gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	10000
Missing cells	1
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	127.0 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=20191014000000001276

Alerts

`조사구분` has constant value ""	Constant
`관리구분` has constant value ""	Constant
`COD` is highly overall correlated with `TOC` and 2 other fields	High correlation
`TOC` is highly overall correlated with `COD` and 2 other fields	High correlation
`T-P` is highly overall correlated with `COD` and 2 other fields	High correlation
`SS` is highly overall correlated with `COD` and 2 other fields	High correlation
`시설구분` is highly imbalanced (99.1%)	Imbalance

Reproduction

Analysis started	2023-12-11 03:33:19.745723
Analysis finished	2023-12-11 03:33:27.994044
Duration	8.25 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

표준코드
Real number (ℝ)

Distinct	2517
Distinct (%)	25.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5761678 × 10⁹

Minimum	2.6710101 × 10⁹
Maximum	5.01301 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 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	4.0659163 × 10⁸
Coefficient of variation (CV)	0.088849807
Kurtosis	9.5710464
Mean	4.5761678 × 10⁹
Median Absolute Deviation (MAD)	1.0200004 × 10⁸
Skewness	-3.1102011
Sum	4.5761678 × 10¹³
Variance	1.6531675 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4889010186	4	< 0.1%
4874010192	4	< 0.1%
4377010042	4	< 0.1%
4272010015	4	< 0.1%
4514010045	4	< 0.1%
4688010031	4	< 0.1%
4678010070	4	< 0.1%
4792010067	4	< 0.1%
4579010099	4	< 0.1%
4783010052	4	< 0.1%
Other values (2507)	9960	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%
2723010022	2	< 0.1%
2726010001	4	< 0.1%
2726010006	4	< 0.1%
2726010008	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	1968
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	2
Mean length	2.2281
Min length	1

Characters and Unicode

Total characters	22281
Distinct characters	369
Distinct categories	6 ?
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	상부1
2nd row	미동
3rd row	효정
4th row	천곡
5th row	한개

Value	Count	Frequency (%)
대곡	39	0.4%
학동	36	0.4%
연화	36	0.4%
방축	32	0.3%
신기	32	0.3%
연동	28	0.3%
백운	28	0.3%
신흥	27	0.3%
대동	24	0.2%
구룡	24	0.2%
Other values (1957)	9693	96.9%

Most occurring characters

Value	Count	Frequency (%)
곡	869	3.9%
동	766	3.4%
산	717	3.2%
신	515	2.3%
대	434	1.9%
정	410	1.8%
지	381	1.7%
천	336	1.5%
평	319	1.4%
용	313	1.4%
Other values (359)	17221	77.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	21345	95.8%
Decimal Number	619	2.8%
Close Punctuation	156	0.7%
Open Punctuation	156	0.7%
Dash Punctuation	4	< 0.1%
Space Separator	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
곡	869	4.1%
동	766	3.6%
산	717	3.4%
신	515	2.4%
대	434	2.0%
정	410	1.9%
지	381	1.8%
천	336	1.6%
평	319	1.5%
용	313	1.5%
Other values (349)	16285	76.3%

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%

Close Punctuation

Value	Count	Frequency (%)
)	156	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	156	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	21345	95.8%
Common	936	4.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
곡	869	4.1%
동	766	3.6%
산	717	3.4%
신	515	2.4%
대	434	2.0%
정	410	1.9%
지	381	1.8%
천	336	1.6%
평	319	1.5%
용	313	1.5%
Other values (349)	16285	76.3%

Common

Value	Count	Frequency (%)
1	292	31.2%
2	271	29.0%
)	156	16.7%
(	156	16.7%
3	36	3.8%
4	12	1.3%
5	4	0.4%
-	4	0.4%
6	4	0.4%
	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	21345	95.8%
ASCII	936	4.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
곡	869	4.1%
동	766	3.6%
산	717	3.4%
신	515	2.4%
대	434	2.0%
정	410	1.9%
지	381	1.8%
천	336	1.6%
평	319	1.5%
용	313	1.5%
Other values (349)	16285	76.3%

ASCII

Value	Count	Frequency (%)
1	292	31.2%
2	271	29.0%
)	156	16.7%
(	156	16.7%
3	36	3.8%
4	12	1.3%
5	4	0.4%
-	4	0.4%
6	4	0.4%
	1	0.1%

조사구분
Categorical

CONSTANT

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

공사조사	10000

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	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공사조사	10000	100.0%

주소
Text

Distinct	1783
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	22
Median length	16
Mean length	15.8595
Min length	11

Characters and Unicode

Total characters	158595
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	1 ?
Unique (%)	< 0.1%

Sample

1st row	경상남도 합천군 적중면 상부리
2nd row	전라북도 고창군 성송면 하고리
3rd row	경상북도 영천시 화산면 효정리
4th row	경상남도 의령군 대의면 천곡리
5th row	경상남도 사천시 서포면 조도리

Value	Count	Frequency (%)
전라남도	3273	8.2%
경상북도	1968	5.0%
경상남도	1767	4.4%
전라북도	1242	3.1%
나주시	632	1.6%
영암군	516	1.3%
충청남도	479	1.2%
충청북도	431	1.1%
영천시	322	0.8%
합천군	288	0.7%
Other values (2187)	28822	72.5%

Most occurring characters

Value	Count	Frequency (%)
	29744	18.8%
도	10066	6.3%
리	9480	6.0%
면	8109	5.1%
남	6886	4.3%
군	6461	4.1%
전	4903	3.1%
라	4559	2.9%
북	4342	2.7%
경	4303	2.7%
Other values (300)	69742	44.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	128847	81.2%
Space Separator	29744	18.8%
Decimal Number	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	10066	7.8%
리	9480	7.4%
면	8109	6.3%
남	6886	5.3%
군	6461	5.0%
전	4903	3.8%
라	4559	3.5%
북	4342	3.4%
경	4303	3.3%
시	4259	3.3%
Other values (298)	65479	50.8%

Space Separator

Value	Count	Frequency (%)
	29744	100.0%

Decimal Number

Value	Count	Frequency (%)
1	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	128847	81.2%
Common	29748	18.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	10066	7.8%
리	9480	7.4%
면	8109	6.3%
남	6886	5.3%
군	6461	5.0%
전	4903	3.8%
라	4559	3.5%
북	4342	3.4%
경	4303	3.3%
시	4259	3.3%
Other values (298)	65479	50.8%

Common

Value	Count	Frequency (%)
	29744	> 99.9%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	128847	81.2%
ASCII	29748	18.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	29744	> 99.9%
1	4	< 0.1%

Hangul

Value	Count	Frequency (%)
도	10066	7.8%
리	9480	7.4%
면	8109	6.3%
남	6886	5.3%
군	6461	5.0%
전	4903	3.8%
라	4559	3.5%
북	4342	3.4%
경	4303	3.3%
시	4259	3.3%
Other values (298)	65479	50.8%

시설구분
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

저수지	9992
담수호	8

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	9992	99.9%
담수호	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
저수지	9992	99.9%
담수호	8	0.1%

관리구분
Categorical

CONSTANT

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

공사	10000

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	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공사	10000	100.0%

관리기관
Text

Distinct	94
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	4
Mean length	4.8068
Min length	4

Characters and Unicode

Total characters	48068
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	합천지사
2nd row	고창지사
3rd row	영천지사
4th row	의령지사
5th row	사천지사

Value	Count	Frequency (%)
나주지사	624	6.2%
영암지사	516	5.2%
영천지사	322	3.2%
무안신안지사	291	2.9%
합천지사	288	2.9%
울산지사	287	2.9%
해남완도지사	283	2.8%
전주완주임실지사	268	2.7%
남원지사	263	2.6%
사천지사	243	2.4%
Other values (84)	6615	66.1%

Most occurring characters

Value	Count	Frequency (%)
사	10227	21.3%
지	9980	20.8%
주	2071	4.3%
천	1624	3.4%
영	1585	3.3%
산	1129	2.3%
양	1034	2.2%
성	934	1.9%
안	891	1.9%
남	753	1.6%
Other values (90)	17840	37.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	48068	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
사	10227	21.3%
지	9980	20.8%
주	2071	4.3%
천	1624	3.4%
영	1585	3.3%
산	1129	2.3%
양	1034	2.2%
성	934	1.9%
안	891	1.9%
남	753	1.6%
Other values (90)	17840	37.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	48068	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
사	10227	21.3%
지	9980	20.8%
주	2071	4.3%
천	1624	3.4%
영	1585	3.3%
산	1129	2.3%
양	1034	2.2%
성	934	1.9%
안	891	1.9%
남	753	1.6%
Other values (90)	17840	37.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	48068	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
사	10227	21.3%
지	9980	20.8%
주	2071	4.3%
천	1624	3.4%
영	1585	3.3%
산	1129	2.3%
양	1034	2.2%
성	934	1.9%
안	891	1.9%
남	753	1.6%
Other values (90)	17840	37.1%

조사일자
Date

Distinct	133
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Minimum	2018-02-27 00:00:00
Maximum	2018-12-13 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

pH
Real number (ℝ)

Distinct	60
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.709269

Minimum	3.1
Maximum	11.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3.1
5-th percentile	6.8
Q1	7.2
median	7.6
Q3	8
95-th percentile	9.2
Maximum	11.1
Range	8
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	0.71607411
Coefficient of variation (CV)	0.092884826
Kurtosis	1.0381414
Mean	7.709269
Median Absolute Deviation (MAD)	0.4
Skewness	0.93607284
Sum	77092.69
Variance	0.51276213
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.4	740	7.4%
7.3	732	7.3%
7.5	716	7.2%
7.2	667	6.7%
7.6	629	6.3%
7.7	605	6.0%
7.8	541	5.4%
7.1	513	5.1%
7.9	476	4.8%
7.0	460	4.6%
Other values (50)	3921	39.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.1	1	< 0.1%
5.9	2	< 0.1%
6.0	3	< 0.1%
6.1	5	0.1%
6.2	4	< 0.1%
6.3	12	0.1%
6.4	30	0.3%
6.5	68	0.7%
6.6	112	1.1%
6.7	186	1.9%

Value	Count	Frequency (%)
11.1	1	< 0.1%
10.9	1	< 0.1%
10.7	2	< 0.1%
10.6	4	< 0.1%
10.5	1	< 0.1%
10.4	4	< 0.1%
10.3	4	< 0.1%
10.2	10	0.1%
10.1	13	0.1%
10.0	20	0.2%

COD
Real number (ℝ)

HIGH CORRELATION

Distinct	203
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.46885

Minimum	0.6
Maximum	96.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.6
5-th percentile	2.8
Q1	4.6
median	6.8
Q3	9
95-th percentile	15.2
Maximum	96.1
Range	95.5
Interquartile range (IQR)	4.4

Descriptive statistics

Standard deviation	4.4124542
Coefficient of variation (CV)	0.59078093
Kurtosis	57.056204
Mean	7.46885
Median Absolute Deviation (MAD)	2.2
Skewness	4.4974362
Sum	74688.5
Variance	19.469752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.6	275	2.8%
5.6	274	2.7%
4.2	274	2.7%
6.6	268	2.7%
4.0	263	2.6%
5.0	257	2.6%
8.0	253	2.5%
5.2	251	2.5%
7.6	248	2.5%
4.8	245	2.5%
Other values (193)	7392	73.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.6	1	< 0.1%
1.0	5	0.1%
1.2	12	0.1%
1.4	17	0.2%
1.6	31	0.3%
1.7	1	< 0.1%
1.8	34	0.3%
1.9	1	< 0.1%
2.0	59	0.6%
2.1	1	< 0.1%

Value	Count	Frequency (%)
96.1	1	< 0.1%
86.1	1	< 0.1%
82.2	1	< 0.1%
82.1	1	< 0.1%
80.1	1	< 0.1%
58.1	1	< 0.1%
47.2	1	< 0.1%
43.2	1	< 0.1%
41.7	1	< 0.1%
40.9	2	< 0.1%

TOC
Real number (ℝ)

HIGH CORRELATION

Distinct	161
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.62453

Minimum	0.5
Maximum	38.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.5
5-th percentile	1.6
Q1	2.9
median	4.3
Q3	5.9
95-th percentile	8.8
Maximum	38.6
Range	38.1
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.3979262
Coefficient of variation (CV)	0.51852323
Kurtosis	18.232293
Mean	4.62453
Median Absolute Deviation (MAD)	1.5
Skewness	2.2472493
Sum	46245.3
Variance	5.7500503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.0	212	2.1%
3.7	204	2.0%
4.0	198	2.0%
3.9	194	1.9%
4.3	193	1.9%
3.5	193	1.9%
4.1	191	1.9%
3.8	188	1.9%
2.3	186	1.9%
2.8	185	1.8%
Other values (151)	8056	80.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5	3	< 0.1%
0.6	4	< 0.1%
0.7	15	0.1%
0.8	16	0.2%
0.9	28	0.3%
1.0	31	0.3%
1.1	40	0.4%
1.2	47	0.5%
1.3	63	0.6%
1.4	72	0.7%

Value	Count	Frequency (%)
38.6	1	< 0.1%
36.6	1	< 0.1%
35.8	1	< 0.1%
33.6	1	< 0.1%
32.7	1	< 0.1%
32.6	1	< 0.1%
25.9	1	< 0.1%
22.3	1	< 0.1%
21.6	1	< 0.1%
21.5	1	< 0.1%

T-N
Real number (ℝ)

Distinct	3235
Distinct (%)	32.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.5057781

Minimum	0.019
Maximum	48.192
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.019
5-th percentile	0.326
Q1	0.657
median	1.087
Q3	1.769
95-th percentile	3.8542
Maximum	48.192
Range	48.173
Interquartile range (IQR)	1.112

Descriptive statistics

Standard deviation	1.8416862
Coefficient of variation (CV)	1.2230794
Kurtosis	169.10539
Mean	1.5057781
Median Absolute Deviation (MAD)	0.509
Skewness	9.5731196
Sum	15056.275
Variance	3.3918079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.708	16	0.2%
0.89	15	0.1%
0.893	14	0.1%
0.56	14	0.1%
0.347	13	0.1%
0.611	13	0.1%
0.769	12	0.1%
0.939	12	0.1%
0.482	12	0.1%
0.546	12	0.1%
Other values (3225)	9866	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.019	1	< 0.1%
0.02	1	< 0.1%
0.044	1	< 0.1%
0.067	1	< 0.1%
0.072	1	< 0.1%
0.073	1	< 0.1%
0.095	1	< 0.1%
0.103	1	< 0.1%
0.104	1	< 0.1%
0.105	1	< 0.1%

Value	Count	Frequency (%)
48.192	1	< 0.1%
44.873	1	< 0.1%
44.129	1	< 0.1%
43.904	1	< 0.1%
36.112	1	< 0.1%
30.689	1	< 0.1%
23.431	1	< 0.1%
22.481	1	< 0.1%
21.426	1	< 0.1%
21.085	1	< 0.1%

T-P
Real number (ℝ)

HIGH CORRELATION

Distinct	480
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0599825

Minimum	0.001
Maximum	4.972
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.009
Q1	0.017
median	0.029
Q3	0.054
95-th percentile	0.20605
Maximum	4.972
Range	4.971
Interquartile range (IQR)	0.037

Descriptive statistics

Standard deviation	0.13572262
Coefficient of variation (CV)	2.2627036
Kurtosis	377.55285
Mean	0.0599825
Median Absolute Deviation (MAD)	0.014
Skewness	15.134082
Sum	599.825
Variance	0.018420629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.016	287	2.9%
0.017	270	2.7%
0.015	266	2.7%
0.013	262	2.6%
0.018	257	2.6%
0.014	249	2.5%
0.019	246	2.5%
0.012	246	2.5%
0.021	240	2.4%
0.023	227	2.3%
Other values (470)	7450	74.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001	2	< 0.1%
0.002	8	0.1%
0.003	11	0.1%
0.004	25	0.2%
0.005	48	0.5%
0.006	78	0.8%
0.007	103	1.0%
0.008	122	1.2%
0.009	166	1.7%
0.01	192	1.9%

Value	Count	Frequency (%)
4.972	1	< 0.1%
3.907	1	< 0.1%
3.788	1	< 0.1%
3.046	1	< 0.1%
2.971	1	< 0.1%
2.301	1	< 0.1%
2.276	1	< 0.1%
2.222	1	< 0.1%
1.878	1	< 0.1%
1.523	1	< 0.1%

SS
Real number (ℝ)

HIGH CORRELATION

Distinct	482
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.3501

Minimum	0
Maximum	660.7
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1.1
Q1	2.7
median	4.8
Q3	9.1
95-th percentile	24.805
Maximum	660.7
Range	660.7
Interquartile range (IQR)	6.4

Descriptive statistics

Standard deviation	15.961989
Coefficient of variation (CV)	1.9115926
Kurtosis	482.89717
Mean	8.3501
Median Absolute Deviation (MAD)	2.7
Skewness	16.63179
Sum	83501
Variance	254.7851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.0	190	1.9%
3.0	183	1.8%
4.0	165	1.7%
2.3	164	1.6%
2.8	161	1.6%
3.2	153	1.5%
1.8	152	1.5%
2.4	151	1.5%
3.3	145	1.5%
1.6	140	1.4%
Other values (472)	8396	84.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	< 0.1%
0.1	17	0.2%
0.2	30	0.3%
0.3	27	0.3%
0.4	36	0.4%
0.5	37	0.4%
0.6	33	0.3%
0.7	74	0.7%
0.8	82	0.8%
0.9	74	0.7%

Value	Count	Frequency (%)
660.7	1	< 0.1%
508.4	1	< 0.1%
390.5	1	< 0.1%
371.0	1	< 0.1%
312.0	1	< 0.1%
300.0	1	< 0.1%
272.0	1	< 0.1%
205.4	1	< 0.1%
205.3	1	< 0.1%
187.0	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	표준코드	시설구분	관리기관	pH	COD	TOC	T-N	T-P	SS
표준코드	1.000	0.007	0.994	0.128	0.076	0.113	0.000	0.013	0.044
시설구분	0.007	1.000	0.170	0.032	0.065	0.000	0.000	0.000	0.000
관리기관	0.994	0.170	1.000	0.445	0.318	0.446	0.152	0.000	0.000
pH	0.128	0.032	0.445	1.000	0.368	0.205	0.157	0.035	0.043
COD	0.076	0.065	0.318	0.368	1.000	0.841	0.268	0.274	0.540
TOC	0.113	0.000	0.446	0.205	0.841	1.000	0.379	0.356	0.351
T-N	0.000	0.000	0.152	0.157	0.268	0.379	1.000	0.424	0.218
T-P	0.013	0.000	0.000	0.035	0.274	0.356	0.424	1.000	0.457
SS	0.044	0.000	0.000	0.043	0.540	0.351	0.218	0.457	1.000

Heatmap
Table

	표준코드	pH	COD	TOC	T-N	T-P	SS	시설구분
표준코드	1.000	0.141	-0.005	0.042	-0.031	-0.034	-0.081	0.008
pH	0.141	1.000	0.059	0.086	0.147	-0.045	0.006	0.040
COD	-0.005	0.059	1.000	0.949	0.015	0.605	0.588	0.049
TOC	0.042	0.086	0.949	1.000	0.037	0.577	0.503	0.000
T-N	-0.031	0.147	0.015	0.037	1.000	0.267	0.119	0.000
T-P	-0.034	-0.045	0.605	0.577	0.267	1.000	0.572	0.000
SS	-0.081	0.006	0.588	0.503	0.119	0.572	1.000	0.000
시설구분	0.008	0.040	0.049	0.000	0.000	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

	표준코드	시설명	조사구분	주소	시설구분	관리구분	관리기관	조사일자	pH	COD	TOC	T-N	T-P	SS
9888	4889010186	상부1	공사조사	경상남도 합천군 적중면 상부리	저수지	공사	합천지사	2018-09-17	7.7	6.2	4.3	2.284	0.082	2.1
2880	4579010230	미동	공사조사	전라북도 고창군 성송면 하고리	저수지	공사	고창지사	2018-11-21	7.4	8.4	4.7	1.127	0.043	9.0
6876	4723010300	효정	공사조사	경상북도 영천시 화산면 효정리	저수지	공사	영천지사	2018-11-29	7.4	8.6	6.7	0.801	0.023	3.6
8825	4872010051	천곡	공사조사	경상남도 의령군 대의면 천곡리	저수지	공사	의령지사	2018-05-23	7.8	4.8	3.4	0.83	0.013	1.6
8597	4824010156	한개	공사조사	경상남도 사천시 서포면 조도리	저수지	공사	사천지사	2018-06-18	7.3	7.2	5.0	1.492	0.034	6.8
4092	4672010219	매월	공사조사	전라남도 곡성군 입면 매월리	저수지	공사	곡성지사	2018-11-13	7.3	4.8	2.8	0.651	0.008	1.5
1089	4374010038	오리곡	공사조사	충청북도 영동군 매곡면 공수리	저수지	공사	옥천영동지사	2018-06-21	7.8	8.6	5.8	1.43	0.11	2.0
9960	4889010340	큰골	공사조사	경상남도 합천군 율곡면 영전리	저수지	공사	합천지사	2018-09-18	7.9	4.2	2.3	1.32	0.01	0.9
6766	4721010125	성곡	공사조사	경상북도 봉화군 재산면 동면리	저수지	공사	영주봉화지사	2018-06-20	8.6	5.8	4.4	3.706	0.017	1.5
8501	4824010131	지진개	공사조사	경상남도 사천시 서포면 구랑리	저수지	공사	사천지사	2018-06-18	7.5	10.0	5.9	0.47	0.057	3.6

	표준코드	시설명	조사구분	주소	시설구분	관리구분	관리기관	조사일자	pH	COD	TOC	T-N	T-P	SS
8821	4872010050	심지상	공사조사	경상남도 의령군 대의면 심지리	저수지	공사	의령지사	2018-05-23	7.8	5.0	3.3	0.252	0.013	3.2
7131	4725010209	앞실	공사조사	경상북도 상주시 은척면 남곡리	저수지	공사	상주지사	2018-11-21	7.4	1.4	0.8	1.129	0.006	0.2
947	4371010140	부연	공사조사	충청북도 청주시 청원구 북이면 부연리	저수지	공사	청주지사	2018-10-30	7.0	6.6	4.8	1.867	0.038	17.0
3163	4617010032	오봉	공사조사	전라남도 나주시 세지면 오봉리	저수지	공사	나주지사	2018-11-19	7.2	6.0	3.9	0.386	0.02	6.4
3770	4671010007	고가	공사조사	전라남도 담양군 담양읍 가산리	저수지	공사	담양지사	2018-08-30	7.6	4.6	2.4	0.998	0.031	4.3
2	2671010085	송정	공사조사	부산광역시 기장군 철마면 송정리	저수지	공사	울산지사	2018-09-27	7.3	5.2	3.5	1.1	0.02	4.4
9770	4889010116	원당3	공사조사	경상남도 합천군 초계면 원당리	저수지	공사	합천지사	2018-03-28	7.7	4.0	2.3	2.837	0.027	3.5
2879	4579010230	미동	공사조사	전라북도 고창군 성송면 하고리	저수지	공사	고창지사	2018-08-09	8.6	10.4	7.0	0.539	0.05	10.3
7593	4775010179	대원상	공사조사	경상북도 청송군 진보면 신촌리	저수지	공사	청송영양지사	2018-06-20	8.4	5.8	4.3	0.973	0.015	3.7
8180	4790010106	마전1	공사조사	경상북도 예천군 지보면 만화리	저수지	공사	예천지사	2018-10-24	7.0	13.2	8.5	2.301	0.042	13.3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Close Punctuation

Open Punctuation

Dash Punctuation

Space Separator

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