Overview

Dataset statistics

Number of variables27
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory242.2 B

Variable types

Numeric21
Categorical5
Text1

Alerts

년도 has constant value ""Constant
100세 이상 수(명) has constant value ""Constant
95~99세 수(명) is highly imbalanced (81.7%)Imbalance
기본키 has unique valuesUnique
4세 이전 수(명) has 30 (50.0%) zerosZeros
5~9세 수(명) has 19 (31.7%) zerosZeros
10~14세 수(명) has 20 (33.3%) zerosZeros
15~19세 수(명) has 18 (30.0%) zerosZeros
20~24세 수(명) has 5 (8.3%) zerosZeros
25~29세 수(명) has 7 (11.7%) zerosZeros
30~34세 수(명) has 13 (21.7%) zerosZeros
35~39세 수(명) has 9 (15.0%) zerosZeros
40~44세 수(명) has 8 (13.3%) zerosZeros
45~49세 수(명) has 2 (3.3%) zerosZeros
80~84세 수(명) has 2 (3.3%) zerosZeros
85~89세 수(명) has 12 (20.0%) zerosZeros
90~94세 수(명) has 40 (66.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:17:07.760861
Analysis finished2023-12-10 13:17:08.173950
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:08.300788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-10T22:17:08.543661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2020
60 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 60
100.0%

Length

2023-12-10T22:17:08.778335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:08.915435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 60
100.0%

지점
Text

Distinct30
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-10T22:17:09.188758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters840
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0010-0728S-6
2nd rowA-0010-0728S-6
3rd rowA-0010-2583E-7
4th rowA-0010-2583E-7
5th rowA-0010-2626S-6
ValueCountFrequency (%)
a-0010-0728s-6 2
 
3.3%
a-0010-2583e-7 2
 
3.3%
a-0600-0636s-4 2
 
3.3%
a-0600-0547s-4 2
 
3.3%
a-0550-1837s-4 2
 
3.3%
a-0550-1490e-4 2
 
3.3%
a-0500-0701e-8 2
 
3.3%
a-0450-1129e-4 2
 
3.3%
a-0450-0703e-4 2
 
3.3%
a-0450-0557e-4 2
 
3.3%
Other values (20) 40
66.7%
2023-12-10T22:17:09.835809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 194
23.1%
- 180
21.4%
A 60
 
7.1%
4 56
 
6.7%
1 54
 
6.4%
5 50
 
6.0%
2 48
 
5.7%
6 48
 
5.7%
E 40
 
4.8%
7 30
 
3.6%
Other values (4) 80
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
64.3%
Dash Punctuation 180
 
21.4%
Uppercase Letter 120
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
35.9%
4 56
 
10.4%
1 54
 
10.0%
5 50
 
9.3%
2 48
 
8.9%
6 48
 
8.9%
7 30
 
5.6%
8 28
 
5.2%
3 16
 
3.0%
9 16
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 60
50.0%
E 40
33.3%
S 20
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
85.7%
Latin 120
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 194
26.9%
- 180
25.0%
4 56
 
7.8%
1 54
 
7.5%
5 50
 
6.9%
2 48
 
6.7%
6 48
 
6.7%
7 30
 
4.2%
8 28
 
3.9%
3 16
 
2.2%
Latin
ValueCountFrequency (%)
A 60
50.0%
E 40
33.3%
S 20
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
23.1%
- 180
21.4%
A 60
 
7.1%
4 56
 
6.7%
1 54
 
6.4%
5 50
 
6.0%
2 48
 
5.7%
6 48
 
5.7%
E 40
 
4.8%
7 30
 
3.6%
Other values (4) 80
9.5%

집계구 코드
Categorical

Distinct29
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
경상남도 진주시 정촌면
 
4
울산광역시 울주군 언양읍
 
2
충청북도 옥천군 군북면
 
2
경상남도 사천시 축동면
 
2
전라남도 담양군 고서면
 
2
Other values (24)
48 

Length

Max length14
Median length12
Mean length11.966667
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 경주시 건천읍
2nd row경상북도 경주시 건천읍
3rd row충청북도 옥천군 옥천읍
4th row충청북도 옥천군 옥천읍
5th row충청북도 옥천군 군북면

Common Values

ValueCountFrequency (%)
경상남도 진주시 정촌면 4
 
6.7%
울산광역시 울주군 언양읍 2
 
3.3%
충청북도 옥천군 군북면 2
 
3.3%
경상남도 사천시 축동면 2
 
3.3%
전라남도 담양군 고서면 2
 
3.3%
전라남도 담양군 봉산면 2
 
3.3%
경상남도 함양군 함양읍 2
 
3.3%
경상남도 거창군 남상면 2
 
3.3%
경상북도 고령군 성산면 2
 
3.3%
전라남도 무안군 몽탄면 2
 
3.3%
Other values (19) 38
63.3%

Length

2023-12-10T22:17:10.087244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 14
 
7.8%
경상남도 10
 
5.6%
충청북도 8
 
4.4%
전라북도 6
 
3.3%
전라남도 6
 
3.3%
남원시 6
 
3.3%
담양군 4
 
2.2%
고령군 4
 
2.2%
정촌면 4
 
2.2%
경기도 4
 
2.2%
Other values (52) 114
63.3%

성별
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
남자
30 
여자
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남자
2nd row여자
3rd row남자
4th row여자
5th row남자

Common Values

ValueCountFrequency (%)
남자 30
50.0%
여자 30
50.0%

Length

2023-12-10T22:17:10.307366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:10.840968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 30
50.0%
여자 30
50.0%

4세 이전 수(명)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.666667
Minimum0
Maximum376
Zeros30
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:11.036365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q324
95-th percentile67.6
Maximum376
Range376
Interquartile range (IQR)24

Descriptive statistics

Standard deviation64.474056
Coefficient of variation (CV)2.5119762
Kurtosis22.083998
Mean25.666667
Median Absolute Deviation (MAD)5
Skewness4.586201
Sum1540
Variance4156.904
MonotonicityNot monotonic
2023-12-10T22:17:11.473409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 30
50.0%
10 4
 
6.7%
24 3
 
5.0%
36 3
 
5.0%
14 3
 
5.0%
12 2
 
3.3%
22 2
 
3.3%
56 1
 
1.7%
28 1
 
1.7%
20 1
 
1.7%
Other values (10) 10
 
16.7%
ValueCountFrequency (%)
0 30
50.0%
10 4
 
6.7%
12 2
 
3.3%
14 3
 
5.0%
16 1
 
1.7%
20 1
 
1.7%
22 2
 
3.3%
24 3
 
5.0%
26 1
 
1.7%
28 1
 
1.7%
ValueCountFrequency (%)
376 1
 
1.7%
326 1
 
1.7%
98 1
 
1.7%
66 1
 
1.7%
62 1
 
1.7%
56 1
 
1.7%
50 1
 
1.7%
46 1
 
1.7%
40 1
 
1.7%
36 3
5.0%

5~9세 수(명)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.533333
Minimum0
Maximum738
Zeros19
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:11.839234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q334
95-th percentile130.5
Maximum738
Range738
Interquartile range (IQR)34

Descriptive statistics

Standard deviation130.805
Coefficient of variation (CV)2.695158
Kurtosis23.761751
Mean48.533333
Median Absolute Deviation (MAD)14
Skewness4.8453041
Sum2912
Variance17109.948
MonotonicityNot monotonic
2023-12-10T22:17:12.289921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 19
31.7%
10 6
 
10.0%
14 6
 
10.0%
30 3
 
5.0%
26 2
 
3.3%
18 2
 
3.3%
40 2
 
3.3%
20 2
 
3.3%
80 1
 
1.7%
32 1
 
1.7%
Other values (16) 16
26.7%
ValueCountFrequency (%)
0 19
31.7%
10 6
 
10.0%
12 1
 
1.7%
14 6
 
10.0%
16 1
 
1.7%
18 2
 
3.3%
20 2
 
3.3%
22 1
 
1.7%
26 2
 
3.3%
28 1
 
1.7%
ValueCountFrequency (%)
738 1
1.7%
712 1
1.7%
140 1
1.7%
130 1
1.7%
110 1
1.7%
90 1
1.7%
84 1
1.7%
80 1
1.7%
70 1
1.7%
68 1
1.7%

10~14세 수(명)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.066667
Minimum0
Maximum886
Zeros20
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:12.720679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q344
95-th percentile244.3
Maximum886
Range886
Interquartile range (IQR)44

Descriptive statistics

Standard deviation153.269
Coefficient of variation (CV)2.4694253
Kurtosis20.719319
Mean62.066667
Median Absolute Deviation (MAD)14
Skewness4.4367623
Sum3724
Variance23491.385
MonotonicityNot monotonic
2023-12-10T22:17:13.075873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 20
33.3%
14 6
 
10.0%
10 4
 
6.7%
40 3
 
5.0%
38 2
 
3.3%
44 2
 
3.3%
18 2
 
3.3%
28 1
 
1.7%
68 1
 
1.7%
26 1
 
1.7%
Other values (18) 18
30.0%
ValueCountFrequency (%)
0 20
33.3%
10 4
 
6.7%
12 1
 
1.7%
14 6
 
10.0%
18 2
 
3.3%
20 1
 
1.7%
22 1
 
1.7%
26 1
 
1.7%
28 1
 
1.7%
30 1
 
1.7%
ValueCountFrequency (%)
886 1
1.7%
760 1
1.7%
288 1
1.7%
242 1
1.7%
144 1
1.7%
128 1
1.7%
110 1
1.7%
108 1
1.7%
88 1
1.7%
86 1
1.7%

15~19세 수(명)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.1
Minimum0
Maximum1226
Zeros18
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:13.387413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21
Q375
95-th percentile744.9
Maximum1226
Range1226
Interquartile range (IQR)75

Descriptive statistics

Standard deviation241.37808
Coefficient of variation (CV)2.3412035
Kurtosis11.520534
Mean103.1
Median Absolute Deviation (MAD)21
Skewness3.4283667
Sum6186
Variance58263.38
MonotonicityNot monotonic
2023-12-10T22:17:13.577982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 18
30.0%
10 5
 
8.3%
38 3
 
5.0%
12 3
 
5.0%
58 3
 
5.0%
14 3
 
5.0%
48 2
 
3.3%
34 2
 
3.3%
876 1
 
1.7%
88 1
 
1.7%
Other values (19) 19
31.7%
ValueCountFrequency (%)
0 18
30.0%
10 5
 
8.3%
12 3
 
5.0%
14 3
 
5.0%
18 1
 
1.7%
24 1
 
1.7%
30 1
 
1.7%
32 1
 
1.7%
34 2
 
3.3%
38 3
 
5.0%
ValueCountFrequency (%)
1226 1
1.7%
960 1
1.7%
876 1
1.7%
738 1
1.7%
326 1
1.7%
306 1
1.7%
146 1
1.7%
138 1
1.7%
118 1
1.7%
108 1
1.7%

20~24세 수(명)
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.466667
Minimum0
Maximum1004
Zeros5
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:13.811771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median27
Q3104
95-th percentile276.7
Maximum1004
Range1004
Interquartile range (IQR)90

Descriptive statistics

Standard deviation171.05133
Coefficient of variation (CV)1.8300784
Kurtosis16.943788
Mean93.466667
Median Absolute Deviation (MAD)17
Skewness3.8367641
Sum5608
Variance29258.558
MonotonicityNot monotonic
2023-12-10T22:17:14.209748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 5
 
8.3%
10 5
 
8.3%
14 5
 
8.3%
24 4
 
6.7%
40 3
 
5.0%
16 3
 
5.0%
12 3
 
5.0%
58 2
 
3.3%
18 2
 
3.3%
274 1
 
1.7%
Other values (27) 27
45.0%
ValueCountFrequency (%)
0 5
8.3%
10 5
8.3%
12 3
5.0%
14 5
8.3%
16 3
5.0%
18 2
 
3.3%
20 1
 
1.7%
22 1
 
1.7%
24 4
6.7%
26 1
 
1.7%
ValueCountFrequency (%)
1004 1
1.7%
780 1
1.7%
328 1
1.7%
274 1
1.7%
258 1
1.7%
238 1
1.7%
236 1
1.7%
234 1
1.7%
200 1
1.7%
162 1
1.7%

25~29세 수(명)
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.533333
Minimum0
Maximum816
Zeros7
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:14.447444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median40
Q3102
95-th percentile347.5
Maximum816
Range816
Interquartile range (IQR)86

Descriptive statistics

Standard deviation150.82097
Coefficient of variation (CV)1.5623719
Kurtosis10.164162
Mean96.533333
Median Absolute Deviation (MAD)29
Skewness2.9522061
Sum5792
Variance22746.965
MonotonicityNot monotonic
2023-12-10T22:17:14.682177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 7
 
11.7%
12 4
 
6.7%
34 3
 
5.0%
18 3
 
5.0%
16 3
 
5.0%
72 2
 
3.3%
196 2
 
3.3%
10 2
 
3.3%
40 2
 
3.3%
56 2
 
3.3%
Other values (27) 30
50.0%
ValueCountFrequency (%)
0 7
11.7%
10 2
 
3.3%
12 4
6.7%
14 1
 
1.7%
16 3
5.0%
18 3
5.0%
20 1
 
1.7%
22 1
 
1.7%
24 1
 
1.7%
28 2
 
3.3%
ValueCountFrequency (%)
816 1
1.7%
628 1
1.7%
414 1
1.7%
344 1
1.7%
296 1
1.7%
272 1
1.7%
250 1
1.7%
248 1
1.7%
244 1
1.7%
196 2
3.3%

30~34세 수(명)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.633333
Minimum0
Maximum568
Zeros13
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:14.896518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q373.5
95-th percentile241.9
Maximum568
Range568
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation118.01263
Coefficient of variation (CV)1.5812323
Kurtosis8.6306949
Mean74.633333
Median Absolute Deviation (MAD)26
Skewness2.7817404
Sum4478
Variance13926.982
MonotonicityNot monotonic
2023-12-10T22:17:15.113614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 13
21.7%
10 5
 
8.3%
54 3
 
5.0%
28 3
 
5.0%
14 3
 
5.0%
34 2
 
3.3%
46 2
 
3.3%
26 2
 
3.3%
30 2
 
3.3%
84 2
 
3.3%
Other values (22) 23
38.3%
ValueCountFrequency (%)
0 13
21.7%
10 5
 
8.3%
12 1
 
1.7%
14 3
 
5.0%
18 1
 
1.7%
20 1
 
1.7%
26 2
 
3.3%
28 3
 
5.0%
30 2
 
3.3%
34 2
 
3.3%
ValueCountFrequency (%)
568 1
1.7%
556 1
1.7%
354 1
1.7%
236 1
1.7%
224 1
1.7%
212 1
1.7%
204 1
1.7%
198 1
1.7%
166 1
1.7%
158 1
1.7%

35~39세 수(명)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.166667
Minimum0
Maximum896
Zeros9
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:15.411861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median37
Q3103.5
95-th percentile270.8
Maximum896
Range896
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation166.74401
Coefficient of variation (CV)1.8492866
Kurtosis17.321524
Mean90.166667
Median Absolute Deviation (MAD)27
Skewness3.967656
Sum5410
Variance27803.565
MonotonicityNot monotonic
2023-12-10T22:17:15.651036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 9
 
15.0%
10 3
 
5.0%
38 3
 
5.0%
20 3
 
5.0%
32 3
 
5.0%
42 3
 
5.0%
24 2
 
3.3%
36 2
 
3.3%
12 2
 
3.3%
16 2
 
3.3%
Other values (25) 28
46.7%
ValueCountFrequency (%)
0 9
15.0%
10 3
 
5.0%
12 2
 
3.3%
16 2
 
3.3%
18 2
 
3.3%
20 3
 
5.0%
22 1
 
1.7%
24 2
 
3.3%
32 3
 
5.0%
34 1
 
1.7%
ValueCountFrequency (%)
896 1
1.7%
894 1
1.7%
286 1
1.7%
270 1
1.7%
224 1
1.7%
208 1
1.7%
206 1
1.7%
186 1
1.7%
176 1
1.7%
168 1
1.7%

40~44세 수(명)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.66667
Minimum0
Maximum1190
Zeros8
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:15.909854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.5
median52
Q3100
95-th percentile340.1
Maximum1190
Range1190
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation210.71989
Coefficient of variation (CV)1.8870437
Kurtosis18.521005
Mean111.66667
Median Absolute Deviation (MAD)38
Skewness4.1227684
Sum6700
Variance44402.87
MonotonicityNot monotonic
2023-12-10T22:17:16.155780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 8
 
13.3%
54 4
 
6.7%
14 3
 
5.0%
34 3
 
5.0%
62 3
 
5.0%
248 2
 
3.3%
22 2
 
3.3%
50 2
 
3.3%
12 2
 
3.3%
100 2
 
3.3%
Other values (29) 29
48.3%
ValueCountFrequency (%)
0 8
13.3%
10 1
 
1.7%
12 2
 
3.3%
14 3
 
5.0%
16 1
 
1.7%
18 1
 
1.7%
22 2
 
3.3%
24 1
 
1.7%
26 1
 
1.7%
28 1
 
1.7%
ValueCountFrequency (%)
1190 1
1.7%
1090 1
1.7%
342 1
1.7%
340 1
1.7%
250 1
1.7%
248 2
3.3%
240 1
1.7%
230 1
1.7%
208 1
1.7%
168 1
1.7%

45~49세 수(명)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.86667
Minimum0
Maximum1412
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:16.420745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q125.5
median68
Q3140
95-th percentile444.4
Maximum1412
Range1412
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation259.50236
Coefficient of variation (CV)1.7200775
Kurtosis15.850347
Mean150.86667
Median Absolute Deviation (MAD)50
Skewness3.7806682
Sum9052
Variance67341.473
MonotonicityNot monotonic
2023-12-10T22:17:16.686428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
18 4
 
6.7%
36 3
 
5.0%
16 3
 
5.0%
66 2
 
3.3%
52 2
 
3.3%
0 2
 
3.3%
12 2
 
3.3%
20 2
 
3.3%
32 2
 
3.3%
82 2
 
3.3%
Other values (35) 36
60.0%
ValueCountFrequency (%)
0 2
3.3%
12 2
3.3%
14 1
 
1.7%
16 3
5.0%
18 4
6.7%
20 2
3.3%
24 1
 
1.7%
26 1
 
1.7%
30 1
 
1.7%
32 2
3.3%
ValueCountFrequency (%)
1412 1
1.7%
1342 1
1.7%
566 1
1.7%
438 1
1.7%
384 1
1.7%
370 1
1.7%
318 1
1.7%
316 1
1.7%
298 1
1.7%
250 1
1.7%

50~54세 수(명)
Real number (ℝ)

Distinct48
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.73333
Minimum16
Maximum1494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:16.901162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile25.6
Q147.5
median98
Q3231.5
95-th percentile596.3
Maximum1494
Range1478
Interquartile range (IQR)184

Descriptive statistics

Standard deviation281.74384
Coefficient of variation (CV)1.4248677
Kurtosis11.799788
Mean197.73333
Median Absolute Deviation (MAD)55
Skewness3.200913
Sum11864
Variance79379.589
MonotonicityNot monotonic
2023-12-10T22:17:17.199698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
50 3
 
5.0%
52 2
 
3.3%
96 2
 
3.3%
146 2
 
3.3%
26 2
 
3.3%
48 2
 
3.3%
44 2
 
3.3%
28 2
 
3.3%
46 2
 
3.3%
16 2
 
3.3%
Other values (38) 39
65.0%
ValueCountFrequency (%)
16 2
3.3%
18 1
1.7%
26 2
3.3%
28 2
3.3%
30 1
1.7%
32 1
1.7%
34 1
1.7%
42 1
1.7%
44 2
3.3%
46 2
3.3%
ValueCountFrequency (%)
1494 1
1.7%
1396 1
1.7%
716 1
1.7%
590 1
1.7%
518 1
1.7%
502 1
1.7%
418 1
1.7%
378 1
1.7%
370 1
1.7%
356 1
1.7%

55~59세 수(명)
Real number (ℝ)

Distinct47
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.56667
Minimum24
Maximum1454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:17.441472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile28
Q163
median121
Q3271.5
95-th percentile642
Maximum1454
Range1430
Interquartile range (IQR)208.5

Descriptive statistics

Standard deviation281.05252
Coefficient of variation (CV)1.2571307
Kurtosis9.6280901
Mean223.56667
Median Absolute Deviation (MAD)71
Skewness2.861655
Sum13414
Variance78990.521
MonotonicityNot monotonic
2023-12-10T22:17:17.676723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
28 3
 
5.0%
64 3
 
5.0%
50 2
 
3.3%
156 2
 
3.3%
128 2
 
3.3%
42 2
 
3.3%
76 2
 
3.3%
78 2
 
3.3%
102 2
 
3.3%
184 2
 
3.3%
Other values (37) 38
63.3%
ValueCountFrequency (%)
24 1
 
1.7%
28 3
5.0%
34 1
 
1.7%
36 1
 
1.7%
38 1
 
1.7%
42 2
3.3%
48 1
 
1.7%
50 2
3.3%
52 1
 
1.7%
56 1
 
1.7%
ValueCountFrequency (%)
1454 1
1.7%
1382 1
1.7%
718 1
1.7%
638 1
1.7%
618 1
1.7%
504 1
1.7%
494 1
1.7%
472 1
1.7%
464 1
1.7%
440 1
1.7%

60~64세 수(명)
Real number (ℝ)

Distinct48
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232
Minimum36
Maximum1420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:17.906676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile39.9
Q170
median147
Q3303
95-th percentile640.5
Maximum1420
Range1384
Interquartile range (IQR)233

Descriptive statistics

Standard deviation272.22324
Coefficient of variation (CV)1.173376
Kurtosis9.0670825
Mean232
Median Absolute Deviation (MAD)87
Skewness2.7564647
Sum13920
Variance74105.492
MonotonicityNot monotonic
2023-12-10T22:17:18.132638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
86 3
 
5.0%
94 2
 
3.3%
196 2
 
3.3%
178 2
 
3.3%
36 2
 
3.3%
156 2
 
3.3%
166 2
 
3.3%
60 2
 
3.3%
42 2
 
3.3%
74 2
 
3.3%
Other values (38) 39
65.0%
ValueCountFrequency (%)
36 2
3.3%
38 1
1.7%
40 1
1.7%
42 2
3.3%
44 1
1.7%
46 1
1.7%
48 1
1.7%
50 1
1.7%
54 1
1.7%
60 2
3.3%
ValueCountFrequency (%)
1420 1
1.7%
1328 1
1.7%
726 1
1.7%
636 1
1.7%
536 1
1.7%
530 1
1.7%
504 1
1.7%
498 1
1.7%
460 1
1.7%
442 1
1.7%

65~69세 수(명)
Real number (ℝ)

Distinct49
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.03333
Minimum28
Maximum1148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:18.367300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile33.8
Q153
median114
Q3232.5
95-th percentile528.7
Maximum1148
Range1120
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation219.40397
Coefficient of variation (CV)1.1730741
Kurtosis8.735054
Mean187.03333
Median Absolute Deviation (MAD)64
Skewness2.7077013
Sum11222
Variance48138.101
MonotonicityNot monotonic
2023-12-10T22:17:18.647019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
50 4
 
6.7%
30 2
 
3.3%
114 2
 
3.3%
56 2
 
3.3%
62 2
 
3.3%
158 2
 
3.3%
108 2
 
3.3%
134 2
 
3.3%
68 2
 
3.3%
386 1
 
1.7%
Other values (39) 39
65.0%
ValueCountFrequency (%)
28 1
1.7%
30 2
3.3%
34 1
1.7%
36 1
1.7%
38 1
1.7%
40 1
1.7%
42 1
1.7%
44 1
1.7%
46 1
1.7%
48 1
1.7%
ValueCountFrequency (%)
1148 1
1.7%
1050 1
1.7%
542 1
1.7%
528 1
1.7%
514 1
1.7%
420 1
1.7%
416 1
1.7%
402 1
1.7%
386 1
1.7%
350 1
1.7%

70~74세 수(명)
Real number (ℝ)

Distinct44
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.7
Minimum14
Maximum998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:18.883696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile31.9
Q141.5
median94
Q3187
95-th percentile374.8
Maximum998
Range984
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation177.66463
Coefficient of variation (CV)1.1947857
Kurtosis10.803154
Mean148.7
Median Absolute Deviation (MAD)58
Skewness2.9868805
Sum8922
Variance31564.722
MonotonicityNot monotonic
2023-12-10T22:17:19.605586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
36 4
 
6.7%
42 4
 
6.7%
40 3
 
5.0%
32 3
 
5.0%
30 2
 
3.3%
64 2
 
3.3%
94 2
 
3.3%
108 2
 
3.3%
34 2
 
3.3%
296 2
 
3.3%
Other values (34) 34
56.7%
ValueCountFrequency (%)
14 1
 
1.7%
30 2
3.3%
32 3
5.0%
34 2
3.3%
36 4
6.7%
40 3
5.0%
42 4
6.7%
44 1
 
1.7%
48 1
 
1.7%
50 1
 
1.7%
ValueCountFrequency (%)
998 1
1.7%
812 1
1.7%
504 1
1.7%
368 1
1.7%
362 1
1.7%
344 1
1.7%
312 1
1.7%
296 2
3.3%
252 1
1.7%
240 1
1.7%

75~79세 수(명)
Real number (ℝ)

Distinct44
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.46667
Minimum10
Maximum910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:19.914934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19.9
Q139.5
median72
Q3172
95-th percentile390
Maximum910
Range900
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation161.59874
Coefficient of variation (CV)1.2291993
Kurtosis10.312397
Mean131.46667
Median Absolute Deviation (MAD)50
Skewness2.9390407
Sum7888
Variance26114.151
MonotonicityNot monotonic
2023-12-10T22:17:20.138776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
22 4
 
6.7%
172 3
 
5.0%
72 3
 
5.0%
20 2
 
3.3%
36 2
 
3.3%
188 2
 
3.3%
50 2
 
3.3%
44 2
 
3.3%
104 2
 
3.3%
40 2
 
3.3%
Other values (34) 36
60.0%
ValueCountFrequency (%)
10 1
 
1.7%
14 1
 
1.7%
18 1
 
1.7%
20 2
3.3%
22 4
6.7%
28 1
 
1.7%
32 1
 
1.7%
36 2
3.3%
38 2
3.3%
40 2
3.3%
ValueCountFrequency (%)
910 1
1.7%
650 1
1.7%
580 1
1.7%
380 1
1.7%
328 1
1.7%
298 1
1.7%
286 1
1.7%
202 1
1.7%
200 1
1.7%
192 1
1.7%

80~84세 수(명)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.73333
Minimum0
Maximum626
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:20.381372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.9
Q135.5
median59
Q3121.5
95-th percentile316
Maximum626
Range626
Interquartile range (IQR)86

Descriptive statistics

Standard deviation117.53569
Coefficient of variation (CV)1.1222377
Kurtosis7.452627
Mean104.73333
Median Absolute Deviation (MAD)38
Skewness2.4981114
Sum6284
Variance13814.64
MonotonicityNot monotonic
2023-12-10T22:17:20.640682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
48 5
 
8.3%
34 3
 
5.0%
40 2
 
3.3%
0 2
 
3.3%
314 2
 
3.3%
12 2
 
3.3%
104 2
 
3.3%
174 2
 
3.3%
22 2
 
3.3%
112 2
 
3.3%
Other values (34) 36
60.0%
ValueCountFrequency (%)
0 2
3.3%
10 1
 
1.7%
12 2
3.3%
16 1
 
1.7%
20 1
 
1.7%
22 2
3.3%
24 1
 
1.7%
28 1
 
1.7%
30 1
 
1.7%
34 3
5.0%
ValueCountFrequency (%)
626 1
1.7%
500 1
1.7%
354 1
1.7%
314 2
3.3%
264 1
1.7%
216 1
1.7%
178 1
1.7%
174 2
3.3%
170 1
1.7%
160 1
1.7%

85~89세 수(명)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.366667
Minimum0
Maximum440
Zeros12
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:20.875737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median28
Q362
95-th percentile180.7
Maximum440
Range440
Interquartile range (IQR)50

Descriptive statistics

Standard deviation77.852962
Coefficient of variation (CV)1.4588313
Kurtosis11.745041
Mean53.366667
Median Absolute Deviation (MAD)22
Skewness3.1059497
Sum3202
Variance6061.0836
MonotonicityNot monotonic
2023-12-10T22:17:21.150126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 12
20.0%
32 4
 
6.7%
16 4
 
6.7%
28 3
 
5.0%
12 3
 
5.0%
50 2
 
3.3%
24 2
 
3.3%
26 2
 
3.3%
22 2
 
3.3%
30 2
 
3.3%
Other values (21) 24
40.0%
ValueCountFrequency (%)
0 12
20.0%
10 1
 
1.7%
12 3
 
5.0%
14 2
 
3.3%
16 4
 
6.7%
22 2
 
3.3%
24 2
 
3.3%
26 2
 
3.3%
28 3
 
5.0%
30 2
 
3.3%
ValueCountFrequency (%)
440 1
1.7%
330 1
1.7%
194 1
1.7%
180 1
1.7%
150 1
1.7%
136 1
1.7%
124 1
1.7%
120 1
1.7%
110 1
1.7%
102 1
1.7%

90~94세 수(명)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.8
Minimum0
Maximum176
Zeros40
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:21.356312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile62.9
Maximum176
Range176
Interquartile range (IQR)14

Descriptive statistics

Standard deviation31.061885
Coefficient of variation (CV)2.2508612
Kurtosis14.174026
Mean13.8
Median Absolute Deviation (MAD)0
Skewness3.4928076
Sum828
Variance964.84068
MonotonicityNot monotonic
2023-12-10T22:17:21.530204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 40
66.7%
12 3
 
5.0%
16 2
 
3.3%
14 2
 
3.3%
26 2
 
3.3%
80 1
 
1.7%
34 1
 
1.7%
10 1
 
1.7%
54 1
 
1.7%
62 1
 
1.7%
Other values (6) 6
 
10.0%
ValueCountFrequency (%)
0 40
66.7%
10 1
 
1.7%
12 3
 
5.0%
14 2
 
3.3%
16 2
 
3.3%
22 1
 
1.7%
26 2
 
3.3%
32 1
 
1.7%
34 1
 
1.7%
42 1
 
1.7%
ValueCountFrequency (%)
176 1
1.7%
122 1
1.7%
80 1
1.7%
62 1
1.7%
54 1
1.7%
46 1
1.7%
42 1
1.7%
34 1
1.7%
32 1
1.7%
26 2
3.3%

95~99세 수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
57 
22
 
1
12
 
1
10
 
1

Length

Max length2
Median length1
Mean length1.05
Min length1

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st row0
2nd row0
3rd row0
4th row22
5th row0

Common Values

ValueCountFrequency (%)
0 57
95.0%
22 1
 
1.7%
12 1
 
1.7%
10 1
 
1.7%

Length

2023-12-10T22:17:21.726581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:21.930368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
95.0%
22 1
 
1.7%
12 1
 
1.7%
10 1
 
1.7%

100세 이상 수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
60 

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 60
100.0%

Length

2023-12-10T22:17:22.114757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:22.287455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
100.0%

총 인구수(명)
Real number (ℝ)

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2149.8333
Minimum264
Maximum16358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-10T22:17:22.451374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum264
5-th percentile287.9
Q1541
median1180
Q32299
95-th percentile6360.1
Maximum16358
Range16094
Interquartile range (IQR)1758

Descriptive statistics

Standard deviation3085.8169
Coefficient of variation (CV)1.4353749
Kurtosis13.29247
Mean2149.8333
Median Absolute Deviation (MAD)747
Skewness3.403404
Sum128990
Variance9522265.9
MonotonicityNot monotonic
2023-12-10T22:17:22.677214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
298 2
 
3.3%
1192 2
 
3.3%
1180 2
 
3.3%
4454 1
 
1.7%
1504 1
 
1.7%
1568 1
 
1.7%
3024 1
 
1.7%
2202 1
 
1.7%
570 1
 
1.7%
550 1
 
1.7%
Other values (47) 47
78.3%
ValueCountFrequency (%)
264 1
1.7%
266 1
1.7%
286 1
1.7%
288 1
1.7%
298 2
3.3%
326 1
1.7%
352 1
1.7%
356 1
1.7%
396 1
1.7%
398 1
1.7%
ValueCountFrequency (%)
16358 1
1.7%
16064 1
1.7%
6818 1
1.7%
6336 1
1.7%
5304 1
1.7%
4700 1
1.7%
4626 1
1.7%
4454 1
1.7%
4324 1
1.7%
4254 1
1.7%

Sample

기본키년도지점집계구 코드성별4세 이전 수(명)5~9세 수(명)10~14세 수(명)15~19세 수(명)20~24세 수(명)25~29세 수(명)30~34세 수(명)35~39세 수(명)40~44세 수(명)45~49세 수(명)50~54세 수(명)55~59세 수(명)60~64세 수(명)65~69세 수(명)70~74세 수(명)75~79세 수(명)80~84세 수(명)85~89세 수(명)90~94세 수(명)95~99세 수(명)100세 이상 수(명)총 인구수(명)
012020A-0010-0728S-6경상북도 경주시 건천읍남자5690128118258244198224248384418464460386362202160540004454
122020A-0010-0728S-6경상북도 경주시 건천읍여자6684807813212414813220825037039649852834438031415042004324
232020A-0010-2583E-7충청북도 옥천군 옥천읍남자37673888696010048165568941190141214941454132810508126503549000016064
342020A-0010-2583E-7충청북도 옥천군 옥천읍여자32671276073878062856889610901342139613821420114899891062644017622016358
452020A-0010-2626S-6충청북도 옥천군 군북면남자1226404876102504890138230270296280184110106420002148
562020A-0010-2626S-6충청북도 옥천군 군북면여자0141038724254647212817423432421819818815012032002132
672020A-0100-0668E-6경상남도 사천시 축동면남자014001250283254408078865048281612000628
782020A-0100-0668E-6경상남도 사천시 축동면여자0001222010163442505010088645048421200640
892020A-0100-0698S-8경상남도 진주시 정촌면남자1030445840565432628211011415615894444800001192
9102020A-0100-0698S-8경상남도 진주시 정촌면여자0144010143414365466961281661081081041047014001180
기본키년도지점집계구 코드성별4세 이전 수(명)5~9세 수(명)10~14세 수(명)15~19세 수(명)20~24세 수(명)25~29세 수(명)30~34세 수(명)35~39세 수(명)40~44세 수(명)45~49세 수(명)50~54세 수(명)55~59세 수(명)60~64세 수(명)65~69세 수(명)70~74세 수(명)75~79세 수(명)80~84세 수(명)85~89세 수(명)90~94세 수(명)95~99세 수(명)100세 이상 수(명)총 인구수(명)
50512020A-0550-1490E-4경상북도 군위군 군위읍남자02028985872264280130212228254156152152112320001852
51522020A-0550-1490E-4경상북도 군위군 군위읍여자002292242810405410412618417818218218817813634001762
52532020A-0550-1837S-4경상북도 안동시 남후면남자0000103020163076669812684114949650000910
53542020A-0550-1837S-4경상북도 안동시 남후면여자00001000100185010094114106150154948000980
54552020A-0600-0547S-4강원도 춘천시 남산면남자032485898108126136144184236328344298240180100220002682
55562020A-0600-0547S-4강원도 춘천시 남산면여자01430741221125811210013817827636432420220015810226002590
56572020A-0600-0636S-4강원도 춘천시 동산면남자0009013686281822244464745842383814000776
57582020A-0600-0636S-4강원도 춘천시 동산면여자1001412361801800465264544060422612100514
58592020A-6000-0396E-4부산광역시 금정구 선두구동남자0001024223438487012210210860321800000688
59602020A-6000-0396E-4부산광역시 금정구 선두구동여자0001014180242636487660401420120000398