Overview

Dataset statistics

Number of variables22
Number of observations201
Missing cells0
Missing cells (%)0.0%
Duplicate rows30
Duplicate rows (%)14.9%
Total size in memory35.5 KiB
Average record size in memory180.7 B

Variable types

Categorical21
Numeric1

Alerts

기관코드 has constant value ""Constant
통계표ID has constant value ""Constant
Dataset has 30 (14.9%) duplicate rowsDuplicates
분류값 ID1 is highly imbalanced (88.8%)Imbalance
분류값 영문명1 is highly imbalanced (88.8%)Imbalance
분류명1 is highly imbalanced (88.8%)Imbalance
분류 영문명1 is highly imbalanced (88.8%)Imbalance
분류값 영문명2 is highly imbalanced (93.2%)Imbalance
분류명2 is highly imbalanced (88.8%)Imbalance
분류 영문명2 is highly imbalanced (88.8%)Imbalance
항목ID is highly imbalanced (88.8%)Imbalance
항목명 is highly imbalanced (88.8%)Imbalance
항목 영문명 is highly imbalanced (88.8%)Imbalance
단위명 is highly imbalanced (88.8%)Imbalance
단위 영문명 is highly imbalanced (88.8%)Imbalance
수록시점 is highly imbalanced (88.8%)Imbalance
수치값 is highly imbalanced (93.2%)Imbalance
수집날짜 is highly imbalanced (88.8%)Imbalance

Reproduction

Analysis started2024-01-14 06:41:28.155309
Analysis finished2024-01-14 06:41:28.375280
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
101
201 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 201
100.0%

Length

2024-01-14T15:41:28.473510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:28.596552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 201
100.0%

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
INH_1B26001_A023
201 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINH_1B26001_A023
2nd rowINH_1B26001_A023
3rd rowINH_1B26001_A023
4th rowINH_1B26001_A023
5th rowINH_1B26001_A023

Common Values

ValueCountFrequency (%)
INH_1B26001_A023 201
100.0%

Length

2024-01-14T15:41:28.751959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:28.891915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
inh_1b26001_a023 201
100.0%

통계표명
Categorical

Distinct34
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20224
 
11
9537
 
11
10687
 
11
24311
 
10
12912
 
10
Other values (29)
148 

Length

Max length14
Median length5
Mean length4.8557214
Min length4

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row전출인구(시도/시/군/구)
2nd row전출인구(시도/시/군/구)
3rd row전출인구(시도/시/군/구)
4th row20224
5th row10687

Common Values

ValueCountFrequency (%)
20224 11
 
5.5%
9537 11
 
5.5%
10687 11
 
5.5%
24311 10
 
5.0%
12912 10
 
5.0%
11399 10
 
5.0%
26918 9
 
4.5%
14004 9
 
4.5%
12914 9
 
4.5%
25201 8
 
4.0%
Other values (24) 103
51.2%

Length

2024-01-14T15:41:29.038127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20224 11
 
5.5%
10687 11
 
5.5%
9537 11
 
5.5%
24311 10
 
5.0%
12912 10
 
5.0%
11399 10
 
5.0%
26918 9
 
4.5%
14004 9
 
4.5%
12914 9
 
4.5%
25201 8
 
4.0%
Other values (24) 103
51.2%

분류값 ID1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
T20
198 
44
 
3

Length

Max length3
Median length3
Mean length2.9850746
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44
2nd row44
3rd row44
4th rowT20
5th rowT20

Common Values

ValueCountFrequency (%)
T20 198
98.5%
44 3
 
1.5%

Length

2024-01-14T15:41:29.192222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:29.311341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t20 198
98.5%
44 3
 
1.5%

분류값 명1
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
66 
1
66 
2
66 
충청남도
 
3

Length

Max length4
Median length1
Mean length1.0447761
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row충청남도
3rd row충청남도
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 66
32.8%
1 66
32.8%
2 66
32.8%
충청남도 3
 
1.5%

Length

2024-01-14T15:41:29.446966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:29.595475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
32.8%
1 66
32.8%
2 66
32.8%
충청남도 3
 
1.5%

분류값 영문명1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
성별
198 
Chungcheongnam-do
 
3

Length

Max length17
Median length2
Mean length2.2238806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChungcheongnam-do
2nd rowChungcheongnam-do
3rd rowChungcheongnam-do
4th row성별
5th row성별

Common Values

ValueCountFrequency (%)
성별 198
98.5%
Chungcheongnam-do 3
 
1.5%

Length

2024-01-14T15:41:29.735574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:29.839817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성별 198
98.5%
chungcheongnam-do 3
 
1.5%

분류명1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
By administrative divisions(si gun gu)
198 
행정구역(시군구)별
 
3

Length

Max length38
Median length38
Mean length37.58209
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행정구역(시군구)별
2nd row행정구역(시군구)별
3rd row행정구역(시군구)별
4th rowBy administrative divisions(si gun gu)
5th rowBy administrative divisions(si gun gu)

Common Values

ValueCountFrequency (%)
By administrative divisions(si gun gu) 198
98.5%
행정구역(시군구)별 3
 
1.5%

Length

2024-01-14T15:41:29.944801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:30.042162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 198
19.9%
administrative 198
19.9%
divisions(si 198
19.9%
gun 198
19.9%
gu 198
19.9%
행정구역(시군구)별 3
 
0.3%

분류 영문명1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
충청남도
198 
By administrative divisions(si gun gu)
 
3

Length

Max length38
Median length4
Mean length4.5074627
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy administrative divisions(si gun gu)
2nd rowBy administrative divisions(si gun gu)
3rd rowBy administrative divisions(si gun gu)
4th row충청남도
5th row충청남도

Common Values

ValueCountFrequency (%)
충청남도 198
98.5%
By administrative divisions(si gun gu) 3
 
1.5%

Length

2024-01-14T15:41:30.165639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:30.260740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 198
93.0%
by 3
 
1.4%
administrative 3
 
1.4%
divisions(si 3
 
1.4%
gun 3
 
1.4%
gu 3
 
1.4%

분류값 ID2
Real number (ℝ)

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199269.67
Minimum0
Maximum202311
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-14T15:41:30.350750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile202212
Q1202301
median202303
Q3202305
95-th percentile202309
Maximum202311
Range202311
Interquartile range (IQR)4

Descriptive statistics

Standard deviation24589.546
Coefficient of variation (CV)0.12339834
Kurtosis63.616108
Mean199269.67
Median Absolute Deviation (MAD)2
Skewness-8.0612062
Sum40053204
Variance6.0464578 × 108
MonotonicityNot monotonic
2024-01-14T15:41:30.487482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
202212 33
16.4%
202301 30
14.9%
202302 27
13.4%
202303 24
11.9%
202304 21
10.4%
202305 18
9.0%
202307 15
7.5%
202308 12
 
6.0%
202309 9
 
4.5%
202310 6
 
3.0%
Other values (4) 6
 
3.0%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
202212 33
16.4%
202301 30
14.9%
202302 27
13.4%
202303 24
11.9%
202304 21
10.4%
202305 18
9.0%
202307 15
7.5%
ValueCountFrequency (%)
202311 3
 
1.5%
202310 6
 
3.0%
202309 9
 
4.5%
202308 12
 
6.0%
202307 15
7.5%
202305 18
9.0%
202304 21
10.4%
202303 24
11.9%
202302 27
13.4%
202301 30
14.9%

분류값 명2
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
total
66 
Male
66 
Female
66 
계
 
1
남자
 
1

Length

Max length6
Median length5
Mean length4.9502488
Min length1

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row계
2nd row남자
3rd row여자
4th rowtotal
5th rowMale

Common Values

ValueCountFrequency (%)
total 66
32.8%
Male 66
32.8%
Female 66
32.8%
계 1
 
0.5%
남자 1
 
0.5%
여자 1
 
0.5%

Length

2024-01-14T15:41:30.644839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:30.780900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 66
32.8%
male 66
32.8%
female 66
32.8%
계 1
 
0.5%
남자 1
 
0.5%
여자 1
 
0.5%

분류값 영문명2
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Chungcheongnam-do
198 
total
 
1
Male
 
1
Female
 
1

Length

Max length17
Median length17
Mean length16.820896
Min length4

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st rowtotal
2nd rowMale
3rd rowFemale
4th rowChungcheongnam-do
5th rowChungcheongnam-do

Common Values

ValueCountFrequency (%)
Chungcheongnam-do 198
98.5%
total 1
 
0.5%
Male 1
 
0.5%
Female 1
 
0.5%

Length

2024-01-14T15:41:30.958862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:31.111324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
chungcheongnam-do 198
98.5%
total 1
 
0.5%
male 1
 
0.5%
female 1
 
0.5%

분류명2
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
전출인구(시도/시/군/구)
198 
성별
 
3

Length

Max length14
Median length14
Mean length13.820896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성별
2nd row성별
3rd row성별
4th row전출인구(시도/시/군/구)
5th row전출인구(시도/시/군/구)

Common Values

ValueCountFrequency (%)
전출인구(시도/시/군/구) 198
98.5%
성별 3
 
1.5%

Length

2024-01-14T15:41:31.254183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:31.551347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전출인구(시도/시/군/구 198
98.5%
성별 3
 
1.5%

분류 영문명2
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
행정구역(시군구)별
198 
By gender
 
3

Length

Max length10
Median length10
Mean length9.9850746
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy gender
2nd rowBy gender
3rd rowBy gender
4th row행정구역(시군구)별
5th row행정구역(시군구)별

Common Values

ValueCountFrequency (%)
행정구역(시군구)별 198
98.5%
By gender 3
 
1.5%

Length

2024-01-14T15:41:31.648210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:31.749294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역(시군구)별 198
97.1%
by 3
 
1.5%
gender 3
 
1.5%

항목ID
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
M
198 
T20
 
3

Length

Max length3
Median length1
Mean length1.0298507
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT20
2nd rowT20
3rd rowT20
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 198
98.5%
T20 3
 
1.5%

Length

2024-01-14T15:41:31.896765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.013247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 198
98.5%
t20 3
 
1.5%

항목명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Total out-migrants
198 
총전출
 
3

Length

Max length18
Median length18
Mean length17.776119
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총전출
2nd row총전출
3rd row총전출
4th rowTotal out-migrants
5th rowTotal out-migrants

Common Values

ValueCountFrequency (%)
Total out-migrants 198
98.5%
총전출 3
 
1.5%

Length

2024-01-14T15:41:32.177025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.313381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 198
49.6%
out-migrants 198
49.6%
총전출 3
 
0.8%

항목 영문명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
By gender
198 
Total out-migrants
 
3

Length

Max length18
Median length9
Mean length9.1343284
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal out-migrants
2nd rowTotal out-migrants
3rd rowTotal out-migrants
4th rowBy gender
5th rowBy gender

Common Values

ValueCountFrequency (%)
By gender 198
98.5%
Total out-migrants 3
 
1.5%

Length

2024-01-14T15:41:32.446543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.563362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 198
49.3%
gender 198
49.3%
total 3
 
0.7%
out-migrants 3
 
0.7%

단위명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
총전출
198 
명
 
3

Length

Max length3
Median length3
Mean length2.9701493
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row명
2nd row명
3rd row명
4th row총전출
5th row총전출

Common Values

ValueCountFrequency (%)
총전출 198
98.5%
명 3
 
1.5%

Length

2024-01-14T15:41:32.694304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.822242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총전출 198
98.5%
명 3
 
1.5%

단위 영문명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
명
198 
Person
 
3

Length

Max length6
Median length1
Mean length1.0746269
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPerson
2nd rowPerson
3rd rowPerson
4th row명
5th row명

Common Values

ValueCountFrequency (%)
명 198
98.5%
Person 3
 
1.5%

Length

2024-01-14T15:41:32.926250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.031341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명 198
98.5%
person 3
 
1.5%

수록주기
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
계
66 
남자
66 
여자
66 
M
 
3

Length

Max length2
Median length2
Mean length1.6567164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th row계
5th row남자

Common Values

ValueCountFrequency (%)
계 66
32.8%
남자 66
32.8%
여자 66
32.8%
M 3
 
1.5%

Length

2024-01-14T15:41:33.155042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.318179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계 66
32.8%
남자 66
32.8%
여자 66
32.8%
m 3
 
1.5%

수록시점
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Person
198 
202211
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202211
2nd row202211
3rd row202211
4th rowPerson
5th rowPerson

Common Values

ValueCountFrequency (%)
Person 198
98.5%
202211 3
 
1.5%

Length

2024-01-14T15:41:33.457520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.554213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
person 198
98.5%
202211 3
 
1.5%

수치값
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
44
198 
18186
 
1
9803
 
1
8383
 
1

Length

Max length5
Median length2
Mean length2.0348259
Min length2

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row18186
2nd row9803
3rd row8383
4th row44
5th row44

Common Values

ValueCountFrequency (%)
44 198
98.5%
18186 1
 
0.5%
9803 1
 
0.5%
8383 1
 
0.5%

Length

2024-01-14T15:41:33.675704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.809643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44 198
98.5%
18186 1
 
0.5%
9803 1
 
0.5%
8383 1
 
0.5%

수집날짜
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
198 
20230112
 
3

Length

Max length8
Median length4
Mean length4.0597015
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20230112
2nd row20230112
3rd row20230112
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 198
98.5%
20230112 3
 
1.5%

Length

2024-01-14T15:41:33.928069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.041541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
98.5%
20230112 3
 
1.5%

Sample

기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
0101INH_1B26001_A023전출인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT20총전출Total out-migrants명PersonM2022111818620230112
1101INH_1B26001_A023전출인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT20총전출Total out-migrants명PersonM202211980320230112
2101INH_1B26001_A023전출인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT20총전출Total out-migrants명PersonM202211838320230112
3101INH_1B26001_A02320224T200성별By administrative divisions(si gun gu)충청남도202212totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
4101INH_1B26001_A02310687T201성별By administrative divisions(si gun gu)충청남도202212MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>
5101INH_1B26001_A0239537T202성별By administrative divisions(si gun gu)충청남도202212FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>
6101INH_1B26001_A02320224T200성별By administrative divisions(si gun gu)충청남도202212totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
7101INH_1B26001_A02310687T201성별By administrative divisions(si gun gu)충청남도202212MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>
8101INH_1B26001_A0239537T202성별By administrative divisions(si gun gu)충청남도202212FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>
9101INH_1B26001_A02324311T200성별By administrative divisions(si gun gu)충청남도202301totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
191101INH_1B26001_A0238710T202성별By administrative divisions(si gun gu)충청남도202305FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>
192101INH_1B26001_A02318553T200성별By administrative divisions(si gun gu)충청남도202307totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
193101INH_1B26001_A0239963T201성별By administrative divisions(si gun gu)충청남도202307MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>
194101INH_1B26001_A0238590T202성별By administrative divisions(si gun gu)충청남도202307FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>
195101INH_1B26001_A02323452T200성별By administrative divisions(si gun gu)충청남도202308totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
196101INH_1B26001_A02312374T201성별By administrative divisions(si gun gu)충청남도202308MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>
197101INH_1B26001_A02311078T202성별By administrative divisions(si gun gu)충청남도202308FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>
198101INH_1B26001_A02318501T200성별By administrative divisions(si gun gu)충청남도202309totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>
199101INH_1B26001_A0239800T201성별By administrative divisions(si gun gu)충청남도202309MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>
200101INH_1B26001_A0238701T202성별By administrative divisions(si gun gu)충청남도202309FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>

Duplicate rows

Most frequently occurring

기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜# duplicates
1101INH_1B26001_A02310687T201성별By administrative divisions(si gun gu)충청남도202212MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>11
15101INH_1B26001_A02320224T200성별By administrative divisions(si gun gu)충청남도202212totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>11
26101INH_1B26001_A0239537T202성별By administrative divisions(si gun gu)충청남도202212FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>11
3101INH_1B26001_A02311399T202성별By administrative divisions(si gun gu)충청남도202301FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>10
6101INH_1B26001_A02312912T201성별By administrative divisions(si gun gu)충청남도202301MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>10
17101INH_1B26001_A02324311T200성별By administrative divisions(si gun gu)충청남도202301totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>10
7101INH_1B26001_A02312914T202성별By administrative divisions(si gun gu)충청남도202302FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>9
9101INH_1B26001_A02314004T201성별By administrative divisions(si gun gu)충청남도202302MaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명남자Person44<NA>9
19101INH_1B26001_A02326918T200성별By administrative divisions(si gun gu)충청남도202302totalChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명계Person44<NA>9
4101INH_1B26001_A02311760T202성별By administrative divisions(si gun gu)충청남도202303FemaleChungcheongnam-do전출인구(시도/시/군/구)행정구역(시군구)별MTotal out-migrantsBy gender총전출명여자Person44<NA>8