Overview

Dataset statistics

Number of variables6
Number of observations6060
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory307.9 KiB
Average record size in memory52.0 B

Variable types

Numeric4
Categorical1
Text1

Dataset

Description1. 한국방송통신전파진흥원 무선국검사관리시스템에서 보유하고 있는 전자파강도측정현황 정보입니다. 2. 해당 데이터기준연도는 최근 3개년(2021~2023)입니다. ※ 개인정보 및 법인(시설자)와 관련한 민감정보는 비식별화 코드 부여, 제외하여 부분공개
URLhttps://www.data.go.kr/data/15119711/fileData.do

Alerts

안테나전력합계값 is highly overall correlated with 전자파강도기준값 and 2 other fieldsHigh correlation
전자파강도기준값 is highly overall correlated with 안테나전력합계값 and 2 other fieldsHigh correlation
주파수시작대역값 is highly overall correlated with 안테나전력합계값 and 2 other fieldsHigh correlation
주파수종료대역값 is highly overall correlated with 안테나전력합계값 and 2 other fieldsHigh correlation
설치장소구분코드 is highly imbalanced (60.8%)Imbalance
안테나전력합계값 is highly skewed (γ1 = 23.53158308)Skewed
구분코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:06:50.569391
Analysis finished2023-12-12 17:06:53.680710
Duration3.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안테나전력합계값
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.4153
Minimum30
Maximum32000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-13T02:06:53.777500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile40
Q160
median80
Q3100
95-th percentile240
Maximum32000
Range31970
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1092.7404
Coefficient of variation (CV)7.7822034
Kurtosis558.90102
Mean140.4153
Median Absolute Deviation (MAD)20
Skewness23.531583
Sum850916.7
Variance1194081.6
MonotonicityNot monotonic
2023-12-13T02:06:53.901679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
60.0 1879
31.0%
80.0 1206
19.9%
40.0 745
 
12.3%
120.0 584
 
9.6%
100.0 392
 
6.5%
99.0 316
 
5.2%
320.0 283
 
4.7%
117.0 188
 
3.1%
160.0 140
 
2.3%
200.0 131
 
2.2%
Other values (17) 196
 
3.2%
ValueCountFrequency (%)
30.0 2
 
< 0.1%
32.0 7
 
0.1%
40.0 745
 
12.3%
60.0 1879
31.0%
80.0 1206
19.9%
90.0 3
 
< 0.1%
99.0 316
 
5.2%
99.2 19
 
0.3%
99.3 1
 
< 0.1%
100.0 392
 
6.5%
ValueCountFrequency (%)
32000.0 1
 
< 0.1%
25000.0 10
 
0.2%
2000.0 1
 
< 0.1%
1000.0 1
 
< 0.1%
400.0 1
 
< 0.1%
324.0 1
 
< 0.1%
320.0 283
4.7%
240.0 9
 
0.1%
234.0 10
 
0.2%
200.0 131
2.2%

전자파강도기준값
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.956107
Minimum28
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-13T02:06:54.027695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile40.65
Q158.5
median61
Q361
95-th percentile61
Maximum61
Range33
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation7.9790077
Coefficient of variation (CV)0.14259405
Kurtosis-0.15685989
Mean55.956107
Median Absolute Deviation (MAD)0
Skewness-1.315371
Sum339094.01
Variance63.664564
MonotonicityNot monotonic
2023-12-13T02:06:54.133992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
61.0 3032
50.0%
58.5 1178
 
19.4%
40.65 578
 
9.5%
58.82 512
 
8.4%
40.88 425
 
7.0%
42.36 292
 
4.8%
38.23 29
 
0.5%
59.14 12
 
0.2%
28.0 2
 
< 0.1%
ValueCountFrequency (%)
28.0 2
 
< 0.1%
38.23 29
 
0.5%
40.65 578
 
9.5%
40.88 425
 
7.0%
42.36 292
 
4.8%
58.5 1178
 
19.4%
58.82 512
 
8.4%
59.14 12
 
0.2%
61.0 3032
50.0%
ValueCountFrequency (%)
61.0 3032
50.0%
59.14 12
 
0.2%
58.82 512
 
8.4%
58.5 1178
 
19.4%
42.36 292
 
4.8%
40.88 425
 
7.0%
40.65 578
 
9.5%
38.23 29
 
0.5%
28.0 2
 
< 0.1%

주파수시작대역값
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2176.2536
Minimum96.57
Maximum9374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-13T02:06:54.267069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.57
5-th percentile874
Q11810
median2110
Q33420
95-th percentile3600
Maximum9374
Range9277.43
Interquartile range (IQR)1610

Descriptive statistics

Standard deviation1002.017
Coefficient of variation (CV)0.46043209
Kurtosis4.9980549
Mean2176.2536
Median Absolute Deviation (MAD)510
Skewness1.0665896
Sum13188097
Variance1004038.1
MonotonicityNot monotonic
2023-12-13T02:06:54.440781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1810.0 1178
19.4%
3500.0 780
12.9%
2130.0 653
10.8%
3600.0 611
10.1%
874.0 578
9.5%
1830.0 512
8.4%
884.0 425
 
7.0%
2620.0 373
 
6.2%
2110.0 346
 
5.7%
949.3 256
 
4.2%
Other values (15) 348
 
5.7%
ValueCountFrequency (%)
96.57 1
 
< 0.1%
97.97 1
 
< 0.1%
773.0 29
 
0.5%
874.0 578
9.5%
884.0 425
 
7.0%
949.0 36
 
0.6%
949.3 256
 
4.2%
1810.0 1178
19.4%
1830.0 512
8.4%
1850.0 12
 
0.2%
ValueCountFrequency (%)
9374.0 2
 
< 0.1%
9365.0 8
 
0.1%
9354.0 2
 
< 0.1%
9345.0 1
 
< 0.1%
9335.0 1
 
< 0.1%
9312.5 1
 
< 0.1%
3600.0 611
10.1%
3500.0 780
12.9%
3420.0 122
 
2.0%
3400.0 3
 
< 0.1%

주파수종료대역값
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2215.4661
Minimum96.83
Maximum9486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-13T02:06:54.569907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.83
5-th percentile884
Q11830
median2130
Q33500
95-th percentile3700
Maximum9486
Range9389.17
Interquartile range (IQR)1670

Descriptive statistics

Standard deviation1032.5224
Coefficient of variation (CV)0.46605199
Kurtosis4.2789032
Mean2215.4661
Median Absolute Deviation (MAD)540
Skewness1.0210047
Sum13425724
Variance1066102.4
MonotonicityNot monotonic
2023-12-13T02:06:54.711643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1830.0 1178
19.4%
3600.0 780
12.9%
2145.0 653
10.8%
3700.0 611
10.1%
884.0 578
9.5%
894.0 425
 
7.0%
1860.0 371
 
6.1%
2670.0 356
 
5.9%
2130.0 346
 
5.7%
959.3 256
 
4.2%
Other values (17) 506
8.3%
ValueCountFrequency (%)
96.83 1
 
< 0.1%
98.23 1
 
< 0.1%
782.0 1
 
< 0.1%
783.0 28
 
0.5%
884.0 578
9.5%
894.0 425
 
7.0%
959.0 36
 
0.6%
959.3 256
 
4.2%
1830.0 1178
19.4%
1850.0 153
 
2.5%
ValueCountFrequency (%)
9486.0 2
 
< 0.1%
9405.0 1
 
< 0.1%
9395.0 1
 
< 0.1%
9385.0 8
 
0.1%
9376.0 2
 
< 0.1%
9317.5 1
 
< 0.1%
3700.0 611
10.1%
3600.0 780
12.9%
3500.0 125
 
2.1%
2670.0 356
5.9%

설치장소구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
주거
4850 
상업
750 
공업
 
234
관리
 
196
기타
 
19

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주거 4850
80.0%
상업 750
 
12.4%
공업 234
 
3.9%
관리 196
 
3.2%
기타 19
 
0.3%
녹지 11
 
0.2%

Length

2023-12-13T02:06:54.876893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:06:55.035966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거 4850
80.0%
상업 750
 
12.4%
공업 234
 
3.9%
관리 196
 
3.2%
기타 19
 
0.3%
녹지 11
 
0.2%

구분코드
Text

UNIQUE 

Distinct6060
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
2023-12-13T02:06:55.404172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters36360
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

Unique6060 ?
Unique (%)100.0%

Sample

1st rowA00001
2nd rowA00002
3rd rowA00003
4th rowA00004
5th rowA00005
ValueCountFrequency (%)
a00001 1
 
< 0.1%
a04034 1
 
< 0.1%
a04043 1
 
< 0.1%
a04042 1
 
< 0.1%
a04041 1
 
< 0.1%
a04040 1
 
< 0.1%
a04039 1
 
< 0.1%
a04038 1
 
< 0.1%
a04051 1
 
< 0.1%
a04036 1
 
< 0.1%
Other values (6050) 6050
99.8%
2023-12-13T02:06:55.959941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8934
24.6%
A 6060
16.7%
1 2816
 
7.7%
5 2816
 
7.7%
4 2816
 
7.7%
2 2816
 
7.7%
3 2816
 
7.7%
6 1868
 
5.1%
7 1806
 
5.0%
8 1806
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30300
83.3%
Uppercase Letter 6060
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8934
29.5%
1 2816
 
9.3%
5 2816
 
9.3%
4 2816
 
9.3%
2 2816
 
9.3%
3 2816
 
9.3%
6 1868
 
6.2%
7 1806
 
6.0%
8 1806
 
6.0%
9 1806
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 6060
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30300
83.3%
Latin 6060
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8934
29.5%
1 2816
 
9.3%
5 2816
 
9.3%
4 2816
 
9.3%
2 2816
 
9.3%
3 2816
 
9.3%
6 1868
 
6.2%
7 1806
 
6.0%
8 1806
 
6.0%
9 1806
 
6.0%
Latin
ValueCountFrequency (%)
A 6060
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8934
24.6%
A 6060
16.7%
1 2816
 
7.7%
5 2816
 
7.7%
4 2816
 
7.7%
2 2816
 
7.7%
3 2816
 
7.7%
6 1868
 
5.1%
7 1806
 
5.0%
8 1806
 
5.0%

Interactions

2023-12-13T02:06:52.683871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.031758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.424371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.205839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.803152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.128268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.860183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.341999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.914279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.219483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.978100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.448871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:53.043123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:51.313446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.085500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:52.550741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:06:56.096316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안테나전력합계값전자파강도기준값주파수시작대역값주파수종료대역값설치장소구분코드
안테나전력합계값1.0000.0000.6410.6410.480
전자파강도기준값0.0001.0000.6470.6470.106
주파수시작대역값0.6410.6471.0001.0000.266
주파수종료대역값0.6410.6471.0001.0000.266
설치장소구분코드0.4800.1060.2660.2661.000
2023-12-13T02:06:56.238102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안테나전력합계값전자파강도기준값주파수시작대역값주파수종료대역값설치장소구분코드
안테나전력합계값1.0000.5990.6870.6930.226
전자파강도기준값0.5991.0000.9370.9370.068
주파수시작대역값0.6870.9371.0000.9990.184
주파수종료대역값0.6930.9370.9991.0000.184
설치장소구분코드0.2260.0680.1840.1841.000

Missing values

2023-12-13T02:06:53.284893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:06:53.577936image/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

안테나전력합계값전자파강도기준값주파수시작대역값주파수종료대역값설치장소구분코드구분코드
040.040.88884.0894.0주거A00001
140.040.88884.0894.0주거A00002
240.040.88884.0894.0주거A00003
360.061.02110.02130.0주거A00004
440.040.88884.0894.0주거A00005
560.061.02640.02660.0주거A00006
640.040.88884.0894.0주거A00007
740.040.88884.0894.0주거A00008
860.061.02640.02660.0주거A00009
940.040.88884.0894.0주거A00010
안테나전력합계값전자파강도기준값주파수시작대역값주파수종료대역값설치장소구분코드구분코드
6050120.061.02620.02670.0관리A06051
6051120.061.02620.02670.0주거A06052
6052120.061.02620.02670.0공업A06053
6053120.061.02620.02670.0관리A06054
6054120.061.02620.02670.0관리A06055
6055120.061.02620.02670.0주거A06056
6056120.061.02620.02670.0주거A06057
6057120.061.02620.02670.0주거A06058
6058120.061.02620.02670.0상업A06059
6059120.061.02620.02670.0상업A06060