Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical2
DateTime2

Dataset

Description세종소방본부의 2012년부터 2020년까지의 119신고정보로, 접수경로, 접수일시, 타시도신고여부 정보를 제공하는 데이터임
URLhttps://www.data.go.kr/data/15080962/fileData.do

Alerts

타시도신고여부 is highly imbalanced (86.9%)Imbalance
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:38:37.705690
Analysis finished2023-12-12 10:38:39.467119
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48208.482
Minimum13
Maximum95286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:38:39.566624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile5329.9
Q124482
median48268.5
Q371914
95-th percentile90777.55
Maximum95286
Range95273
Interquartile range (IQR)47432

Descriptive statistics

Standard deviation27360.552
Coefficient of variation (CV)0.56754644
Kurtosis-1.1917785
Mean48208.482
Median Absolute Deviation (MAD)23735.5
Skewness-0.013202112
Sum4.8208482 × 108
Variance7.4859983 × 108
MonotonicityNot monotonic
2023-12-12T19:38:39.725781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35566 1
 
< 0.1%
69624 1
 
< 0.1%
113 1
 
< 0.1%
60818 1
 
< 0.1%
80361 1
 
< 0.1%
71329 1
 
< 0.1%
39400 1
 
< 0.1%
46147 1
 
< 0.1%
6282 1
 
< 0.1%
11325 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
13 1
< 0.1%
26 1
< 0.1%
28 1
< 0.1%
31 1
< 0.1%
42 1
< 0.1%
45 1
< 0.1%
58 1
< 0.1%
71 1
< 0.1%
94 1
< 0.1%
96 1
< 0.1%
ValueCountFrequency (%)
95286 1
< 0.1%
95273 1
< 0.1%
95257 1
< 0.1%
95255 1
< 0.1%
95242 1
< 0.1%
95239 1
< 0.1%
95206 1
< 0.1%
95193 1
< 0.1%
95192 1
< 0.1%
95160 1
< 0.1%

접수경로명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이동전화
4271 
기타
4256 
일반전화
1291 
IP전화
 
163
공중전화
 
11
Other values (2)
 
8

Length

Max length5
Median length4
Mean length3.1491
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이동전화
2nd row이동전화
3rd row이동전화
4th row기타
5th row이동전화

Common Values

ValueCountFrequency (%)
이동전화 4271
42.7%
기타 4256
42.6%
일반전화 1291
 
12.9%
IP전화 163
 
1.6%
공중전화 11
 
0.1%
사후각지 5
 
0.1%
시스템입력 3
 
< 0.1%

Length

2023-12-12T19:38:39.923406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:38:40.108562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동전화 4271
42.7%
기타 4256
42.6%
일반전화 1291
 
12.9%
ip전화 163
 
1.6%
공중전화 11
 
0.1%
사후각지 5
 
< 0.1%
시스템입력 3
 
< 0.1%

접수일시
Date

Distinct583
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2012-07-01 00:00:00
Maximum2014-02-06 00:00:00
2023-12-12T19:38:40.298367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:38:40.503092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일시(상세)
Date

Distinct9243
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:14
Maximum2023-12-12 23:59:59
2023-12-12T19:38:40.693080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:38:40.918862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

타시도신고여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아니오
9691 
예
 
293
<NA>
 
16

Length

Max length4
Median length3
Mean length2.943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 9691
96.9%
예 293
 
2.9%
<NA> 16
 
0.2%

Length

2023-12-12T19:38:41.144980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:38:41.305950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 9691
96.9%
예 293
 
2.9%
na 16
 
0.2%

Interactions

2023-12-12T19:38:38.789751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:38:41.407575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호접수경로명타시도신고여부
일련번호1.0000.1850.113
접수경로명0.1851.0000.604
타시도신고여부0.1130.6041.000
2023-12-12T19:38:41.554475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수경로명타시도신고여부
접수경로명1.0000.439
타시도신고여부0.4391.000
2023-12-12T19:38:41.696078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호접수경로명타시도신고여부
일련번호1.0000.0940.086
접수경로명0.0941.0000.439
타시도신고여부0.0860.4391.000

Missing values

2023-12-12T19:38:39.310871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:38:39.418214image/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

일련번호접수경로명접수일시접수일시(상세)타시도신고여부
3556735566이동전화2013-03-0700:43:26아니오
36013600이동전화2012-07-1717:19:19아니오
82248223이동전화2012-08-2319:03:44아니오
5106851067기타2013-06-1410:04:44아니오
5816458163이동전화2013-07-2408:12:17아니오
5397953978기타2013-06-2100:14:19아니오
4173441733이동전화2013-04-2813:31:33아니오
5453854537기타2013-07-0217:09:04아니오
3881338812기타2013-04-0414:20:33아니오
3257132570기타2013-02-1702:22:22아니오
일련번호접수경로명접수일시접수일시(상세)타시도신고여부
8648686485일반전화2013-12-1013:11:53아니오
5983959838기타2013-07-1214:42:00아니오
5805958058기타2013-07-1401:42:31아니오
2631626315IP전화2013-01-1321:47:21아니오
6600266001이동전화2013-09-0523:20:33아니오
8827188270이동전화2013-12-2017:00:17아니오
2647726476기타2013-01-2214:53:49아니오
4085440853기타2013-04-1209:12:19아니오
5914159140기타2013-07-1506:37:37아니오
8589485893기타2013-12-1503:07:37아니오