Overview

Dataset statistics

Number of variables22
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)13.6%
Total size in memory11.9 KiB
Average record size in memory184.0 B

Variable types

Categorical20
Numeric2

Alerts

기관코드 has constant value ""Constant
통계표ID has constant value ""Constant
통계표명 has constant value ""Constant
분류값 ID1 has constant value ""Constant
분류값 명1 has constant value ""Constant
분류값 영문명1 has constant value ""Constant
분류명1 has constant value ""Constant
분류 영문명1 has constant value ""Constant
분류명2 has constant value ""Constant
분류 영문명2 has constant value ""Constant
항목ID has constant value ""Constant
항목명 has constant value ""Constant
항목 영문명 has constant value ""Constant
단위명 has constant value ""Constant
단위 영문명 has constant value ""Constant
수록주기 has constant value ""Constant
Dataset has 9 (13.6%) duplicate rowsDuplicates
수집날짜 is highly imbalanced (73.3%)Imbalance

Reproduction

Analysis started2024-01-14 06:41:31.355872
Analysis finished2024-01-14 06:41:31.634545
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
101
66 

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 66
100.0%

Length

2024-01-14T15:41:31.704851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:31.801953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 66
100.0%

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
INH_1B26001_A021
66 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINH_1B26001_A021
2nd rowINH_1B26001_A021
3rd rowINH_1B26001_A021
4th rowINH_1B26001_A021
5th rowINH_1B26001_A021

Common Values

ValueCountFrequency (%)
INH_1B26001_A021 66
100.0%

Length

2024-01-14T15:41:32.072729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.165027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
inh_1b26001_a021 66
100.0%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
순이동인구(시도/시/군/구)
66 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순이동인구(시도/시/군/구) 66
100.0%

Length

2024-01-14T15:41:32.276648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.384692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순이동인구(시도/시/군/구 66
100.0%

분류값 ID1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
44
66 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
44 66
100.0%

Length

2024-01-14T15:41:32.485012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.593004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44 66
100.0%

분류값 명1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
충청남도
66 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 66
100.0%

Length

2024-01-14T15:41:32.721371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:32.839291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 66
100.0%

분류값 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Chungcheongnam-do
66 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Chungcheongnam-do 66
100.0%

Length

2024-01-14T15:41:32.932332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.037543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
chungcheongnam-do 66
100.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
행정구역(시군구)별
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정구역(시군구)별 66
100.0%

Length

2024-01-14T15:41:33.138330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.252250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역(시군구)별 66
100.0%

분류 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
By administrative divisions(si gun gu)
66 

Length

Max length38
Median length38
Mean length38
Min length38

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 rowBy administrative divisions(si gun gu)
5th rowBy administrative divisions(si gun gu)

Common Values

ValueCountFrequency (%)
By administrative divisions(si gun gu) 66
100.0%

Length

2024-01-14T15:41:33.404248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.539800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 66
20.0%
administrative 66
20.0%
divisions(si 66
20.0%
gun 66
20.0%
gu 66
20.0%

분류값 ID2
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
22 
1
22 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 22
33.3%
1 22
33.3%
2 22
33.3%

Length

2024-01-14T15:41:33.664820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:33.793147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
33.3%
1 22
33.3%
2 22
33.3%

분류값 명2
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
계
22 
남자
22 
여자
22 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계 22
33.3%
남자 22
33.3%
여자 22
33.3%

Length

2024-01-14T15:41:33.916486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.019599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계 22
33.3%
남자 22
33.3%
여자 22
33.3%

분류값 영문명2
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
total
22 
Male
22 
Female
22 

Length

Max length6
Median length5
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
total 22
33.3%
Male 22
33.3%
Female 22
33.3%

Length

2024-01-14T15:41:34.163670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.285308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 22
33.3%
male 22
33.3%
female 22
33.3%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
성별
66 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성별 66
100.0%

Length

2024-01-14T15:41:34.384538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.492466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성별 66
100.0%

분류 영문명2
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
By gender
66 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy gender
2nd rowBy gender
3rd rowBy gender
4th rowBy gender
5th rowBy gender

Common Values

ValueCountFrequency (%)
By gender 66
100.0%

Length

2024-01-14T15:41:34.583066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.687058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 66
50.0%
gender 66
50.0%

항목ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
T25
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT25
2nd rowT25
3rd rowT25
4th rowT25
5th rowT25

Common Values

ValueCountFrequency (%)
T25 66
100.0%

Length

2024-01-14T15:41:34.789968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:34.884552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t25 66
100.0%

항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
순이동
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순이동 66
100.0%

Length

2024-01-14T15:41:34.978007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:35.070351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순이동 66
100.0%

항목 영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Netmigration(Administrative reports)
66 

Length

Max length36
Median length36
Mean length36
Min length36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNetmigration(Administrative reports)
2nd rowNetmigration(Administrative reports)
3rd rowNetmigration(Administrative reports)
4th rowNetmigration(Administrative reports)
5th rowNetmigration(Administrative reports)

Common Values

ValueCountFrequency (%)
Netmigration(Administrative reports) 66
100.0%

Length

2024-01-14T15:41:35.174826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:35.272118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
netmigration(administrative 66
50.0%
reports 66
50.0%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
명
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명 66
100.0%

Length

2024-01-14T15:41:35.442572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:35.545643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명 66
100.0%

단위 영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Person
66 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Person 66
100.0%

Length

2024-01-14T15:41:35.642910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:35.741928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
person 66
100.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
M
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 66
100.0%

Length

2024-01-14T15:41:35.855194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:35.946281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 66
100.0%

수록시점
Real number (ℝ)

Distinct19
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202251.59
Minimum202201
Maximum202311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-01-14T15:41:36.030207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202201
5-th percentile202202
Q1202205
median202211.5
Q3202305
95-th percentile202310
Maximum202311
Range110
Interquartile range (IQR)100

Descriptive statistics

Standard deviation50.168938
Coefficient of variation (CV)0.00024805213
Kurtosis-2.0077377
Mean202251.59
Median Absolute Deviation (MAD)10
Skewness0.18459808
Sum13348605
Variance2516.9224
MonotonicityNot monotonic
2024-01-14T15:41:36.184385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
202205 6
 
9.1%
202207 6
 
9.1%
202202 6
 
9.1%
202201 3
 
4.5%
202304 3
 
4.5%
202311 3
 
4.5%
202310 3
 
4.5%
202309 3
 
4.5%
202308 3
 
4.5%
202307 3
 
4.5%
Other values (9) 27
40.9%
ValueCountFrequency (%)
202201 3
4.5%
202202 6
9.1%
202204 3
4.5%
202205 6
9.1%
202207 6
9.1%
202209 3
4.5%
202210 3
4.5%
202211 3
4.5%
202212 3
4.5%
202301 3
4.5%
ValueCountFrequency (%)
202311 3
4.5%
202310 3
4.5%
202309 3
4.5%
202308 3
4.5%
202307 3
4.5%
202305 3
4.5%
202304 3
4.5%
202303 3
4.5%
202302 3
4.5%
202301 3
4.5%

수치값
Real number (ℝ)

Distinct56
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean832.93939
Minimum-279
Maximum1909
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)3.0%
Memory size726.0 B
2024-01-14T15:41:36.392510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-279
5-th percentile178
Q1597.75
median769.5
Q31140.5
95-th percentile1728
Maximum1909
Range2188
Interquartile range (IQR)542.75

Descriptive statistics

Standard deviation458.42479
Coefficient of variation (CV)0.55036992
Kurtosis0.20329944
Mean832.93939
Median Absolute Deviation (MAD)287.5
Skewness0.31739427
Sum54974
Variance210153.29
MonotonicityNot monotonic
2024-01-14T15:41:36.554473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
775 3
 
4.5%
612 2
 
3.0%
1151 2
 
3.0%
882 2
 
3.0%
630 2
 
3.0%
252 2
 
3.0%
640 2
 
3.0%
1252 2
 
3.0%
376 2
 
3.0%
648 1
 
1.5%
Other values (46) 46
69.7%
ValueCountFrequency (%)
-279 1
1.5%
-118 1
1.5%
161 1
1.5%
175 1
1.5%
187 1
1.5%
252 2
3.0%
328 1
1.5%
376 2
3.0%
436 1
1.5%
471 1
1.5%
ValueCountFrequency (%)
1909 1
1.5%
1902 1
1.5%
1769 1
1.5%
1756 1
1.5%
1644 1
1.5%
1536 1
1.5%
1462 1
1.5%
1412 1
1.5%
1381 1
1.5%
1277 1
1.5%

수집날짜
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
63 
20230112
 
3

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
95.5%
20230112 3
 
4.5%

Length

2024-01-14T15:41:36.957037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:41:37.140067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
95.5%
20230112 3
 
4.5%

Sample

기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
0101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM202201-118<NA>
1101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202201161<NA>
2101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202201-279<NA>
3101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202882<NA>
4101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202630<NA>
5101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202252<NA>
6101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM202211176920230112
7101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202211112420230112
8101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM20221164520230112
9101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202882<NA>
기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
56101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202308476<NA>
57101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM2023091108<NA>
58101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202309672<NA>
59101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202309436<NA>
60101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM2023101902<NA>
61101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM2023101127<NA>
62101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202310775<NA>
63101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM2023111909<NA>
64101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM2023111145<NA>
65101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202311764<NA>

Duplicate rows

Most frequently occurring

기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜# duplicates
0101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202882<NA>2
1101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM2022051151<NA>2
2101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT25순이동Netmigration(Administrative reports)명PersonM2022071252<NA>2
3101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202630<NA>2
4101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202205775<NA>2
5101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT25순이동Netmigration(Administrative reports)명PersonM202207612<NA>2
6101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202202252<NA>2
7101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202205376<NA>2
8101INH_1B26001_A021순이동인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT25순이동Netmigration(Administrative reports)명PersonM202207640<NA>2