Overview

Dataset statistics

Number of variables4
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.0%
Total size in memory3.4 KiB
Average record size in memory35.3 B

Variable types

Numeric2
Categorical1
Text1

Dataset

Description내부시스템에서 사용하는 관리용 코드매핑 데이터이며, 전국 지방 검찰청 목록에 대한 데이터입니다. * (항목명) 지방관서코드,지방관서명칭,관할검찰청코드,관할검찰명칭 ** 내부 통계관리용 데이터이므로, 타시스템의 데이터와 다소 차이가 있을 수 있습니다.
URLhttps://www.data.go.kr/data/15049597/fileData.do

Alerts

Dataset has 1 (1.0%) duplicate rowsDuplicates
지방관서코드 is highly overall correlated with 관할검찰청코드 and 1 other fieldsHigh correlation
관할검찰청코드 is highly overall correlated with 지방관서코드 and 1 other fieldsHigh correlation
지방관서명칭 is highly overall correlated with 지방관서코드 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 19:47:18.565175
Analysis finished2023-12-12 19:47:19.558139
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지방관서코드
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4370
Minimum2000
Maximum7230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-13T04:47:19.656351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2039
Q13005
median4130
Q36110
95-th percentile7211
Maximum7230
Range5230
Interquartile range (IQR)3105

Descriptive statistics

Standard deviation1783.4231
Coefficient of variation (CV)0.40810597
Kurtosis-1.2817186
Mean4370
Median Absolute Deviation (MAD)1870
Skewness0.18571036
Sum432630
Variance3180598
MonotonicityNot monotonic
2023-12-13T04:47:19.871974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4140 4
 
4.0%
7220 4
 
4.0%
6210 3
 
3.0%
4110 3
 
3.0%
4010 3
 
3.0%
4000 3
 
3.0%
3130 3
 
3.0%
6110 3
 
3.0%
3110 3
 
3.0%
5130 3
 
3.0%
Other values (39) 67
67.7%
ValueCountFrequency (%)
2000 2
2.0%
2010 1
 
1.0%
2020 1
 
1.0%
2030 1
 
1.0%
2040 1
 
1.0%
2050 2
2.0%
2060 3
3.0%
2110 3
3.0%
2120 3
3.0%
2130 3
3.0%
ValueCountFrequency (%)
7230 1
 
1.0%
7220 4
4.0%
7210 3
3.0%
7120 2
2.0%
7110 2
2.0%
7000 3
3.0%
6310 1
 
1.0%
6220 1
 
1.0%
6210 3
3.0%
6130 2
2.0%

지방관서명칭
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size924.0 B
대구지방고용노동청안동지청
 
4
대전지방고용노동청보령지청
 
4
중부지방고용노동청강릉지청
 
3
대구지방고용노동청대구서부지청
 
3
대전지방고용노동청천안지청
 
3
Other values (43)
82 

Length

Max length15
Median length13
Mean length12.828283
Min length9

Unique

Unique17 ?
Unique (%)17.2%

Sample

1st row서울지방고용노동청
2nd row서울지방고용노동청
3rd row서울지방고용노동청서울강남지청
4th row서울지방고용노동청서울동부지청
5th row서울지방고용노동청서울서부지청

Common Values

ValueCountFrequency (%)
대구지방고용노동청안동지청 4
 
4.0%
대전지방고용노동청보령지청 4
 
4.0%
중부지방고용노동청강릉지청 3
 
3.0%
대구지방고용노동청대구서부지청 3
 
3.0%
대전지방고용노동청천안지청 3
 
3.0%
중부지방고용노동청의정부지청 3
 
3.0%
서울지방고용노동청서울관악지청 3
 
3.0%
중부지방고용노동청강원지청 3
 
3.0%
대구지방고용노동청 3
 
3.0%
중부지방고용노동청태백지청 3
 
3.0%
Other values (38) 67
67.7%

Length

2023-12-13T04:47:20.081835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구지방고용노동청안동지청 4
 
4.0%
대전지방고용노동청보령지청 4
 
4.0%
광주지방고용노동청목포지청 3
 
3.0%
대전지방고용노동청 3
 
3.0%
부산지방고용노동청양산지청 3
 
3.0%
광주지방고용노동청전주지청 3
 
3.0%
부산지방고용노동청창원지청 3
 
3.0%
대구지방고용노동청포항지청 3
 
3.0%
부산지방고용노동청 3
 
3.0%
중부지방고용노동청안양지청 3
 
3.0%
Other values (38) 67
67.7%

관할검찰청코드
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4165.9495
Minimum2000
Maximum7009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-13T04:47:20.280327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2000.9
Q12506
median4004
Q36002.5
95-th percentile7005
Maximum7009
Range5009
Interquartile range (IQR)3496.5

Descriptive statistics

Standard deviation1787.9885
Coefficient of variation (CV)0.42919111
Kurtosis-1.285883
Mean4165.9495
Median Absolute Deviation (MAD)1994
Skewness0.27663348
Sum412429
Variance3196902.8
MonotonicityNot monotonic
2023-12-13T04:47:20.479784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 5
 
5.1%
2010 3
 
3.0%
4007 3
 
3.0%
5002 3
 
3.0%
3000 3
 
3.0%
4006 3
 
3.0%
7003 3
 
3.0%
6006 2
 
2.0%
6008 2
 
2.0%
6005 2
 
2.0%
Other values (50) 70
70.7%
ValueCountFrequency (%)
2000 5
5.1%
2001 2
 
2.0%
2002 1
 
1.0%
2003 2
 
2.0%
2004 1
 
1.0%
2005 2
 
2.0%
2006 2
 
2.0%
2007 1
 
1.0%
2008 2
 
2.0%
2009 1
 
1.0%
ValueCountFrequency (%)
7009 1
 
1.0%
7008 1
 
1.0%
7007 1
 
1.0%
7006 1
 
1.0%
7005 2
2.0%
7004 1
 
1.0%
7003 3
3.0%
7002 2
2.0%
7001 2
2.0%
7000 1
 
1.0%

관할검찰명칭
Text

Distinct60
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-13T04:47:20.728308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.9292929
Min length7

Characters and Unicode

Total characters983
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)30.3%

Sample

1st row서울중앙지방검찰청
2nd row서울북부지방검찰청
3rd row서울중앙지방검찰청
4th row서울동부지방검찰청
5th row서울서부지방검찰청
ValueCountFrequency (%)
서울중앙지방검찰청 5
 
5.1%
부산지방검찰청 3
 
3.0%
수원지방검찰청 3
 
3.0%
춘천지방검찰청영월지청 3
 
3.0%
대전지방검찰청서산지청 3
 
3.0%
대구지방검찰청영덕지청 3
 
3.0%
대구지방검찰청의성지청 3
 
3.0%
대구지방검찰청 2
 
2.0%
전주지방검찰청군산지청 2
 
2.0%
서울북부지방검찰청 2
 
2.0%
Other values (50) 70
70.7%
2023-12-13T04:47:21.136494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 168
17.1%
지 164
16.7%
방 99
10.1%
검 99
10.1%
찰 99
10.1%
주 28
 
2.8%
대 28
 
2.8%
부 26
 
2.6%
서 19
 
1.9%
산 19
 
1.9%
Other values (53) 234
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 983
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 168
17.1%
지 164
16.7%
방 99
10.1%
검 99
10.1%
찰 99
10.1%
주 28
 
2.8%
대 28
 
2.8%
부 26
 
2.6%
서 19
 
1.9%
산 19
 
1.9%
Other values (53) 234
23.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 983
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 168
17.1%
지 164
16.7%
방 99
10.1%
검 99
10.1%
찰 99
10.1%
주 28
 
2.8%
대 28
 
2.8%
부 26
 
2.6%
서 19
 
1.9%
산 19
 
1.9%
Other values (53) 234
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 983
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 168
17.1%
지 164
16.7%
방 99
10.1%
검 99
10.1%
찰 99
10.1%
주 28
 
2.8%
대 28
 
2.8%
부 26
 
2.6%
서 19
 
1.9%
산 19
 
1.9%
Other values (53) 234
23.8%

Interactions

2023-12-13T04:47:19.124837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:47:18.888555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:47:19.243261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:47:19.010752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:47:21.246332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지방관서코드지방관서명칭관할검찰청코드관할검찰명칭
지방관서코드1.0000.9980.9790.994
지방관서명칭0.9981.0000.9420.839
관할검찰청코드0.9790.9421.0001.000
관할검찰명칭0.9940.8391.0001.000
2023-12-13T04:47:21.352553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지방관서코드관할검찰청코드지방관서명칭
지방관서코드1.0000.9100.744
관할검찰청코드0.9101.0000.534
지방관서명칭0.7440.5341.000

Missing values

2023-12-13T04:47:19.386999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:19.500982image/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

지방관서코드지방관서명칭관할검찰청코드관할검찰명칭
02000서울지방고용노동청2000서울중앙지방검찰청
12000서울지방고용노동청2003서울북부지방검찰청
22010서울지방고용노동청서울강남지청2000서울중앙지방검찰청
32020서울지방고용노동청서울동부지청2002서울동부지방검찰청
42030서울지방고용노동청서울서부지청2004서울서부지방검찰청
52040서울지방고용노동청서울남부지청2001서울남부지방검찰청
62050서울지방고용노동청서울북부지청2000서울중앙지방검찰청
72050서울지방고용노동청서울북부지청2003서울북부지방검찰청
82060서울지방고용노동청서울관악지청2000서울중앙지방검찰청
92060서울지방고용노동청서울관악지청2001서울남부지방검찰청
지방관서코드지방관서명칭관할검찰청코드관할검찰명칭
897210대전지방고용노동청천안지청7003대전지방검찰청서산지청
907210대전지방고용노동청천안지청7004대전지방검찰청천안지청
917210대전지방고용노동청천안지청7005대전지방검찰청홍성지청
927220대전지방고용노동청보령지청7001대전지방검찰청공주지청
937220대전지방고용노동청보령지청7002대전지방검찰청논산지청
947220대전지방고용노동청보령지청7003대전지방검찰청서산지청
957220대전지방고용노동청보령지청7005대전지방검찰청홍성지청
967230대전지방고용노동청서산출장소7003대전지방검찰청서산지청
972060서울지방고용노동청서울관악지청2000서울중앙지방검찰청
985150중부지방고용노동청의정부지청2006의정부지방검찰청고양지청

Duplicate rows

Most frequently occurring

지방관서코드지방관서명칭관할검찰청코드관할검찰명칭# duplicates
02060서울지방고용노동청서울관악지청2000서울중앙지방검찰청2