Overview

Dataset statistics

Number of variables24
Number of observations38
Missing cells46
Missing cells (%)5.0%
Duplicate rows1
Duplicate rows (%)2.6%
Total size in memory8.1 KiB
Average record size in memory217.5 B

Variable types

Categorical1
Text1
Numeric22

Dataset

Description2001-2022년 연도별, 결핵 종류별(폐결핵, 폐외결핵), 연령별(5세 단위) 결핵 신환자 수(질병관리청) (*매년 결핵환자 신고현황 연보 내 통계 수치는 익년 3월 24일에 공표됨)
URLhttps://www.data.go.kr/data/15102898/fileData.do

Alerts

Dataset has 1 (2.6%) duplicate rowsDuplicates
연령대 has 2 (5.3%) missing valuesMissing
2001년 has 2 (5.3%) missing valuesMissing
2002년 has 2 (5.3%) missing valuesMissing
2003년 has 2 (5.3%) missing valuesMissing
2004년 has 2 (5.3%) missing valuesMissing
2005년 has 2 (5.3%) missing valuesMissing
2006년 has 2 (5.3%) missing valuesMissing
2007년 has 2 (5.3%) missing valuesMissing
2008년 has 2 (5.3%) missing valuesMissing
2009년 has 2 (5.3%) missing valuesMissing
2010년 has 2 (5.3%) missing valuesMissing
2011년 has 2 (5.3%) missing valuesMissing
2012년 has 2 (5.3%) missing valuesMissing
2013년 has 2 (5.3%) missing valuesMissing
2014년 has 2 (5.3%) missing valuesMissing
2015년 has 2 (5.3%) missing valuesMissing
2016년 has 2 (5.3%) missing valuesMissing
2017년 has 2 (5.3%) missing valuesMissing
2018년 has 2 (5.3%) missing valuesMissing
2019년 has 2 (5.3%) missing valuesMissing
2020년 has 2 (5.3%) missing valuesMissing
2021년 has 2 (5.3%) missing valuesMissing
2022년 has 2 (5.3%) missing valuesMissing
2001년 has 2 (5.3%) zerosZeros
2002년 has 2 (5.3%) zerosZeros
2003년 has 2 (5.3%) zerosZeros
2004년 has 2 (5.3%) zerosZeros
2005년 has 2 (5.3%) zerosZeros
2006년 has 2 (5.3%) zerosZeros
2007년 has 2 (5.3%) zerosZeros
2008년 has 2 (5.3%) zerosZeros
2009년 has 2 (5.3%) zerosZeros
2010년 has 2 (5.3%) zerosZeros
2011년 has 2 (5.3%) zerosZeros
2013년 has 1 (2.6%) zerosZeros
2014년 has 2 (5.3%) zerosZeros
2015년 has 2 (5.3%) zerosZeros
2016년 has 2 (5.3%) zerosZeros
2017년 has 2 (5.3%) zerosZeros
2018년 has 2 (5.3%) zerosZeros
2019년 has 2 (5.3%) zerosZeros
2020년 has 2 (5.3%) zerosZeros
2021년 has 3 (7.9%) zerosZeros
2022년 has 2 (5.3%) zerosZeros

Reproduction

Analysis started2023-12-12 10:18:03.462844
Analysis finished2023-12-12 10:18:03.763589
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

결핵종류
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐결핵
18 
폐외결핵
18 
<NA>

Length

Max length4
Median length4
Mean length3.5263158
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐결핵 18
47.4%
폐외결핵 18
47.4%
<NA> 2
 
5.3%

Length

2023-12-12T19:18:03.840136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:03.952398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐결핵 18
47.4%
폐외결핵 18
47.4%
na 2
 
5.3%

연령대
Text

MISSING 

Distinct18
Distinct (%)50.0%
Missing2
Missing (%)5.3%
Memory size436.0 B
2023-12-12T19:18:04.132665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters204
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
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 row0~4세
2nd row5~9세
3rd row10~14세
4th row15~19세
5th row20~24세
ValueCountFrequency (%)
0~4세 2
 
5.3%
50~54세 2
 
5.3%
이상 2
 
5.3%
80세 2
 
5.3%
75~79세 2
 
5.3%
70~74세 2
 
5.3%
65~69세 2
 
5.3%
60~64세 2
 
5.3%
55~59세 2
 
5.3%
45~49세 2
 
5.3%
Other values (9) 18
47.4%
2023-12-12T19:18:04.591196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
16.7%
~ 32
15.7%
4 24
11.8%
5 24
11.8%
0 18
8.8%
9 16
7.8%
3 8
 
3.9%
7 8
 
3.9%
6 8
 
3.9%
2 8
 
3.9%
Other values (8) 24
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
60.8%
Other Letter 46
 
22.5%
Math Symbol 32
 
15.7%
Space Separator 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 24
19.4%
5 24
19.4%
0 18
14.5%
9 16
12.9%
3 8
 
6.5%
7 8
 
6.5%
6 8
 
6.5%
2 8
 
6.5%
1 8
 
6.5%
8 2
 
1.6%
Other Letter
ValueCountFrequency (%)
34
73.9%
4
 
8.7%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
77.5%
Hangul 46
 
22.5%

Most frequent character per script

Common
ValueCountFrequency (%)
~ 32
20.3%
4 24
15.2%
5 24
15.2%
0 18
11.4%
9 16
10.1%
3 8
 
5.1%
7 8
 
5.1%
6 8
 
5.1%
2 8
 
5.1%
1 8
 
5.1%
Other values (2) 4
 
2.5%
Hangul
ValueCountFrequency (%)
34
73.9%
4
 
8.7%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
77.5%
Hangul 46
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
34
73.9%
4
 
8.7%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
ASCII
ValueCountFrequency (%)
~ 32
20.3%
4 24
15.2%
5 24
15.2%
0 18
11.4%
9 16
10.1%
3 8
 
5.1%
7 8
 
5.1%
6 8
 
5.1%
2 8
 
5.1%
1 8
 
5.1%
Other values (2) 4
 
2.5%

2001년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean947.86111
Minimum0
Maximum3651
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:04.739338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.25
Q1142.5
median301
Q31729
95-th percentile2979
Maximum3651
Range3651
Interquartile range (IQR)1586.5

Descriptive statistics

Standard deviation1072.6466
Coefficient of variation (CV)1.1316495
Kurtosis0.064563762
Mean947.86111
Median Absolute Deviation (MAD)251.5
Skewness1.0718266
Sum34123
Variance1150570.6
MonotonicityNot monotonic
2023-12-12T19:18:04.887970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
116 1
 
2.6%
123 1
 
2.6%
149 1
 
2.6%
242 1
 
2.6%
226 1
 
2.6%
203 1
 
2.6%
201 1
 
2.6%
31 1
 
2.6%
305 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
31 1
2.6%
48 1
2.6%
51 1
2.6%
62 1
2.6%
72 1
2.6%
116 1
2.6%
123 1
2.6%
149 1
2.6%
189 1
2.6%
ValueCountFrequency (%)
3651 1
2.6%
3507 1
2.6%
2803 1
2.6%
2356 1
2.6%
2355 1
2.6%
2179 1
2.6%
1965 1
2.6%
1905 1
2.6%
1891 1
2.6%
1675 1
2.6%

2002년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean889.16667
Minimum0
Maximum3262
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:05.034103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.5
Q1162
median347.5
Q31638.5
95-th percentile2742.5
Maximum3262
Range3262
Interquartile range (IQR)1476.5

Descriptive statistics

Standard deviation971.15447
Coefficient of variation (CV)1.0922075
Kurtosis-0.19794159
Mean889.16667
Median Absolute Deviation (MAD)310.5
Skewness0.98200753
Sum32010
Variance943141
MonotonicityNot monotonic
2023-12-12T19:18:05.470033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
198 2
 
5.3%
1947 1
 
2.6%
3128 1
 
2.6%
140 1
 
2.6%
150 1
 
2.6%
182 1
 
2.6%
248 1
 
2.6%
260 1
 
2.6%
237 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
26 1
2.6%
34 1
2.6%
40 1
2.6%
44 1
2.6%
54 1
2.6%
140 1
2.6%
150 1
2.6%
166 1
2.6%
182 1
2.6%
ValueCountFrequency (%)
3262 1
2.6%
3128 1
2.6%
2614 1
2.6%
2124 1
2.6%
1975 1
2.6%
1947 1
2.6%
1915 1
2.6%
1913 1
2.6%
1877 1
2.6%
1559 1
2.6%

2003년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean852.41667
Minimum0
Maximum3071
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:05.632743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1165.5
median302.5
Q31633.75
95-th percentile2577.25
Maximum3071
Range3071
Interquartile range (IQR)1468.25

Descriptive statistics

Standard deviation925.04457
Coefficient of variation (CV)1.0852023
Kurtosis-0.38180818
Mean852.41667
Median Absolute Deviation (MAD)259.5
Skewness0.93389722
Sum30687
Variance855707.45
MonotonicityNot monotonic
2023-12-12T19:18:05.788300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
1200 2
 
5.3%
41 1
 
2.6%
331 1
 
2.6%
471 1
 
2.6%
406 1
 
2.6%
278 1
 
2.6%
308 1
 
2.6%
297 1
 
2.6%
215 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
40 1
2.6%
41 1
2.6%
45 1
2.6%
57 1
2.6%
58 1
2.6%
127 1
2.6%
149 1
2.6%
171 1
2.6%
182 1
2.6%
ValueCountFrequency (%)
3071 1
2.6%
2917 1
2.6%
2464 1
2.6%
2092 1
2.6%
1952 1
2.6%
1908 1
2.6%
1838 1
2.6%
1799 1
2.6%
1738 1
2.6%
1599 1
2.6%

2004년
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)91.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean875.08333
Minimum0
Maximum3071
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:05.937968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1170
median292
Q31756.5
95-th percentile2622.25
Maximum3071
Range3071
Interquartile range (IQR)1586.5

Descriptive statistics

Standard deviation949.47707
Coefficient of variation (CV)1.0850133
Kurtosis-0.82336535
Mean875.08333
Median Absolute Deviation (MAD)265
Skewness0.79954943
Sum31503
Variance901506.71
MonotonicityNot monotonic
2023-12-12T19:18:06.200856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.3%
281 2
 
5.3%
179 2
 
5.3%
1832 1
 
2.6%
16 1
 
2.6%
141 1
 
2.6%
149 1
 
2.6%
189 1
 
2.6%
209 1
 
2.6%
235 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
16 1
2.6%
25 1
2.6%
29 1
2.6%
36 1
2.6%
43 1
2.6%
141 1
2.6%
149 1
2.6%
177 1
2.6%
179 2
5.3%
ValueCountFrequency (%)
3071 1
2.6%
2635 1
2.6%
2618 1
2.6%
2171 1
2.6%
2063 1
2.6%
2029 1
2.6%
1895 1
2.6%
1832 1
2.6%
1767 1
2.6%
1753 1
2.6%

2005년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean979.69444
Minimum0
Maximum3219
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:06.387473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.75
Q1232.75
median427
Q31840.5
95-th percentile2577.75
Maximum3219
Range3219
Interquartile range (IQR)1607.75

Descriptive statistics

Standard deviation977.4182
Coefficient of variation (CV)0.99767657
Kurtosis-1.0374347
Mean979.69444
Median Absolute Deviation (MAD)379
Skewness0.69227447
Sum35269
Variance955346.33
MonotonicityNot monotonic
2023-12-12T19:18:06.542081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
244 1
 
2.6%
220 1
 
2.6%
299 1
 
2.6%
329 1
 
2.6%
303 1
 
2.6%
301 1
 
2.6%
330 1
 
2.6%
25 1
 
2.6%
389 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
25 1
2.6%
42 1
2.6%
54 1
2.6%
61 1
2.6%
62 1
2.6%
209 1
2.6%
220 1
2.6%
237 1
2.6%
244 1
2.6%
ValueCountFrequency (%)
3219 1
2.6%
2601 1
2.6%
2570 1
2.6%
2355 1
2.6%
2216 1
2.6%
2198 1
2.6%
2143 1
2.6%
2057 1
2.6%
1857 1
2.6%
1835 1
2.6%

2006년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean982.25
Minimum0
Maximum3244
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:06.701949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.75
Q1256.25
median408
Q32031
95-th percentile2416
Maximum3244
Range3244
Interquartile range (IQR)1774.75

Descriptive statistics

Standard deviation984.03523
Coefficient of variation (CV)1.0018175
Kurtosis-1.1296026
Mean982.25
Median Absolute Deviation (MAD)374.5
Skewness0.66030676
Sum35361
Variance968325.34
MonotonicityNot monotonic
2023-12-12T19:18:06.855705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
423 2
 
5.3%
2049 1
 
2.6%
2387 1
 
2.6%
258 1
 
2.6%
267 1
 
2.6%
313 1
 
2.6%
344 1
 
2.6%
278 1
 
2.6%
274 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
25 1
2.6%
31 1
2.6%
36 1
2.6%
49 1
2.6%
55 1
2.6%
188 1
2.6%
251 1
2.6%
258 1
2.6%
267 1
2.6%
ValueCountFrequency (%)
3244 1
2.6%
2503 1
2.6%
2387 1
2.6%
2373 1
2.6%
2256 1
2.6%
2193 1
2.6%
2135 1
2.6%
2073 1
2.6%
2049 1
2.6%
2025 1
2.6%

2007년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean964.16667
Minimum0
Maximum3022
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:07.044276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5
Q1248
median392
Q32014.25
95-th percentile2345
Maximum3022
Range3022
Interquartile range (IQR)1766.25

Descriptive statistics

Standard deviation955.61252
Coefficient of variation (CV)0.99112794
Kurtosis-1.3208849
Mean964.16667
Median Absolute Deviation (MAD)361.5
Skewness0.60349993
Sum34710
Variance913195.29
MonotonicityNot monotonic
2023-12-12T19:18:07.221987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
248 2
 
5.3%
2113 1
 
2.6%
2197 1
 
2.6%
308 1
 
2.6%
307 1
 
2.6%
337 1
 
2.6%
277 1
 
2.6%
314 1
 
2.6%
371 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
22 1
2.6%
27 1
2.6%
34 1
2.6%
41 1
2.6%
48 1
2.6%
202 1
2.6%
248 2
5.3%
277 1
2.6%
307 1
2.6%
ValueCountFrequency (%)
3022 1
2.6%
2390 1
2.6%
2330 1
2.6%
2249 1
2.6%
2197 1
2.6%
2176 1
2.6%
2121 1
2.6%
2113 1
2.6%
2084 1
2.6%
1991 1
2.6%

2008년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean948.80556
Minimum0
Maximum2807
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:07.386977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q1299.25
median462.5
Q31896.25
95-th percentile2156
Maximum2807
Range2807
Interquartile range (IQR)1597

Descriptive statistics

Standard deviation889.06412
Coefficient of variation (CV)0.93703512
Kurtosis-1.4102845
Mean948.80556
Median Absolute Deviation (MAD)439
Skewness0.52925687
Sum34157
Variance790435.02
MonotonicityNot monotonic
2023-12-12T19:18:07.566972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
339 1
 
2.6%
335 1
 
2.6%
420 1
 
2.6%
398 1
 
2.6%
303 1
 
2.6%
358 1
 
2.6%
475 1
 
2.6%
28 1
 
2.6%
437 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
20 1
2.6%
23 1
2.6%
24 1
2.6%
28 1
2.6%
45 1
2.6%
181 1
2.6%
288 1
2.6%
303 1
2.6%
335 1
2.6%
ValueCountFrequency (%)
2807 1
2.6%
2228 1
2.6%
2132 1
2.6%
2103 1
2.6%
2098 1
2.6%
2065 1
2.6%
2051 1
2.6%
2005 1
2.6%
1945 1
2.6%
1880 1
2.6%

2009년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean995.69444
Minimum0
Maximum2685
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:07.752223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.25
Q1384
median545
Q31964.25
95-th percentile2217.75
Maximum2685
Range2685
Interquartile range (IQR)1580.25

Descriptive statistics

Standard deviation884.41273
Coefficient of variation (CV)0.88823708
Kurtosis-1.5166948
Mean995.69444
Median Absolute Deviation (MAD)522
Skewness0.45232549
Sum35845
Variance782185.88
MonotonicityNot monotonic
2023-12-12T19:18:07.916131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
427 1
 
2.6%
401 1
 
2.6%
492 1
 
2.6%
467 1
 
2.6%
400 1
 
2.6%
461 1
 
2.6%
572 1
 
2.6%
19 1
 
2.6%
556 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
19 1
2.6%
22 1
2.6%
24 1
2.6%
32 1
2.6%
53 1
2.6%
198 1
2.6%
336 1
2.6%
400 1
2.6%
401 1
2.6%
ValueCountFrequency (%)
2685 1
2.6%
2265 1
2.6%
2202 1
2.6%
2192 1
2.6%
2130 1
2.6%
2082 1
2.6%
2081 1
2.6%
2020 1
2.6%
2007 1
2.6%
1950 1
2.6%

2010년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean1008.4722
Minimum0
Maximum2303
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:08.094845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.75
Q1472.5
median621
Q31910.75
95-th percentile2234.75
Maximum2303
Range2303
Interquartile range (IQR)1438.25

Descriptive statistics

Standard deviation834.6987
Coefficient of variation (CV)0.82768635
Kurtosis-1.587355
Mean1008.4722
Median Absolute Deviation (MAD)598
Skewness0.34087656
Sum36305
Variance696721.91
MonotonicityNot monotonic
2023-12-12T19:18:08.245512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
610 1
 
2.6%
506 1
 
2.6%
622 1
 
2.6%
526 1
 
2.6%
507 1
 
2.6%
562 1
 
2.6%
679 1
 
2.6%
29 1
 
2.6%
596 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
17 1
2.6%
22 1
2.6%
24 1
2.6%
29 1
2.6%
68 1
2.6%
199 1
2.6%
372 1
2.6%
506 1
2.6%
507 1
2.6%
ValueCountFrequency (%)
2303 1
2.6%
2273 1
2.6%
2222 1
2.6%
2177 1
2.6%
2074 1
2.6%
2068 1
2.6%
2023 1
2.6%
1953 1
2.6%
1928 1
2.6%
1905 1
2.6%

2011년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean1098.8056
Minimum0
Maximum2521
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:08.388236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1529.25
median738.5
Q32033.75
95-th percentile2426.5
Maximum2521
Range2521
Interquartile range (IQR)1504.5

Descriptive statistics

Standard deviation884.74913
Coefficient of variation (CV)0.80519171
Kurtosis-1.4960921
Mean1098.8056
Median Absolute Deviation (MAD)714.5
Skewness0.32235675
Sum39557
Variance782781.02
MonotonicityNot monotonic
2023-12-12T19:18:08.558235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
679 1
 
2.6%
622 1
 
2.6%
717 1
 
2.6%
579 1
 
2.6%
593 1
 
2.6%
653 1
 
2.6%
853 1
 
2.6%
16 1
 
2.6%
749 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
16 1
2.6%
22 1
2.6%
26 1
2.6%
33 1
2.6%
72 1
2.6%
233 1
2.6%
380 1
2.6%
579 1
2.6%
593 1
2.6%
ValueCountFrequency (%)
2521 1
2.6%
2467 1
2.6%
2413 1
2.6%
2362 1
2.6%
2304 1
2.6%
2179 1
2.6%
2111 1
2.6%
2108 1
2.6%
2063 1
2.6%
2024 1
2.6%

2012년
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean1098.4722
Minimum9
Maximum2951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:08.748101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile21.5
Q1461.75
median651
Q31978.25
95-th percentile2690.25
Maximum2951
Range2942
Interquartile range (IQR)1516.5

Descriptive statistics

Standard deviation958.10699
Coefficient of variation (CV)0.87221777
Kurtosis-1.2410939
Mean1098.4722
Median Absolute Deviation (MAD)626.5
Skewness0.52728266
Sum39545
Variance917969
MonotonicityNot monotonic
2023-12-12T19:18:08.931700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20 1
 
2.6%
305 1
 
2.6%
514 1
 
2.6%
609 1
 
2.6%
608 1
 
2.6%
572 1
 
2.6%
661 1
 
2.6%
650 1
 
2.6%
771 1
 
2.6%
652 1
 
2.6%
Other values (26) 26
68.4%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
9 1
2.6%
20 1
2.6%
22 1
2.6%
23 1
2.6%
26 1
2.6%
33 1
2.6%
51 1
2.6%
148 1
2.6%
305 1
2.6%
514 1
2.6%
ValueCountFrequency (%)
2951 1
2.6%
2745 1
2.6%
2672 1
2.6%
2553 1
2.6%
2324 1
2.6%
2286 1
2.6%
2257 1
2.6%
2124 1
2.6%
2051 1
2.6%
1954 1
2.6%

2013년
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)100.0%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean1002.4722
Minimum0
Maximum3174
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:09.083523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1338.25
median582
Q31813
95-th percentile2462.25
Maximum3174
Range3174
Interquartile range (IQR)1474.75

Descriptive statistics

Standard deviation915.44617
Coefficient of variation (CV)0.91318856
Kurtosis-0.83137177
Mean1002.4722
Median Absolute Deviation (MAD)560
Skewness0.66754604
Sum36089
Variance838041.68
MonotonicityNot monotonic
2023-12-12T19:18:09.229621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
9 1
 
2.6%
186 1
 
2.6%
389 1
 
2.6%
520 1
 
2.6%
542 1
 
2.6%
471 1
 
2.6%
556 1
 
2.6%
561 1
 
2.6%
677 1
 
2.6%
644 1
 
2.6%
Other values (26) 26
68.4%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 1
2.6%
5 1
2.6%
9 1
2.6%
12 1
2.6%
16 1
2.6%
28 1
2.6%
33 1
2.6%
122 1
2.6%
186 1
2.6%
389 1
2.6%
ValueCountFrequency (%)
3174 1
2.6%
2478 1
2.6%
2457 1
2.6%
2430 1
2.6%
2114 1
2.6%
2089 1
2.6%
2052 1
2.6%
1945 1
2.6%
1900 1
2.6%
1784 1
2.6%

2014년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean968.58333
Minimum0
Maximum3181
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:09.372043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q1337.25
median554
Q31729
95-th percentile2449.5
Maximum3181
Range3181
Interquartile range (IQR)1391.75

Descriptive statistics

Standard deviation909.2374
Coefficient of variation (CV)0.93872914
Kurtosis-0.62327421
Mean968.58333
Median Absolute Deviation (MAD)534
Skewness0.75563744
Sum34869
Variance826712.65
MonotonicityNot monotonic
2023-12-12T19:18:09.523329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
765 1
 
2.6%
539 1
 
2.6%
569 1
 
2.6%
431 1
 
2.6%
500 1
 
2.6%
586 1
 
2.6%
626 1
 
2.6%
5 1
 
2.6%
525 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
5 1
2.6%
16 1
2.6%
19 1
2.6%
21 1
2.6%
22 1
2.6%
93 1
2.6%
161 1
2.6%
396 1
2.6%
424 1
2.6%
ValueCountFrequency (%)
3181 1
2.6%
2592 1
2.6%
2402 1
2.6%
2352 1
2.6%
2330 1
2.6%
2026 1
2.6%
1925 1
2.6%
1794 1
2.6%
1732 1
2.6%
1728 1
2.6%

2015년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean893.91667
Minimum0
Maximum3300
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:09.672793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q1268.5
median567.5
Q31562.25
95-th percentile2289.25
Maximum3300
Range3300
Interquartile range (IQR)1293.75

Descriptive statistics

Standard deviation853.70465
Coefficient of variation (CV)0.95501592
Kurtosis0.20176834
Mean893.91667
Median Absolute Deviation (MAD)556
Skewness0.94635817
Sum32181
Variance728811.62
MonotonicityNot monotonic
2023-12-12T19:18:09.809259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
10 2
 
5.3%
0 2
 
5.3%
1362 1
 
2.6%
1542 1
 
2.6%
833 1
 
2.6%
607 1
 
2.6%
581 1
 
2.6%
446 1
 
2.6%
482 1
 
2.6%
554 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
6 1
2.6%
10 2
5.3%
13 1
2.6%
28 1
2.6%
100 1
2.6%
147 1
2.6%
309 1
2.6%
352 1
2.6%
386 1
2.6%
ValueCountFrequency (%)
3300 1
2.6%
2464 1
2.6%
2231 1
2.6%
2108 1
2.6%
2084 1
2.6%
1770 1
2.6%
1725 1
2.6%
1642 1
2.6%
1623 1
2.6%
1542 1
2.6%

2016년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean858.11111
Minimum0
Maximum3795
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:09.948924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1236.75
median496
Q31446
95-th percentile2222.5
Maximum3795
Range3795
Interquartile range (IQR)1209.25

Descriptive statistics

Standard deviation880.45825
Coefficient of variation (CV)1.0260422
Kurtosis1.990558
Mean858.11111
Median Absolute Deviation (MAD)486.5
Skewness1.3440692
Sum30892
Variance775206.73
MonotonicityNot monotonic
2023-12-12T19:18:10.113294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
898 1
 
2.6%
605 1
 
2.6%
491 1
 
2.6%
461 1
 
2.6%
453 1
 
2.6%
573 1
 
2.6%
501 1
 
2.6%
4 1
 
2.6%
396 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
4 1
2.6%
7 1
2.6%
9 1
2.6%
10 1
2.6%
23 1
2.6%
79 1
2.6%
110 1
2.6%
279 1
2.6%
321 1
2.6%
ValueCountFrequency (%)
3795 1
2.6%
2452 1
2.6%
2146 1
2.6%
1947 1
2.6%
1911 1
2.6%
1774 1
2.6%
1756 1
2.6%
1715 1
2.6%
1467 1
2.6%
1439 1
2.6%

2017년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean782.25
Minimum0
Maximum3799
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:10.266181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q1187
median478.5
Q31158.5
95-th percentile2114.75
Maximum3799
Range3799
Interquartile range (IQR)971.5

Descriptive statistics

Standard deviation837.24911
Coefficient of variation (CV)1.0703089
Kurtosis3.4690249
Mean782.25
Median Absolute Deviation (MAD)464.5
Skewness1.6448226
Sum28161
Variance700986.08
MonotonicityNot monotonic
2023-12-12T19:18:10.403017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
912 1
 
2.6%
580 1
 
2.6%
455 1
 
2.6%
416 1
 
2.6%
502 1
 
2.6%
583 1
 
2.6%
388 1
 
2.6%
3 1
 
2.6%
373 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
3 1
2.6%
5 1
2.6%
6 1
2.6%
10 1
2.6%
18 1
2.6%
57 1
2.6%
88 1
2.6%
220 1
2.6%
284 1
2.6%
ValueCountFrequency (%)
3799 1
2.6%
2339 1
2.6%
2040 1
2.6%
1741 1
2.6%
1738 1
2.6%
1700 1
2.6%
1556 1
2.6%
1499 1
2.6%
1229 1
2.6%
1135 1
2.6%

2018년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean734.25
Minimum0
Maximum4099
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:10.558114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q1159
median428.5
Q3962.5
95-th percentile2038.75
Maximum4099
Range4099
Interquartile range (IQR)803.5

Descriptive statistics

Standard deviation856.05495
Coefficient of variation (CV)1.1658903
Kurtosis5.8420796
Mean734.25
Median Absolute Deviation (MAD)411.5
Skewness2.1043502
Sum26433
Variance732830.08
MonotonicityNot monotonic
2023-12-12T19:18:10.712128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
267 2
 
5.3%
368 1
 
2.6%
706 1
 
2.6%
967 1
 
2.6%
565 1
 
2.6%
418 1
 
2.6%
392 1
 
2.6%
459 1
 
2.6%
489 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
3 1
2.6%
4 1
2.6%
7 1
2.6%
14 1
2.6%
20 1
2.6%
29 1
2.6%
63 1
2.6%
191 1
2.6%
265 1
2.6%
ValueCountFrequency (%)
4099 1
2.6%
2479 1
2.6%
1892 1
2.6%
1718 1
2.6%
1583 1
2.6%
1543 1
2.6%
1526 1
2.6%
1279 1
2.6%
967 1
2.6%
961 1
2.6%

2019년
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean661.69444
Minimum0
Maximum4006
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:10.864360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q1128
median382
Q3875
95-th percentile1790.25
Maximum4006
Range4006
Interquartile range (IQR)747

Descriptive statistics

Standard deviation804.49359
Coefficient of variation (CV)1.2158083
Kurtosis7.5828975
Mean661.69444
Median Absolute Deviation (MAD)368
Skewness2.3618448
Sum23821
Variance647209.93
MonotonicityNot monotonic
2023-12-12T19:18:11.044280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.3%
998 1
 
2.6%
546 1
 
2.6%
379 1
 
2.6%
361 1
 
2.6%
426 1
 
2.6%
430 1
 
2.6%
385 1
 
2.6%
4 1
 
2.6%
250 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
2 1
2.6%
3 1
2.6%
4 1
2.6%
13 1
2.6%
15 1
2.6%
42 1
2.6%
50 1
2.6%
154 1
2.6%
224 1
2.6%
ValueCountFrequency (%)
4006 1
2.6%
2088 1
2.6%
1691 1
2.6%
1631 1
2.6%
1490 1
2.6%
1381 1
2.6%
1350 1
2.6%
1118 1
2.6%
998 1
2.6%
834 1
2.6%

2020년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean553.69444
Minimum0
Maximum3437
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:11.189159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q1113.5
median368
Q3687
95-th percentile1447.25
Maximum3437
Range3437
Interquartile range (IQR)573.5

Descriptive statistics

Standard deviation675.61307
Coefficient of variation (CV)1.2201912
Kurtosis8.6110529
Mean553.69444
Median Absolute Deviation (MAD)290.5
Skewness2.5019518
Sum19933
Variance456453.02
MonotonicityNot monotonic
2023-12-12T19:18:11.734335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
5.3%
5 2
 
5.3%
180 1
 
2.6%
441 1
 
2.6%
1008 1
 
2.6%
465 1
 
2.6%
370 1
 
2.6%
366 1
 
2.6%
413 1
 
2.6%
393 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
3 1
2.6%
5 2
5.3%
6 1
2.6%
10 1
2.6%
22 1
2.6%
40 1
2.6%
138 1
2.6%
180 1
2.6%
199 1
2.6%
ValueCountFrequency (%)
3437 1
2.6%
1712 1
2.6%
1359 1
2.6%
1262 1
2.6%
1252 1
2.6%
1172 1
2.6%
1103 1
2.6%
1008 1
2.6%
885 1
2.6%
621 1
2.6%

2021년
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)94.4%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean509.30556
Minimum0
Maximum3495
Zeros3
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:11.903560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.5
median334
Q3585.5
95-th percentile1374.5
Maximum3495
Range3495
Interquartile range (IQR)504

Descriptive statistics

Standard deviation667.71319
Coefficient of variation (CV)1.3110267
Kurtosis10.775225
Mean509.30556
Median Absolute Deviation (MAD)271
Skewness2.8295008
Sum18335
Variance445840.9
MonotonicityNot monotonic
2023-12-12T19:18:12.089743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
7.9%
19 1
 
2.6%
7 1
 
2.6%
886 1
 
2.6%
433 1
 
2.6%
347 1
 
2.6%
341 1
 
2.6%
413 1
 
2.6%
337 1
 
2.6%
328 1
 
2.6%
Other values (24) 24
63.2%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 3
7.9%
2 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
7 1
 
2.6%
19 1
 
2.6%
26 1
 
2.6%
100 1
 
2.6%
129 1
 
2.6%
159 1
 
2.6%
ValueCountFrequency (%)
3495 1
2.6%
1523 1
2.6%
1325 1
2.6%
1271 1
2.6%
1123 1
2.6%
1110 1
2.6%
1022 1
2.6%
886 1
2.6%
719 1
2.6%
541 1
2.6%

2022년
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)91.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean451.77778
Minimum0
Maximum3393
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T19:18:12.281156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q152
median285.5
Q3493
95-th percentile1229.75
Maximum3393
Range3393
Interquartile range (IQR)441

Descriptive statistics

Standard deviation637.27604
Coefficient of variation (CV)1.4105962
Kurtosis12.542775
Mean451.77778
Median Absolute Deviation (MAD)244.5
Skewness3.0982748
Sum16264
Variance406120.75
MonotonicityNot monotonic
2023-12-12T19:18:12.450732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 2
 
5.3%
1 2
 
5.3%
0 2
 
5.3%
16 1
 
2.6%
897 1
 
2.6%
411 1
 
2.6%
355 1
 
2.6%
339 1
 
2.6%
348 1
 
2.6%
289 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
0 2
5.3%
1 2
5.3%
3 2
5.3%
4 1
2.6%
14 1
2.6%
16 1
2.6%
64 1
2.6%
104 1
2.6%
124 1
2.6%
158 1
2.6%
ValueCountFrequency (%)
3393 1
2.6%
1418 1
2.6%
1167 1
2.6%
1147 1
2.6%
1089 1
2.6%
933 1
2.6%
897 1
2.6%
823 1
2.6%
553 1
2.6%
473 1
2.6%

Sample

결핵종류연령대2001년2002년2003년2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
0폐결핵0~4세51444536623634202424263312211010673603
1폐결핵5~9세7254582554554124322222221616109532521
2폐결핵10~14세2831982011792091882021811981992331481229310079572942221914
3폐결핵15~19세2355194718381832177020492113174218341699165013251095970867640534368277180129104
4폐결핵20~24세3507312829172635260123872197194519501842188518511710159213621140915706591441331200
5폐결핵25~29세36513262307130713219324430222807268522732362228619451794154214391135948819621531346
6폐결핵30~34세2803261424642618257025032330205120201953211120511900165113751222960836679544470370
7폐결핵35~39세21791975195220632198225622492098208119281962185015991501133711941061906763603489372
8폐결핵40~44세23562124209221712216207320842005208219052063212420521925164214671229961834617541473
9폐결핵45~49세1905191319082029235523732390222822022177217922572089202617701756149912791118885719553
결핵종류연령대2001년2002년2003년2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
28폐외결핵50~54세201237215179330337371475572679853771677626591501388420385322328282
29폐외결핵55~59세203198223191301274314358461562653652644586554573583489430393337289
30폐외결핵60~64세226260217235303278277303400507593546489500482453502459426413413348
31폐외결핵65~69세242248234209329344337398467526579551456431446461416392361366341339
32폐외결핵70~74세149182182189299313307420492622717649603569581491455418379370347355
33폐외결핵75~79세123150149149220267248335401506622591530539607605580565546465433411
34폐외결핵80세 이상1161401271412442583083394276106796856757658338989129679981008886897
35폐외결핵연령미상0000000000090000000000
36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

결핵종류연령대2001년2002년2003년2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2