Overview

Dataset statistics

Number of variables46
Number of observations4990
Missing cells0
Missing cells (%)0.0%
Duplicate rows7
Duplicate rows (%)0.1%
Total size in memory2.0 MiB
Average record size in memory413.0 B

Variable types

Numeric41
Text1
Categorical4

Dataset

Description의용소방대에 대한 의용소방대,정원,현재인원,성별,광역시도,의소대지원현황,출동실적_화재진압_횟수,출동실적_화재진압_인원,출동실적_인명구조및구급_횟수 등에 대한 정보를 제공합니다.
Author소방청
URLhttps://www.data.go.kr/data/15123904/fileData.do

Alerts

의소대지원현황_단체별예산지원액_광역시도 has constant value ""Constant
Dataset has 7 (0.1%) duplicate rowsDuplicates
펌프차 대수 is highly imbalanced (75.7%)Imbalance
산불진압차 대수 is highly imbalanced (83.3%)Imbalance
구급차 대수 is highly imbalanced (87.8%)Imbalance
연령_2030 is highly skewed (γ1 = 29.01108712)Skewed
연령_6165 is highly skewed (γ1 = 21.44040136)Skewed
연령_66 is highly skewed (γ1 = 37.46673313)Skewed
의소대지원현황_행정지원횟수_차량지원 is highly skewed (γ1 = 20.98033636)Skewed
의소대지원현황_행정지원횟수_기타 is highly skewed (γ1 = 20.44889739)Skewed
의소대지원현황_단체별예산지원액_시 is highly skewed (γ1 = 69.12713821)Skewed
의소대지원현황_단체별예산지원액_군 is highly skewed (γ1 = 51.06653073)Skewed
예산현황_확보액_추경 is highly skewed (γ1 = 40.80891623)Skewed
예산현황_집행액 is highly skewed (γ1 = 22.88671112)Skewed
예산현황_잔액 is highly skewed (γ1 = 69.89445153)Skewed
출동실적_화재진압_횟수 is highly skewed (γ1 = 21.15175014)Skewed
출동실적_기타_기타_횟수 is highly skewed (γ1 = 27.96552388)Skewed
성별_남자 has 1868 (37.4%) zerosZeros
성별_여자 has 3169 (63.5%) zerosZeros
연령_2030 has 4522 (90.6%) zerosZeros
연령_3140 has 1979 (39.7%) zerosZeros
연령_4145 has 1229 (24.6%) zerosZeros
연령_4650 has 1027 (20.6%) zerosZeros
연령_5155 has 1089 (21.8%) zerosZeros
연령_5660 has 1871 (37.5%) zerosZeros
연령_6165 has 3772 (75.6%) zerosZeros
연령_66 has 4959 (99.4%) zerosZeros
의소대지원현황_행정지원횟수_차량지원 has 4954 (99.3%) zerosZeros
의소대지원현황_행정지원횟수_장소제공 has 4909 (98.4%) zerosZeros
의소대지원현황_행정지원횟수_간담회 has 4876 (97.7%) zerosZeros
의소대지원현황_행정지원횟수_기타 has 4929 (98.8%) zerosZeros
의소대지원현황_단체별예산지원액_시 has 4954 (99.3%) zerosZeros
의소대지원현황_단체별예산지원액_군 has 4943 (99.1%) zerosZeros
예산현황_교육기관 has 4892 (98.0%) zerosZeros
예산현황_확보액_본예산 has 4656 (93.3%) zerosZeros
예산현황_확보액_추경 has 4864 (97.5%) zerosZeros
예산현황_집행액 has 4751 (95.2%) zerosZeros
예산현황_잔액 has 4951 (99.2%) zerosZeros
출동실적_화재진압_횟수 has 3164 (63.4%) zerosZeros
출동실적_화재진압_인원 has 3181 (63.7%) zerosZeros
출동실적_인명구조및구급_횟수 has 4626 (92.7%) zerosZeros
출동실적_인명구조및구급_인원 has 4629 (92.8%) zerosZeros
출동실적_화재경계근무_횟수 has 3929 (78.7%) zerosZeros
출동실적_화재경계근무_인원 has 3941 (79.0%) zerosZeros
출동실적_교육훈련_횟수 has 3008 (60.3%) zerosZeros
출동실적_교육훈련_인원 has 3029 (60.7%) zerosZeros
출동실적_화재홍보등_횟수 has 2626 (52.6%) zerosZeros
출동실적_화재홍보등_인원 has 2652 (53.1%) zerosZeros
출동실적_기타_지원_횟수 has 4465 (89.5%) zerosZeros
출동실적_기타_지원_인원 has 4476 (89.7%) zerosZeros
출동실적_기타_순찰_횟수 has 3928 (78.7%) zerosZeros
출동실적_기타_순찰_인원 has 3943 (79.0%) zerosZeros
출동실적_기타_기타_횟수 has 4157 (83.3%) zerosZeros
출동실적_기타_기타_인원 has 4167 (83.5%) zerosZeros
기타차량 대수 has 4651 (93.2%) zerosZeros

Reproduction

Analysis started2023-12-12 07:41:37.193178
Analysis finished2023-12-12 07:41:37.849607
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계연도
Real number (ℝ)

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.3816
Minimum1990
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:37.903251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile2012
Q12012
median2013
Q32015
95-th percentile2021
Maximum2023
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0269553
Coefficient of variation (CV)0.0015026722
Kurtosis1.2280371
Mean2014.3816
Median Absolute Deviation (MAD)1
Skewness1.1393531
Sum10051764
Variance9.1624582
MonotonicityIncreasing
2023-12-12T16:41:38.018028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2012 1608
32.2%
2013 1407
28.2%
2014 563
 
11.3%
2019 396
 
7.9%
2015 174
 
3.5%
2020 173
 
3.5%
2021 172
 
3.4%
2016 132
 
2.6%
2018 121
 
2.4%
2017 108
 
2.2%
Other values (5) 136
 
2.7%
ValueCountFrequency (%)
1990 1
 
< 0.1%
2000 1
 
< 0.1%
2011 5
 
0.1%
2012 1608
32.2%
2013 1407
28.2%
2014 563
 
11.3%
2015 174
 
3.5%
2016 132
 
2.6%
2017 108
 
2.2%
2018 121
 
2.4%
ValueCountFrequency (%)
2023 80
 
1.6%
2022 49
 
1.0%
2021 172
 
3.4%
2020 173
 
3.5%
2019 396
7.9%
2018 121
 
2.4%
2017 108
 
2.2%
2016 132
 
2.6%
2015 174
 
3.5%
2014 563
11.3%

의용소방대
Text

Distinct2815
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size39.1 KiB
2023-12-12T16:41:38.331151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length16.178758
Min length1

Characters and Unicode

Total characters80732
Distinct characters324
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1345 ?
Unique (%)27.0%

Sample

1st row공주소방서 반포면 남성대
2nd row영광소방서 홍농읍 남성대
3rd row포천소방서 영평의용소방대
4th row태안소방서 근흥면 여성의용소방대
5th row광양소방서 광양시 중부남성의용소방대
ValueCountFrequency (%)
여성의용소방대 470
 
3.8%
의용소방대 342
 
2.8%
남성의용소방대 281
 
2.3%
보성소방서 184
 
1.5%
정읍소방서 168
 
1.4%
상주소방서 160
 
1.3%
여성대 138
 
1.1%
부여소방서 122
 
1.0%
익산소방서 120
 
1.0%
남성대 114
 
0.9%
Other values (2497) 10248
83.0%
2023-12-12T16:41:38.756162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 9942
 
12.3%
방 9881
 
12.2%
7418
 
9.2%
서 6024
 
7.5%
대 5541
 
6.9%
의 4438
 
5.5%
용 4303
 
5.3%
성 4100
 
5.1%
남 2265
 
2.8%
여 1893
 
2.3%
Other values (314) 24927
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73134
90.6%
Space Separator 7418
 
9.2%
Decimal Number 81
 
0.1%
Open Punctuation 49
 
0.1%
Close Punctuation 49
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 9942
13.6%
방 9881
13.5%
서 6024
 
8.2%
대 5541
 
7.6%
의 4438
 
6.1%
용 4303
 
5.9%
성 4100
 
5.6%
남 2265
 
3.1%
여 1893
 
2.6%
면 1578
 
2.2%
Other values (300) 23169
31.7%
Decimal Number
ValueCountFrequency (%)
1 23
28.4%
2 18
22.2%
3 10
12.3%
4 9
 
11.1%
5 9
 
11.1%
6 4
 
4.9%
7 4
 
4.9%
8 2
 
2.5%
9 1
 
1.2%
0 1
 
1.2%
Space Separator
ValueCountFrequency (%)
7418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73134
90.6%
Common 7597
 
9.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 9942
13.6%
방 9881
13.5%
서 6024
 
8.2%
대 5541
 
7.6%
의 4438
 
6.1%
용 4303
 
5.9%
성 4100
 
5.6%
남 2265
 
3.1%
여 1893
 
2.6%
면 1578
 
2.2%
Other values (300) 23169
31.7%
Common
ValueCountFrequency (%)
7418
97.6%
( 49
 
0.6%
) 49
 
0.6%
1 23
 
0.3%
2 18
 
0.2%
3 10
 
0.1%
4 9
 
0.1%
5 9
 
0.1%
6 4
 
0.1%
7 4
 
0.1%
Other values (3) 4
 
0.1%
Latin
ValueCountFrequency (%)
l 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73134
90.6%
ASCII 7598
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 9942
13.6%
방 9881
13.5%
서 6024
 
8.2%
대 5541
 
7.6%
의 4438
 
6.1%
용 4303
 
5.9%
성 4100
 
5.6%
남 2265
 
3.1%
여 1893
 
2.6%
면 1578
 
2.2%
Other values (300) 23169
31.7%
ASCII
ValueCountFrequency (%)
7418
97.6%
( 49
 
0.6%
) 49
 
0.6%
1 23
 
0.3%
2 18
 
0.2%
3 10
 
0.1%
4 9
 
0.1%
5 9
 
0.1%
6 4
 
0.1%
7 4
 
0.1%
Other values (4) 5
 
0.1%

정원
Real number (ℝ)

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.149098
Minimum0
Maximum174
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:38.913758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q120
median30
Q330
95-th percentile50
Maximum174
Range174
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.023245
Coefficient of variation (CV)0.36562438
Kurtosis6.468886
Mean30.149098
Median Absolute Deviation (MAD)10
Skewness1.444269
Sum150444
Variance121.51194
MonotonicityNot monotonic
2023-12-12T16:41:39.061774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 1847
37.0%
20 1415
28.4%
25 469
 
9.4%
40 432
 
8.7%
50 411
 
8.2%
60 205
 
4.1%
35 69
 
1.4%
15 55
 
1.1%
0 20
 
0.4%
26 18
 
0.4%
Other values (16) 49
 
1.0%
ValueCountFrequency (%)
0 20
 
0.4%
1 1
 
< 0.1%
6 2
 
< 0.1%
10 8
 
0.2%
14 1
 
< 0.1%
15 55
 
1.1%
17 3
 
0.1%
19 3
 
0.1%
20 1415
28.4%
21 1
 
< 0.1%
ValueCountFrequency (%)
174 1
 
< 0.1%
60 205
 
4.1%
50 411
 
8.2%
49 1
 
< 0.1%
41 1
 
< 0.1%
40 432
 
8.7%
35 69
 
1.4%
32 1
 
< 0.1%
31 3
 
0.1%
30 1847
37.0%

현재인원
Real number (ℝ)

Distinct61
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.83006
Minimum0
Maximum178
Zeros19
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:39.233997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q120
median24
Q330
95-th percentile49
Maximum178
Range178
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.191805
Coefficient of variation (CV)0.3945715
Kurtosis11.183964
Mean25.83006
Median Absolute Deviation (MAD)5
Skewness1.7635432
Sum128892
Variance103.8729
MonotonicityNot monotonic
2023-12-12T16:41:39.400706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 683
 
13.7%
30 493
 
9.9%
19 295
 
5.9%
25 256
 
5.1%
22 206
 
4.1%
18 198
 
4.0%
24 193
 
3.9%
29 187
 
3.7%
27 186
 
3.7%
21 185
 
3.7%
Other values (51) 2108
42.2%
ValueCountFrequency (%)
0 19
0.4%
1 1
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
0.1%
7 3
 
0.1%
8 8
 
0.2%
9 19
0.4%
10 21
0.4%
11 40
0.8%
ValueCountFrequency (%)
178 1
 
< 0.1%
66 4
 
0.1%
60 29
0.6%
59 16
0.3%
58 4
 
0.1%
57 7
 
0.1%
56 10
 
0.2%
55 15
0.3%
54 8
 
0.2%
53 9
 
0.2%

성별_남자
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.213427
Minimum0
Maximum448
Zeros1868
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:39.565684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q329
95-th percentile45
Maximum448
Range448
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.927985
Coefficient of variation (CV)1.0415117
Kurtosis109.71204
Mean17.213427
Median Absolute Deviation (MAD)10
Skewness5.5507695
Sum85895
Variance321.41265
MonotonicityNot monotonic
2023-12-12T16:41:39.708813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1868
37.4%
30 578
 
11.6%
20 287
 
5.8%
29 216
 
4.3%
25 185
 
3.7%
28 169
 
3.4%
24 129
 
2.6%
27 125
 
2.5%
19 116
 
2.3%
26 112
 
2.2%
Other values (60) 1205
24.1%
ValueCountFrequency (%)
0 1868
37.4%
1 5
 
0.1%
2 3
 
0.1%
3 4
 
0.1%
4 5
 
0.1%
5 10
 
0.2%
6 5
 
0.1%
7 4
 
0.1%
8 2
 
< 0.1%
9 10
 
0.2%
ValueCountFrequency (%)
448 1
 
< 0.1%
361 1
 
< 0.1%
317 1
 
< 0.1%
186 1
 
< 0.1%
66 1
 
< 0.1%
64 1
 
< 0.1%
63 3
 
0.1%
62 3
 
0.1%
61 2
 
< 0.1%
60 44
0.9%

성별_여자
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2501002
Minimum0
Maximum283
Zeros3169
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:39.856006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile40
Maximum283
Range283
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.024533
Coefficient of variation (CV)1.6242563
Kurtosis43.369884
Mean9.2501002
Median Absolute Deviation (MAD)0
Skewness3.6110669
Sum46158
Variance225.7366
MonotonicityNot monotonic
2023-12-12T16:41:40.040756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3169
63.5%
20 424
 
8.5%
19 112
 
2.2%
30 105
 
2.1%
25 79
 
1.6%
18 76
 
1.5%
17 65
 
1.3%
50 64
 
1.3%
22 59
 
1.2%
21 56
 
1.1%
Other values (55) 781
 
15.7%
ValueCountFrequency (%)
0 3169
63.5%
1 21
 
0.4%
2 12
 
0.2%
3 8
 
0.2%
4 7
 
0.1%
5 15
 
0.3%
6 9
 
0.2%
7 9
 
0.2%
8 9
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
283 1
< 0.1%
272 1
< 0.1%
139 1
< 0.1%
138 1
< 0.1%
124 1
< 0.1%
60 2
< 0.1%
59 2
< 0.1%
57 1
< 0.1%
56 2
< 0.1%
55 2
< 0.1%

연령_2030
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17855711
Minimum0
Maximum60
Zeros4522
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:40.167576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum60
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2389342
Coefficient of variation (CV)6.9385879
Kurtosis1203.484
Mean0.17855711
Median Absolute Deviation (MAD)0
Skewness29.011087
Sum891
Variance1.534958
MonotonicityNot monotonic
2023-12-12T16:41:40.302752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 4522
90.6%
1 327
 
6.6%
2 80
 
1.6%
3 25
 
0.5%
4 15
 
0.3%
6 6
 
0.1%
5 4
 
0.1%
11 2
 
< 0.1%
10 2
 
< 0.1%
30 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0 4522
90.6%
1 327
 
6.6%
2 80
 
1.6%
3 25
 
0.5%
4 15
 
0.3%
5 4
 
0.1%
6 6
 
0.1%
7 1
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
60 1
 
< 0.1%
30 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
14 1
 
< 0.1%
11 2
 
< 0.1%
10 2
 
< 0.1%
7 1
 
< 0.1%
6 6
0.1%

연령_3140
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.359519
Minimum0
Maximum81
Zeros1979
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:40.443249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum81
Range81
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6661388
Coefficient of variation (CV)1.5537653
Kurtosis74.334456
Mean2.359519
Median Absolute Deviation (MAD)1
Skewness5.464424
Sum11774
Variance13.440574
MonotonicityNot monotonic
2023-12-12T16:41:40.573810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 1979
39.7%
1 754
 
15.1%
2 611
 
12.2%
3 462
 
9.3%
4 324
 
6.5%
5 216
 
4.3%
6 167
 
3.3%
7 122
 
2.4%
8 92
 
1.8%
10 60
 
1.2%
Other values (22) 203
 
4.1%
ValueCountFrequency (%)
0 1979
39.7%
1 754
 
15.1%
2 611
 
12.2%
3 462
 
9.3%
4 324
 
6.5%
5 216
 
4.3%
6 167
 
3.3%
7 122
 
2.4%
8 92
 
1.8%
9 56
 
1.1%
ValueCountFrequency (%)
81 1
 
< 0.1%
69 1
 
< 0.1%
38 1
 
< 0.1%
35 1
 
< 0.1%
33 1
 
< 0.1%
32 3
0.1%
29 1
 
< 0.1%
25 5
0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%

연령_4145
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5294589
Minimum0
Maximum109
Zeros1229
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:40.704695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile14
Maximum109
Range109
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1276191
Coefficient of variation (CV)1.13206
Kurtosis73.104669
Mean4.5294589
Median Absolute Deviation (MAD)3
Skewness4.7240498
Sum22602
Variance26.292477
MonotonicityNot monotonic
2023-12-12T16:41:40.823378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1229
24.6%
2 490
 
9.8%
3 458
 
9.2%
4 435
 
8.7%
5 377
 
7.6%
1 371
 
7.4%
6 299
 
6.0%
7 286
 
5.7%
8 207
 
4.1%
9 175
 
3.5%
Other values (25) 663
13.3%
ValueCountFrequency (%)
0 1229
24.6%
1 371
 
7.4%
2 490
 
9.8%
3 458
 
9.2%
4 435
 
8.7%
5 377
 
7.6%
6 299
 
6.0%
7 286
 
5.7%
8 207
 
4.1%
9 175
 
3.5%
ValueCountFrequency (%)
109 2
< 0.1%
60 1
 
< 0.1%
39 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
32 3
0.1%
29 1
 
< 0.1%
27 3
0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%

연령_4650
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8923848
Minimum0
Maximum168
Zeros1027
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:40.979475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile15
Maximum168
Range168
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0214291
Coefficient of variation (CV)1.0219002
Kurtosis183.8636
Mean5.8923848
Median Absolute Deviation (MAD)3
Skewness8.5027306
Sum29403
Variance36.257609
MonotonicityNot monotonic
2023-12-12T16:41:41.111197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 1027
20.6%
5 461
9.2%
6 412
8.3%
4 378
 
7.6%
3 372
 
7.5%
8 371
 
7.4%
7 348
 
7.0%
9 255
 
5.1%
2 239
 
4.8%
10 230
 
4.6%
Other values (24) 897
18.0%
ValueCountFrequency (%)
0 1027
20.6%
1 115
 
2.3%
2 239
 
4.8%
3 372
 
7.5%
4 378
 
7.6%
5 461
9.2%
6 412
8.3%
7 348
 
7.0%
8 371
 
7.4%
9 255
 
5.1%
ValueCountFrequency (%)
168 1
 
< 0.1%
134 1
 
< 0.1%
115 1
 
< 0.1%
107 1
 
< 0.1%
60 1
 
< 0.1%
33 1
 
< 0.1%
28 2
< 0.1%
26 2
< 0.1%
25 2
< 0.1%
24 3
0.1%

연령_5155
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8122244
Minimum0
Maximum217
Zeros1089
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:41.229314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q39
95-th percentile14
Maximum217
Range217
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.5155819
Coefficient of variation (CV)1.1210135
Kurtosis367.42956
Mean5.8122244
Median Absolute Deviation (MAD)4
Skewness13.215554
Sum29003
Variance42.452807
MonotonicityNot monotonic
2023-12-12T16:41:41.339137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 1089
21.8%
6 413
 
8.3%
7 387
 
7.8%
5 373
 
7.5%
8 350
 
7.0%
4 346
 
6.9%
3 319
 
6.4%
9 303
 
6.1%
10 266
 
5.3%
2 235
 
4.7%
Other values (22) 909
18.2%
ValueCountFrequency (%)
0 1089
21.8%
1 165
 
3.3%
2 235
 
4.7%
3 319
 
6.4%
4 346
 
6.9%
5 373
 
7.5%
6 413
 
8.3%
7 387
 
7.8%
8 350
 
7.0%
9 303
 
6.1%
ValueCountFrequency (%)
217 1
 
< 0.1%
181 1
 
< 0.1%
141 1
 
< 0.1%
91 1
 
< 0.1%
40 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
23 5
0.1%
22 8
0.2%

연령_5660
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9260521
Minimum0
Maximum98
Zeros1871
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:41.463773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile10
Maximum98
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9839252
Coefficient of variation (CV)1.361536
Kurtosis131.72693
Mean2.9260521
Median Absolute Deviation (MAD)2
Skewness6.823485
Sum14601
Variance15.87166
MonotonicityNot monotonic
2023-12-12T16:41:41.570503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 1871
37.5%
1 535
 
10.7%
2 438
 
8.8%
3 427
 
8.6%
4 357
 
7.2%
5 332
 
6.7%
6 302
 
6.1%
7 185
 
3.7%
8 180
 
3.6%
9 104
 
2.1%
Other values (16) 259
 
5.2%
ValueCountFrequency (%)
0 1871
37.5%
1 535
 
10.7%
2 438
 
8.8%
3 427
 
8.6%
4 357
 
7.2%
5 332
 
6.7%
6 302
 
6.1%
7 185
 
3.7%
8 180
 
3.6%
9 104
 
2.1%
ValueCountFrequency (%)
98 1
 
< 0.1%
93 1
 
< 0.1%
66 1
 
< 0.1%
44 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
19 2
 
< 0.1%
18 2
 
< 0.1%
17 4
0.1%
16 6
0.1%

연령_6165
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66312625
Minimum0
Maximum94
Zeros3772
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:41.950909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum94
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0694843
Coefficient of variation (CV)3.1207998
Kurtosis873.15784
Mean0.66312625
Median Absolute Deviation (MAD)0
Skewness21.440401
Sum3309
Variance4.2827651
MonotonicityNot monotonic
2023-12-12T16:41:42.047163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 3772
75.6%
1 444
 
8.9%
2 299
 
6.0%
3 182
 
3.6%
4 109
 
2.2%
5 77
 
1.5%
6 48
 
1.0%
8 21
 
0.4%
7 18
 
0.4%
9 8
 
0.2%
Other values (5) 12
 
0.2%
ValueCountFrequency (%)
0 3772
75.6%
1 444
 
8.9%
2 299
 
6.0%
3 182
 
3.6%
4 109
 
2.2%
5 77
 
1.5%
6 48
 
1.0%
7 18
 
0.4%
8 21
 
0.4%
9 8
 
0.2%
ValueCountFrequency (%)
94 1
 
< 0.1%
45 1
 
< 0.1%
12 2
 
< 0.1%
11 3
 
0.1%
10 5
 
0.1%
9 8
 
0.2%
8 21
 
0.4%
7 18
 
0.4%
6 48
1.0%
5 77
1.5%

연령_66
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.015430862
Minimum0
Maximum16
Zeros4959
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:42.151947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29487906
Coefficient of variation (CV)19.109695
Kurtosis1823.4746
Mean0.015430862
Median Absolute Deviation (MAD)0
Skewness37.466733
Sum77
Variance0.086953663
MonotonicityNot monotonic
2023-12-12T16:41:42.272942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 4959
99.4%
1 15
 
0.3%
3 7
 
0.1%
2 5
 
0.1%
4 2
 
< 0.1%
16 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 4959
99.4%
1 15
 
0.3%
2 5
 
0.1%
3 7
 
0.1%
4 2
 
< 0.1%
7 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
7 1
 
< 0.1%
4 2
 
< 0.1%
3 7
 
0.1%
2 5
 
0.1%
1 15
 
0.3%
0 4959
99.4%

의소대지원현황_행정지원횟수_차량지원
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.019038076
Minimum0
Maximum10
Zeros4954
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:42.388782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.27055372
Coefficient of variation (CV)14.21119
Kurtosis584.13778
Mean0.019038076
Median Absolute Deviation (MAD)0
Skewness20.980336
Sum95
Variance0.073199315
MonotonicityNot monotonic
2023-12-12T16:41:42.500349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 4954
99.3%
3 17
 
0.3%
1 10
 
0.2%
2 6
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 4954
99.3%
1 10
 
0.2%
2 6
 
0.1%
3 17
 
0.3%
4 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
3 17
 
0.3%
2 6
 
0.1%
1 10
 
0.2%
0 4954
99.3%

의소대지원현황_행정지원횟수_장소제공
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.073547094
Minimum0
Maximum12
Zeros4909
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:42.637672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73701878
Coefficient of variation (CV)10.021045
Kurtosis166.11597
Mean0.073547094
Median Absolute Deviation (MAD)0
Skewness12.373027
Sum367
Variance0.54319668
MonotonicityNot monotonic
2023-12-12T16:41:42.783651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4909
98.4%
1 26
 
0.5%
3 18
 
0.4%
11 13
 
0.3%
6 10
 
0.2%
4 9
 
0.2%
10 2
 
< 0.1%
8 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 4909
98.4%
1 26
 
0.5%
3 18
 
0.4%
4 9
 
0.2%
6 10
 
0.2%
8 2
 
< 0.1%
10 2
 
< 0.1%
11 13
 
0.3%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 13
 
0.3%
10 2
 
< 0.1%
8 2
 
< 0.1%
6 10
 
0.2%
4 9
 
0.2%
3 18
 
0.4%
1 26
 
0.5%
0 4909
98.4%

의소대지원현황_행정지원횟수_간담회
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.084168337
Minimum0
Maximum12
Zeros4876
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:42.895572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74468105
Coefficient of variation (CV)8.8475201
Kurtosis150.88611
Mean0.084168337
Median Absolute Deviation (MAD)0
Skewness11.633438
Sum420
Variance0.55454987
MonotonicityNot monotonic
2023-12-12T16:41:43.028894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4876
97.7%
1 46
 
0.9%
3 20
 
0.4%
6 17
 
0.3%
11 13
 
0.3%
2 9
 
0.2%
4 5
 
0.1%
5 2
 
< 0.1%
9 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 4876
97.7%
1 46
 
0.9%
2 9
 
0.2%
3 20
 
0.4%
4 5
 
0.1%
5 2
 
< 0.1%
6 17
 
0.3%
9 1
 
< 0.1%
11 13
 
0.3%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 13
 
0.3%
9 1
 
< 0.1%
6 17
 
0.3%
5 2
 
< 0.1%
4 5
 
0.1%
3 20
 
0.4%
2 9
 
0.2%
1 46
 
0.9%
0 4876
97.7%

의소대지원현황_행정지원횟수_기타
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017835671
Minimum0
Maximum8
Zeros4929
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:43.148711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20291157
Coefficient of variation (CV)11.376727
Kurtosis609.4801
Mean0.017835671
Median Absolute Deviation (MAD)0
Skewness20.448897
Sum89
Variance0.041173106
MonotonicityNot monotonic
2023-12-12T16:41:43.295966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4929
98.8%
1 46
 
0.9%
2 9
 
0.2%
3 4
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 4929
98.8%
1 46
 
0.9%
2 9
 
0.2%
3 4
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
5 1
 
< 0.1%
3 4
 
0.1%
2 9
 
0.2%
1 46
 
0.9%
0 4929
98.8%

의소대지원현황_단체별예산지원액_광역시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.1 KiB
0
4990 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4990
100.0%

Length

2023-12-12T16:41:43.444917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:41:43.563967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4990
100.0%

의소대지원현황_단체별예산지원액_시
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.42104
Minimum0
Maximum2000000
Zeros4954
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:43.667339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2000000
Range2000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28535.111
Coefficient of variation (CV)60.529989
Kurtosis4836.5633
Mean471.42104
Median Absolute Deviation (MAD)0
Skewness69.127138
Sum2352391
Variance8.1425254 × 108
MonotonicityNot monotonic
2023-12-12T16:41:43.833815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4954
99.3%
500 7
 
0.1%
2550 6
 
0.1%
1 5
 
0.1%
4250 5
 
0.1%
800 4
 
0.1%
2000000 1
 
< 0.1%
1788 1
 
< 0.1%
8993 1
 
< 0.1%
7000 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 4954
99.3%
1 5
 
0.1%
400 1
 
< 0.1%
500 7
 
0.1%
800 4
 
0.1%
1788 1
 
< 0.1%
2550 6
 
0.1%
4250 5
 
0.1%
6705 1
 
< 0.1%
7000 1
 
< 0.1%
ValueCountFrequency (%)
2000000 1
 
< 0.1%
250000 1
 
< 0.1%
20000 1
 
< 0.1%
14250 1
 
< 0.1%
8993 1
 
< 0.1%
7000 1
 
< 0.1%
6705 1
 
< 0.1%
4250 5
0.1%
2550 6
0.1%
1788 1
 
< 0.1%

의소대지원현황_단체별예산지원액_군
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11883.996
Minimum0
Maximum25000000
Zeros4943
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:44.020581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25000000
Range25000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation421362.5
Coefficient of variation (CV)35.456298
Kurtosis2801.6151
Mean11883.996
Median Absolute Deviation (MAD)0
Skewness51.066531
Sum59301139
Variance1.7754636 × 1011
MonotonicityNot monotonic
2023-12-12T16:41:44.170701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 4943
99.1%
40 20
 
0.4%
400000 12
 
0.2%
2400000 6
 
0.1%
1 2
 
< 0.1%
7000 1
 
< 0.1%
14847 1
 
< 0.1%
2500 1
 
< 0.1%
25000 1
 
< 0.1%
25000000 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 4943
99.1%
1 2
 
< 0.1%
40 20
 
0.4%
2500 1
 
< 0.1%
7000 1
 
< 0.1%
14847 1
 
< 0.1%
25000 1
 
< 0.1%
50990 1
 
< 0.1%
400000 12
 
0.2%
2400000 6
 
0.1%
ValueCountFrequency (%)
25000000 1
 
< 0.1%
15000000 1
 
< 0.1%
2400000 6
 
0.1%
400000 12
0.2%
50990 1
 
< 0.1%
25000 1
 
< 0.1%
14847 1
 
< 0.1%
7000 1
 
< 0.1%
2500 1
 
< 0.1%
40 20
0.4%

예산현황_교육기관
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124681.71
Minimum0
Maximum57669000
Zeros4892
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:44.351549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57669000
Range57669000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1548187.2
Coefficient of variation (CV)12.417115
Kurtosis471.31664
Mean124681.71
Median Absolute Deviation (MAD)0
Skewness18.083558
Sum6.2216175 × 108
Variance2.3968835 × 1012
MonotonicityNot monotonic
2023-12-12T16:41:44.524807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4892
98.0%
10401 17
 
0.3%
12802100 10
 
0.2%
21556000 9
 
0.2%
1000 6
 
0.1%
16484 3
 
0.1%
17023800 2
 
< 0.1%
1 2
 
< 0.1%
11957760 2
 
< 0.1%
433965 2
 
< 0.1%
Other values (42) 45
 
0.9%
ValueCountFrequency (%)
0 4892
98.0%
1 2
 
< 0.1%
223 1
 
< 0.1%
1000 6
 
0.1%
5033 1
 
< 0.1%
7388 1
 
< 0.1%
7651 1
 
< 0.1%
10310 1
 
< 0.1%
10401 17
 
0.3%
10519 1
 
< 0.1%
ValueCountFrequency (%)
57669000 1
 
< 0.1%
21556000 9
0.2%
17023800 2
 
< 0.1%
13639440 1
 
< 0.1%
12802100 10
0.2%
12795100 2
 
< 0.1%
12379930 2
 
< 0.1%
12372930 1
 
< 0.1%
11957760 2
 
< 0.1%
11535590 1
 
< 0.1%

예산현황_확보액_본예산
Real number (ℝ)

ZEROS 

Distinct180
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271855.04
Minimum0
Maximum75540000
Zeros4656
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:44.679527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13349
Maximum75540000
Range75540000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2724332.5
Coefficient of variation (CV)10.021269
Kurtosis304.76993
Mean271855.04
Median Absolute Deviation (MAD)0
Skewness15.399028
Sum1.3565566 × 109
Variance7.4219876 × 1012
MonotonicityNot monotonic
2023-12-12T16:41:44.866832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4656
93.3%
374185 17
 
0.3%
10293 17
 
0.3%
13349 15
 
0.3%
12511860 13
 
0.3%
14427 12
 
0.2%
20572 10
 
0.2%
15233550 9
 
0.2%
240610 9
 
0.2%
21556000 9
 
0.2%
Other values (170) 223
 
4.5%
ValueCountFrequency (%)
0 4656
93.3%
1 2
 
< 0.1%
10 1
 
< 0.1%
141 1
 
< 0.1%
223 1
 
< 0.1%
1000 5
 
0.1%
2455 1
 
< 0.1%
4299 1
 
< 0.1%
5033 1
 
< 0.1%
5385 1
 
< 0.1%
ValueCountFrequency (%)
75540000 1
< 0.1%
61495000 1
< 0.1%
58308000 1
< 0.1%
57669000 1
< 0.1%
50305000 1
< 0.1%
42518000 1
< 0.1%
30467100 2
< 0.1%
29425500 1
< 0.1%
25389250 2
< 0.1%
24521250 1
< 0.1%

예산현황_확보액_추경
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3904.1353
Minimum-11719
Maximum5254000
Zeros4864
Zeros (%)97.5%
Negative1
Negative (%)< 0.1%
Memory size44.0 KiB
2023-12-12T16:41:45.058962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-11719
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5254000
Range5265719
Interquartile range (IQR)0

Descriptive statistics

Standard deviation117031.82
Coefficient of variation (CV)29.976374
Kurtosis1698.8205
Mean3904.1353
Median Absolute Deviation (MAD)0
Skewness40.808916
Sum19481635
Variance1.3696446 × 1010
MonotonicityNot monotonic
2023-12-12T16:41:45.248732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4864
97.5%
108 17
 
0.3%
632 15
 
0.3%
155610 13
 
0.3%
1027 10
 
0.2%
1511 4
 
0.1%
103740 3
 
0.1%
150423 3
 
0.1%
207480 2
 
< 0.1%
119301 2
 
< 0.1%
Other values (50) 57
 
1.1%
ValueCountFrequency (%)
-11719 1
 
< 0.1%
0 4864
97.5%
108 17
 
0.3%
476 1
 
< 0.1%
632 15
 
0.3%
1027 10
 
0.2%
1284 1
 
< 0.1%
1295 1
 
< 0.1%
1400 1
 
< 0.1%
1430 1
 
< 0.1%
ValueCountFrequency (%)
5254000 1
 
< 0.1%
4903000 1
 
< 0.1%
4000000 1
 
< 0.1%
207480 2
 
< 0.1%
182610 1
 
< 0.1%
165984 1
 
< 0.1%
161535 1
 
< 0.1%
155610 13
0.3%
150423 3
 
0.1%
145236 2
 
< 0.1%

예산현황_집행액
Real number (ℝ)

SKEWED  ZEROS 

Distinct165
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130787.23
Minimum0
Maximum63559850
Zeros4751
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:45.418821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum63559850
Range63559850
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1892360.1
Coefficient of variation (CV)14.468997
Kurtosis630.89619
Mean130787.23
Median Absolute Deviation (MAD)0
Skewness22.886711
Sum6.5262828 × 108
Variance3.5810266 × 1012
MonotonicityNot monotonic
2023-12-12T16:41:45.577264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4751
95.2%
374185 17
 
0.3%
13981 15
 
0.3%
21599 10
 
0.2%
240610 9
 
0.2%
21556000 9
 
0.2%
1000 5
 
0.1%
25213 4
 
0.1%
16035 3
 
0.1%
375185 3
 
0.1%
Other values (155) 164
 
3.3%
ValueCountFrequency (%)
0 4751
95.2%
1 1
 
< 0.1%
223 1
 
< 0.1%
570 1
 
< 0.1%
1000 5
 
0.1%
2455 1
 
< 0.1%
3041 1
 
< 0.1%
4204 1
 
< 0.1%
4299 1
 
< 0.1%
4538 1
 
< 0.1%
ValueCountFrequency (%)
63559850 1
 
< 0.1%
57669000 1
 
< 0.1%
55208000 1
 
< 0.1%
38078600 1
 
< 0.1%
21556000 9
0.2%
14817250 1
 
< 0.1%
14098100 1
 
< 0.1%
11869390 1
 
< 0.1%
11847000 1
 
< 0.1%
10582240 1
 
< 0.1%

예산현황_잔액
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1053.2064
Minimum0
Maximum4439400
Zeros4951
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:45.726798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4439400
Range4439400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63073.592
Coefficient of variation (CV)59.887209
Kurtosis4917.5298
Mean1053.2064
Median Absolute Deviation (MAD)0
Skewness69.894452
Sum5255500
Variance3.978278 × 109
MonotonicityNot monotonic
2023-12-12T16:41:45.905003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 4951
99.2%
1 4
 
0.1%
2448 3
 
0.1%
246386 2
 
< 0.1%
14 2
 
< 0.1%
2150 1
 
< 0.1%
4439400 1
 
< 0.1%
5377 1
 
< 0.1%
11895 1
 
< 0.1%
7078 1
 
< 0.1%
Other values (23) 23
 
0.5%
ValueCountFrequency (%)
0 4951
99.2%
1 4
 
0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
13 1
 
< 0.1%
14 2
 
< 0.1%
16 1
 
< 0.1%
43 1
 
< 0.1%
66 1
 
< 0.1%
ValueCountFrequency (%)
4439400 1
< 0.1%
246386 2
< 0.1%
142882 1
< 0.1%
33000 1
< 0.1%
25072 1
< 0.1%
16343 1
< 0.1%
14673 1
< 0.1%
12280 1
< 0.1%
11946 1
< 0.1%
11895 1
< 0.1%

출동실적_화재진압_횟수
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4214429
Minimum0
Maximum169
Zeros3164
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:46.066307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum169
Range169
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6443077
Coefficient of variation (CV)3.2673193
Kurtosis683.89332
Mean1.4214429
Median Absolute Deviation (MAD)0
Skewness21.15175
Sum7093
Variance21.569594
MonotonicityNot monotonic
2023-12-12T16:41:46.222835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 3164
63.4%
1 569
 
11.4%
2 358
 
7.2%
3 250
 
5.0%
4 179
 
3.6%
5 129
 
2.6%
6 90
 
1.8%
7 61
 
1.2%
8 40
 
0.8%
9 36
 
0.7%
Other values (21) 114
 
2.3%
ValueCountFrequency (%)
0 3164
63.4%
1 569
 
11.4%
2 358
 
7.2%
3 250
 
5.0%
4 179
 
3.6%
5 129
 
2.6%
6 90
 
1.8%
7 61
 
1.2%
8 40
 
0.8%
9 36
 
0.7%
ValueCountFrequency (%)
169 1
 
< 0.1%
165 1
 
< 0.1%
85 1
 
< 0.1%
65 1
 
< 0.1%
61 1
 
< 0.1%
49 1
 
< 0.1%
26 3
0.1%
23 3
0.1%
22 1
 
< 0.1%
21 2
< 0.1%

출동실적_화재진압_인원
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.524649
Minimum0
Maximum896
Zeros3181
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:46.439158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile67
Maximum896
Range896
Interquartile range (IQR)13

Descriptive statistics

Standard deviation35.94452
Coefficient of variation (CV)2.6577044
Kurtosis162.86101
Mean13.524649
Median Absolute Deviation (MAD)0
Skewness9.1117122
Sum67488
Variance1292.0085
MonotonicityNot monotonic
2023-12-12T16:41:46.611233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3181
63.7%
10 83
 
1.7%
15 66
 
1.3%
5 60
 
1.2%
7 55
 
1.1%
17 52
 
1.0%
8 47
 
0.9%
12 47
 
0.9%
9 43
 
0.9%
11 43
 
0.9%
Other values (160) 1313
26.3%
ValueCountFrequency (%)
0 3181
63.7%
1 30
 
0.6%
2 20
 
0.4%
3 32
 
0.6%
4 41
 
0.8%
5 60
 
1.2%
6 39
 
0.8%
7 55
 
1.1%
8 47
 
0.9%
9 43
 
0.9%
ValueCountFrequency (%)
896 1
< 0.1%
885 1
< 0.1%
416 1
< 0.1%
403 1
< 0.1%
384 2
< 0.1%
360 1
< 0.1%
329 1
< 0.1%
325 1
< 0.1%
312 1
< 0.1%
306 1
< 0.1%

출동실적_인명구조및구급_횟수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18917836
Minimum0
Maximum34
Zeros4626
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:46.746547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1570776
Coefficient of variation (CV)6.1163318
Kurtosis322.50179
Mean0.18917836
Median Absolute Deviation (MAD)0
Skewness14.786531
Sum944
Variance1.3388285
MonotonicityNot monotonic
2023-12-12T16:41:46.872082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 4626
92.7%
1 189
 
3.8%
2 76
 
1.5%
3 30
 
0.6%
4 27
 
0.5%
5 12
 
0.2%
6 8
 
0.2%
10 5
 
0.1%
8 4
 
0.1%
12 2
 
< 0.1%
Other values (9) 11
 
0.2%
ValueCountFrequency (%)
0 4626
92.7%
1 189
 
3.8%
2 76
 
1.5%
3 30
 
0.6%
4 27
 
0.5%
5 12
 
0.2%
6 8
 
0.2%
7 1
 
< 0.1%
8 4
 
0.1%
10 5
 
0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
32 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
10 5
0.1%

출동실적_인명구조및구급_인원
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4326653
Minimum0
Maximum190
Zeros4629
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:47.046255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum190
Range190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.7416813
Coefficient of variation (CV)5.4036914
Kurtosis156.09975
Mean1.4326653
Median Absolute Deviation (MAD)0
Skewness10.070958
Sum7149
Variance59.933629
MonotonicityNot monotonic
2023-12-12T16:41:47.233894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4629
92.8%
5 23
 
0.5%
10 20
 
0.4%
1 18
 
0.4%
2 16
 
0.3%
3 15
 
0.3%
8 15
 
0.3%
9 13
 
0.3%
17 13
 
0.3%
6 12
 
0.2%
Other values (58) 216
 
4.3%
ValueCountFrequency (%)
0 4629
92.8%
1 18
 
0.4%
2 16
 
0.3%
3 15
 
0.3%
4 11
 
0.2%
5 23
 
0.5%
6 12
 
0.2%
7 12
 
0.2%
8 15
 
0.3%
9 13
 
0.3%
ValueCountFrequency (%)
190 1
< 0.1%
170 1
< 0.1%
100 1
< 0.1%
98 2
< 0.1%
91 1
< 0.1%
82 1
< 0.1%
78 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%
70 1
< 0.1%

출동실적_화재경계근무_횟수
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8152305
Minimum0
Maximum227
Zeros3929
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:47.386302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.7505151
Coefficient of variation (CV)4.2697141
Kurtosis222.60466
Mean1.8152305
Median Absolute Deviation (MAD)0
Skewness11.922158
Sum9058
Variance60.070484
MonotonicityNot monotonic
2023-12-12T16:41:47.511200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3929
78.7%
1 174
 
3.5%
2 168
 
3.4%
4 110
 
2.2%
5 107
 
2.1%
3 107
 
2.1%
6 60
 
1.2%
8 46
 
0.9%
16 41
 
0.8%
7 33
 
0.7%
Other values (46) 215
 
4.3%
ValueCountFrequency (%)
0 3929
78.7%
1 174
 
3.5%
2 168
 
3.4%
3 107
 
2.1%
4 110
 
2.2%
5 107
 
2.1%
6 60
 
1.2%
7 33
 
0.7%
8 46
 
0.9%
9 11
 
0.2%
ValueCountFrequency (%)
227 1
< 0.1%
121 2
< 0.1%
120 2
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
95 1
< 0.1%
93 1
< 0.1%
92 1
< 0.1%
89 1
< 0.1%
73 1
< 0.1%

출동실적_화재경계근무_인원
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.988176
Minimum0
Maximum800
Zeros3941
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:47.970040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66.55
Maximum800
Range800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.183403
Coefficient of variation (CV)4.0947552
Kurtosis81.375787
Mean12.988176
Median Absolute Deviation (MAD)0
Skewness8.0321817
Sum64811
Variance2828.4743
MonotonicityNot monotonic
2023-12-12T16:41:48.104423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3941
79.0%
10 51
 
1.0%
6 43
 
0.9%
12 40
 
0.8%
8 27
 
0.5%
14 27
 
0.5%
4 27
 
0.5%
20 26
 
0.5%
18 22
 
0.4%
30 22
 
0.4%
Other values (179) 764
 
15.3%
ValueCountFrequency (%)
0 3941
79.0%
1 5
 
0.1%
2 16
 
0.3%
3 16
 
0.3%
4 27
 
0.5%
5 8
 
0.2%
6 43
 
0.9%
7 7
 
0.1%
8 27
 
0.5%
9 19
 
0.4%
ValueCountFrequency (%)
800 1
 
< 0.1%
784 2
< 0.1%
752 1
 
< 0.1%
672 1
 
< 0.1%
640 3
0.1%
608 1
 
< 0.1%
588 1
 
< 0.1%
576 1
 
< 0.1%
528 1
 
< 0.1%
513 1
 
< 0.1%

출동실적_교육훈련_횟수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1208417
Minimum0
Maximum337
Zeros3008
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:48.258160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile15
Maximum337
Range337
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.7926167
Coefficient of variation (CV)2.1336944
Kurtosis490.59819
Mean4.1208417
Median Absolute Deviation (MAD)0
Skewness15.483384
Sum20563
Variance77.310109
MonotonicityNot monotonic
2023-12-12T16:41:48.408636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 3008
60.3%
12 292
 
5.9%
7 212
 
4.2%
13 152
 
3.0%
1 138
 
2.8%
6 132
 
2.6%
11 118
 
2.4%
9 109
 
2.2%
8 96
 
1.9%
2 93
 
1.9%
Other values (39) 640
 
12.8%
ValueCountFrequency (%)
0 3008
60.3%
1 138
 
2.8%
2 93
 
1.9%
3 56
 
1.1%
4 70
 
1.4%
5 57
 
1.1%
6 132
 
2.6%
7 212
 
4.2%
8 96
 
1.9%
9 109
 
2.2%
ValueCountFrequency (%)
337 1
 
< 0.1%
193 1
 
< 0.1%
183 1
 
< 0.1%
82 1
 
< 0.1%
72 1
 
< 0.1%
58 1
 
< 0.1%
57 1
 
< 0.1%
44 2
< 0.1%
43 1
 
< 0.1%
42 3
0.1%

출동실적_교육훈련_인원
Real number (ℝ)

ZEROS 

Distinct528
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.216433
Minimum0
Maximum2558
Zeros3029
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:48.600472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127
95-th percentile358.65
Maximum2558
Range2558
Interquartile range (IQR)127

Descriptive statistics

Standard deviation158.7313
Coefficient of variation (CV)1.9074513
Kurtosis32.460775
Mean83.216433
Median Absolute Deviation (MAD)0
Skewness4.0466606
Sum415250
Variance25195.624
MonotonicityNot monotonic
2023-12-12T16:41:48.748260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3029
60.7%
120 21
 
0.4%
114 16
 
0.3%
149 16
 
0.3%
145 14
 
0.3%
117 13
 
0.3%
152 13
 
0.3%
84 12
 
0.2%
113 12
 
0.2%
116 12
 
0.2%
Other values (518) 1832
36.7%
ValueCountFrequency (%)
0 3029
60.7%
1 6
 
0.1%
2 6
 
0.1%
3 3
 
0.1%
4 3
 
0.1%
5 8
 
0.2%
6 7
 
0.1%
7 6
 
0.1%
8 5
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
2558 1
< 0.1%
2164 1
< 0.1%
1922 1
< 0.1%
1649 1
< 0.1%
1530 1
< 0.1%
1457 1
< 0.1%
1335 1
< 0.1%
1301 1
< 0.1%
1275 1
< 0.1%
1250 1
< 0.1%

출동실적_화재홍보등_횟수
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4753507
Minimum0
Maximum247
Zeros2626
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:48.903140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile14
Maximum247
Range247
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.5312201
Coefficient of variation (CV)2.1670389
Kurtosis253.11066
Mean3.4753507
Median Absolute Deviation (MAD)0
Skewness10.677465
Sum17342
Variance56.719276
MonotonicityNot monotonic
2023-12-12T16:41:49.071952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2626
52.6%
3 315
 
6.3%
4 286
 
5.7%
2 260
 
5.2%
1 220
 
4.4%
5 220
 
4.4%
6 176
 
3.5%
7 146
 
2.9%
8 112
 
2.2%
9 97
 
1.9%
Other values (50) 532
 
10.7%
ValueCountFrequency (%)
0 2626
52.6%
1 220
 
4.4%
2 260
 
5.2%
3 315
 
6.3%
4 286
 
5.7%
5 220
 
4.4%
6 176
 
3.5%
7 146
 
2.9%
8 112
 
2.2%
9 97
 
1.9%
ValueCountFrequency (%)
247 1
< 0.1%
113 1
< 0.1%
108 1
< 0.1%
95 1
< 0.1%
86 1
< 0.1%
79 1
< 0.1%
75 1
< 0.1%
72 1
< 0.1%
65 1
< 0.1%
64 1
< 0.1%

출동실적_화재홍보등_인원
Real number (ℝ)

ZEROS 

Distinct427
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.447695
Minimum0
Maximum1640
Zeros2652
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:49.234384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q379
95-th percentile260.55
Maximum1640
Range1640
Interquartile range (IQR)79

Descriptive statistics

Standard deviation109.70716
Coefficient of variation (CV)1.8454402
Kurtosis32.290547
Mean59.447695
Median Absolute Deviation (MAD)0
Skewness4.0962147
Sum296644
Variance12035.662
MonotonicityNot monotonic
2023-12-12T16:41:49.382174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2652
53.1%
69 27
 
0.5%
40 26
 
0.5%
60 26
 
0.5%
90 26
 
0.5%
52 23
 
0.5%
51 22
 
0.4%
28 22
 
0.4%
37 21
 
0.4%
44 20
 
0.4%
Other values (417) 2125
42.6%
ValueCountFrequency (%)
0 2652
53.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 3
 
0.1%
4 3
 
0.1%
5 6
 
0.1%
6 5
 
0.1%
7 5
 
0.1%
8 4
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
1640 1
< 0.1%
1566 1
< 0.1%
1556 1
< 0.1%
1115 1
< 0.1%
1047 1
< 0.1%
978 1
< 0.1%
847 1
< 0.1%
792 1
< 0.1%
779 1
< 0.1%
700 1
< 0.1%

출동실적_기타_지원_횟수
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74589178
Minimum0
Maximum188
Zeros4465
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:49.547758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum188
Range188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.5692694
Coefficient of variation (CV)8.8072687
Kurtosis352.82395
Mean0.74589178
Median Absolute Deviation (MAD)0
Skewness17.03158
Sum3722
Variance43.1553
MonotonicityNot monotonic
2023-12-12T16:41:49.694264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 4465
89.5%
1 203
 
4.1%
2 95
 
1.9%
3 45
 
0.9%
7 37
 
0.7%
4 34
 
0.7%
6 23
 
0.5%
5 21
 
0.4%
8 10
 
0.2%
9 7
 
0.1%
Other values (25) 50
 
1.0%
ValueCountFrequency (%)
0 4465
89.5%
1 203
 
4.1%
2 95
 
1.9%
3 45
 
0.9%
4 34
 
0.7%
5 21
 
0.4%
6 23
 
0.5%
7 37
 
0.7%
8 10
 
0.2%
9 7
 
0.1%
ValueCountFrequency (%)
188 1
 
< 0.1%
181 1
 
< 0.1%
118 1
 
< 0.1%
91 3
0.1%
90 6
0.1%
87 1
 
< 0.1%
83 1
 
< 0.1%
78 1
 
< 0.1%
65 2
 
< 0.1%
64 1
 
< 0.1%

출동실적_기타_지원_인원
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1837675
Minimum0
Maximum673
Zeros4476
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:49.841218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum673
Range673
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.600509
Coefficient of variation (CV)5.4019515
Kurtosis225.64573
Mean4.1837675
Median Absolute Deviation (MAD)0
Skewness11.870447
Sum20877
Variance510.78302
MonotonicityNot monotonic
2023-12-12T16:41:50.002570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4476
89.7%
24 21
 
0.4%
11 19
 
0.4%
5 18
 
0.4%
20 18
 
0.4%
4 16
 
0.3%
10 16
 
0.3%
2 15
 
0.3%
14 15
 
0.3%
6 15
 
0.3%
Other values (106) 361
 
7.2%
ValueCountFrequency (%)
0 4476
89.7%
1 10
 
0.2%
2 15
 
0.3%
3 5
 
0.1%
4 16
 
0.3%
5 18
 
0.4%
6 15
 
0.3%
7 9
 
0.2%
8 12
 
0.2%
9 9
 
0.2%
ValueCountFrequency (%)
673 1
< 0.1%
446 1
< 0.1%
296 1
< 0.1%
283 1
< 0.1%
278 1
< 0.1%
247 1
< 0.1%
239 1
< 0.1%
236 1
< 0.1%
235 1
< 0.1%
228 1
< 0.1%

출동실적_기타_순찰_횟수
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0296593
Minimum0
Maximum366
Zeros3928
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:50.172757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum366
Range366
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.822569
Coefficient of variation (CV)5.1673275
Kurtosis124.89483
Mean4.0296593
Median Absolute Deviation (MAD)0
Skewness9.853991
Sum20108
Variance433.5794
MonotonicityNot monotonic
2023-12-12T16:41:50.318031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3928
78.7%
1 218
 
4.4%
2 146
 
2.9%
4 92
 
1.8%
3 82
 
1.6%
5 50
 
1.0%
7 37
 
0.7%
8 37
 
0.7%
12 32
 
0.6%
6 29
 
0.6%
Other values (86) 339
 
6.8%
ValueCountFrequency (%)
0 3928
78.7%
1 218
 
4.4%
2 146
 
2.9%
3 82
 
1.6%
4 92
 
1.8%
5 50
 
1.0%
6 29
 
0.6%
7 37
 
0.7%
8 37
 
0.7%
9 20
 
0.4%
ValueCountFrequency (%)
366 1
 
< 0.1%
365 1
 
< 0.1%
356 1
 
< 0.1%
345 1
 
< 0.1%
342 1
 
< 0.1%
309 1
 
< 0.1%
248 4
0.1%
246 1
 
< 0.1%
227 1
 
< 0.1%
214 1
 
< 0.1%

출동실적_기타_순찰_인원
Real number (ℝ)

ZEROS 

Distinct224
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.136874
Minimum0
Maximum1098
Zeros3943
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:50.474115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76.55
Maximum1098
Range1098
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.976349
Coefficient of variation (CV)4.0885459
Kurtosis76.344692
Mean16.136874
Median Absolute Deviation (MAD)0
Skewness7.542119
Sum80523
Variance4352.8786
MonotonicityNot monotonic
2023-12-12T16:41:50.623578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3943
79.0%
17 32
 
0.6%
12 32
 
0.6%
8 32
 
0.6%
10 32
 
0.6%
6 31
 
0.6%
4 27
 
0.5%
13 25
 
0.5%
18 24
 
0.5%
16 23
 
0.5%
Other values (214) 789
 
15.8%
ValueCountFrequency (%)
0 3943
79.0%
1 14
 
0.3%
2 20
 
0.4%
3 16
 
0.3%
4 27
 
0.5%
5 8
 
0.2%
6 31
 
0.6%
7 11
 
0.2%
8 32
 
0.6%
9 12
 
0.2%
ValueCountFrequency (%)
1098 1
< 0.1%
1060 1
< 0.1%
1049 1
< 0.1%
894 1
< 0.1%
720 1
< 0.1%
712 1
< 0.1%
690 1
< 0.1%
684 1
< 0.1%
670 1
< 0.1%
658 1
< 0.1%

출동실적_기타_기타_횟수
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1589178
Minimum0
Maximum412
Zeros4157
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:50.750007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum412
Range412
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.7130715
Coefficient of variation (CV)7.5182823
Kurtosis1100.7121
Mean1.1589178
Median Absolute Deviation (MAD)0
Skewness27.965524
Sum5783
Variance75.917614
MonotonicityNot monotonic
2023-12-12T16:41:50.887558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 4157
83.3%
1 255
 
5.1%
2 152
 
3.0%
3 82
 
1.6%
4 72
 
1.4%
5 44
 
0.9%
6 38
 
0.8%
9 24
 
0.5%
7 20
 
0.4%
10 20
 
0.4%
Other values (36) 126
 
2.5%
ValueCountFrequency (%)
0 4157
83.3%
1 255
 
5.1%
2 152
 
3.0%
3 82
 
1.6%
4 72
 
1.4%
5 44
 
0.9%
6 38
 
0.8%
7 20
 
0.4%
8 19
 
0.4%
9 24
 
0.5%
ValueCountFrequency (%)
412 1
 
< 0.1%
160 4
0.1%
121 2
< 0.1%
115 1
 
< 0.1%
66 1
 
< 0.1%
57 1
 
< 0.1%
56 1
 
< 0.1%
48 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%

출동실적_기타_기타_인원
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8114228
Minimum0
Maximum1273
Zeros4167
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:51.012429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile55
Maximum1273
Range1273
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.673666
Coefficient of variation (CV)4.3493861
Kurtosis204.14502
Mean9.8114228
Median Absolute Deviation (MAD)0
Skewness10.741392
Sum48959
Variance1821.0418
MonotonicityNot monotonic
2023-12-12T16:41:51.161959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4167
83.5%
12 33
 
0.7%
5 25
 
0.5%
18 23
 
0.5%
10 23
 
0.5%
25 20
 
0.4%
6 19
 
0.4%
16 17
 
0.3%
1 17
 
0.3%
24 16
 
0.3%
Other values (179) 630
 
12.6%
ValueCountFrequency (%)
0 4167
83.5%
1 17
 
0.3%
2 15
 
0.3%
3 10
 
0.2%
4 14
 
0.3%
5 25
 
0.5%
6 19
 
0.4%
7 6
 
0.1%
8 14
 
0.3%
9 14
 
0.3%
ValueCountFrequency (%)
1273 1
< 0.1%
640 2
< 0.1%
561 1
< 0.1%
502 1
< 0.1%
484 2
< 0.1%
468 1
< 0.1%
365 1
< 0.1%
360 1
< 0.1%
355 1
< 0.1%
349 1
< 0.1%

펌프차 대수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.1 KiB
0
4539 
1
 
400
2
 
50
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4539
91.0%
1 400
 
8.0%
2 50
 
1.0%
4 1
 
< 0.1%

Length

2023-12-12T16:41:51.313708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:41:51.416610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4539
91.0%
1 400
 
8.0%
2 50
 
1.0%
4 1
 
< 0.1%

산불진압차 대수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.1 KiB
0
4774 
1
 
211
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4774
95.7%
1 211
 
4.2%
2 5
 
0.1%

Length

2023-12-12T16:41:51.539428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:41:51.635673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4774
95.7%
1 211
 
4.2%
2 5
 
0.1%

구급차 대수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.1 KiB
0
4854 
1
 
121
2
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4854
97.3%
1 121
 
2.4%
2 15
 
0.3%

Length

2023-12-12T16:41:51.752631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:41:51.851794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4854
97.3%
1 121
 
2.4%
2 15
 
0.3%

기타차량 대수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13106212
Minimum0
Maximum21
Zeros4651
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size44.0 KiB
2023-12-12T16:41:51.946095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98233397
Coefficient of variation (CV)7.4951782
Kurtosis312.86515
Mean0.13106212
Median Absolute Deviation (MAD)0
Skewness16.404118
Sum654
Variance0.96498003
MonotonicityNot monotonic
2023-12-12T16:41:52.052625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4651
93.2%
1 280
 
5.6%
2 20
 
0.4%
4 8
 
0.2%
3 8
 
0.2%
6 7
 
0.1%
7 6
 
0.1%
20 6
 
0.1%
21 2
 
< 0.1%
16 2
 
< 0.1%
ValueCountFrequency (%)
0 4651
93.2%
1 280
 
5.6%
2 20
 
0.4%
3 8
 
0.2%
4 8
 
0.2%
6 7
 
0.1%
7 6
 
0.1%
16 2
 
< 0.1%
20 6
 
0.1%
21 2
 
< 0.1%
ValueCountFrequency (%)
21 2
 
< 0.1%
20 6
 
0.1%
16 2
 
< 0.1%
7 6
 
0.1%
6 7
 
0.1%
4 8
 
0.2%
3 8
 
0.2%
2 20
 
0.4%
1 280
 
5.6%
0 4651
93.2%

Sample

통계연도의용소방대정원현재인원성별_남자성별_여자연령_2030연령_3140연령_4145연령_4650연령_5155연령_5660연령_6165연령_66의소대지원현황_행정지원횟수_차량지원의소대지원현황_행정지원횟수_장소제공의소대지원현황_행정지원횟수_간담회의소대지원현황_행정지원횟수_기타의소대지원현황_단체별예산지원액_광역시도의소대지원현황_단체별예산지원액_시의소대지원현황_단체별예산지원액_군예산현황_교육기관예산현황_확보액_본예산예산현황_확보액_추경예산현황_집행액예산현황_잔액출동실적_화재진압_횟수출동실적_화재진압_인원출동실적_인명구조및구급_횟수출동실적_인명구조및구급_인원출동실적_화재경계근무_횟수출동실적_화재경계근무_인원출동실적_교육훈련_횟수출동실적_교육훈련_인원출동실적_화재홍보등_횟수출동실적_화재홍보등_인원출동실적_기타_지원_횟수출동실적_기타_지원_인원출동실적_기타_순찰_횟수출동실적_기타_순찰_인원출동실적_기타_기타_횟수출동실적_기타_기타_인원펌프차 대수산불진압차 대수구급차 대수기타차량 대수
01990공주소방서 반포면 남성대30303000000000000000000000000000000000000001100
12000영광소방서 홍농읍 남성대3531280002141110000000000000000000000000000000000
22011포천소방서 영평의용소방대2016000000000000000000000000000000000000000000
32011태안소방서 근흥면 여성의용소방대201827180000000000000000000000000000000000000000
42011광양소방서 광양시 중부남성의용소방대4044500500000000000000000000000000000000000000
52011창원소방본부 창원소방본부남성의용소방대이동지역대20202000000000000000000000000000000000000000000
62011동부소방서 김녕남성의용소방대30272700000000000000000000000000000000000000000
72012은평소방서 서울은평의용소방대174178391390000000000000000000000000000000000000000
82012관악소방서 관악소방서 의용소방대414115260000000000000000000000000000000000000000
92012부산진소방서 부암지역 남성의용소방대20171700042470000000000000026000015198581751128120000
통계연도의용소방대정원현재인원성별_남자성별_여자연령_2030연령_3140연령_4145연령_4650연령_5155연령_5660연령_6165연령_66의소대지원현황_행정지원횟수_차량지원의소대지원현황_행정지원횟수_장소제공의소대지원현황_행정지원횟수_간담회의소대지원현황_행정지원횟수_기타의소대지원현황_단체별예산지원액_광역시도의소대지원현황_단체별예산지원액_시의소대지원현황_단체별예산지원액_군예산현황_교육기관예산현황_확보액_본예산예산현황_확보액_추경예산현황_집행액예산현황_잔액출동실적_화재진압_횟수출동실적_화재진압_인원출동실적_인명구조및구급_횟수출동실적_인명구조및구급_인원출동실적_화재경계근무_횟수출동실적_화재경계근무_인원출동실적_교육훈련_횟수출동실적_교육훈련_인원출동실적_화재홍보등_횟수출동실적_화재홍보등_인원출동실적_기타_지원_횟수출동실적_기타_지원_인원출동실적_기타_순찰_횟수출동실적_기타_순찰_인원출동실적_기타_기타_횟수출동실적_기타_기타_인원펌프차 대수산불진압차 대수구급차 대수기타차량 대수
49802023포항남부소방서 울릉의용소방대4029290358553000000000000000000002403600000000000
49812023포항남부소방서 울릉서면전문의용소방대302626003787100000000000000000000003600000000001
49822023포항남부소방서 울릉북면의용소방대3025250014695000000000000000011000003600000000000
49832023포항남부소방서 울릉저동의용소방대303030008413320000000000000012000002403600000000001
49842023포항남부소방서 울릉사동의용소방대3019190146530000000000000000000002453650000000000
49852023포항남부소방서 울릉태하의용소방대2018180010637100000000000000000002283400000000000
49862023포항남부소방서 울릉현포의용소방대2017170035531000000000000000000002243350000000001
49872023청도소방서 금천여성의용소방대30300300000000000000000000000000000000000000000
49882023청도소방서 운문전담의용소방대302323000131531000000000000000000000000000000100
49892023합천소방서 쌍책면 여성대50150150000000000000000000000000000000000000000

Duplicate rows

Most frequently occurring

통계연도의용소방대정원현재인원성별_남자성별_여자연령_2030연령_3140연령_4145연령_4650연령_5155연령_5660연령_6165연령_66의소대지원현황_행정지원횟수_차량지원의소대지원현황_행정지원횟수_장소제공의소대지원현황_행정지원횟수_간담회의소대지원현황_행정지원횟수_기타의소대지원현황_단체별예산지원액_광역시도의소대지원현황_단체별예산지원액_시의소대지원현황_단체별예산지원액_군예산현황_교육기관예산현황_확보액_본예산예산현황_확보액_추경예산현황_집행액예산현황_잔액출동실적_화재진압_횟수출동실적_화재진압_인원출동실적_인명구조및구급_횟수출동실적_인명구조및구급_인원출동실적_화재경계근무_횟수출동실적_화재경계근무_인원출동실적_교육훈련_횟수출동실적_교육훈련_인원출동실적_화재홍보등_횟수출동실적_화재홍보등_인원출동실적_기타_지원_횟수출동실적_기타_지원_인원출동실적_기타_순찰_횟수출동실적_기타_순찰_인원출동실적_기타_기타_횟수출동실적_기타_기타_인원펌프차 대수산불진압차 대수구급차 대수기타차량 대수# duplicates
02013마산소방서 동마산여성소방대50500100001000000000000000000000000000000000002
12013마산소방서 동마산여성소방대50500100010000000000000000000000000000000000002
22013청양소방서 청양읍 남성의용소방대505060000000000000000000000000000000000000000012
32014청양소방서 남양면 여성의용소방대201601800237330000000000000000000000000000000002
42014청양소방서 대치면 남성의용소방대3026260103714100000000000000000000000000000001002
52014청양소방서 대치면 여성의용소방대2018018001800000000000000000000000000000000010002
62014청양소방서 비봉면 남성의용소방대3025300045118200000000000000000000000000000001002