gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	21
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.8 KiB
Average record size in memory	184.3 B

Variable types

Numeric	18
Categorical	1
Text	1

Dataset

Description	에너지다소비사업자의 에너지사용량신고에 대한 데이터로 지역(광역시)별, 연도별, 부문별 다소비사업자의 에너지사용량에 대한 데이터 개방
Author	한국에너지공단
URL	https://www.data.go.kr/data/15086728/fileData.do

Alerts

`강원` is highly overall correlated with `경기` and 11 other fields	High correlation
`경기` is highly overall correlated with `강원` and 14 other fields	High correlation
`경남` is highly overall correlated with `강원` and 15 other fields	High correlation
`경북` is highly overall correlated with `경남` and 14 other fields	High correlation
`광주` is highly overall correlated with `강원` and 16 other fields	High correlation
`대구` is highly overall correlated with `강원` and 16 other fields	High correlation
`대전` is highly overall correlated with `경남` and 11 other fields	High correlation
`부산` is highly overall correlated with `경기` and 14 other fields	High correlation
`서울` is highly overall correlated with `강원` and 15 other fields	High correlation
`울산` is highly overall correlated with `경기` and 13 other fields	High correlation
`인천` is highly overall correlated with `강원` and 15 other fields	High correlation
`전남` is highly overall correlated with `경기` and 13 other fields	High correlation
`전북` is highly overall correlated with `강원` and 16 other fields	High correlation
`제주` is highly overall correlated with `강원` and 9 other fields	High correlation
`충남` is highly overall correlated with `강원` and 13 other fields	High correlation
`충북` is highly overall correlated with `강원` and 15 other fields	High correlation
`총합계` is highly overall correlated with `강원` and 15 other fields	High correlation
`부문` is highly overall correlated with `강원` and 15 other fields	High correlation
`강원` has unique values	Unique
`경기` has unique values	Unique
`경남` has unique values	Unique
`경북` has unique values	Unique
`광주` has unique values	Unique
`대구` has unique values	Unique
`대전` has unique values	Unique
`부산` has unique values	Unique
`서울` has unique values	Unique
`울산` has unique values	Unique
`인천` has unique values	Unique
`전남` has unique values	Unique
`전북` has unique values	Unique
`제주` has unique values	Unique
`충남` has unique values	Unique
`충북` has unique values	Unique
`총합계` has unique values	Unique

Reproduction

Analysis started	2023-12-12 19:08:48.868777
Analysis finished	2023-12-12 19:09:26.688868
Duration	37.82 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연도
Real number (ℝ)

Distinct	7
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2019

Minimum	2016
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	2016
5-th percentile	2016
Q1	2017
median	2019
Q3	2021
95-th percentile	2022
Maximum	2022
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0493902
Coefficient of variation (CV)	0.0010150521
Kurtosis	-1.2573099
Mean	2019
Median Absolute Deviation (MAD)	2
Skewness	0
Sum	42399
Variance	4.2
Monotonicity	Increasing

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2016	3	14.3%
2017	3	14.3%
2018	3	14.3%
2019	3	14.3%
2020	3	14.3%
2021	3	14.3%
2022	3	14.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2016	3	14.3%
2017	3	14.3%
2018	3	14.3%
2019	3	14.3%
2020	3	14.3%
2021	3	14.3%
2022	3	14.3%

Value	Count	Frequency (%)
2022	3	14.3%
2021	3	14.3%
2020	3	14.3%
2019	3	14.3%
2018	3	14.3%
2017	3	14.3%
2016	3	14.3%

부문
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

산업	7
건물	7
수송	7

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	산업
2nd row	건물
3rd row	수송
4th row	산업
5th row	건물

Common Values

Value	Count	Frequency (%)
산업	7	33.3%
건물	7	33.3%
수송	7	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
산업	7	33.3%
건물	7	33.3%
수송	7	33.3%

강원
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1518836.3

Minimum	26574
Maximum	5030380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	26574
5-th percentile	32544
Q1	57721
median	115054
Q3	4130954
95-th percentile	4951493
Maximum	5030380
Range	5003806
Interquartile range (IQR)	4073233

Descriptive statistics

Standard deviation	2118444.4
Coefficient of variation (CV)	1.3947812
Kurtosis	-1.282414
Mean	1518836.3
Median Absolute Deviation (MAD)	66453
Skewness	0.86203522
Sum	31895563
Variance	4.4878065 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
2935737	1	4.8%
114209	1	4.8%
38128	1	4.8%
126054	1	4.8%
4951493	1	4.8%
26574	1	4.8%
111354	1	4.8%
4390806	1	4.8%
32544	1	4.8%
110581	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26574	1	4.8%
32544	1	4.8%
38128	1	4.8%
48601	1	4.8%
52830	1	4.8%
57721	1	4.8%
60052	1	4.8%
110581	1	4.8%
111354	1	4.8%
114209	1	4.8%

Value	Count	Frequency (%)
5030380	1	4.8%
4951493	1	4.8%
4780198	1	4.8%
4522113	1	4.8%
4390806	1	4.8%
4130954	1	4.8%
2935737	1	4.8%
130300	1	4.8%
129880	1	4.8%
126054	1	4.8%

경기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5875197.5

Minimum	450932
Maximum	19118946
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	450932
5-th percentile	467647
Q1	578934
median	656203
Q3	14639928
95-th percentile	18215915
Maximum	19118946
Range	18668014
Interquartile range (IQR)	14060994

Descriptive statistics

Standard deviation	7743458.1
Coefficient of variation (CV)	1.3179911
Kurtosis	-1.3323052
Mean	5875197.5
Median Absolute Deviation (MAD)	141731
Skewness	0.83923147
Sum	1.2337915 × 10⁸
Variance	5.9961144 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
12611928	1	4.8%
543964	1	4.8%
450932	1	4.8%
797934	1	4.8%
19118946	1	4.8%
467647	1	4.8%
712522	1	4.8%
18215915	1	4.8%
475177	1	4.8%
668890	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
450932	1	4.8%
467647	1	4.8%
475177	1	4.8%
543964	1	4.8%
570093	1	4.8%
578934	1	4.8%
592194	1	4.8%
602492	1	4.8%
606547	1	4.8%
626877	1	4.8%

Value	Count	Frequency (%)
19118946	1	4.8%
18215915	1	4.8%
17095708	1	4.8%
16724962	1	4.8%
16621354	1	4.8%
14639928	1	4.8%
12611928	1	4.8%
797934	1	4.8%
712522	1	4.8%
668890	1	4.8%

경남
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	840492.81

Minimum	63891
Maximum	4456729
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	63891
5-th percentile	65054
Q1	83087
median	96090
Q3	1617237
95-th percentile	3575757
Maximum	4456729
Range	4392838
Interquartile range (IQR)	1534150

Descriptive statistics

Standard deviation	1267830.7
Coefficient of variation (CV)	1.5084373
Kurtosis	2.6151964
Mean	840492.81
Median Absolute Deviation (MAD)	16093
Skewness	1.7579854
Sum	17650349
Variance	1.6073947 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1783935	1	4.8%
63891	1	4.8%
83713	1	4.8%
86191	1	4.8%
4456729	1	4.8%
76859	1	4.8%
88263	1	4.8%
3575757	1	4.8%
83915	1	4.8%
82444	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
63891	1	4.8%
65054	1	4.8%
76859	1	4.8%
79997	1	4.8%
82444	1	4.8%
83087	1	4.8%
83713	1	4.8%
83915	1	4.8%
86191	1	4.8%
88263	1	4.8%

Value	Count	Frequency (%)
4456729	1	4.8%
3575757	1	4.8%
1792766	1	4.8%
1783935	1	4.8%
1654082	1	4.8%
1617237	1	4.8%
1575680	1	4.8%
103645	1	4.8%
100828	1	4.8%
100186	1	4.8%

경북
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3875956.4

Minimum	54722
Maximum	11930608
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	54722
5-th percentile	56378
Q1	62656
median	81252
Q3	11476949
95-th percentile	11857803
Maximum	11930608
Range	11875886
Interquartile range (IQR)	11414293

Descriptive statistics

Standard deviation	5527567
Coefficient of variation (CV)	1.4261169
Kurtosis	-1.5381072
Mean	3875956.4
Median Absolute Deviation (MAD)	19736
Skewness	0.7755779
Sum	81395085
Variance	3.0553997 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
11857803	1	4.8%
61981	1	4.8%
67147	1	4.8%
58929	1	4.8%
10091366	1	4.8%
71223	1	4.8%
56378	1	4.8%
11576772	1	4.8%
71605	1	4.8%
54722	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54722	1	4.8%
56378	1	4.8%
58929	1	4.8%
61516	1	4.8%
61981	1	4.8%
62656	1	4.8%
63804	1	4.8%
67147	1	4.8%
71223	1	4.8%
71605	1	4.8%

Value	Count	Frequency (%)
11930608	1	4.8%
11857803	1	4.8%
11853913	1	4.8%
11638519	1	4.8%
11576772	1	4.8%
11476949	1	4.8%
10091366	1	4.8%
89057	1	4.8%
87535	1	4.8%
81350	1	4.8%

광주
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	137882.81

Minimum	26235
Maximum	344712
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	26235
5-th percentile	27820
Q1	43245
median	46038
Q3	320334
95-th percentile	340023
Maximum	344712
Range	318477
Interquartile range (IQR)	277089

Descriptive statistics

Standard deviation	141449.29
Coefficient of variation (CV)	1.025866
Kurtosis	-1.5615999
Mean	137882.81
Median Absolute Deviation (MAD)	13796
Skewness	0.76100419
Sum	2895539
Variance	2.0007901 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
340023	1	4.8%
45986	1	4.8%
26235	1	4.8%
47187	1	4.8%
335596	1	4.8%
30109	1	4.8%
43654	1	4.8%
336299	1	4.8%
27820	1	4.8%
40917	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26235	1	4.8%
27820	1	4.8%
30109	1	4.8%
32242	1	4.8%
40917	1	4.8%
43245	1	4.8%
43408	1	4.8%
43654	1	4.8%
44746	1	4.8%
45986	1	4.8%

Value	Count	Frequency (%)
344712	1	4.8%
340023	1	4.8%
336299	1	4.8%
335596	1	4.8%
334776	1	4.8%
320334	1	4.8%
317597	1	4.8%
48036	1	4.8%
47187	1	4.8%
46579	1	4.8%

대구
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	408695.05

Minimum	70141
Maximum	1142533
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	70141
5-th percentile	72163
Q1	78898
median	107990
Q3	1001669
95-th percentile	1065734
Maximum	1142533
Range	1072392
Interquartile range (IQR)	922771

Descriptive statistics

Standard deviation	464142.72
Coefficient of variation (CV)	1.13567
Kurtosis	-1.5236459
Mean	408695.05
Median Absolute Deviation (MAD)	30203
Skewness	0.77552219
Sum	8582596
Variance	2.1542846 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1142533	1	4.8%
72163	1	4.8%
78898	1	4.8%
84660	1	4.8%
1001669	1	4.8%
77787	1	4.8%
77871	1	4.8%
1056328	1	4.8%
70141	1	4.8%
76886	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70141	1	4.8%
72163	1	4.8%
76886	1	4.8%
77787	1	4.8%
77871	1	4.8%
78898	1	4.8%
80638	1	4.8%
80761	1	4.8%
82659	1	4.8%
84660	1	4.8%

Value	Count	Frequency (%)
1142533	1	4.8%
1065734	1	4.8%
1057100	1	4.8%
1056328	1	4.8%
1056182	1	4.8%
1001669	1	4.8%
952094	1	4.8%
123151	1	4.8%
122609	1	4.8%
114742	1	4.8%

대전
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	317505.67

Minimum	186566
Maximum	409748
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	186566
5-th percentile	187582
Q1	200231
median	369509
Q3	396631
95-th percentile	408571
Maximum	409748
Range	223182
Interquartile range (IQR)	196400

Descriptive statistics

Standard deviation	92324.184
Coefficient of variation (CV)	0.29077964
Kurtosis	-1.5982194
Mean	317505.67
Median Absolute Deviation (MAD)	35998
Skewness	-0.57358884
Sum	6667619
Variance	8.523755 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
401348	1	4.8%
186566	1	4.8%
320589	1	4.8%
213930	1	4.8%
380548	1	4.8%
333511	1	4.8%
200231	1	4.8%
396631	1	4.8%
335642	1	4.8%
190112	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
186566	1	4.8%
187582	1	4.8%
189769	1	4.8%
190112	1	4.8%
193755	1	4.8%
200231	1	4.8%
213930	1	4.8%
320589	1	4.8%
333511	1	4.8%
335642	1	4.8%

Value	Count	Frequency (%)
409748	1	4.8%
408571	1	4.8%
405152	1	4.8%
401348	1	4.8%
398814	1	4.8%
396631	1	4.8%
385688	1	4.8%
380548	1	4.8%
380113	1	4.8%
379810	1	4.8%

부산
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	444772.62

Minimum	171133
Maximum	830322
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	171133
5-th percentile	181131
Q1	188650
median	381950
Q3	736492
95-th percentile	811740
Maximum	830322
Range	659189
Interquartile range (IQR)	547842

Descriptive statistics

Standard deviation	250742.79
Coefficient of variation (CV)	0.563755
Kurtosis	-1.5354371
Mean	444772.62
Median Absolute Deviation (MAD)	196345
Skewness	0.41682242
Sum	9340225
Variance	6.2871946 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
756390	1	4.8%
188650	1	4.8%
344440	1	4.8%
192351	1	4.8%
733396	1	4.8%
340142	1	4.8%
185605	1	4.8%
738556	1	4.8%
333798	1	4.8%
188083	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
171133	1	4.8%
181131	1	4.8%
184566	1	4.8%
185605	1	4.8%
188083	1	4.8%
188650	1	4.8%
192351	1	4.8%
333798	1	4.8%
340142	1	4.8%
344440	1	4.8%

Value	Count	Frequency (%)
830322	1	4.8%
811740	1	4.8%
772670	1	4.8%
756390	1	4.8%
738556	1	4.8%
736492	1	4.8%
733396	1	4.8%
446846	1	4.8%
430489	1	4.8%
391475	1	4.8%

서울
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	844890

Minimum	330444
Maximum	1171170
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	330444
5-th percentile	335492
Q1	377290
median	1047532
Q3	1098288
95-th percentile	1164137
Maximum	1171170
Range	840726
Interquartile range (IQR)	720998

Descriptive statistics

Standard deviation	355943.25
Coefficient of variation (CV)	0.42128945
Kurtosis	-1.5617466
Mean	844890
Median Absolute Deviation (MAD)	102090
Skewness	-0.70551919
Sum	17742690
Variance	1.2669559 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
336178	1	4.8%
1098288	1	4.8%
1040780	1	4.8%
1149622	1	4.8%
416623	1	4.8%
1021857	1	4.8%
1083970	1	4.8%
377290	1	4.8%
941563	1	4.8%
1047532	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
330444	1	4.8%
335492	1	4.8%
336178	1	4.8%
348806	1	4.8%
368815	1	4.8%
377290	1	4.8%
416623	1	4.8%
941563	1	4.8%
1021857	1	4.8%
1040780	1	4.8%

Value	Count	Frequency (%)
1171170	1	4.8%
1164137	1	4.8%
1149622	1	4.8%
1139498	1	4.8%
1116202	1	4.8%
1098288	1	4.8%
1095943	1	4.8%
1089089	1	4.8%
1083970	1	4.8%
1069391	1	4.8%

세종
Text

Distinct	15
Distinct (%)	71.4%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

Length

Max length	6
Median length	5
Mean length	4.952381
Min length	4

Characters and Unicode

Total characters	104
Distinct characters	14
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	14 ?
Unique (%)	66.7%

Sample

1st row	151144
2nd row	10757
3rd row	해당없음
4th row	149940
5th row	10334

Value	Count	Frequency (%)
해당없음	7	33.3%
151144	1	4.8%
10757	1	4.8%
149940	1	4.8%
10334	1	4.8%
154448	1	4.8%
9442	1	4.8%
166535	1	4.8%
10972	1	4.8%
167949	1	4.8%
Other values (5)	5	23.8%

Most occurring characters

Value	Count	Frequency (%)
1	16	15.4%
4	15	14.4%
5	9	8.7%
9	8	7.7%
해	7	6.7%
당	7	6.7%
없	7	6.7%
음	7	6.7%
7	6	5.8%
2	6	5.8%
Other values (4)	16	15.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76	73.1%
Other Letter	28	26.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16	21.1%
4	15	19.7%
5	9	11.8%
9	8	10.5%
7	6	7.9%
2	6	7.9%
0	5	6.6%
3	4	5.3%
8	4	5.3%
6	3	3.9%

Other Letter

Value	Count	Frequency (%)
해	7	25.0%
당	7	25.0%
없	7	25.0%
음	7	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	76	73.1%
Hangul	28	26.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16	21.1%
4	15	19.7%
5	9	11.8%
9	8	10.5%
7	6	7.9%
2	6	7.9%
0	5	6.6%
3	4	5.3%
8	4	5.3%
6	3	3.9%

Hangul

Value	Count	Frequency (%)
해	7	25.0%
당	7	25.0%
없	7	25.0%
음	7	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76	73.1%
Hangul	28	26.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16	21.1%
4	15	19.7%
5	9	11.8%
9	8	10.5%
7	6	7.9%
2	6	7.9%
0	5	6.6%
3	4	5.3%
8	4	5.3%
6	3	3.9%

Hangul

Value	Count	Frequency (%)
해	7	25.0%
당	7	25.0%
없	7	25.0%
음	7	25.0%

울산
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3775550.1

Minimum	20391
Maximum	12220058
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	20391
5-th percentile	22598
Q1	24216
median	43543
Q3	10505312
95-th percentile	11693667
Maximum	12220058
Range	12199667
Interquartile range (IQR)	10481096

Descriptive statistics

Standard deviation	5437095.1
Coefficient of variation (CV)	1.4400802
Kurtosis	-1.5215237
Mean	3775550.1
Median Absolute Deviation (MAD)	20029
Skewness	0.77994434
Sum	79286552
Variance	2.9562003 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
10176829	1	4.8%
20391	1	4.8%
47232	1	4.8%
22598	1	4.8%
11163931	1	4.8%
43821	1	4.8%
22700	1	4.8%
11609861	1	4.8%
43543	1	4.8%
25187	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20391	1	4.8%
22598	1	4.8%
22700	1	4.8%
23514	1	4.8%
23790	1	4.8%
24216	1	4.8%
25187	1	4.8%
37657	1	4.8%
40781	1	4.8%
41239	1	4.8%

Value	Count	Frequency (%)
12220058	1	4.8%
11693667	1	4.8%
11609861	1	4.8%
11452081	1	4.8%
11163931	1	4.8%
10505312	1	4.8%
10176829	1	4.8%
48144	1	4.8%
47232	1	4.8%
43821	1	4.8%

인천
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1554381.2

Minimum	119384
Maximum	4708752
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	119384
5-th percentile	121324
Q1	136033
median	153777
Q3	4174058
95-th percentile	4653756
Maximum	4708752
Range	4589368
Interquartile range (IQR)	4038025

Descriptive statistics

Standard deviation	2052614.2
Coefficient of variation (CV)	1.3205346
Kurtosis	-1.5171614
Mean	1554381.2
Median Absolute Deviation (MAD)	20787
Skewness	0.78096619
Sum	32642006
Variance	4.213225 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
4191346	1	4.8%
133648	1	4.8%
126810	1	4.8%
166295	1	4.8%
4174058	1	4.8%
119384	1	4.8%
153777	1	4.8%
4653756	1	4.8%
121324	1	4.8%
146973	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
119384	1	4.8%
121324	1	4.8%
126810	1	4.8%
132990	1	4.8%
133648	1	4.8%
136033	1	4.8%
136914	1	4.8%
142337	1	4.8%
144630	1	4.8%
146973	1	4.8%

Value	Count	Frequency (%)
4708752	1	4.8%
4653756	1	4.8%
4582536	1	4.8%
4355896	1	4.8%
4191346	1	4.8%
4174058	1	4.8%
3990587	1	4.8%
166295	1	4.8%
165986	1	4.8%
157974	1	4.8%

전남
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7865328.4

Minimum	13782
Maximum	24263435
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	13782
5-th percentile	17531
Q1	23250
median	81320
Q3	22481880
95-th percentile	24214505
Maximum	24263435
Range	24249653
Interquartile range (IQR)	22458630

Descriptive statistics

Standard deviation	11332988
Coefficient of variation (CV)	1.4408792
Kurtosis	-1.5611892
Mean	7865328.4
Median Absolute Deviation (MAD)	59404
Skewness	0.76799218
Sum	1.651719 × 10⁸
Variance	1.2843661 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
23012547	1	4.8%
13782	1	4.8%
97027	1	4.8%
22879	1	4.8%
22461725	1	4.8%
81320	1	4.8%
23250	1	4.8%
24145695	1	4.8%
74994	1	4.8%
24146	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13782	1	4.8%
17531	1	4.8%
19448	1	4.8%
21916	1	4.8%
22879	1	4.8%
23250	1	4.8%
24146	1	4.8%
74994	1	4.8%
75937	1	4.8%
76514	1	4.8%

Value	Count	Frequency (%)
24263435	1	4.8%
24214505	1	4.8%
24145695	1	4.8%
23878885	1	4.8%
23012547	1	4.8%
22481880	1	4.8%
22461725	1	4.8%
97027	1	4.8%
82782	1	4.8%
81698	1	4.8%

전북
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1075098.3

Minimum	38136
Maximum	3440926
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	38136
5-th percentile	38365
Q1	40000
median	50466
Q3	2871501
95-th percentile	3339371
Maximum	3440926
Range	3402790
Interquartile range (IQR)	2831501

Descriptive statistics

Standard deviation	1489489.4
Coefficient of variation (CV)	1.3854449
Kurtosis	-1.5031235
Mean	1075098.3
Median Absolute Deviation (MAD)	12101
Skewness	0.78459419
Sum	22577064
Variance	2.2185788 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
3440926	1	4.8%
38881	1	4.8%
40000	1	4.8%
41228	1	4.8%
2855605	1	4.8%
39378	1	4.8%
38136	1	4.8%
3098024	1	4.8%
46821	1	4.8%
38365	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
38136	1	4.8%
38365	1	4.8%
38881	1	4.8%
39378	1	4.8%
39893	1	4.8%
40000	1	4.8%
40074	1	4.8%
40739	1	4.8%
41228	1	4.8%
46821	1	4.8%

Value	Count	Frequency (%)
3440926	1	4.8%
3339371	1	4.8%
3183620	1	4.8%
3098024	1	4.8%
3078530	1	4.8%
2871501	1	4.8%
2855605	1	4.8%
103207	1	4.8%
99607	1	4.8%
52692	1	4.8%

제주
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31709.81

Minimum	10802
Maximum	128349
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	10802
5-th percentile	12765
Q1	18105
median	24347
Q3	32581
95-th percentile	93749
Maximum	128349
Range	117547
Interquartile range (IQR)	14476

Descriptive statistics

Standard deviation	28002.978
Coefficient of variation (CV)	0.88310141
Kurtosis	7.770798
Mean	31709.81
Median Absolute Deviation (MAD)	6840
Skewness	2.7760497
Sum	665906
Variance	7.8416675 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
10802	1	4.8%
19259	1	4.8%
34420	1	4.8%
37618	1	4.8%
18105	1	4.8%
27921	1	4.8%
36003	1	4.8%
17507	1	4.8%
32581	1	4.8%
24347	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10802	1	4.8%
12765	1	4.8%
12782	1	4.8%
16215	1	4.8%
17507	1	4.8%
18105	1	4.8%
19259	1	4.8%
19726	1	4.8%
20623	1	4.8%
22141	1	4.8%

Value	Count	Frequency (%)
128349	1	4.8%
93749	1	4.8%
37618	1	4.8%
36003	1	4.8%
34420	1	4.8%
32581	1	4.8%
28692	1	4.8%
27921	1	4.8%
26369	1	4.8%
25932	1	4.8%

충남
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5797664.6

Minimum	33138
Maximum	18389085
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	33138
5-th percentile	33554
Q1	43198
median	51532
Q3	16637546
95-th percentile	17987200
Maximum	18389085
Range	18355947
Interquartile range (IQR)	16594348

Descriptive statistics

Standard deviation	8343896.4
Coefficient of variation (CV)	1.4391823
Kurtosis	-1.5533971
Mean	5797664.6
Median Absolute Deviation (MAD)	10620
Skewness	0.77019688
Sum	1.2175096 × 10⁸
Variance	6.9620607 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
16555762	1	4.8%
56663	1	4.8%
33554	1	4.8%
62116	1	4.8%
17086308	1	4.8%
33138	1	4.8%
46833	1	4.8%
16637546	1	4.8%
35013	1	4.8%
43198	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33138	1	4.8%
33554	1	4.8%
35013	1	4.8%
40912	1	4.8%
43167	1	4.8%
43198	1	4.8%
45433	1	4.8%
46306	1	4.8%
46833	1	4.8%
50554	1	4.8%

Value	Count	Frequency (%)
18389085	1	4.8%
17987200	1	4.8%
17615444	1	4.8%
17086308	1	4.8%
16834721	1	4.8%
16637546	1	4.8%
16555762	1	4.8%
62116	1	4.8%
56663	1	4.8%
56472	1	4.8%

충북
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1059237.1

Minimum	48919
Maximum	3255048
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	48919
5-th percentile	49194
Q1	52458
median	55283
Q3	2920690
95-th percentile	3231346
Maximum	3255048
Range	3206129
Interquartile range (IQR)	2868232

Descriptive statistics

Standard deviation	1459034.2
Coefficient of variation (CV)	1.3774387
Kurtosis	-1.5423022
Mean	1059237.1
Median Absolute Deviation (MAD)	5963
Skewness	0.77349238
Sum	22243980
Variance	2.1287808 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
2950959	1	4.8%
49194	1	4.8%
49320	1	4.8%
54817	1	4.8%
3255048	1	4.8%
49983	1	4.8%
52511	1	4.8%
3231346	1	4.8%
51411	1	4.8%
48919	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48919	1	4.8%
49194	1	4.8%
49320	1	4.8%
49983	1	4.8%
51411	1	4.8%
52458	1	4.8%
52511	1	4.8%
54643	1	4.8%
54817	1	4.8%
55001	1	4.8%

Value	Count	Frequency (%)
3255048	1	4.8%
3231346	1	4.8%
3175934	1	4.8%
3042463	1	4.8%
2950959	1	4.8%
2920690	1	4.8%
2911602	1	4.8%
69648	1	4.8%
57400	1	4.8%
55350	1	4.8%

총합계
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35482155

Minimum	2718273
Maximum	1.0423338 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	2718273
5-th percentile	2764699
Q1	2879226
median	3337950
Q3	97572773
95-th percentile	1.0401448 × 10⁸
Maximum	1.0423338 × 10⁸
Range	1.015151 × 10⁸
Interquartile range (IQR)	94693547

Descriptive statistics

Standard deviation	47078315
Coefficient of variation (CV)	1.3268167
Kurtosis	-1.5517506
Mean	35482155
Median Absolute Deviation (MAD)	514616
Skewness	0.77086498
Sum	7.4512525 × 10⁸
Variance	2.2163678 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
92656192	1	4.8%
2718273	1	4.8%
2879226	1	4.8%
3179263	1	4.8%
102690999	1	4.8%
2840652	1	4.8%
2947581	1	4.8%
104233378	1	4.8%
2777892	1	4.8%
2823334	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2718273	1	4.8%
2764699	1	4.8%
2777892	1	4.8%
2823334	1	4.8%
2840652	1	4.8%
2879226	1	4.8%
2896771	1	4.8%
2920169	1	4.8%
2947581	1	4.8%
3179263	1	4.8%

Value	Count	Frequency (%)
104233378	1	4.8%
104014475	1	4.8%
102717626	1	4.8%
102690999	1	4.8%
98743839	1	4.8%
97572773	1	4.8%
92656192	1	4.8%
3564704	1	4.8%
3491754	1	4.8%
3353698	1	4.8%

Phik (φk)
Auto

Heatmap
Table

	연도	부문	강원	경기	경남	경북	광주	대구	대전	부산	서울	세종	울산	인천	전남	전북	제주	충남	충북	총합계
연도	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.342	0.000	0.000	0.000
부문	0.000	1.000	0.623	0.647	0.623	0.926	1.000	0.926	0.742	1.000	0.692	1.000	0.926	0.926	1.000	0.926	0.497	1.000	0.926	0.926
강원	0.000	0.623	1.000	0.844	0.910	0.698	1.000	0.644	0.000	0.612	0.640	1.000	0.790	0.700	1.000	0.698	0.304	1.000	0.644	1.000
경기	0.000	0.647	0.844	1.000	0.800	0.781	1.000	0.709	0.000	0.574	0.797	1.000	1.000	0.861	1.000	0.835	0.000	1.000	0.814	1.000
경남	0.000	0.623	0.910	0.800	1.000	1.000	1.000	0.764	0.141	0.651	0.800	1.000	0.680	0.722	1.000	0.722	0.044	1.000	0.677	0.647
경북	0.000	0.926	0.698	0.781	1.000	1.000	1.000	0.979	0.372	0.908	1.000	1.000	0.937	0.959	1.000	0.946	0.304	1.000	0.937	0.930
광주	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.430	1.000	1.000	1.000	1.000	1.000	0.982	1.000	0.510	0.982	1.000	1.000
대구	0.000	0.926	0.644	0.709	0.764	0.979	1.000	1.000	0.526	0.948	0.752	1.000	0.951	0.926	1.000	0.968	0.304	1.000	0.951	0.937
대전	0.000	0.742	0.000	0.000	0.141	0.372	0.430	0.526	1.000	0.738	0.705	0.707	0.449	0.161	0.454	0.537	0.652	0.430	0.420	0.343
부산	0.000	1.000	0.612	0.574	0.651	0.908	1.000	0.948	0.738	1.000	0.657	0.000	0.869	0.877	1.000	0.921	0.677	1.000	0.980	0.908
서울	0.000	0.692	0.640	0.797	0.800	1.000	1.000	0.752	0.705	0.657	1.000	0.000	0.680	0.715	1.000	0.715	0.307	1.000	0.680	0.657
세종	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.707	0.000	0.000	1.000	1.000	1.000	1.000	1.000	0.000	1.000	1.000	1.000
울산	0.000	0.926	0.790	1.000	0.680	0.937	1.000	0.951	0.449	0.869	0.680	1.000	1.000	0.987	1.000	0.987	0.437	1.000	0.940	0.979
인천	0.000	0.926	0.700	0.861	0.722	0.959	1.000	0.926	0.161	0.877	0.715	1.000	0.987	1.000	1.000	0.953	0.304	1.000	0.926	0.959
전남	0.000	1.000	1.000	1.000	1.000	1.000	0.982	1.000	0.454	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.608	0.982	1.000	1.000
전북	0.000	0.926	0.698	0.835	0.722	0.946	1.000	0.968	0.537	0.921	0.715	1.000	0.987	0.953	1.000	1.000	0.304	1.000	0.987	0.959
제주	0.342	0.497	0.304	0.000	0.044	0.304	0.510	0.304	0.652	0.677	0.307	0.000	0.437	0.304	0.608	0.304	1.000	0.510	0.304	0.608
충남	0.000	1.000	1.000	1.000	1.000	1.000	0.982	1.000	0.430	1.000	1.000	1.000	1.000	1.000	0.982	1.000	0.510	1.000	1.000	1.000
충북	0.000	0.926	0.644	0.814	0.677	0.937	1.000	0.951	0.420	0.980	0.680	1.000	0.940	0.926	1.000	0.987	0.304	1.000	1.000	0.937
총합계	0.000	0.926	1.000	1.000	0.647	0.930	1.000	0.937	0.343	0.908	0.657	1.000	0.979	0.959	1.000	0.959	0.608	1.000	0.937	1.000

Heatmap
Table

	연도	강원	경기	경남	경북	광주	대구	대전	부산	서울	울산	인천	전남	전북	제주	충남	충북	총합계	부문
연도	1.000	-0.031	0.130	0.024	-0.228	-0.283	-0.232	-0.212	-0.130	-0.087	0.071	0.071	0.087	-0.256	0.236	-0.098	-0.059	0.020	0.000
강원	-0.031	1.000	0.887	0.575	0.488	0.809	0.681	0.290	0.460	-0.535	0.448	0.914	0.453	0.579	-0.701	0.955	0.683	0.665	0.624
경기	0.130	0.887	1.000	0.753	0.486	0.831	0.730	0.447	0.539	-0.540	0.530	0.931	0.549	0.610	-0.525	0.834	0.758	0.804	0.577
경남	0.024	0.575	0.753	1.000	0.805	0.748	0.868	0.845	0.858	-0.539	0.773	0.656	0.835	0.875	-0.426	0.577	0.888	0.932	0.624
경북	-0.228	0.488	0.486	0.805	1.000	0.630	0.853	0.831	0.923	-0.629	0.873	0.512	0.878	0.914	-0.566	0.544	0.834	0.809	0.667
광주	-0.283	0.809	0.831	0.748	0.630	1.000	0.848	0.619	0.670	-0.521	0.523	0.784	0.544	0.765	-0.591	0.822	0.782	0.777	0.973
대구	-0.232	0.681	0.730	0.868	0.853	0.848	1.000	0.801	0.831	-0.504	0.717	0.727	0.779	0.913	-0.513	0.694	0.913	0.917	0.667
대전	-0.212	0.290	0.447	0.845	0.831	0.619	0.801	1.000	0.906	-0.509	0.765	0.340	0.842	0.865	-0.235	0.304	0.716	0.810	0.698
부산	-0.130	0.460	0.539	0.858	0.923	0.670	0.831	0.906	1.000	-0.653	0.875	0.500	0.936	0.887	-0.478	0.519	0.764	0.845	0.913
서울	-0.087	-0.535	-0.540	-0.539	-0.629	-0.521	-0.504	-0.509	-0.653	1.000	-0.752	-0.500	-0.740	-0.575	0.591	-0.505	-0.438	-0.500	0.633
울산	0.071	0.448	0.530	0.773	0.873	0.523	0.717	0.765	0.875	-0.752	1.000	0.512	0.923	0.782	-0.453	0.427	0.714	0.790	0.667
인천	0.071	0.914	0.931	0.656	0.512	0.784	0.727	0.340	0.500	-0.500	0.512	1.000	0.509	0.605	-0.613	0.886	0.752	0.752	0.667
전남	0.087	0.453	0.549	0.835	0.878	0.544	0.779	0.842	0.936	-0.740	0.923	0.509	1.000	0.816	-0.465	0.451	0.713	0.835	0.973
전북	-0.256	0.579	0.610	0.875	0.914	0.765	0.913	0.865	0.887	-0.575	0.782	0.605	0.816	1.000	-0.536	0.603	0.857	0.844	0.667
제주	0.236	-0.701	-0.525	-0.426	-0.566	-0.591	-0.513	-0.235	-0.478	0.591	-0.453	-0.613	-0.465	-0.536	1.000	-0.717	-0.513	-0.394	0.424
충남	-0.098	0.955	0.834	0.577	0.544	0.822	0.694	0.304	0.519	-0.505	0.427	0.886	0.451	0.603	-0.717	1.000	0.697	0.652	0.973
충북	-0.059	0.683	0.758	0.888	0.834	0.782	0.913	0.716	0.764	-0.438	0.714	0.752	0.713	0.857	-0.513	0.697	1.000	0.918	0.667
총합계	0.020	0.665	0.804	0.932	0.809	0.777	0.917	0.810	0.845	-0.500	0.790	0.752	0.835	0.844	-0.394	0.652	0.918	1.000	0.667
부문	0.000	0.624	0.577	0.624	0.667	0.973	0.667	0.698	0.913	0.633	0.667	0.667	0.973	0.667	0.424	0.973	0.667	0.667	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

	연도	부문	강원	경기	경남	경북	광주	대구	대전	부산	서울	세종	울산	인천	전남	전북	제주	충남	충북	총합계
0	2016	산업	2935737	12611928	1783935	11857803	340023	1142533	401348	756390	336178	151144	10176829	4191346	23012547	3440926	10802	16555762	2950959	92656192
1	2016	건물	114209	543964	63891	61981	45986	72163	186566	188650	1098288	10757	20391	133648	13782	38881	19259	56663	49194	2718273
2	2016	수송	48601	606547	103645	81252	48036	122609	398814	430489	1139498	해당없음	48144	136914	75937	99607	128349	40912	55350	3564704
3	2017	산업	4130954	14639928	1792766	11638519	344712	1057100	408571	811740	335492	149940	10505312	3990587	23878885	3339371	12765	17615444	2920690	97572773
4	2017	건물	115054	578934	65054	62656	44746	80761	187582	181131	1089089	10334	23514	142337	17531	40074	19726	51532	54643	2764699
5	2017	수송	60052	602492	100186	81350	46579	123151	409748	446846	1069391	해당없음	40781	132990	82782	103207	93749	43167	55283	3491754
6	2018	산업	5030380	16621354	1654082	11853913	334776	1056182	405152	830322	368815	154448	11693667	4355896	24263435	3183620	12782	17987200	2911602	102717626
7	2018	건물	129880	626877	79997	63804	46038	82659	193755	184566	1116202	9442	24216	165986	19448	39893	25932	56472	55001	2920169
8	2018	수송	57721	592194	100828	87535	43245	114742	379810	381950	1164137	해당없음	37657	136033	81698	52692	20623	45433	57400	3353698
9	2019	산업	4780198	17095708	1617237	11930608	320334	1065734	385688	772670	330444	166535	12220058	4582536	24214505	3078530	22141	18389085	3042463	104014475

	연도	부문	강원	경기	경남	경북	광주	대구	대전	부산	서울	세종	울산	인천	전남	전북	제주	충남	충북	총합계
11	2019	수송	52830	570093	96090	89057	32242	107990	369509	391475	1171170	해당없음	41239	144630	76514	50466	28692	46306	69648	3337950
12	2020	산업	4522113	16724962	1575680	11476949	317597	952094	380113	736492	348806	167949	11452081	4708752	22481880	2871501	16215	16834721	3175934	98743839
13	2020	건물	110581	668890	82444	54722	40917	76886	190112	188083	1047532	12032	25187	146973	24146	38365	24347	43198	48919	2823334
14	2020	수송	32544	475177	83915	71605	27820	70141	335642	333798	941563	해당없음	43543	121324	74994	46821	32581	35013	51411	2777892
15	2021	산업	4390806	18215915	3575757	11576772	336299	1056328	396631	738556	377290	175291	11609861	4653756	24145695	3098024	17507	16637546	3231346	104233378
16	2021	건물	111354	712522	88263	56378	43654	77871	200231	185605	1083970	14524	22700	153777	23250	38136	36003	46833	52511	2947581
17	2021	수송	26574	467647	76859	71223	30109	77787	333511	340142	1021857	해당없음	43821	119384	81320	39378	27921	33138	49983	2840652
18	2022	산업	4951493	19118946	4456729	10091366	335596	1001669	380548	733396	416623	189854	11163931	4174058	22461725	2855605	18105	17086308	3255048	102690999
19	2022	건물	126054	797934	86191	58929	47187	84660	213930	192351	1149622	14857	22598	166295	22879	41228	37618	62116	54817	3179263
20	2022	수송	38128	450932	83713	67147	26235	78898	320589	344440	1040780	해당없음	47232	126810	97027	40000	34420	33554	49320	2879226

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Interactions

Correlations

Missing values

Sample