Overview

Dataset statistics

Number of variables5
Number of observations5132
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory210.6 KiB
Average record size in memory42.0 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description피해자 지원 상담 데이터
Author한국피해자지원협회
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MSK6KRBCYJ5M88B4RBF331562369&infSeq=1

Alerts

아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:21:46.181325
Analysis finished2023-12-10 22:21:46.839102
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

UNIQUE 

Distinct5132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2581.6684
Minimum1
Maximum5170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.2 KiB
2023-12-11T07:21:46.902216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.55
Q11293.75
median2578.5
Q33866.25
95-th percentile4913.45
Maximum5170
Range5169
Interquartile range (IQR)2572.5

Descriptive statistics

Standard deviation1490.9411
Coefficient of variation (CV)0.57751068
Kurtosis-1.1945276
Mean2581.6684
Median Absolute Deviation (MAD)1286.5
Skewness0.0056400326
Sum13249122
Variance2222905.2
MonotonicityStrictly increasing
2023-12-11T07:21:47.008496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3545 1
 
< 0.1%
3443 1
 
< 0.1%
3442 1
 
< 0.1%
3441 1
 
< 0.1%
3440 1
 
< 0.1%
3439 1
 
< 0.1%
3438 1
 
< 0.1%
3437 1
 
< 0.1%
3436 1
 
< 0.1%
Other values (5122) 5122
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5170 1
< 0.1%
5169 1
< 0.1%
5168 1
< 0.1%
5167 1
< 0.1%
5166 1
< 0.1%
5165 1
< 0.1%
5164 1
< 0.1%
5163 1
< 0.1%
5162 1
< 0.1%
5161 1
< 0.1%

피해자나이
Real number (ℝ)

Distinct90
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.468239
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.2 KiB
2023-12-11T07:21:47.115186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q126
median40
Q353
95-th percentile68
Maximum94
Range93
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.450429
Coefficient of variation (CV)0.40650222
Kurtosis-0.63012204
Mean40.468239
Median Absolute Deviation (MAD)13
Skewness0.30404083
Sum207683
Variance270.61661
MonotonicityNot monotonic
2023-12-11T07:21:47.221328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 146
 
2.8%
25 145
 
2.8%
24 134
 
2.6%
26 131
 
2.6%
22 121
 
2.4%
40 120
 
2.3%
20 117
 
2.3%
21 115
 
2.2%
37 111
 
2.2%
30 111
 
2.2%
Other values (80) 3881
75.6%
ValueCountFrequency (%)
1 3
 
0.1%
3 1
 
< 0.1%
5 6
0.1%
6 6
0.1%
7 8
0.2%
8 9
0.2%
9 5
0.1%
10 9
0.2%
11 8
0.2%
12 12
0.2%
ValueCountFrequency (%)
94 2
 
< 0.1%
92 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%
87 3
0.1%
86 5
0.1%
85 5
0.1%
84 1
 
< 0.1%
83 6
0.1%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
F
3395 
M
1737 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
F 3395
66.2%
M 1737
33.8%

Length

2023-12-11T07:21:47.325821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:21:47.405545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 3395
66.2%
m 1737
33.8%

소재지주소
Categorical

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
서울특별시
1687 
경기도
1152 
충청북도
418 
대전광역시
365 
인천광역시
265 
Other values (12)
1245 

Length

Max length7
Median length5
Mean length4.3456742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row강원도
3rd row경기도
4th row울산광역시
5th row전라북도

Common Values

ValueCountFrequency (%)
서울특별시 1687
32.9%
경기도 1152
22.4%
충청북도 418
 
8.1%
대전광역시 365
 
7.1%
인천광역시 265
 
5.2%
대구광역시 229
 
4.5%
부산광역시 175
 
3.4%
충청남도 173
 
3.4%
전라남도 167
 
3.3%
울산광역시 146
 
2.8%
Other values (7) 355
 
6.9%

Length

2023-12-11T07:21:47.489574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 1687
32.9%
경기도 1152
22.4%
충청북도 418
 
8.1%
대전광역시 365
 
7.1%
인천광역시 265
 
5.2%
대구광역시 229
 
4.5%
부산광역시 175
 
3.4%
충청남도 173
 
3.4%
전라남도 167
 
3.3%
울산광역시 146
 
2.8%
Other values (7) 355
 
6.9%

피해유형
Text

Distinct278
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
2023-12-11T07:21:47.673317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length46
Mean length8.5639127
Min length2

Characters and Unicode

Total characters43950
Distinct characters162
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)3.3%

Sample

1st row상해/강도상해/특수상해
2nd row강간/유사강간
3rd row기타(협박)
4th row살인/살인미수
5th row폭행/특수폭행
ValueCountFrequency (%)
상해/강도상해/특수상해 1312
23.6%
폭행/특수폭행 1094
19.7%
살인/살인미수 444
 
8.0%
가정폭력 437
 
7.9%
강간/유사강간 408
 
7.3%
강제추행 391
 
7.0%
기타(협박 244
 
4.4%
데이트폭력 195
 
3.5%
강도/강도미수 151
 
2.7%
기타(감금 129
 
2.3%
Other values (160) 761
13.7%
2023-12-11T07:21:47.981915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4788
 
10.9%
해 3972
 
9.0%
상 3971
 
9.0%
수 3133
 
7.1%
강 2831
 
6.4%
폭 2829
 
6.4%
행 2601
 
5.9%
특 2517
 
5.7%
도 1656
 
3.8%
기 978
 
2.2%
Other values (152) 14674
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36384
82.8%
Other Punctuation 5218
 
11.9%
Open Punctuation 957
 
2.2%
Close Punctuation 957
 
2.2%
Space Separator 434
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 3972
 
10.9%
상 3971
 
10.9%
수 3133
 
8.6%
강 2831
 
7.8%
폭 2829
 
7.8%
행 2601
 
7.1%
특 2517
 
6.9%
도 1656
 
4.6%
기 978
 
2.7%
타 956
 
2.6%
Other values (147) 10940
30.1%
Other Punctuation
ValueCountFrequency (%)
/ 4788
91.8%
, 430
 
8.2%
Open Punctuation
ValueCountFrequency (%)
( 957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 957
100.0%
Space Separator
ValueCountFrequency (%)
434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36384
82.8%
Common 7566
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 3972
 
10.9%
상 3971
 
10.9%
수 3133
 
8.6%
강 2831
 
7.8%
폭 2829
 
7.8%
행 2601
 
7.1%
특 2517
 
6.9%
도 1656
 
4.6%
기 978
 
2.7%
타 956
 
2.6%
Other values (147) 10940
30.1%
Common
ValueCountFrequency (%)
/ 4788
63.3%
( 957
 
12.6%
) 957
 
12.6%
434
 
5.7%
, 430
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36384
82.8%
ASCII 7566
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4788
63.3%
( 957
 
12.6%
) 957
 
12.6%
434
 
5.7%
, 430
 
5.7%
Hangul
ValueCountFrequency (%)
해 3972
 
10.9%
상 3971
 
10.9%
수 3133
 
8.6%
강 2831
 
7.8%
폭 2829
 
7.8%
행 2601
 
7.1%
특 2517
 
6.9%
도 1656
 
4.6%
기 978
 
2.7%
타 956
 
2.6%
Other values (147) 10940
30.1%

Interactions

2023-12-11T07:21:46.589502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:21:46.452784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:21:46.653819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:21:46.526106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:21:48.052961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디피해자나이성별소재지주소
아이디1.0000.0390.0890.204
피해자나이0.0391.0000.1650.185
성별0.0890.1651.0000.155
소재지주소0.2040.1850.1551.000
2023-12-11T07:21:48.122046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지주소성별
소재지주소1.0000.139
성별0.1391.000
2023-12-11T07:21:48.196821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디피해자나이성별소재지주소
아이디1.000-0.0330.0680.080
피해자나이-0.0331.0000.1260.073
성별0.0680.1261.0000.139
소재지주소0.0800.0730.1391.000

Missing values

2023-12-11T07:21:46.733639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:21:46.807670image/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

아이디피해자나이성별소재지주소피해유형
0178F서울특별시상해/강도상해/특수상해
1241F강원도강간/유사강간
2357F경기도기타(협박)
3456M울산광역시살인/살인미수
4560F전라북도폭행/특수폭행
5626F서울특별시가정폭력
6723F서울특별시가정폭력
7843F대전광역시폭행/특수폭행
8938M경기도기타(협박)
91057M서울특별시폭행/특수폭행
아이디피해자나이성별소재지주소피해유형
5122516146F경기도강제추행
5123516218F경기도데이트폭력
5124516361F경기도상해/강도상해/특수상해
5125516446F경기도폭행/특수폭행
5126516537F경기도폭행/특수폭행
5127516644F경기도상해/강도상해/특수상해
5128516746F경기도강간/유사강간
5129516822F경기도살인/살인미수
5130516957F경기도가정폭력
5131517015M경기도기타(감금)