gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	6600
Missing cells	34562
Missing cells (%)	27.6%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	1.0 MiB
Average record size in memory	165.0 B

Variable types

Categorical	5
Text	3
Numeric	11

Dataset

Description	기관명,호선명,역명,역구분,조사명,조사년도,총발생량(톤),일평균발생량(톤/일),일평균이용현황(톤/일)_하천방류,일평균이용현황(톤/일)_도로청소,일평균이용현황(톤/일)_공원용수,일평균이용현황(톤/일)_수경시설,일평균이용현황(톤/일)_지하수공급,일평균이용현황(톤/일)_열원,일평균이용현황(톤/일)_화장실세척,일평균이용현황(톤/일)_건물용수,미사용_하수도방류(톤/일),방류하천명,일평균이용현황(톤/일)_기타건물용수
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-15610/S/1/datasetView.do

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`일평균이용현황(톤/일)_지하수공급` is highly overall correlated with `조사년도` and 11 other fields	High correlation
`일평균이용현황(톤/일)_열원` is highly overall correlated with `조사년도` and 8 other fields	High correlation
`조사명` is highly overall correlated with `조사년도` and 2 other fields	High correlation
`호선명` is highly overall correlated with `기관명` and 2 other fields	High correlation
`기관명` is highly overall correlated with `호선명` and 2 other fields	High correlation
`조사년도` is highly overall correlated with `일평균이용현황(톤/일)_하천방류` and 3 other fields	High correlation
`총발생량(톤)` is highly overall correlated with `일평균발생량(톤/일)` and 2 other fields	High correlation
`일평균발생량(톤/일)` is highly overall correlated with `총발생량(톤)` and 2 other fields	High correlation
`일평균이용현황(톤/일)_하천방류` is highly overall correlated with `조사년도` and 5 other fields	High correlation
`일평균이용현황(톤/일)_도로청소` is highly overall correlated with `일평균이용현황(톤/일)_열원`	High correlation
`일평균이용현황(톤/일)_공원용수` is highly overall correlated with `일평균이용현황(톤/일)_기타건물용수` and 2 other fields	High correlation
`일평균이용현황(톤/일)_수경시설` is highly overall correlated with `일평균이용현황(톤/일)_화장실세척` and 2 other fields	High correlation
`일평균이용현황(톤/일)_화장실세척` is highly overall correlated with `일평균이용현황(톤/일)_수경시설` and 2 other fields	High correlation
`일평균이용현황(톤/일)_건물용수` is highly overall correlated with `조사명`	High correlation
`미사용_하수도방류(톤/일)` is highly overall correlated with `일평균이용현황(톤/일)_하천방류`	High correlation
`일평균이용현황(톤/일)_기타건물용수` is highly overall correlated with `일평균이용현황(톤/일)_공원용수` and 1 other fields	High correlation
`일평균이용현황(톤/일)_지하수공급` is highly imbalanced (86.4%)	Imbalance
`일평균이용현황(톤/일)_열원` is highly imbalanced (83.0%)	Imbalance
`역구분` has 1599 (24.2%) missing values	Missing
`총발생량(톤)` has 358 (5.4%) missing values	Missing
`일평균이용현황(톤/일)_하천방류` has 3505 (53.1%) missing values	Missing
`일평균이용현황(톤/일)_도로청소` has 4135 (62.7%) missing values	Missing
`일평균이용현황(톤/일)_공원용수` has 3403 (51.6%) missing values	Missing
`일평균이용현황(톤/일)_수경시설` has 4491 (68.0%) missing values	Missing
`일평균이용현황(톤/일)_화장실세척` has 5089 (77.1%) missing values	Missing
`일평균이용현황(톤/일)_건물용수` has 3755 (56.9%) missing values	Missing
`방류하천명` has 5098 (77.2%) missing values	Missing
`일평균이용현황(톤/일)_기타건물용수` has 3068 (46.5%) missing values	Missing
`일평균이용현황(톤/일)_공원용수` is highly skewed (γ1 = 55.56558109)	Skewed
`일평균이용현황(톤/일)_수경시설` is highly skewed (γ1 = 31.62909553)	Skewed
`일평균이용현황(톤/일)_건물용수` is highly skewed (γ1 = 22.1617852)	Skewed
`일평균이용현황(톤/일)_기타건물용수` is highly skewed (γ1 = 21.18666934)	Skewed
`총발생량(톤)` has 973 (14.7%) zeros	Zeros
`일평균발생량(톤/일)` has 1110 (16.8%) zeros	Zeros
`일평균이용현황(톤/일)_하천방류` has 1644 (24.9%) zeros	Zeros
`일평균이용현황(톤/일)_도로청소` has 2349 (35.6%) zeros	Zeros
`일평균이용현황(톤/일)_공원용수` has 3125 (47.3%) zeros	Zeros
`일평균이용현황(톤/일)_수경시설` has 1931 (29.3%) zeros	Zeros
`일평균이용현황(톤/일)_화장실세척` has 1377 (20.9%) zeros	Zeros
`일평균이용현황(톤/일)_건물용수` has 2715 (41.1%) zeros	Zeros
`미사용_하수도방류(톤/일)` has 2484 (37.6%) zeros	Zeros
`일평균이용현황(톤/일)_기타건물용수` has 3401 (51.5%) zeros	Zeros

Reproduction

Analysis started	2024-03-13 17:26:14.736838
Analysis finished	2024-03-13 17:26:26.589184
Duration	11.85 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기관명
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	51.7 KiB

서울도시철도공사	2297
서울메트로	2174
서울교통공사	906
서울9호선운영㈜	541
한국철도공사	308
Other values (8)	374

Length

Max length	10
Median length	9
Mean length	6.6101515
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	서울도시철도공사
2nd row	서울도시철도공사
3rd row	서울메트로
4th row	서울메트로
5th row	서울메트로

Common Values

Value	Count	Frequency (%)
서울도시철도공사	2297	34.8%
서울메트로	2174	32.9%
서울교통공사	906	13.7%
서울9호선운영㈜	541	8.2%
한국철도공사	308	4.7%
우이신설도시철도㈜	128	1.9%
코레일공항철도㈜	113	1.7%
네오트랜드㈜	55	0.8%
남서울경전철	22	0.3%
기타	20	0.3%
Other values (3)	36	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
서울도시철도공사	2297	34.8%
서울메트로	2174	32.9%
서울교통공사	906	13.7%
서울9호선운영㈜	541	8.2%
한국철도공사	308	4.7%
우이신설도시철도㈜	128	1.9%
코레일공항철도㈜	113	1.7%
네오트랜드㈜	55	0.8%
남서울경전철	22	0.3%
기타	20	0.3%
Other values (3)	36	0.5%

호선명
Categorical

HIGH CORRELATION

Distinct	21
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	51.7 KiB

5호선	1055
2호선	1013
3호선	786
6호선	694
7호선	669
Other values (16)	2383

Length

Max length	7
Median length	3
Mean length	3.1572727
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
5호선	1055	16.0%
2호선	1013	15.3%
3호선	786	11.9%
6호선	694	10.5%
7호선	669	10.1%
9호선	514	7.8%
4호선	466	7.1%
1호선	347	5.3%
분당선	308	4.7%
8호선	251	3.8%
Other values (11)	497	7.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5호선	1055	15.9%
2호선	1013	15.3%
3호선	786	11.9%
6호선	737	11.1%
7호선	709	10.7%
9호선	541	8.2%
4호선	466	7.0%
1호선	347	5.2%
분당선	308	4.6%
8호선	264	4.0%
Other values (8)	401	6.1%

역명
Text

Distinct	603
Distinct (%)	9.1%
Missing	6
Missing (%)	0.1%
Memory size	51.7 KiB

Length

Max length	20
Median length	18
Mean length	3.977252
Min length	2

Characters and Unicode

Total characters	26226
Distinct characters	265
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	235 ?
Unique (%)	3.6%

Sample

1st row	개화산
2nd row	방화
3rd row	남태령
4th row	남태령
5th row	사당

Value	Count	Frequency (%)
가락시장	89	1.3%
신설동	85	1.3%
사당	69	1.0%
동묘앞	69	1.0%
청량리	68	1.0%
신도림	67	1.0%
종로3가	54	0.8%
시청	53	0.8%
고속터미널	53	0.8%
용두	52	0.8%
Other values (441)	5935	90.0%

Most occurring characters

Value	Count	Frequency (%)
역	794	3.0%
)	729	2.8%
(	728	2.8%
구	656	2.5%
신	656	2.5%
선	601	2.3%
동	559	2.1%
대	539	2.1%
본	515	2.0%
K	444	1.7%
Other values (255)	20005	76.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	20999	80.1%
Decimal Number	2589	9.9%
Close Punctuation	729	2.8%
Open Punctuation	728	2.8%
Uppercase Letter	706	2.7%
Space Separator	312	1.2%
Other Punctuation	141	0.5%
Dash Punctuation	15	0.1%
Other Symbol	4	< 0.1%
Math Symbol	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	794	3.8%
구	656	3.1%
신	656	3.1%
선	601	2.9%
동	559	2.7%
대	539	2.6%
본	515	2.5%
산	381	1.8%
장	345	1.6%
청	338	1.6%
Other values (228)	15615	74.4%

Decimal Number

Value	Count	Frequency (%)
0	443	17.1%
3	429	16.6%
2	334	12.9%
4	322	12.4%
1	277	10.7%
5	241	9.3%
6	205	7.9%
8	138	5.3%
9	102	3.9%
7	98	3.8%

Uppercase Letter

Value	Count	Frequency (%)
K	444	62.9%
I	84	11.9%
T	84	11.9%
P	84	11.9%
S	4	0.6%
G	4	0.6%
A	1	0.1%
B	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
#	129	91.5%
.	11	7.8%
'	1	0.7%

Close Punctuation

Value	Count	Frequency (%)
)	729	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	728	100.0%

Space Separator

Value	Count	Frequency (%)
	312	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	4	100.0%

Math Symbol

Value	Count	Frequency (%)
~	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	21003	80.1%
Common	4517	17.2%
Latin	706	2.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	794	3.8%
구	656	3.1%
신	656	3.1%
선	601	2.9%
동	559	2.7%
대	539	2.6%
본	515	2.5%
산	381	1.8%
장	345	1.6%
청	338	1.6%
Other values (229)	15619	74.4%

Common

Value	Count	Frequency (%)
)	729	16.1%
(	728	16.1%
0	443	9.8%
3	429	9.5%
2	334	7.4%
4	322	7.1%
	312	6.9%
1	277	6.1%
5	241	5.3%
6	205	4.5%
Other values (8)	497	11.0%

Latin

Value	Count	Frequency (%)
K	444	62.9%
I	84	11.9%
T	84	11.9%
P	84	11.9%
S	4	0.6%
G	4	0.6%
A	1	0.1%
B	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	20999	80.1%
ASCII	5223	19.9%
None	4	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
역	794	3.8%
구	656	3.1%
신	656	3.1%
선	601	2.9%
동	559	2.7%
대	539	2.6%
본	515	2.5%
산	381	1.8%
장	345	1.6%
청	338	1.6%
Other values (228)	15615	74.4%

ASCII

Value	Count	Frequency (%)
)	729	14.0%
(	728	13.9%
K	444	8.5%
0	443	8.5%
3	429	8.2%
2	334	6.4%
4	322	6.2%
	312	6.0%
1	277	5.3%
5	241	4.6%
Other values (16)	964	18.5%

None

Value	Count	Frequency (%)
㈜	4	100.0%

역구분
Text

MISSING

Distinct	116
Distinct (%)	2.3%
Missing	1599
Missing (%)	24.2%
Memory size	51.7 KiB

Length

Max length	14
Median length	2
Mean length	2.835033
Min length	1

Characters and Unicode

Total characters	14178
Distinct characters	82
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	24 ?
Unique (%)	0.5%

Sample

1st row	역사
2nd row	역사
3rd row	본선(사당측)
4th row	본선(역사측)
5th row	역사

Value	Count	Frequency (%)
역사	3333	66.0%
본선	716	14.2%
본선#2	51	1.0%
본선#1	51	1.0%
역사(종점	35	0.7%
역사(시점	34	0.7%
본선(시점	33	0.7%
역사(간이	33	0.7%
역사(승환	32	0.6%
본선(종점	32	0.6%
Other values (108)	697	13.8%

Most occurring characters

Value	Count	Frequency (%)
사	3636	25.6%
역	3619	25.5%
선	1140	8.0%
본	1106	7.8%
)	552	3.9%
(	552	3.9%
	360	2.5%
#	297	2.1%
1	246	1.7%
번	203	1.4%
Other values (72)	2467	17.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	11117	78.4%
Decimal Number	1125	7.9%
Close Punctuation	552	3.9%
Open Punctuation	552	3.9%
Space Separator	360	2.5%
Other Punctuation	297	2.1%
Uppercase Letter	126	0.9%
Dash Punctuation	46	0.3%
Lowercase Letter	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
사	3636	32.7%
역	3619	32.6%
선	1140	10.3%
본	1106	9.9%
번	203	1.8%
점	140	1.3%
측	117	1.1%
시	70	0.6%
종	70	0.6%
동	68	0.6%
Other values (53)	948	8.5%

Decimal Number

Value	Count	Frequency (%)
1	246	21.9%
2	187	16.6%
3	126	11.2%
0	123	10.9%
4	105	9.3%
6	83	7.4%
5	80	7.1%
8	65	5.8%
9	56	5.0%
7	54	4.8%

Uppercase Letter

Value	Count	Frequency (%)
K	92	73.0%
B	17	13.5%
A	17	13.5%

Close Punctuation

Value	Count	Frequency (%)
)	552	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	552	100.0%

Space Separator

Value	Count	Frequency (%)
	360	100.0%

Other Punctuation

Value	Count	Frequency (%)
#	297	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	46	100.0%

Lowercase Letter

Value	Count	Frequency (%)
u	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	11117	78.4%
Common	2932	20.7%
Latin	129	0.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
사	3636	32.7%
역	3619	32.6%
선	1140	10.3%
본	1106	9.9%
번	203	1.8%
점	140	1.3%
측	117	1.1%
시	70	0.6%
종	70	0.6%
동	68	0.6%
Other values (53)	948	8.5%

Common

Value	Count	Frequency (%)
)	552	18.8%
(	552	18.8%
	360	12.3%
#	297	10.1%
1	246	8.4%
2	187	6.4%
3	126	4.3%
0	123	4.2%
4	105	3.6%
6	83	2.8%
Other values (5)	301	10.3%

Latin

Value	Count	Frequency (%)
K	92	71.3%
B	17	13.2%
A	17	13.2%
u	3	2.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	11117	78.4%
ASCII	3061	21.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
사	3636	32.7%
역	3619	32.6%
선	1140	10.3%
본	1106	9.9%
번	203	1.8%
점	140	1.3%
측	117	1.1%
시	70	0.6%
종	70	0.6%
동	68	0.6%
Other values (53)	948	8.5%

ASCII

Value	Count	Frequency (%)
)	552	18.0%
(	552	18.0%
	360	11.8%
#	297	9.7%
1	246	8.0%
2	187	6.1%
3	126	4.1%
0	123	4.0%
4	105	3.4%
K	92	3.0%
Other values (9)	421	13.8%

조사명
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	51.7 KiB

2022년 하반기 : 2022.7월~12월	397
2022년 상반기 : 2022.1월~6월	394
2019년 하반기 : 2019.7월~12월	383
2021년 하반기 : 2021.7월~12월	383
2019년 상반기 : 2019.1월~6월	383
Other values (14)	4660

Length

Max length	23
Median length	22
Mean length	21.002121
Min length	9

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2022년 하반기 : 2022.7월~12월
2nd row	2022년 하반기 : 2022.7월~12월
3rd row	2022년 하반기 : 2022.7월~12월
4th row	2022년 하반기 : 2022.7월~12월
5th row	2022년 하반기 : 2022.7월~12월

Common Values

Value	Count	Frequency (%)
2022년 하반기 : 2022.7월~12월	397	6.0%
2022년 상반기 : 2022.1월~6월	394	6.0%
2019년 하반기 : 2019.7월~12월	383	5.8%
2021년 하반기 : 2021.7월~12월	383	5.8%
2019년 상반기 : 2019.1월~6월	383	5.8%
2021년 상반기 : 2021.1월~6월	382	5.8%
2018년 하반기 : 2018.7월~12월	382	5.8%
2020년 상반기 : 2020.1월~6월	381	5.8%
2018년 상반기 : 2018.1월~6월	373	5.7%
2017년 하반기	372	5.6%
Other values (9)	2770	42.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	5869	23.5%
상반기	3311	13.3%
하반기	3289	13.2%
2022년	791	3.2%
2019년	766	3.1%
2021년	766	3.1%
2018년	755	3.0%
2017년	731	2.9%
2014년	707	2.8%
2015년	704	2.8%
Other values (19)	7249	29.1%

조사년도
Real number (ℝ)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.0844

Minimum	2014
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	2014
5-th percentile	2014
Q1	2016
median	2018
Q3	2020
95-th percentile	2022
Maximum	2022
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.5871092
Coefficient of variation (CV)	0.0012819629
Kurtosis	-1.2216952
Mean	2018.0844
Median Absolute Deviation (MAD)	2
Skewness	-0.035904749
Sum	13319357
Variance	6.6931342
Monotonicity	Decreasing

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2022	791	12.0%
2021	766	11.6%
2019	766	11.6%
2018	755	11.4%
2017	731	11.1%
2014	707	10.7%
2015	704	10.7%
2020	690	10.5%
2016	690	10.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2014	707	10.7%
2015	704	10.7%
2016	690	10.5%
2017	731	11.1%
2018	755	11.4%
2019	766	11.6%
2020	690	10.5%
2021	766	11.6%
2022	791	12.0%

Value	Count	Frequency (%)
2022	791	12.0%
2021	766	11.6%
2020	690	10.5%
2019	766	11.6%
2018	755	11.4%
2017	731	11.1%
2016	690	10.5%
2015	704	10.7%
2014	707	10.7%

총발생량(톤)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	4207
Distinct (%)	67.4%
Missing	358
Missing (%)	5.4%
Infinite	0
Infinite (%)	0.0%
Mean	58853.691

Minimum	0
Maximum	1709079
Zeros	973
Zeros (%)	14.7%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	171.03
median	3109.6
Q3	39618.5
95-th percentile	308419.87
Maximum	1709079
Range	1709079
Interquartile range (IQR)	39447.47

Descriptive statistics

Standard deviation	153197.33
Coefficient of variation (CV)	2.6030199
Kurtosis	34.081525
Mean	58853.691
Median Absolute Deviation (MAD)	3109.6
Skewness	5.1093872
Sum	3.6736474 × 10⁸
Variance	2.3469422 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	973	14.7%
18.4	33	0.5%
184.0	31	0.5%
368.0	21	0.3%
18.1	15	0.2%
36.8	11	0.2%
4.0	10	0.2%
1214400.0	10	0.2%
276.0	10	0.2%
257.6	10	0.2%
Other values (4197)	5118	77.5%
(Missing)	358	5.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	973	14.7%
0.62	1	< 0.1%
1.0	5	0.1%
1.8	2	< 0.1%
1.81	1	< 0.1%
1.84	1	< 0.1%
2.0	6	0.1%
3.0	5	0.1%
3.6	2	< 0.1%
3.62	2	< 0.1%

Value	Count	Frequency (%)
1709079.0	1	< 0.1%
1699957.6	1	< 0.1%
1651584.0	1	< 0.1%
1642032.0	2	< 0.1%
1625548.0	1	< 0.1%
1519012.0	1	< 0.1%
1515244.64	1	< 0.1%
1452398.0	1	< 0.1%
1292214.0	1	< 0.1%
1288213.2	1	< 0.1%

일평균발생량(톤/일)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	3330
Distinct (%)	50.6%
Missing	14
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	322.53608

Minimum	0
Maximum	9288.47
Zeros	1110
Zeros (%)	16.8%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	16.9
Q3	217.87
95-th percentile	1678.15
Maximum	9288.47
Range	9288.47
Interquartile range (IQR)	216.87

Descriptive statistics

Standard deviation	841.05022
Coefficient of variation (CV)	2.607616
Kurtosis	34.574156
Mean	322.53608
Median Absolute Deviation (MAD)	16.9
Skewness	5.1439387
Sum	2124222.6
Variance	707365.47
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1110	16.8%
1.0	115	1.7%
0.1	73	1.1%
2.0	61	0.9%
0.2	29	0.4%
3.0	28	0.4%
0.3	27	0.4%
1.3	26	0.4%
0.6	26	0.4%
0.7	23	0.3%
Other values (3320)	5068	76.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1110	16.8%
0.01	7	0.1%
0.02	16	0.2%
0.03	13	0.2%
0.04	8	0.1%
0.05	3	< 0.1%
0.06	2	< 0.1%
0.07	7	0.1%
0.08	5	0.1%
0.09	3	< 0.1%

Value	Count	Frequency (%)
9288.47	1	< 0.1%
9238.9	1	< 0.1%
9072.0	2	< 0.1%
8976.0	2	< 0.1%
8834.5	1	< 0.1%
8325.52	1	< 0.1%
8255.5	1	< 0.1%
7980.21	1	< 0.1%
7117.2	1	< 0.1%
7102.0	1	< 0.1%

일평균이용현황(톤/일)_하천방류
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	1338
Distinct (%)	43.2%
Missing	3505
Missing (%)	53.1%
Infinite	0
Infinite (%)	0.0%
Mean	500.16624

Minimum	0
Maximum	9288.47
Zeros	1644
Zeros (%)	24.9%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	541.665
95-th percentile	2554.1
Maximum	9288.47
Range	9288.47
Interquartile range (IQR)	541.665

Descriptive statistics

Standard deviation	1081.8402
Coefficient of variation (CV)	2.1629613
Kurtosis	17.912073
Mean	500.16624
Median Absolute Deviation (MAD)	0
Skewness	3.7330186
Sum	1548014.5
Variance	1170378.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1644	24.9%
6600.0	15	0.2%
70.0	4	0.1%
468.0	4	0.1%
0.1	4	0.1%
5.0	4	0.1%
67.0	3	< 0.1%
0.5	3	< 0.1%
73.0	3	< 0.1%
1128.0	3	< 0.1%
Other values (1328)	1408	21.3%
(Missing)	3505	53.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1644	24.9%
0.02	2	< 0.1%
0.03	1	< 0.1%
0.09	1	< 0.1%
0.1	4	0.1%
0.13	1	< 0.1%
0.14	1	< 0.1%
0.2	1	< 0.1%
0.25	1	< 0.1%
0.3	1	< 0.1%

Value	Count	Frequency (%)
9288.47	1	< 0.1%
9072.0	2	< 0.1%
8976.0	1	< 0.1%
8820.0	1	< 0.1%
8467.0	1	< 0.1%
8225.5	1	< 0.1%
7980.21	1	< 0.1%
7955.9	1	< 0.1%
6954.0	1	< 0.1%
6714.0	1	< 0.1%

일평균이용현황(톤/일)_도로청소
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	83
Distinct (%)	3.4%
Missing	4135
Missing (%)	62.7%
Infinite	0
Infinite (%)	0.0%
Mean	1.5683124

Minimum	0
Maximum	354.29
Zeros	2349
Zeros (%)	35.6%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	354.29
Range	354.29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.452616
Coefficient of variation (CV)	7.9401378
Kurtosis	400.41349
Mean	1.5683124
Median Absolute Deviation (MAD)	0
Skewness	17.315489
Sum	3865.89
Variance	155.06765
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2349	35.6%
12.0	6	0.1%
11.0	5	0.1%
16.0	5	0.1%
6.0	4	0.1%
10.0	3	< 0.1%
41.0	3	< 0.1%
60.0	3	< 0.1%
20.0	3	< 0.1%
0.18	2	< 0.1%
Other values (73)	82	1.2%
(Missing)	4135	62.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2349	35.6%
0.18	2	< 0.1%
0.8	1	< 0.1%
1.0	1	< 0.1%
1.9	1	< 0.1%
2.0	2	< 0.1%
2.14	1	< 0.1%
2.2	2	< 0.1%
2.5	1	< 0.1%
2.53	1	< 0.1%

Value	Count	Frequency (%)
354.29	1	< 0.1%
284.6	1	< 0.1%
158.18	1	< 0.1%
156.0	1	< 0.1%
151.44	1	< 0.1%
96.0	1	< 0.1%
63.73	1	< 0.1%
63.0	1	< 0.1%
60.0	3	< 0.1%
59.78	1	< 0.1%

일평균이용현황(톤/일)_공원용수
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	65
Distinct (%)	2.0%
Missing	3403
Missing (%)	51.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.6658743

Minimum	0
Maximum	8976
Zeros	3125
Zeros (%)	47.3%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	8976
Range	8976
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	159.65507
Coefficient of variation (CV)	34.217611
Kurtosis	3122.4228
Mean	4.6658743
Median Absolute Deviation (MAD)	0
Skewness	55.565581
Sum	14916.8
Variance	25489.742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	3125	47.3%
11.0	2	< 0.1%
59.5	2	< 0.1%
2.0	2	< 0.1%
210.0	2	< 0.1%
265.0	2	< 0.1%
12.0	2	< 0.1%
21.0	2	< 0.1%
29.0	2	< 0.1%
93.4	1	< 0.1%
Other values (55)	55	0.8%
(Missing)	3403	51.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3125	47.3%
0.27	1	< 0.1%
0.83	1	< 0.1%
1.0	1	< 0.1%
2.0	2	< 0.1%
4.0	1	< 0.1%
7.0	1	< 0.1%
8.0	1	< 0.1%
10.0	1	< 0.1%
11.0	2	< 0.1%

Value	Count	Frequency (%)
8976.0	1	< 0.1%
377.29	1	< 0.1%
304.06	1	< 0.1%
265.0	2	< 0.1%
210.72	1	< 0.1%
210.0	2	< 0.1%
201.0	1	< 0.1%
181.26	1	< 0.1%
179.93	1	< 0.1%
163.81	1	< 0.1%

일평균이용현황(톤/일)_수경시설
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	131
Distinct (%)	6.2%
Missing	4491
Missing (%)	68.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.2773352

Minimum	0
Maximum	4968
Zeros	1931
Zeros (%)	29.3%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	10
Maximum	4968
Range	4968
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	126.99017
Coefficient of variation (CV)	17.450092
Kurtosis	1148.696
Mean	7.2773352
Median Absolute Deviation (MAD)	0
Skewness	31.629096
Sum	15347.9
Variance	16126.503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1931	29.3%
10.0	20	0.3%
5.0	11	0.2%
4.0	3	< 0.1%
12.0	3	< 0.1%
18.0	3	< 0.1%
9.9	3	< 0.1%
9.0	3	< 0.1%
15.9	3	< 0.1%
12.3	2	< 0.1%
Other values (121)	127	1.9%
(Missing)	4491	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1931	29.3%
0.1	1	< 0.1%
0.8	1	< 0.1%
1.93	1	< 0.1%
1.97	1	< 0.1%
2.0	1	< 0.1%
2.2	1	< 0.1%
2.6	1	< 0.1%
3.0	1	< 0.1%
3.2	1	< 0.1%

Value	Count	Frequency (%)
4968.0	1	< 0.1%
1929.6	1	< 0.1%
1617.0	1	< 0.1%
1340.0	1	< 0.1%
792.0	1	< 0.1%
513.18	1	< 0.1%
373.0	1	< 0.1%
227.95	1	< 0.1%
218.3	1	< 0.1%
209.3	1	< 0.1%

일평균이용현황(톤/일)_지하수공급
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.7 KiB

<NA>	6296
0.0	302
46.8	1
93.48	1

Length

Max length	5
Median length	4
Mean length	3.9543939
Min length	3

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	6296	95.4%
0.0	302	4.6%
46.8	1	< 0.1%
93.48	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	6296	95.4%
0.0	302	4.6%
46.8	1	< 0.1%
93.48	1	< 0.1%

일평균이용현황(톤/일)_열원
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.7 KiB

<NA>	6297
0	302
1250	1

Length

Max length	4
Median length	4
Mean length	3.8627273
Min length	1

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	6297	95.4%
0	302	4.6%
1250	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	6297	95.4%
0	302	4.6%
1250	1	< 0.1%

일평균이용현황(톤/일)_화장실세척
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	117
Distinct (%)	7.7%
Missing	5089
Missing (%)	77.1%
Infinite	0
Infinite (%)	0.0%
Mean	65.311244

Minimum	0
Maximum	5664
Zeros	1377
Zeros (%)	20.9%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	119.305
Maximum	5664
Range	5664
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	431.13064
Coefficient of variation (CV)	6.6011702
Kurtosis	94.290516
Mean	65.311244
Median Absolute Deviation (MAD)	0
Skewness	9.1676332
Sum	98685.29
Variance	185873.63
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1377	20.9%
10.0	4	0.1%
3360.0	3	< 0.1%
390.3	3	< 0.1%
1392.0	3	< 0.1%
4968.0	3	< 0.1%
1929.6	3	< 0.1%
240.0	2	< 0.1%
5.0	2	< 0.1%
792.0	2	< 0.1%
Other values (107)	109	1.7%
(Missing)	5089	77.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1377	20.9%
0.07	1	< 0.1%
0.58	1	< 0.1%
0.7	1	< 0.1%
0.9	1	< 0.1%
3.6	1	< 0.1%
3.9	1	< 0.1%
5.0	2	< 0.1%
5.4	1	< 0.1%
6.1	1	< 0.1%

Value	Count	Frequency (%)
5664.0	1	< 0.1%
5570.4	1	< 0.1%
5037.2	1	< 0.1%
4968.0	3	< 0.1%
3600.0	1	< 0.1%
3360.0	3	< 0.1%
3240.0	1	< 0.1%
2392.8	1	< 0.1%
2357.1	1	< 0.1%
2349.7	1	< 0.1%

일평균이용현황(톤/일)_건물용수
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	92
Distinct (%)	3.2%
Missing	3755
Missing (%)	56.9%
Infinite	0
Infinite (%)	0.0%
Mean	9.365891

Minimum	0
Maximum	4205
Zeros	2715
Zeros (%)	41.1%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4205
Range	4205
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	135.18267
Coefficient of variation (CV)	14.433509
Kurtosis	588.2777
Mean	9.365891
Median Absolute Deviation (MAD)	0
Skewness	22.161785
Sum	26645.96
Variance	18274.355
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2715	41.1%
9.0	6	0.1%
15.0	6	0.1%
10.0	5	0.1%
0.06	5	0.1%
4.0	4	0.1%
3.5	4	0.1%
28.5	3	< 0.1%
1200.0	3	< 0.1%
864.0	3	< 0.1%
Other values (82)	91	1.4%
(Missing)	3755	56.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2715	41.1%
0.04	1	< 0.1%
0.06	5	0.1%
0.1	2	< 0.1%
0.14	1	< 0.1%
0.22	1	< 0.1%
0.5	1	< 0.1%
0.6	1	< 0.1%
1.0	1	< 0.1%
1.4	1	< 0.1%

Value	Count	Frequency (%)
4205.0	1	< 0.1%
3840.0	1	< 0.1%
1616.0	2	< 0.1%
1580.0	1	< 0.1%
1366.0	1	< 0.1%
1250.0	2	< 0.1%
1200.0	3	< 0.1%
864.0	3	< 0.1%
300.0	3	< 0.1%
240.0	1	< 0.1%

미사용_하수도방류(톤/일)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	2057
Distinct (%)	31.4%
Missing	41
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	62.967696

Minimum	-1771.6
Maximum	7100.08
Zeros	2484
Zeros (%)	37.6%
Negative	84
Negative (%)	1.3%
Memory size	58.1 KiB

Quantile statistics

Minimum	-1771.6
5-th percentile	0
Q1	0
median	1.3
Q3	29.24
95-th percentile	319.846
Maximum	7100.08
Range	8871.68
Interquartile range (IQR)	29.24

Descriptive statistics

Standard deviation	218.00553
Coefficient of variation (CV)	3.4621804
Kurtosis	256.70975
Mean	62.967696
Median Absolute Deviation (MAD)	1.3
Skewness	11.419487
Sum	413005.12
Variance	47526.409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2484	37.6%
1.0	171	2.6%
2.0	89	1.3%
0.1	64	1.0%
3.0	40	0.6%
4.0	31	0.5%
5.0	29	0.4%
0.2	24	0.4%
7.0	22	0.3%
1.3	22	0.3%
Other values (2047)	3583	54.3%
(Missing)	41	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1771.6	1	< 0.1%
-1562.83	1	< 0.1%
-178.2	1	< 0.1%
-151.4	1	< 0.1%
-108.5	1	< 0.1%
-83.4	1	< 0.1%
-71.0	1	< 0.1%
-65.8	1	< 0.1%
-53.0	1	< 0.1%
-12.78	1	< 0.1%

Value	Count	Frequency (%)
7100.08	1	< 0.1%
5119.0	1	< 0.1%
4000.0	1	< 0.1%
3639.3	1	< 0.1%
2728.34	1	< 0.1%
2589.0	1	< 0.1%
2574.87	1	< 0.1%
2356.57	1	< 0.1%
2187.26	1	< 0.1%
2166.59	1	< 0.1%

방류하천명
Text

MISSING

Distinct	71
Distinct (%)	4.7%
Missing	5098
Missing (%)	77.2%
Memory size	51.7 KiB

Length

Max length	19
Median length	3
Mean length	3.3462051
Min length	1

Characters and Unicode

Total characters	5026
Distinct characters	96
Distinct categories	7 ?
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	15 ?
Unique (%)	1.0%

Sample

1st row	사당천
2nd row	사당천
3rd row	사당천
4th row	성북천
5th row	청계천

Value	Count	Frequency (%)
청계천	206	13.0%
사당천	164	10.4%
중랑천	107	6.8%
양재천	100	6.3%
탄천	99	6.3%
성내천	87	5.5%
녹번천	66	4.2%
불광천	53	3.4%
여의천	51	3.2%
당현천	49	3.1%
Other values (49)	598	37.8%

Most occurring characters

Value	Count	Frequency (%)
천	1352	26.9%
당	213	4.2%
계	207	4.1%
청	206	4.1%
	196	3.9%
사	164	3.3%
성	135	2.7%
양	117	2.3%
중	110	2.2%
랑	110	2.2%
Other values (86)	2216	44.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4754	94.6%
Space Separator	196	3.9%
Open Punctuation	31	0.6%
Close Punctuation	31	0.6%
Dash Punctuation	9	0.2%
Other Punctuation	3	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
천	1352	28.4%
당	213	4.5%
계	207	4.4%
청	206	4.3%
사	164	3.4%
성	135	2.8%
양	117	2.5%
중	110	2.3%
랑	110	2.3%
재	101	2.1%
Other values (80)	2039	42.9%

Space Separator

Value	Count	Frequency (%)
	196	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	31	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	31	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	3	100.0%

Decimal Number

Value	Count	Frequency (%)
0	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4754	94.6%
Common	272	5.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
천	1352	28.4%
당	213	4.5%
계	207	4.4%
청	206	4.3%
사	164	3.4%
성	135	2.8%
양	117	2.5%
중	110	2.3%
랑	110	2.3%
재	101	2.1%
Other values (80)	2039	42.9%

Common

Value	Count	Frequency (%)
	196	72.1%
(	31	11.4%
)	31	11.4%
-	9	3.3%
?	3	1.1%
0	2	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4754	94.6%
ASCII	272	5.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
천	1352	28.4%
당	213	4.5%
계	207	4.4%
청	206	4.3%
사	164	3.4%
성	135	2.8%
양	117	2.5%
중	110	2.3%
랑	110	2.3%
재	101	2.1%
Other values (80)	2039	42.9%

ASCII

Value	Count	Frequency (%)
	196	72.1%
(	31	11.4%
)	31	11.4%
-	9	3.3%
?	3	1.1%
0	2	0.7%

일평균이용현황(톤/일)_기타건물용수
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED ZEROS

Distinct	92
Distinct (%)	2.6%
Missing	3068
Missing (%)	46.5%
Infinite	0
Infinite (%)	0.0%
Mean	4.1675793

Minimum	0
Maximum	1800
Zeros	3401
Zeros (%)	51.5%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1800
Range	1800
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	75.917168
Coefficient of variation (CV)	18.21613
Kurtosis	460.97856
Mean	4.1675793
Median Absolute Deviation (MAD)	0
Skewness	21.186669
Sum	14719.89
Variance	5763.4164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	3401	51.5%
8.0	10	0.2%
30.0	7	0.1%
7.0	6	0.1%
9.0	3	< 0.1%
4.49	2	< 0.1%
2.7	2	< 0.1%
2.84	2	< 0.1%
10.0	2	< 0.1%
1800.0	2	< 0.1%
Other values (82)	95	1.4%
(Missing)	3068	46.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3401	51.5%
0.01	2	< 0.1%
0.04	2	< 0.1%
0.09	1	< 0.1%
0.1	2	< 0.1%
0.2	1	< 0.1%
0.3	1	< 0.1%
0.35	1	< 0.1%
0.6	1	< 0.1%
0.74	2	< 0.1%

Value	Count	Frequency (%)
1800.0	2	< 0.1%
1780.0	2	< 0.1%
1576.0	1	< 0.1%
1396.6	1	< 0.1%
1210.0	1	< 0.1%
1117.8	1	< 0.1%
591.0	1	< 0.1%
197.92	1	< 0.1%
129.53	1	< 0.1%
93.48	1	< 0.1%

Heatmap
Table

	기관명	호선명	조사명	조사년도	총발생량(톤)	일평균발생량(톤/일)	일평균이용현황(톤/일)_하천방류	일평균이용현황(톤/일)_도로청소	일평균이용현황(톤/일)_공원용수	일평균이용현황(톤/일)_수경시설	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원	일평균이용현황(톤/일)_화장실세척	일평균이용현황(톤/일)_건물용수	미사용_하수도방류(톤/일)	방류하천명	일평균이용현황(톤/일)_기타건물용수
기관명	1.000	0.970	0.648	0.600	0.381	0.388	0.515	0.171	0.087	0.598	1.000	1.000	0.366	0.272	0.223	0.944	0.032
호선명	0.970	1.000	0.452	0.386	0.436	0.457	0.585	0.229	0.061	0.196	0.939	1.000	0.386	0.237	0.277	0.975	0.000
조사명	0.648	0.452	1.000	1.000	0.000	0.000	0.336	0.815	0.000	0.483	1.000	0.702	0.536	0.758	0.117	0.356	0.043
조사년도	0.600	0.386	1.000	1.000	0.022	0.013	0.299	0.500	NaN	0.090	NaN	NaN	0.476	0.795	0.086	0.345	0.000
총발생량(톤)	0.381	0.436	0.000	0.022	1.000	0.999	0.996	0.668	NaN	0.601	0.715	0.363	0.735	0.506	0.436	0.799	0.317
일평균발생량(톤/일)	0.388	0.457	0.000	0.013	0.999	1.000	0.997	0.681	0.526	0.601	0.715	0.363	0.733	0.440	0.428	0.805	0.407
일평균이용현황(톤/일)_하천방류	0.515	0.585	0.336	0.299	0.996	0.997	1.000	0.628	0.000	NaN	0.674	NaN	NaN	0.182	0.313	0.809	0.259
일평균이용현황(톤/일)_도로청소	0.171	0.229	0.815	0.500	0.668	0.681	0.628	1.000	0.000	NaN	0.367	NaN	0.199	0.000	0.715	0.494	0.190
일평균이용현황(톤/일)_공원용수	0.087	0.061	0.000	NaN	NaN	0.526	0.000	0.000	1.000	0.000	NaN	NaN	NaN	0.000	0.000	NaN	NaN
일평균이용현황(톤/일)_수경시설	0.598	0.196	0.483	0.090	0.601	0.601	NaN	NaN	0.000	1.000	NaN	NaN	0.986	0.000	0.000	0.712	NaN
일평균이용현황(톤/일)_지하수공급	1.000	0.939	1.000	NaN	0.715	0.715	0.674	0.367	NaN	NaN	1.000	NaN	NaN	0.000	0.000	0.803	NaN
일평균이용현황(톤/일)_열원	1.000	1.000	0.702	NaN	0.363	0.363	NaN	NaN	NaN	NaN	NaN	1.000	NaN	0.518	0.000	1.000	NaN
일평균이용현황(톤/일)_화장실세척	0.366	0.386	0.536	0.476	0.735	0.733	NaN	0.199	NaN	0.986	NaN	NaN	1.000	0.000	0.310	0.629	0.000
일평균이용현황(톤/일)_건물용수	0.272	0.237	0.758	0.795	0.506	0.440	0.182	0.000	0.000	0.000	0.000	0.518	0.000	1.000	0.000	0.927	0.000
미사용_하수도방류(톤/일)	0.223	0.277	0.117	0.086	0.436	0.428	0.313	0.715	0.000	0.000	0.000	0.000	0.310	0.000	1.000	0.533	0.120
방류하천명	0.944	0.975	0.356	0.345	0.799	0.805	0.809	0.494	NaN	0.712	0.803	1.000	0.629	0.927	0.533	1.000	0.810
일평균이용현황(톤/일)_기타건물용수	0.032	0.000	0.043	0.000	0.317	0.407	0.259	0.190	NaN	NaN	NaN	NaN	0.000	0.000	0.120	0.810	1.000

Heatmap
Table

	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원	조사명	호선명	기관명
일평균이용현황(톤/일)_지하수공급	1.000	1.000	0.998	0.703	0.998
일평균이용현황(톤/일)_열원	1.000	1.000	0.496	0.988	0.998
조사명	0.998	0.496	1.000	0.147	0.282
호선명	0.703	0.988	0.147	1.000	0.815
기관명	0.998	0.998	0.282	0.815	1.000

Heatmap
Table

	조사년도	총발생량(톤)	일평균발생량(톤/일)	일평균이용현황(톤/일)_하천방류	일평균이용현황(톤/일)_도로청소	일평균이용현황(톤/일)_공원용수	일평균이용현황(톤/일)_수경시설	일평균이용현황(톤/일)_화장실세척	일평균이용현황(톤/일)_건물용수	미사용_하수도방류(톤/일)	일평균이용현황(톤/일)_기타건물용수	기관명	호선명	조사명	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원
조사년도	1.000	-0.017	-0.007	0.546	0.140	-0.039	-0.022	0.270	0.226	-0.048	0.018	0.304	0.161	0.999	1.000	1.000
총발생량(톤)	-0.017	1.000	0.997	0.815	0.267	0.148	0.243	0.303	0.208	0.279	0.184	0.168	0.176	0.000	0.700	0.242
일평균발생량(톤/일)	-0.007	0.997	1.000	0.800	0.262	0.152	0.246	0.302	0.198	0.281	0.183	0.172	0.187	0.000	0.700	0.242
일평균이용현황(톤/일)_하천방류	0.546	0.815	0.800	1.000	0.233	0.066	0.160	-0.036	0.204	-0.641	0.052	0.242	0.258	0.135	0.702	1.000
일평균이용현황(톤/일)_도로청소	0.140	0.267	0.262	0.233	1.000	0.150	0.014	0.063	0.164	-0.007	0.435	0.090	0.112	0.474	0.239	1.000
일평균이용현황(톤/일)_공원용수	-0.039	0.148	0.152	0.066	0.150	1.000	0.137	0.066	0.060	0.019	0.624	0.068	0.055	0.000	1.000	1.000
일평균이용현황(톤/일)_수경시설	-0.022	0.243	0.246	0.160	0.014	0.137	1.000	0.675	0.025	0.074	NaN	0.289	0.084	0.322	1.000	1.000
일평균이용현황(톤/일)_화장실세척	0.270	0.303	0.302	-0.036	0.063	0.066	0.675	1.000	0.008	-0.038	0.076	0.176	0.167	0.261	1.000	1.000
일평균이용현황(톤/일)_건물용수	0.226	0.208	0.198	0.204	0.164	0.060	0.025	0.008	1.000	0.035	0.254	0.129	0.133	0.536	0.000	0.346
미사용_하수도방류(톤/일)	-0.048	0.279	0.281	-0.641	-0.007	0.019	0.074	-0.038	0.035	1.000	0.020	0.098	0.111	0.049	0.000	0.000
일평균이용현황(톤/일)_기타건물용수	0.018	0.184	0.183	0.052	0.435	0.624	NaN	0.076	0.254	0.020	1.000	0.016	0.000	0.021	1.000	NaN
기관명	0.304	0.168	0.172	0.242	0.090	0.068	0.289	0.176	0.129	0.098	0.016	1.000	0.815	0.282	0.998	0.998
호선명	0.161	0.176	0.187	0.258	0.112	0.055	0.084	0.167	0.133	0.111	0.000	0.815	1.000	0.147	0.703	0.988
조사명	0.999	0.000	0.000	0.135	0.474	0.000	0.322	0.261	0.536	0.049	0.021	0.282	0.147	1.000	0.998	0.496
일평균이용현황(톤/일)_지하수공급	1.000	0.700	0.700	0.702	0.239	1.000	1.000	1.000	0.000	0.000	1.000	0.998	0.703	0.998	1.000	1.000
일평균이용현황(톤/일)_열원	1.000	0.242	0.242	1.000	1.000	1.000	1.000	1.000	0.346	0.000	NaN	0.998	0.988	0.496	1.000	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

	기관명	호선명	역명	역구분	조사명	조사년도	총발생량(톤)	일평균발생량(톤/일)	일평균이용현황(톤/일)_하천방류	일평균이용현황(톤/일)_도로청소	일평균이용현황(톤/일)_공원용수	일평균이용현황(톤/일)_수경시설	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원	일평균이용현황(톤/일)_화장실세척	일평균이용현황(톤/일)_건물용수	미사용_하수도방류(톤/일)	방류하천명
0	서울도시철도공사	5호선	개화산	역사	2022년 하반기 : 2022.7월~12월	2022	5387.52	29.28	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	29.28	<NA>
1	서울도시철도공사	5호선	방화	역사	2022년 하반기 : 2022.7월~12월	2022	1253.04	6.81	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	6.81	<NA>
2	서울메트로	4호선	남태령	본선(사당측)	2022년 하반기 : 2022.7월~12월	2022	19485.6	105.9	105.9	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	0.0	사당천
3	서울메트로	4호선	남태령	본선(역사측)	2022년 하반기 : 2022.7월~12월	2022	5650.64	30.71	30.71	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	0.0	사당천
4	서울메트로	4호선	사당	역사	2022년 하반기 : 2022.7월~12월	2022	9201.84	50.01	50.01	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	0.0	사당천
5	서울메트로	4호선	총신대입구	역사	2022년 하반기 : 2022.7월~12월	2022	15590.32	84.73	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	84.73	<NA>
6	서울메트로	4호선	이촌	본선	2022년 하반기 : 2022.7월~12월	2022	0.0	0.0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	0.0	<NA>
7	서울메트로	4호선	이촌	역사	2022년 하반기 : 2022.7월~12월	2022	460.0	2.5	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	2.5	<NA>
8	서울메트로	4호선	신용산	역사	2022년 하반기 : 2022.7월~12월	2022	360.64	1.96	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	1.96	<NA>
9	서울메트로	4호선	삼각지	역사	2022년 하반기 : 2022.7월~12월	2022	4563.2	24.8	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	24.8	<NA>

	기관명	호선명	역명	역구분	조사명	조사년도	총발생량(톤)	일평균발생량(톤/일)	일평균이용현황(톤/일)_하천방류	일평균이용현황(톤/일)_수경시설	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원	일평균이용현황(톤/일)_화장실세척	미사용_하수도방류(톤/일)	방류하천명	일평균이용현황(톤/일)_기타건물용수
6590	서울메트로	2호선	선릉	역사	2014년 하반기 : 2014.7월~12월	2014	3146.4	17.1	0.0	0.0	<NA>	<NA>	<NA>	17.1	<NA>	<NA>
6591	서울도시철도공사	5호선	우장산	<NA>	2014년 하반기 : 2014.7월~12월	2014	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	<NA>	<NA>
6592	서울도시철도공사	5호선	화곡	<NA>	2014년 하반기 : 2014.7월~12월	2014	736.0	4.0	0.0	0.0	<NA>	<NA>	<NA>	4.0	<NA>	<NA>
6593	서울도시철도공사	5호선	까치산	<NA>	2014년 하반기 : 2014.7월~12월	2014	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	<NA>	<NA>
6594	서울도시철도공사	5호선	신정	<NA>	2014년 하반기 : 2014.7월~12월	2014	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	<NA>	<NA>
6595	서울도시철도공사	5호선	목동	<NA>	2014년 하반기 : 2014.7월~12월	2014	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	<NA>	<NA>
6596	서울메트로	2호선	역삼	역사	2014년 하반기 : 2014.7월~12월	2014	1840.0	10.0	0.0	0.0	<NA>	<NA>	<NA>	10.0	<NA>	<NA>
6597	서울도시철도공사	5호선	오목교	<NA>	2014년 하반기 : 2014.7월~12월	2014	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	<NA>	<NA>
6598	서울메트로	1호선	청량리(서부)	<NA>	2014년 상반기 : 2014.1월~6월	2014	<NA>	2.1	0.0	0.0	<NA>	<NA>	<NA>	2.1	<NA>	<NA>
6599	서울메트로	3호선	연신내	<NA>	2014년 상반기 : 2014.1월~6월	2014	<NA>	562.6	552.7	9.9	<NA>	<NA>	<NA>	0.0	<NA>	<NA>

Most frequently occurring

	기관명	호선명	역명	역구분	조사명	조사년도	총발생량(톤)	일평균발생량(톤/일)	일평균이용현황(톤/일)_하천방류	일평균이용현황(톤/일)_도로청소	일평균이용현황(톤/일)_공원용수	일평균이용현황(톤/일)_수경시설	일평균이용현황(톤/일)_지하수공급	일평균이용현황(톤/일)_열원	일평균이용현황(톤/일)_화장실세척	일평균이용현황(톤/일)_건물용수	미사용_하수도방류(톤/일)	방류하천명	일평균이용현황(톤/일)_기타건물용수	# duplicates
0	기타	기타	(주)삼성물산	<NA>	2015년 상반기 : 2015.1월~6월	2015	0.0	0.0	0.0	0.0	0.0	0.0	<NA>	<NA>	<NA>	0.0	0.0	<NA>	<NA>	2

Overview

Variables

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Other Punctuation

Close Punctuation

Open Punctuation

Space Separator

Dash Punctuation

Other Symbol

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Close Punctuation

Open Punctuation

Space Separator

Other Punctuation

Dash Punctuation

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

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

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Other Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample