gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	9946
Missing cells	269
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	119.0 B

Variable types

Numeric	7
Text	3
Categorical	3
DateTime	1

Dataset

Description	한국농어촌공사가 관리하는 농업용수로 사용되는 저수지의 주소,담당관리기관,조사일자, 수질정보 등
Author	한국농어촌공사
URL	https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001275

Alerts

`조사구분` has constant value ""	Constant
`관리구분` has constant value ""	Constant
`COD` is highly overall correlated with `TOC` and 1 other fields	High correlation
`TOC` is highly overall correlated with `COD`	High correlation
`T-P` is highly overall correlated with `COD`	High correlation
`시설구분` is highly imbalanced (97.6%)	Imbalance
`SS` has 106 (1.1%) missing values	Missing
`SS` is highly skewed (γ1 = 24.50815622)	Skewed

Reproduction

Analysis started	2023-12-11 03:14:48.122118
Analysis finished	2023-12-11 03:14:56.861152
Duration	8.74 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

표준코드
Real number (ℝ)

Distinct	2521
Distinct (%)	25.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5789264 × 10⁹

Minimum	2.6710101 × 10⁹
Maximum	5.01301 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	2.6710101 × 10⁹
5-th percentile	3.1710103 × 10⁹
Q1	4.5720101 × 10⁹
median	4.6830101 × 10⁹
Q3	4.7750101 × 10⁹
95-th percentile	4.8860102 × 10⁹
Maximum	5.01301 × 10⁹
Range	2.3419999 × 10⁹
Interquartile range (IQR)	2.0299997 × 10⁸

Descriptive statistics

Standard deviation	4.0161523 × 10⁸
Coefficient of variation (CV)	0.087709475
Kurtosis	9.977121
Mean	4.5789264 × 10⁹
Median Absolute Deviation (MAD)	1.0200004 × 10⁸
Skewness	-3.1594586
Sum	4.5542002 × 10¹³
Variance	1.6129479 × 10¹⁷
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2671010085	4	< 0.1%
4717010086	4	< 0.1%
4715010041	4	< 0.1%
4715010143	4	< 0.1%
4715010177	4	< 0.1%
4717010016	4	< 0.1%
4717010017	4	< 0.1%
4717010062	4	< 0.1%
4717010063	4	< 0.1%
4717010087	4	< 0.1%
Other values (2511)	9906	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2671010085	4	< 0.1%
2671010098	4	< 0.1%
2714010023	4	< 0.1%
2723010006	4	< 0.1%
2723010007	4	< 0.1%
2723010012	4	< 0.1%
2726010001	4	< 0.1%
2726010006	4	< 0.1%
2726010008	4	< 0.1%
2726010019	4	< 0.1%

Value	Count	Frequency (%)
5013010001	4	< 0.1%
4971010003	4	< 0.1%
4971010002	4	< 0.1%
4971010001	4	< 0.1%
4889010614	4	< 0.1%
4889010613	4	< 0.1%
4889010610	4	< 0.1%
4889010609	4	< 0.1%
4889010608	4	< 0.1%
4889010607	4	< 0.1%

시설명
Text

Distinct	1973
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

Length

Max length	8
Median length	2
Mean length	2.2273276
Min length	1

Characters and Unicode

Total characters	22153
Distinct characters	368
Distinct categories	5 ?
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	7 ?
Unique (%)	0.1%

Sample

1st row	송정
2nd row	송정
3rd row	송정
4th row	송정
5th row	임기

Value	Count	Frequency (%)
연화	36	0.4%
대곡	36	0.4%
학동	36	0.4%
신기	32	0.3%
방축	32	0.3%
연동	28	0.3%
백운	28	0.3%
신흥	26	0.3%
신풍	24	0.2%
가곡	24	0.2%
Other values (1963)	9644	97.0%

Most occurring characters

Value	Count	Frequency (%)
곡	862	3.9%
동	755	3.4%
산	713	3.2%
신	510	2.3%
대	431	1.9%
정	408	1.8%
지	377	1.7%
천	330	1.5%
평	316	1.4%
용	316	1.4%
Other values (358)	17135	77.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	21220	95.8%
Decimal Number	619	2.8%
Open Punctuation	155	0.7%
Close Punctuation	155	0.7%
Dash Punctuation	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
곡	862	4.1%
동	755	3.6%
산	713	3.4%
신	510	2.4%
대	431	2.0%
정	408	1.9%
지	377	1.8%
천	330	1.6%
평	316	1.5%
용	316	1.5%
Other values (349)	16202	76.4%

Decimal Number

Value	Count	Frequency (%)
1	292	47.2%
2	271	43.8%
3	36	5.8%
4	12	1.9%
5	4	0.6%
6	4	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	155	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	155	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	21220	95.8%
Common	933	4.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
곡	862	4.1%
동	755	3.6%
산	713	3.4%
신	510	2.4%
대	431	2.0%
정	408	1.9%
지	377	1.8%
천	330	1.6%
평	316	1.5%
용	316	1.5%
Other values (349)	16202	76.4%

Common

Value	Count	Frequency (%)
1	292	31.3%
2	271	29.0%
(	155	16.6%
)	155	16.6%
3	36	3.9%
4	12	1.3%
-	4	0.4%
5	4	0.4%
6	4	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	21220	95.8%
ASCII	933	4.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
곡	862	4.1%
동	755	3.6%
산	713	3.4%
신	510	2.4%
대	431	2.0%
정	408	1.9%
지	377	1.8%
천	330	1.6%
평	316	1.5%
용	316	1.5%
Other values (349)	16202	76.4%

ASCII

Value	Count	Frequency (%)
1	292	31.3%
2	271	29.0%
(	155	16.6%
)	155	16.6%
3	36	3.9%
4	12	1.3%
-	4	0.4%
5	4	0.4%
6	4	0.4%

조사구분
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

공사조사	9946

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	공사조사
2nd row	공사조사
3rd row	공사조사
4th row	공사조사
5th row	공사조사

Common Values

Value	Count	Frequency (%)
공사조사	9946	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공사조사	9946	100.0%

주소
Text

Distinct	1787
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

Length

Max length	22
Median length	16
Mean length	15.853408
Min length	11

Characters and Unicode

Total characters	157678
Distinct characters	310
Distinct categories	3 ?
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	부산광역시 기장군 철마면 송정리
2nd row	부산광역시 기장군 철마면 송정리
3rd row	부산광역시 기장군 철마면 송정리
4th row	부산광역시 기장군 철마면 송정리
5th row	부산광역시 기장군 철마면 임기리

Value	Count	Frequency (%)
전라남도	3243	8.2%
경상북도	1963	5.0%
경상남도	1759	4.5%
전라북도	1257	3.2%
나주시	632	1.6%
영암군	514	1.3%
충청남도	478	1.2%
충청북도	428	1.1%
영천시	328	0.8%
합천군	288	0.7%
Other values (2189)	28627	72.4%

Most occurring characters

Value	Count	Frequency (%)
	29571	18.8%
도	10009	6.3%
리	9426	6.0%
면	8043	5.1%
남	6836	4.3%
군	6407	4.1%
전	4880	3.1%
라	4544	2.9%
북	4343	2.8%
경	4280	2.7%
Other values (300)	69339	44.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	128103	81.2%
Space Separator	29571	18.8%
Decimal Number	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	10009	7.8%
리	9426	7.4%
면	8043	6.3%
남	6836	5.3%
군	6407	5.0%
전	4880	3.8%
라	4544	3.5%
북	4343	3.4%
경	4280	3.3%
시	4237	3.3%
Other values (298)	65098	50.8%

Space Separator

Value	Count	Frequency (%)
	29571	100.0%

Decimal Number

Value	Count	Frequency (%)
1	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	128103	81.2%
Common	29575	18.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	10009	7.8%
리	9426	7.4%
면	8043	6.3%
남	6836	5.3%
군	6407	5.0%
전	4880	3.8%
라	4544	3.5%
북	4343	3.4%
경	4280	3.3%
시	4237	3.3%
Other values (298)	65098	50.8%

Common

Value	Count	Frequency (%)
	29571	> 99.9%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	128103	81.2%
ASCII	29575	18.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	29571	> 99.9%
1	4	< 0.1%

Hangul

Value	Count	Frequency (%)
도	10009	7.8%
리	9426	7.4%
면	8043	6.3%
남	6836	5.3%
군	6407	5.0%
전	4880	3.8%
라	4544	3.5%
북	4343	3.4%
경	4280	3.3%
시	4237	3.3%
Other values (298)	65098	50.8%

시설구분
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

저수지	9922
담수호	24

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	저수지
2nd row	저수지
3rd row	저수지
4th row	저수지
5th row	저수지

Common Values

Value	Count	Frequency (%)
저수지	9922	99.8%
담수호	24	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
저수지	9922	99.8%
담수호	24	0.2%

관리구분
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

공사	9946

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	공사
2nd row	공사
3rd row	공사
4th row	공사
5th row	공사

Common Values

Value	Count	Frequency (%)
공사	9946	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공사	9946	100.0%

관리기관
Text

Distinct	94
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

Length

Max length	8
Median length	4
Mean length	4.8128896
Min length	4

Characters and Unicode

Total characters	47869
Distinct characters	100
Distinct categories	1 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	울산지사
2nd row	울산지사
3rd row	울산지사
4th row	울산지사
5th row	울산지사

Value	Count	Frequency (%)
나주지사	624	6.3%
영암지사	514	5.2%
영천지사	328	3.3%
무안신안지사	291	2.9%
합천지사	288	2.9%
해남완도지사	284	2.9%
전주완주임실지사	281	2.8%
울산지사	264	2.7%
남원지사	264	2.7%
의성군위지사	240	2.4%
Other values (84)	6568	66.0%

Most occurring characters

Value	Count	Frequency (%)
사	10166	21.2%
지	9926	20.7%
주	2083	4.4%
천	1617	3.4%
영	1569	3.3%
산	1104	2.3%
양	1021	2.1%
성	934	2.0%
안	880	1.8%
남	757	1.6%
Other values (90)	17812	37.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	47869	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
사	10166	21.2%
지	9926	20.7%
주	2083	4.4%
천	1617	3.4%
영	1569	3.3%
산	1104	2.3%
양	1021	2.1%
성	934	2.0%
안	880	1.8%
남	757	1.6%
Other values (90)	17812	37.2%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	47869	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
사	10166	21.2%
지	9926	20.7%
주	2083	4.4%
천	1617	3.4%
영	1569	3.3%
산	1104	2.3%
양	1021	2.1%
성	934	2.0%
안	880	1.8%
남	757	1.6%
Other values (90)	17812	37.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	47869	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
사	10166	21.2%
지	9926	20.7%
주	2083	4.4%
천	1617	3.4%
영	1569	3.3%
산	1104	2.3%
양	1021	2.1%
성	934	2.0%
안	880	1.8%
남	757	1.6%
Other values (90)	17812	37.2%

조사일자
Date

Distinct	149
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	77.8 KiB

Minimum	2017-02-28 00:00:00
Maximum	2017-12-13 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

pH
Real number (ℝ)

Distinct	50
Distinct (%)	0.5%
Missing	18
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	7.4161261

Minimum	5.6
Maximum	10.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	5.6
5-th percentile	6.5
Q1	7
median	7.3
Q3	7.7
95-th percentile	8.7
Maximum	10.8
Range	5.2
Interquartile range (IQR)	0.7

Descriptive statistics

Standard deviation	0.65346156
Coefficient of variation (CV)	0.088113599
Kurtosis	1.4671749
Mean	7.4161261
Median Absolute Deviation (MAD)	0.4
Skewness	0.97994696
Sum	73627.3
Variance	0.42701201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.0	738	7.4%
7.2	726	7.3%
7.1	707	7.1%
7.3	685	6.9%
7.4	658	6.6%
7.5	600	6.0%
6.9	596	6.0%
7.6	553	5.6%
6.8	552	5.5%
7.7	462	4.6%
Other values (40)	3651	36.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.6	1	< 0.1%
5.7	1	< 0.1%
5.8	1	< 0.1%
5.9	1	< 0.1%
6.0	14	0.1%
6.1	26	0.3%
6.2	48	0.5%
6.3	92	0.9%
6.4	137	1.4%
6.5	196	2.0%

Value	Count	Frequency (%)
10.8	1	< 0.1%
10.6	1	< 0.1%
10.3	3	< 0.1%
10.2	9	0.1%
10.1	6	0.1%
10.0	4	< 0.1%
9.9	10	0.1%
9.8	15	0.2%
9.7	10	0.1%
9.6	23	0.2%

COD
Real number (ℝ)

HIGH CORRELATION

Distinct	264
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.3560828

Minimum	0
Maximum	118.5
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2.6
Q1	4.7
median	6.6
Q3	9
95-th percentile	14.8
Maximum	118.5
Range	118.5
Interquartile range (IQR)	4.3

Descriptive statistics

Standard deviation	4.5006058
Coefficient of variation (CV)	0.61182098
Kurtosis	87.795442
Mean	7.3560828
Median Absolute Deviation (MAD)	2.1
Skewness	5.5761455
Sum	73163.6
Variance	20.255453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.4	201	2.0%
4.8	192	1.9%
6.2	191	1.9%
4.4	188	1.9%
5.2	184	1.8%
6.0	180	1.8%
5.0	180	1.8%
7.0	176	1.8%
5.6	176	1.8%
6.8	175	1.8%
Other values (254)	8103	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	< 0.1%
0.5	1	< 0.1%
0.6	5	0.1%
0.8	6	0.1%
0.9	1	< 0.1%
1.0	11	0.1%
1.1	3	< 0.1%
1.2	25	0.3%
1.3	10	0.1%
1.4	25	0.3%

Value	Count	Frequency (%)
118.5	1	< 0.1%
106.5	1	< 0.1%
77.8	1	< 0.1%
77.4	1	< 0.1%
74.9	1	< 0.1%
62.1	1	< 0.1%
51.1	1	< 0.1%
50.0	1	< 0.1%
48.1	1	< 0.1%
47.5	1	< 0.1%

TOC
Real number (ℝ)

HIGH CORRELATION

Distinct	167
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2859743

Minimum	0.2
Maximum	74.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	0.2
5-th percentile	1.4
Q1	2.6
median	3.9
Q3	5.4
95-th percentile	8.4
Maximum	74.7
Range	74.5
Interquartile range (IQR)	2.8

Descriptive statistics

Standard deviation	2.4418015
Coefficient of variation (CV)	0.56971912
Kurtosis	76.390101
Mean	4.2859743
Median Absolute Deviation (MAD)	1.4
Skewness	3.9515183
Sum	42628.3
Variance	5.9623945
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.4	224	2.3%
2.2	220	2.2%
3.3	220	2.2%
3.8	212	2.1%
4.2	205	2.1%
2.6	204	2.1%
2.7	204	2.1%
3.2	201	2.0%
3.4	200	2.0%
3.6	197	2.0%
Other values (157)	7859	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	< 0.1%
0.3	3	< 0.1%
0.4	7	0.1%
0.5	16	0.2%
0.6	15	0.2%
0.7	16	0.2%
0.8	24	0.2%
0.9	48	0.5%
1.0	61	0.6%
1.1	71	0.7%

Value	Count	Frequency (%)
74.7	1	< 0.1%
35.9	1	< 0.1%
30.3	1	< 0.1%
23.5	1	< 0.1%
20.7	1	< 0.1%
20.5	1	< 0.1%
20.4	1	< 0.1%
19.5	1	< 0.1%
19.2	1	< 0.1%
18.5	3	< 0.1%

T-N
Real number (ℝ)

Distinct	2934
Distinct (%)	29.7%
Missing	73
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	1.2990533

Minimum	0.002
Maximum	22.277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	0.002
5-th percentile	0.3416
Q1	0.643
median	0.954
Q3	1.557
95-th percentile	3.2334
Maximum	22.277
Range	22.275
Interquartile range (IQR)	0.914

Descriptive statistics

Standard deviation	1.2188044
Coefficient of variation (CV)	0.9382251
Kurtosis	55.050891
Mean	1.2990533
Median Absolute Deviation (MAD)	0.39
Skewness	5.3180171
Sum	12825.553
Variance	1.4854841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.803	23	0.2%
0.625	23	0.2%
0.662	21	0.2%
0.985	21	0.2%
0.704	20	0.2%
0.854	19	0.2%
0.907	19	0.2%
0.672	19	0.2%
0.719	18	0.2%
0.657	18	0.2%
Other values (2924)	9672	97.2%
(Missing)	73	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.002	1	< 0.1%
0.004	1	< 0.1%
0.02	1	< 0.1%
0.026	1	< 0.1%
0.038	1	< 0.1%
0.042	1	< 0.1%
0.054	1	< 0.1%
0.056	1	< 0.1%
0.061	2	< 0.1%
0.062	1	< 0.1%

Value	Count	Frequency (%)
22.277	1	< 0.1%
20.641	1	< 0.1%
20.155	1	< 0.1%
20.017	1	< 0.1%
19.547	1	< 0.1%
18.679	1	< 0.1%
16.762	1	< 0.1%
16.201	1	< 0.1%
14.526	1	< 0.1%
14.3	1	< 0.1%

T-P
Real number (ℝ)

HIGH CORRELATION

Distinct	505
Distinct (%)	5.1%
Missing	72
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.070552765

Minimum	0
Maximum	2.1
Zeros	22
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.009
Q1	0.021
median	0.039
Q3	0.079
95-th percentile	0.21335
Maximum	2.1
Range	2.1
Interquartile range (IQR)	0.058

Descriptive statistics

Standard deviation	0.11357988
Coefficient of variation (CV)	1.6098573
Kurtosis	85.690665
Mean	0.070552765
Median Absolute Deviation (MAD)	0.023
Skewness	7.2863463
Sum	696.638
Variance	0.01290039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.021	197	2.0%
0.018	191	1.9%
0.016	177	1.8%
0.012	174	1.7%
0.019	174	1.7%
0.02	173	1.7%
0.023	173	1.7%
0.022	169	1.7%
0.014	160	1.6%
0.015	155	1.6%
Other values (495)	8131	81.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	22	0.2%
0.001	14	0.1%
0.002	12	0.1%
0.003	34	0.3%
0.004	42	0.4%
0.005	65	0.7%
0.006	71	0.7%
0.007	101	1.0%
0.008	105	1.1%
0.009	130	1.3%

Value	Count	Frequency (%)
2.1	1	< 0.1%
2.081	1	< 0.1%
2.013	1	< 0.1%
1.975	1	< 0.1%
1.911	1	< 0.1%
1.82	1	< 0.1%
1.805	1	< 0.1%
1.788	1	< 0.1%
1.709	1	< 0.1%
1.536	1	< 0.1%

SS
Real number (ℝ)

MISSING SKEWED

Distinct	473
Distinct (%)	4.8%
Missing	106
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%
Mean	8.961311

Minimum	0
Maximum	988
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	87.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3.3
median	5.8
Q3	9.2
95-th percentile	27
Maximum	988
Range	988
Interquartile range (IQR)	5.9

Descriptive statistics

Standard deviation	16.999515
Coefficient of variation (CV)	1.8969897
Kurtosis	1187.1427
Mean	8.961311
Median Absolute Deviation (MAD)	2.8
Skewness	24.508156
Sum	88179.3
Variance	288.98351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.0	310	3.1%
2.0	292	2.9%
3.0	259	2.6%
6.0	254	2.6%
1.0	218	2.2%
5.0	206	2.1%
8.0	198	2.0%
5.2	184	1.8%
2.5	167	1.7%
7.0	154	1.5%
Other values (463)	7598	76.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3	< 0.1%
0.1	4	< 0.1%
0.2	15	0.2%
0.3	16	0.2%
0.4	39	0.4%
0.5	67	0.7%
0.6	42	0.4%
0.7	22	0.2%
0.8	62	0.6%
0.9	21	0.2%

Value	Count	Frequency (%)
988.0	1	< 0.1%
409.0	1	< 0.1%
333.0	1	< 0.1%
246.4	1	< 0.1%
223.0	1	< 0.1%
206.0	1	< 0.1%
202.0	1	< 0.1%
201.0	1	< 0.1%
195.9	1	< 0.1%
186.0	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	표준코드	시설구분	관리기관	pH	COD	TOC	T-N	T-P	SS
표준코드	1.000	0.064	0.995	0.140	0.043	0.035	0.079	0.095	0.038
시설구분	0.064	1.000	0.709	0.000	0.039	0.058	0.065	0.009	0.000
관리기관	0.995	0.709	1.000	0.483	0.249	0.283	0.281	0.273	0.059
pH	0.140	0.000	0.483	1.000	0.155	0.108	0.055	0.095	0.083
COD	0.043	0.039	0.249	0.155	1.000	0.846	0.392	0.698	0.464
TOC	0.035	0.058	0.283	0.108	0.846	1.000	0.599	0.287	0.180
T-N	0.079	0.065	0.281	0.055	0.392	0.599	1.000	0.409	0.000
T-P	0.095	0.009	0.273	0.095	0.698	0.287	0.409	1.000	0.125
SS	0.038	0.000	0.059	0.083	0.464	0.180	0.000	0.125	1.000

Heatmap
Table

	표준코드	pH	COD	TOC	T-N	T-P	SS	시설구분
표준코드	1.000	0.103	0.065	0.070	-0.143	0.015	0.065	0.068
pH	0.103	1.000	-0.046	-0.020	-0.031	-0.145	-0.036	0.000
COD	0.065	-0.046	1.000	0.918	0.051	0.524	0.447	0.038
TOC	0.070	-0.020	0.918	1.000	0.033	0.481	0.386	0.042
T-N	-0.143	-0.031	0.051	0.033	1.000	0.202	0.086	0.050
T-P	0.015	-0.145	0.524	0.481	0.202	1.000	0.423	0.009
SS	0.065	-0.036	0.447	0.386	0.086	0.423	1.000	0.000
시설구분	0.068	0.000	0.038	0.042	0.050	0.009	0.000	1.000

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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	표준코드	시설명	조사구분	주소	시설구분	관리구분	관리기관	조사일자	pH	COD	TOC	T-N	T-P	SS
0	2671010085	송정	공사조사	부산광역시 기장군 철마면 송정리	저수지	공사	울산지사	2017-04-19	7.2	2.0	1.4	0.848	0.011	0.7
1	2671010085	송정	공사조사	부산광역시 기장군 철마면 송정리	저수지	공사	울산지사	2017-06-13	7.6	2.8	1.7	0.466	0.01	3.0
2	2671010085	송정	공사조사	부산광역시 기장군 철마면 송정리	저수지	공사	울산지사	2017-09-19	6.6	3.6	2.3	0.284	0.005	5.8
3	2671010085	송정	공사조사	부산광역시 기장군 철마면 송정리	저수지	공사	울산지사	2017-11-23	8.6	4.2	2.4	0.521	0.019	5.5
4	2671010098	임기	공사조사	부산광역시 기장군 철마면 임기리	저수지	공사	울산지사	2017-04-19	7.4	1.2	0.6	0.892	0.006	4.1
5	2671010098	임기	공사조사	부산광역시 기장군 철마면 임기리	저수지	공사	울산지사	2017-06-13	7.1	1.6	0.8	0.826	0.014	1.9
6	2671010098	임기	공사조사	부산광역시 기장군 철마면 임기리	저수지	공사	울산지사	2017-09-19	6.3	3.0	2.2	0.496	0.003	9.2
7	2671010098	임기	공사조사	부산광역시 기장군 철마면 임기리	저수지	공사	울산지사	2017-11-23	8.5	2.2	1.3	0.382	0.013	2.3
8	2714010023	신	공사조사	대구광역시 동구 각산동	저수지	공사	경산청도지사	2017-04-04	8.3	7.7	3.3	0.922	0.021	5.2
9	2714010023	신	공사조사	대구광역시 동구 각산동	저수지	공사	경산청도지사	2017-06-13	8.2	11.4	8.2	0.509	0.029	9.2

	표준코드	시설명	조사구분	주소	시설구분	관리구분	관리기관	조사일자	pH	COD	TOC	T-N	T-P	SS
9936	4971010002	귀엄	공사조사	제주특별자치도 제주시 애월읍 수산리	저수지	공사	제주본부	2017-08-28	7.6	8.6	5.1	0.509	0.016	14.0
9937	4971010002	귀엄	공사조사	제주특별자치도 제주시 애월읍 수산리	저수지	공사	제주본부	2017-03-21	6.8	7.0	4.3	1.338	0.042	15.2
9938	4971010003	용수	공사조사	제주특별자치도 제주시 한경면 용수리	저수지	공사	제주본부	2017-03-21	8.3	9.8	4.8	1.104	0.052	19.0
9939	4971010003	용수	공사조사	제주특별자치도 제주시 한경면 용수리	저수지	공사	제주본부	2017-06-12	8.6	16.0	7.8	0.697	0.052	24.7
9940	4971010003	용수	공사조사	제주특별자치도 제주시 한경면 용수리	저수지	공사	제주본부	2017-08-28	10.2	22.4	10.2	1.085	0.043	38.1
9941	4971010003	용수	공사조사	제주특별자치도 제주시 한경면 용수리	저수지	공사	제주본부	2017-03-21	9.0	31.3	13.1	1.699	0.089	98.4
9942	5013010001	성읍	공사조사	제주특별자치도 서귀포시 표선읍 성읍리	저수지	공사	제주본부	2017-03-21	7.2	6.6	4.0	0.359	0.024	3.1
9943	5013010001	성읍	공사조사	제주특별자치도 서귀포시 표선읍 성읍리	저수지	공사	제주본부	2017-06-12	6.8	6.8	2.9	0.233	0.012	5.0
9944	5013010001	성읍	공사조사	제주특별자치도 서귀포시 표선읍 성읍리	저수지	공사	제주본부	2017-08-28	7.8	10.0	6.6	0.45	0.021	8.7
9945	5013010001	성읍	공사조사	제주특별자치도 서귀포시 표선읍 성읍리	저수지	공사	제주본부	2017-03-21	6.3	9.4	6.4	1.413	0.039	5.7

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

Interactions

Correlations

Missing values

Sample