gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	10000
Missing cells	68
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	138.0 B

Variable types

Numeric	10
DateTime	1
Categorical	1
Text	3

Dataset

Description	법정동(읍면동리) 성별 주민등록 인구증감에 대한 데이터입니다.법정동은 시 또는 구의 하위 행정구역으로 법률로 지정한 구역을 말합니다.
Author	행정안전부
URL	https://www.data.go.kr/data/15100123/fileData.do

Alerts

`기준연월` has constant value ""	Constant
`법정동코드` is highly overall correlated with `시도명`	High correlation
`전체 전월인구수` is highly overall correlated with `전월 남자인구수` and 4 other fields	High correlation
`전월 남자인구수` is highly overall correlated with `전체 전월인구수` and 4 other fields	High correlation
`전월 여자인구수` is highly overall correlated with `전체 전월인구수` and 4 other fields	High correlation
`전체 당월인구수` is highly overall correlated with `전체 전월인구수` and 4 other fields	High correlation
`당월 남자인구수` is highly overall correlated with `전체 전월인구수` and 4 other fields	High correlation
`당월 여자인구수` is highly overall correlated with `전체 전월인구수` and 4 other fields	High correlation
`전체 인구증감` is highly overall correlated with `남자 인구증감` and 1 other fields	High correlation
`남자 인구증감` is highly overall correlated with `전체 인구증감`	High correlation
`여자 인구증감` is highly overall correlated with `전체 인구증감`	High correlation
`시도명` is highly overall correlated with `법정동코드`	High correlation
`법정동코드` has unique values	Unique
`전체 인구증감` has 2016 (20.2%) zeros	Zeros
`남자 인구증감` has 2874 (28.7%) zeros	Zeros
`여자 인구증감` has 3070 (30.7%) zeros	Zeros

Reproduction

Analysis started	2024-04-06 08:43:55.394896
Analysis finished	2024-04-06 08:44:37.893984
Duration	42.5 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

법정동코드
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4473405 × 10⁹

Minimum	1.1110101 × 10⁹
Maximum	5.280042 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1.1110101 × 10⁹
5-th percentile	2.7710253 × 10⁹
Q1	4.3720315 × 10⁹
median	4.682033 × 10⁹
Q3	4.825034 × 10⁹
95-th percentile	5.221033 × 10⁹
Maximum	5.280042 × 10⁹
Range	4.1690319 × 10⁹
Interquartile range (IQR)	4.530025 × 10⁸

Descriptive statistics

Standard deviation	7.9218049 × 10⁸
Coefficient of variation (CV)	0.17812454
Kurtosis	6.0039204
Mean	4.4473405 × 10⁹
Median Absolute Deviation (MAD)	2.61996 × 10⁸
Skewness	-2.2961325
Sum	4.4473405 × 10¹³
Variance	6.2754993 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5172033022	1	< 0.1%
4873035025	1	< 0.1%
4684036035	1	< 0.1%
3114010500	1	< 0.1%
4691038023	1	< 0.1%
4128111100	1	< 0.1%
4313037033	1	< 0.1%
4717013400	1	< 0.1%
4683032021	1	< 0.1%
5271025327	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111010100	1	< 0.1%
1111010300	1	< 0.1%
1111010400	1	< 0.1%
1111010500	1	< 0.1%
1111010800	1	< 0.1%
1111011000	1	< 0.1%
1111011500	1	< 0.1%
1111011600	1	< 0.1%
1111011700	1	< 0.1%
1111011800	1	< 0.1%

Value	Count	Frequency (%)
5280042028	1	< 0.1%
5280042027	1	< 0.1%
5280042023	1	< 0.1%
5280042022	1	< 0.1%
5280041025	1	< 0.1%
5280041024	1	< 0.1%
5280041023	1	< 0.1%
5280041022	1	< 0.1%
5280041021	1	< 0.1%
5280040025	1	< 0.1%

기준연월
Date

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Minimum	2024-03-31 00:00:00
Maximum	2024-03-31 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

시도명
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

경상북도	1585
전라남도	1434
경상남도	1148
충청남도	1132
경기도	1025
Other values (12)	3676

Length

Max length	7
Median length	4
Mean length	4.5415
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	강원특별자치도
2nd row	대구광역시
3rd row	경기도
4th row	경상북도
5th row	세종특별자치시

Common Values

Value	Count	Frequency (%)
경상북도	1585	15.8%
전라남도	1434	14.3%
경상남도	1148	11.5%
충청남도	1132	11.3%
경기도	1025	10.2%
전북특별자치도	921	9.2%
충청북도	826	8.3%
강원특별자치도	696	7.0%
서울특별시	241	2.4%
대구광역시	211	2.1%
Other values (7)	781	7.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경상북도	1585	15.8%
전라남도	1434	14.3%
경상남도	1148	11.5%
충청남도	1132	11.3%
경기도	1025	10.2%
전북특별자치도	921	9.2%
충청북도	826	8.3%
강원특별자치도	696	7.0%
서울특별시	241	2.4%
대구광역시	211	2.1%
Other values (7)	781	7.8%

시군구명
Text

Distinct	228
Distinct (%)	2.3%
Missing	68
Missing (%)	0.7%
Memory size	156.2 KiB

Length

Max length	9
Median length	3
Mean length	3.2769835
Min length	2

Characters and Unicode

Total characters	32547
Distinct characters	143
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	홍천군
2nd row	달성군
3rd row	평택시
4th row	안동시
5th row	여주시

Value	Count	Frequency (%)
청주시	160	1.5%
창원시	159	1.5%
중구	147	1.4%
상주시	135	1.3%
북구	130	1.2%
포항시	115	1.1%
안동시	115	1.1%
영천시	111	1.0%
화성시	105	1.0%
부여군	105	1.0%
Other values (228)	9386	88.0%

Most occurring characters

Value	Count	Frequency (%)
군	4798	14.7%
시	4501	13.8%
구	1660	5.1%
주	1404	4.3%
천	1240	3.8%
산	1074	3.3%
성	1023	3.1%
양	746	2.3%
	736	2.3%
안	627	1.9%
Other values (133)	14738	45.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	31811	97.7%
Space Separator	736	2.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
군	4798	15.1%
시	4501	14.1%
구	1660	5.2%
주	1404	4.4%
천	1240	3.9%
산	1074	3.4%
성	1023	3.2%
양	746	2.3%
안	627	2.0%
영	602	1.9%
Other values (132)	14136	44.4%

Space Separator

Value	Count	Frequency (%)
	736	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	31811	97.7%
Common	736	2.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
군	4798	15.1%
시	4501	14.1%
구	1660	5.2%
주	1404	4.4%
천	1240	3.9%
산	1074	3.4%
성	1023	3.2%
양	746	2.3%
안	627	2.0%
영	602	1.9%
Other values (132)	14136	44.4%

Common

Value	Count	Frequency (%)
	736	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	31811	97.7%
ASCII	736	2.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
군	4798	15.1%
시	4501	14.1%
구	1660	5.2%
주	1404	4.4%
천	1240	3.9%
산	1074	3.4%
성	1023	3.2%
양	746	2.3%
안	627	2.0%
영	602	1.9%
Other values (132)	14136	44.4%

ASCII

Value	Count	Frequency (%)
	736	100.0%

읍면동명
Text

Distinct	2827
Distinct (%)	28.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	6
Median length	3
Mean length	3.0431
Min length	2

Characters and Unicode

Total characters	30431
Distinct characters	347
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1410 ?
Unique (%)	14.1%

Sample

1st row	내촌면
2nd row	하빈면
3rd row	청북읍
4th row	녹전면
5th row	연동면

Value	Count	Frequency (%)
남면	53	0.5%
서면	44	0.4%
북면	35	0.4%
금성면	34	0.3%
옥산면	27	0.3%
화산면	26	0.3%
봉산면	26	0.3%
성산면	25	0.2%
용산면	25	0.2%
동면	25	0.2%
Other values (2817)	9680	96.8%

Most occurring characters

Value	Count	Frequency (%)
면	6469	21.3%
동	2332	7.7%
읍	1607	5.3%
산	986	3.2%
성	542	1.8%
남	502	1.6%
천	448	1.5%
가	442	1.5%
양	399	1.3%
서	369	1.2%
Other values (337)	16335	53.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30196	99.2%
Decimal Number	235	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
면	6469	21.4%
동	2332	7.7%
읍	1607	5.3%
산	986	3.3%
성	542	1.8%
남	502	1.7%
천	448	1.5%
가	442	1.5%
양	399	1.3%
서	369	1.2%
Other values (329)	16100	53.3%

Decimal Number

Value	Count	Frequency (%)
2	74	31.5%
1	68	28.9%
3	52	22.1%
4	21	8.9%
5	11	4.7%
6	6	2.6%
7	2	0.9%
8	1	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30196	99.2%
Common	235	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
면	6469	21.4%
동	2332	7.7%
읍	1607	5.3%
산	986	3.3%
성	542	1.8%
남	502	1.7%
천	448	1.5%
가	442	1.5%
양	399	1.3%
서	369	1.2%
Other values (329)	16100	53.3%

Common

Value	Count	Frequency (%)
2	74	31.5%
1	68	28.9%
3	52	22.1%
4	21	8.9%
5	11	4.7%
6	6	2.6%
7	2	0.9%
8	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30196	99.2%
ASCII	235	0.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
면	6469	21.4%
동	2332	7.7%
읍	1607	5.3%
산	986	3.3%
성	542	1.8%
남	502	1.7%
천	448	1.5%
가	442	1.5%
양	399	1.3%
서	369	1.2%
Other values (329)	16100	53.3%

ASCII

Value	Count	Frequency (%)
2	74	31.5%
1	68	28.9%
3	52	22.1%
4	21	8.9%
5	11	4.7%
6	6	2.6%
7	2	0.9%
8	1	0.4%

리명
Text

Distinct	6188
Distinct (%)	61.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	7
Median length	3
Mean length	3.031
Min length	2

Characters and Unicode

Total characters	30310
Distinct characters	388
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4592 ?
Unique (%)	45.9%

Sample

1st row	와야리
2nd row	하산리
3rd row	현곡리
4th row	녹래리
5th row	응암리

Value	Count	Frequency (%)
용산리	24	0.2%
송정리	23	0.2%
대곡리	22	0.2%
금곡리	22	0.2%
신흥리	20	0.2%
용암리	18	0.2%
오산리	18	0.2%
마산리	18	0.2%
신촌리	18	0.2%
덕산리	17	0.2%
Other values (6178)	9800	98.0%

Most occurring characters

Value	Count	Frequency (%)
리	8088	26.7%
동	2305	7.6%
산	830	2.7%
곡	560	1.8%
신	505	1.7%
대	447	1.5%
가	427	1.4%
천	395	1.3%
정	382	1.3%
성	340	1.1%
Other values (378)	16031	52.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30064	99.2%
Decimal Number	240	0.8%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
리	8088	26.9%
동	2305	7.7%
산	830	2.8%
곡	560	1.9%
신	505	1.7%
대	447	1.5%
가	427	1.4%
천	395	1.3%
정	382	1.3%
성	340	1.1%
Other values (368)	15785	52.5%

Decimal Number

Value	Count	Frequency (%)
2	76	31.7%
1	71	29.6%
3	52	21.7%
4	21	8.8%
5	11	4.6%
6	6	2.5%
7	2	0.8%
8	1	0.4%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30058	99.2%
Common	246	0.8%
Han	6	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
리	8088	26.9%
동	2305	7.7%
산	830	2.8%
곡	560	1.9%
신	505	1.7%
대	447	1.5%
가	427	1.4%
천	395	1.3%
정	382	1.3%
성	340	1.1%
Other values (363)	15779	52.5%

Common

Value	Count	Frequency (%)
2	76	30.9%
1	71	28.9%
3	52	21.1%
4	21	8.5%
5	11	4.5%
6	6	2.4%
(	3	1.2%
)	3	1.2%
7	2	0.8%
8	1	0.4%

Han

Value	Count	Frequency (%)
岩	2	33.3%
平	1	16.7%
沙	1	16.7%
岐	1	16.7%
基	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30058	99.2%
ASCII	246	0.8%
CJK	6	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
리	8088	26.9%
동	2305	7.7%
산	830	2.8%
곡	560	1.9%
신	505	1.7%
대	447	1.5%
가	427	1.4%
천	395	1.3%
정	382	1.3%
성	340	1.1%
Other values (363)	15779	52.5%

ASCII

Value	Count	Frequency (%)
2	76	30.9%
1	71	28.9%
3	52	21.1%
4	21	8.5%
5	11	4.5%
6	6	2.4%
(	3	1.2%
)	3	1.2%
7	2	0.8%
8	1	0.4%

CJK

Value	Count	Frequency (%)
岩	2	33.3%
平	1	16.7%
沙	1	16.7%
岐	1	16.7%
基	1	16.7%

전체 전월인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2609
Distinct (%)	26.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2837.3124

Minimum	0
Maximum	242518
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	65
Q1	151
median	261
Q3	595.25
95-th percentile	15487.05
Maximum	242518
Range	242518
Interquartile range (IQR)	444.25

Descriptive statistics

Standard deviation	10888.734
Coefficient of variation (CV)	3.837693
Kurtosis	104.77593
Mean	2837.3124
Median Absolute Deviation (MAD)	142
Skewness	8.3574874
Sum	28373124
Variance	1.1856453 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
179	37	0.4%
99	37	0.4%
176	36	0.4%
110	36	0.4%
203	36	0.4%
119	35	0.4%
137	35	0.4%
141	34	0.3%
192	34	0.3%
177	33	0.3%
Other values (2599)	9647	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	23	0.2%
2	10	0.1%
3	7	0.1%
4	6	0.1%
5	6	0.1%
6	4	< 0.1%
7	5	0.1%
8	7	0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
242518	1	< 0.1%
221606	1	< 0.1%
217120	1	< 0.1%
196932	1	< 0.1%
145414	1	< 0.1%
143429	1	< 0.1%
141789	1	< 0.1%
137785	1	< 0.1%
134468	1	< 0.1%
133783	1	< 0.1%

전월 남자인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2107
Distinct (%)	21.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1414.2098

Minimum	0
Maximum	126385
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	77
median	135
Q3	312.25
95-th percentile	7624.4
Maximum	126385
Range	126385
Interquartile range (IQR)	235.25

Descriptive statistics

Standard deviation	5373.2369
Coefficient of variation (CV)	3.7994624
Kurtosis	106.88138
Mean	1414.2098
Median Absolute Deviation (MAD)	74
Skewness	8.385736
Sum	14142098
Variance	28871675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
87	69	0.7%
64	66	0.7%
65	61	0.6%
86	60	0.6%
45	60	0.6%
96	60	0.6%
69	58	0.6%
75	56	0.6%
85	56	0.6%
66	56	0.6%
Other values (2097)	9398	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	26	0.3%
2	11	0.1%
3	14	0.1%
4	8	0.1%
5	8	0.1%
6	10	0.1%
7	11	0.1%
8	4	< 0.1%
9	10	0.1%

Value	Count	Frequency (%)
126385	1	< 0.1%
107739	1	< 0.1%
104796	1	< 0.1%
94064	1	< 0.1%
71751	1	< 0.1%
70581	1	< 0.1%
67670	1	< 0.1%
67343	1	< 0.1%
66810	1	< 0.1%
66578	1	< 0.1%

전월 여자인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2045
Distinct (%)	20.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1423.1026

Minimum	0
Maximum	116133
Zeros	36
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	73.75
median	126
Q3	284.25
95-th percentile	7767.3
Maximum	116133
Range	116133
Interquartile range (IQR)	210.5

Descriptive statistics

Standard deviation	5521.8121
Coefficient of variation (CV)	3.8801223
Kurtosis	103.89579
Mean	1423.1026
Median Absolute Deviation (MAD)	68
Skewness	8.3601506
Sum	14231026
Variance	30490409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	65	0.7%
69	65	0.7%
95	63	0.6%
68	63	0.6%
63	61	0.6%
71	61	0.6%
53	61	0.6%
65	60	0.6%
82	59	0.6%
74	59	0.6%
Other values (2035)	9383	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36	0.4%
1	19	0.2%
2	11	0.1%
3	13	0.1%
4	13	0.1%
5	12	0.1%
6	9	0.1%
7	9	0.1%
8	9	0.1%
9	8	0.1%

Value	Count	Frequency (%)
116133	1	< 0.1%
113867	1	< 0.1%
112324	1	< 0.1%
102868	1	< 0.1%
74833	1	< 0.1%
74119	1	< 0.1%
71678	1	< 0.1%
70442	1	< 0.1%
67890	1	< 0.1%
66973	1	< 0.1%

전체 당월인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2617
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2836.4355

Minimum	0
Maximum	242523
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	64.95
Q1	151
median	260.5
Q3	594
95-th percentile	15469.6
Maximum	242523
Range	242523
Interquartile range (IQR)	443

Descriptive statistics

Standard deviation	10885.265
Coefficient of variation (CV)	3.8376564
Kurtosis	104.8011
Mean	2836.4355
Median Absolute Deviation (MAD)	142.5
Skewness	8.3586022
Sum	28364355
Variance	1.1848899 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
194	39	0.4%
178	37	0.4%
122	36	0.4%
192	35	0.4%
131	35	0.4%
99	34	0.3%
89	34	0.3%
164	34	0.3%
140	34	0.3%
93	33	0.3%
Other values (2607)	9649	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	22	0.2%
2	10	0.1%
3	7	0.1%
4	6	0.1%
5	5	0.1%
6	5	0.1%
7	5	0.1%
8	3	< 0.1%
9	7	0.1%

Value	Count	Frequency (%)
242523	1	< 0.1%
221673	1	< 0.1%
216788	1	< 0.1%
196713	1	< 0.1%
145089	1	< 0.1%
143602	1	< 0.1%
141741	1	< 0.1%
139200	1	< 0.1%
134210	1	< 0.1%
133659	1	< 0.1%

당월 남자인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2108
Distinct (%)	21.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1413.757

Minimum	0
Maximum	126384
Zeros	5
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	77
median	135
Q3	311
95-th percentile	7610.2
Maximum	126384
Range	126384
Interquartile range (IQR)	234

Descriptive statistics

Standard deviation	5371.3271
Coefficient of variation (CV)	3.7993284
Kurtosis	106.90891
Mean	1413.757
Median Absolute Deviation (MAD)	74
Skewness	8.3867015
Sum	14137570
Variance	28851155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	67	0.7%
96	65	0.7%
73	65	0.7%
63	62	0.6%
86	62	0.6%
85	62	0.6%
59	60	0.6%
71	59	0.6%
52	58	0.6%
99	57	0.6%
Other values (2098)	9383	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
1	26	0.3%
2	11	0.1%
3	14	0.1%
4	8	0.1%
5	6	0.1%
6	12	0.1%
7	8	0.1%
8	5	0.1%
9	9	0.1%

Value	Count	Frequency (%)
126384	1	< 0.1%
107775	1	< 0.1%
104613	1	< 0.1%
93948	1	< 0.1%
71834	1	< 0.1%
70398	1	< 0.1%
68032	1	< 0.1%
67597	1	< 0.1%
66750	1	< 0.1%
66422	1	< 0.1%

당월 여자인구수
Real number (ℝ)

HIGH CORRELATION

Distinct	2048
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1422.6785

Minimum	0
Maximum	116139
Zeros	37
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	30
Q1	73
median	126
Q3	283.25
95-th percentile	7752.45
Maximum	116139
Range	116139
Interquartile range (IQR)	210.25

Descriptive statistics

Standard deviation	5520.3058
Coefficient of variation (CV)	3.8802202
Kurtosis	103.92358
Mean	1422.6785
Median Absolute Deviation (MAD)	68
Skewness	8.361587
Sum	14226785
Variance	30473776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69	65	0.7%
95	62	0.6%
60	62	0.6%
92	61	0.6%
73	60	0.6%
100	60	0.6%
57	60	0.6%
66	59	0.6%
52	59	0.6%
68	59	0.6%
Other values (2038)	9393	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	0.4%
1	20	0.2%
2	9	0.1%
3	12	0.1%
4	13	0.1%
5	14	0.1%
6	8	0.1%
7	9	0.1%
8	7	0.1%
9	10	0.1%

Value	Count	Frequency (%)
116139	1	< 0.1%
113898	1	< 0.1%
112175	1	< 0.1%
102765	1	< 0.1%
74691	1	< 0.1%
74144	1	< 0.1%
71768	1	< 0.1%
71168	1	< 0.1%
67788	1	< 0.1%
66909	1	< 0.1%

전체 인구증감
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	313
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.8769

Minimum	-692
Maximum	2025
Zeros	2016
Zeros (%)	20.2%
Negative	4939
Negative (%)	49.4%
Memory size	166.0 KiB

Quantile statistics

Minimum	-692
5-th percentile	-26
Q1	-3
median	0
Q3	1
95-th percentile	8
Maximum	2025
Range	2717
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	52.320691
Coefficient of variation (CV)	-59.665516
Kurtosis	508.20965
Mean	-0.8769
Median Absolute Deviation (MAD)	2
Skewness	17.234734
Sum	-8769
Variance	2737.4547
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2016	20.2%
-1	1438	14.4%
1	1067	10.7%
-2	873	8.7%
2	606	6.1%
-3	567	5.7%
-4	374	3.7%
3	316	3.2%
4	236	2.4%
-5	232	2.3%
Other values (303)	2275	22.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-692	1	< 0.1%
-609	1	< 0.1%
-389	1	< 0.1%
-383	1	< 0.1%
-332	1	< 0.1%
-325	1	< 0.1%
-304	1	< 0.1%
-282	1	< 0.1%
-264	1	< 0.1%
-258	1	< 0.1%

Value	Count	Frequency (%)
2025	1	< 0.1%
1613	1	< 0.1%
1417	1	< 0.1%
1415	1	< 0.1%
1101	1	< 0.1%
1058	1	< 0.1%
851	1	< 0.1%
813	1	< 0.1%
745	1	< 0.1%
744	2	< 0.1%

남자 인구증감
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	225
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.4528

Minimum	-346
Maximum	999
Zeros	2874
Zeros (%)	28.7%
Negative	4272
Negative (%)	42.7%
Memory size	166.0 KiB

Quantile statistics

Minimum	-346
5-th percentile	-14
Q1	-2
median	0
Q3	1
95-th percentile	5
Maximum	999
Range	1345
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	26.870943
Coefficient of variation (CV)	-59.343955
Kurtosis	445.68001
Mean	-0.4528
Median Absolute Deviation (MAD)	1
Skewness	15.786105
Sum	-4528
Variance	722.04758
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2874	28.7%
-1	1634	16.3%
1	1314	13.1%
-2	832	8.3%
2	590	5.9%
-3	469	4.7%
3	284	2.8%
-4	249	2.5%
-5	151	1.5%
4	136	1.4%
Other values (215)	1467	14.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-346	2	< 0.1%
-213	1	< 0.1%
-183	2	< 0.1%
-181	1	< 0.1%
-156	1	< 0.1%
-150	1	< 0.1%
-144	1	< 0.1%
-125	1	< 0.1%
-124	2	< 0.1%
-120	1	< 0.1%

Value	Count	Frequency (%)
999	1	< 0.1%
811	1	< 0.1%
689	1	< 0.1%
680	1	< 0.1%
552	1	< 0.1%
520	1	< 0.1%
441	1	< 0.1%
421	1	< 0.1%
415	1	< 0.1%
393	1	< 0.1%

여자 인구증감
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	211
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.4241

Minimum	-346
Maximum	1026
Zeros	3070
Zeros (%)	30.7%
Negative	4230
Negative (%)	42.3%
Memory size	166.0 KiB

Quantile statistics

Minimum	-346
5-th percentile	-13
Q1	-2
median	0
Q3	1
95-th percentile	5
Maximum	1026
Range	1372
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	26.0183
Coefficient of variation (CV)	-61.349446
Kurtosis	538.07823
Mean	-0.4241
Median Absolute Deviation (MAD)	1
Skewness	17.772166
Sum	-4241
Variance	676.95193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3070	30.7%
-1	1659	16.6%
1	1244	12.4%
-2	840	8.4%
2	540	5.4%
-3	448	4.5%
3	269	2.7%
-4	227	2.3%
-5	168	1.7%
4	126	1.3%
Other values (201)	1409	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-346	1	< 0.1%
-263	1	< 0.1%
-202	1	< 0.1%
-176	1	< 0.1%
-166	1	< 0.1%
-160	1	< 0.1%
-149	1	< 0.1%
-142	1	< 0.1%
-127	1	< 0.1%
-125	1	< 0.1%

Value	Count	Frequency (%)
1026	1	< 0.1%
802	1	< 0.1%
737	1	< 0.1%
726	1	< 0.1%
549	1	< 0.1%
538	1	< 0.1%
410	1	< 0.1%
392	1	< 0.1%
370	1	< 0.1%
351	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	법정동코드	시도명	전체 전월인구수	전월 남자인구수	전월 여자인구수	전체 당월인구수	당월 남자인구수	당월 여자인구수	전체 인구증감	남자 인구증감	여자 인구증감
법정동코드	1.000	0.990	0.235	0.231	0.247	0.236	0.232	0.248	0.137	0.113	0.125
시도명	0.990	1.000	0.308	0.292	0.312	0.309	0.294	0.313	0.178	0.153	0.172
전체 전월인구수	0.235	0.308	1.000	0.956	0.951	1.000	0.956	0.953	0.410	0.404	0.399
전월 남자인구수	0.231	0.292	0.956	1.000	0.986	0.956	1.000	0.986	0.390	0.384	0.388
전월 여자인구수	0.247	0.312	0.951	0.986	1.000	0.950	0.986	1.000	0.432	0.426	0.424
전체 당월인구수	0.236	0.309	1.000	0.956	0.950	1.000	0.957	0.952	0.407	0.401	0.399
당월 남자인구수	0.232	0.294	0.956	1.000	0.986	0.957	1.000	0.986	0.391	0.380	0.389
당월 여자인구수	0.248	0.313	0.953	0.986	1.000	0.952	0.986	1.000	0.429	0.423	0.422
전체 인구증감	0.137	0.178	0.410	0.390	0.432	0.407	0.391	0.429	1.000	0.979	0.998
남자 인구증감	0.113	0.153	0.404	0.384	0.426	0.401	0.380	0.423	0.979	1.000	0.961
여자 인구증감	0.125	0.172	0.399	0.388	0.424	0.399	0.389	0.422	0.998	0.961	1.000

Heatmap
Table

	법정동코드	전체 전월인구수	전월 남자인구수	전월 여자인구수	전체 당월인구수	당월 남자인구수	당월 여자인구수	전체 인구증감	남자 인구증감	여자 인구증감	시도명
법정동코드	1.000	-0.230	-0.238	-0.220	-0.230	-0.238	-0.220	0.075	0.072	0.070	0.968
전체 전월인구수	-0.230	1.000	0.997	0.996	1.000	0.997	0.995	-0.229	-0.201	-0.200	0.134
전월 남자인구수	-0.238	0.997	1.000	0.985	0.997	1.000	0.985	-0.229	-0.204	-0.197	0.120
전월 여자인구수	-0.220	0.996	0.985	1.000	0.996	0.985	1.000	-0.228	-0.197	-0.203	0.130
전체 당월인구수	-0.230	1.000	0.997	0.996	1.000	0.997	0.996	-0.221	-0.194	-0.194	0.134
당월 남자인구수	-0.238	0.997	1.000	0.985	0.997	1.000	0.985	-0.220	-0.193	-0.194	0.121
당월 여자인구수	-0.220	0.995	0.985	1.000	0.996	0.985	1.000	-0.220	-0.193	-0.192	0.130
전체 인구증감	0.075	-0.229	-0.229	-0.228	-0.221	-0.220	-0.220	1.000	0.806	0.789	0.073
남자 인구증감	0.072	-0.201	-0.204	-0.197	-0.194	-0.193	-0.193	0.806	1.000	0.397	0.064
여자 인구증감	0.070	-0.200	-0.197	-0.203	-0.194	-0.194	-0.192	0.789	0.397	1.000	0.071
시도명	0.968	0.134	0.120	0.130	0.134	0.121	0.130	0.073	0.064	0.071	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	법정동코드	기준연월	시도명	시군구명	읍면동명	리명	전체 전월인구수	전월 남자인구수	전월 여자인구수	전체 당월인구수	당월 남자인구수	당월 여자인구수	전체 인구증감	남자 인구증감	여자 인구증감
16166	5172033022	2024-03-31	강원특별자치도	홍천군	내촌면	와야리	344	170	174	340	168	172	-4	-2	-2
967	2771033021	2024-03-31	대구광역시	달성군	하빈면	하산리	549	301	248	555	304	251	6	3	3
2253	4122025921	2024-03-31	경기도	평택시	청북읍	현곡리	835	515	320	816	505	311	-19	-10	-9
11104	4717043026	2024-03-31	경상북도	안동시	녹전면	녹래리	200	103	97	199	102	97	-1	-1	0
1935	3611032024	2024-03-31	세종특별자치시	<NA>	연동면	응암리	356	210	146	345	202	143	-11	-8	-3
3740	4167037023	2024-03-31	경기도	여주시	강천면	이호리	531	271	260	531	272	259	0	1	-1
10239	4691036031	2024-03-31	전라남도	신안군	흑산면	수리	115	67	48	115	66	49	0	-1	1
9017	4680025329	2024-03-31	전라남도	장흥군	관산읍	송촌리	192	93	99	188	92	96	-4	-1	-3
18201	5275039027	2024-03-31	전북특별자치도	임실군	강진면	문방리	104	55	49	104	55	49	0	0	0
8011	4617032025	2024-03-31	전라남도	나주시	왕곡면	신포리	221	123	98	214	120	94	-7	-3	-4

	법정동코드	기준연월	시도명	시군구명	읍면동명	리명	전체 전월인구수	전월 남자인구수	전월 여자인구수	전체 당월인구수	당월 남자인구수	당월 여자인구수	전체 인구증감	남자 인구증감	여자 인구증감
11227	4719034035	2024-03-31	경상북도	구미시	해평면	일선리	121	57	64	120	56	64	-1	-1	0
1821	3171025928	2024-03-31	울산광역시	울주군	범서읍	중리	250	125	125	247	124	123	-3	-1	-2
6620	4471031022	2024-03-31	충청남도	금산군	금성면	도곡리	277	148	129	288	157	131	11	9	2
14289	4833034021	2024-03-31	경상남도	양산시	하북면	순지리	3376	1688	1688	3383	1696	1687	7	8	-1
4711	4372037024	2024-03-31	충청북도	보은군	회남면	용호리	25	17	8	25	17	8	0	0	0
17627	5219047022	2024-03-31	전북특별자치도	남원시	인월면	인월리	666	320	346	668	318	350	2	-2	4
16449	5176033022	2024-03-31	강원특별자치도	평창군	대화면	신리	808	414	394	813	419	394	5	5	0
18368	5279025038	2024-03-31	전북특별자치도	고창군	고창읍	성두리	221	121	100	221	121	100	0	0	0
11818	4728025321	2024-03-31	경상북도	문경시	가은읍	왕능리	1136	529	607	1134	528	606	-2	-1	-1
3575	4165035026	2024-03-31	경기도	포천시	창수면	운산리	118	63	55	118	63	55	0	0	0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

CJK

Interactions

Correlations

Missing values

Sample