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 5 (8.1%) zerosZeros
5~9세 수(명) has 3 (4.8%) zerosZeros
10~14세 수(명) has 5 (8.1%) zerosZeros
85~89세 수(명) has 6 (9.7%) zerosZeros
90~94세 수(명) has 37 (59.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:17:41.924357
Analysis finished2023-12-10 13:17:42.675603
Duration0.75 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
2023-12-10T22:17:42.791628image/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
2023-12-10T22:17:43.096061image/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
2017
62 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 62
100.0%

Length

2023-12-10T22:17:43.318877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:43.488724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 62
100.0%

지점
Text

Distinct31
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-10T22:17:43.797138image/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%
2023-12-10T22:17:44.368669image/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

2023-12-10T22:17:44.614988image/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

2023-12-10T22:17:44.812642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:44.961341image/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 

Distinct43
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.51613
Minimum0
Maximum1406
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:45.108155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median48
Q3230.5
95-th percentile1065.8
Maximum1406
Range1406
Interquartile range (IQR)214

Descriptive statistics

Standard deviation367.19972
Coefficient of variation (CV)1.5724812
Kurtosis2.5028547
Mean233.51613
Median Absolute Deviation (MAD)36
Skewness1.841342
Sum14478
Variance134835.63
MonotonicityNot monotonic
2023-12-10T22:17:45.280443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
12 7
 
11.3%
0 5
 
8.1%
22 3
 
4.8%
48 3
 
4.8%
44 2
 
3.2%
20 2
 
3.2%
62 2
 
3.2%
70 2
 
3.2%
10 2
 
3.2%
732 1
 
1.6%
Other values (33) 33
53.2%
ValueCountFrequency (%)
0 5
8.1%
10 2
 
3.2%
12 7
11.3%
14 1
 
1.6%
16 1
 
1.6%
18 1
 
1.6%
20 2
 
3.2%
22 3
4.8%
28 1
 
1.6%
30 1
 
1.6%
ValueCountFrequency (%)
1406 1
1.6%
1400 1
1.6%
1088 1
1.6%
1068 1
1.6%
1024 1
1.6%
952 1
1.6%
732 1
1.6%
646 1
1.6%
634 1
1.6%
630 1
1.6%

5~9세 수(명)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.90323
Minimum0
Maximum1466
Zeros3
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:45.544732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median45
Q3259
95-th percentile1321.6
Maximum1466
Range1466
Interquartile range (IQR)239

Descriptive statistics

Standard deviation424.43802
Coefficient of variation (CV)1.6268025
Kurtosis2.1953132
Mean260.90323
Median Absolute Deviation (MAD)35
Skewness1.8524957
Sum16176
Variance180147.63
MonotonicityNot monotonic
2023-12-10T22:17:45.775889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 5
 
8.1%
30 4
 
6.5%
0 3
 
4.8%
28 3
 
4.8%
12 3
 
4.8%
20 2
 
3.2%
36 2
 
3.2%
54 2
 
3.2%
18 2
 
3.2%
74 2
 
3.2%
Other values (32) 34
54.8%
ValueCountFrequency (%)
0 3
4.8%
10 5
8.1%
12 3
4.8%
16 2
 
3.2%
18 2
 
3.2%
20 2
 
3.2%
22 1
 
1.6%
24 1
 
1.6%
28 3
4.8%
30 4
6.5%
ValueCountFrequency (%)
1466 1
1.6%
1446 1
1.6%
1326 1
1.6%
1322 1
1.6%
1314 1
1.6%
1310 1
1.6%
888 1
1.6%
860 1
1.6%
746 1
1.6%
700 1
1.6%

10~14세 수(명)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.29032
Minimum0
Maximum1454
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:46.089802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median54
Q3248.5
95-th percentile1235.1
Maximum1454
Range1454
Interquartile range (IQR)226.5

Descriptive statistics

Standard deviation399.08438
Coefficient of variation (CV)1.5881407
Kurtosis1.9853563
Mean251.29032
Median Absolute Deviation (MAD)44
Skewness1.7996061
Sum15580
Variance159268.34
MonotonicityNot monotonic
2023-12-10T22:17:46.328944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 5
 
8.1%
0 5
 
8.1%
30 3
 
4.8%
60 3
 
4.8%
86 2
 
3.2%
38 2
 
3.2%
28 2
 
3.2%
20 2
 
3.2%
22 2
 
3.2%
66 2
 
3.2%
Other values (32) 34
54.8%
ValueCountFrequency (%)
0 5
8.1%
10 5
8.1%
14 1
 
1.6%
16 1
 
1.6%
18 1
 
1.6%
20 2
 
3.2%
22 2
 
3.2%
24 2
 
3.2%
26 2
 
3.2%
28 2
 
3.2%
ValueCountFrequency (%)
1454 1
1.6%
1342 1
1.6%
1274 1
1.6%
1242 1
1.6%
1104 1
1.6%
1056 1
1.6%
956 1
1.6%
870 1
1.6%
844 1
1.6%
740 1
1.6%

15~19세 수(명)
Real number (ℝ)

Distinct51
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.06452
Minimum14
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:46.659354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile24.1
Q141
median91
Q3356.5
95-th percentile1607.1
Maximum2022
Range2008
Interquartile range (IQR)315.5

Descriptive statistics

Standard deviation533.61332
Coefficient of variation (CV)1.486121
Kurtosis2.2194822
Mean359.06452
Median Absolute Deviation (MAD)62
Skewness1.8171006
Sum22262
Variance284743.18
MonotonicityNot monotonic
2023-12-10T22:17:46.924052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 3
 
4.8%
82 2
 
3.2%
30 2
 
3.2%
78 2
 
3.2%
134 2
 
3.2%
94 2
 
3.2%
58 2
 
3.2%
64 2
 
3.2%
36 2
 
3.2%
122 2
 
3.2%
Other values (41) 41
66.1%
ValueCountFrequency (%)
14 1
 
1.6%
18 1
 
1.6%
20 1
 
1.6%
24 1
 
1.6%
26 3
4.8%
28 1
 
1.6%
30 2
3.2%
32 1
 
1.6%
34 1
 
1.6%
36 2
3.2%
ValueCountFrequency (%)
2022 1
1.6%
1816 1
1.6%
1812 1
1.6%
1608 1
1.6%
1590 1
1.6%
1460 1
1.6%
1110 1
1.6%
1088 1
1.6%
978 1
1.6%
862 1
1.6%

20~24세 수(명)
Real number (ℝ)

Distinct52
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.87097
Minimum16
Maximum4050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:47.183192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile34
Q165
median110
Q3315
95-th percentile1528.6
Maximum4050
Range4034
Interquartile range (IQR)250

Descriptive statistics

Standard deviation668.83698
Coefficient of variation (CV)1.6938115
Kurtosis15.007701
Mean394.87097
Median Absolute Deviation (MAD)70
Skewness3.4625925
Sum24482
Variance447342.9
MonotonicityNot monotonic
2023-12-10T22:17:47.413662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 3
 
4.8%
34 3
 
4.8%
84 2
 
3.2%
272 2
 
3.2%
80 2
 
3.2%
110 2
 
3.2%
256 2
 
3.2%
152 2
 
3.2%
102 1
 
1.6%
1102 1
 
1.6%
Other values (42) 42
67.7%
ValueCountFrequency (%)
16 1
 
1.6%
28 1
 
1.6%
30 1
 
1.6%
34 3
4.8%
36 1
 
1.6%
44 1
 
1.6%
46 1
 
1.6%
50 1
 
1.6%
54 1
 
1.6%
58 1
 
1.6%
ValueCountFrequency (%)
4050 1
1.6%
2414 1
1.6%
1614 1
1.6%
1540 1
1.6%
1312 1
1.6%
1102 1
1.6%
1010 1
1.6%
1000 1
1.6%
986 1
1.6%
890 1
1.6%

25~29세 수(명)
Real number (ℝ)

Distinct53
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean373.70968
Minimum24
Maximum2586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:47.652277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile30.1
Q179.5
median127
Q3374.5
95-th percentile1349.6
Maximum2586
Range2562
Interquartile range (IQR)295

Descriptive statistics

Standard deviation540.71317
Coefficient of variation (CV)1.4468803
Kurtosis6.3696868
Mean373.70968
Median Absolute Deviation (MAD)68
Skewness2.4569135
Sum23170
Variance292370.73
MonotonicityNot monotonic
2023-12-10T22:17:47.946671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 3
 
4.8%
76 3
 
4.8%
116 2
 
3.2%
30 2
 
3.2%
134 2
 
3.2%
276 2
 
3.2%
78 2
 
3.2%
114 1
 
1.6%
544 1
 
1.6%
154 1
 
1.6%
Other values (43) 43
69.4%
ValueCountFrequency (%)
24 1
1.6%
28 1
1.6%
30 2
3.2%
32 1
1.6%
42 1
1.6%
48 1
1.6%
54 1
1.6%
60 1
1.6%
62 1
1.6%
70 1
1.6%
ValueCountFrequency (%)
2586 1
1.6%
2382 1
1.6%
1500 1
1.6%
1352 1
1.6%
1304 1
1.6%
1224 1
1.6%
1114 1
1.6%
992 1
1.6%
972 1
1.6%
950 1
1.6%

30~34세 수(명)
Real number (ℝ)

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.16129
Minimum10
Maximum2686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:48.172078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30.1
Q166.5
median110
Q3350
95-th percentile1392.3
Maximum2686
Range2676
Interquartile range (IQR)283.5

Descriptive statistics

Standard deviation518.93365
Coefficient of variation (CV)1.4448485
Kurtosis6.0200008
Mean359.16129
Median Absolute Deviation (MAD)70
Skewness2.2865263
Sum22268
Variance269292.14
MonotonicityNot monotonic
2023-12-10T22:17:48.401112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
3.2%
40 2
 
3.2%
200 2
 
3.2%
106 2
 
3.2%
78 2
 
3.2%
48 2
 
3.2%
110 2
 
3.2%
338 1
 
1.6%
50 1
 
1.6%
962 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
10 2
3.2%
26 1
1.6%
30 1
1.6%
32 1
1.6%
34 1
1.6%
38 1
1.6%
40 2
3.2%
42 1
1.6%
48 2
3.2%
50 1
1.6%
ValueCountFrequency (%)
2686 1
1.6%
1608 1
1.6%
1408 1
1.6%
1396 1
1.6%
1322 1
1.6%
1228 1
1.6%
1180 1
1.6%
1016 1
1.6%
962 1
1.6%
944 1
1.6%

35~39세 수(명)
Real number (ℝ)

Distinct50
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458.54839
Minimum12
Maximum3202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:48.615944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile36.6
Q170.5
median117
Q3435
95-th percentile1906.1
Maximum3202
Range3190
Interquartile range (IQR)364.5

Descriptive statistics

Standard deviation675.45221
Coefficient of variation (CV)1.4730228
Kurtosis4.1053216
Mean458.54839
Median Absolute Deviation (MAD)61
Skewness2.0652886
Sum28430
Variance456235.69
MonotonicityNot monotonic
2023-12-10T22:17:48.845655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116 4
 
6.5%
92 3
 
4.8%
78 2
 
3.2%
72 2
 
3.2%
178 2
 
3.2%
58 2
 
3.2%
60 2
 
3.2%
70 2
 
3.2%
48 2
 
3.2%
1552 1
 
1.6%
Other values (40) 40
64.5%
ValueCountFrequency (%)
12 1
1.6%
26 1
1.6%
34 1
1.6%
36 1
1.6%
48 2
3.2%
50 1
1.6%
52 1
1.6%
58 2
3.2%
60 2
3.2%
66 1
1.6%
ValueCountFrequency (%)
3202 1
1.6%
2024 1
1.6%
1982 1
1.6%
1908 1
1.6%
1870 1
1.6%
1824 1
1.6%
1552 1
1.6%
1342 1
1.6%
1180 1
1.6%
1116 1
1.6%

40~44세 수(명)
Real number (ℝ)

Distinct51
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474.48387
Minimum24
Maximum2920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:49.130075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile34.4
Q178
median129
Q3480
95-th percentile2075.1
Maximum2920
Range2896
Interquartile range (IQR)402

Descriptive statistics

Standard deviation687.26235
Coefficient of variation (CV)1.448442
Kurtosis2.6589095
Mean474.48387
Median Absolute Deviation (MAD)71
Skewness1.8709482
Sum29418
Variance472329.53
MonotonicityNot monotonic
2023-12-10T22:17:49.358065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 4
 
6.5%
58 2
 
3.2%
78 2
 
3.2%
178 2
 
3.2%
72 2
 
3.2%
100 2
 
3.2%
90 2
 
3.2%
108 2
 
3.2%
80 2
 
3.2%
32 1
 
1.6%
Other values (41) 41
66.1%
ValueCountFrequency (%)
24 1
1.6%
30 1
1.6%
32 1
1.6%
34 1
1.6%
42 1
1.6%
46 1
1.6%
48 1
1.6%
54 1
1.6%
58 2
3.2%
66 1
1.6%
ValueCountFrequency (%)
2920 1
1.6%
2198 1
1.6%
2104 1
1.6%
2076 1
1.6%
2058 1
1.6%
1786 1
1.6%
1534 1
1.6%
1382 1
1.6%
1268 1
1.6%
1258 1
1.6%

45~49세 수(명)
Real number (ℝ)

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.96774
Minimum36
Maximum2678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:49.601744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile70.1
Q1132
median192
Q3586.5
95-th percentile2269.6
Maximum2678
Range2642
Interquartile range (IQR)454.5

Descriptive statistics

Standard deviation723.01588
Coefficient of variation (CV)1.302807
Kurtosis1.7196199
Mean554.96774
Median Absolute Deviation (MAD)76
Skewness1.7210373
Sum34408
Variance522751.97
MonotonicityNot monotonic
2023-12-10T22:17:50.253760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 2
 
3.2%
202 2
 
3.2%
138 2
 
3.2%
252 2
 
3.2%
178 2
 
3.2%
166 2
 
3.2%
132 2
 
3.2%
96 1
 
1.6%
118 1
 
1.6%
190 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
36 1
1.6%
48 1
1.6%
62 1
1.6%
70 1
1.6%
72 1
1.6%
86 1
1.6%
92 1
1.6%
94 1
1.6%
96 1
1.6%
114 1
1.6%
ValueCountFrequency (%)
2678 1
1.6%
2502 1
1.6%
2424 1
1.6%
2270 1
1.6%
2262 1
1.6%
1826 1
1.6%
1666 1
1.6%
1598 1
1.6%
1564 1
1.6%
1532 1
1.6%

50~54세 수(명)
Real number (ℝ)

Distinct53
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568.67742
Minimum74
Maximum2422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:50.493635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile98.5
Q1194
median249
Q3667
95-th percentile2035.4
Maximum2422
Range2348
Interquartile range (IQR)473

Descriptive statistics

Standard deviation631.24867
Coefficient of variation (CV)1.1100294
Kurtosis1.431916
Mean568.67742
Median Absolute Deviation (MAD)114
Skewness1.6184783
Sum35258
Variance398474.88
MonotonicityNot monotonic
2023-12-10T22:17:50.736102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232 3
 
4.8%
200 2
 
3.2%
248 2
 
3.2%
108 2
 
3.2%
228 2
 
3.2%
258 2
 
3.2%
262 2
 
3.2%
98 2
 
3.2%
216 1
 
1.6%
190 1
 
1.6%
Other values (43) 43
69.4%
ValueCountFrequency (%)
74 1
1.6%
88 1
1.6%
98 2
3.2%
108 2
3.2%
118 1
1.6%
122 1
1.6%
124 1
1.6%
134 1
1.6%
142 1
1.6%
160 1
1.6%
ValueCountFrequency (%)
2422 1
1.6%
2194 1
1.6%
2158 1
1.6%
2036 1
1.6%
2024 1
1.6%
1656 1
1.6%
1582 1
1.6%
1562 1
1.6%
1524 1
1.6%
1358 1
1.6%

55~59세 수(명)
Real number (ℝ)

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean644.48387
Minimum102
Maximum2442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:50.959216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile150.8
Q1245.5
median340
Q3800
95-th percentile2107.5
Maximum2442
Range2340
Interquartile range (IQR)554.5

Descriptive statistics

Standard deviation628.53185
Coefficient of variation (CV)0.97524838
Kurtosis1.3532228
Mean644.48387
Median Absolute Deviation (MAD)149
Skewness1.5615027
Sum39958
Variance395052.29
MonotonicityNot monotonic
2023-12-10T22:17:51.196662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 2
 
3.2%
340 2
 
3.2%
302 2
 
3.2%
180 2
 
3.2%
300 2
 
3.2%
278 2
 
3.2%
308 2
 
3.2%
274 1
 
1.6%
286 1
 
1.6%
1688 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
102 1
1.6%
106 1
1.6%
140 1
1.6%
150 1
1.6%
166 1
1.6%
180 2
3.2%
190 2
3.2%
192 1
1.6%
212 1
1.6%
214 1
1.6%
ValueCountFrequency (%)
2442 1
1.6%
2372 1
1.6%
2218 1
1.6%
2114 1
1.6%
1984 1
1.6%
1700 1
1.6%
1688 1
1.6%
1542 1
1.6%
1506 1
1.6%
1440 1
1.6%

60~64세 수(명)
Real number (ℝ)

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.87097
Minimum78
Maximum2104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:51.477344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile146.4
Q1217
median346
Q3680
95-th percentile1598
Maximum2104
Range2026
Interquartile range (IQR)463

Descriptive statistics

Standard deviation475.47
Coefficient of variation (CV)0.89060846
Kurtosis2.1035618
Mean533.87097
Median Absolute Deviation (MAD)149
Skewness1.6437636
Sum33100
Variance226071.72
MonotonicityNot monotonic
2023-12-10T22:17:51.795621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156 2
 
3.2%
348 2
 
3.2%
288 2
 
3.2%
216 2
 
3.2%
1286 1
 
1.6%
440 1
 
1.6%
84 1
 
1.6%
140 1
 
1.6%
154 1
 
1.6%
146 1
 
1.6%
Other values (48) 48
77.4%
ValueCountFrequency (%)
78 1
1.6%
84 1
1.6%
140 1
1.6%
146 1
1.6%
154 1
1.6%
156 2
3.2%
160 1
1.6%
170 1
1.6%
190 1
1.6%
196 1
1.6%
ValueCountFrequency (%)
2104 1
1.6%
1946 1
1.6%
1626 1
1.6%
1612 1
1.6%
1332 1
1.6%
1308 1
1.6%
1286 1
1.6%
1208 1
1.6%
1196 1
1.6%
1030 1
1.6%

65~69세 수(명)
Real number (ℝ)

Distinct54
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean422.93548
Minimum82
Maximum1608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:52.037462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile113.5
Q1193.5
median278
Q3508.5
95-th percentile1057.6
Maximum1608
Range1526
Interquartile range (IQR)315

Descriptive statistics

Standard deviation346.66499
Coefficient of variation (CV)0.81966401
Kurtosis2.6758622
Mean422.93548
Median Absolute Deviation (MAD)113
Skewness1.7029707
Sum26222
Variance120176.62
MonotonicityNot monotonic
2023-12-10T22:17:52.283915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198 3
 
4.8%
224 3
 
4.8%
180 3
 
4.8%
234 2
 
3.2%
486 2
 
3.2%
510 1
 
1.6%
152 1
 
1.6%
170 1
 
1.6%
160 1
 
1.6%
144 1
 
1.6%
Other values (44) 44
71.0%
ValueCountFrequency (%)
82 1
1.6%
104 1
1.6%
106 1
1.6%
112 1
1.6%
142 1
1.6%
144 1
1.6%
152 1
1.6%
160 1
1.6%
162 1
1.6%
168 1
1.6%
ValueCountFrequency (%)
1608 1
1.6%
1568 1
1.6%
1066 1
1.6%
1058 1
1.6%
1050 1
1.6%
976 1
1.6%
974 1
1.6%
956 1
1.6%
866 1
1.6%
850 1
1.6%

70~74세 수(명)
Real number (ℝ)

Distinct52
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.25806
Minimum76
Maximum1262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:52.563370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile116.1
Q1174.5
median227
Q3425.5
95-th percentile789.6
Maximum1262
Range1186
Interquartile range (IQR)251

Descriptive statistics

Standard deviation240.57485
Coefficient of variation (CV)0.74192404
Kurtosis3.7249946
Mean324.25806
Median Absolute Deviation (MAD)95
Skewness1.8507776
Sum20104
Variance57876.26
MonotonicityNot monotonic
2023-12-10T22:17:52.859420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
176 4
 
6.5%
342 2
 
3.2%
194 2
 
3.2%
204 2
 
3.2%
222 2
 
3.2%
976 2
 
3.2%
168 2
 
3.2%
174 2
 
3.2%
184 1
 
1.6%
202 1
 
1.6%
Other values (42) 42
67.7%
ValueCountFrequency (%)
76 1
1.6%
92 1
1.6%
110 1
1.6%
116 1
1.6%
118 1
1.6%
122 1
1.6%
124 1
1.6%
126 1
1.6%
128 1
1.6%
136 1
1.6%
ValueCountFrequency (%)
1262 1
1.6%
976 2
3.2%
792 1
1.6%
744 1
1.6%
648 1
1.6%
608 1
1.6%
604 1
1.6%
556 1
1.6%
538 1
1.6%
502 1
1.6%

75~79세 수(명)
Real number (ℝ)

Distinct54
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.80645
Minimum66
Maximum1318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:53.110641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile118.4
Q1196
median254
Q3451.5
95-th percentile846.6
Maximum1318
Range1252
Interquartile range (IQR)255.5

Descriptive statistics

Standard deviation243.26218
Coefficient of variation (CV)0.72012294
Kurtosis4.7706178
Mean337.80645
Median Absolute Deviation (MAD)110
Skewness2.0080291
Sum20944
Variance59176.487
MonotonicityNot monotonic
2023-12-10T22:17:53.345159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210 2
 
3.2%
280 2
 
3.2%
138 2
 
3.2%
126 2
 
3.2%
216 2
 
3.2%
130 2
 
3.2%
244 2
 
3.2%
114 2
 
3.2%
66 1
 
1.6%
192 1
 
1.6%
Other values (44) 44
71.0%
ValueCountFrequency (%)
66 1
1.6%
114 2
3.2%
118 1
1.6%
126 2
3.2%
128 1
1.6%
130 2
3.2%
138 2
3.2%
146 1
1.6%
168 1
1.6%
190 1
1.6%
ValueCountFrequency (%)
1318 1
1.6%
1124 1
1.6%
862 1
1.6%
852 1
1.6%
744 1
1.6%
662 1
1.6%
610 1
1.6%
548 1
1.6%
540 1
1.6%
538 1
1.6%

80~84세 수(명)
Real number (ℝ)

Distinct53
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.83871
Minimum56
Maximum934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:53.577873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile70.1
Q1108.5
median197
Q3271.5
95-th percentile508.6
Maximum934
Range878
Interquartile range (IQR)163

Descriptive statistics

Standard deviation170.89324
Coefficient of variation (CV)0.7567048
Kurtosis5.6483642
Mean225.83871
Median Absolute Deviation (MAD)87
Skewness2.1117509
Sum14002
Variance29204.498
MonotonicityNot monotonic
2023-12-10T22:17:53.825026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 3
 
4.8%
152 2
 
3.2%
70 2
 
3.2%
336 2
 
3.2%
76 2
 
3.2%
72 2
 
3.2%
212 2
 
3.2%
110 2
 
3.2%
234 1
 
1.6%
204 1
 
1.6%
Other values (43) 43
69.4%
ValueCountFrequency (%)
56 1
1.6%
62 1
1.6%
70 2
3.2%
72 2
3.2%
74 1
1.6%
76 2
3.2%
82 1
1.6%
86 1
1.6%
90 1
1.6%
92 1
1.6%
ValueCountFrequency (%)
934 1
1.6%
812 1
1.6%
608 1
1.6%
512 1
1.6%
444 1
1.6%
440 1
1.6%
432 1
1.6%
424 1
1.6%
382 1
1.6%
344 1
1.6%

85~89세 수(명)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.548387
Minimum0
Maximum478
Zeros6
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:54.062307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median52
Q3118.5
95-th percentile243.8
Maximum478
Range478
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation90.735551
Coefficient of variation (CV)1.0483795
Kurtosis5.1735791
Mean86.548387
Median Absolute Deviation (MAD)40
Skewness1.9609864
Sum5366
Variance8232.9402
MonotonicityNot monotonic
2023-12-10T22:17:54.313667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 6
 
9.7%
22 4
 
6.5%
20 3
 
4.8%
46 2
 
3.2%
12 2
 
3.2%
114 2
 
3.2%
108 2
 
3.2%
28 2
 
3.2%
92 2
 
3.2%
34 2
 
3.2%
Other values (32) 35
56.5%
ValueCountFrequency (%)
0 6
9.7%
10 1
 
1.6%
12 2
 
3.2%
14 1
 
1.6%
16 1
 
1.6%
20 3
4.8%
22 4
6.5%
26 1
 
1.6%
28 2
 
3.2%
32 1
 
1.6%
ValueCountFrequency (%)
478 1
1.6%
338 1
1.6%
274 1
1.6%
244 1
1.6%
240 1
1.6%
206 1
1.6%
200 1
1.6%
192 1
1.6%
180 1
1.6%
156 1
1.6%

90~94세 수(명)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.580645
Minimum0
Maximum156
Zeros37
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:54.536187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323
95-th percentile50
Maximum156
Range156
Interquartile range (IQR)23

Descriptive statistics

Standard deviation26.570999
Coefficient of variation (CV)1.8223473
Kurtosis12.946059
Mean14.580645
Median Absolute Deviation (MAD)0
Skewness3.1006
Sum904
Variance706.01798
MonotonicityNot monotonic
2023-12-10T22:17:54.728828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 37
59.7%
10 4
 
6.5%
44 2
 
3.2%
14 2
 
3.2%
40 2
 
3.2%
26 2
 
3.2%
50 2
 
3.2%
20 2
 
3.2%
30 2
 
3.2%
12 1
 
1.6%
Other values (6) 6
 
9.7%
ValueCountFrequency (%)
0 37
59.7%
10 4
 
6.5%
12 1
 
1.6%
14 2
 
3.2%
20 2
 
3.2%
24 1
 
1.6%
26 2
 
3.2%
30 2
 
3.2%
32 1
 
1.6%
40 2
 
3.2%
ValueCountFrequency (%)
156 1
1.6%
90 1
1.6%
56 1
1.6%
50 2
3.2%
46 1
1.6%
44 2
3.2%
40 2
3.2%
32 1
1.6%
30 2
3.2%
26 2
3.2%

95~99세 수(명)
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
58 
12
 
2
24
 
1
10
 
1

Length

Max length2
Median length1
Mean length1.0645161
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
93.5%
12 2
 
3.2%
24 1
 
1.6%
10 1
 
1.6%

Length

2023-12-10T22:17:54.961542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:55.179421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
93.5%
12 2
 
3.2%
24 1
 
1.6%
10 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

2023-12-10T22:17:55.357183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:55.581406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

총 인구수(명)
Real number (ℝ)

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6880.4516
Minimum982
Maximum28430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-10T22:17:55.805237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum982
5-th percentile1456.8
Q12179
median2878
Q38646
95-th percentile26832.8
Maximum28430
Range27448
Interquartile range (IQR)6467

Descriptive statistics

Standard deviation7759.3887
Coefficient of variation (CV)1.1277441
Kurtosis1.6020018
Mean6880.4516
Median Absolute Deviation (MAD)1148
Skewness1.65093
Sum426588
Variance60208113
MonotonicityNot monotonic
2023-12-10T22:17:56.044737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3050 2
 
3.2%
2876 2
 
3.2%
17794 1
 
1.6%
6726 1
 
1.6%
1472 1
 
1.6%
1618 1
 
1.6%
1456 1
 
1.6%
1490 1
 
1.6%
15728 1
 
1.6%
13302 1
 
1.6%
Other values (50) 50
80.6%
ValueCountFrequency (%)
982 1
1.6%
1044 1
1.6%
1410 1
1.6%
1456 1
1.6%
1472 1
1.6%
1490 1
1.6%
1596 1
1.6%
1618 1
1.6%
1724 1
1.6%
1736 1
1.6%
ValueCountFrequency (%)
28430 1
1.6%
27392 1
1.6%
27022 1
1.6%
26872 1
1.6%
26088 1
1.6%
19650 1
1.6%
17794 1
1.6%
17682 1
1.6%
16746 1
1.6%
16236 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)
012017A-0010-0391S-6울산광역시 울주군 삼남면남자7326005987761102135214081552138215981656168812869745383541524600017794
122017A-0010-0391S-6울산광역시 울주군 삼남면여자5985425147328909501016118012581564152417001332956648610432244560016746
232017A-0010-0728S-6경상북도 경주시 건천읍남자1962682503283903824665386106768121008864866556538336220009106
342017A-0010-0728S-6경상북도 경주시 건천읍여자2341882441843162943323924005887301002102685079285260824030009302
452017A-0010-2583E-7충청북도 옥천군 옥천읍남자102414461454181615401304132219822198250221582442194615689768624404200027022
562017A-0010-2583E-7충청북도 옥천군 옥천읍여자95213261342159013121114122818702104226220362372210416081262131893447815624027392
672017A-0010-2626S-6충청북도 옥천군 군북면남자1444309411011694116150210278390344322176190126340002838
782017A-0010-2626S-6충청북도 옥천군 군북면여자12541088989066921001782623683682622322162129246002846
892017A-0100-0668E-6경상남도 사천시 축동면남자321004458786878908616419019614212811886280001596
9102017A-0100-0668E-6경상남도 사천시 축동면여자121814205060406658949819217016813620221010820001736
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)
52532017A-0550-1490E-4경상북도 군위군 군위읍남자2062642603662563523544444625826247406925324324122364210007266
53542017A-0550-1490E-4경상북도 군위군 군위읍여자168198200422256196270386416502570640622602500540444180101207134
54552017A-0550-1837S-4경상북도 안동시 남후면남자1210223234425436100120118212160238122210146560001724
55562017A-0550-1837S-4경상북도 안동시 남후면여자2201030162830262462108180204180222308272206901002028
56572017A-0600-0547S-4강원도 춘천시 남산면남자40988610215018416016621025229837440829828620676160003410
57582017A-0600-0547S-4강원도 춘천시 남산면여자2830461342441821201361242222284463982882382741948014003426
58592017A-0600-0636S-4강원도 춘천시 동산면남자0202824229010878527812414223221611211611472140002038
59602017A-0600-0636S-4강원도 춘천시 동산면여자016249454542658309298190156104118146104460001410
60612017A-6000-0396E-4부산광역시 금정구 선두구동남자1218388694174126114941982323402801901681286200002354
61622017A-6000-0396E-4부산광역시 금정구 선두구동여자1000681047056728615624030222622418012690200002030