Overview

Dataset statistics

Number of variables4
Number of observations2792
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.6 KiB
Average record size in memory35.0 B

Variable types

DateTime1
Numeric3

Dataset

Description뉴스데이터베이스 "BIGKinds" 에서 54개 신문방송의 뉴스를 분석한 메타정보.일자별 보도에서 이상동기(묻지마)범죄, 폭력·강도·살인 범죄, 성범죄 보도율을 제공https://www.bigkinds.or.kr 에 접속하면 보다 많은 정보를 확인할 수 있습니다.
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/15125434/fileData.do

Alerts

날짜 has unique valuesUnique
이상동기 범죄 보도율(퍼센트) has 2264 (81.1%) zerosZeros
성범죄 보도율(퍼센트) has 110 (3.9%) zerosZeros

Reproduction

Analysis started2024-03-14 13:33:00.802344
Analysis finished2024-03-14 13:33:03.972333
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct2792
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
Minimum2016-02-22 00:00:00
Maximum2023-10-14 00:00:00
2024-03-14T22:33:04.188993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:04.637731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이상동기 범죄 보도율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct318
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19504435
Minimum0
Maximum10.569106
Zeros2264
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-03-14T22:33:05.062663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.0710596
Maximum10.569106
Range10.569106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67474879
Coefficient of variation (CV)3.4594633
Kurtosis75.837856
Mean0.19504435
Median Absolute Deviation (MAD)0
Skewness7.4071666
Sum544.56383
Variance0.45528593
MonotonicityNot monotonic
2024-03-14T22:33:05.500915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2264
81.1%
1.123595506 6
 
0.2%
0.99009901 6
 
0.2%
0.465116279 5
 
0.2%
0.980392157 5
 
0.2%
0.420168067 5
 
0.2%
0.485436893 5
 
0.2%
0.366300366 5
 
0.2%
0.425531915 5
 
0.2%
0.487804878 4
 
0.1%
Other values (308) 482
 
17.3%
ValueCountFrequency (%)
0.0 2264
81.1%
0.253807107 1
 
< 0.1%
0.264550265 1
 
< 0.1%
0.265251989 1
 
< 0.1%
0.274725275 1
 
< 0.1%
0.280112045 1
 
< 0.1%
0.280898876 1
 
< 0.1%
0.286532951 1
 
< 0.1%
0.287356322 1
 
< 0.1%
0.293255132 1
 
< 0.1%
ValueCountFrequency (%)
10.56910569 1
< 0.1%
9.243697479 1
< 0.1%
8.938547486 1
< 0.1%
8.38150289 1
< 0.1%
8.064516129 1
< 0.1%
7.407407407 1
< 0.1%
6.862745098 1
< 0.1%
6.557377049 1
< 0.1%
5.223880597 1
< 0.1%
5.109489051 1
< 0.1%

폭력 강도 살인 범죄 보도율(퍼센트)
Real number (ℝ)

Distinct1848
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.730171
Minimum0
Maximum40
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-03-14T22:33:05.916858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9241533
Q110.032109
median13.253012
Q316.798476
95-th percentile23.029518
Maximum40
Range40
Interquartile range (IQR)6.7663671

Descriptive statistics

Standard deviation5.3029846
Coefficient of variation (CV)0.38622859
Kurtosis1.2365949
Mean13.730171
Median Absolute Deviation (MAD)3.352022
Skewness0.69099038
Sum38334.638
Variance28.121646
MonotonicityNot monotonic
2024-03-14T22:33:06.372436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.28571429 19
 
0.7%
12.5 15
 
0.5%
15.38461538 14
 
0.5%
16.66666667 13
 
0.5%
11.11111111 11
 
0.4%
20.0 10
 
0.4%
8.333333333 9
 
0.3%
10.25641026 9
 
0.3%
10.22727273 8
 
0.3%
10.0 8
 
0.3%
Other values (1838) 2676
95.8%
ValueCountFrequency (%)
0.0 1
< 0.1%
1.265822785 1
< 0.1%
1.619433198 1
< 0.1%
1.652892562 2
0.1%
1.680672269 1
< 0.1%
2.0 1
< 0.1%
2.02020202 1
< 0.1%
2.109704641 1
< 0.1%
2.127659574 1
< 0.1%
2.197802198 1
< 0.1%
ValueCountFrequency (%)
40.0 1
< 0.1%
38.52459016 1
< 0.1%
37.5 1
< 0.1%
36.74242424 1
< 0.1%
36.58536585 1
< 0.1%
36.55913978 1
< 0.1%
35.8974359 1
< 0.1%
35.45454545 1
< 0.1%
35.42435424 1
< 0.1%
35.29411765 1
< 0.1%

성범죄 보도율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct1456
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1901951
Minimum0
Maximum36.585366
Zeros110
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-03-14T22:33:06.794520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.49314404
Q11.9540793
median3.2921811
Q35.4545455
95-th percentile10.89919
Maximum36.585366
Range36.585366
Interquartile range (IQR)3.5004662

Descriptive statistics

Standard deviation3.5090403
Coefficient of variation (CV)0.8374408
Kurtosis8.4035153
Mean4.1901951
Median Absolute Deviation (MAD)1.6162034
Skewness2.2442309
Sum11699.025
Variance12.313364
MonotonicityNot monotonic
2024-03-14T22:33:07.244302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 110
 
3.9%
4.0 14
 
0.5%
2.564102564 14
 
0.5%
3.125 13
 
0.5%
2.380952381 12
 
0.4%
5.263157895 12
 
0.4%
2.777777778 11
 
0.4%
2.43902439 11
 
0.4%
2.083333333 11
 
0.4%
2.272727273 11
 
0.4%
Other values (1446) 2573
92.2%
ValueCountFrequency (%)
0.0 110
3.9%
0.321543408 1
 
< 0.1%
0.333333333 1
 
< 0.1%
0.334448161 1
 
< 0.1%
0.336700337 1
 
< 0.1%
0.354609929 1
 
< 0.1%
0.366300366 1
 
< 0.1%
0.371747212 2
 
0.1%
0.377358491 1
 
< 0.1%
0.384615385 1
 
< 0.1%
ValueCountFrequency (%)
36.58536585 1
< 0.1%
26.4957265 1
< 0.1%
26.06382979 1
< 0.1%
25.55205047 1
< 0.1%
24.50331126 1
< 0.1%
24.08376963 1
< 0.1%
23.52941176 1
< 0.1%
23.02631579 1
< 0.1%
22.11538462 1
< 0.1%
21.97309417 1
< 0.1%

Interactions

2024-03-14T22:33:02.641218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:00.973396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:01.785890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:02.908823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:01.234256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:02.059215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:03.198155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:01.512675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:33:02.353466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:33:07.518133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이상동기 범죄 보도율(퍼센트)폭력 강도 살인 범죄 보도율(퍼센트)성범죄 보도율(퍼센트)
이상동기 범죄 보도율(퍼센트)1.0000.3260.000
폭력 강도 살인 범죄 보도율(퍼센트)0.3261.0000.384
성범죄 보도율(퍼센트)0.0000.3841.000
2024-03-14T22:33:07.774672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이상동기 범죄 보도율(퍼센트)폭력 강도 살인 범죄 보도율(퍼센트)성범죄 보도율(퍼센트)
이상동기 범죄 보도율(퍼센트)1.0000.1860.059
폭력 강도 살인 범죄 보도율(퍼센트)0.1861.0000.453
성범죄 보도율(퍼센트)0.0590.4531.000

Missing values

2024-03-14T22:33:03.556796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:33:03.848184image/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

날짜이상동기 범죄 보도율(퍼센트)폭력 강도 살인 범죄 보도율(퍼센트)성범죄 보도율(퍼센트)
02016-02-220.07.7981653.669725
12016-02-230.08.4210530.526316
22016-02-240.010.270272.162162
32016-02-250.09.909913.153153
42016-02-260.014.3646412.209945
52016-02-270.02.1978020.0
62016-02-280.05.9405942.970297
72016-02-290.018.8311694.545455
82016-03-010.05.04.0
92016-03-020.6896556.8965523.448276
날짜이상동기 범죄 보도율(퍼센트)폭력 강도 살인 범죄 보도율(퍼센트)성범죄 보도율(퍼센트)
27822023-10-050.013.4883724.186047
27832023-10-060.012.9554662.42915
27842023-10-070.019.04761911.111111
27852023-10-081.47058819.1176477.352941
27862023-10-090.93457921.4953276.542056
27872023-10-100.013.6563883.0837
27882023-10-110.014.0909091.818182
27892023-10-120.39062512.52.734375
27902023-10-130.016.7400885.286344
27912023-10-140.022.51.25