gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	1312
Missing cells	562
Missing cells (%)	2.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	165.4 KiB
Average record size in memory	129.1 B

Variable types

Categorical	3
Text	1
Numeric	9
DateTime	2

Dataset

Description	산불 발생 현황
Author	경기도
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JJYI61VF919IWMHTPIZI28614432&infSeq=1

Alerts

`발생년도` is highly overall correlated with `진화종료년도`	High correlation
`발생월` is highly overall correlated with `진화종료월`	High correlation
`발생일` is highly overall correlated with `진화종료일`	High correlation
`진화종료년도` is highly overall correlated with `발생년도`	High correlation
`진화종료월` is highly overall correlated with `발생월`	High correlation
`진화종료일` is highly overall correlated with `발생일`	High correlation
`WGS84위도` is highly overall correlated with `시군명`	High correlation
`WGS84경도` is highly overall correlated with `시군명`	High correlation
`시군명` is highly overall correlated with `WGS84위도` and 1 other fields	High correlation
`WGS84위도` has 281 (21.4%) missing values	Missing
`WGS84경도` has 281 (21.4%) missing values	Missing

Reproduction

Analysis started	2024-05-10 20:39:57.634774
Analysis finished	2024-05-10 20:40:28.455639
Duration	30.82 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군명
Categorical

HIGH CORRELATION

Distinct	31
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

양평군	129
화성시	120
남양주시	119
포천시	94
파주시	91
Other values (26)	759

Length

Max length	4
Median length	3
Mean length	3.117378
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	연천군
2nd row	화성시
3rd row	안성시
4th row	가평군
5th row	군포시

Common Values

Value	Count	Frequency (%)
양평군	129	9.8%
화성시	120	9.1%
남양주시	119	9.1%
포천시	94	7.2%
파주시	91	6.9%
가평군	90	6.9%
광주시	90	6.9%
고양시	54	4.1%
여주시	50	3.8%
안성시	45	3.4%
Other values (21)	430	32.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
양평군	129	9.8%
화성시	120	9.1%
남양주시	119	9.1%
포천시	94	7.2%
파주시	91	6.9%
가평군	90	6.9%
광주시	90	6.9%
고양시	54	4.1%
여주시	50	3.8%
안성시	45	3.4%
Other values (21)	430	32.8%

발생장소
Text

Distinct	1265
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Length

Max length	31
Median length	26
Mean length	16.603659
Min length	12

Characters and Unicode

Total characters	21784
Distinct characters	275
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	1225 ?
Unique (%)	93.4%

Sample

1st row	경기 연천 군남 황지 산81-2
2nd row	경기 화성 장안 장안 85-6
3rd row	경기 안성 고삼 쌍지 산89-1
4th row	경기 가평 북 화악 산234-1
5th row	경기 군포시 둔대 산98

Value	Count	Frequency (%)
경기	1312	20.6%
양평	135	2.1%
화성	120	1.9%
남양주	119	1.9%
가평	105	1.7%
파주	99	1.6%
포천	94	1.5%
광주	90	1.4%
고양	55	0.9%
여주	50	0.8%
Other values (1694)	4179	65.7%

Most occurring characters

Value	Count	Frequency (%)
	5370	24.7%
기	1331	6.1%
경	1313	6.0%
산	1249	5.7%
1	1062	4.9%
-	832	3.8%
2	563	2.6%
양	516	2.4%
주	413	1.9%
3	378	1.7%
Other values (265)	8757	40.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	11462	52.6%
Space Separator	5370	24.7%
Decimal Number	4007	18.4%
Dash Punctuation	832	3.8%
Other Punctuation	57	0.3%
Open Punctuation	28	0.1%
Close Punctuation	28	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	1331	11.6%
경	1313	11.5%
산	1249	10.9%
양	516	4.5%
주	413	3.6%
평	340	3.0%
천	270	2.4%
성	259	2.3%
남	242	2.1%
안	194	1.7%
Other values (249)	5335	46.5%

Decimal Number

Value	Count	Frequency (%)
1	1062	26.5%
2	563	14.1%
3	378	9.4%
4	369	9.2%
5	334	8.3%
6	309	7.7%
0	258	6.4%
7	255	6.4%
8	243	6.1%
9	236	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	42	73.7%
,	15	26.3%

Space Separator

Value	Count	Frequency (%)
	5370	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	832	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	28	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	11462	52.6%
Common	10322	47.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	1331	11.6%
경	1313	11.5%
산	1249	10.9%
양	516	4.5%
주	413	3.6%
평	340	3.0%
천	270	2.4%
성	259	2.3%
남	242	2.1%
안	194	1.7%
Other values (249)	5335	46.5%

Common

Value	Count	Frequency (%)
	5370	52.0%
1	1062	10.3%
-	832	8.1%
2	563	5.5%
3	378	3.7%
4	369	3.6%
5	334	3.2%
6	309	3.0%
0	258	2.5%
7	255	2.5%
Other values (6)	592	5.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	11462	52.6%
ASCII	10322	47.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5370	52.0%
1	1062	10.3%
-	832	8.1%
2	563	5.5%
3	378	3.7%
4	369	3.6%
5	334	3.2%
6	309	3.0%
0	258	2.5%
7	255	2.5%
Other values (6)	592	5.7%

Hangul

Value	Count	Frequency (%)
기	1331	11.6%
경	1313	11.5%
산	1249	10.9%
양	516	4.5%
주	413	3.6%
평	340	3.0%
천	270	2.4%
성	259	2.3%
남	242	2.1%
안	194	1.7%
Other values (249)	5335	46.5%

발생원인
Categorical

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

기타	424
입산자실화	304
쓰레기소각	230
농산부산물소각	153
담뱃불실화	111

Length

Max length	7
Median length	5
Mean length	4.4009146
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	농산부산물소각
2nd row	농산부산물소각
3rd row	기타
4th row	기타
5th row	건축물화재비화

Common Values

Value	Count	Frequency (%)
기타	424	32.3%
입산자실화	304	23.2%
쓰레기소각	230	17.5%
농산부산물소각	153	11.7%
담뱃불실화	111	8.5%
건축물화재비화	90	6.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
기타	424	32.3%
입산자실화	304	23.2%
쓰레기소각	230	17.5%
농산부산물소각	153	11.7%
담뱃불실화	111	8.5%
건축물화재비화	90	6.9%

발생년도
Real number (ℝ)

HIGH CORRELATION

Distinct	14
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.7332

Minimum	2011
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	2011
5-th percentile	2014
Q1	2016
median	2019
Q3	2021
95-th percentile	2023
Maximum	2024
Range	13
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8633552
Coefficient of variation (CV)	0.0014183921
Kurtosis	-0.80988381
Mean	2018.7332
Median Absolute Deviation (MAD)	2
Skewness	-0.15180198
Sum	2648578
Variance	8.1988033
Monotonicity	Decreasing

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
2020	213	16.2%
2019	172	13.1%
2017	161	12.3%
2022	154	11.7%
2015	150	11.4%
2016	113	8.6%
2023	104	7.9%
2021	74	5.6%
2018	69	5.3%
2014	48	3.7%
Other values (4)	54	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2011	7	0.5%
2012	11	0.8%
2013	6	0.5%
2014	48	3.7%
2015	150	11.4%
2016	113	8.6%
2017	161	12.3%
2018	69	5.3%
2019	172	13.1%
2020	213	16.2%

Value	Count	Frequency (%)
2024	30	2.3%
2023	104	7.9%
2022	154	11.7%
2021	74	5.6%
2020	213	16.2%
2019	172	13.1%
2018	69	5.3%
2017	161	12.3%
2016	113	8.6%
2015	150	11.4%

발생월
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2141768

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.5868317
Coefficient of variation (CV)	0.61384033
Kurtosis	2.3034705
Mean	4.2141768
Median Absolute Deviation (MAD)	1
Skewness	1.6613693
Sum	5529
Variance	6.6916982
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	400	30.5%
4	336	25.6%
2	148	11.3%
5	114	8.7%
1	88	6.7%
6	74	5.6%
11	59	4.5%
12	37	2.8%
10	23	1.8%
7	12	0.9%
Other values (2)	21	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	88	6.7%
2	148	11.3%
3	400	30.5%
4	336	25.6%
5	114	8.7%
6	74	5.6%
7	12	0.9%
8	9	0.7%
9	12	0.9%
10	23	1.8%

Value	Count	Frequency (%)
12	37	2.8%
11	59	4.5%
10	23	1.8%
9	12	0.9%
8	9	0.7%
7	12	0.9%
6	74	5.6%
5	114	8.7%
4	336	25.6%
3	400	30.5%

발생일
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.31936

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8612144
Coefficient of variation (CV)	0.57843242
Kurtosis	-1.2325017
Mean	15.31936
Median Absolute Deviation (MAD)	8
Skewness	0.089144746
Sum	20099
Variance	78.52112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
10	60	4.6%
4	52	4.0%
8	52	4.0%
12	50	3.8%
9	50	3.8%
2	49	3.7%
3	49	3.7%
23	48	3.7%
28	46	3.5%
24	46	3.5%
Other values (21)	810	61.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	39	3.0%
2	49	3.7%
3	49	3.7%
4	52	4.0%
5	37	2.8%
6	44	3.4%
7	43	3.3%
8	52	4.0%
9	50	3.8%
10	60	4.6%

Value	Count	Frequency (%)
31	20	1.5%
30	37	2.8%
29	43	3.3%
28	46	3.5%
27	42	3.2%
26	44	3.4%
25	34	2.6%
24	46	3.5%
23	48	3.7%
22	45	3.4%

발생시간
Date

Distinct	562
Distinct (%)	42.8%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Minimum	2024-05-10 00:06:00
Maximum	2024-05-10 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

발생요일
Categorical

Distinct	7
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

토요일	224
일요일	223
월요일	189
화요일	181
수요일	173
Other values (2)	322

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	일요일
2nd row	일요일
3rd row	일요일
4th row	토요일
5th row	목요일

Common Values

Value	Count	Frequency (%)
토요일	224	17.1%
일요일	223	17.0%
월요일	189	14.4%
화요일	181	13.8%
수요일	173	13.2%
목요일	169	12.9%
금요일	153	11.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
토요일	224	17.1%
일요일	223	17.0%
월요일	189	14.4%
화요일	181	13.8%
수요일	173	13.2%
목요일	169	12.9%
금요일	153	11.7%

진화종료년도
Real number (ℝ)

HIGH CORRELATION

Distinct	14
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.7332

Minimum	2011
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	2011
5-th percentile	2014
Q1	2016
median	2019
Q3	2021
95-th percentile	2023
Maximum	2024
Range	13
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8633552
Coefficient of variation (CV)	0.0014183921
Kurtosis	-0.80988381
Mean	2018.7332
Median Absolute Deviation (MAD)	2
Skewness	-0.15180198
Sum	2648578
Variance	8.1988033
Monotonicity	Decreasing

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
2020	213	16.2%
2019	172	13.1%
2017	161	12.3%
2022	154	11.7%
2015	150	11.4%
2016	113	8.6%
2023	104	7.9%
2021	74	5.6%
2018	69	5.3%
2014	48	3.7%
Other values (4)	54	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2011	7	0.5%
2012	11	0.8%
2013	6	0.5%
2014	48	3.7%
2015	150	11.4%
2016	113	8.6%
2017	161	12.3%
2018	69	5.3%
2019	172	13.1%
2020	213	16.2%

Value	Count	Frequency (%)
2024	30	2.3%
2023	104	7.9%
2022	154	11.7%
2021	74	5.6%
2020	213	16.2%
2019	172	13.1%
2018	69	5.3%
2017	161	12.3%
2016	113	8.6%
2015	150	11.4%

진화종료월
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2157012

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.5858201
Coefficient of variation (CV)	0.61337841
Kurtosis	2.3063958
Mean	4.2157012
Median Absolute Deviation (MAD)	1
Skewness	1.6626148
Sum	5531
Variance	6.6864657
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	399	30.4%
4	337	25.7%
2	149	11.4%
5	114	8.7%
1	87	6.6%
6	74	5.6%
11	59	4.5%
12	37	2.8%
10	23	1.8%
7	12	0.9%
Other values (2)	21	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	87	6.6%
2	149	11.4%
3	399	30.4%
4	337	25.7%
5	114	8.7%
6	74	5.6%
7	12	0.9%
8	9	0.7%
9	12	0.9%
10	23	1.8%

Value	Count	Frequency (%)
12	37	2.8%
11	59	4.5%
10	23	1.8%
9	12	0.9%
8	9	0.7%
7	12	0.9%
6	74	5.6%
5	114	8.7%
4	337	25.7%
3	399	30.4%

진화종료일
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.317835

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8548109
Coefficient of variation (CV)	0.57807194
Kurtosis	-1.2336276
Mean	15.317835
Median Absolute Deviation (MAD)	8
Skewness	0.090961475
Sum	20097
Variance	78.407676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
10	58	4.4%
9	53	4.0%
3	52	4.0%
23	52	4.0%
4	51	3.9%
8	49	3.7%
12	48	3.7%
28	46	3.5%
6	46	3.5%
2	45	3.4%
Other values (21)	812	61.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	39	3.0%
2	45	3.4%
3	52	4.0%
4	51	3.9%
5	39	3.0%
6	46	3.5%
7	43	3.3%
8	49	3.7%
9	53	4.0%
10	58	4.4%

Value	Count	Frequency (%)
31	21	1.6%
30	38	2.9%
29	39	3.0%
28	46	3.5%
27	43	3.3%
26	43	3.3%
25	37	2.8%
24	43	3.3%
23	52	4.0%
22	41	3.1%

진화종료시간
Date

Distinct	340
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Minimum	2024-05-10 00:05:00
Maximum	2024-05-10 23:50:00

Histogram

Histogram with fixed size bins (bins=50)

피해면적합계(ha)
Real number (ℝ)

Distinct	72
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.34395579

Minimum	0.01
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.01
Q1	0.02
median	0.08
Q3	0.2
95-th percentile	1.489
Maximum	29
Range	28.99
Interquartile range (IQR)	0.18

Descriptive statistics

Standard deviation	1.3275333
Coefficient of variation (CV)	3.8596045
Kurtosis	293.58291
Mean	0.34395579
Median Absolute Deviation (MAD)	0.07
Skewness	15.040916
Sum	451.27
Variance	1.7623448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.01	270	20.6%
0.1	138	10.5%
0.03	107	8.2%
0.02	79	6.0%
0.06	77	5.9%
0.2	75	5.7%
0.05	61	4.6%
0.3	58	4.4%
0.5	57	4.3%
0.09	33	2.5%
Other values (62)	357	27.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	270	20.6%
0.02	79	6.0%
0.03	107	8.2%
0.04	30	2.3%
0.05	61	4.6%
0.06	77	5.9%
0.07	17	1.3%
0.08	18	1.4%
0.09	33	2.5%
0.1	138	10.5%

Value	Count	Frequency (%)
29.0	1	0.1%
27.0	1	0.1%
8.3	1	0.1%
8.0	3	0.2%
7.0	2	0.2%
6.5	1	0.1%
5.0	4	0.3%
4.0	1	0.1%
3.86	1	0.1%
3.5	2	0.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	981
Distinct (%)	95.2%
Missing	281
Missing (%)	21.4%
Infinite	0
Infinite (%)	0.0%
Mean	37.530336

Minimum	36.916352
Maximum	38.218811
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	36.916352
5-th percentile	37.073635
Q1	37.329277
median	37.514948
Q3	37.730245
95-th percentile	37.993456
Maximum	38.218811
Range	1.302459
Interquartile range (IQR)	0.40096839

Descriptive statistics

Standard deviation	0.28319167
Coefficient of variation (CV)	0.0075456736
Kurtosis	-0.80691373
Mean	37.530336
Median Absolute Deviation (MAD)	0.2061596
Skewness	0.064067632
Sum	38693.777
Variance	0.08019752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.4313036457	5	0.4%
37.3556916599	4	0.3%
37.5665184551	4	0.3%
37.366387574	3	0.2%
37.4368039479	3	0.2%
37.7005048091	3	0.2%
37.6466988867	3	0.2%
37.9157705327	2	0.2%
37.0598947803	2	0.2%
37.6461351857	2	0.2%
Other values (971)	1000	76.2%
(Missing)	281	21.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
36.9163519214	1	0.1%
36.9249181907	1	0.1%
36.9347924924	1	0.1%
36.937654125	1	0.1%
36.9385031283	1	0.1%
36.9434349775	1	0.1%
36.9555033517	1	0.1%
36.9635498072	1	0.1%
36.9653348086	1	0.1%
36.9703259022	1	0.1%

Value	Count	Frequency (%)
38.2188109644	1	0.1%
38.2095021869	1	0.1%
38.1919760497	1	0.1%
38.1894580887	1	0.1%
38.1785089435	1	0.1%
38.1661335653	1	0.1%
38.1579965068	1	0.1%
38.1455347461	1	0.1%
38.1450732597	1	0.1%
38.1261287067	1	0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	981
Distinct (%)	95.2%
Missing	281
Missing (%)	21.4%
Infinite	0
Infinite (%)	0.0%
Mean	127.12695

Minimum	126.44995
Maximum	127.76933
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.7 KiB

Quantile statistics

Minimum	126.44995
5-th percentile	126.72901
Q1	126.91663
median	127.12812
Q3	127.30596
95-th percentile	127.59058
Maximum	127.76933
Range	1.3193788
Interquartile range (IQR)	0.38933653

Descriptive statistics

Standard deviation	0.25833372
Coefficient of variation (CV)	0.0020320925
Kurtosis	-0.46998397
Mean	127.12695
Median Absolute Deviation (MAD)	0.19604044
Skewness	0.18148902
Sum	131067.88
Variance	0.066736309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.9422488793	5	0.4%
127.1214712612	4	0.3%
127.1082512057	4	0.3%
126.9035873881	3	0.2%
126.9748247711	3	0.2%
127.0986994307	3	0.2%
127.389092778	3	0.2%
126.8675016294	2	0.2%
127.3006125398	2	0.2%
127.3793097534	2	0.2%
Other values (971)	1000	76.2%
(Missing)	281	21.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.4499521302	1	0.1%
126.5324227338	1	0.1%
126.5419035748	1	0.1%
126.5435876938	1	0.1%
126.5453557204	1	0.1%
126.5466122121	1	0.1%
126.5522601269	1	0.1%
126.5614915921	1	0.1%
126.5646666482	1	0.1%
126.5674834068	1	0.1%

Value	Count	Frequency (%)
127.7693309714	1	0.1%
127.7542746984	1	0.1%
127.7529609588	1	0.1%
127.7461774123	1	0.1%
127.7457956064	1	0.1%
127.7443482818	1	0.1%
127.7400729602	1	0.1%
127.7384529282	1	0.1%
127.7236959049	1	0.1%
127.7231650303	1	0.1%

Heatmap
Table

	시군명	발생원인	발생년도	발생월	발생일	발생요일	진화종료년도	진화종료월	진화종료일	피해면적합계(ha)	WGS84위도	WGS84경도
시군명	1.000	0.392	0.274	0.257	0.150	0.000	0.274	0.257	0.141	0.000	0.938	0.927
발생원인	0.392	1.000	0.356	0.261	0.078	0.061	0.356	0.262	0.059	0.034	0.206	0.110
발생년도	0.274	0.356	1.000	0.514	0.299	0.145	1.000	0.513	0.294	0.078	0.133	0.180
발생월	0.257	0.261	0.514	1.000	0.391	0.086	0.514	1.000	0.392	0.000	0.000	0.227
발생일	0.150	0.078	0.299	0.391	1.000	0.180	0.299	0.389	1.000	0.033	0.120	0.000
발생요일	0.000	0.061	0.145	0.086	0.180	1.000	0.145	0.085	0.175	0.066	0.000	0.000
진화종료년도	0.274	0.356	1.000	0.514	0.299	0.145	1.000	0.513	0.294	0.078	0.133	0.180
진화종료월	0.257	0.262	0.513	1.000	0.389	0.085	0.513	1.000	0.394	0.000	0.000	0.227
진화종료일	0.141	0.059	0.294	0.392	1.000	0.175	0.294	0.394	1.000	0.000	0.121	0.000
피해면적합계(ha)	0.000	0.034	0.078	0.000	0.033	0.066	0.078	0.000	0.000	1.000	0.000	0.000
WGS84위도	0.938	0.206	0.133	0.000	0.120	0.000	0.133	0.000	0.121	0.000	1.000	0.467
WGS84경도	0.927	0.110	0.180	0.227	0.000	0.000	0.180	0.227	0.000	0.000	0.467	1.000

Heatmap
Table

	발생원인	발생요일	시군명
발생원인	1.000	0.036	0.182
발생요일	0.036	1.000	0.000
시군명	0.182	0.000	1.000

Heatmap
Table

	발생년도	발생월	발생일	진화종료년도	진화종료월	진화종료일	피해면적합계(ha)	WGS84위도	WGS84경도	시군명	발생원인	발생요일
발생년도	1.000	-0.130	-0.100	1.000	-0.129	-0.100	-0.019	-0.070	0.008	0.097	0.197	0.072
발생월	-0.130	1.000	-0.176	-0.130	1.000	-0.169	-0.019	0.021	0.028	0.092	0.140	0.043
발생일	-0.100	-0.176	1.000	-0.100	-0.174	0.992	-0.052	0.036	0.001	0.044	0.046	0.094
진화종료년도	1.000	-0.130	-0.100	1.000	-0.129	-0.100	-0.019	-0.070	0.008	0.097	0.197	0.072
진화종료월	-0.129	1.000	-0.174	-0.129	1.000	-0.170	-0.018	0.023	0.028	0.092	0.141	0.043
진화종료일	-0.100	-0.169	0.992	-0.100	-0.170	1.000	-0.055	0.027	0.004	0.049	0.049	0.091
피해면적합계(ha)	-0.019	-0.019	-0.052	-0.019	-0.018	-0.055	1.000	0.057	0.164	0.000	0.022	0.045
WGS84위도	-0.070	0.021	0.036	-0.070	0.023	0.027	0.057	1.000	-0.020	0.624	0.109	0.000
WGS84경도	0.008	0.028	0.001	0.008	0.028	0.004	0.164	-0.020	1.000	0.597	0.058	0.000
시군명	0.097	0.092	0.044	0.097	0.092	0.049	0.000	0.624	0.597	1.000	0.182	0.000
발생원인	0.197	0.140	0.046	0.197	0.141	0.049	0.022	0.109	0.058	0.182	1.000	0.036
발생요일	0.072	0.043	0.094	0.072	0.043	0.091	0.045	0.000	0.000	0.000	0.036	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

	시군명	발생장소	발생원인	발생년도	발생월	발생일	발생시간	발생요일	진화종료년도	진화종료월	진화종료일	진화종료시간	피해면적합계(ha)	WGS84위도	WGS84경도
0	연천군	경기 연천 군남 황지 산81-2	농산부산물소각	2024	3	24	14:24:00	일요일	2024	3	24	15:43:00	0.2	38.041556	127.031806
1	화성시	경기 화성 장안 장안 85-6	농산부산물소각	2024	3	24	12:42:00	일요일	2024	3	24	15:00:00	0.3	37.063028	126.863395
2	안성시	경기 안성 고삼 쌍지 산89-1	기타	2024	3	24	10:23:00	일요일	2024	3	24	17:15:00	1.5	37.115046	127.294971
3	가평군	경기 가평 북 화악 산234-1	기타	2024	3	23	14:46:00	토요일	2024	3	23	15:56:00	0.03	<NA>	<NA>
4	군포시	경기 군포시 둔대 산98	건축물화재비화	2024	3	21	10:25:00	목요일	2024	3	21	13:00:00	0.8	37.328402	126.875684
5	남양주시	경기 남양주 별내 용암 산26-1	쓰레기소각	2024	3	20	09:41:00	수요일	2024	3	20	11:45:00	0.38	37.726511	127.127355
6	화성시	경기 화성 양감 대양 710-17	기타	2024	3	19	16:08:00	화요일	2024	3	19	17:04:00	0.05	37.089125	126.929528
7	성남시	경기 성남 수정 심곡 산35-2	건축물화재비화	2024	3	19	14:39:00	화요일	2024	3	19	15:40:00	0.05	37.448769	127.099465
8	광주시	경기 광주 초월 무갑 산68	기타	2024	3	18	15:58:00	월요일	2024	3	18	18:35:00	2.0	37.412348	127.347185
9	양평군	경기 양평 양동 단석 산254	쓰레기소각	2024	3	18	15:55:00	월요일	2024	3	18	17:39:00	0.39	37.403517	127.718506

	시군명	발생장소	발생원인	발생년도	발생월	발생일	발생시간	발생요일	진화종료년도	진화종료월	진화종료일	진화종료시간	피해면적합계(ha)	WGS84위도	WGS84경도
1302	남양주시	경기 남양주 퇴계원 퇴원리 산1-1	농산부산물소각	2012	3	31	15:06:00	토요일	2012	3	31	17:50:00	0.1	37.663641	127.146893
1303	안양시	경기 안양 만안 안양 산22	입산자실화	2012	1	15	16:20:00	일요일	2012	1	15	17:20:00	0.06	37.408133	126.926398
1304	남양주시	경기 남양주 호평 산5-29	입산자실화	2012	1	11	14:30:00	수요일	2012	1	11	16:15:00	0.1	37.663933	127.250795
1305	연천군	경기 연천 연천 고문 산73	담뱃불실화	2011	10	27	13:20:00	목요일	2011	10	27	15:30:00	0.2	<NA>	<NA>
1306	여주시	경기 여주 산북 상품 산56	입산자실화	2011	6	20	13:15:00	월요일	2011	6	20	14:14:00	0.01	37.393484	127.429246
1307	화성시	경기 화성 송산 독지 산199	기타	2011	6	16	15:13:00	목요일	2011	6	16	17:53:00	0.08	37.258012	126.677558
1308	포천시	경기 포천 일동 기산 302-2	농산부산물소각	2011	4	12	15:14:00	화요일	2011	4	12	16:30:00	0.07	37.949708	127.315399
1309	포천시	경기 포천 소홀 이곡 산56-1	입산자실화	2011	4	12	14:45:00	화요일	2011	4	12	16:40:00	0.1	<NA>	<NA>
1310	포천시	경기 포천 관인 중 산297	입산자실화	2011	4	11	14:23:00	월요일	2011	4	11	16:00:00	0.1	38.084232	127.194873
1311	파주시	경기 파주 파평 미산 19.0	입산자실화	2011	2	21	14:10:00	월요일	2011	2	21	15:10:00	0.05	<NA>	<NA>

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

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)

Interactions

Correlations

Missing values

Sample