Overview

Dataset statistics

Number of variables27
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory242.1 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 (77.9%)Imbalance
기본키 has unique valuesUnique
4세 이전 수(명) has 25 (40.3%) zerosZeros
5~9세 수(명) has 22 (35.5%) zerosZeros
10~14세 수(명) has 21 (33.9%) zerosZeros
15~19세 수(명) has 18 (29.0%) zerosZeros
20~24세 수(명) has 9 (14.5%) zerosZeros
25~29세 수(명) has 5 (8.1%) zerosZeros
30~34세 수(명) has 12 (19.4%) zerosZeros
35~39세 수(명) has 4 (6.5%) zerosZeros
40~44세 수(명) has 5 (8.1%) zerosZeros
80~84세 수(명) has 1 (1.6%) zerosZeros
85~89세 수(명) has 16 (25.8%) zerosZeros
90~94세 수(명) has 42 (67.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:17:24.123250
Analysis finished2023-12-10 13:17:24.572119
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:24.688622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2023-12-10T22:17:25.005859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2019
62 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 62
100.0%

Length

2023-12-10T22:17:25.224181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:25.396413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 62
100.0%

지점
Text

Distinct31
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-10T22:17:25.698272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters868
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-0010-0391S-6
2nd rowA-0010-0391S-6
3rd rowA-0010-0728S-6
4th rowA-0010-0728S-6
5th rowA-0010-2583E-7
ValueCountFrequency (%)
a-0010-0391s-6 2
 
3.2%
a-0160-0058e-4 2
 
3.2%
a-0600-0636s-4 2
 
3.2%
a-0600-0547s-4 2
 
3.2%
a-0550-1837s-4 2
 
3.2%
a-0550-1490e-4 2
 
3.2%
a-0500-0701e-8 2
 
3.2%
a-0450-1129e-4 2
 
3.2%
a-0450-0703e-4 2
 
3.2%
a-0450-0557e-4 2
 
3.2%
Other values (21) 42
67.7%
2023-12-10T22:17:26.291483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 202
23.3%
- 186
21.4%
A 62
 
7.1%
1 58
 
6.7%
4 56
 
6.5%
6 50
 
5.8%
5 50
 
5.8%
2 48
 
5.5%
E 40
 
4.6%
7 30
 
3.5%
Other values (4) 86
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 558
64.3%
Dash Punctuation 186
 
21.4%
Uppercase Letter 124
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 202
36.2%
1 58
 
10.4%
4 56
 
10.0%
6 50
 
9.0%
5 50
 
9.0%
2 48
 
8.6%
7 30
 
5.4%
8 28
 
5.0%
3 18
 
3.2%
9 18
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 62
50.0%
E 40
32.3%
S 22
 
17.7%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 744
85.7%
Latin 124
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 202
27.2%
- 186
25.0%
1 58
 
7.8%
4 56
 
7.5%
6 50
 
6.7%
5 50
 
6.7%
2 48
 
6.5%
7 30
 
4.0%
8 28
 
3.8%
3 18
 
2.4%
Latin
ValueCountFrequency (%)
A 62
50.0%
E 40
32.3%
S 22
 
17.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 202
23.3%
- 186
21.4%
A 62
 
7.1%
1 58
 
6.7%
4 56
 
6.5%
6 50
 
5.8%
5 50
 
5.8%
2 48
 
5.5%
E 40
 
4.6%
7 30
 
3.5%
Other values (4) 86
9.9%

집계구 코드
Categorical

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
경상남도 진주시 정촌면
 
4
울산광역시 울주군 삼남면
 
2
충청북도 옥천군 옥천읍
 
2
충청북도 옥천군 군북면
 
2
경상남도 사천시 축동면
 
2
Other values (25)
50 

Length

Max length14
Median length12
Mean length12
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 울주군 삼남면
2nd row울산광역시 울주군 삼남면
3rd row경상북도 경주시 건천읍
4th row경상북도 경주시 건천읍
5th row충청북도 옥천군 옥천읍

Common Values

ValueCountFrequency (%)
경상남도 진주시 정촌면 4
 
6.5%
울산광역시 울주군 삼남면 2
 
3.2%
충청북도 옥천군 옥천읍 2
 
3.2%
충청북도 옥천군 군북면 2
 
3.2%
경상남도 사천시 축동면 2
 
3.2%
전라남도 담양군 고서면 2
 
3.2%
전라남도 담양군 봉산면 2
 
3.2%
경상남도 함양군 함양읍 2
 
3.2%
경상남도 거창군 남상면 2
 
3.2%
경상북도 고령군 성산면 2
 
3.2%
Other values (20) 40
64.5%

Length

2023-12-10T22:17:26.613876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 14
 
7.5%
경상남도 10
 
5.4%
충청북도 8
 
4.3%
전라북도 6
 
3.2%
전라남도 6
 
3.2%
남원시 6
 
3.2%
충청남도 4
 
2.2%
울산광역시 4
 
2.2%
정촌면 4
 
2.2%
옥천군 4
 
2.2%
Other values (53) 120
64.5%

성별
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
남자
31 
여자
31 

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 31
50.0%
여자 31
50.0%

Length

2023-12-10T22:17:26.912122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:27.118663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 31
50.0%
여자 31
50.0%

4세 이전 수(명)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.322581
Minimum0
Maximum238
Zeros25
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:27.287204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q343
95-th percentile158.2
Maximum238
Range238
Interquartile range (IQR)43

Descriptive statistics

Standard deviation52.628227
Coefficient of variation (CV)1.6282186
Kurtosis7.0119736
Mean32.322581
Median Absolute Deviation (MAD)13
Skewness2.6154671
Sum2004
Variance2769.7303
MonotonicityNot monotonic
2023-12-10T22:17:27.563277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 25
40.3%
10 4
 
6.5%
44 3
 
4.8%
14 3
 
4.8%
22 2
 
3.2%
74 2
 
3.2%
32 2
 
3.2%
12 2
 
3.2%
30 2
 
3.2%
34 1
 
1.6%
Other values (16) 16
25.8%
ValueCountFrequency (%)
0 25
40.3%
10 4
 
6.5%
12 2
 
3.2%
14 3
 
4.8%
16 1
 
1.6%
18 1
 
1.6%
22 2
 
3.2%
26 1
 
1.6%
28 1
 
1.6%
30 2
 
3.2%
ValueCountFrequency (%)
238 1
1.6%
218 1
1.6%
210 1
1.6%
162 1
1.6%
86 1
1.6%
82 1
1.6%
74 2
3.2%
72 1
1.6%
64 1
1.6%
56 1
1.6%

5~9세 수(명)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.903226
Minimum0
Maximum426
Zeros22
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:27.776097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q346
95-th percentile198.6
Maximum426
Range426
Interquartile range (IQR)46

Descriptive statistics

Standard deviation83.530835
Coefficient of variation (CV)1.7809188
Kurtosis10.219326
Mean46.903226
Median Absolute Deviation (MAD)16
Skewness3.0584041
Sum2908
Variance6977.4003
MonotonicityNot monotonic
2023-12-10T22:17:27.993998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 22
35.5%
16 4
 
6.5%
10 3
 
4.8%
46 3
 
4.8%
20 3
 
4.8%
12 2
 
3.2%
30 2
 
3.2%
28 2
 
3.2%
98 1
 
1.6%
110 1
 
1.6%
Other values (19) 19
30.6%
ValueCountFrequency (%)
0 22
35.5%
10 3
 
4.8%
12 2
 
3.2%
14 1
 
1.6%
16 4
 
6.5%
18 1
 
1.6%
20 3
 
4.8%
22 1
 
1.6%
24 1
 
1.6%
28 2
 
3.2%
ValueCountFrequency (%)
426 1
1.6%
376 1
1.6%
276 1
1.6%
202 1
1.6%
134 1
1.6%
124 1
1.6%
112 1
1.6%
110 1
1.6%
104 1
1.6%
98 1
1.6%

10~14세 수(명)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.451613
Minimum0
Maximum432
Zeros21
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:28.210102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q341.5
95-th percentile271.8
Maximum432
Range432
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation85.715059
Coefficient of variation (CV)1.7690858
Kurtosis9.4975864
Mean48.451613
Median Absolute Deviation (MAD)23
Skewness3.0305182
Sum3004
Variance7347.0714
MonotonicityNot monotonic
2023-12-10T22:17:28.605799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 21
33.9%
34 3
 
4.8%
30 3
 
4.8%
10 3
 
4.8%
24 2
 
3.2%
86 2
 
3.2%
38 2
 
3.2%
28 2
 
3.2%
14 2
 
3.2%
12 2
 
3.2%
Other values (20) 20
32.3%
ValueCountFrequency (%)
0 21
33.9%
10 3
 
4.8%
12 2
 
3.2%
14 2
 
3.2%
16 1
 
1.6%
20 1
 
1.6%
22 1
 
1.6%
24 2
 
3.2%
28 2
 
3.2%
30 3
 
4.8%
ValueCountFrequency (%)
432 1
1.6%
352 1
1.6%
308 1
1.6%
280 1
1.6%
116 1
1.6%
114 1
1.6%
112 1
1.6%
110 1
1.6%
88 1
1.6%
86 2
3.2%

15~19세 수(명)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.419355
Minimum0
Maximum1494
Zeros18
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:28.807661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q351.5
95-th percentile445.2
Maximum1494
Range1494
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation235.84911
Coefficient of variation (CV)2.551945
Kurtosis22.375134
Mean92.419355
Median Absolute Deviation (MAD)19
Skewness4.4385271
Sum5730
Variance55624.805
MonotonicityNot monotonic
2023-12-10T22:17:29.029133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 18
29.0%
26 5
 
8.1%
10 4
 
6.5%
16 3
 
4.8%
12 3
 
4.8%
38 2
 
3.2%
50 2
 
3.2%
82 2
 
3.2%
14 2
 
3.2%
120 1
 
1.6%
Other values (20) 20
32.3%
ValueCountFrequency (%)
0 18
29.0%
10 4
 
6.5%
12 3
 
4.8%
14 2
 
3.2%
16 3
 
4.8%
18 1
 
1.6%
20 1
 
1.6%
22 1
 
1.6%
24 1
 
1.6%
26 5
 
8.1%
ValueCountFrequency (%)
1494 1
1.6%
912 1
1.6%
466 1
1.6%
446 1
1.6%
430 1
1.6%
376 1
1.6%
146 1
1.6%
126 1
1.6%
120 1
1.6%
100 1
1.6%

20~24세 수(명)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.612903
Minimum0
Maximum642
Zeros9
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:29.226586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.5
median29
Q3101
95-th percentile303.8
Maximum642
Range642
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation118.59206
Coefficient of variation (CV)1.5085572
Kurtosis8.9052018
Mean78.612903
Median Absolute Deviation (MAD)19
Skewness2.7336266
Sum4874
Variance14064.077
MonotonicityNot monotonic
2023-12-10T22:17:29.494674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 9
 
14.5%
18 7
 
11.3%
10 4
 
6.5%
30 4
 
6.5%
38 3
 
4.8%
44 2
 
3.2%
26 2
 
3.2%
16 2
 
3.2%
12 2
 
3.2%
24 2
 
3.2%
Other values (23) 25
40.3%
ValueCountFrequency (%)
0 9
14.5%
10 4
6.5%
12 2
 
3.2%
14 1
 
1.6%
16 2
 
3.2%
18 7
11.3%
20 1
 
1.6%
24 2
 
3.2%
26 2
 
3.2%
28 1
 
1.6%
ValueCountFrequency (%)
642 1
1.6%
446 1
1.6%
374 1
1.6%
306 1
1.6%
262 1
1.6%
208 1
1.6%
198 1
1.6%
178 1
1.6%
166 1
1.6%
160 2
3.2%

25~29세 수(명)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.354839
Minimum0
Maximum430
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:29.787537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.5
median40
Q3115.5
95-th percentile302.5
Maximum430
Range430
Interquartile range (IQR)101

Descriptive statistics

Standard deviation101.78893
Coefficient of variation (CV)1.2066757
Kurtosis2.0076246
Mean84.354839
Median Absolute Deviation (MAD)30
Skewness1.63736
Sum5230
Variance10360.987
MonotonicityNot monotonic
2023-12-10T22:17:29.984033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 5
 
8.1%
12 4
 
6.5%
16 4
 
6.5%
10 4
 
6.5%
40 3
 
4.8%
14 3
 
4.8%
72 3
 
4.8%
28 3
 
4.8%
26 2
 
3.2%
54 1
 
1.6%
Other values (30) 30
48.4%
ValueCountFrequency (%)
0 5
8.1%
10 4
6.5%
12 4
6.5%
14 3
4.8%
16 4
6.5%
18 1
 
1.6%
22 1
 
1.6%
24 1
 
1.6%
26 2
 
3.2%
28 3
4.8%
ValueCountFrequency (%)
430 1
1.6%
350 1
1.6%
338 1
1.6%
304 1
1.6%
274 1
1.6%
260 1
1.6%
250 1
1.6%
232 1
1.6%
224 1
1.6%
194 1
1.6%

30~34세 수(명)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.354839
Minimum0
Maximum370
Zeros12
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:30.202724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.5
median35
Q3100
95-th percentile245.5
Maximum370
Range370
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation85.268736
Coefficient of variation (CV)1.2119811
Kurtosis1.8618262
Mean70.354839
Median Absolute Deviation (MAD)26
Skewness1.5664549
Sum4362
Variance7270.7573
MonotonicityNot monotonic
2023-12-10T22:17:30.423104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 12
19.4%
32 4
 
6.5%
14 4
 
6.5%
12 3
 
4.8%
50 3
 
4.8%
56 3
 
4.8%
100 2
 
3.2%
16 2
 
3.2%
58 2
 
3.2%
162 1
 
1.6%
Other values (26) 26
41.9%
ValueCountFrequency (%)
0 12
19.4%
10 1
 
1.6%
12 3
 
4.8%
14 4
 
6.5%
16 2
 
3.2%
18 1
 
1.6%
20 1
 
1.6%
22 1
 
1.6%
26 1
 
1.6%
28 1
 
1.6%
ValueCountFrequency (%)
370 1
1.6%
266 1
1.6%
256 1
1.6%
246 1
1.6%
236 1
1.6%
224 1
1.6%
220 1
1.6%
202 1
1.6%
200 1
1.6%
162 1
1.6%

35~39세 수(명)
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.741935
Minimum0
Maximum520
Zeros4
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:31.128986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q116
median53
Q3133
95-th percentile318
Maximum520
Range520
Interquartile range (IQR)117

Descriptive statistics

Standard deviation114.33241
Coefficient of variation (CV)1.2883696
Kurtosis5.239276
Mean88.741935
Median Absolute Deviation (MAD)39
Skewness2.1981089
Sum5502
Variance13071.9
MonotonicityNot monotonic
2023-12-10T22:17:31.443862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
12 5
 
8.1%
10 4
 
6.5%
0 4
 
6.5%
64 3
 
4.8%
18 3
 
4.8%
16 3
 
4.8%
56 3
 
4.8%
20 2
 
3.2%
26 2
 
3.2%
178 2
 
3.2%
Other values (28) 31
50.0%
ValueCountFrequency (%)
0 4
6.5%
10 4
6.5%
12 5
8.1%
14 2
 
3.2%
16 3
4.8%
18 3
4.8%
20 2
 
3.2%
22 1
 
1.6%
24 1
 
1.6%
26 2
 
3.2%
ValueCountFrequency (%)
520 1
1.6%
518 1
1.6%
344 1
1.6%
320 1
1.6%
280 1
1.6%
234 1
1.6%
232 1
1.6%
210 1
1.6%
178 2
3.2%
176 1
1.6%

40~44세 수(명)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.096774
Minimum0
Maximum622
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:31.806100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median46
Q3113
95-th percentile379.3
Maximum622
Range622
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation126.42612
Coefficient of variation (CV)1.329447
Kurtosis6.4682032
Mean95.096774
Median Absolute Deviation (MAD)32
Skewness2.4144175
Sum5896
Variance15983.564
MonotonicityNot monotonic
2023-12-10T22:17:32.060134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
16 6
 
9.7%
0 5
 
8.1%
20 4
 
6.5%
40 3
 
4.8%
18 2
 
3.2%
22 2
 
3.2%
14 2
 
3.2%
70 2
 
3.2%
48 2
 
3.2%
10 2
 
3.2%
Other values (32) 32
51.6%
ValueCountFrequency (%)
0 5
8.1%
10 2
 
3.2%
12 1
 
1.6%
14 2
 
3.2%
16 6
9.7%
18 2
 
3.2%
20 4
6.5%
22 2
 
3.2%
28 1
 
1.6%
34 1
 
1.6%
ValueCountFrequency (%)
622 1
1.6%
544 1
1.6%
390 1
1.6%
386 1
1.6%
252 1
1.6%
250 1
1.6%
248 1
1.6%
216 1
1.6%
200 1
1.6%
188 1
1.6%

45~49세 수(명)
Real number (ℝ)

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.90323
Minimum10
Maximum760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:32.294918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.1
Q128
median74
Q3147
95-th percentile499.3
Maximum760
Range750
Interquartile range (IQR)119

Descriptive statistics

Standard deviation165.81658
Coefficient of variation (CV)1.2383315
Kurtosis4.7016056
Mean133.90323
Median Absolute Deviation (MAD)54
Skewness2.1647222
Sum8302
Variance27495.138
MonotonicityNot monotonic
2023-12-10T22:17:32.568813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
28 4
 
6.5%
20 4
 
6.5%
18 3
 
4.8%
148 2
 
3.2%
108 2
 
3.2%
34 2
 
3.2%
272 2
 
3.2%
10 2
 
3.2%
42 2
 
3.2%
76 2
 
3.2%
Other values (34) 37
59.7%
ValueCountFrequency (%)
10 2
3.2%
12 1
 
1.6%
14 1
 
1.6%
16 2
3.2%
18 3
4.8%
20 4
6.5%
28 4
6.5%
30 1
 
1.6%
32 1
 
1.6%
34 2
3.2%
ValueCountFrequency (%)
760 1
1.6%
688 1
1.6%
600 1
1.6%
506 1
1.6%
372 1
1.6%
350 1
1.6%
344 1
1.6%
306 1
1.6%
294 1
1.6%
274 1
1.6%

50~54세 수(명)
Real number (ℝ)

Distinct45
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.74194
Minimum18
Maximum760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:32.862871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile22.1
Q142.5
median92
Q3224
95-th percentile628.9
Maximum760
Range742
Interquartile range (IQR)181.5

Descriptive statistics

Standard deviation185.24109
Coefficient of variation (CV)1.0977774
Kurtosis2.67062
Mean168.74194
Median Absolute Deviation (MAD)63
Skewness1.7671628
Sum10462
Variance34314.26
MonotonicityNot monotonic
2023-12-10T22:17:33.085554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
50 3
 
4.8%
18 3
 
4.8%
40 3
 
4.8%
92 3
 
4.8%
44 2
 
3.2%
24 2
 
3.2%
410 2
 
3.2%
112 2
 
3.2%
108 2
 
3.2%
158 2
 
3.2%
Other values (35) 38
61.3%
ValueCountFrequency (%)
18 3
4.8%
22 1
 
1.6%
24 2
3.2%
26 2
3.2%
28 1
 
1.6%
30 1
 
1.6%
36 1
 
1.6%
38 1
 
1.6%
40 3
4.8%
42 1
 
1.6%
ValueCountFrequency (%)
760 1
1.6%
736 1
1.6%
694 1
1.6%
640 1
1.6%
418 1
1.6%
410 2
3.2%
398 1
1.6%
372 1
1.6%
370 1
1.6%
358 1
1.6%

55~59세 수(명)
Real number (ℝ)

Distinct52
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.45161
Minimum18
Maximum824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:33.365776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile34
Q161.5
median140
Q3267
95-th percentile668.4
Maximum824
Range806
Interquartile range (IQR)205.5

Descriptive statistics

Standard deviation196.98295
Coefficient of variation (CV)0.97298783
Kurtosis1.6860701
Mean202.45161
Median Absolute Deviation (MAD)84
Skewness1.5399965
Sum12552
Variance38802.285
MonotonicityNot monotonic
2023-12-10T22:17:33.726898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 3
 
4.8%
126 3
 
4.8%
162 2
 
3.2%
56 2
 
3.2%
40 2
 
3.2%
48 2
 
3.2%
140 2
 
3.2%
34 2
 
3.2%
522 1
 
1.6%
170 1
 
1.6%
Other values (42) 42
67.7%
ValueCountFrequency (%)
18 1
1.6%
26 1
1.6%
28 1
1.6%
34 2
3.2%
38 1
1.6%
40 2
3.2%
42 1
1.6%
48 2
3.2%
50 1
1.6%
54 1
1.6%
ValueCountFrequency (%)
824 1
1.6%
726 1
1.6%
714 1
1.6%
676 1
1.6%
524 1
1.6%
522 1
1.6%
510 1
1.6%
486 1
1.6%
456 1
1.6%
434 1
1.6%

60~64세 수(명)
Real number (ℝ)

Distinct48
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.96774
Minimum32
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:34.139527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile36
Q160.5
median141
Q3261.5
95-th percentile640.7
Maximum710
Range678
Interquartile range (IQR)201

Descriptive statistics

Standard deviation184.81945
Coefficient of variation (CV)0.93358366
Kurtosis0.87292731
Mean197.96774
Median Absolute Deviation (MAD)81
Skewness1.360785
Sum12274
Variance34158.228
MonotonicityNot monotonic
2023-12-10T22:17:34.383968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
36 3
 
4.8%
84 2
 
3.2%
44 2
 
3.2%
42 2
 
3.2%
130 2
 
3.2%
158 2
 
3.2%
172 2
 
3.2%
46 2
 
3.2%
60 2
 
3.2%
646 2
 
3.2%
Other values (38) 41
66.1%
ValueCountFrequency (%)
32 1
 
1.6%
34 1
 
1.6%
36 3
4.8%
38 1
 
1.6%
42 2
3.2%
44 2
3.2%
46 2
3.2%
52 1
 
1.6%
54 1
 
1.6%
60 2
3.2%
ValueCountFrequency (%)
710 1
1.6%
678 1
1.6%
646 2
3.2%
540 1
1.6%
510 1
1.6%
470 2
3.2%
464 1
1.6%
426 1
1.6%
412 1
1.6%
362 1
1.6%

65~69세 수(명)
Real number (ℝ)

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.74194
Minimum20
Maximum568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:34.783779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile32.1
Q145
median108
Q3198.5
95-th percentile481.5
Maximum568
Range548
Interquartile range (IQR)153.5

Descriptive statistics

Standard deviation147.79626
Coefficient of variation (CV)0.93694973
Kurtosis1.1991995
Mean157.74194
Median Absolute Deviation (MAD)66
Skewness1.4419141
Sum9780
Variance21843.736
MonotonicityNot monotonic
2023-12-10T22:17:35.107831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
38 4
 
6.5%
146 3
 
4.8%
42 3
 
4.8%
108 3
 
4.8%
176 2
 
3.2%
246 2
 
3.2%
118 2
 
3.2%
62 2
 
3.2%
54 2
 
3.2%
44 2
 
3.2%
Other values (34) 37
59.7%
ValueCountFrequency (%)
20 1
 
1.6%
22 1
 
1.6%
28 1
 
1.6%
32 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
38 4
6.5%
40 1
 
1.6%
42 3
4.8%
44 2
3.2%
ValueCountFrequency (%)
568 1
1.6%
558 1
1.6%
550 1
1.6%
482 1
1.6%
472 1
1.6%
408 1
1.6%
376 1
1.6%
372 1
1.6%
362 1
1.6%
334 1
1.6%

70~74세 수(명)
Real number (ℝ)

Distinct45
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.3871
Minimum24
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:35.487658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile26.1
Q141.5
median90
Q3169
95-th percentile391.3
Maximum510
Range486
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation117.92014
Coefficient of variation (CV)0.93300774
Kurtosis1.981654
Mean126.3871
Median Absolute Deviation (MAD)51
Skewness1.5980742
Sum7836
Variance13905.159
MonotonicityNot monotonic
2023-12-10T22:17:35.878791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
46 5
 
8.1%
108 3
 
4.8%
38 3
 
4.8%
28 3
 
4.8%
26 3
 
4.8%
40 2
 
3.2%
136 2
 
3.2%
90 2
 
3.2%
100 2
 
3.2%
60 2
 
3.2%
Other values (35) 35
56.5%
ValueCountFrequency (%)
24 1
 
1.6%
26 3
4.8%
28 3
4.8%
30 1
 
1.6%
32 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
38 3
4.8%
40 2
 
3.2%
46 5
8.1%
ValueCountFrequency (%)
510 1
1.6%
470 1
1.6%
406 1
1.6%
394 1
1.6%
340 1
1.6%
332 1
1.6%
302 1
1.6%
286 1
1.6%
266 1
1.6%
258 1
1.6%

75~79세 수(명)
Real number (ℝ)

Distinct51
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.16129
Minimum10
Maximum556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:36.310397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26.1
Q144
median75
Q3169
95-th percentile370.6
Maximum556
Range546
Interquartile range (IQR)125

Descriptive statistics

Standard deviation116.23735
Coefficient of variation (CV)0.93618025
Kurtosis3.6118497
Mean124.16129
Median Absolute Deviation (MAD)47
Skewness1.8384634
Sum7698
Variance13511.121
MonotonicityNot monotonic
2023-12-10T22:17:36.756782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 4
 
6.5%
62 3
 
4.8%
38 2
 
3.2%
176 2
 
3.2%
56 2
 
3.2%
44 2
 
3.2%
128 2
 
3.2%
52 2
 
3.2%
304 1
 
1.6%
54 1
 
1.6%
Other values (41) 41
66.1%
ValueCountFrequency (%)
10 1
 
1.6%
12 1
 
1.6%
24 1
 
1.6%
26 1
 
1.6%
28 4
6.5%
30 1
 
1.6%
32 1
 
1.6%
34 1
 
1.6%
38 2
3.2%
40 1
 
1.6%
ValueCountFrequency (%)
556 1
1.6%
496 1
1.6%
394 1
1.6%
374 1
1.6%
306 1
1.6%
304 1
1.6%
302 1
1.6%
242 1
1.6%
218 1
1.6%
216 1
1.6%

80~84세 수(명)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.580645
Minimum0
Maximum474
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:37.163335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.1
Q130
median57
Q3131.5
95-th percentile295.5
Maximum474
Range474
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation96.332169
Coefficient of variation (CV)1.0078627
Kurtosis4.219105
Mean95.580645
Median Absolute Deviation (MAD)39
Skewness1.9497769
Sum5926
Variance9279.8868
MonotonicityNot monotonic
2023-12-10T22:17:37.556441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
30 5
 
8.1%
50 5
 
8.1%
98 3
 
4.8%
170 2
 
3.2%
182 2
 
3.2%
42 2
 
3.2%
12 2
 
3.2%
60 2
 
3.2%
54 2
 
3.2%
18 2
 
3.2%
Other values (34) 35
56.5%
ValueCountFrequency (%)
0 1
 
1.6%
10 1
 
1.6%
12 2
 
3.2%
14 2
 
3.2%
16 1
 
1.6%
18 2
 
3.2%
20 1
 
1.6%
26 1
 
1.6%
28 1
 
1.6%
30 5
8.1%
ValueCountFrequency (%)
474 1
1.6%
394 1
1.6%
318 1
1.6%
296 1
1.6%
286 1
1.6%
226 1
1.6%
182 2
3.2%
180 1
1.6%
170 2
3.2%
164 1
1.6%

85~89세 수(명)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.387097
Minimum0
Maximum316
Zeros16
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:37.814300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median26
Q351.5
95-th percentile193.8
Maximum316
Range316
Interquartile range (IQR)49

Descriptive statistics

Standard deviation64.59238
Coefficient of variation (CV)1.3924644
Kurtosis7.4449238
Mean46.387097
Median Absolute Deviation (MAD)26
Skewness2.5889123
Sum2876
Variance4172.1756
MonotonicityNot monotonic
2023-12-10T22:17:38.117802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 16
25.8%
12 3
 
4.8%
92 3
 
4.8%
24 3
 
4.8%
38 2
 
3.2%
18 2
 
3.2%
34 2
 
3.2%
28 2
 
3.2%
46 2
 
3.2%
30 2
 
3.2%
Other values (21) 25
40.3%
ValueCountFrequency (%)
0 16
25.8%
10 1
 
1.6%
12 3
 
4.8%
16 1
 
1.6%
18 2
 
3.2%
20 2
 
3.2%
22 2
 
3.2%
24 3
 
4.8%
26 2
 
3.2%
28 2
 
3.2%
ValueCountFrequency (%)
316 1
 
1.6%
292 1
 
1.6%
198 1
 
1.6%
196 1
 
1.6%
152 1
 
1.6%
110 1
 
1.6%
92 3
4.8%
90 1
 
1.6%
82 1
 
1.6%
78 1
 
1.6%

90~94세 수(명)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.645161
Minimum0
Maximum112
Zeros42
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:38.403860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile65.7
Maximum112
Range112
Interquartile range (IQR)15

Descriptive statistics

Standard deviation22.573811
Coefficient of variation (CV)1.9384713
Kurtosis6.6816653
Mean11.645161
Median Absolute Deviation (MAD)0
Skewness2.4778904
Sum722
Variance509.57694
MonotonicityNot monotonic
2023-12-10T22:17:38.693409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 42
67.7%
28 3
 
4.8%
22 2
 
3.2%
10 2
 
3.2%
12 2
 
3.2%
68 1
 
1.6%
38 1
 
1.6%
66 1
 
1.6%
60 1
 
1.6%
16 1
 
1.6%
Other values (6) 6
 
9.7%
ValueCountFrequency (%)
0 42
67.7%
10 2
 
3.2%
12 2
 
3.2%
16 1
 
1.6%
18 1
 
1.6%
22 2
 
3.2%
28 3
 
4.8%
30 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
ValueCountFrequency (%)
112 1
 
1.6%
72 1
 
1.6%
68 1
 
1.6%
66 1
 
1.6%
60 1
 
1.6%
38 1
 
1.6%
36 1
 
1.6%
34 1
 
1.6%
30 1
 
1.6%
28 3
4.8%

95~99세 수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
58 
10
 
2
12
 
1
26
 
1

Length

Max length2
Median length1
Mean length1.0645161
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row12
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
93.5%
10 2
 
3.2%
12 1
 
1.6%
26 1
 
1.6%

Length

2023-12-10T22:17:39.041420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:39.358870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
93.5%
10 2
 
3.2%
12 1
 
1.6%
26 1
 
1.6%

100세 이상 수(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-10T22:17:39.660358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:39.899915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

총 인구수(명)
Real number (ℝ)

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1903.1613
Minimum256
Maximum8710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:40.176823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256
5-th percentile288.1
Q1484.5
median1230
Q32271
95-th percentile6874.7
Maximum8710
Range8454
Interquartile range (IQR)1786.5

Descriptive statistics

Standard deviation2066.033
Coefficient of variation (CV)1.0855796
Kurtosis2.9803425
Mean1903.1613
Median Absolute Deviation (MAD)809
Skewness1.8331525
Sum117996
Variance4268492.3
MonotonicityNot monotonic
2023-12-10T22:17:40.419189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1230 2
 
3.2%
1248 2
 
3.2%
352 2
 
3.2%
1742 1
 
1.6%
3686 1
 
1.6%
290 1
 
1.6%
1500 1
 
1.6%
1572 1
 
1.6%
2940 1
 
1.6%
2316 1
 
1.6%
Other values (49) 49
79.0%
ValueCountFrequency (%)
256 1
1.6%
278 1
1.6%
284 1
1.6%
288 1
1.6%
290 1
1.6%
298 1
1.6%
300 1
1.6%
352 2
3.2%
358 1
1.6%
400 1
1.6%
ValueCountFrequency (%)
8710 1
1.6%
8578 1
1.6%
7396 1
1.6%
6954 1
1.6%
5368 1
1.6%
4436 1
1.6%
4378 1
1.6%
4376 1
1.6%
4374 1
1.6%
4282 1
1.6%

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)
012019A-0010-0391S-6울산광역시 울주군 삼남면남자344224467013813810094148158204218146885230120001742
122019A-0010-0391S-6울산광역시 울주군 삼남면여자180283278102100669612218021820810810810010692361201810
232019A-0010-0728S-6경상북도 경주시 건천읍남자5484110146198260200234248372418456464376332218158460004374
342019A-0010-0728S-6경상북도 경주시 건천읍여자86104648016615212417620027435843447047234039429615234004376
452019A-0010-2583E-7충청북도 옥천군 옥천읍남자218426432466642430370520622760736824646568394306180380008578
562019A-0010-2583E-7충청북도 옥천군 옥천읍여자2383763523764463502665185446887607147105584704963943161122608710
672019A-0010-2626S-6충청북도 옥천군 군북면남자162036428678768486148236258276296136132110200002136
782019A-0010-2626S-6충청북도 옥천군 군북면여자0201020923238647412818827030220618617814678301002072
892019A-0100-0668E-6경상남도 사천시 축동면남자0000102212182228264036202828100000300
9102019A-0100-0668E-6경상남도 사천시 축동면여자00000001614201818464826381426000284
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)
52532019A-0550-1490E-4경상북도 군위군 군위읍남자444666123460567811414217817819014214215298220001754
53542019A-0550-1490E-4경상북도 군위군 군위읍여자26583050240427410894901441341761781701829028001698
54552019A-0550-1837S-4경상북도 안동시 남후면남자100000101426347070112969010210810446000892
55562019A-0550-1837S-4경상북도 안동시 남후면여자1000002602004050102108981181601649266001054
56572019A-0600-0547S-4강원도 춘천시 남산면남자050866610413211814415214424631635224623217682120002658
57582019A-0600-0547S-4강원도 춘천시 남산면여자022429017811456158781341783223622741882161568238002688
58592019A-0600-0636S-4강원도 춘천시 동산면남자000181826201816205060804238383024000498
59602019A-0600-0636S-4강원도 춘천시 동산면여자1000018240180204256603846505028000460
60612019A-6000-0396E-4부산광역시 금정구 선두구동남자001010164016242228666666444040180000506
61622019A-6000-0396E-4부산광역시 금정구 선두구동여자1400161816141012344066446250482610000480