Overview

Dataset statistics

Number of variables2
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory489.0 B
Average record size in memory23.3 B

Variable types

Numeric1
Text1

Dataset

Description검색분류코드,검색분류명
Author120다산콜재단
URLhttps://data.seoul.go.kr/dataList/OA-1125/S/1/datasetView.do

Alerts

검색분류코드 has unique valuesUnique
검색분류명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 04:52:03.991890
Analysis finished2023-12-11 04:52:04.312156
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검색분류코드
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22214163
Minimum22213012
Maximum22214339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T13:52:04.396726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22213012
5-th percentile22214000
Q122214080
median22214324
Q322214331
95-th percentile22214338
Maximum22214339
Range1327
Interquartile range (IQR)251

Descriptive statistics

Standard deviation293.3112
Coefficient of variation (CV)1.3203793 × 10-5
Kurtosis12.592635
Mean22214163
Median Absolute Deviation (MAD)15
Skewness-3.2442291
Sum4.6649742 × 108
Variance86031.462
MonotonicityStrictly increasing
2023-12-11T13:52:04.845633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
22213012 1
 
4.8%
22214000 1
 
4.8%
22214339 1
 
4.8%
22214338 1
 
4.8%
22214337 1
 
4.8%
22214335 1
 
4.8%
22214332 1
 
4.8%
22214331 1
 
4.8%
22214330 1
 
4.8%
22214329 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
22213012 1
4.8%
22214000 1
4.8%
22214024 1
4.8%
22214047 1
4.8%
22214061 1
4.8%
22214080 1
4.8%
22214095 1
4.8%
22214136 1
4.8%
22214153 1
4.8%
22214161 1
4.8%
ValueCountFrequency (%)
22214339 1
4.8%
22214338 1
4.8%
22214337 1
4.8%
22214335 1
4.8%
22214332 1
4.8%
22214331 1
4.8%
22214330 1
4.8%
22214329 1
4.8%
22214328 1
4.8%
22214327 1
4.8%

검색분류명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T13:52:05.084999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7619048
Min length2

Characters and Unicode

Total characters100
Distinct characters61
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

Unique21 ?
Unique (%)100.0%

Sample

1st row기타
2nd row개인과가정
3rd row구정일반
4th row기업과경제
5th row문화와여가
ValueCountFrequency (%)
기타 1
 
4.8%
일반공공행정 1
 
4.8%
환경보호 1
 
4.8%
보건 1
 
4.8%
수송및교통 1
 
4.8%
문화체육관광 1
 
4.8%
과학기술 1
 
4.8%
사회복지 1
 
4.8%
교육 1
 
4.8%
농림해양수산 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T13:52:05.511481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
7.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
Other values (51) 67
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
7.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
Other values (51) 67
67.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
7.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
Other values (51) 67
67.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
7.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
Other values (51) 67
67.0%

Interactions

2023-12-11T13:52:04.075068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:52:05.642565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검색분류코드검색분류명
검색분류코드1.0001.000
검색분류명1.0001.000

Missing values

2023-12-11T13:52:04.210613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:52:04.281651image/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

검색분류코드검색분류명
022213012기타
122214000개인과가정
222214024구정일반
322214047기업과경제
422214061문화와여가
522214080사회보장과복지
622214095서비스와생활
722214136자연과환경
822214153재난과안전
922214161제조건설과개발
검색분류코드검색분류명
1122214327일반공공행정
1222214328농림해양수산
1322214329교육
1422214330사회복지
1522214331과학기술
1622214332문화체육관광
1722214335수송및교통
1822214337보건
1922214338환경보호
2022214339지역개발