Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells8
Missing cells (%)3.9%
Total size in memory1.7 KiB
Average record size in memory51.8 B

Variable types

Text1
Numeric5

Alerts

จำนวน MiniApps has 8 (23.5%) missing valuesMissing
Date has unique valuesUnique
User สะสม has unique valuesUnique
Total Transaction has unique valuesUnique

Reproduction

Analysis started2026-08-19 00:33:04.067697
Analysis finished2026-08-19 00:33:04.210526
Duration0.14 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Date
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size400.0 B
2026-08-19T07:33:04.733151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters646
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row2022-03-31T00:00:00
2nd row2022-06-06T00:00:00
3rd row2022-07-25T00:00:00
4th row2022-08-25T00:00:00
5th row2022-09-20T00:00:00
ValueCountFrequency (%)
2022-03-31t00:00:00 1
 
2.9%
2023-02-08t00:00:00 1
 
2.9%
2023-08-25t00:00:00 1
 
2.9%
2023-07-25t00:00:00 1
 
2.9%
2023-06-27t00:00:00 1
 
2.9%
2023-05-25t00:00:00 1
 
2.9%
2023-04-20t00:00:00 1
 
2.9%
2023-03-24t00:00:00 1
 
2.9%
2023-01-30t00:00:00 1
 
2.9%
2024-06-25t00:00:00 1
 
2.9%
Other values (24) 24
70.6%
2026-08-19T07:33:05.810136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 273
42.3%
2 111
17.2%
- 68
 
10.5%
: 68
 
10.5%
T 34
 
5.3%
5 27
 
4.2%
3 18
 
2.8%
1 16
 
2.5%
4 15
 
2.3%
7 5
 
0.8%
Other values (3) 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 476
73.7%
Dash Punctuation 68
 
10.5%
Other Punctuation 68
 
10.5%
Uppercase Letter 34
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 273
57.4%
2 111
23.3%
5 27
 
5.7%
3 18
 
3.8%
1 16
 
3.4%
4 15
 
3.2%
7 5
 
1.1%
6 4
 
0.8%
8 4
 
0.8%
9 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Punctuation
ValueCountFrequency (%)
: 68
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
94.7%
Latin 34
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 273
44.6%
2 111
18.1%
- 68
 
11.1%
: 68
 
11.1%
5 27
 
4.4%
3 18
 
2.9%
1 16
 
2.6%
4 15
 
2.5%
7 5
 
0.8%
6 4
 
0.7%
Other values (2) 7
 
1.1%
Latin
ValueCountFrequency (%)
T 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 273
42.3%
2 111
17.2%
- 68
 
10.5%
: 68
 
10.5%
T 34
 
5.3%
5 27
 
4.2%
3 18
 
2.8%
1 16
 
2.5%
4 15
 
2.3%
7 5
 
0.8%
Other values (3) 11
 
1.7%

จำนวน MiniApps
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)80.8%
Missing8
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean61.19230769
Minimum27
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size400.0 B
2026-08-19T07:33:06.203999image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34.75
Q150
median59.5
Q376.25
95-th percentile86
Maximum87
Range60
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation17.26040377
Coefficient of variation (CV)0.2820681949
Kurtosis-0.9491871498
Mean61.19230769
Median Absolute Deviation (MAD)14.5
Skewness-0.1347645176
Sum1591
Variance297.9215385
MonotonicityIncreasing
2026-08-19T07:33:06.538415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
40 2
 
5.9%
86 2
 
5.9%
50 2
 
5.9%
79 2
 
5.9%
74 2
 
5.9%
64 1
 
2.9%
87 1
 
2.9%
82 1
 
2.9%
77 1
 
2.9%
70 1
 
2.9%
Other values (11) 11
32.4%
(Missing) 8
23.5%
ValueCountFrequency (%)
27 1
2.9%
33 1
2.9%
40 2
5.9%
44 1
2.9%
49 1
2.9%
ValueCountFrequency (%)
87 1
2.9%
86 2
5.9%
82 1
2.9%
79 2
5.9%
77 1
2.9%

จำนวนบริการ
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.8235294
Minimum45
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size400.0 B
2026-08-19T07:33:06.897747image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile59.5
Q183.25
median131
Q3150.75
95-th percentile173
Maximum175
Range130
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation39.62129102
Coefficient of variation (CV)0.3334465086
Kurtosis-1.300297377
Mean118.8235294
Median Absolute Deviation (MAD)36.5
Skewness-0.2110671359
Sum4040
Variance1569.846702
MonotonicityIncreasing
2026-08-19T07:33:07.278029image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
173 2
 
5.9%
81 2
 
5.9%
150 2
 
5.9%
143 2
 
5.9%
134 2
 
5.9%
45 1
 
2.9%
128 1
 
2.9%
172 1
 
2.9%
170 1
 
2.9%
155 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
45 1
2.9%
53 1
2.9%
63 1
2.9%
65 1
2.9%
69 1
2.9%
ValueCountFrequency (%)
175 1
2.9%
173 2
5.9%
172 1
2.9%
170 1
2.9%
155 1
2.9%

User สะสม
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6628727.559
Minimum85333
Maximum32804289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size400.0 B
2026-08-19T07:33:07.647433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum85333
5-th percentile113093.75
Q1175540.75
median323238
Q3770274.75
95-th percentile32011455.1
Maximum32804289
Range32718956
Interquartile range (IQR)594734

Descriptive statistics

Standard deviation12433574.46
Coefficient of variation (CV)1.875710588
Kurtosis0.5179839201
Mean6628727.559
Median Absolute Deviation (MAD)171851
Skewness1.554056245
Sum225376737
Variance1.54593774 × 1014
MonotonicityStrictly increasing
2026-08-19T07:33:08.022510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
85333 1
 
2.9%
843006 1
 
2.9%
388229 1
 
2.9%
413079 1
 
2.9%
438565 1
 
2.9%
470896 1
 
2.9%
536261 1
 
2.9%
552081 1
 
2.9%
4656464 1
 
2.9%
102697 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
85333 1
2.9%
102697 1
2.9%
118692 1
2.9%
129465 1
2.9%
139386 1
2.9%
ValueCountFrequency (%)
32804289 1
2.9%
32332312 1
2.9%
31838686 1
2.9%
31717023 1
2.9%
31525574 1
2.9%

DownloadsApps สะสม
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8644570.647
Minimum185273
Maximum40745415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size400.0 B
2026-08-19T07:33:08.400149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum185273
5-th percentile258911.5
Q1399599.75
median688569.5
Q33326762.25
95-th percentile39355588.7
Maximum40745415
Range40560142
Interquartile range (IQR)2927162.5

Descriptive statistics

Standard deviation15266240.79
Coefficient of variation (CV)1.76599179
Kurtosis0.3623804652
Mean8644570.647
Median Absolute Deviation (MAD)344558.5
Skewness1.504796293
Sum293915402
Variance2.330581079 × 1014
MonotonicityIncreasing
2026-08-19T07:33:08.797036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
437453 2
 
5.9%
185273 1
 
2.9%
3699297 1
 
2.9%
842392 1
 
2.9%
879421 1
 
2.9%
948769 1
 
2.9%
1233116 1
 
2.9%
2209158 1
 
2.9%
9445342 1
 
2.9%
755715 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
185273 1
2.9%
239444 1
2.9%
269394 1
2.9%
295287 1
2.9%
316252 1
2.9%
ValueCountFrequency (%)
40745415 1
2.9%
39887966 1
2.9%
39068924 1
2.9%
38746417 1
2.9%
37237608 1
2.9%

Total Transaction
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106299062.1
Minimum1349697
Maximum651102424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size400.0 B
2026-08-19T07:33:09.180965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1349697
5-th percentile2071211.9
Q13869086.25
median8815629.5
Q323996443.5
95-th percentile557838773.5
Maximum651102424
Range649752727
Interquartile range (IQR)20127357.25

Descriptive statistics

Standard deviation202729252.6
Coefficient of variation (CV)1.907159372
Kurtosis1.661529802
Mean106299062.1
Median Absolute Deviation (MAD)5717098
Skewness1.798745822
Sum3614168113
Variance4.109914987 × 1016
MonotonicityStrictly increasing
2026-08-19T07:33:09.552129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1349697 1
 
2.9%
25678393 1
 
2.9%
10696065 1
 
2.9%
11819359 1
 
2.9%
12625518 1
 
2.9%
14161568 1
 
2.9%
15296460 1
 
2.9%
18950595 1
 
2.9%
49800071 1
 
2.9%
1832515 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1349697 1
2.9%
1832515 1
2.9%
2199741 1
2.9%
2394966 1
2.9%
2663274 1
2.9%
ValueCountFrequency (%)
651102424 1
2.9%
590488683 1
2.9%
540258053 1
2.9%
511723603 1
2.9%
471158389 1
2.9%