gimi9 Pandas Profiling

Dataset statistics

Number of variables	11
Number of observations	3840
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	337.6 KiB
Average record size in memory	90.0 B

Variable types

Categorical	1
Numeric	2
Text	8

Dataset

Description	한국전력공사 영업통계에 대한 정보입니다. e영업통계 정보(일반용, 교육용, 산업용, 농사용, 가로등, 심야)에 대한 정보로 2016도 데이터입니다.
Author	한국전력공사
URL	https://www.data.go.kr/data/15053170/fileData.do

Reproduction

Analysis started	2023-12-12 05:19:30.430466
Analysis finished	2023-12-12 05:19:31.642270
Duration	1.21 second
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Categorical

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

광역시도별 계약종별별 고객호수 추이	1152
광역시도별 계약종별별 판매량 추이	1152
광역시도별 계약종별별 판매수입 추이	1152
계약종별별 고객호수 추이	64
계약종별별 판매량 추이	64
Other values (4)	256

Length

Max length	19
Median length	19
Mean length	18.166667
Min length	12

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	계약종별별 고객호수 추이
2nd row	계약종별별 고객호수 추이
3rd row	계약종별별 고객호수 추이
4th row	계약종별별 고객호수 추이
5th row	계약종별별 고객호수 추이

Common Values

Value	Count	Frequency (%)
광역시도별 계약종별별 고객호수 추이	1152	30.0%
광역시도별 계약종별별 판매량 추이	1152	30.0%
광역시도별 계약종별별 판매수입 추이	1152	30.0%
계약종별별 고객호수 추이	64	1.7%
계약종별별 판매량 추이	64	1.7%
계약종별별 판매수입 추이	64	1.7%
산업용 업종별 고객호수 추이	64	1.7%
산업용 업종별 판매량 추이	64	1.7%
산업용 업종별 판매수입 추이	64	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
추이	3840	25.3%
계약종별별	3648	24.1%
광역시도별	3456	22.8%
고객호수	1280	8.4%
판매량	1280	8.4%
판매수입	1280	8.4%
산업용	192	1.3%
업종별	192	1.3%

연도
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.1875

Minimum	2011
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.9 KiB

Quantile statistics

Minimum	2011
5-th percentile	2011
Q1	2012
median	2013
Q3	2014.25
95-th percentile	2016
Maximum	2016
Range	5
Interquartile range (IQR)	2.25

Descriptive statistics

Standard deviation	1.5501515
Coefficient of variation (CV)	0.00076999855
Kurtosis	-1.1489796
Mean	2013.1875
Median Absolute Deviation (MAD)	1
Skewness	0.088550454
Sum	7730640
Variance	2.4029695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2011	720	18.8%
2012	720	18.8%
2013	720	18.8%
2014	720	18.8%
2015	720	18.8%
2016	240	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2011	720	18.8%
2012	720	18.8%
2013	720	18.8%
2014	720	18.8%
2015	720	18.8%
2016	240	6.2%

Value	Count	Frequency (%)
2016	240	6.2%
2015	720	18.8%
2014	720	18.8%
2013	720	18.8%
2012	720	18.8%
2011	720	18.8%

월분
Real number (ℝ)

Distinct	12
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.25

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.4915147
Coefficient of variation (CV)	0.55864235
Kurtosis	-1.2448709
Mean	6.25
Median Absolute Deviation (MAD)	3
Skewness	0.099193119
Sum	24000
Variance	12.190675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	360	9.4%
2	360	9.4%
3	360	9.4%
4	360	9.4%
5	300	7.8%
6	300	7.8%
7	300	7.8%
8	300	7.8%
9	300	7.8%
10	300	7.8%
Other values (2)	600	15.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	360	9.4%
2	360	9.4%
3	360	9.4%
4	360	9.4%
5	300	7.8%
6	300	7.8%
7	300	7.8%
8	300	7.8%
9	300	7.8%
10	300	7.8%

Value	Count	Frequency (%)
12	300	7.8%
11	300	7.8%
10	300	7.8%
9	300	7.8%
8	300	7.8%
7	300	7.8%
6	300	7.8%
5	300	7.8%
4	360	9.4%
3	360	9.4%

주택용
Text

Distinct	365
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	9
Median length	7
Mean length	4.8067708
Min length	2

Characters and Unicode

Total characters	18458
Distinct characters	43
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	324 ?
Unique (%)	8.4%

Sample

1st row	12920
2nd row	12932
3rd row	12949
4th row	12970
5th row	12986

Value	Count	Frequency (%)
황해북도	192	5.0%
서울특별시	192	5.0%
충청북도	192	5.0%
부산광역시	192	5.0%
대구광역시	192	5.0%
인천광역시	192	5.0%
광주광역시	192	5.0%
대전광역시	192	5.0%
울산광역시	192	5.0%
경기도	192	5.0%
Other values (355)	1920	50.0%

Most occurring characters

Value	Count	Frequency (%)
도	1920	10.4%
시	1536	8.3%
광	1344	7.3%
역	1152	6.2%
북	768	4.2%
특	576	3.1%
별	576	3.1%
전	576	3.1%
남	576	3.1%
경	576	3.1%
Other values (33)	8858	48.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	15936	86.3%
Decimal Number	2522	13.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	1920	12.0%
시	1536	9.6%
광	1344	8.4%
역	1152	7.2%
북	768	4.8%
특	576	3.6%
별	576	3.6%
전	576	3.6%
남	576	3.6%
경	576	3.6%
Other values (23)	6336	39.8%

Decimal Number

Value	Count	Frequency (%)
3	327	13.0%
1	312	12.4%
4	272	10.8%
5	254	10.1%
9	251	10.0%
0	247	9.8%
8	225	8.9%
6	221	8.8%
2	218	8.6%
7	195	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	15936	86.3%
Common	2522	13.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	1920	12.0%
시	1536	9.6%
광	1344	8.4%
역	1152	7.2%
북	768	4.8%
특	576	3.6%
별	576	3.6%
전	576	3.6%
남	576	3.6%
경	576	3.6%
Other values (23)	6336	39.8%

Common

Value	Count	Frequency (%)
3	327	13.0%
1	312	12.4%
4	272	10.8%
5	254	10.1%
9	251	10.0%
0	247	9.8%
8	225	8.9%
6	221	8.8%
2	218	8.6%
7	195	7.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	15936	86.3%
ASCII	2522	13.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
도	1920	12.0%
시	1536	9.6%
광	1344	8.4%
역	1152	7.2%
북	768	4.8%
특	576	3.6%
별	576	3.6%
전	576	3.6%
남	576	3.6%
경	576	3.6%
Other values (23)	6336	39.8%

ASCII

Value	Count	Frequency (%)
3	327	13.0%
1	312	12.4%
4	272	10.8%
5	254	10.1%
9	251	10.0%
0	247	9.8%
8	225	8.9%
6	221	8.8%
2	218	8.6%
7	195	7.7%

일반용
Text

Distinct	3159
Distinct (%)	82.3%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	10
Median length	8
Mean length	5.5395833
Min length	1

Characters and Unicode

Total characters	21272
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2854 ?
Unique (%)	74.3%

Sample

1st row	2651
2nd row	2657
3rd row	2659
4th row	2665
5th row	2668

Value	Count	Frequency (%)
	139	3.6%
2	27	0.7%
9	9	0.2%
47	9	0.2%
46	8	0.2%
10	8	0.2%
376	6	0.2%
609	6	0.2%
507	6	0.2%
668	6	0.2%
Other values (3148)	3616	94.2%

Most occurring characters

Value	Count	Frequency (%)
1	3079	14.5%
2	2588	12.2%
3	2260	10.6%
6	2031	9.5%
5	1983	9.3%
7	1879	8.8%
0	1864	8.8%
4	1850	8.7%
9	1837	8.6%
8	1761	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21132	99.3%
Dash Punctuation	140	0.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3079	14.6%
2	2588	12.2%
3	2260	10.7%
6	2031	9.6%
5	1983	9.4%
7	1879	8.9%
0	1864	8.8%
4	1850	8.8%
9	1837	8.7%
8	1761	8.3%

Dash Punctuation

Value	Count	Frequency (%)
-	140	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21272	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3079	14.5%
2	2588	12.2%
3	2260	10.6%
6	2031	9.5%
5	1983	9.3%
7	1879	8.8%
0	1864	8.8%
4	1850	8.7%
9	1837	8.6%
8	1761	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21272	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3079	14.5%
2	2588	12.2%
3	2260	10.6%
6	2031	9.5%
5	1983	9.3%
7	1879	8.8%
0	1864	8.8%
4	1850	8.7%
9	1837	8.6%
8	1761	8.3%

교육용
Text

Distinct	2740
Distinct (%)	71.4%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	9
Median length	8
Mean length	5.3789062
Min length	1

Characters and Unicode

Total characters	20655
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2559 ?
Unique (%)	66.6%

Sample

1st row	34
2nd row	34
3rd row	35
4th row	35
5th row	35

Value	Count	Frequency (%)
	135	3.5%
35	33	0.9%
32	29	0.8%
20	25	0.7%
31	20	0.5%
141	20	0.5%
75	19	0.5%
126	17	0.4%
134	16	0.4%
120	16	0.4%
Other values (2730)	3510	91.4%

Most occurring characters

Value	Count	Frequency (%)
1	2685	13.0%
2	2521	12.2%
3	2389	11.6%
4	2210	10.7%
5	1974	9.6%
6	1857	9.0%
0	1782	8.6%
7	1771	8.6%
8	1682	8.1%
9	1648	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20519	99.3%
Dash Punctuation	136	0.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2685	13.1%
2	2521	12.3%
3	2389	11.6%
4	2210	10.8%
5	1974	9.6%
6	1857	9.1%
0	1782	8.7%
7	1771	8.6%
8	1682	8.2%
9	1648	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	20655	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2685	13.0%
2	2521	12.2%
3	2389	11.6%
4	2210	10.7%
5	1974	9.6%
6	1857	9.0%
0	1782	8.6%
7	1771	8.6%
8	1682	8.1%
9	1648	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20655	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2685	13.0%
2	2521	12.2%
3	2389	11.6%
4	2210	10.7%
5	1974	9.6%
6	1857	9.0%
0	1782	8.6%
7	1771	8.6%
8	1682	8.1%
9	1648	8.0%

산업용
Text

Distinct	2439
Distinct (%)	63.5%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	10
Median length	9
Mean length	4.2992187
Min length	1

Characters and Unicode

Total characters	16509
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2408 ?
Unique (%)	62.7%

Sample

1st row	349
2nd row	350
3rd row	350
4th row	352
5th row	352

Value	Count	Frequency (%)
1	494	12.9%
	356	9.3%
2	309	8.0%
4	93	2.4%
3	64	1.7%
7	35	0.9%
5	31	0.8%
6	4	0.1%
377	2	0.1%
350	2	0.1%
Other values (2429)	2450	63.8%

Most occurring characters

Value	Count	Frequency (%)
1	2393	14.5%
2	2325	14.1%
3	1894	11.5%
4	1570	9.5%
8	1393	8.4%
7	1334	8.1%
9	1328	8.0%
6	1326	8.0%
0	1303	7.9%
5	1286	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16152	97.8%
Dash Punctuation	357	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2393	14.8%
2	2325	14.4%
3	1894	11.7%
4	1570	9.7%
8	1393	8.6%
7	1334	8.3%
9	1328	8.2%
6	1326	8.2%
0	1303	8.1%
5	1286	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	357	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16509	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2393	14.5%
2	2325	14.1%
3	1894	11.5%
4	1570	9.5%
8	1393	8.4%
7	1334	8.1%
9	1328	8.0%
6	1326	8.0%
0	1303	7.9%
5	1286	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16509	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2393	14.5%
2	2325	14.1%
3	1894	11.5%
4	1570	9.5%
8	1393	8.4%
7	1334	8.1%
9	1328	8.0%
6	1326	8.0%
0	1303	7.9%
5	1286	7.8%

농사용
Text

Distinct	2653
Distinct (%)	69.1%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	9
Median length	7
Mean length	5.4658854
Min length	1

Characters and Unicode

Total characters	20989
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2576 ?
Unique (%)	67.1%

Sample

1st row	1201
2nd row	1200
3rd row	1764
4th row	1274
5th row	1226

Value	Count	Frequency (%)
	135	3.5%
5	114	3.0%
18	112	2.9%
6	78	2.0%
19	76	2.0%
3	64	1.7%
13	50	1.3%
12	49	1.3%
14	46	1.2%
1	43	1.1%
Other values (2643)	3073	80.0%

Most occurring characters

Value	Count	Frequency (%)
1	3211	15.3%
2	2356	11.2%
4	2099	10.0%
3	2085	9.9%
5	2075	9.9%
6	1917	9.1%
0	1888	9.0%
7	1791	8.5%
8	1745	8.3%
9	1686	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20853	99.4%
Dash Punctuation	136	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3211	15.4%
2	2356	11.3%
4	2099	10.1%
3	2085	10.0%
5	2075	10.0%
6	1917	9.2%
0	1888	9.1%
7	1791	8.6%
8	1745	8.4%
9	1686	8.1%

Dash Punctuation

Value	Count	Frequency (%)
-	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	20989	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3211	15.3%
2	2356	11.2%
4	2099	10.0%
3	2085	9.9%
5	2075	9.9%
6	1917	9.1%
0	1888	9.0%
7	1791	8.5%
8	1745	8.3%
9	1686	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20989	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3211	15.3%
2	2356	11.2%
4	2099	10.0%
3	2085	9.9%
5	2075	9.9%
6	1917	9.1%
0	1888	9.0%
7	1791	8.5%
8	1745	8.3%
9	1686	8.0%

가로등
Text

Distinct	2696
Distinct (%)	70.2%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	9
Median length	7
Mean length	4.4591146
Min length	1

Characters and Unicode

Total characters	17123
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2501 ?
Unique (%)	65.1%

Sample

1st row	1140
2nd row	1141
3rd row	1143
4th row	1148
5th row	1181

Value	Count	Frequency (%)
	255	6.6%
10	82	2.1%
8	73	1.9%
2	64	1.7%
9	62	1.6%
6	37	1.0%
11	37	1.0%
12	26	0.7%
13	17	0.4%
5	16	0.4%
Other values (2686)	3171	82.6%

Most occurring characters

Value	Count	Frequency (%)
1	2577	15.0%
2	2023	11.8%
3	1726	10.1%
6	1640	9.6%
5	1560	9.1%
4	1548	9.0%
0	1469	8.6%
9	1466	8.6%
7	1450	8.5%
8	1409	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16868	98.5%
Dash Punctuation	255	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2577	15.3%
2	2023	12.0%
3	1726	10.2%
6	1640	9.7%
5	1560	9.2%
4	1548	9.2%
0	1469	8.7%
9	1466	8.7%
7	1450	8.6%
8	1409	8.4%

Dash Punctuation

Value	Count	Frequency (%)
-	255	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	17123	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2577	15.0%
2	2023	11.8%
3	1726	10.1%
6	1640	9.6%
5	1560	9.1%
4	1548	9.0%
0	1469	8.6%
9	1466	8.6%
7	1450	8.5%
8	1409	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17123	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2577	15.0%
2	2023	11.8%
3	1726	10.1%
6	1640	9.6%
5	1560	9.1%
4	1548	9.0%
0	1469	8.6%
9	1466	8.6%
7	1450	8.5%
8	1409	8.2%

심야
Text

Distinct	2683
Distinct (%)	69.9%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	9
Median length	7
Mean length	4.5255208
Min length	1

Characters and Unicode

Total characters	17378
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2497 ?
Unique (%)	65.0%

Sample

1st row	932
2nd row	931
3rd row	931
4th row	930
5th row	928

Value	Count	Frequency (%)
	134	3.5%
7	31	0.8%
6	30	0.8%
15	29	0.8%
36	27	0.7%
34	21	0.5%
35	20	0.5%
14	20	0.5%
109	20	0.5%
28	18	0.5%
Other values (2672)	3490	90.9%

Most occurring characters

Value	Count	Frequency (%)
1	3079	17.7%
2	1891	10.9%
3	1695	9.8%
5	1681	9.7%
4	1613	9.3%
6	1565	9.0%
7	1547	8.9%
8	1396	8.0%
9	1391	8.0%
0	1385	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17243	99.2%
Dash Punctuation	135	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3079	17.9%
2	1891	11.0%
3	1695	9.8%
5	1681	9.7%
4	1613	9.4%
6	1565	9.1%
7	1547	9.0%
8	1396	8.1%
9	1391	8.1%
0	1385	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	135	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	17378	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3079	17.7%
2	1891	10.9%
3	1695	9.8%
5	1681	9.7%
4	1613	9.3%
6	1565	9.0%
7	1547	8.9%
8	1396	8.0%
9	1391	8.0%
0	1385	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17378	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3079	17.7%
2	1891	10.9%
3	1695	9.8%
5	1681	9.7%
4	1613	9.3%
6	1565	9.0%
7	1547	8.9%
8	1396	8.0%
9	1391	8.0%
0	1385	8.0%

합계
Text

Distinct	2583
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Memory size	30.1 KiB

Length

Max length	10
Median length	8
Mean length	4.6916667
Min length	1

Characters and Unicode

Total characters	18016
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	2491 ?
Unique (%)	64.9%

Sample

1st row	19227
2nd row	19246
3rd row	19831
4th row	19372
5th row	19376

Value	Count	Frequency (%)
8	161	4.2%
	142	3.7%
9	73	1.9%
20	59	1.5%
95	53	1.4%
19	51	1.3%
96	42	1.1%
21	36	0.9%
1	35	0.9%
97	34	0.9%
Other values (2572)	3154	82.1%

Most occurring characters

Value	Count	Frequency (%)
1	2681	14.9%
2	2110	11.7%
3	1798	10.0%
9	1699	9.4%
5	1668	9.3%
4	1638	9.1%
8	1595	8.9%
6	1595	8.9%
0	1544	8.6%
7	1543	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17871	99.2%
Dash Punctuation	145	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2681	15.0%
2	2110	11.8%
3	1798	10.1%
9	1699	9.5%
5	1668	9.3%
4	1638	9.2%
8	1595	8.9%
6	1595	8.9%
0	1544	8.6%
7	1543	8.6%

Dash Punctuation

Value	Count	Frequency (%)
-	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18016	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2681	14.9%
2	2110	11.7%
3	1798	10.0%
9	1699	9.4%
5	1668	9.3%
4	1638	9.1%
8	1595	8.9%
6	1595	8.9%
0	1544	8.6%
7	1543	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2681	14.9%
2	2110	11.7%
3	1798	10.0%
9	1699	9.4%
5	1668	9.3%
4	1638	9.1%
8	1595	8.9%
6	1595	8.9%
0	1544	8.6%
7	1543	8.6%

연도
월분

월분
연도

월분
연도

Phik (φk)
Auto

Heatmap
Table

	구분	연도	월분
구분	1.000	0.000	0.000
연도	0.000	1.000	0.395
월분	0.000	0.395	1.000

Heatmap
Table

	연도	월분	구분
연도	1.000	-0.120	0.000
월분	-0.120	1.000	0.000
구분	0.000	0.000	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

	구분	연도	월분	주택용	일반용	교육용	산업용	농사용	가로등	심야	합계
0	계약종별별 고객호수 추이	2011	1	12920	2651	34	349	1201	1140	932	19227
1	계약종별별 고객호수 추이	2011	2	12932	2657	34	350	1200	1141	931	19246
2	계약종별별 고객호수 추이	2011	3	12949	2659	35	350	1764	1143	931	19831
3	계약종별별 고객호수 추이	2011	4	12970	2665	35	352	1274	1148	930	19372
4	계약종별별 고객호수 추이	2011	5	12986	2668	35	352	1226	1181	928	19376
5	계약종별별 고객호수 추이	2011	6	13011	2673	35	353	1236	1195	927	19430
6	계약종별별 고객호수 추이	2011	7	13034	2679	35	354	1246	1223	925	19495
7	계약종별별 고객호수 추이	2011	8	13060	2685	35	355	1257	1223	924	19539
8	계약종별별 고객호수 추이	2011	9	13094	2689	35	356	1269	1242	923	19606
9	계약종별별 고객호수 추이	2011	10	13125	2691	35	357	1274	1259	923	19663

	구분	연도	월분	주택용	일반용	교육용	산업용	농사용	가로등	심야	합계
3830	광역시도별 계약종별별 판매수입 추이	2016	4	강원도	19881240	36619667	2640707	57292283	2205291	1758277	9415723
3831	광역시도별 계약종별별 판매수입 추이	2016	4	충청북도	19891109	28542110	2444683	123205794	2675589	1615748	6614226
3832	광역시도별 계약종별별 판매수입 추이	2016	4	충청남도	25890966	38915427	3422591	272330582	7189288	1664005	8409683
3833	광역시도별 계약종별별 판매수입 추이	2016	4	전라북도	23402819	31559615	2978254	104127187	5410252	1810302	5274850
3834	광역시도별 계약종별별 판매수입 추이	2016	4	전라남도	23369035	32580067	2626254	158634464	13328615	2202111	3883700
3835	광역시도별 계약종별별 판매수입 추이	2016	4	경상북도	32202769	46927473	4643771	244771212	6383466	2658129	6935026
3836	광역시도별 계약종별별 판매수입 추이	2016	4	경상남도	42539093	55295707	3482113	169773978	9149205	2688685	5918172
3837	광역시도별 계약종별별 판매수입 추이	2016	4	제주특별자치도	7427135	15344126	933886	4727093	5844787	476113	693757
3838	광역시도별 계약종별별 판매수입 추이	2016	4	세종특별자치시	3084204	4359146	500229	13235248	271991	269719	520488
3839	광역시도별 계약종별별 판매수입 추이	2016	4	황해북도	-	-	-	-	-	54	-

Overview

Variables

Common Values

Length

Common Values (Plot)

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

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script