Overview

Dataset statistics

Number of variables6
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory51.9 B

Variable types

Categorical4
Numeric2

Dataset

Description경기도 구급차 및 구급대원 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JE55Y365432IZR9CT9R926586107&infSeq=1

Alerts

기관명 is highly overall correlated with 구급차수(대) and 3 other fieldsHigh correlation
시군명 is highly overall correlated with 구급차수(대) and 3 other fieldsHigh correlation
구급차수(대) is highly overall correlated with 구급대원수(명) and 3 other fieldsHigh correlation
구급대원수(명) is highly overall correlated with 구급차수(대) and 3 other fieldsHigh correlation
구분명 is highly overall correlated with 구급차수(대) and 3 other fieldsHigh correlation
구분명 is highly imbalanced (81.7%)Imbalance
구급대원수(명) has 4 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-11 01:51:25.111530
Analysis finished2024-04-11 01:51:26.980653
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023
36 
2022
36 
2021
36 
2024
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2022
3rd row2021
4th row2024
5th row2023

Common Values

ValueCountFrequency (%)
2023 36
25.0%
2022 36
25.0%
2021 36
25.0%
2024 36
25.0%

Length

2024-04-11T10:51:27.034474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:51:27.115587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 36
25.0%
2022 36
25.0%
2021 36
25.0%
2024 36
25.0%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
용인시
 
8
평택시
 
8
수원시
 
8
성남시
 
8
고양시
 
8
Other values (26)
104 

Length

Max length4
Median length3
Mean length3.0833333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row고양시

Common Values

ValueCountFrequency (%)
용인시 8
 
5.6%
평택시 8
 
5.6%
수원시 8
 
5.6%
성남시 8
 
5.6%
고양시 8
 
5.6%
김포시 4
 
2.8%
시흥시 4
 
2.8%
부천시 4
 
2.8%
동두천시 4
 
2.8%
남양주시 4
 
2.8%
Other values (21) 84
58.3%

Length

2024-04-11T10:51:27.204168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 8
 
5.6%
수원시 8
 
5.6%
성남시 8
 
5.6%
고양시 8
 
5.6%
평택시 8
 
5.6%
양주시 4
 
2.8%
포천시 4
 
2.8%
파주시 4
 
2.8%
이천시 4
 
2.8%
의정부시 4
 
2.8%
Other values (21) 84
58.3%

구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
119구급대
140 
교수운영과(교육용)
 
4

Length

Max length10
Median length6
Mean length6.1111111
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row119구급대
2nd row119구급대
3rd row119구급대
4th row119구급대
5th row119구급대

Common Values

ValueCountFrequency (%)
119구급대 140
97.2%
교수운영과(교육용) 4
 
2.8%

Length

2024-04-11T10:51:27.314318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:51:27.402236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
119구급대 140
97.2%
교수운영과(교육용 4
 
2.8%

기관명
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
가평소방서
 
4
고양소방서
 
4
김포소방서
 
4
일산소방서
 
4
과천소방서
 
4
Other values (31)
124 

Length

Max length7
Median length5
Mean length5.1944444
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평소방서
2nd row가평소방서
3rd row가평소방서
4th row가평소방서
5th row고양소방서

Common Values

ValueCountFrequency (%)
가평소방서 4
 
2.8%
고양소방서 4
 
2.8%
김포소방서 4
 
2.8%
일산소방서 4
 
2.8%
과천소방서 4
 
2.8%
광명소방서 4
 
2.8%
광주소방서 4
 
2.8%
구리소방서 4
 
2.8%
군포소방서 4
 
2.8%
남양주소방서 4
 
2.8%
Other values (26) 104
72.2%

Length

2024-04-11T10:51:27.508060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평소방서 4
 
2.8%
고양소방서 4
 
2.8%
경기도소방학교 4
 
2.8%
양주소방서 4
 
2.8%
양평소방서 4
 
2.8%
여주소방서 4
 
2.8%
연천소방서 4
 
2.8%
오산소방서 4
 
2.8%
용인소방서 4
 
2.8%
의왕소방서 4
 
2.8%
Other values (26) 104
72.2%

구급차수(대)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7916667
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T10:51:27.597592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q310
95-th percentile13.85
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3363331
Coefficient of variation (CV)0.42819249
Kurtosis0.55101267
Mean7.7916667
Median Absolute Deviation (MAD)3
Skewness0.74131318
Sum1122
Variance11.131119
MonotonicityNot monotonic
2024-04-11T10:51:27.690220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 26
18.1%
8 26
18.1%
7 14
9.7%
6 12
8.3%
10 10
 
6.9%
12 10
 
6.9%
11 10
 
6.9%
4 8
 
5.6%
9 8
 
5.6%
3 6
 
4.2%
Other values (6) 14
9.7%
ValueCountFrequency (%)
2 4
 
2.8%
3 6
 
4.2%
4 8
 
5.6%
5 26
18.1%
6 12
8.3%
7 14
9.7%
8 26
18.1%
9 8
 
5.6%
10 10
 
6.9%
11 10
 
6.9%
ValueCountFrequency (%)
18 2
 
1.4%
17 2
 
1.4%
15 2
 
1.4%
14 2
 
1.4%
13 2
 
1.4%
12 10
 
6.9%
11 10
 
6.9%
10 10
 
6.9%
9 8
 
5.6%
8 26
18.1%

구급대원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct61
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.868056
Minimum0
Maximum145
Zeros4
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-11T10:51:27.797896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q138
median55
Q372.25
95-th percentile109.4
Maximum145
Range145
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation27.522971
Coefficient of variation (CV)0.46753661
Kurtosis0.76159052
Mean58.868056
Median Absolute Deviation (MAD)17
Skewness0.6631427
Sum8477
Variance757.51394
MonotonicityNot monotonic
2024-04-11T10:51:27.907646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 5
 
3.5%
30 5
 
3.5%
36 5
 
3.5%
69 5
 
3.5%
65 5
 
3.5%
0 4
 
2.8%
54 4
 
2.8%
35 4
 
2.8%
66 4
 
2.8%
106 4
 
2.8%
Other values (51) 99
68.8%
ValueCountFrequency (%)
0 4
2.8%
23 2
 
1.4%
24 3
2.1%
25 1
 
0.7%
29 2
 
1.4%
30 5
3.5%
31 2
 
1.4%
32 2
 
1.4%
33 2
 
1.4%
34 2
 
1.4%
ValueCountFrequency (%)
145 2
1.4%
129 2
1.4%
119 1
 
0.7%
115 1
 
0.7%
110 2
1.4%
106 4
2.8%
98 2
1.4%
92 2
1.4%
91 1
 
0.7%
90 2
1.4%

Interactions

2024-04-11T10:51:26.687820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:51:26.373269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:51:26.768150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:51:26.499418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T10:51:27.985611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도시군명구분명기관명구급차수(대)구급대원수(명)
집계년도1.0000.0000.0000.0000.0000.000
시군명0.0001.0000.6821.0000.9240.925
구분명0.0000.6821.0001.0000.7451.000
기관명0.0001.0001.0001.0000.9520.956
구급차수(대)0.0000.9240.7450.9521.0000.950
구급대원수(명)0.0000.9251.0000.9560.9501.000
2024-04-11T10:51:28.080063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명시군명집계년도구분명
기관명1.0000.9780.0000.872
시군명0.9781.0000.0000.527
집계년도0.0000.0001.0000.000
구분명0.8720.5270.0001.000
2024-04-11T10:51:28.171203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구급차수(대)구급대원수(명)집계년도시군명구분명기관명
구급차수(대)1.0000.9620.0000.6080.5680.675
구급대원수(명)0.9621.0000.0000.5940.9710.667
집계년도0.0000.0001.0000.0000.0000.000
시군명0.6080.5940.0001.0000.5270.978
구분명0.5680.9710.0000.5271.0000.872
기관명0.6750.6670.0000.9780.8721.000

Missing values

2024-04-11T10:51:26.864249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T10:51:26.945390image/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

집계년도시군명구분명기관명구급차수(대)구급대원수(명)
02023가평군119구급대가평소방서432
12022가평군119구급대가평소방서748
22021가평군119구급대가평소방서746
32024가평군119구급대가평소방서432
42023고양시119구급대고양소방서650
52022고양시119구급대고양소방서752
62021고양시119구급대고양소방서751
72024고양시119구급대고양소방서650
82021고양시119구급대일산소방서1069
92022고양시119구급대일산소방서1070
집계년도시군명구분명기관명구급차수(대)구급대원수(명)
1342023포천시119구급대포천소방서1066
1352024포천시119구급대포천소방서1066
1362021하남시119구급대하남소방서535
1372022하남시119구급대하남소방서536
1382024하남시119구급대하남소방서541
1392023하남시119구급대하남소방서541
1402021화성시119구급대화성소방서1287
1412023화성시119구급대화성소방서15110
1422022화성시119구급대화성소방서1292
1432024화성시119구급대화성소방서15110