Overview

Dataset statistics

Number of variables2
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory897.0 B
Average record size in memory19.9 B

Variable types

Text1
Numeric1

Dataset

Description강릉시 읍면동, 원격검침기 설치현황을 제공합니다. 신청인에게 직접 제공한 PDF파일을 csv로 변환하였습니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15106589/fileData.do

Alerts

법정동 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:29:59.588652
Analysis finished2023-12-12 09:29:59.917923
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T18:30:00.102929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters135
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

Unique45 ?
Unique (%)100.0%

Sample

1st row홍제동
2nd row노암동
3rd row주문진읍
4th row교동
5th row연곡면
ValueCountFrequency (%)
홍제동 1
 
2.2%
성남동 1
 
2.2%
성산면 1
 
2.2%
송정동 1
 
2.2%
신석동 1
 
2.2%
안현동 1
 
2.2%
옥천동 1
 
2.2%
용강동 1
 
2.2%
운산동 1
 
2.2%
운정동 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T18:30:00.548189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 39
28.9%
산 7
 
5.2%
면 6
 
4.4%
남 4
 
3.0%
강 3
 
2.2%
곡 3
 
2.2%
천 3
 
2.2%
정 3
 
2.2%
성 3
 
2.2%
문 3
 
2.2%
Other values (51) 61
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
28.9%
산 7
 
5.2%
면 6
 
4.4%
남 4
 
3.0%
강 3
 
2.2%
곡 3
 
2.2%
천 3
 
2.2%
정 3
 
2.2%
성 3
 
2.2%
문 3
 
2.2%
Other values (51) 61
45.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
28.9%
산 7
 
5.2%
면 6
 
4.4%
남 4
 
3.0%
강 3
 
2.2%
곡 3
 
2.2%
천 3
 
2.2%
정 3
 
2.2%
성 3
 
2.2%
문 3
 
2.2%
Other values (51) 61
45.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 39
28.9%
산 7
 
5.2%
면 6
 
4.4%
남 4
 
3.0%
강 3
 
2.2%
곡 3
 
2.2%
천 3
 
2.2%
정 3
 
2.2%
성 3
 
2.2%
문 3
 
2.2%
Other values (51) 61
45.2%

단말기수
Real number (ℝ)

Distinct41
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.26667
Minimum1
Maximum5784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T18:30:00.711026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q119
median46
Q3224
95-th percentile1884.6
Maximum5784
Range5783
Interquartile range (IQR)205

Descriptive statistics

Standard deviation1187.4704
Coefficient of variation (CV)2.2693408
Kurtosis11.862903
Mean523.26667
Median Absolute Deviation (MAD)40
Skewness3.344013
Sum23547
Variance1410085.9
MonotonicityNot monotonic
2023-12-12T18:30:00.846272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
34 2
 
4.4%
2 2
 
4.4%
29 2
 
4.4%
12 2
 
4.4%
165 1
 
2.2%
24 1
 
2.2%
728 1
 
2.2%
1 1
 
2.2%
11 1
 
2.2%
104 1
 
2.2%
Other values (31) 31
68.9%
ValueCountFrequency (%)
1 1
2.2%
2 2
4.4%
6 1
2.2%
7 1
2.2%
9 1
2.2%
11 1
2.2%
12 2
4.4%
14 1
2.2%
17 1
2.2%
19 1
2.2%
ValueCountFrequency (%)
5784 1
2.2%
4917 1
2.2%
1895 1
2.2%
1843 1
2.2%
1747 1
2.2%
1501 1
2.2%
1396 1
2.2%
1237 1
2.2%
728 1
2.2%
388 1
2.2%

Interactions

2023-12-12T18:29:59.677964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:00.931037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동단말기수
법정동1.0001.000
단말기수1.0001.000

Missing values

2023-12-12T18:29:59.815406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:29:59.887658image/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

법정동단말기수
0홍제동165
1노암동224
2주문진읍5784
3교동130
4연곡면1237
5옥계면1396
6포남동4917
7지변동196
8강동면1843
9강문동29
법정동단말기수
35초당동139
36학동2
37입암동225
38견소동2
39죽헌동23
40임당동95
41회산동80
42유천동65
43저동34
44청량동12