Overview

Dataset statistics

Number of variables20
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory182.3 B

Variable types

Numeric16
Categorical4

Dataset

Description년월,기관/유형,한국어,영어,일본어,중국어,베트남어,타갈로그어,몽골어,프랑스어,러시아어,우즈벡어,태국어,네팔어,인도네시아어,파키스탄어(우르두어),아랍어,스페인어,기타언어,합계
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15738/S/1/datasetView.do

Alerts

파키스탄어(우르두어) has constant value ""Constant
년월 is highly overall correlated with 기관/유형 and 12 other fieldsHigh correlation
기관/유형 is highly overall correlated with 년월 and 12 other fieldsHigh correlation
한국어 is highly overall correlated with 년월 and 11 other fieldsHigh correlation
영어 is highly overall correlated with 년월 and 13 other fieldsHigh correlation
일본어 is highly overall correlated with 년월 and 13 other fieldsHigh correlation
중국어 is highly overall correlated with 년월 and 11 other fieldsHigh correlation
베트남어 is highly overall correlated with 년월 and 12 other fieldsHigh correlation
타갈로그어 is highly overall correlated with 년월 and 10 other fieldsHigh correlation
몽골어 is highly overall correlated with 년월 and 13 other fieldsHigh correlation
러시아어 is highly overall correlated with 년월 and 12 other fieldsHigh correlation
우즈벡어 is highly overall correlated with 영어 and 5 other fieldsHigh correlation
태국어 is highly overall correlated with 년월 and 13 other fieldsHigh correlation
인도네시아어 is highly overall correlated with 년월 and 12 other fieldsHigh correlation
아랍어 is highly overall correlated with 년월 and 11 other fieldsHigh correlation
합계 is highly overall correlated with 년월 and 13 other fieldsHigh correlation
프랑스어 is highly overall correlated with 베트남어High correlation
네팔어 is highly overall correlated with 몽골어 and 1 other fieldsHigh correlation
기타언어 is highly overall correlated with 네팔어High correlation
프랑스어 is highly imbalanced (87.4%)Imbalance
네팔어 is highly imbalanced (78.4%)Imbalance
기타언어 is highly imbalanced (73.6%)Imbalance
년월 has unique valuesUnique
기관/유형 has unique valuesUnique
합계 has unique valuesUnique
베트남어 has 10 (17.2%) zerosZeros
몽골어 has 13 (22.4%) zerosZeros
러시아어 has 1 (1.7%) zerosZeros
우즈벡어 has 11 (19.0%) zerosZeros
태국어 has 13 (22.4%) zerosZeros
인도네시아어 has 18 (31.0%) zerosZeros
아랍어 has 19 (32.8%) zerosZeros
스페인어 has 6 (10.3%) zerosZeros

Reproduction

Analysis started2024-05-18 05:52:58.754230
Analysis finished2024-05-18 05:54:24.284242
Duration1 minute and 25.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202147.91
Minimum201907
Maximum202404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:24.554299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201907
5-th percentile201909.85
Q1202009.25
median202111.5
Q3202301.75
95-th percentile202401.15
Maximum202404
Range497
Interquartile range (IQR)292.5

Descriptive statistics

Standard deviation145.36322
Coefficient of variation (CV)0.00071909335
Kurtosis-1.0339855
Mean202147.91
Median Absolute Deviation (MAD)104
Skewness0.0010912413
Sum11724579
Variance21130.466
MonotonicityStrictly decreasing
2024-05-18T14:54:25.050968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202404 1
 
1.7%
202008 1
 
1.7%
202108 1
 
1.7%
202107 1
 
1.7%
202106 1
 
1.7%
202105 1
 
1.7%
202104 1
 
1.7%
202103 1
 
1.7%
202102 1
 
1.7%
202101 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
201907 1
1.7%
201908 1
1.7%
201909 1
1.7%
201910 1
1.7%
201911 1
1.7%
201912 1
1.7%
202001 1
1.7%
202002 1
1.7%
202003 1
1.7%
202004 1
1.7%
ValueCountFrequency (%)
202404 1
1.7%
202403 1
1.7%
202402 1
1.7%
202401 1
1.7%
202312 1
1.7%
202311 1
1.7%
202310 1
1.7%
202309 1
1.7%
202308 1
1.7%
202307 1
1.7%

기관/유형
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202147.91
Minimum201907
Maximum202404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:25.490140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201907
5-th percentile201909.85
Q1202009.25
median202111.5
Q3202301.75
95-th percentile202401.15
Maximum202404
Range497
Interquartile range (IQR)292.5

Descriptive statistics

Standard deviation145.36322
Coefficient of variation (CV)0.00071909335
Kurtosis-1.0339855
Mean202147.91
Median Absolute Deviation (MAD)104
Skewness0.0010912413
Sum11724579
Variance21130.466
MonotonicityStrictly decreasing
2024-05-18T14:54:25.956766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202404 1
 
1.7%
202008 1
 
1.7%
202108 1
 
1.7%
202107 1
 
1.7%
202106 1
 
1.7%
202105 1
 
1.7%
202104 1
 
1.7%
202103 1
 
1.7%
202102 1
 
1.7%
202101 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
201907 1
1.7%
201908 1
1.7%
201909 1
1.7%
201910 1
1.7%
201911 1
1.7%
201912 1
1.7%
202001 1
1.7%
202002 1
1.7%
202003 1
1.7%
202004 1
1.7%
ValueCountFrequency (%)
202404 1
1.7%
202403 1
1.7%
202402 1
1.7%
202401 1
1.7%
202312 1
1.7%
202311 1
1.7%
202310 1
1.7%
202309 1
1.7%
202308 1
1.7%
202307 1
1.7%

한국어
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.241379
Minimum22
Maximum547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:26.395766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile28
Q141.25
median62
Q379
95-th percentile135.35
Maximum547
Range525
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation74.159693
Coefficient of variation (CV)0.98562378
Kurtosis29.56744
Mean75.241379
Median Absolute Deviation (MAD)18.5
Skewness4.9612768
Sum4364
Variance5499.66
MonotonicityNot monotonic
2024-05-18T14:54:26.838110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
79 3
 
5.2%
40 2
 
3.4%
62 2
 
3.4%
63 2
 
3.4%
64 2
 
3.4%
58 2
 
3.4%
72 2
 
3.4%
34 2
 
3.4%
28 2
 
3.4%
60 2
 
3.4%
Other values (36) 37
63.8%
ValueCountFrequency (%)
22 1
1.7%
23 1
1.7%
28 2
3.4%
31 2
3.4%
32 1
1.7%
33 1
1.7%
34 2
3.4%
35 1
1.7%
37 1
1.7%
40 2
3.4%
ValueCountFrequency (%)
547 1
1.7%
246 1
1.7%
211 1
1.7%
122 1
1.7%
114 1
1.7%
112 1
1.7%
109 1
1.7%
102 1
1.7%
98 1
1.7%
91 1
1.7%

영어
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.51724
Minimum50
Maximum978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:27.255713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile79.7
Q1172.25
median333.5
Q3414
95-th percentile675.35
Maximum978
Range928
Interquartile range (IQR)241.75

Descriptive statistics

Standard deviation182.2061
Coefficient of variation (CV)0.55127561
Kurtosis1.8875075
Mean330.51724
Median Absolute Deviation (MAD)83.5
Skewness0.83004443
Sum19170
Variance33199.061
MonotonicityNot monotonic
2024-05-18T14:54:27.817660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340 2
 
3.4%
414 2
 
3.4%
137 1
 
1.7%
329 1
 
1.7%
290 1
 
1.7%
978 1
 
1.7%
668 1
 
1.7%
307 1
 
1.7%
312 1
 
1.7%
419 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
50 1
1.7%
51 1
1.7%
61 1
1.7%
83 1
1.7%
85 1
1.7%
92 1
1.7%
107 1
1.7%
114 1
1.7%
115 1
1.7%
123 1
1.7%
ValueCountFrequency (%)
978 1
1.7%
726 1
1.7%
717 1
1.7%
668 1
1.7%
542 1
1.7%
541 1
1.7%
475 1
1.7%
467 1
1.7%
460 1
1.7%
432 1
1.7%

일본어
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.258621
Minimum10
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:28.326803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18.7
Q150.5
median76
Q391
95-th percentile112.45
Maximum190
Range180
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation33.18611
Coefficient of variation (CV)0.46571362
Kurtosis1.6071236
Mean71.258621
Median Absolute Deviation (MAD)17.5
Skewness0.33665039
Sum4133
Variance1101.3179
MonotonicityNot monotonic
2024-05-18T14:54:28.852705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
22 2
 
3.4%
79 2
 
3.4%
97 2
 
3.4%
66 2
 
3.4%
101 2
 
3.4%
99 2
 
3.4%
83 2
 
3.4%
60 2
 
3.4%
89 2
 
3.4%
74 2
 
3.4%
Other values (37) 38
65.5%
ValueCountFrequency (%)
10 1
1.7%
15 1
1.7%
17 1
1.7%
19 1
1.7%
20 1
1.7%
21 1
1.7%
22 2
3.4%
24 1
1.7%
31 1
1.7%
34 1
1.7%
ValueCountFrequency (%)
190 1
1.7%
117 1
1.7%
115 1
1.7%
112 1
1.7%
110 1
1.7%
109 1
1.7%
101 2
3.4%
99 2
3.4%
97 2
3.4%
95 1
1.7%

중국어
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.37931
Minimum47
Maximum594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:29.647573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile67.7
Q1138
median201.5
Q3238.5
95-th percentile481.95
Maximum594
Range547
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation109.79963
Coefficient of variation (CV)0.53202828
Kurtosis3.6134872
Mean206.37931
Median Absolute Deviation (MAD)42
Skewness1.5933597
Sum11970
Variance12055.959
MonotonicityNot monotonic
2024-05-18T14:54:30.138577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209 2
 
3.4%
170 2
 
3.4%
250 2
 
3.4%
203 2
 
3.4%
122 2
 
3.4%
279 2
 
3.4%
176 1
 
1.7%
510 1
 
1.7%
278 1
 
1.7%
226 1
 
1.7%
Other values (42) 42
72.4%
ValueCountFrequency (%)
47 1
1.7%
58 1
1.7%
66 1
1.7%
68 1
1.7%
75 1
1.7%
80 1
1.7%
81 1
1.7%
84 1
1.7%
86 1
1.7%
119 1
1.7%
ValueCountFrequency (%)
594 1
1.7%
525 1
1.7%
510 1
1.7%
477 1
1.7%
330 1
1.7%
279 2
3.4%
278 1
1.7%
275 1
1.7%
270 1
1.7%
266 1
1.7%

베트남어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.65517
Minimum0
Maximum377
Zeros10
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:30.569240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1170.5
median220.5
Q3258
95-th percentile341
Maximum377
Range377
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation109.7884
Coefficient of variation (CV)0.56692729
Kurtosis-0.45582336
Mean193.65517
Median Absolute Deviation (MAD)43.5
Skewness-0.76166608
Sum11232
Variance12053.493
MonotonicityNot monotonic
2024-05-18T14:54:31.033863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 10
 
17.2%
258 2
 
3.4%
209 2
 
3.4%
341 2
 
3.4%
218 2
 
3.4%
204 2
 
3.4%
224 1
 
1.7%
183 1
 
1.7%
232 1
 
1.7%
140 1
 
1.7%
Other values (34) 34
58.6%
ValueCountFrequency (%)
0 10
17.2%
12 1
 
1.7%
16 1
 
1.7%
132 1
 
1.7%
140 1
 
1.7%
169 1
 
1.7%
175 1
 
1.7%
183 1
 
1.7%
185 1
 
1.7%
196 1
 
1.7%
ValueCountFrequency (%)
377 1
1.7%
353 1
1.7%
341 2
3.4%
332 1
1.7%
326 1
1.7%
296 1
1.7%
290 1
1.7%
289 1
1.7%
288 1
1.7%
287 1
1.7%

타갈로그어
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.7069
Minimum108
Maximum463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:31.786454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile135.25
Q1194.5
median232
Q3324.5
95-th percentile373.7
Maximum463
Range355
Interquartile range (IQR)130

Descriptive statistics

Standard deviation80.991879
Coefficient of variation (CV)0.32049731
Kurtosis-0.52179107
Mean252.7069
Median Absolute Deviation (MAD)45.5
Skewness0.47575645
Sum14657
Variance6559.6845
MonotonicityNot monotonic
2024-05-18T14:54:32.410609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194 2
 
3.4%
314 2
 
3.4%
358 1
 
1.7%
276 1
 
1.7%
308 1
 
1.7%
328 1
 
1.7%
245 1
 
1.7%
229 1
 
1.7%
412 1
 
1.7%
343 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
108 1
1.7%
130 1
1.7%
131 1
1.7%
136 1
1.7%
148 1
1.7%
153 1
1.7%
159 1
1.7%
173 1
1.7%
178 1
1.7%
185 1
1.7%
ValueCountFrequency (%)
463 1
1.7%
412 1
1.7%
389 1
1.7%
371 1
1.7%
368 1
1.7%
364 1
1.7%
362 1
1.7%
358 1
1.7%
357 1
1.7%
349 1
1.7%

몽골어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.91379
Minimum0
Maximum580
Zeros13
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:32.917060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1108.75
median159.5
Q3219
95-th percentile505.15
Maximum580
Range580
Interquartile range (IQR)110.25

Descriptive statistics

Standard deviation142.15624
Coefficient of variation (CV)0.82212203
Kurtosis1.4418412
Mean172.91379
Median Absolute Deviation (MAD)53
Skewness1.0712521
Sum10029
Variance20208.396
MonotonicityNot monotonic
2024-05-18T14:54:33.340631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 13
 
22.4%
130 2
 
3.4%
177 2
 
3.4%
499 1
 
1.7%
259 1
 
1.7%
147 1
 
1.7%
224 1
 
1.7%
170 1
 
1.7%
300 1
 
1.7%
421 1
 
1.7%
Other values (34) 34
58.6%
ValueCountFrequency (%)
0 13
22.4%
106 1
 
1.7%
107 1
 
1.7%
114 1
 
1.7%
118 1
 
1.7%
125 1
 
1.7%
127 1
 
1.7%
130 2
 
3.4%
136 1
 
1.7%
139 1
 
1.7%
ValueCountFrequency (%)
580 1
1.7%
560 1
1.7%
540 1
1.7%
499 1
1.7%
421 1
1.7%
321 1
1.7%
308 1
1.7%
304 1
1.7%
300 1
1.7%
271 1
1.7%

프랑스어
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
57 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
98.3%
1 1
 
1.7%

Length

2024-05-18T14:54:33.790342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:54:34.072729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
98.3%
1 1
 
1.7%

러시아어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct53
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.17241
Minimum0
Maximum654
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:34.612839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.55
Q1227.5
median329
Q3418.5
95-th percentile617.3
Maximum654
Range654
Interquartile range (IQR)191

Descriptive statistics

Standard deviation178.90438
Coefficient of variation (CV)0.54849635
Kurtosis-0.70555204
Mean326.17241
Median Absolute Deviation (MAD)99
Skewness-0.059584591
Sum18918
Variance32006.777
MonotonicityNot monotonic
2024-05-18T14:54:35.405993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
354 2
 
3.4%
58 2
 
3.4%
501 2
 
3.4%
270 2
 
3.4%
591 2
 
3.4%
83 1
 
1.7%
437 1
 
1.7%
328 1
 
1.7%
370 1
 
1.7%
405 1
 
1.7%
Other values (43) 43
74.1%
ValueCountFrequency (%)
0 1
1.7%
19 1
1.7%
40 1
1.7%
43 1
1.7%
51 1
1.7%
58 2
3.4%
62 1
1.7%
77 1
1.7%
83 1
1.7%
85 1
1.7%
ValueCountFrequency (%)
654 1
1.7%
625 1
1.7%
619 1
1.7%
617 1
1.7%
609 1
1.7%
591 2
3.4%
590 1
1.7%
578 1
1.7%
501 2
3.4%
469 1
1.7%

우즈벡어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.91379
Minimum0
Maximum476
Zeros11
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:36.057279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1146.75
median224
Q3275
95-th percentile388.3
Maximum476
Range476
Interquartile range (IQR)128.25

Descriptive statistics

Standard deviation124.24259
Coefficient of variation (CV)0.62148082
Kurtosis-0.49192638
Mean199.91379
Median Absolute Deviation (MAD)60.5
Skewness-0.30312202
Sum11595
Variance15436.221
MonotonicityNot monotonic
2024-05-18T14:54:36.677124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 11
 
19.0%
238 2
 
3.4%
203 2
 
3.4%
290 2
 
3.4%
219 2
 
3.4%
337 2
 
3.4%
173 2
 
3.4%
235 1
 
1.7%
239 1
 
1.7%
70 1
 
1.7%
Other values (32) 32
55.2%
ValueCountFrequency (%)
0 11
19.0%
9 1
 
1.7%
70 1
 
1.7%
133 1
 
1.7%
142 1
 
1.7%
161 1
 
1.7%
166 1
 
1.7%
173 2
 
3.4%
177 1
 
1.7%
191 1
 
1.7%
ValueCountFrequency (%)
476 1
1.7%
423 1
1.7%
390 1
1.7%
388 1
1.7%
382 1
1.7%
337 2
3.4%
315 1
1.7%
313 1
1.7%
300 1
1.7%
290 2
3.4%

태국어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.46552
Minimum0
Maximum914
Zeros13
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:37.119268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162
median184.5
Q3265.25
95-th percentile369.7
Maximum914
Range914
Interquartile range (IQR)203.25

Descriptive statistics

Standard deviation154.06779
Coefficient of variation (CV)0.85848131
Kurtosis7.7018381
Mean179.46552
Median Absolute Deviation (MAD)88.5
Skewness1.7925751
Sum10409
Variance23736.885
MonotonicityNot monotonic
2024-05-18T14:54:37.968333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 13
 
22.4%
170 2
 
3.4%
189 2
 
3.4%
270 1
 
1.7%
251 1
 
1.7%
293 1
 
1.7%
218 1
 
1.7%
239 1
 
1.7%
248 1
 
1.7%
385 1
 
1.7%
Other values (34) 34
58.6%
ValueCountFrequency (%)
0 13
22.4%
19 1
 
1.7%
58 1
 
1.7%
74 1
 
1.7%
100 1
 
1.7%
106 1
 
1.7%
107 1
 
1.7%
110 1
 
1.7%
139 1
 
1.7%
141 1
 
1.7%
ValueCountFrequency (%)
914 1
1.7%
409 1
1.7%
385 1
1.7%
367 1
1.7%
330 1
1.7%
325 1
1.7%
320 1
1.7%
303 1
1.7%
301 1
1.7%
296 1
1.7%

네팔어
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
56 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 56
96.6%
1 2
 
3.4%

Length

2024-05-18T14:54:38.565851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:54:38.983955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
96.6%
1 2
 
3.4%

인도네시아어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.586207
Minimum0
Maximum59
Zeros18
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:39.534659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q328
95-th percentile43.3
Maximum59
Range59
Interquartile range (IQR)28

Descriptive statistics

Standard deviation14.917357
Coefficient of variation (CV)0.84824184
Kurtosis-0.41573091
Mean17.586207
Median Absolute Deviation (MAD)13
Skewness0.39703632
Sum1020
Variance222.52753
MonotonicityNot monotonic
2024-05-18T14:54:39.980096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 18
31.0%
18 5
 
8.6%
28 3
 
5.2%
22 2
 
3.4%
23 2
 
3.4%
17 2
 
3.4%
27 2
 
3.4%
12 2
 
3.4%
45 2
 
3.4%
31 2
 
3.4%
Other values (17) 18
31.0%
ValueCountFrequency (%)
0 18
31.0%
5 1
 
1.7%
10 1
 
1.7%
12 2
 
3.4%
15 1
 
1.7%
16 1
 
1.7%
17 2
 
3.4%
18 5
 
8.6%
19 1
 
1.7%
20 1
 
1.7%
ValueCountFrequency (%)
59 1
1.7%
45 2
3.4%
43 1
1.7%
40 1
1.7%
37 1
1.7%
35 1
1.7%
33 1
1.7%
32 1
1.7%
31 2
3.4%
29 2
3.4%

파키스탄어(우르두어)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
58 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 58
100.0%

Length

2024-05-18T14:54:40.403722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:54:40.776227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
100.0%

아랍어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.982759
Minimum0
Maximum90
Zeros19
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:41.167342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.5
Q329.75
95-th percentile51.75
Maximum90
Range90
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation20.23068
Coefficient of variation (CV)1.0657397
Kurtosis1.6044249
Mean18.982759
Median Absolute Deviation (MAD)16.5
Skewness1.2304501
Sum1101
Variance409.2804
MonotonicityNot monotonic
2024-05-18T14:54:41.656350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 19
32.8%
22 3
 
5.2%
51 3
 
5.2%
6 2
 
3.4%
31 2
 
3.4%
21 2
 
3.4%
19 2
 
3.4%
12 2
 
3.4%
11 2
 
3.4%
33 1
 
1.7%
Other values (20) 20
34.5%
ValueCountFrequency (%)
0 19
32.8%
4 1
 
1.7%
6 2
 
3.4%
7 1
 
1.7%
8 1
 
1.7%
11 2
 
3.4%
12 2
 
3.4%
16 1
 
1.7%
17 1
 
1.7%
18 1
 
1.7%
ValueCountFrequency (%)
90 1
 
1.7%
69 1
 
1.7%
56 1
 
1.7%
51 3
5.2%
47 1
 
1.7%
45 1
 
1.7%
43 1
 
1.7%
36 1
 
1.7%
33 1
 
1.7%
32 1
 
1.7%

스페인어
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.896552
Minimum0
Maximum35
Zeros6
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:42.020040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median20
Q325.75
95-th percentile31.15
Maximum35
Range35
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation9.3089085
Coefficient of variation (CV)0.49262472
Kurtosis-0.22226949
Mean18.896552
Median Absolute Deviation (MAD)5.5
Skewness-0.68150076
Sum1096
Variance86.655777
MonotonicityNot monotonic
2024-05-18T14:54:42.502069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 6
 
10.3%
20 5
 
8.6%
21 4
 
6.9%
15 3
 
5.2%
22 3
 
5.2%
18 3
 
5.2%
19 3
 
5.2%
28 3
 
5.2%
25 3
 
5.2%
26 3
 
5.2%
Other values (17) 22
37.9%
ValueCountFrequency (%)
0 6
10.3%
4 1
 
1.7%
5 1
 
1.7%
7 1
 
1.7%
9 1
 
1.7%
11 2
 
3.4%
13 1
 
1.7%
14 1
 
1.7%
15 3
5.2%
16 1
 
1.7%
ValueCountFrequency (%)
35 1
 
1.7%
33 1
 
1.7%
32 1
 
1.7%
31 1
 
1.7%
30 2
3.4%
29 1
 
1.7%
28 3
5.2%
27 2
3.4%
26 3
5.2%
25 3
5.2%

기타언어
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
54 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 54
93.1%
1 3
 
5.2%
2 1
 
1.7%

Length

2024-05-18T14:54:42.960410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:54:43.354021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
93.1%
1 3
 
5.2%
2 1
 
1.7%

합계
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2063.8276
Minimum363
Maximum4450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-18T14:54:43.906954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum363
5-th percentile442.55
Q11386.25
median2170.5
Q32701.75
95-th percentile3451.5
Maximum4450
Range4087
Interquartile range (IQR)1315.5

Descriptive statistics

Standard deviation1008.7278
Coefficient of variation (CV)0.48876554
Kurtosis-0.31915138
Mean2063.8276
Median Absolute Deviation (MAD)584.5
Skewness-0.10478686
Sum119702
Variance1017531.8
MonotonicityNot monotonic
2024-05-18T14:54:44.662326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
664 1
 
1.7%
2916 1
 
1.7%
4353 1
 
1.7%
3298 1
 
1.7%
2228 1
 
1.7%
2111 1
 
1.7%
2703 1
 
1.7%
2635 1
 
1.7%
1941 1
 
1.7%
2698 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
363 1
1.7%
387 1
1.7%
406 1
1.7%
449 1
1.7%
486 1
1.7%
518 1
1.7%
519 1
1.7%
545 1
1.7%
580 1
1.7%
586 1
1.7%
ValueCountFrequency (%)
4450 1
1.7%
4353 1
1.7%
3630 1
1.7%
3420 1
1.7%
3393 1
1.7%
3298 1
1.7%
2916 1
1.7%
2915 1
1.7%
2913 1
1.7%
2847 1
1.7%

Interactions

2024-05-18T14:54:18.496733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:08.752433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:13.094873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:16.945615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:21.001576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:26.070307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:31.529513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:36.572607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:41.685109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:45.944042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:50.621302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:55.351295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:59.829463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:04.694105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:09.143021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:14.172267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:19.058381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:09.149521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:13.333611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:17.197036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:21.226746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:26.434143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:31.782761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:36.914423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:42.012290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:46.177332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:50.894978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:55.591656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:00.246045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:04.946725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:09.420828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:14.555806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:19.323443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:09.426590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:13.577825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:17.450365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:21.488479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:26.761035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:32.122351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:37.235287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:42.345398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:46.442253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:51.173289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:55.810816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:00.588537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:05.189829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:09.853838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:14.876970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:19.577045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:10.030026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:13.880342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:17.738949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:21.745250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:27.145910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:32.446828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:37.552155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:42.609257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:46.686286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:51.491138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:56.049551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:01.018001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:05.461614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:10.201607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:15.125939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:19.822256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:10.285492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:14.128753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:17.988629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:22.004681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:27.380382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:32.775026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:37.904323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:42.903915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:46.923188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:51.847551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:56.360518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:01.365928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:05.717370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:10.535732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:15.369574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:20.091191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:10.530722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:14.381277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:18.250726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:22.314966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:27.743062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:33.144530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:38.280918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:43.163128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:47.220963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:52.113086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:56.628737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:01.867870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:05.969510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:10.778956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:15.631079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:20.350703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:10.741685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:14.608492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:18.467189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:22.645541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:28.278121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:33.487116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:38.647347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:43.407989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:47.478830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:52.370578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:56.876525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:02.145796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:06.220226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:11.131132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:15.929744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:20.621540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:10.996985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:14.814176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:18.702215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:23.056298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:28.620500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:33.841550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:38.964535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:43.699987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:47.744702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:52.646765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:57.220857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:02.389666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:06.549992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:11.423240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:16.218663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:20.923708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:11.253535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:15.086652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:18.942170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:23.429197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:28.891397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:34.114368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:39.298595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:44.204214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:48.013527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:52.978920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:57.609613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:02.679212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:06.856189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:11.704489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:16.479728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:21.181690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:11.504899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:15.341733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:19.193982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:23.821339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:29.262915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:34.369109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:39.613111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:44.424534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:48.434585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:53.243959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:57.844531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:02.927833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:07.096876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:12.182741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:16.751812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:21.436194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:11.760808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:15.603520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:19.439491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:24.299136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:29.606966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:34.682327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:39.941311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:44.651344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:48.730506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:53.506239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:58.079673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:03.169594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:07.330071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:12.481951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:17.004524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:21.683164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:11.999722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:15.823150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:19.674856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:24.525776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:29.932091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:35.018873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:40.282974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:44.829745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:49.037511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:53.817066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:58.355480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:03.419024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:07.640987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:12.751525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:17.248432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:21.939841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:12.200803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:16.051177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:19.930049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:24.732217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:30.239698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:35.445406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:40.571842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:44.999684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:49.284806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:54.215132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:58.671470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:03.633814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:07.980925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:13.060348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:17.495194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:22.182930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:12.387410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:16.308143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:20.179780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:24.963817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:30.592422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:35.759935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:40.842293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:45.205147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:49.546168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:54.508510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:58.921339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:03.939684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:08.226629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:13.317461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:17.804968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:22.435879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:12.576951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:16.511283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:20.410787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:25.168001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:30.932169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:35.983656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:41.076741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:45.412174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:49.914475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:54.754485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:59.227531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:04.202021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:08.445699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:13.583461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:18.032441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:22.726279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:12.831314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:16.701702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:20.738052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:25.742474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:31.208731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:36.247556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:41.378330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:45.657537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:50.351733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:55.086320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:53:59.557662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:04.431465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:08.819885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:13.853115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:54:18.261232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T14:54:45.071469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월기관/유형한국어영어일본어중국어베트남어타갈로그어몽골어프랑스어러시아어우즈벡어태국어네팔어인도네시아어아랍어스페인어기타언어합계
년월1.0001.0000.5510.7050.7180.7310.6500.6310.6750.0000.8890.7870.6920.0000.6990.6370.5700.3480.769
기관/유형1.0001.0000.5510.7050.7180.7310.6500.6310.6750.0000.8890.7870.6920.0000.6990.6370.5700.3480.769
한국어0.5510.5511.0000.5270.6930.6620.4380.8630.2570.0000.1760.6170.4030.1760.4810.4450.4710.0000.602
영어0.7050.7050.5271.0000.7410.9060.6270.2590.8460.0000.5580.7720.8490.0000.8450.6720.0000.0000.918
일본어0.7180.7180.6930.7411.0000.7730.6940.3130.6920.0000.6750.7280.6170.0000.5730.4720.4490.0000.819
중국어0.7310.7310.6620.9060.7731.0000.6440.0000.8190.0000.5860.6910.7920.4460.7980.8030.0000.0000.893
베트남어0.6500.6500.4380.6270.6940.6441.0000.4790.5750.8290.6040.7360.5750.0000.3930.5760.4310.0000.712
타갈로그어0.6310.6310.8630.2590.3130.0000.4791.0000.6060.0000.7080.0000.4820.3350.5880.6460.0000.0000.564
몽골어0.6750.6750.2570.8460.6920.8190.5750.6061.0000.0000.7980.7150.7850.7090.8200.7340.0000.3650.895
프랑스어0.0000.0000.0000.0000.0000.0000.8290.0000.0001.0000.0000.0000.0000.0000.1280.0000.0000.0000.000
러시아어0.8890.8890.1760.5580.6750.5860.6040.7080.7980.0001.0000.7420.5900.2910.6600.5600.3540.3280.769
우즈벡어0.7870.7870.6170.7720.7280.6910.7360.0000.7150.0000.7421.0000.8620.0000.7380.0000.6000.0000.798
태국어0.6920.6920.4030.8490.6170.7920.5750.4820.7850.0000.5900.8621.0000.5350.8540.5100.0000.4200.799
네팔어0.0000.0000.1760.0000.0000.4460.0000.3350.7090.0000.2910.0000.5351.0000.3450.4070.0000.4430.524
인도네시아어0.6990.6990.4810.8450.5730.7980.3930.5880.8200.1280.6600.7380.8540.3451.0000.6900.0000.5080.812
아랍어0.6370.6370.4450.6720.4720.8030.5760.6460.7340.0000.5600.0000.5100.4070.6901.0000.0000.0000.606
스페인어0.5700.5700.4710.0000.4490.0000.4310.0000.0000.0000.3540.6000.0000.0000.0000.0001.0000.0000.572
기타언어0.3480.3480.0000.0000.0000.0000.0000.0000.3650.0000.3280.0000.4200.4430.5080.0000.0001.0000.463
합계0.7690.7690.6020.9180.8190.8930.7120.5640.8950.0000.7690.7980.7990.5240.8120.6060.5720.4631.000
2024-05-18T14:54:45.781946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
네팔어기타언어프랑스어
네팔어1.0000.6820.000
기타언어0.6821.0000.000
프랑스어0.0000.0001.000
2024-05-18T14:54:46.188697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월기관/유형한국어영어일본어중국어베트남어타갈로그어몽골어러시아어우즈벡어태국어인도네시아어아랍어스페인어합계프랑스어네팔어기타언어
년월1.0001.000-0.818-0.706-0.768-0.631-0.599-0.743-0.763-0.888-0.383-0.770-0.855-0.821-0.321-0.8400.0000.0000.195
기관/유형1.0001.000-0.818-0.706-0.768-0.631-0.599-0.743-0.763-0.888-0.383-0.770-0.855-0.821-0.321-0.8400.0000.0000.195
한국어-0.818-0.8181.0000.7400.8070.6320.4390.6560.6590.7040.3070.6330.7360.6720.2850.7600.0000.2070.000
영어-0.706-0.7060.7401.0000.8280.7360.7040.6130.7620.7710.5680.7690.7580.6630.1680.8880.0000.0000.000
일본어-0.768-0.7680.8070.8281.0000.7500.6150.6460.7570.7910.5130.7340.7630.6870.1480.8520.0000.0000.000
중국어-0.631-0.6310.6320.7360.7501.0000.6750.4300.7990.6930.5140.7350.6920.4910.1890.7940.0000.4150.000
베트남어-0.599-0.5990.4390.7040.6150.6751.0000.4950.7070.6440.5970.7130.5810.5750.1940.7530.6120.0000.000
타갈로그어-0.743-0.7430.6560.6130.6460.4300.4951.0000.6170.7400.1850.6080.6690.5480.1420.7570.0000.2320.000
몽골어-0.763-0.7630.6590.7620.7570.7990.7070.6171.0000.8520.4770.9090.8420.6540.3650.9150.0000.6730.156
러시아어-0.888-0.8880.7040.7710.7910.6930.6440.7400.8521.0000.4710.8180.8530.7680.2380.9170.0000.2000.187
우즈벡어-0.383-0.3830.3070.5680.5130.5140.5970.1850.4770.4711.0000.5410.4410.4550.1820.5330.0000.0000.000
태국어-0.770-0.7700.6330.7690.7340.7350.7130.6080.9090.8180.5411.0000.8220.6860.3290.9060.0000.3710.182
인도네시아어-0.855-0.8550.7360.7580.7630.6920.5810.6690.8420.8530.4410.8221.0000.6990.3930.8720.1090.3190.241
아랍어-0.821-0.8210.6720.6630.6870.4910.5750.5480.6540.7680.4550.6860.6991.0000.3230.7140.0000.3880.000
스페인어-0.321-0.3210.2850.1680.1480.1890.1940.1420.3650.2380.1820.3290.3930.3231.0000.2520.0000.0000.000
합계-0.840-0.8400.7600.8880.8520.7940.7530.7570.9150.9170.5330.9060.8720.7140.2521.0000.0000.4920.219
프랑스어0.0000.0000.0000.0000.0000.0000.6120.0000.0000.0000.0000.0000.1090.0000.0000.0001.0000.0000.000
네팔어0.0000.0000.2070.0000.0000.4150.0000.2320.6730.2000.0000.3710.3190.3880.0000.4920.0001.0000.682
기타언어0.1950.1950.0000.0000.0000.0000.0000.0000.1560.1870.0000.1820.2410.0000.0000.2190.0000.6821.000

Missing values

2024-05-18T14:54:23.137309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T14:54:23.921835image/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

년월기관/유형한국어영어일본어중국어베트남어타갈로그어몽골어프랑스어러시아어우즈벡어태국어네팔어인도네시아어파키스탄어(우르두어)아랍어스페인어기타언어합계
0202404202404401372217612194008300000000664
120240320240322123351700185005100000000586
220240220240231140241210159004300000000518
3202401202401338319580108006200000000363
42023122023122385204701980058000000180449
52023112023113192227502020077000000200519
62023102023102850178601960085000000240486
72023092023093451156801530058000000270406
82023082023083561108401310040000000260387
92023072023075411531810240000000000240545
년월기관/유형한국어영어일본어중국어베트남어타갈로그어몽골어프랑스어러시아어우즈벡어태국어네팔어인도네시아어파키스탄어(우르두어)아랍어스페인어기타언어합계
4820200420200412243211247724336256005902394090330312003630
49202003202003603139127022237132106251422720290282102765
502020022020021024148227929636826305012033011450302622913
51202001202001913958517820434424704622512820430333002645
52201912201912762867320024918614502961771890280323101968
53201911201911723358920922938914204692361890270221112420
542019102019102113409918223846319905912192450220231502847
552019092019092464149121120236419206091611700350212902745
562019082019081144609723027127617703651912220270691802517
572019072019077954211019726235813906172501670310511502818