Overview

Dataset statistics

Number of variables7
Number of observations185
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory61.7 B

Variable types

Categorical2
Numeric5

Dataset

Description대구광역시_소방 긴급구조 월별 구조활동 집계 * 본 자료는 긴급구조표준시스템에서 추출한 자료로 일부 데이터에 오류가 있을 수 있으며 참고용으로만 활용가능 * 오류 없는 정밀한 데이터를 확인하기 위해서는 관련부서로 문의 필요
URLhttps://www.data.go.kr/data/15117287/fileData.do

Alerts

출동건수 is highly overall correlated with 구조건수 and 3 other fieldsHigh correlation
구조건수 is highly overall correlated with 출동건수 and 3 other fieldsHigh correlation
구조인원수 is highly overall correlated with 출동건수 and 3 other fieldsHigh correlation
활동인원 is highly overall correlated with 출동건수 and 3 other fieldsHigh correlation
활동장비 is highly overall correlated with 출동건수 and 3 other fieldsHigh correlation
구조건수 has 6 (3.2%) zerosZeros
구조인원수 has 47 (25.4%) zerosZeros
활동인원 has 6 (3.2%) zerosZeros
활동장비 has 12 (6.5%) zerosZeros

Reproduction

Analysis started2023-12-12 20:26:15.730542
Analysis finished2023-12-12 20:26:19.050621
Duration3.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년월
Categorical

Distinct22
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2014-10-01
47 
2011-07-01
10 
2011-02-01
10 
2011-06-01
10 
2011-09-01
10 
Other values (17)
98 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)3.2%

Sample

1st row2011-12-01
2nd row2011-12-01
3rd row2012-01-01
4th row2011-12-01
5th row2011-12-01

Common Values

ValueCountFrequency (%)
2014-10-01 47
25.4%
2011-07-01 10
 
5.4%
2011-02-01 10
 
5.4%
2011-06-01 10
 
5.4%
2011-09-01 10
 
5.4%
2011-10-01 10
 
5.4%
2011-08-01 10
 
5.4%
2011-11-01 10
 
5.4%
2011-12-01 10
 
5.4%
2011-05-01 10
 
5.4%
Other values (12) 48
25.9%

Length

2023-12-13T05:26:19.141925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2014-10-01 47
25.4%
2011-11-01 10
 
5.4%
2011-01-01 10
 
5.4%
2011-07-01 10
 
5.4%
2011-04-01 10
 
5.4%
2011-05-01 10
 
5.4%
2011-12-01 10
 
5.4%
2011-03-01 10
 
5.4%
2011-08-01 10
 
5.4%
2011-10-01 10
 
5.4%
Other values (12) 48
25.9%

서센터명
Categorical

Distinct47
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
동부구조대
17 
달서구조대
15 
달성구조대
14 
범물119안전센터
14 
수성구조대
14 
Other values (42)
111 

Length

Max length12
Median length5
Mean length6.9135135
Min length5

Unique

Unique29 ?
Unique (%)15.7%

Sample

1st row중부구조대
2nd row동부구조대
3rd row동부구조대
4th row동천119안전센터
5th row서부구조대

Common Values

ValueCountFrequency (%)
동부구조대 17
 
9.2%
달서구조대 15
 
8.1%
달성구조대 14
 
7.6%
범물119안전센터 14
 
7.6%
수성구조대 14
 
7.6%
현풍119안전센터 14
 
7.6%
중부구조대 13
 
7.0%
동천119안전센터 13
 
7.0%
서부구조대 13
 
7.0%
북부구조대 13
 
7.0%
Other values (37) 45
24.3%

Length

2023-12-13T05:26:19.301361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동부구조대 17
 
9.2%
달서구조대 15
 
8.1%
달성구조대 14
 
7.6%
범물119안전센터 14
 
7.6%
수성구조대 14
 
7.6%
현풍119안전센터 14
 
7.6%
중부구조대 13
 
7.0%
동천119안전센터 13
 
7.0%
서부구조대 13
 
7.0%
북부구조대 13
 
7.0%
Other values (37) 45
24.3%

출동건수
Real number (ℝ)

HIGH CORRELATION 

Distinct106
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.237838
Minimum1
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:26:19.445558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median62
Q3112
95-th percentile152.6
Maximum209
Range208
Interquartile range (IQR)105

Descriptive statistics

Standard deviation55.877853
Coefficient of variation (CV)0.85652521
Kurtosis-1.0028549
Mean65.237838
Median Absolute Deviation (MAD)53
Skewness0.39675779
Sum12069
Variance3122.3344
MonotonicityNot monotonic
2023-12-13T05:26:19.926673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 9
 
4.9%
2 8
 
4.3%
1 7
 
3.8%
3 7
 
3.8%
5 7
 
3.8%
9 6
 
3.2%
4 6
 
3.2%
103 4
 
2.2%
108 4
 
2.2%
6 4
 
2.2%
Other values (96) 123
66.5%
ValueCountFrequency (%)
1 7
3.8%
2 8
4.3%
3 7
3.8%
4 6
3.2%
5 7
3.8%
6 4
2.2%
7 9
4.9%
8 1
 
0.5%
9 6
3.2%
10 1
 
0.5%
ValueCountFrequency (%)
209 1
0.5%
201 1
0.5%
192 1
0.5%
190 1
0.5%
188 1
0.5%
178 1
0.5%
167 1
0.5%
155 1
0.5%
154 1
0.5%
153 1
0.5%

구조건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct90
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.654054
Minimum0
Maximum132
Zeros6
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:26:20.100097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q111
median42
Q368
95-th percentile105.2
Maximum132
Range132
Interquartile range (IQR)57

Descriptive statistics

Standard deviation33.898655
Coefficient of variation (CV)0.77652936
Kurtosis-0.71753847
Mean43.654054
Median Absolute Deviation (MAD)29
Skewness0.470751
Sum8076
Variance1149.1188
MonotonicityNot monotonic
2023-12-13T05:26:20.283937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 7
 
3.8%
5 7
 
3.8%
0 6
 
3.2%
4 5
 
2.7%
57 5
 
2.7%
7 5
 
2.7%
20 4
 
2.2%
1 4
 
2.2%
33 4
 
2.2%
11 4
 
2.2%
Other values (80) 134
72.4%
ValueCountFrequency (%)
0 6
3.2%
1 4
2.2%
2 1
 
0.5%
3 7
3.8%
4 5
2.7%
5 7
3.8%
6 2
 
1.1%
7 5
2.7%
8 3
1.6%
9 3
1.6%
ValueCountFrequency (%)
132 1
0.5%
131 1
0.5%
124 1
0.5%
121 1
0.5%
118 1
0.5%
112 1
0.5%
109 1
0.5%
107 2
1.1%
106 1
0.5%
102 1
0.5%

구조인원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.075676
Minimum0
Maximum146
Zeros47
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:26:20.448416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q325
95-th percentile53
Maximum146
Range146
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.938893
Coefficient of variation (CV)1.1676781
Kurtosis11.017471
Mean17.075676
Median Absolute Deviation (MAD)13
Skewness2.5918178
Sum3159
Variance397.55946
MonotonicityNot monotonic
2023-12-13T05:26:20.613802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 47
25.4%
10 8
 
4.3%
2 7
 
3.8%
19 7
 
3.8%
25 7
 
3.8%
22 6
 
3.2%
1 6
 
3.2%
14 5
 
2.7%
15 5
 
2.7%
12 5
 
2.7%
Other values (37) 82
44.3%
ValueCountFrequency (%)
0 47
25.4%
1 6
 
3.2%
2 7
 
3.8%
3 2
 
1.1%
4 1
 
0.5%
7 3
 
1.6%
8 2
 
1.1%
9 4
 
2.2%
10 8
 
4.3%
11 1
 
0.5%
ValueCountFrequency (%)
146 1
0.5%
94 1
0.5%
92 1
0.5%
81 1
0.5%
73 1
0.5%
65 1
0.5%
64 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%

활동인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.65946
Minimum0
Maximum1383
Zeros6
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:26:20.790243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q143
median256
Q3663
95-th percentile1041.4
Maximum1383
Range1383
Interquartile range (IQR)620

Descriptive statistics

Standard deviation357.90314
Coefficient of variation (CV)0.93286673
Kurtosis-0.53159638
Mean383.65946
Median Absolute Deviation (MAD)242
Skewness0.68952258
Sum70977
Variance128094.66
MonotonicityNot monotonic
2023-12-13T05:26:20.955420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.2%
14 3
 
1.6%
18 3
 
1.6%
19 2
 
1.1%
8 2
 
1.1%
817 2
 
1.1%
23 2
 
1.1%
28 2
 
1.1%
11 2
 
1.1%
29 2
 
1.1%
Other values (144) 159
85.9%
ValueCountFrequency (%)
0 6
3.2%
2 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
7 2
 
1.1%
8 2
 
1.1%
9 1
 
0.5%
10 1
 
0.5%
11 2
 
1.1%
12 1
 
0.5%
ValueCountFrequency (%)
1383 1
0.5%
1328 1
0.5%
1295 1
0.5%
1276 1
0.5%
1211 1
0.5%
1107 1
0.5%
1102 1
0.5%
1061 1
0.5%
1054 1
0.5%
1044 1
0.5%

활동장비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct111
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.7027
Minimum0
Maximum1002
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:26:21.129877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median37
Q3111
95-th percentile667.2
Maximum1002
Range1002
Interquartile range (IQR)96

Descriptive statistics

Standard deviation198.99242
Coefficient of variation (CV)1.8139245
Kurtosis8.5904204
Mean109.7027
Median Absolute Deviation (MAD)28
Skewness3.0266596
Sum20295
Variance39597.982
MonotonicityNot monotonic
2023-12-13T05:26:21.332926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
6.5%
14 5
 
2.7%
9 5
 
2.7%
24 5
 
2.7%
26 4
 
2.2%
20 4
 
2.2%
15 4
 
2.2%
18 4
 
2.2%
58 4
 
2.2%
21 3
 
1.6%
Other values (101) 135
73.0%
ValueCountFrequency (%)
0 12
6.5%
1 3
 
1.6%
2 1
 
0.5%
3 2
 
1.1%
4 3
 
1.6%
5 2
 
1.1%
6 2
 
1.1%
7 1
 
0.5%
8 1
 
0.5%
9 5
2.7%
ValueCountFrequency (%)
1002 1
0.5%
882 1
0.5%
869 1
0.5%
863 1
0.5%
852 1
0.5%
842 1
0.5%
830 1
0.5%
829 1
0.5%
772 1
0.5%
671 1
0.5%

Interactions

2023-12-13T05:26:18.186044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.000956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.445533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.921243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.470371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:18.301772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.082802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.524524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.050393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.589303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:18.430499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.177374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.628731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.163252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.787381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:18.570892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.268449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.728797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.280107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.926107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:18.702053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.358867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:16.830489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:17.376085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:18.054730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:26:21.458836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년월서센터명출동건수구조건수구조인원수활동인원활동장비
집계년월1.0000.0000.3000.4830.3570.5020.374
서센터명0.0001.0000.6890.5240.0000.6230.000
출동건수0.3000.6891.0000.9290.7790.9590.473
구조건수0.4830.5240.9291.0000.6850.9120.552
구조인원수0.3570.0000.7790.6851.0000.7700.644
활동인원0.5020.6230.9590.9120.7701.0000.500
활동장비0.3740.0000.4730.5520.6440.5001.000
2023-12-13T05:26:21.584422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년월서센터명
집계년월1.0000.000
서센터명0.0001.000
2023-12-13T05:26:21.686383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출동건수구조건수구조인원수활동인원활동장비집계년월서센터명
출동건수1.0000.9290.8830.9240.6480.1090.276
구조건수0.9291.0000.8420.9410.6690.1930.172
구조인원수0.8830.8421.0000.8130.6840.1550.000
활동인원0.9240.9410.8131.0000.6090.2020.233
활동장비0.6480.6690.6840.6091.0000.1530.000
집계년월0.1090.1930.1550.2020.1531.0000.000
서센터명0.2760.1720.0000.2330.0000.0001.000

Missing values

2023-12-13T05:26:18.852621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:26:18.988935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

집계년월서센터명출동건수구조건수구조인원수활동인원활동장비
02011-12-01중부구조대1034827641594
12011-12-01동부구조대106652267525
22012-01-01동부구조대113573176019
32011-12-01동천119안전센터52371522117
42011-12-01서부구조대75401852026
52011-12-01북부구조대68441935558
62011-12-01달서구조대14990641061228
72011-12-01달성구조대35171016949
82011-12-01범물119안전센터1507720
92011-12-01수성구조대98603361763
집계년월서센터명출동건수구조건수구조인원수활동인원활동장비
1752014-10-01화원119안전센터101013524
1762014-10-01구지119안전센터33096
1772014-10-01달성구조대5320329173
1782014-10-01만촌119안전센터9922718
1792014-10-01황금119안전센터5531910
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