Overview

Dataset statistics

Number of variables7
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory60.7 B

Variable types

Categorical1
Text1
Numeric4
DateTime1

Dataset

Description경상북도 울진군 관내 인구현황에 대한 데이터로 읍면, 리, 총인굿, 남자수, 여자수, 세대수 등의 정보를 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/15030511/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
총인구수 is highly overall correlated with 남자수 and 2 other fieldsHigh correlation
남자수 is highly overall correlated with 총인구수 and 2 other fieldsHigh correlation
여자수 is highly overall correlated with 총인구수 and 2 other fieldsHigh correlation
세대수 is highly overall correlated with 총인구수 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 14:00:44.210104
Analysis finished2023-12-12 14:00:46.128858
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct10
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
북면
29 
울진읍
27 
기성면
24 
온정면
22 
근남면
20 
Other values (5)
74 

Length

Max length4
Median length3
Mean length2.9132653
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북면 29
14.8%
울진읍 27
13.8%
기성면 24
12.2%
온정면 22
11.2%
근남면 20
10.2%
평해읍 16
8.2%
매화면 16
8.2%
죽변면 15
7.7%
후포면 15
7.7%
금강송면 12
6.1%

Length

2023-12-12T23:00:46.261723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:46.470184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북면 29
14.8%
울진읍 27
13.8%
기성면 24
12.2%
온정면 22
11.2%
근남면 20
10.2%
평해읍 16
8.2%
매화면 16
8.2%
죽변면 15
7.7%
후포면 15
7.7%
금강송면 12
6.1%

리
Text

Distinct194
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T23:00:46.872913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9336735
Min length3

Characters and Unicode

Total characters771
Distinct characters95
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)98.0%

Sample

1st row읍내1리
2nd row읍내2리
3rd row읍내3리
4th row읍내4리
5th row읍내5리
ValueCountFrequency (%)
구산1리 2
 
1.0%
구산2리 2
 
1.0%
삼근1리 1
 
0.5%
선구2리 1
 
0.5%
읍내1리 1
 
0.5%
선구1리 1
 
0.5%
덕인1리 1
 
0.5%
덕인2리 1
 
0.5%
덕인3리 1
 
0.5%
금천1리 1
 
0.5%
Other values (184) 184
93.9%
2023-12-12T23:00:47.424802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 194
25.2%
1 67
 
8.7%
2 67
 
8.7%
3 30
 
3.9%
산 26
 
3.4%
곡 20
 
2.6%
구 13
 
1.7%
4 12
 
1.6%
정 11
 
1.4%
후 11
 
1.4%
Other values (85) 320
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
76.3%
Decimal Number 183
 
23.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 194
33.0%
산 26
 
4.4%
곡 20
 
3.4%
구 13
 
2.2%
정 11
 
1.9%
후 11
 
1.9%
금 11
 
1.9%
포 11
 
1.9%
덕 11
 
1.9%
삼 10
 
1.7%
Other values (78) 270
45.9%
Decimal Number
ValueCountFrequency (%)
1 67
36.6%
2 67
36.6%
3 30
16.4%
4 12
 
6.6%
5 4
 
2.2%
6 2
 
1.1%
7 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
76.3%
Common 183
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 194
33.0%
산 26
 
4.4%
곡 20
 
3.4%
구 13
 
2.2%
정 11
 
1.9%
후 11
 
1.9%
금 11
 
1.9%
포 11
 
1.9%
덕 11
 
1.9%
삼 10
 
1.7%
Other values (78) 270
45.9%
Common
ValueCountFrequency (%)
1 67
36.6%
2 67
36.6%
3 30
16.4%
4 12
 
6.6%
5 4
 
2.2%
6 2
 
1.1%
7 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
76.3%
ASCII 183
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 194
33.0%
산 26
 
4.4%
곡 20
 
3.4%
구 13
 
2.2%
정 11
 
1.9%
후 11
 
1.9%
금 11
 
1.9%
포 11
 
1.9%
덕 11
 
1.9%
삼 10
 
1.7%
Other values (78) 270
45.9%
ASCII
ValueCountFrequency (%)
1 67
36.6%
2 67
36.6%
3 30
16.4%
4 12
 
6.6%
5 4
 
2.2%
6 2
 
1.1%
7 1
 
0.5%

총인구수
Real number (ℝ)

HIGH CORRELATION 

Distinct137
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.58673
Minimum0
Maximum3665
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:00:47.947358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.5
Q172
median107
Q3221.5
95-th percentile913.75
Maximum3665
Range3665
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation427.4237
Coefficient of variation (CV)1.7475343
Kurtosis27.88322
Mean244.58673
Median Absolute Deviation (MAD)47
Skewness4.6944703
Sum47939
Variance182691.02
MonotonicityNot monotonic
2023-12-12T23:00:48.100633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 5
 
2.6%
60 5
 
2.6%
92 5
 
2.6%
64 4
 
2.0%
101 3
 
1.5%
86 3
 
1.5%
103 3
 
1.5%
116 3
 
1.5%
48 3
 
1.5%
79 3
 
1.5%
Other values (127) 159
81.1%
ValueCountFrequency (%)
0 1
0.5%
23 2
1.0%
24 2
1.0%
28 2
1.0%
33 1
0.5%
34 1
0.5%
35 1
0.5%
37 2
1.0%
38 2
1.0%
39 1
0.5%
ValueCountFrequency (%)
3665 1
0.5%
2654 1
0.5%
2156 1
0.5%
1528 1
0.5%
1497 1
0.5%
1456 1
0.5%
1397 1
0.5%
1112 1
0.5%
1052 1
0.5%
982 1
0.5%

남자수
Real number (ℝ)

HIGH CORRELATION 

Distinct117
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.75
Minimum0
Maximum1852
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:00:48.235309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q134.75
median51
Q3113.25
95-th percentile462.25
Maximum1852
Range1852
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation219.1331
Coefficient of variation (CV)1.7851984
Kurtosis28.195397
Mean122.75
Median Absolute Deviation (MAD)23
Skewness4.7514273
Sum24059
Variance48019.317
MonotonicityNot monotonic
2023-12-12T23:00:48.393965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 9
 
4.6%
34 6
 
3.1%
46 6
 
3.1%
62 4
 
2.0%
47 4
 
2.0%
20 4
 
2.0%
33 4
 
2.0%
43 4
 
2.0%
28 4
 
2.0%
49 3
 
1.5%
Other values (107) 148
75.5%
ValueCountFrequency (%)
0 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
10 2
1.0%
12 1
 
0.5%
15 2
1.0%
16 1
 
0.5%
18 2
1.0%
19 2
1.0%
20 4
2.0%
ValueCountFrequency (%)
1852 1
0.5%
1442 1
0.5%
1104 1
0.5%
811 1
0.5%
735 1
0.5%
726 1
0.5%
658 1
0.5%
556 1
0.5%
542 1
0.5%
484 1
0.5%

여자수
Real number (ℝ)

HIGH CORRELATION 

Distinct120
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.9898
Minimum0
Maximum1813
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:00:48.537036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.75
Q135.75
median55.5
Q3109.25
95-th percentile454.5
Maximum1813
Range1813
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation208.81885
Coefficient of variation (CV)1.7117731
Kurtosis27.708233
Mean121.9898
Median Absolute Deviation (MAD)25.5
Skewness4.6480493
Sum23910
Variance43605.313
MonotonicityNot monotonic
2023-12-12T23:00:48.700083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 6
 
3.1%
56 4
 
2.0%
59 4
 
2.0%
36 4
 
2.0%
41 4
 
2.0%
43 4
 
2.0%
52 3
 
1.5%
30 3
 
1.5%
19 3
 
1.5%
61 3
 
1.5%
Other values (110) 158
80.6%
ValueCountFrequency (%)
0 1
 
0.5%
12 2
1.0%
13 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
18 3
1.5%
19 3
1.5%
20 2
1.0%
21 2
1.0%
ValueCountFrequency (%)
1813 1
0.5%
1212 1
0.5%
1052 1
0.5%
802 1
0.5%
739 1
0.5%
721 1
0.5%
686 1
0.5%
556 1
0.5%
510 1
0.5%
498 1
0.5%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct123
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.93367
Minimum0
Maximum1635
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:00:48.829998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.5
Q144
median65.5
Q3135.75
95-th percentile432
Maximum1635
Range1635
Interquartile range (IQR)91.75

Descriptive statistics

Standard deviation189.66364
Coefficient of variation (CV)1.4596959
Kurtosis23.892383
Mean129.93367
Median Absolute Deviation (MAD)26.5
Skewness4.2063381
Sum25467
Variance35972.298
MonotonicityNot monotonic
2023-12-12T23:00:48.981410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.1%
42 6
 
3.1%
50 6
 
3.1%
34 5
 
2.6%
62 4
 
2.0%
49 4
 
2.0%
59 4
 
2.0%
69 4
 
2.0%
76 4
 
2.0%
25 3
 
1.5%
Other values (113) 150
76.5%
ValueCountFrequency (%)
0 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
17 1
 
0.5%
19 2
1.0%
20 1
 
0.5%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
25 3
1.5%
ValueCountFrequency (%)
1635 1
0.5%
994 1
0.5%
869 1
0.5%
756 1
0.5%
753 1
0.5%
720 1
0.5%
633 1
0.5%
583 1
0.5%
470 1
0.5%
444 1
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2021-09-30 00:00:00
Maximum2021-09-30 00:00:00
2023-12-12T23:00:49.097686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:49.183791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:00:45.557474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.458445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.813977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.186840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.650001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.551923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.900511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.273717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.741541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.649348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.003456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.358983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.836471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:44.730656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.097117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:45.467557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:00:49.267699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면총인구수남자수여자수세대수
읍면1.0000.2650.3440.3070.260
총인구수0.2651.0000.9990.9940.990
남자수0.3440.9991.0000.9950.989
여자수0.3070.9940.9951.0000.990
세대수0.2600.9900.9890.9901.000
2023-12-12T23:00:49.374829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총인구수남자수여자수세대수읍면
총인구수1.0000.9880.9900.9850.128
남자수0.9881.0000.9620.9760.170
여자수0.9900.9621.0000.9770.150
세대수0.9850.9760.9771.0000.125
읍면0.1280.1700.1500.1251.000

Missing values

2023-12-12T23:00:45.956971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:00:46.069011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

읍면리총인구수남자수여자수세대수데이터기준일자
0울진읍읍내1리8674274403892021-09-30
1울진읍읍내2리14567357216332021-09-30
2울진읍읍내3리36651852181316352021-09-30
3울진읍읍내4리9824844984442021-09-30
4울진읍읍내5리2156110410528692021-09-30
5울진읍읍남1리2261171091132021-09-30
6울진읍읍남2리1488167652021-09-30
7울진읍읍남3리843351482021-09-30
8울진읍읍남4리211117941142021-09-30
9울진읍연지1리3601771831702021-09-30
읍면리총인구수남자수여자수세대수데이터기준일자
186매화면오산3리1034855812021-09-30
187매화면덕신1리2561221341422021-09-30
188매화면덕신2리341519252021-09-30
189매화면신흥1리924052522021-09-30
190매화면신흥2리854243592021-09-30
191매화면기양1리1246361682021-09-30
192매화면기양2리793643492021-09-30
193매화면기양3리874443532021-09-30
194매화면갈면리1486979922021-09-30
195매화면길곡리843747522021-09-30