Overview

Dataset statistics

Number of variables11
Number of observations772
Missing cells315
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.0 KiB
Average record size in memory90.2 B

Variable types

Numeric2
DateTime1
Text5
Categorical3

Dataset

Description강원도 철원군 전기사업허가 현황(번호, 허가일자, 발전소명, 발전용량, 공급전압, 설치장소, 설치구분, 지목, 설치면적, 사업개시일, 현재상태)을 제공합니다.
Author강원도 철원군
URLhttps://www.data.go.kr/data/15033861/fileData.do

Alerts

공급전압(V) is highly imbalanced (63.7%)Imbalance
설치구분 is highly imbalanced (62.1%)Imbalance
사업개시일 has 315 (40.8%) missing valuesMissing
NO has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:46:16.569347
Analysis finished2023-12-12 14:46:18.250937
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386.5
Minimum1
Maximum772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T23:46:18.345774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.55
Q1193.75
median386.5
Q3579.25
95-th percentile733.45
Maximum772
Range771
Interquartile range (IQR)385.5

Descriptive statistics

Standard deviation223.00149
Coefficient of variation (CV)0.5769767
Kurtosis-1.2
Mean386.5
Median Absolute Deviation (MAD)193
Skewness0
Sum298378
Variance49729.667
MonotonicityStrictly increasing
2023-12-12T23:46:18.505016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
485 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
Other values (762) 762
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%

허가일자
Date

Distinct218
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2015-08-31 00:00:00
Maximum2022-06-03 00:00:00
2023-12-12T23:46:18.668204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:18.838169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

Distinct737
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T23:46:19.328565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length10.753886
Min length4

Characters and Unicode

Total characters8302
Distinct characters347
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique704 ?
Unique (%)91.2%

Sample

1st row우서라태양광발전소
2nd row마현4호태양광발전소
3rd row마현5호태양광발전소
4th row마현6호태양광발전소
5th row주식회사 파파햇빛
ValueCountFrequency (%)
태양광발전소 642
42.8%
주식회사 12
 
0.8%
자등발전소 12
 
0.8%
발전소 7
 
0.5%
강포리주민참여태양광발전소 6
 
0.4%
3호 6
 
0.4%
철원 6
 
0.4%
2호 6
 
0.4%
1호 5
 
0.3%
문혜태양광발전소 5
 
0.3%
Other values (733) 792
52.8%
2023-12-12T23:46:19.953925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 751
 
9.0%
발 744
 
9.0%
전 743
 
8.9%
730
 
8.8%
양 726
 
8.7%
태 717
 
8.6%
광 715
 
8.6%
호 331
 
4.0%
1 137
 
1.7%
2 117
 
1.4%
Other values (337) 2591
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6930
83.5%
Space Separator 730
 
8.8%
Decimal Number 447
 
5.4%
Uppercase Letter 88
 
1.1%
Lowercase Letter 63
 
0.8%
Open Punctuation 18
 
0.2%
Close Punctuation 18
 
0.2%
Dash Punctuation 4
 
< 0.1%
Other Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 751
 
10.8%
발 744
 
10.7%
전 743
 
10.7%
양 726
 
10.5%
태 717
 
10.3%
광 715
 
10.3%
호 331
 
4.8%
리 77
 
1.1%
원 77
 
1.1%
지 64
 
0.9%
Other values (291) 1985
28.6%
Lowercase Letter
ValueCountFrequency (%)
o 10
15.9%
e 10
15.9%
r 9
14.3%
w 6
9.5%
n 5
7.9%
p 5
7.9%
s 4
 
6.3%
u 2
 
3.2%
g 2
 
3.2%
l 2
 
3.2%
Other values (6) 8
12.7%
Uppercase Letter
ValueCountFrequency (%)
H 31
35.2%
O 28
31.8%
S 5
 
5.7%
G 5
 
5.7%
K 5
 
5.7%
E 3
 
3.4%
J 3
 
3.4%
B 2
 
2.3%
D 1
 
1.1%
L 1
 
1.1%
Other values (4) 4
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 137
30.6%
2 117
26.2%
3 60
13.4%
4 44
 
9.8%
5 30
 
6.7%
6 17
 
3.8%
7 13
 
2.9%
0 10
 
2.2%
8 10
 
2.2%
9 9
 
2.0%
Space Separator
ValueCountFrequency (%)
730
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6933
83.5%
Common 1218
 
14.7%
Latin 151
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 751
 
10.8%
발 744
 
10.7%
전 743
 
10.7%
양 726
 
10.5%
태 717
 
10.3%
광 715
 
10.3%
호 331
 
4.8%
리 77
 
1.1%
원 77
 
1.1%
지 64
 
0.9%
Other values (292) 1988
28.7%
Latin
ValueCountFrequency (%)
H 31
20.5%
O 28
18.5%
o 10
 
6.6%
e 10
 
6.6%
r 9
 
6.0%
w 6
 
4.0%
S 5
 
3.3%
n 5
 
3.3%
G 5
 
3.3%
p 5
 
3.3%
Other values (20) 37
24.5%
Common
ValueCountFrequency (%)
730
59.9%
1 137
 
11.2%
2 117
 
9.6%
3 60
 
4.9%
4 44
 
3.6%
5 30
 
2.5%
( 18
 
1.5%
) 18
 
1.5%
6 17
 
1.4%
7 13
 
1.1%
Other values (5) 34
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6930
83.5%
ASCII 1369
 
16.5%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 751
 
10.8%
발 744
 
10.7%
전 743
 
10.7%
양 726
 
10.5%
태 717
 
10.3%
광 715
 
10.3%
호 331
 
4.8%
리 77
 
1.1%
원 77
 
1.1%
지 64
 
0.9%
Other values (291) 1985
28.6%
ASCII
ValueCountFrequency (%)
730
53.3%
1 137
 
10.0%
2 117
 
8.5%
3 60
 
4.4%
4 44
 
3.2%
H 31
 
2.3%
5 30
 
2.2%
O 28
 
2.0%
( 18
 
1.3%
) 18
 
1.3%
Other values (35) 156
 
11.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

설비용량(KW)
Real number (ℝ)

Distinct276
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.6372
Minimum15
Maximum999.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T23:46:20.146344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26.457
Q198.4
median99.45
Q3198.03
95-th percentile996.8805
Maximum999.95
Range984.95
Interquartile range (IQR)99.63

Descriptive statistics

Standard deviation295.7222
Coefficient of variation (CV)1.2603381
Kurtosis1.8777379
Mean234.6372
Median Absolute Deviation (MAD)1.44
Skewness1.8424054
Sum181139.91
Variance87451.617
MonotonicityNot monotonic
2023-12-12T23:46:20.302257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.96 44
 
5.7%
99.45 30
 
3.9%
99.0 30
 
3.9%
99.68 25
 
3.2%
99.02 22
 
2.8%
98.6 20
 
2.6%
99.9 19
 
2.5%
99.75 19
 
2.5%
99.36 18
 
2.3%
96.0 17
 
2.2%
Other values (266) 528
68.4%
ValueCountFrequency (%)
15.0 1
 
0.1%
15.36 1
 
0.1%
17.01 1
 
0.1%
17.28 1
 
0.1%
18.0 1
 
0.1%
18.26 1
 
0.1%
18.9 1
 
0.1%
19.04 1
 
0.1%
19.09 15
1.9%
19.2 2
 
0.3%
ValueCountFrequency (%)
999.95 2
 
0.3%
999.9 1
 
0.1%
999.6 2
 
0.3%
999.37 9
1.2%
999.36 1
 
0.1%
999.32 1
 
0.1%
999.18 2
 
0.3%
999.0 7
0.9%
998.64 1
 
0.1%
998.4 1
 
0.1%

공급전압(V)
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
380
595 
380 / 220
76 
22,900
61 
22900
 
29
380/22900
 
5
Other values (5)
 
6

Length

Max length9
Median length3
Mean length3.9533679
Min length3

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st row380 / 220
2nd row380 / 220
3rd row380 / 220
4th row380 / 220
5th row380 / 220

Common Values

ValueCountFrequency (%)
380 595
77.1%
380 / 220 76
 
9.8%
22,900 61
 
7.9%
22900 29
 
3.8%
380/22900 5
 
0.6%
220 2
 
0.3%
22990 1
 
0.1%
22900V 1
 
0.1%
22,900V 1
 
0.1%
360 1
 
0.1%

Length

2023-12-12T23:46:20.470768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:20.623765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 671
72.6%
220 78
 
8.4%
76
 
8.2%
22,900 61
 
6.6%
22900 29
 
3.1%
380/22900 5
 
0.5%
22990 1
 
0.1%
22900v 1
 
0.1%
22,900v 1
 
0.1%
360 1
 
0.1%

설치장소
Text

Distinct478
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T23:46:21.004281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length23.595855
Min length18

Characters and Unicode

Total characters18216
Distinct characters97
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique358 ?
Unique (%)46.4%

Sample

1st row강원도 철원군 동송읍 오지리 613
2nd row강원도 철원군 근남면 마현리 388-28
3rd row강원도 철원군 근남면 마현리 388-29
4th row강원도 철원군 근남면 마현리 388-30
5th row강원도 철원군 근남면 마현리 388-32
ValueCountFrequency (%)
강원도 771
18.2%
철원군 770
18.2%
철원읍 211
 
5.0%
갈말읍 198
 
4.7%
동송읍 191
 
4.5%
율이리 102
 
2.4%
근남면 75
 
1.8%
오지리 60
 
1.4%
마현리 59
 
1.4%
문혜리 55
 
1.3%
Other values (628) 1738
41.1%
2023-12-12T23:46:21.573507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3506
19.2%
원 1759
 
9.7%
철 986
 
5.4%
군 802
 
4.4%
1 793
 
4.4%
강 788
 
4.3%
리 783
 
4.3%
도 775
 
4.3%
읍 640
 
3.5%
- 569
 
3.1%
Other values (87) 6815
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9606
52.7%
Decimal Number 4152
22.8%
Space Separator 3506
 
19.2%
Dash Punctuation 569
 
3.1%
Other Punctuation 349
 
1.9%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1759
18.3%
철 986
10.3%
군 802
 
8.3%
강 788
 
8.2%
리 783
 
8.2%
도 775
 
8.1%
읍 640
 
6.7%
동 311
 
3.2%
갈 201
 
2.1%
말 198
 
2.1%
Other values (69) 2363
24.6%
Decimal Number
ValueCountFrequency (%)
1 793
19.1%
2 529
12.7%
3 496
11.9%
5 459
11.1%
4 430
10.4%
6 362
8.7%
7 303
 
7.3%
9 294
 
7.1%
8 271
 
6.5%
0 215
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 348
99.7%
. 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
3506
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9606
52.7%
Common 8608
47.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1759
18.3%
철 986
10.3%
군 802
 
8.3%
강 788
 
8.2%
리 783
 
8.2%
도 775
 
8.1%
읍 640
 
6.7%
동 311
 
3.2%
갈 201
 
2.1%
말 198
 
2.1%
Other values (69) 2363
24.6%
Common
ValueCountFrequency (%)
3506
40.7%
1 793
 
9.2%
- 569
 
6.6%
2 529
 
6.1%
3 496
 
5.8%
5 459
 
5.3%
4 430
 
5.0%
6 362
 
4.2%
, 348
 
4.0%
7 303
 
3.5%
Other values (6) 813
 
9.4%
Latin
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9606
52.7%
ASCII 8610
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3506
40.7%
1 793
 
9.2%
- 569
 
6.6%
2 529
 
6.1%
3 496
 
5.8%
5 459
 
5.3%
4 430
 
5.0%
6 362
 
4.2%
, 348
 
4.0%
7 303
 
3.5%
Other values (8) 815
 
9.5%
Hangul
ValueCountFrequency (%)
원 1759
18.3%
철 986
10.3%
군 802
 
8.3%
강 788
 
8.2%
리 783
 
8.2%
도 775
 
8.1%
읍 640
 
6.7%
동 311
 
3.2%
갈 201
 
2.1%
말 198
 
2.1%
Other values (69) 2363
24.6%

설치구분
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
토지
394 
건물
373 
건물,토지
 
1
건물
 
1
<NA>
 
1
Other values (2)
 
2

Length

Max length10
Median length2
Mean length2.0181347
Min length2

Unique

Unique5 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
토지 394
51.0%
건물 373
48.3%
건물,토지 1
 
0.1%
건물 1
 
0.1%
<NA> 1
 
0.1%
수상 1
 
0.1%
토지, 건물, 건물 1
 
0.1%

Length

2023-12-12T23:46:21.771531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:21.921947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 395
51.0%
건물 376
48.6%
건물,토지 1
 
0.1%
na 1
 
0.1%
수상 1
 
0.1%

지목
Text

Distinct61
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T23:46:22.128346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length1
Mean length1.8005181
Min length1

Characters and Unicode

Total characters1390
Distinct characters42
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)4.3%

Sample

1st row답
2nd row임야
3rd row임야
4th row임야
5th row임야
ValueCountFrequency (%)
답 353
42.2%
전 147
17.6%
임야 145
17.3%
대 39
 
4.7%
잡 33
 
3.9%
목장 13
 
1.6%
대지 9
 
1.1%
창고 9
 
1.1%
목 6
 
0.7%
공장 6
 
0.7%
Other values (39) 76
 
9.1%
2023-12-12T23:46:22.537445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
답 390
28.1%
전 176
12.7%
임 161
11.6%
야 158
11.4%
, 111
 
8.0%
64
 
4.6%
대 52
 
3.7%
지 39
 
2.8%
잡 34
 
2.4%
목 28
 
2.0%
Other values (32) 177
12.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1179
84.8%
Other Punctuation 113
 
8.1%
Space Separator 64
 
4.6%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Decimal Number 8
 
0.6%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
답 390
33.1%
전 176
14.9%
임 161
13.7%
야 158
13.4%
대 52
 
4.4%
지 39
 
3.3%
잡 34
 
2.9%
목 28
 
2.4%
장 26
 
2.2%
용 14
 
1.2%
Other values (23) 101
 
8.6%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
5 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 111
98.2%
. 2
 
1.8%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1179
84.8%
Common 211
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
답 390
33.1%
전 176
14.9%
임 161
13.7%
야 158
13.4%
대 52
 
4.4%
지 39
 
3.3%
잡 34
 
2.9%
목 28
 
2.4%
장 26
 
2.2%
용 14
 
1.2%
Other values (23) 101
 
8.6%
Common
ValueCountFrequency (%)
, 111
52.6%
64
30.3%
( 12
 
5.7%
) 12
 
5.7%
2 4
 
1.9%
. 2
 
0.9%
- 2
 
0.9%
3 2
 
0.9%
5 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1179
84.8%
ASCII 211
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
답 390
33.1%
전 176
14.9%
임 161
13.7%
야 158
13.4%
대 52
 
4.4%
지 39
 
3.3%
잡 34
 
2.9%
목 28
 
2.4%
장 26
 
2.2%
용 14
 
1.2%
Other values (23) 101
 
8.6%
ASCII
ValueCountFrequency (%)
, 111
52.6%
64
30.3%
( 12
 
5.7%
) 12
 
5.7%
2 4
 
1.9%
. 2
 
0.9%
- 2
 
0.9%
3 2
 
0.9%
5 2
 
0.9%

설치면적
Text

Distinct418
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T23:46:22.986821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.9818653
Min length2

Characters and Unicode

Total characters3074
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)40.2%

Sample

1st row7416
2nd row1426
3rd row1426
4th row1426
5th row1426
ValueCountFrequency (%)
491 52
 
6.7%
377 14
 
1.8%
1,647 13
 
1.7%
900 12
 
1.6%
1,239 11
 
1.4%
544 10
 
1.3%
1300 10
 
1.3%
600 10
 
1.3%
257 9
 
1.2%
15000 9
 
1.2%
Other values (408) 622
80.6%
2023-12-12T23:46:23.588171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 479
15.6%
0 428
13.9%
4 364
11.8%
5 284
9.2%
3 239
7.8%
9 233
7.6%
7 213
6.9%
2 213
6.9%
8 209
6.8%
6 207
6.7%
Other values (2) 205
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2869
93.3%
Other Punctuation 205
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 479
16.7%
0 428
14.9%
4 364
12.7%
5 284
9.9%
3 239
8.3%
9 233
8.1%
7 213
7.4%
2 213
7.4%
8 209
7.3%
6 207
7.2%
Other Punctuation
ValueCountFrequency (%)
, 134
65.4%
. 71
34.6%

Most occurring scripts

ValueCountFrequency (%)
Common 3074
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 479
15.6%
0 428
13.9%
4 364
11.8%
5 284
9.2%
3 239
7.8%
9 233
7.6%
7 213
6.9%
2 213
6.9%
8 209
6.8%
6 207
6.7%
Other values (2) 205
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3074
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 479
15.6%
0 428
13.9%
4 364
11.8%
5 284
9.2%
3 239
7.8%
9 233
7.6%
7 213
6.9%
2 213
6.9%
8 209
6.8%
6 207
6.7%
Other values (2) 205
6.7%

사업개시일
Text

MISSING 

Distinct176
Distinct (%)38.5%
Missing315
Missing (%)40.8%
Memory size6.2 KiB
2023-12-12T23:46:23.881937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9803063
Min length1

Characters and Unicode

Total characters4561
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)20.1%

Sample

1st row2016-08-31
2nd row2016-10-27
3rd row2016-10-27
4th row2016-10-27
5th row2016-10-27
ValueCountFrequency (%)
2019-02-18 21
 
4.6%
2020-06-02 20
 
4.4%
2020-12-29 17
 
3.7%
2021-11-30 11
 
2.4%
2021-06-02 10
 
2.2%
2019-09-04 9
 
2.0%
2019-06-19 9
 
2.0%
2021-12-17 9
 
2.0%
2020-02-27 8
 
1.8%
2021-12-08 8
 
1.8%
Other values (165) 334
73.2%
2023-12-12T23:46:24.334774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1111
24.4%
2 1064
23.3%
- 912
20.0%
1 735
16.1%
9 175
 
3.8%
8 123
 
2.7%
6 120
 
2.6%
3 109
 
2.4%
7 93
 
2.0%
5 72
 
1.6%
Other values (2) 47
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3648
80.0%
Dash Punctuation 912
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1111
30.5%
2 1064
29.2%
1 735
20.1%
9 175
 
4.8%
8 123
 
3.4%
6 120
 
3.3%
3 109
 
3.0%
7 93
 
2.5%
5 72
 
2.0%
4 46
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 912
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4561
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1111
24.4%
2 1064
23.3%
- 912
20.0%
1 735
16.1%
9 175
 
3.8%
8 123
 
2.7%
6 120
 
2.6%
3 109
 
2.4%
7 93
 
2.0%
5 72
 
1.6%
Other values (2) 47
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1111
24.4%
2 1064
23.3%
- 912
20.0%
1 735
16.1%
9 175
 
3.8%
8 123
 
2.7%
6 120
 
2.6%
3 109
 
2.4%
7 93
 
2.0%
5 72
 
1.6%
Other values (2) 47
 
1.0%

상태
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
사업개시
454 
허가취소
177 
인허가
117 
공사계획
 
20
허가취소청문
 
3

Length

Max length6
Median length4
Mean length3.8588083
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 454
58.8%
허가취소 177
 
22.9%
인허가 117
 
15.2%
공사계획 20
 
2.6%
허가취소청문 3
 
0.4%
공사계획취소 1
 
0.1%

Length

2023-12-12T23:46:24.501601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:24.661015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 454
58.8%
허가취소 177
 
22.9%
인허가 117
 
15.2%
공사계획 20
 
2.6%
허가취소청문 3
 
0.4%
공사계획취소 1
 
0.1%

Interactions

2023-12-12T23:46:17.389238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:17.178220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:17.494424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:17.285189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:46:24.775746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO설비용량(KW)공급전압(V)설치구분지목상태
NO1.0000.4830.7970.4940.6800.558
설비용량(KW)0.4831.0000.7550.2660.7850.293
공급전압(V)0.7970.7551.0000.3020.6430.208
설치구분0.4940.2660.3021.0000.9590.176
지목0.6800.7850.6430.9591.0000.356
상태0.5580.2930.2080.1760.3561.000
2023-12-12T23:46:24.908265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치구분상태공급전압(V)
설치구분1.0000.0650.163
상태0.0651.0000.110
공급전압(V)0.1630.1101.000
2023-12-12T23:46:25.021707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO설비용량(KW)공급전압(V)설치구분상태
NO1.000-0.2200.3610.2860.334
설비용량(KW)-0.2201.0000.3240.1430.158
공급전압(V)0.3610.3241.0000.1630.110
설치구분0.2860.1430.1631.0000.065
상태0.3340.1580.1100.0651.000

Missing values

2023-12-12T23:46:17.993122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:46:18.186779image/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

NO허가일자상호설비용량(KW)공급전압(V)설치장소설치구분지목설치면적사업개시일상태
012015-08-31우서라태양광발전소499.41380 / 220강원도 철원군 동송읍 오지리 613토지답74162016-08-31사업개시
122015-09-21마현4호태양광발전소96.0380 / 220강원도 철원군 근남면 마현리 388-28토지임야14262016-10-27사업개시
232015-09-21마현5호태양광발전소96.0380 / 220강원도 철원군 근남면 마현리 388-29토지임야14262016-10-27사업개시
342015-09-21마현6호태양광발전소96.0380 / 220강원도 철원군 근남면 마현리 388-30토지임야14262016-10-27사업개시
452015-09-21주식회사 파파햇빛96.0380 / 220강원도 철원군 근남면 마현리 388-32토지임야14262016-10-27사업개시
562015-09-21에프이스카이 태양광발전소96.0380 / 220강원도 철원군 근남면 마현리 388-33토지임야14262016-10-27사업개시
672015-09-22주식회사 선플라워96.0380 / 220강원도 철원군 근남면 마현리 388-31토지임야14262016-10-27사업개시
782015-09-24에스와이스포캐슬307.53380 / 220강원도 철원군 근남면 잠곡리 50토지체육용지4567<NA>허가취소
892015-12-30최병문태양광발전소299.25380 / 220강원도 철원군 갈말읍 문혜리 188-3토지전44442017-03-22사업개시
9102015-12-30양심태양광발전소95.76380 / 220강원도 철원군 동송읍 북원로 1296-21건물답14222016-05-03사업개시
NO허가일자상호설비용량(KW)공급전압(V)설치장소설치구분지목설치면적사업개시일상태
7627632022-06-03예원 태양광발전소99.425380강원도 철원군 갈말읍 문혜리 938-1토지답475<NA>인허가
7637642022-06-03구수1호 태양광발전소95.04380강원도 철원군 동송읍 장흥리 515-3, 515-6건물답600<NA>인허가
7647652022-06-03구수2호 태양광발전소95.04380강원도 철원군 동송읍 장흥리 515-3, 515-6건물답600<NA>인허가
7657662022-06-03장흥1호 태양광발전소95.04380강원도 철원군 동송읍 장흥리 2156건물답600<NA>인허가
7667672022-06-03장흥2호 태양광발전소95.04380강원도 철원군 동송읍 장흥리 2156건물답600<NA>인허가
7677682022-06-03장흥3호 태양광발전소95.04380강원도 철원군 동송읍 장흥리 2156건물답600<NA>인허가
7687692022-06-03동욱1호 태양광발전소99.36380강원도 철원군 동송읍 오지리 1551건물답600<NA>인허가
7697702022-06-03동욱2호 태양광발전소99.36380강원도 철원군 동송읍 오지리 1551건물답600<NA>인허가
7707712022-06-03나윤1호 태양광발전소99.36380강원도 철원군 동송읍 오지리 1551건물답600<NA>인허가
7717722022-06-03나윤2호 태양광발전소99.36380강원도 철원군 동송읍 오지리 1551건물답600<NA>인허가