Overview

Dataset statistics

Number of variables16
Number of observations50
Missing cells50
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory130.6 B

Variable types

Text14
Categorical2

Dataset

Description경기도_화성시_종량제봉투(납부필증)판매현황(품목, 구분, 연도, 월별판매수량 등)
Author경기도 화성시
URLhttps://www.data.go.kr/data/15042370/fileData.do

Alerts

구분 has constant value ""Constant
1월 has 5 (10.0%) missing valuesMissing
2월 has 5 (10.0%) missing valuesMissing
3월 has 6 (12.0%) missing valuesMissing
4월 has 5 (10.0%) missing valuesMissing
5월 has 2 (4.0%) missing valuesMissing
6월 has 5 (10.0%) missing valuesMissing
7월 has 4 (8.0%) missing valuesMissing
8월 has 4 (8.0%) missing valuesMissing
9월 has 3 (6.0%) missing valuesMissing
10월 has 3 (6.0%) missing valuesMissing
11월 has 4 (8.0%) missing valuesMissing
12월 has 4 (8.0%) missing valuesMissing
합계 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:12:52.014506
Analysis finished2023-12-13 00:12:53.138317
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목
Text

Distinct25
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T09:12:53.226453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.92
Min length6

Characters and Unicode

Total characters396
Distinct characters38
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소각용 5L
2nd row소각용 5L
3rd row소각용 10L
4th row소각용 10L
5th row소각용 20L
ValueCountFrequency (%)
소각용 10
10.0%
10l 10
10.0%
음식물 10
10.0%
20l 8
 
8.0%
매립용 8
 
8.0%
5l 8
 
8.0%
50l 6
 
6.0%
재사용 6
 
6.0%
스티커 6
 
6.0%
100l 4
 
4.0%
Other values (10) 24
24.0%
2023-12-13T09:12:53.458460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
 
13.6%
50
 
12.6%
L 42
 
10.6%
28
 
7.1%
1 18
 
4.5%
5 16
 
4.0%
12
 
3.0%
12
 
3.0%
10
 
2.5%
10
 
2.5%
Other values (28) 144
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
48.0%
Decimal Number 104
26.3%
Space Separator 50
 
12.6%
Uppercase Letter 42
 
10.6%
Other Punctuation 6
 
1.5%
Lowercase Letter 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
14.7%
12
 
6.3%
12
 
6.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
8
 
4.2%
8
 
4.2%
6
 
3.2%
Other values (17) 76
40.0%
Decimal Number
ValueCountFrequency (%)
0 54
51.9%
1 18
 
17.3%
5 16
 
15.4%
2 10
 
9.6%
3 4
 
3.8%
6 2
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
g 2
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
48.0%
Common 160
40.4%
Latin 46
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
14.7%
12
 
6.3%
12
 
6.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
8
 
4.2%
8
 
4.2%
6
 
3.2%
Other values (17) 76
40.0%
Common
ValueCountFrequency (%)
0 54
33.8%
50
31.2%
1 18
 
11.2%
5 16
 
10.0%
2 10
 
6.2%
, 6
 
3.8%
3 4
 
2.5%
6 2
 
1.2%
Latin
ValueCountFrequency (%)
L 42
91.3%
k 2
 
4.3%
g 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
52.0%
Hangul 190
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
26.2%
50
24.3%
L 42
20.4%
1 18
 
8.7%
5 16
 
7.8%
2 10
 
4.9%
, 6
 
2.9%
3 4
 
1.9%
6 2
 
1.0%
k 2
 
1.0%
Hangul
ValueCountFrequency (%)
28
 
14.7%
12
 
6.3%
12
 
6.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
10
 
5.3%
8
 
4.2%
8
 
4.2%
6
 
3.2%
Other values (17) 76
40.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
수량
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수량 50
100.0%

Length

2023-12-13T09:12:53.553841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:12:53.632593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수량 50
100.0%

연도
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2018년
25 
2019년
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018년
2nd row2019년
3rd row2018년
4th row2019년
5th row2018년

Common Values

ValueCountFrequency (%)
2018년 25
50.0%
2019년 25
50.0%

Length

2023-12-13T09:12:53.719732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:12:53.790691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018년 25
50.0%
2019년 25
50.0%

합계
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T09:12:53.967609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.72
Min length2

Characters and Unicode

Total characters336
Distinct characters11
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

Unique50 ?
Unique (%)100.0%

Sample

1st row622,240
2nd row664,530
3rd row2,853,570
4th row2,830,677
5th row2,676,730
ValueCountFrequency (%)
622,240 1
 
2.0%
494,096 1
 
2.0%
162,641 1
 
2.0%
6,689,300 1
 
2.0%
187,250 1
 
2.0%
246,760 1
 
2.0%
1,472,165 1
 
2.0%
1,474,391 1
 
2.0%
721,082 1
 
2.0%
712,651 1
 
2.0%
Other values (40) 40
80.0%
2023-12-13T09:12:54.243906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 58
17.3%
2 45
13.4%
1 39
11.6%
0 32
9.5%
3 27
8.0%
8 27
8.0%
4 25
7.4%
6 24
7.1%
7 23
 
6.8%
5 20
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
82.7%
Other Punctuation 58
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
16.2%
1 39
14.0%
0 32
11.5%
3 27
9.7%
8 27
9.7%
4 25
9.0%
6 24
8.6%
7 23
8.3%
5 20
7.2%
9 16
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 58
17.3%
2 45
13.4%
1 39
11.6%
0 32
9.5%
3 27
8.0%
8 27
8.0%
4 25
7.4%
6 24
7.1%
7 23
 
6.8%
5 20
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 58
17.3%
2 45
13.4%
1 39
11.6%
0 32
9.5%
3 27
8.0%
8 27
8.0%
4 25
7.4%
6 24
7.1%
7 23
 
6.8%
5 20
 
6.0%

1월
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing5
Missing (%)10.0%
Memory size532.0 B
2023-12-13T09:12:54.424278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5555556
Min length2

Characters and Unicode

Total characters250
Distinct characters11
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

Unique45 ?
Unique (%)100.0%

Sample

1st row39,820
2nd row43,630
3rd row252,640
4th row297,960
5th row208,240
ValueCountFrequency (%)
90 1
 
2.2%
38,450 1
 
2.2%
12,690 1
 
2.2%
366,020 1
 
2.2%
609,180 1
 
2.2%
8,970 1
 
2.2%
17,310 1
 
2.2%
115,150 1
 
2.2%
130,890 1
 
2.2%
60,250 1
 
2.2%
Other values (35) 35
77.8%
2023-12-13T09:12:54.728860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
20.4%
, 40
16.0%
2 28
11.2%
1 25
10.0%
6 20
 
8.0%
5 17
 
6.8%
3 16
 
6.4%
4 15
 
6.0%
8 14
 
5.6%
9 12
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
84.0%
Other Punctuation 40
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
24.3%
2 28
13.3%
1 25
11.9%
6 20
 
9.5%
5 17
 
8.1%
3 16
 
7.6%
4 15
 
7.1%
8 14
 
6.7%
9 12
 
5.7%
7 12
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
20.4%
, 40
16.0%
2 28
11.2%
1 25
10.0%
6 20
 
8.0%
5 17
 
6.8%
3 16
 
6.4%
4 15
 
6.0%
8 14
 
5.6%
9 12
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
20.4%
, 40
16.0%
2 28
11.2%
1 25
10.0%
6 20
 
8.0%
5 17
 
6.8%
3 16
 
6.4%
4 15
 
6.0%
8 14
 
5.6%
9 12
 
4.8%

2월
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing5
Missing (%)10.0%
Memory size532.0 B
2023-12-13T09:12:54.911469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.4888889
Min length2

Characters and Unicode

Total characters247
Distinct characters11
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

Unique45 ?
Unique (%)100.0%

Sample

1st row29,390
2nd row32,090
3rd row217,750
4th row173,360
5th row225,380
ValueCountFrequency (%)
62 1
 
2.2%
26,630 1
 
2.2%
15,860 1
 
2.2%
309,960 1
 
2.2%
397,640 1
 
2.2%
10,380 1
 
2.2%
10,530 1
 
2.2%
102,740 1
 
2.2%
84,380 1
 
2.2%
63,880 1
 
2.2%
Other values (35) 35
77.8%
2023-12-13T09:12:55.198526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
17.8%
, 40
16.2%
3 27
10.9%
1 24
9.7%
5 22
8.9%
2 21
8.5%
8 17
 
6.9%
6 14
 
5.7%
9 14
 
5.7%
7 13
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 207
83.8%
Other Punctuation 40
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
21.3%
3 27
13.0%
1 24
11.6%
5 22
10.6%
2 21
10.1%
8 17
 
8.2%
6 14
 
6.8%
9 14
 
6.8%
7 13
 
6.3%
4 11
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
17.8%
, 40
16.2%
3 27
10.9%
1 24
9.7%
5 22
8.9%
2 21
8.5%
8 17
 
6.9%
6 14
 
5.7%
9 14
 
5.7%
7 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
17.8%
, 40
16.2%
3 27
10.9%
1 24
9.7%
5 22
8.9%
2 21
8.5%
8 17
 
6.9%
6 14
 
5.7%
9 14
 
5.7%
7 13
 
5.3%

3월
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing6
Missing (%)12.0%
Memory size532.0 B
2023-12-13T09:12:55.390001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6818182
Min length2

Characters and Unicode

Total characters250
Distinct characters11
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

Unique44 ?
Unique (%)100.0%

Sample

1st row35,880
2nd row32,980
3rd row201,350
4th row184,820
5th row235,770
ValueCountFrequency (%)
100 1
 
2.3%
110 1
 
2.3%
33,010 1
 
2.3%
192,620 1
 
2.3%
523,300 1
 
2.3%
11,470 1
 
2.3%
15,160 1
 
2.3%
110,590 1
 
2.3%
106,170 1
 
2.3%
44,530 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T09:12:55.682083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
18.4%
, 39
15.6%
1 32
12.8%
2 26
10.4%
3 23
9.2%
5 18
 
7.2%
7 17
 
6.8%
4 15
 
6.0%
8 13
 
5.2%
6 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 211
84.4%
Other Punctuation 39
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
21.8%
1 32
15.2%
2 26
12.3%
3 23
10.9%
5 18
 
8.5%
7 17
 
8.1%
4 15
 
7.1%
8 13
 
6.2%
6 11
 
5.2%
9 10
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
18.4%
, 39
15.6%
1 32
12.8%
2 26
10.4%
3 23
9.2%
5 18
 
7.2%
7 17
 
6.8%
4 15
 
6.0%
8 13
 
5.2%
6 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
18.4%
, 39
15.6%
1 32
12.8%
2 26
10.4%
3 23
9.2%
5 18
 
7.2%
7 17
 
6.8%
4 15
 
6.0%
8 13
 
5.2%
6 11
 
4.4%

4월
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing5
Missing (%)10.0%
Memory size532.0 B
2023-12-13T09:12:55.859677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6222222
Min length2

Characters and Unicode

Total characters253
Distinct characters11
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

Unique41 ?
Unique (%)91.1%

Sample

1st row43,590
2nd row51,110
3rd row197,920
4th row204,390
5th row237,570
ValueCountFrequency (%)
60 2
 
4.4%
80 2
 
4.4%
23,647 1
 
2.2%
24,740 1
 
2.2%
35,030 1
 
2.2%
34,295 1
 
2.2%
11,961 1
 
2.2%
12,045 1
 
2.2%
665,471 1
 
2.2%
11,680 1
 
2.2%
Other values (33) 33
73.3%
2023-12-13T09:12:56.131954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
18.2%
, 40
15.8%
1 30
11.9%
4 28
11.1%
6 20
7.9%
3 17
 
6.7%
7 16
 
6.3%
2 16
 
6.3%
5 15
 
5.9%
8 14
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
84.2%
Other Punctuation 40
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
21.6%
1 30
14.1%
4 28
13.1%
6 20
9.4%
3 17
 
8.0%
7 16
 
7.5%
2 16
 
7.5%
5 15
 
7.0%
8 14
 
6.6%
9 11
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
18.2%
, 40
15.8%
1 30
11.9%
4 28
11.1%
6 20
7.9%
3 17
 
6.7%
7 16
 
6.3%
2 16
 
6.3%
5 15
 
5.9%
8 14
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
18.2%
, 40
15.8%
1 30
11.9%
4 28
11.1%
6 20
7.9%
3 17
 
6.7%
7 16
 
6.3%
2 16
 
6.3%
5 15
 
5.9%
8 14
 
5.5%

5월
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing2
Missing (%)4.0%
Memory size532.0 B
2023-12-13T09:12:56.297208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.4166667
Min length2

Characters and Unicode

Total characters260
Distinct characters11
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

Unique46 ?
Unique (%)95.8%

Sample

1st row57,800
2nd row48,570
3rd row240,740
4th row225,287
5th row229,870
ValueCountFrequency (%)
130 2
 
4.2%
44,580 1
 
2.1%
57,800 1
 
2.1%
44,389 1
 
2.1%
15,340 1
 
2.1%
16,020 1
 
2.1%
116,500 1
 
2.1%
119,270 1
 
2.1%
55,840 1
 
2.1%
48,860 1
 
2.1%
Other values (37) 37
77.1%
2023-12-13T09:12:56.549944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
16.5%
, 39
15.0%
1 28
10.8%
4 24
9.2%
5 24
9.2%
2 22
8.5%
8 21
8.1%
3 16
 
6.2%
7 16
 
6.2%
6 16
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
85.0%
Other Punctuation 39
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
19.5%
1 28
12.7%
4 24
10.9%
5 24
10.9%
2 22
10.0%
8 21
9.5%
3 16
 
7.2%
7 16
 
7.2%
6 16
 
7.2%
9 11
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
16.5%
, 39
15.0%
1 28
10.8%
4 24
9.2%
5 24
9.2%
2 22
8.5%
8 21
8.1%
3 16
 
6.2%
7 16
 
6.2%
6 16
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
16.5%
, 39
15.0%
1 28
10.8%
4 24
9.2%
5 24
9.2%
2 22
8.5%
8 21
8.1%
3 16
 
6.2%
7 16
 
6.2%
6 16
 
6.2%

6월
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing5
Missing (%)10.0%
Memory size532.0 B
2023-12-13T09:12:56.735673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5555556
Min length2

Characters and Unicode

Total characters250
Distinct characters11
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

Unique45 ?
Unique (%)100.0%

Sample

1st row51,610
2nd row56,380
3rd row231,620
4th row220,490
5th row171,970
ValueCountFrequency (%)
50 1
 
2.2%
36,220 1
 
2.2%
29,510 1
 
2.2%
289,400 1
 
2.2%
501,900 1
 
2.2%
18,060 1
 
2.2%
23,470 1
 
2.2%
128,360 1
 
2.2%
118,770 1
 
2.2%
66,850 1
 
2.2%
Other values (35) 35
77.8%
2023-12-13T09:12:57.008985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
20.0%
, 40
16.0%
1 26
10.4%
2 22
8.8%
6 22
8.8%
8 19
 
7.6%
5 18
 
7.2%
3 17
 
6.8%
4 13
 
5.2%
7 12
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
84.0%
Other Punctuation 40
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
23.8%
1 26
12.4%
2 22
10.5%
6 22
10.5%
8 19
 
9.0%
5 18
 
8.6%
3 17
 
8.1%
4 13
 
6.2%
7 12
 
5.7%
9 11
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
20.0%
, 40
16.0%
1 26
10.4%
2 22
8.8%
6 22
8.8%
8 19
 
7.6%
5 18
 
7.2%
3 17
 
6.8%
4 13
 
5.2%
7 12
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
20.0%
, 40
16.0%
1 26
10.4%
2 22
8.8%
6 22
8.8%
8 19
 
7.6%
5 18
 
7.2%
3 17
 
6.8%
4 13
 
5.2%
7 12
 
4.8%

7월
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing4
Missing (%)8.0%
Memory size532.0 B
2023-12-13T09:12:57.196689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7173913
Min length3

Characters and Unicode

Total characters263
Distinct characters11
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

Unique44 ?
Unique (%)95.7%

Sample

1st row89,110
2nd row80,690
3rd row268,150
4th row264,000
5th row200,290
ValueCountFrequency (%)
1,650 2
 
4.3%
338,020 1
 
2.2%
89,110 1
 
2.2%
45,210 1
 
2.2%
591,960 1
 
2.2%
23,790 1
 
2.2%
29,660 1
 
2.2%
154,600 1
 
2.2%
160,940 1
 
2.2%
68,660 1
 
2.2%
Other values (35) 35
76.1%
2023-12-13T09:12:57.467948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
20.9%
, 42
16.0%
1 30
11.4%
4 26
9.9%
6 22
 
8.4%
2 21
 
8.0%
5 18
 
6.8%
3 18
 
6.8%
9 16
 
6.1%
8 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
84.0%
Other Punctuation 42
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
24.9%
1 30
13.6%
4 26
11.8%
6 22
 
10.0%
2 21
 
9.5%
5 18
 
8.1%
3 18
 
8.1%
9 16
 
7.2%
8 11
 
5.0%
7 4
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
20.9%
, 42
16.0%
1 30
11.4%
4 26
9.9%
6 22
 
8.4%
2 21
 
8.0%
5 18
 
6.8%
3 18
 
6.8%
9 16
 
6.1%
8 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
20.9%
, 42
16.0%
1 30
11.4%
4 26
9.9%
6 22
 
8.4%
2 21
 
8.0%
5 18
 
6.8%
3 18
 
6.8%
9 16
 
6.1%
8 11
 
4.2%

8월
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing4
Missing (%)8.0%
Memory size532.0 B
2023-12-13T09:12:57.650750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.673913
Min length3

Characters and Unicode

Total characters261
Distinct characters11
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

Unique46 ?
Unique (%)100.0%

Sample

1st row95,730
2nd row116,280
3rd row289,840
4th row308,560
5th row228,340
ValueCountFrequency (%)
260 1
 
2.2%
46,880 1
 
2.2%
45,110 1
 
2.2%
351,340 1
 
2.2%
621,499 1
 
2.2%
24,710 1
 
2.2%
32,340 1
 
2.2%
151,480 1
 
2.2%
154,100 1
 
2.2%
81,720 1
 
2.2%
Other values (36) 36
78.3%
2023-12-13T09:12:57.948346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
16.1%
, 41
15.7%
1 35
13.4%
2 27
10.3%
5 21
8.0%
4 20
7.7%
6 18
6.9%
8 16
 
6.1%
3 16
 
6.1%
9 15
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
84.3%
Other Punctuation 41
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
19.1%
1 35
15.9%
2 27
12.3%
5 21
9.5%
4 20
9.1%
6 18
8.2%
8 16
 
7.3%
3 16
 
7.3%
9 15
 
6.8%
7 10
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
16.1%
, 41
15.7%
1 35
13.4%
2 27
10.3%
5 21
8.0%
4 20
7.7%
6 18
6.9%
8 16
 
6.1%
3 16
 
6.1%
9 15
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
16.1%
, 41
15.7%
1 35
13.4%
2 27
10.3%
5 21
8.0%
4 20
7.7%
6 18
6.9%
8 16
 
6.1%
3 16
 
6.1%
9 15
 
5.7%

9월
Text

MISSING 

Distinct46
Distinct (%)97.9%
Missing3
Missing (%)6.0%
Memory size532.0 B
2023-12-13T09:12:58.114536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5319149
Min length2

Characters and Unicode

Total characters260
Distinct characters11
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

Unique45 ?
Unique (%)95.7%

Sample

1st row47,480
2nd row55,930
3rd row269,070
4th row257,630
5th row222,420
ValueCountFrequency (%)
180 2
 
4.3%
34,070 1
 
2.1%
10,254 1
 
2.1%
41,541 1
 
2.1%
563,570 1
 
2.1%
21,320 1
 
2.1%
22,350 1
 
2.1%
129,825 1
 
2.1%
125,510 1
 
2.1%
57,451 1
 
2.1%
Other values (36) 36
76.6%
2023-12-13T09:12:58.370676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
16.5%
, 41
15.8%
1 29
11.2%
2 26
10.0%
5 23
8.8%
3 21
8.1%
8 18
6.9%
9 17
 
6.5%
6 16
 
6.2%
4 15
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219
84.2%
Other Punctuation 41
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
19.6%
1 29
13.2%
2 26
11.9%
5 23
10.5%
3 21
9.6%
8 18
8.2%
9 17
 
7.8%
6 16
 
7.3%
4 15
 
6.8%
7 11
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
16.5%
, 41
15.8%
1 29
11.2%
2 26
10.0%
5 23
8.8%
3 21
8.1%
8 18
6.9%
9 17
 
6.5%
6 16
 
6.2%
4 15
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
16.5%
, 41
15.8%
1 29
11.2%
2 26
10.0%
5 23
8.8%
3 21
8.1%
8 18
6.9%
9 17
 
6.5%
6 16
 
6.2%
4 15
 
5.8%

10월
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing3
Missing (%)6.0%
Memory size532.0 B
2023-12-13T09:12:58.546280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5744681
Min length3

Characters and Unicode

Total characters262
Distinct characters11
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

Unique47 ?
Unique (%)100.0%

Sample

1st row49,030
2nd row60,020
3rd row208,620
4th row268,930
5th row248,480
ValueCountFrequency (%)
49,030 1
 
2.1%
41,335 1
 
2.1%
33,650 1
 
2.1%
336,940 1
 
2.1%
595,780 1
 
2.1%
17,520 1
 
2.1%
27,060 1
 
2.1%
122,440 1
 
2.1%
143,230 1
 
2.1%
52,301 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T09:12:58.825853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
16.8%
, 40
15.3%
2 33
12.6%
1 25
9.5%
4 21
8.0%
3 21
8.0%
6 21
8.0%
9 19
7.3%
5 15
 
5.7%
8 14
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
84.7%
Other Punctuation 40
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
19.8%
2 33
14.9%
1 25
11.3%
4 21
9.5%
3 21
9.5%
6 21
9.5%
9 19
8.6%
5 15
 
6.8%
8 14
 
6.3%
7 9
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
16.8%
, 40
15.3%
2 33
12.6%
1 25
9.5%
4 21
8.0%
3 21
8.0%
6 21
8.0%
9 19
7.3%
5 15
 
5.7%
8 14
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
16.8%
, 40
15.3%
2 33
12.6%
1 25
9.5%
4 21
8.0%
3 21
8.0%
6 21
8.0%
9 19
7.3%
5 15
 
5.7%
8 14
 
5.3%

11월
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing4
Missing (%)8.0%
Memory size532.0 B
2023-12-13T09:12:59.006015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5869565
Min length2

Characters and Unicode

Total characters257
Distinct characters11
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

Unique46 ?
Unique (%)100.0%

Sample

1st row44,160
2nd row48,400
3rd row232,620
4th row218,090
5th row246,710
ValueCountFrequency (%)
120 1
 
2.2%
45,770 1
 
2.2%
39,730 1
 
2.2%
347,040 1
 
2.2%
537,320 1
 
2.2%
12,770 1
 
2.2%
21,910 1
 
2.2%
118,140 1
 
2.2%
111,800 1
 
2.2%
57,210 1
 
2.2%
Other values (36) 36
78.3%
2023-12-13T09:12:59.289504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
19.8%
, 40
15.6%
1 33
12.8%
2 22
8.6%
7 22
8.6%
9 18
 
7.0%
3 17
 
6.6%
4 17
 
6.6%
5 14
 
5.4%
6 13
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
84.4%
Other Punctuation 40
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
23.5%
1 33
15.2%
2 22
10.1%
7 22
10.1%
9 18
 
8.3%
3 17
 
7.8%
4 17
 
7.8%
5 14
 
6.5%
6 13
 
6.0%
8 10
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 257
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
19.8%
, 40
15.6%
1 33
12.8%
2 22
8.6%
7 22
8.6%
9 18
 
7.0%
3 17
 
6.6%
4 17
 
6.6%
5 14
 
5.4%
6 13
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
19.8%
, 40
15.6%
1 33
12.8%
2 22
8.6%
7 22
8.6%
9 18
 
7.0%
3 17
 
6.6%
4 17
 
6.6%
5 14
 
5.4%
6 13
 
5.1%

12월
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing4
Missing (%)8.0%
Memory size532.0 B
2023-12-13T09:12:59.456675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5869565
Min length3

Characters and Unicode

Total characters257
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

Unique44 ?
Unique (%)95.7%

Sample

1st row38,640
2nd row38,450
3rd row243,250
4th row207,160
5th row221,690
ValueCountFrequency (%)
1,490 2
 
4.3%
341,300 1
 
2.2%
38,640 1
 
2.2%
30,890 1
 
2.2%
490,900 1
 
2.2%
11,240 1
 
2.2%
13,110 1
 
2.2%
113,330 1
 
2.2%
94,911 1
 
2.2%
63,530 1
 
2.2%
Other values (35) 35
76.1%
2023-12-13T09:12:59.738027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
19.1%
, 40
15.6%
1 37
14.4%
3 25
9.7%
2 20
7.8%
4 19
 
7.4%
9 18
 
7.0%
8 14
 
5.4%
5 13
 
5.1%
7 12
 
4.7%
Other values (2) 10
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
84.0%
Other Punctuation 40
 
15.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
22.7%
1 37
17.1%
3 25
11.6%
2 20
9.3%
4 19
 
8.8%
9 18
 
8.3%
8 14
 
6.5%
5 13
 
6.0%
7 12
 
5.6%
6 9
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 257
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
19.1%
, 40
15.6%
1 37
14.4%
3 25
9.7%
2 20
7.8%
4 19
 
7.4%
9 18
 
7.0%
8 14
 
5.4%
5 13
 
5.1%
7 12
 
4.7%
Other values (2) 10
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
19.1%
, 40
15.6%
1 37
14.4%
3 25
9.7%
2 20
7.8%
4 19
 
7.4%
9 18
 
7.0%
8 14
 
5.4%
5 13
 
5.1%
7 12
 
4.7%
Other values (2) 10
 
3.9%

Correlations

2023-12-13T09:12:59.824221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목연도합계1월2월3월4월5월6월7월8월9월10월11월12월
품목1.0000.0001.0001.0001.0001.0000.9470.9791.0001.0001.0000.9771.0001.0000.975
연도0.0001.0001.0001.0001.0001.0001.0000.0001.0000.0001.0001.0001.0001.0001.000
합계1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
1월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
3월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
4월0.9471.0001.0001.0001.0001.0001.0000.9961.0000.9861.0001.0001.0001.0000.986
5월0.9790.0001.0001.0001.0001.0000.9961.0001.0000.9961.0000.9981.0001.0000.996
6월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
7월1.0000.0001.0001.0001.0001.0000.9860.9961.0001.0001.0000.9961.0001.0000.998
8월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
9월0.9771.0001.0001.0001.0001.0001.0000.9981.0000.9961.0001.0001.0001.0000.996
10월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
11월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
12월0.9751.0001.0001.0001.0001.0000.9860.9961.0000.9981.0000.9961.0001.0001.000

Missing values

2023-12-13T09:12:52.734487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:12:52.881405image/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.
2023-12-13T09:12:53.030103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

품목구분연도합계1월2월3월4월5월6월7월8월9월10월11월12월
0소각용 5L수량2018년622,24039,82029,39035,88043,59057,80051,61089,11095,73047,48049,03044,16038,640
1소각용 5L수량2019년664,53043,63032,09032,98051,11048,57056,38080,690116,28055,93060,02048,40038,450
2소각용 10L수량2018년2,853,570252,640217,750201,350197,920240,740231,620268,150289,840269,070208,620232,620243,250
3소각용 10L수량2019년2,830,677297,960173,360184,820204,390225,287220,490264,000308,560257,630268,930218,090207,160
4소각용 20L수량2018년2,676,730208,240225,380235,770237,570229,870171,970200,290228,340222,420248,480246,710221,690
5소각용 20L수량2019년2,544,225280,270196,820233,720209,740193,468162,620194,080222,976202,690222,820203,190221,831
6소각용 50L수량2018년1,123,81088,25081,79085,799106,37096,86085,04093,29093,34096,98199,68099,25097,160
7소각용 50L수량2019년1,211,222123,23081,730102,230105,268102,64587,320104,870111,15698,961106,651105,77081,391
8소각용 100L수량2018년1,136,88084,66981,33582,021103,780102,09484,21091,00096,96088,881102,450110,080109,400
9소각용 100L수량2019년1,279,228123,54080,220109,180108,407115,72597,840112,422105,864100,418112,182112,674100,756
품목구분연도합계1월2월3월4월5월6월7월8월9월10월11월12월
40필증 60L수량2018년58<NA><NA><NA><NA>58<NA><NA><NA><NA><NA><NA><NA>
41필증 60L수량2019년18<NA><NA><NA><NA>18<NA><NA><NA><NA><NA><NA><NA>
42스티커 1,000원수량2018년217,46812,62515,93514,37824,74021,45518,51517,09020,33518,23020,87517,71515,575
43스티커 1,000원수량2019년273,04620,28519,74526,85023,64723,15020,22024,23526,31022,30026,26321,73118,310
44스티커 2,000원수량2018년321,37421,04523,59017,58434,29529,74026,65525,94029,81029,59030,98027,68024,465
45스티커 2,000원수량2019년403,49232,10527,13537,92535,03036,25530,02536,65538,44531,84538,19732,84327,032
46스티커 5,000원수량2018년115,1087,4059,48013,17312,0459,6408,3058,8159,9059,4909,9208,9407,990
47스티커 5,000원수량2019년125,04810,7308,67512,77011,96110,4208,46010,18512,26210,25411,1929,9798,160
48공사장생활폐기물포대 30kg수량2018년162,6419,2979,53613,99717,82014,63714,59814,06112,65913,44015,48914,19912,908
49공사장생활폐기물포대 30kg수량2019년177,85913,84710,30816,75016,99415,89813,63614,36215,53215,12616,84615,96712,593