2328
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:31.116621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median101
Q3465
95-th percentile1625
Maximum2328
Range2328
Interquartile range (IQR)458

Descriptive statistics

Standard deviation667.83677
Coefficient of variation (CV)1.5902678
Kurtosis2.5398855
Mean419.95238
Median Absolute Deviation (MAD)101
Skewness1.8344674
Sum8819
Variance446005.95
MonotonicityNot monotonic
2024-04-19T15:51:31.214260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
19.0%
31 2
 
9.5%
101 1
 
4.8%
305 1
 
4.8%
1 1
 
4.8%
7 1
 
4.8%
21 1
 
4.8%
108 1
 
4.8%
198 1
 
4.8%
465 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 4
19.0%
1 1
 
4.8%
7 1
 
4.8%
21 1
 
4.8%
31 2
9.5%
62 1
 
4.8%
101 1
 
4.8%
108 1
 
4.8%
198 1
 
4.8%
201 1
 
4.8%
ValueCountFrequency (%)
2328 1
4.8%
1625 1
4.8%
1608 1
4.8%
1050 1
4.8%
677 1
4.8%
465 1
4.8%
305 1
4.8%
201 1
4.8%
198 1
4.8%
108 1
4.8%

달서구 남
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.28571
Minimum0
Maximum1533
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:31.351182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median47
Q3259
95-th percentile1124
Maximum1533
Range1533
Interquartile range (IQR)254

Descriptive statistics

Standard deviation443.69563
Coefficient of variation (CV)1.666239
Kurtosis2.5247329
Mean266.28571
Median Absolute Deviation (MAD)47
Skewness1.8471912
Sum5592
Variance196865.81
MonotonicityNot monotonic
2024-04-19T15:51:31.457052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
19.0%
47 2
 
9.5%
26 1
 
4.8%
1 1
 
4.8%
5 1
 
4.8%
14 1
 
4.8%
18 1
 
4.8%
94 1
 
4.8%
152 1
 
4.8%
259 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 4
19.0%
1 1
 
4.8%
5 1
 
4.8%
14 1
 
4.8%
17 1
 
4.8%
18 1
 
4.8%
26 1
 
4.8%
47 2
9.5%
88 1
 
4.8%
94 1
 
4.8%
ValueCountFrequency (%)
1533 1
4.8%
1124 1
4.8%
963 1
4.8%
757 1
4.8%
447 1
4.8%
259 1
4.8%
152 1
4.8%
94 1
4.8%
88 1
4.8%
47 2
9.5%

달서구 여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.66667
Minimum0
Maximum795
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:31.574960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median54
Q3206
95-th percentile662
Maximum795
Range795
Interquartile range (IQR)204

Descriptive statistics

Standard deviation228.60147
Coefficient of variation (CV)1.4876452
Kurtosis2.7534477
Mean153.66667
Median Absolute Deviation (MAD)54
Skewness1.8530552
Sum3227
Variance52258.633
MonotonicityNot monotonic
2024-04-19T15:51:31.679145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
54 1
 
4.8%
36 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
13 1
 
4.8%
61 1
 
4.8%
104 1
 
4.8%
153 1
 
4.8%
206 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
2 1
 
4.8%
7 1
 
4.8%
13 1
 
4.8%
14 1
 
4.8%
36 1
 
4.8%
54 1
 
4.8%
61 1
 
4.8%
104 1
 
4.8%
113 1
 
4.8%
ValueCountFrequency (%)
795 1
4.8%
662 1
4.8%
484 1
4.8%
293 1
4.8%
230 1
4.8%
206 1
4.8%
153 1
4.8%
113 1
4.8%
104 1
4.8%
61 1
4.8%

달성군 계
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.52381
Minimum0
Maximum1356
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:31.788620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median31
Q3306
95-th percentile1101
Maximum1356
Range1356
Interquartile range (IQR)301

Descriptive statistics

Standard deviation385.09994
Coefficient of variation (CV)1.6420505
Kurtosis3.330631
Mean234.52381
Median Absolute Deviation (MAD)31
Skewness1.9765831
Sum4925
Variance148301.96
MonotonicityNot monotonic
2024-04-19T15:51:31.903327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 4
19.0%
54 2
 
9.5%
5 2
 
9.5%
306 1
 
4.8%
1 1
 
4.8%
15 1
 
4.8%
150 1
 
4.8%
203 1
 
4.8%
402 1
 
4.8%
31 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 4
19.0%
1 1
 
4.8%
5 2
9.5%
10 1
 
4.8%
15 1
 
4.8%
25 1
 
4.8%
31 1
 
4.8%
54 2
9.5%
150 1
 
4.8%
203 1
 
4.8%
ValueCountFrequency (%)
1356 1
4.8%
1101 1
4.8%
690 1
4.8%
517 1
4.8%
402 1
4.8%
306 1
4.8%
203 1
4.8%
150 1
4.8%
54 2
9.5%
31 1
4.8%

달성군 남
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.47619
Minimum0
Maximum1045
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:32.028256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q3174
95-th percentile891
Maximum1045
Range1045
Interquartile range (IQR)172

Descriptive statistics

Standard deviation304.62134
Coefficient of variation (CV)1.7764644
Kurtosis3.4125114
Mean171.47619
Median Absolute Deviation (MAD)11
Skewness2.0424681
Sum3601
Variance92794.162
MonotonicityNot monotonic
2024-04-19T15:51:32.140239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
23.8%
8 2
 
9.5%
21 1
 
4.8%
174 1
 
4.8%
4 1
 
4.8%
2 1
 
4.8%
29 1
 
4.8%
67 1
 
4.8%
101 1
 
4.8%
285 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 5
23.8%
2 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
8 2
 
9.5%
11 1
 
4.8%
21 1
 
4.8%
29 1
 
4.8%
67 1
 
4.8%
101 1
 
4.8%
ValueCountFrequency (%)
1045 1
4.8%
891 1
4.8%
543 1
4.8%
406 1
4.8%
285 1
4.8%
174 1
4.8%
101 1
4.8%
67 1
4.8%
29 1
4.8%
21 1
4.8%

달성군 여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.047619
Minimum0
Maximum311
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-19T15:51:32.236118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median20
Q3111
95-th percentile210
Maximum311
Range311
Interquartile range (IQR)110

Descriptive statistics

Standard deviation84.309238
Coefficient of variation (CV)1.3372311
Kurtosis2.4715202
Mean63.047619
Median Absolute Deviation (MAD)20
Skewness1.5984165
Sum1324
Variance7108.0476
MonotonicityNot monotonic
2024-04-19T15:51:32.330005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
19.0%
1 2
 
9.5%
33 1
 
4.8%
20 1
 
4.8%
3 1
 
4.8%
7 1
 
4.8%
25 1
 
4.8%
83 1
 
4.8%
102 1
 
4.8%
132 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 4
19.0%
1 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
17 1
 
4.8%
20 1
 
4.8%
25 1
 
4.8%
33 1
 
4.8%
83 1
 
4.8%
ValueCountFrequency (%)
311 1
4.8%
210 1
4.8%
147 1
4.8%
132 1
4.8%
117 1
4.8%
111 1
4.8%
102 1
4.8%
83 1
4.8%
33 1
4.8%
25 1
4.8%

Sample

구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00∼4세340143197165112612143415191147783246207131014754542133
15∼9세2069810896321912241311147727161118108622636311120
210∼14세135686753217710171161991020515161063117141064
315∼19세57623634023158206142191228101823893145207132018811325817
420∼24세4160222919316327362005714324112211913738991205568637172481241625963662517406111
525∼29세6291371425771396178330101229511271240204561481112548564311992122328153379513561045311
630∼34세4571297016011276067229721574242651591384494699403296245111134160811244841101891210
735∼39세300120179848339441958111435123012186365040625914714072681050757293690543147
840∼44세1998123676251252613057732591521078242402771591181206951677447230402285117
945∼49세16548378175729281816511621612195974255225951301075255465259206306174132
구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
1155∼59세1016455561653134130587214762859138531476483884147198941041506783
1260∼64세4932322613511247128434623234531148237455226261084761542925
1365∼69세19299932171433151822715191633017132111103118131587
1470∼74세864541105592752313761275116521147523
1575∼79세4924251028945211844523321752541
1680∼84세3416181358422312642312422110000
1785∼89세1477330110431202101202000101
1890∼94세211110000000000000101000000
1995∼99세303000000202000101000000000
20100세이상000000000000000000000000000