Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
DateTime1
Text1
Categorical1

Dataset

Description1. 한국방송통신전파진흥원 무선국검사관리시스템에서 보유하고 있는 무선국종별현황 정보입니다. 2. 데이터 양이 많아 기지국 종의 3개년 자료를 제공합니다. (2021~2023) ※ 개인정보 및 법인(시설자)와 관련한 민감정보는 비식별화 코드 부여, 제외하여 부분공개
URLhttps://www.data.go.kr/data/15119710/fileData.do

Alerts

무선국종 has constant value ""Constant
구분코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:53:17.010597
Analysis finished2023-12-12 20:53:17.990617
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안테나전력값
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.64754
Minimum0.05
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:53:18.054050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile20
Q130
median80
Q3117
95-th percentile320
Maximum320
Range319.95
Interquartile range (IQR)87

Descriptive statistics

Standard deviation86.166665
Coefficient of variation (CV)0.87348012
Kurtosis1.3210561
Mean98.64754
Median Absolute Deviation (MAD)40
Skewness1.4342545
Sum986475.4
Variance7424.6941
MonotonicityNot monotonic
2023-12-13T05:53:18.200163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
40.0 1621
16.2%
30.0 1179
11.8%
100.0 1171
11.7%
20.0 1074
10.7%
117.0 1064
10.6%
320.0 920
9.2%
60.0 624
 
6.2%
200.0 525
 
5.2%
128.0 459
 
4.6%
160.0 375
 
3.8%
Other values (30) 988
9.9%
ValueCountFrequency (%)
0.05 8
0.1%
0.1 10
0.1%
1.0 1
 
< 0.1%
1.6 1
 
< 0.1%
2.0 7
 
0.1%
2.5 1
 
< 0.1%
3.0 7
 
0.1%
4.0 2
 
< 0.1%
4.8 18
0.2%
5.0 18
0.2%
ValueCountFrequency (%)
320.0 920
9.2%
256.0 2
 
< 0.1%
240.0 1
 
< 0.1%
200.0 525
5.2%
198.4 22
 
0.2%
160.0 375
 
3.8%
128.0 459
 
4.6%
120.0 14
 
0.1%
117.0 1064
10.6%
100.0 1171
11.7%

장치수
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1058
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:53:18.315887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum36
Range35
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6927176
Coefficient of variation (CV)0.80383588
Kurtosis100.34622
Mean2.1058
Median Absolute Deviation (MAD)0
Skewness7.9030763
Sum21058
Variance2.8652929
MonotonicityNot monotonic
2023-12-13T05:53:18.657371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 5700
57.0%
1 2795
28.0%
3 622
 
6.2%
4 616
 
6.2%
6 65
 
0.7%
8 43
 
0.4%
5 34
 
0.3%
9 21
 
0.2%
7 21
 
0.2%
12 17
 
0.2%
Other values (18) 66
 
0.7%
ValueCountFrequency (%)
1 2795
28.0%
2 5700
57.0%
3 622
 
6.2%
4 616
 
6.2%
5 34
 
0.3%
6 65
 
0.7%
7 21
 
0.2%
8 43
 
0.4%
9 21
 
0.2%
10 14
 
0.1%
ValueCountFrequency (%)
36 1
 
< 0.1%
34 1
 
< 0.1%
32 2
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%
22 5
0.1%
20 4
< 0.1%

허가일자
Date

Distinct248
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-02 00:00:00
Maximum2021-11-05 00:00:00
2023-12-13T05:53:18.793867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:18.929991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분코드
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:53:19.290764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowC002338
2nd rowC091692
3rd rowC008332
4th rowC017683
5th rowC019201
ValueCountFrequency (%)
c002338 1
 
< 0.1%
c071752 1
 
< 0.1%
c051069 1
 
< 0.1%
c030343 1
 
< 0.1%
c087532 1
 
< 0.1%
c076288 1
 
< 0.1%
c078294 1
 
< 0.1%
c056006 1
 
< 0.1%
c046465 1
 
< 0.1%
c098862 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T05:53:19.765985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14996
21.4%
C 10000
14.3%
3 5117
 
7.3%
2 5050
 
7.2%
6 5010
 
7.2%
8 4986
 
7.1%
9 4979
 
7.1%
7 4973
 
7.1%
5 4971
 
7.1%
4 4960
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
85.7%
Uppercase Letter 10000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14996
25.0%
3 5117
 
8.5%
2 5050
 
8.4%
6 5010
 
8.3%
8 4986
 
8.3%
9 4979
 
8.3%
7 4973
 
8.3%
5 4971
 
8.3%
4 4960
 
8.3%
1 4958
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
85.7%
Latin 10000
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14996
25.0%
3 5117
 
8.5%
2 5050
 
8.4%
6 5010
 
8.3%
8 4986
 
8.3%
9 4979
 
8.3%
7 4973
 
8.3%
5 4971
 
8.3%
4 4960
 
8.3%
1 4958
 
8.3%
Latin
ValueCountFrequency (%)
C 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14996
21.4%
C 10000
14.3%
3 5117
 
7.3%
2 5050
 
7.2%
6 5010
 
7.2%
8 4986
 
7.1%
9 4979
 
7.1%
7 4973
 
7.1%
5 4971
 
7.1%
4 4960
 
7.1%

무선국종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기지국
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기지국
2nd row기지국
3rd row기지국
4th row기지국
5th row기지국

Common Values

ValueCountFrequency (%)
기지국 10000
100.0%

Length

2023-12-13T05:53:19.915199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:53:19.999522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기지국 10000
100.0%

Interactions

2023-12-13T05:53:17.562462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:17.348318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:17.706709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:17.451045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:53:20.051475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안테나전력값장치수
안테나전력값1.0000.124
장치수0.1241.000
2023-12-13T05:53:20.136230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안테나전력값장치수
안테나전력값1.000-0.130
장치수-0.1301.000

Missing values

2023-12-13T05:53:17.850761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:53:17.947443image/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

안테나전력값장치수허가일자구분코드무선국종
233720.022021-01-14C002338기지국
9169160.012021-10-18C091692기지국
8331117.032021-02-10C008332기지국
17682117.022021-03-23C017683기지국
19200117.022021-03-29C019201기지국
7038240.012021-08-20C070383기지국
35741100.012021-05-27C035742기지국
32377160.012021-05-14C032378기지국
2449030.022021-04-14C024491기지국
67423100.012021-08-11C067424기지국
안테나전력값장치수허가일자구분코드무선국종
15352160.022021-03-15C015353기지국
32283320.012021-05-13C032284기지국
48748117.022021-06-28C048749기지국
3294920.022021-05-20C032950기지국
421420.042021-01-21C004215기지국
43222320.012021-06-15C043223기지국
557230.022021-01-29C005573기지국
44219117.022021-06-17C044220기지국
39017200.022021-06-03C039018기지국
76591200.032021-09-03C076592기지국