Overview

Dataset statistics

Number of variables25
Number of observations978
Missing cells24179
Missing cells (%)98.9%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory213.1 KiB
Average record size in memory223.1 B

Variable types

Text2
Numeric10
Unsupported13

Dataset

Description화성시 읍면동별, 남녀별 인구 현황
Author경기도 화성시
URLhttps://www.data.go.kr/data/3046598/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
읍면동 has 954 (97.5%) missing valuesMissing
세대수 has 954 (97.5%) missing valuesMissing
인 구 수 has 954 (97.5%) missing valuesMissing
남 has 954 (97.5%) missing valuesMissing
여 has 954 (97.5%) missing valuesMissing
전월말 인구수 has 954 (97.5%) missing valuesMissing
전년 12월말 인구수 has 954 (97.5%) missing valuesMissing
인구 전월말 has 954 (97.5%) missing valuesMissing
인구 전년동기 has 954 (97.5%) missing valuesMissing
세대 전월말 has 954 (97.5%) missing valuesMissing
세대 전년동기 has 954 (97.5%) missing valuesMissing
비고 has 971 (99.3%) missing valuesMissing
Unnamed: 12 has 978 (100.0%) missing valuesMissing
Unnamed: 13 has 978 (100.0%) missing valuesMissing
Unnamed: 14 has 978 (100.0%) missing valuesMissing
Unnamed: 15 has 978 (100.0%) missing valuesMissing
Unnamed: 16 has 978 (100.0%) missing valuesMissing
Unnamed: 17 has 978 (100.0%) missing valuesMissing
Unnamed: 18 has 978 (100.0%) missing valuesMissing
Unnamed: 19 has 978 (100.0%) missing valuesMissing
Unnamed: 20 has 978 (100.0%) missing valuesMissing
Unnamed: 21 has 978 (100.0%) missing valuesMissing
Unnamed: 22 has 978 (100.0%) missing valuesMissing
Unnamed: 23 has 978 (100.0%) missing valuesMissing
Unnamed: 24 has 978 (100.0%) missing valuesMissing
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 15:00:15.601913
Analysis finished2023-12-12 15:00:15.856329
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Memory size7.8 KiB
2023-12-13T00:00:15.985644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.5
Min length4

Characters and Unicode

Total characters276
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row봉담읍
2nd row우정읍
3rd row향남읍
4th row남양읍
5th row매송면
ValueCountFrequency (%)
우정읍 1
 
4.2%
향남읍 1
 
4.2%
동탄4동 1
 
4.2%
동탄3동 1
 
4.2%
동탄2동 1
 
4.2%
동탄1동 1
 
4.2%
화산동 1
 
4.2%
기배동 1
 
4.2%
반월동 1
 
4.2%
병점2동 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T00:00:16.228098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
71.7%
동 15
 
5.4%
면 10
 
3.6%
탄 6
 
2.2%
읍 4
 
1.4%
남 3
 
1.1%
산 2
 
0.7%
병 2
 
0.7%
안 2
 
0.7%
점 2
 
0.7%
Other values (26) 32
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Space Separator 198
71.7%
Other Letter 72
 
26.1%
Decimal Number 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
20.8%
면 10
13.9%
탄 6
 
8.3%
읍 4
 
5.6%
남 3
 
4.2%
산 2
 
2.8%
병 2
 
2.8%
안 2
 
2.8%
점 2
 
2.8%
정 2
 
2.8%
Other values (21) 24
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 2
33.3%
3 1
16.7%
4 1
16.7%
Space Separator
ValueCountFrequency (%)
198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
73.9%
Hangul 72
 
26.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
20.8%
면 10
13.9%
탄 6
 
8.3%
읍 4
 
5.6%
남 3
 
4.2%
산 2
 
2.8%
병 2
 
2.8%
안 2
 
2.8%
점 2
 
2.8%
정 2
 
2.8%
Other values (21) 24
33.3%
Common
ValueCountFrequency (%)
198
97.1%
1 2
 
1.0%
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
73.9%
Hangul 72
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
97.1%
1 2
 
1.0%
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
Hangul
ValueCountFrequency (%)
동 15
20.8%
면 10
13.9%
탄 6
 
8.3%
읍 4
 
5.6%
남 3
 
4.2%
산 2
 
2.8%
병 2
 
2.8%
안 2
 
2.8%
점 2
 
2.8%
정 2
 
2.8%
Other values (21) 24
33.3%

세대수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean11240.917
Minimum2304
Maximum34039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:16.332477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2304
5-th percentile2989.95
Q15188.25
median8578.5
Q314713.5
95-th percentile30328.55
Maximum34039
Range31735
Interquartile range (IQR)9525.25

Descriptive statistics

Standard deviation8895.4788
Coefficient of variation (CV)0.79134817
Kurtosis1.2014253
Mean11240.917
Median Absolute Deviation (MAD)4243.5
Skewness1.3847608
Sum269782
Variance79129543
MonotonicityNot monotonic
2023-12-13T00:00:16.431636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7538 1
 
0.1%
30959 1
 
0.1%
15915 1
 
0.1%
11922 1
 
0.1%
19598 1
 
0.1%
9845 1
 
0.1%
4889 1
 
0.1%
10049 1
 
0.1%
8826 1
 
0.1%
10571 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
2304 1
0.1%
2916 1
0.1%
3409 1
0.1%
3640 1
0.1%
3781 1
0.1%
4889 1
0.1%
5288 1
0.1%
5327 1
0.1%
5836 1
0.1%
5840 1
0.1%
ValueCountFrequency (%)
34039 1
0.1%
30959 1
0.1%
26756 1
0.1%
19598 1
0.1%
17890 1
0.1%
15915 1
0.1%
14313 1
0.1%
11922 1
0.1%
10571 1
0.1%
10049 1
0.1%

인 구 수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean28795.25
Minimum4191
Maximum91439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:16.529647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4191
5-th percentile6046
Q110536.5
median22069
Q337788.75
95-th percentile79380.15
Maximum91439
Range87248
Interquartile range (IQR)27252.25

Descriptive statistics

Standard deviation24549.91
Coefficient of variation (CV)0.85256805
Kurtosis1.0438898
Mean28795.25
Median Absolute Deviation (MAD)12911
Skewness1.3174414
Sum691086
Variance6.0269809 × 108
MonotonicityNot monotonic
2023-12-13T00:00:16.617032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19615 1
 
0.1%
91439 1
 
0.1%
43903 1
 
0.1%
37353 1
 
0.1%
53398 1
 
0.1%
24523 1
 
0.1%
14571 1
 
0.1%
31009 1
 
0.1%
26151 1
 
0.1%
29213 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
4191 1
0.1%
5920 1
0.1%
6760 1
0.1%
7117 1
0.1%
8033 1
0.1%
10283 1
0.1%
10621 1
0.1%
11235 1
0.1%
11913 1
0.1%
14571 1
0.1%
ValueCountFrequency (%)
91439 1
0.1%
80328 1
0.1%
74009 1
0.1%
53398 1
0.1%
43903 1
0.1%
39096 1
0.1%
37353 1
0.1%
32298 1
0.1%
31009 1
0.1%
29213 1
0.1%

남
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean14890.875
Minimum2489
Maximum45695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:16.740011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2489
5-th percentile3374.8
Q16017.5
median11459
Q319005.5
95-th percentile41786.65
Maximum45695
Range43206
Interquartile range (IQR)12988

Descriptive statistics

Standard deviation12394.642
Coefficient of variation (CV)0.83236494
Kurtosis1.0637795
Mean14890.875
Median Absolute Deviation (MAD)6428
Skewness1.3350917
Sum357381
Variance1.5362716 × 108
MonotonicityNot monotonic
2023-12-13T00:00:16.852720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10125 1
 
0.1%
45695 1
 
0.1%
22074 1
 
0.1%
18396 1
 
0.1%
27000 1
 
0.1%
12877 1
 
0.1%
7442 1
 
0.1%
15715 1
 
0.1%
12793 1
 
0.1%
14722 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
2489 1
0.1%
3289 1
0.1%
3861 1
0.1%
3920 1
0.1%
4202 1
0.1%
6007 1
0.1%
6021 1
0.1%
6098 1
0.1%
6759 1
0.1%
7442 1
0.1%
ValueCountFrequency (%)
45695 1
0.1%
42559 1
0.1%
37410 1
0.1%
27000 1
0.1%
22074 1
0.1%
20834 1
0.1%
18396 1
0.1%
17378 1
0.1%
15715 1
0.1%
14722 1
0.1%

여
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean13904.375
Minimum1702
Maximum45744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:16.950615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1702
5-th percentile2671.2
Q14496.25
median10568
Q318435.75
95-th percentile37593.5
Maximum45744
Range44042
Interquartile range (IQR)13939.5

Descriptive statistics

Standard deviation12180.406
Coefficient of variation (CV)0.87601247
Kurtosis1.0656673
Mean13904.375
Median Absolute Deviation (MAD)6560
Skewness1.3061969
Sum333705
Variance1.4836229 × 108
MonotonicityNot monotonic
2023-12-13T00:00:17.047492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9490 1
 
0.1%
45744 1
 
0.1%
21829 1
 
0.1%
18957 1
 
0.1%
26398 1
 
0.1%
11646 1
 
0.1%
7129 1
 
0.1%
15294 1
 
0.1%
13358 1
 
0.1%
14491 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
1702 1
0.1%
2631 1
0.1%
2899 1
0.1%
3197 1
0.1%
3831 1
0.1%
4185 1
0.1%
4600 1
0.1%
5154 1
0.1%
5228 1
0.1%
7129 1
0.1%
ValueCountFrequency (%)
45744 1
0.1%
37769 1
0.1%
36599 1
0.1%
26398 1
0.1%
21829 1
0.1%
18957 1
0.1%
18262 1
0.1%
15294 1
0.1%
14920 1
0.1%
14491 1
0.1%

전월말 인구수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean28623.958
Minimum4186
Maximum90128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:17.149900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4186
5-th percentile6034.7
Q110517.75
median21068
Q337788
95-th percentile79085.8
Maximum90128
Range85942
Interquartile range (IQR)27270.25

Descriptive statistics

Standard deviation24403.532
Coefficient of variation (CV)0.85255615
Kurtosis0.96543581
Mean28623.958
Median Absolute Deviation (MAD)12064.5
Skewness1.3030438
Sum686975
Variance5.9553236 × 108
MonotonicityNot monotonic
2023-12-13T00:00:17.246451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
17784 1
 
0.1%
90128 1
 
0.1%
43960 1
 
0.1%
37451 1
 
0.1%
53418 1
 
0.1%
24045 1
 
0.1%
14585 1
 
0.1%
31037 1
 
0.1%
26259 1
 
0.1%
29211 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
4186 1
0.1%
5912 1
0.1%
6730 1
0.1%
7116 1
0.1%
8062 1
0.1%
10271 1
0.1%
10600 1
0.1%
11230 1
0.1%
11971 1
0.1%
14585 1
0.1%
ValueCountFrequency (%)
90128 1
0.1%
79993 1
0.1%
73945 1
0.1%
53418 1
0.1%
43960 1
0.1%
38799 1
0.1%
37451 1
0.1%
32191 1
0.1%
31037 1
0.1%
29211 1
0.1%

전년 12월말 인구수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean26703.75
Minimum4196
Maximum74856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-13T00:00:17.382285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4196
5-th percentile6005.95
Q19846.75
median20757.5
Q336916.75
95-th percentile71579.95
Maximum74856
Range70660
Interquartile range (IQR)27070

Descriptive statistics

Standard deviation22048.663
Coefficient of variation (CV)0.82567667
Kurtosis0.15890587
Mean26703.75
Median Absolute Deviation (MAD)13127.5
Skewness1.0854874
Sum640890
Variance4.8614356 × 108
MonotonicityNot monotonic
2023-12-13T00:00:17.511941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6510 1
 
0.1%
71830 1
 
0.1%
44256 1
 
0.1%
37762 1
 
0.1%
53775 1
 
0.1%
23485 1
 
0.1%
14817 1
 
0.1%
27543 1
 
0.1%
26696 1
 
0.1%
28873 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
4196 1
0.1%
5917 1
0.1%
6510 1
0.1%
6735 1
0.1%
7001 1
0.1%
8259 1
0.1%
10376 1
0.1%
10800 1
0.1%
11259 1
0.1%
12306 1
0.1%
ValueCountFrequency (%)
74856 1
0.1%
71830 1
0.1%
70163 1
0.1%
53775 1
0.1%
44256 1
0.1%
37762 1
0.1%
36635 1
0.1%
28873 1
0.1%
28810 1
0.1%
27543 1
0.1%

인구 전월말
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean171.29167
Minimum-108
Maximum1831
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)0.8%
Memory size8.7 KiB
2023-12-13T00:00:17.978618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-108
5-th percentile-92
Q1-22
median6.5
Q374.75
95-th percentile1186.05
Maximum1831
Range1939
Interquartile range (IQR)96.75

Descriptive statistics

Standard deviation458.89882
Coefficient of variation (CV)2.6790493
Kurtosis8.4236799
Mean171.29167
Median Absolute Deviation (MAD)35
Skewness2.922306
Sum4111
Variance210588.13
MonotonicityNot monotonic
2023-12-13T00:00:18.114692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 2
 
0.2%
297 1
 
0.1%
1311 1
 
0.1%
-57 1
 
0.1%
-98 1
 
0.1%
-20 1
 
0.1%
478 1
 
0.1%
-14 1
 
0.1%
-28 1
 
0.1%
-108 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 954
97.5%
ValueCountFrequency (%)
-108 1
0.1%
-98 1
0.1%
-58 1
0.1%
-57 1
0.1%
-29 1
0.1%
-28 1
0.1%
-20 1
0.1%
-14 1
0.1%
1 1
0.1%
2 1
0.1%
ValueCountFrequency (%)
1831 1
0.1%
1311 1
0.1%
478 1
0.1%
335 1
0.1%
297 1
0.1%
107 1
0.1%
64 1
0.1%
30 1
0.1%
21 1
0.1%
16 1
0.1%

인구 전년동기
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean2091.5
Minimum-545
Maximum19609
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)1.1%
Memory size8.7 KiB
2023-12-13T00:00:18.250571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-545
5-th percentile-406.6
Q1-231
median14
Q32712.25
95-th percentile11960.05
Maximum19609
Range20154
Interquartile range (IQR)2943.25

Descriptive statistics

Standard deviation4793.5225
Coefficient of variation (CV)2.2919065
Kurtosis8.2701802
Mean2091.5
Median Absolute Deviation (MAD)379
Skewness2.8315306
Sum50196
Variance22977858
MonotonicityNot monotonic
2023-12-13T00:00:18.392790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13105 1
 
0.1%
19609 1
 
0.1%
-353 1
 
0.1%
-409 1
 
0.1%
-377 1
 
0.1%
1038 1
 
0.1%
-246 1
 
0.1%
3466 1
 
0.1%
-545 1
 
0.1%
340 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 954
97.5%
ValueCountFrequency (%)
-545 1
0.1%
-409 1
0.1%
-393 1
0.1%
-377 1
0.1%
-353 1
0.1%
-246 1
0.1%
-226 1
0.1%
-179 1
0.1%
-93 1
0.1%
-24 1
0.1%
ValueCountFrequency (%)
19609 1
0.1%
13105 1
0.1%
5472 1
0.1%
3846 1
0.1%
3488 1
0.1%
3466 1
0.1%
2461 1
0.1%
1038 1
0.1%
340 1
0.1%
116 1
0.1%

세대 전월말
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean86.083333
Minimum-31
Maximum708
Zeros2
Zeros (%)0.2%
Negative4
Negative (%)0.4%
Memory size8.7 KiB
2023-12-13T00:00:18.546136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31
5-th percentile-16.65
Q13.75
median21
Q373.25
95-th percentile412.65
Maximum708
Range739
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation168.06053
Coefficient of variation (CV)1.9523004
Kurtosis8.471442
Mean86.083333
Median Absolute Deviation (MAD)24
Skewness2.8243827
Sum2066
Variance28244.341
MonotonicityNot monotonic
2023-12-13T00:00:18.682219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2
 
0.2%
708 1
 
0.1%
450 1
 
0.1%
63 1
 
0.1%
39 1
 
0.1%
180 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
-31 1
 
0.1%
41 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 954
97.5%
ValueCountFrequency (%)
-31 1
0.1%
-18 1
0.1%
-9 1
0.1%
-5 1
0.1%
0 2
0.2%
5 1
0.1%
6 1
0.1%
9 1
0.1%
10 1
0.1%
14 1
0.1%
ValueCountFrequency (%)
708 1
0.1%
450 1
0.1%
201 1
0.1%
180 1
0.1%
159 1
0.1%
104 1
0.1%
63 1
0.1%
55 1
0.1%
43 1
0.1%
41 1
0.1%

세대 전년동기
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing954
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean994.20833
Minimum-56
Maximum7326
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)0.3%
Memory size8.7 KiB
2023-12-13T00:00:18.837361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-56
5-th percentile-51.15
Q152
median142
Q31289.5
95-th percentile4494.8
Maximum7326
Range7382
Interquartile range (IQR)1237.5

Descriptive statistics

Standard deviation1781.8893
Coefficient of variation (CV)1.7922696
Kurtosis6.8503672
Mean994.20833
Median Absolute Deviation (MAD)197
Skewness2.5640395
Sum23861
Variance3175129.6
MonotonicityNot monotonic
2023-12-13T00:00:18.983243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
83 2
 
0.2%
1285 1
 
0.1%
7326 1
 
0.1%
499 1
 
0.1%
86 1
 
0.1%
411 1
 
0.1%
603 1
 
0.1%
22 1
 
0.1%
1303 1
 
0.1%
-56 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 954
97.5%
ValueCountFrequency (%)
-56 1
0.1%
-54 1
0.1%
-35 1
0.1%
22 1
0.1%
33 1
0.1%
46 1
0.1%
54 1
0.1%
66 1
0.1%
83 2
0.2%
86 1
0.1%
ValueCountFrequency (%)
7326 1
0.1%
4715 1
0.1%
3247 1
0.1%
1724 1
0.1%
1716 1
0.1%
1303 1
0.1%
1285 1
0.1%
603 1
0.1%
499 1
0.1%
420 1
0.1%

비고
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing971
Missing (%)99.3%
Memory size7.8 KiB
2023-12-13T00:00:19.164235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length15
Min length14

Characters and Unicode

Total characters105
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row2007.1.29 향남읍승격
2nd row2014.10.20 남양읍승격
3rd row2006.1.2 태안읍분동
4th row2007.1.29 동탄동분동
5th row2008.3.3 동탄동분동
ValueCountFrequency (%)
2007.1.29 2
13.3%
동탄동분동 2
13.3%
향남읍승격 1
 
6.7%
2014.10.20 1
 
6.7%
남양읍승격 1
 
6.7%
2006.1.2 1
 
6.7%
태안읍분동 1
 
6.7%
2008.3.3 1
 
6.7%
2009.6.8 1
 
6.7%
동탄1동분동 1
 
6.7%
Other values (3) 3
20.0%
2023-12-13T00:00:19.459033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 15
14.3%
0 14
13.3%
2 12
11.4%
동 12
11.4%
8
 
7.6%
1 8
 
7.6%
분 5
 
4.8%
탄 4
 
3.8%
9 3
 
2.9%
읍 3
 
2.9%
Other values (14) 21
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47
44.8%
Other Letter 35
33.3%
Other Punctuation 15
 
14.3%
Space Separator 8
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
34.3%
분 5
14.3%
탄 4
 
11.4%
읍 3
 
8.6%
남 2
 
5.7%
승 2
 
5.7%
격 2
 
5.7%
안 1
 
2.9%
태 1
 
2.9%
양 1
 
2.9%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
0 14
29.8%
2 12
25.5%
1 8
17.0%
9 3
 
6.4%
7 2
 
4.3%
3 2
 
4.3%
6 2
 
4.3%
8 2
 
4.3%
5 1
 
2.1%
4 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70
66.7%
Hangul 35
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 15
21.4%
0 14
20.0%
2 12
17.1%
8
11.4%
1 8
11.4%
9 3
 
4.3%
7 2
 
2.9%
3 2
 
2.9%
6 2
 
2.9%
8 2
 
2.9%
Other values (2) 2
 
2.9%
Hangul
ValueCountFrequency (%)
동 12
34.3%
분 5
14.3%
탄 4
 
11.4%
읍 3
 
8.6%
남 2
 
5.7%
승 2
 
5.7%
격 2
 
5.7%
안 1
 
2.9%
태 1
 
2.9%
양 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
66.7%
Hangul 35
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 15
21.4%
0 14
20.0%
2 12
17.1%
8
11.4%
1 8
11.4%
9 3
 
4.3%
7 2
 
2.9%
3 2
 
2.9%
6 2
 
2.9%
8 2
 
2.9%
Other values (2) 2
 
2.9%
Hangul
ValueCountFrequency (%)
동 12
34.3%
분 5
14.3%
탄 4
 
11.4%
읍 3
 
8.6%
남 2
 
5.7%
승 2
 
5.7%
격 2
 
5.7%
안 1
 
2.9%
태 1
 
2.9%
양 1
 
2.9%
Other values (2) 2
 
5.7%

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing978
Missing (%)100.0%
Memory size8.7 KiB

Sample

읍면동세대수인 구 수남여전월말 인구수전년 12월말 인구수인구 전월말인구 전년동기세대 전월말세대 전년동기비고Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24
0봉담읍2675674009374103659973945701636438461041716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1우정읍833118107971583921809118030167743179<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2향남읍340398032842559377697999374856335547220132472007.1.29 향남읍승격<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3남양읍14313322981737814920321912881010734885517242014.10.20 남양읍승격<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4매송면364080334202383180628259-29-226-5-35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5비봉면291659203289263159125917831466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6마도면34096760386128996730673530251046<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7송산면5327112356007522811230112595-2416105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8서신면3781711739203197711670011116-983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9팔탄면58401028360984185102711037612-93683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
읍면동세대수인 구 수남여전월말 인구수전년 12월말 인구수인구 전월말인구 전년동기세대 전월말세대 전년동기비고Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24
968<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
969<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
970<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

읍면동세대수인 구 수남여전월말 인구수전년 12월말 인구수인구 전월말인구 전년동기세대 전월말세대 전년동기비고# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>954