Latest posts of: tranthidung

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8281

Alternate cryptocurrencies / Announcements (Altcoins) / Re: Obyte: Totally new consensus algorithm + private untraceable payments

on: January 29, 2019, 01:50:43 AM

I don't know those guys, but will search their information and their roles, impacts in the crypto world later. Quote from: tarmo888 on January 28, 2019, 09:20:54 PM Other people who have similar understanding about bear market are Ivan Liljeqvist, Ari Paul, Anthony Pompliano and Andreas Antonopoulos. Exactly! Bearish market gives smart investors perfect opportunities to start their dream. It takes a long period (months or years) for their dream come true, but it is worthy due to massive rewards later. Quote Basically, most people who are not seeing bear market like this first time.

8282

Economy / Services / Re: [OPEN] BitBlender Signature Campaign | Up to 0.0003BTC/Post | Member - Legendary

on: January 29, 2019, 01:38:33 AM

Bitcointalk Profile Link: https://bitcointalk.org/index.php?action=profile;u=1292764 Current Amount of Posts (Including this one): 868 SegWit eligible BTC Address: bc1qkjrr4u80fpyk59nlrlmzyfxfe37smauherfvfr I am a self-made Full Member, and all of my 157 merits by now are self-earned during the start of merit system. I will change both signature and avatar when get acceptance to join BitBlender campaign. Today, I tried my luck here.

8283

Other / Meta / Re: Signature advertisers: suggestions?

on: January 28, 2019, 04:06:00 PM

Quote from: KingZee on January 28, 2019, 03:58:54 PM Sig campaigns have been harder and harder to get into. As more people get higher ranks, and the more people get higher merits, the managers themselves will add criteria to filter out the bad. It's the point I mentioned above, when a new generation of self-made higher rank users come (Senior Members and above), especially some of them has good trust points. At that time, when it really happens, the past generation of shitty higher rank users will be rejected from campaigns, definitely.

8284

Other / Beginners & Help / Re: Inspirational stories from self-made promoted users

on: January 28, 2019, 03:58:31 PM

Quote from: Kakmakr on January 28, 2019, 03:22:33 PM < ... > Thanks for your stories. Your total merits till now disclosed lots of things. One of them, you are not a shitty posters. Shitty posters will be unable to earn 1184 merits around one year after the start of merit system.

8285

Other / Meta / Re: Merit & new rank requirements

on: January 28, 2019, 03:33:56 PM

From Senior Member to Hero, 250 merits required, so I agreed that it is a real challenge. Nevertheless, it is reachable. Quote from: Captain Corporate on January 25, 2019, 02:00:39 PM Required merit is too too much. Quote because of the 500+ merit requirement I can't seem to get anywhere near that level. Its almost impossible to reach to 500+ merit. I think it should be lowered by a lot. Really? Your activity has still been 528, so you should be a Hero with old ranking system, without merit system, not too long (2 to 4 weeks ago). Quote I have been a "hero member" for a long time

8286

Other / Meta / Re: Signature advertisers: suggestions?

on: January 28, 2019, 03:29:44 PM

It is the fact, but there are other two facts: 1) Shitposters, and higher-ranked users who ranked up to high positions due to the old ranking system before merit system launched will hardly to be accepted by strict campaign's managers. Especially shitty higher rank users that could not earn even one merits, or could not satisfy the minimum required merits (I usually see strict campaigns require ten self-earn merits over last 120 days to join). Quote from: asche on January 28, 2019, 01:19:09 PM 1- Most sold account are bought to participate in signature campaigns 2- Most users buying high ranking account tend to be shitposting the hell out of it Yeap, and they tend to publish shitty posts. Quote 3- Most bought accounts don't earny any merit, or just a few Agreed with you. So, why not make demotions aim at higher rank users like the wave of demotion on Junior Member. The forum will turn into chaotic situation, when that massive higher rank users complained about this. Quote 5- It is still fairly easy to get 10 merit to be able to wear a signature, even without adding much value to the forum I don't think that the idea is realistic. If a new system, for example Spam Control System, implemented, it will lead to massively debate in the forum, and it might be abused. Quote Be able to flag or "tag" any account for shitposting. This could be done through the Trust system or by a separate function.

8287

Other / Beginners & Help / Re: cabalism13's Activity Tips on Ranking

on: January 27, 2019, 07:17:24 AM

Your tips are helpful and inspirational for newbies. Recently, I mentioned about your topic there. Quote from: tranthidung on January 27, 2019, 07:16:09 AM The topic is obviously not an inspirational story, but this one is an inspirational tips on ranking up. I think it's acceptable to leave it here for newbies. cabalism13's Activity Tips on Ranking (by cabalism13) Thanks for the helpful topic, cabalism13.

8288

Other / Beginners & Help / Re: Inspirational stories from self-made promoted users

on: January 27, 2019, 07:16:09 AM

The topic is obviously not an inspirational story, but this one is an inspirational tips on ranking up. I think it's acceptable to leave it here for newbies. cabalism13's Activity Tips on Ranking (by cabalism13)

8289

Other / Meta / Re: Tracking the difference of merit circulations with Default Trust Changes

on: January 27, 2019, 07:01:24 AM

You can get my converted dataset there: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) Quote from: Bitcoin Smith on January 27, 2019, 06:41:26 AM How you guys pulling all those data from forum? Is there any tools used here or its been done manually. I used data dumps from LoyceV, so you can also get datasets there: LoyceV's Merit data analysis (full data since Jan. 24, 2018; not just 120 days) Tool to run online SQL queries over Full Merit Data (by Piggy) is a helpful topic.

8290

Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

on: January 27, 2019, 06:23:22 AM

There you go, I made it today, Lauda Tracking the difference of merit circulations with Default Trust Changes Quote from: Lauda on January 18, 2019, 07:53:25 AM Could you make a weekly breakdown of the next 2-3 weeks (and compare them to average weekly data)

8291

Other / Meta / Re: Tracking the difference of merit circulations with Default Trust Changes

on: January 27, 2019, 03:37:40 AM

Quote from: S_Therapist on January 27, 2019, 03:27:42 AM What is the use of this statistics? Sorry if I have missed something. Objective: - To see how long significant changes of rules (Trust, Merit, Ranking, for example) will affect on the merit circulations in the forum. As you can see, the changes in ranking aims at Junior Members led to demotion, but its effects on merit circulation was not too long. Spikes appeared on the time series plot in September, but several days later, it blurred. Edited: I updated the OP with objectives, you can get them there: Quote from: tranthidung on January 27, 2019, 01:29:27 AM Objectives (1) To measure the percentage difference changes of median and mean of intraday merits between the before and after periods (the cut-off is 09/01/2019); (2) To observe the the difference changes over time; (3) To identify when the impacts of Default Trust Changes tails off.

8292

Other / Meta / Re: One year anniversary of merit system

on: January 27, 2019, 03:21:55 AM

Updated the OP with my newest topic: Quote from: tranthidung on January 27, 2019, 03:18:42 AM Welcome to my topic, namely Tracking the difference of merit circulations with Default Trust Changes In short: Quote from: tranthidung on January 27, 2019, 01:29:27 AM (1) There is no outliers within two weeks after Default Trust changes. Only one day (09/01/2019) comes closer the the outlier-identifying threshold. (2) Median and mean of the intraday merits twoo weeks after Default Trust Changes are higher than the figures of before period at 31.8% and 23.2%, respectively. Let's see when the effects of Default Trust changes tails off.

8293

Other / Meta / Re: DefaultTrust changes

on: January 27, 2019, 03:18:42 AM

Welcome to my topic, namely Tracking the difference of merit circulations with Default Trust Changes In short: Quote from: tranthidung on January 27, 2019, 01:29:27 AM Two weeks later: (1) There is no outliers within two weeks after Default Trust changes. Only one day (09/01/2019) comes closer the the outlier-identifying threshold. (2) Median and mean of the intraday merits twoo weeks after Default Trust Changes are higher than the figures of before period at 31.8% and 23.2%, respectively. - Median: +31.8% - Mean: +23.2% Let's see when the effects of Default Trust changes tails off.

8294

Other / Meta / Tracking the difference of merit circulations with Default Trust Changes

on: January 27, 2019, 01:29:27 AM

TRACKING THE DIFFERENCE OF MERIT CIRCULATIONS WITH DEFAULT TRUST CHANGES ON 09/01/2019 (IN MEANS AND MEDIANS) - Update will be published in the newest post (weekly update), not in the OP; Colors: - Green: Increasing change; - Red: Decreasing change. ABSTRACT Two weeks later: (1) There is no outliers within two weeks after Default Trust changes. Only one day (09/01/2019) comes closer the the outlier-identifying threshold. (2) Median and mean of the intraday merits twoo weeks after Default Trust Changes are higher than the figures of before period at 31.8% and 23.2%, respectively. - Median: + 37.1% - Mean: + 24.2% Objectives (1) To measure the percentage difference changes of median and mean of intraday merits between the before and after periods (the cut-off is 09/01/2019); (2) To observe the the difference changes over time; (3) To identify when the impacts of Default Trust Changes tails off. As you all known that theymos decided to make DefaultTrust changes (still in pilot phase, not official). The change of Default Trust has obviously resulted in dramatical increasing wave of merit circulations in the forum. The following time series plot clearly shows it: - For dataset of intraday merits within 2018, please get it there - For dataset of the year 2019, please get it there 1) Outliers identified - None or only one day (on 09/01/2019) In my another topic, potential outliers for truncated dataset identified (from 19/2/2018 to 21/1/2019): Quote from: tranthidung on January 26, 2019, 03:41:52 PM Potential outliers are days that have intraday merits beyond 124 or 1164. For all days (till now) in the year 2019, there is no day beyond the outlier-identifying threshold. Only one day should be taken into consideration, it is 09/01/2019 with 1161. The day has only three merits lower than the threshold, so we can call it as an outlier or not (it depends on your viewpoint)! 2) Statistics: Statistics will be present in means +/- standard deviations; medians (interquartile ranges); mins and maxs. You can imagine what I will do with the following dummy table to track changes. Raw statistics are here: Code: . tabstat before090119 wkslater_2, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s) variable \| N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- before090119 \| 324.0 677.0 263.0 616.5 510.5 766.5 312.0 2463.0 wkslater_2 \| 14.0 840.4 191.4 845.5 658.0 987.0 611.0 1161.0 3) Changes over weeks Now, let's see changes of means and medians of intraday merits over weeks after the Default Trust changes. I compared statistics (means, medians) between the before period (for days from 19/02/2018) and different after period (from 09/01/2019 till the end of each later week). For instance, wkslater_2 presents for the statistics of two weeks after the DefaultTrust Changes. After two weeks, the median and mean of two-week later period are higher than figures of the before period at + 37.1% and + 24.2%, respectively. Notes: Update tables to 6 weeks later.

8295

Other / Meta / Re: One year anniversary of merit system

on: January 27, 2019, 01:25:48 AM

Two kinds of feeling: - Happy to rank up after surpassing merit challenges. - Satisfied to see shitposters stop ranking up easily and make the forum as their land-fill. Quote from: CryptopreneurBrainboss on January 26, 2019, 05:37:42 PM It's a great feeling ranking up in the new system. Data analytics is only one of ways to contribute to the forum. Let's do what you think are constructive for the forum and forum users. Quote As an average poster with no skill in data analysis, merit analysis etc it was a thing of joy knowing my little contribution to the forum was appreciated and i have ranked up earning over 100+merit so please don't call us fools. In third world nations, even $10 means a lot of things for locals. Quote For you merit means nothing but for some of us it does mean something. Never insult that man celebrating his $100 salary because you own $10,000

8296

Other / Meta / Re: One year anniversary of merit system

on: January 26, 2019, 04:39:43 PM

Quote from: LFC_Bitcoin on January 26, 2019, 04:34:47 PM Overall the Merit system is an excellent addition to the forum but it does kind of favour the elite posters not the average to good which there are more of. By now, the most intesting things I witnessed around one year after the start of merit system are: - Campaigns tend to requires minimum earned merits to join. - Campaigns' managers tend to choose candidates with more earned merits in last 120-day period. - Even shitty higher ranked users (Full Members, Senior Members, and higher) that have not earned single merits after more than one year will hardly have odds to get acceptance from campaigns' managers. It's amazing impacts of merit system. Sometimes, I saw shitty higher ranked users with no single merit earned, they will be rejected from campaigns for sure.

8297

Other / Meta / Re: One year anniversary of merit system

on: January 26, 2019, 03:59:23 PM

Today, I made the update on my another topic with newest data dump from LoyceV. For full details, please read in original posts. Hope it help! Quote from: tranthidung on January 26, 2019, 03:20:46 PM Update: ABSTRACT Notes: - The asbstract describes figures of intraday merits over the period from 19/2/2018 to 21/01/2019 (truncated dataset); - Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 21/01/2019 truncated as well due to incomplete week (the fourth week of 2019 -2019w4); - Statistics presented in the post are for truncated dataset. (1) Potential outliers are days that have intraday total merits beyond 124 or 1164; (2) Median of intraday merits over the period is 620, whilst the interquartile range is from 514 to 774; (3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 617 and 542, respectively. In contrast, Monday is the day over weeks has highest intraday merits in terms of both median and mean, at 746 and 658, respectively. < ... > Plots: - Outliers displayed with red circles. - Outliers non-displayed. Quote from: tranthidung on January 26, 2019, 03:41:52 PM TRUST SYSTEM CHANGE'S IMPACTS ON INTRADAY MERITS ABSTRACT (1) Mean and median of the after period (from 09/01/2019 to 21/01/2019 - after the Trust System change) are higher than the figures of before period (from 19/02/2018 to 08/01/2019) at 26.7% and 42.3%, respectively. (2) There is no potential outliers occured recent days (in the after period) due to effects of Trust System change. It it very difference from the demotion of Junior Members in September 2018, when outliers occured due to massive absusements. It is just an assumption, but it is likely that the Trust System change has not led to merit abusements (at least till now). < ... > 2) Box plots: Outliers displayed Outliers non-displayed (in order to have clearer view on difference between medians of before and after periods. Notes for box plots: - Red circles: potential outliers. - Medians: horizontal lines inside boxes.

8298

Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

on: January 26, 2019, 03:41:52 PM

TRUST SYSTEM CHANGE'S IMPACTS ON INTRADAY MERITS ABSTRACT (1) Mean and median of the after period (from 09/01/2019 to 21/01/2019 - after the Trust System change) are higher than the figures of before period (from 19/02/2018 to 08/01/2019) at 26.7% and 42.3%, respectively. (2) There is no potential outliers occured recent days (in the after period) due to effects of Trust System change. It it very difference from the demotion of Junior Members in September 2018, when outliers occured due to massive absusements. It is just an assumption, but it is likely that the Trust System change has not led to merit abusements (at least till now). 1) Statistics: It's easily to see that both mean and median of the period after 09/01/2019 are higher than figures of the period before 09/01/2019. 1.1. Before: - Mean: 677; - Median: 617. 1.2. After: - Mean: 858. - Median: 878 It means that the mean and median of the after period are higher than the before period at 26.7% and 42.3%, respectively. As always, I would like to look at the median difference between them (42.3%). Code: . di (858-677)100/677 26.735598 . di (878-617)100/617 42.301459 Details presented below: - whole: for whole period, from 19/02/2018 to 21/01/2019. Code: . tabstat whole before090119 after090119, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s) variable \| N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- whole \| 337.0 684.0 262.6 620.0 514.0 774.0 312.0 2463.0 before090119 \| 324.0 677.0 263.0 616.5 510.5 766.5 312.0 2463.0 after090119 \| 13.0 857.5 187.8 878.0 683.0 987.0 611.0 1161.0 ---------------------------------------------------------------------------------------------- 2) Box plots: Outliers displayed Outliers non-displayed (in order to have clearer view on difference between medians of before and after periods. Notes for box plots: - Red circles: potential outliers. - Medians: horizontal lines inside boxes.

8299

Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

on: January 26, 2019, 03:20:46 PM

Update:

ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 21/01/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 21/01/2019 truncated as well due to incomplete week (the fourth week of 2019 -2019w4);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 124 or 1164;
(2) Median of intraday merits over the period is 620, whilst the interquartile range is from 514 to 774;
(3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 617 and 542, respectively.
In contrast, Monday is the day over weeks has highest intraday merits in terms of both median and mean, at 746 and 658, respectively.

1) Time series plot
I used full dataset (only dropped the first two days due to extremely high merits distributed during those days), since 24/1/2018 to 23/1/2019 to draw the below plot

First two days dropped from the plot

2) Basic statistics
- Mean +/- sd: 684 +/-263
- Median (interquartile range): 620 (514 – 774)
- Min - max: 312 - 2463

Let's compared with statistics for the previous report.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 846 – 521 = 325;
1.5*IQR = 1.5*325 = 487.5
Potential outliers:
- Above Q3 +1.5*IQR = 846 + 487.5 = 1333.5;
- Below Q1 – 1.5*IQR = 521 – 487.5 = 33.5
Let's see how many days that have total intraday merits beyond 34 or 1334?

Code:

. count if merit > 1334 | merit < 34 & merit != .
  31

In total, 31 days are extremely potential outliers, and none of them occured recent weeks (only days before 18/9/2018).

Code:

 . list id date week month merit if merit > 1334 | merit < 34 & merit != .

     +--------------------------------------------+
     |  id        date      week    month   merit |
     |--------------------------------------------|
  1. |   1   24jan2018    2018w4   2018m1   13018 |
  2. |   2   25jan2018    2018w4   2018m1    6761 |
  3. |   3   26jan2018    2018w4   2018m1    4493 |
  4. |   4   27jan2018    2018w4   2018m1    3489 |
  5. |   5   28jan2018    2018w4   2018m1    3188 |
     |--------------------------------------------|
  6. |   6   29jan2018    2018w5   2018m1    3799 |
  7. |   7   30jan2018    2018w5   2018m1    4192 |
  8. |   8   31jan2018    2018w5   2018m1    2820 |
  9. |   9   01feb2018    2018w5   2018m2    2545 |
 10. |  10   02feb2018    2018w5   2018m2    2568 |
     |--------------------------------------------|
 11. |  11   03feb2018    2018w5   2018m2    1867 |
 12. |  12   04feb2018    2018w5   2018m2    2167 |
 13. |  13   05feb2018    2018w6   2018m2    2077 |
 14. |  14   06feb2018    2018w6   2018m2    2308 |
 15. |  15   07feb2018    2018w6   2018m2    2141 |
     |--------------------------------------------|
 16. |  16   08feb2018    2018w6   2018m2    2141 |
 17. |  17   09feb2018    2018w6   2018m2    1448 |
 18. |  18   10feb2018    2018w6   2018m2    1747 |
 19. |  19   11feb2018    2018w6   2018m2    1442 |
 21. |  21   13feb2018    2018w7   2018m2    1579 |
     |--------------------------------------------|
 22. |  22   14feb2018    2018w7   2018m2    2513 |
 23. |  23   15feb2018    2018w7   2018m2    1991 |
 24. |  24   16feb2018    2018w7   2018m2    1411 |
 25. |  25   17feb2018    2018w7   2018m2    1608 |
 27. |  27   19feb2018    2018w8   2018m2    1403 |
     |--------------------------------------------|
 32. |  32   24feb2018    2018w8   2018m2    1409 |
 34. |  34   26feb2018    2018w9   2018m2    1382 |
 38. |  38   02mar2018    2018w9   2018m3    1696 |
 48. |  48   12mar2018   2018w11   2018m3    1354 |
236. | 236   16sep2018   2018w37   2018m9    2463 |
     |--------------------------------------------|
237. | 237   17sep2018   2018w38   2018m9    1862 |
     +--------------------------------------------+

Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 21/1/2019):
IQR = Q3 – Q1 = 774 – 514 = 260;
1.5*IQR = 1.5*260 = 390
Potential outliers:
- Above Q3 +1.5*IQR = 774 + 390 = 1164;
- Below Q1 – 1.5*IQR = 514 – 390 = 124.
Potential outliers are days that have intraday merits beyond 124 or 1164.
Let's see how many days that have total intraday merits beyond 124 or 1164 ?

Code:

. count if (merit >= 1164 | merit <= 124) & merit != . & id >26
  19

19 outliers in total, and there is no potential outlier day happened in early weeks of 2019.

Code:

 . list id merit date if merit >= 1164 | merit <= 124

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |  27    1403   19feb2018 |
  2. |  28    1169   20feb2018 |
  3. |  29    1266   21feb2018 |
  4. |  30    1279   22feb2018 |
  6. |  32    1409   24feb2018 |
     |-------------------------|
  7. |  33    1186   25feb2018 |
  8. |  34    1382   26feb2018 |
  9. |  35    1326   27feb2018 |
 11. |  37    1333   01mar2018 |
 12. |  38    1696   02mar2018 |
     |-------------------------|
 15. |  41    1245   05mar2018 |
 22. |  48    1354   12mar2018 |
 30. |  56    1322   20mar2018 |
 31. |  57    1227   21mar2018 |
 42. |  68    1233   01apr2018 |
     |-------------------------|
210. | 236    2463   16sep2018 |
211. | 237    1862   17sep2018 |
212. | 238    1294   18sep2018 |
213. | 239    1268   19sep2018 |
     +-------------------------+

2) The 50 lowest day in terms of daily merits

Code:

 . list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. |   312   335   24dec2018      Monday    24       12   2018   2018w52   2018m12 |
  2. |   316   333   22dec2018    Saturday    22       12   2018   2018w51   2018m12 |
  3. |   325   340   29dec2018    Saturday    29       12   2018   2018w52   2018m12 |
  4. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
  5. |   347   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
     |-------------------------------------------------------------------------------|
  6. |   348   304   23nov2018      Friday    23       11   2018   2018w47   2018m11 |
  7. |   370   122   25may2018      Friday    25        5   2018   2018w21    2018m5 |
  8. |   376   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
  9. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
 10. |   377   326   15dec2018    Saturday    15       12   2018   2018w50   2018m12 |
     |-------------------------------------------------------------------------------|
 11. |   379   220   31aug2018      Friday    31        8   2018   2018w35    2018m8 |
 12. |   383   217   28aug2018     Tuesday    28        8   2018   2018w35    2018m8 |
 13. |   385   214   25aug2018    Saturday    25        8   2018   2018w34    2018m8 |
 14. |   386   339   28dec2018      Friday    28       12   2018   2018w52   2018m12 |
 15. |   389   341   30dec2018      Sunday    30       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
 16. |   394   345   03jan2019    Thursday     3        1   2019    2019w1    2019m1 |
 17. |   395   228   08sep2018    Saturday     8        9   2018   2018w36    2018m9 |
 18. |   397   320   09dec2018      Sunday     9       12   2018   2018w49   2018m12 |
 19. |   399   262   12oct2018      Friday    12       10   2018   2018w41   2018m10 |
 20. |   402   329   18dec2018     Tuesday    18       12   2018   2018w51   2018m12 |
     |-------------------------------------------------------------------------------|
 21. |   405   287   06nov2018     Tuesday     6       11   2018   2018w45   2018m11 |
 22. |   412   222   02sep2018      Sunday     2        9   2018   2018w35    2018m9 |
 23. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 24. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 25. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 26. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 27. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 28. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 29. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
 30. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
     |-------------------------------------------------------------------------------|
 31. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 32. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 33. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 34. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
 35. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
     |-------------------------------------------------------------------------------|
 36. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 37. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 38. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 39. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
 40. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
     |-------------------------------------------------------------------------------|
 41. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 42. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 43. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 44. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
 45. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
     |-------------------------------------------------------------------------------|
 46. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 49. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
 50. |   462   306   25nov2018      Sunday    25       11   2018   2018w47   2018m11 |

3) The 50 highest day in terms of daily merits

Code:

 . list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. | 13018     1   24jan2018   Wednesday    24        1   2018    2018w4    2018m1 |
  2. |  6761     2   25jan2018    Thursday    25        1   2018    2018w4    2018m1 |
  3. |  4493     3   26jan2018      Friday    26        1   2018    2018w4    2018m1 |
  4. |  4192     7   30jan2018     Tuesday    30        1   2018    2018w5    2018m1 |
  5. |  3799     6   29jan2018      Monday    29        1   2018    2018w5    2018m1 |
     |-------------------------------------------------------------------------------|
  6. |  3489     4   27jan2018    Saturday    27        1   2018    2018w4    2018m1 |
  7. |  3188     5   28jan2018      Sunday    28        1   2018    2018w4    2018m1 |
  8. |  2820     8   31jan2018   Wednesday    31        1   2018    2018w5    2018m1 |
  9. |  2568    10   02feb2018      Friday     2        2   2018    2018w5    2018m2 |
 10. |  2545     9   01feb2018    Thursday     1        2   2018    2018w5    2018m2 |
     |-------------------------------------------------------------------------------|
 11. |  2513    22   14feb2018   Wednesday    14        2   2018    2018w7    2018m2 |
 12. |  2463   236   16sep2018      Sunday    16        9   2018   2018w37    2018m9 |
 13. |  2308    14   06feb2018     Tuesday     6        2   2018    2018w6    2018m2 |
 14. |  2167    12   04feb2018      Sunday     4        2   2018    2018w5    2018m2 |
 15. |  2141    15   07feb2018   Wednesday     7        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
 17. |  2077    13   05feb2018      Monday     5        2   2018    2018w6    2018m2 |
 18. |  1991    23   15feb2018    Thursday    15        2   2018    2018w7    2018m2 |
 19. |  1867    11   03feb2018    Saturday     3        2   2018    2018w5    2018m2 |
 20. |  1862   237   17sep2018      Monday    17        9   2018   2018w38    2018m9 |
     |-------------------------------------------------------------------------------|
 21. |  1747    18   10feb2018    Saturday    10        2   2018    2018w6    2018m2 |
 22. |  1696    38   02mar2018      Friday     2        3   2018    2018w9    2018m3 |
 23. |  1608    25   17feb2018    Saturday    17        2   2018    2018w7    2018m2 |
 24. |  1579    21   13feb2018     Tuesday    13        2   2018    2018w7    2018m2 |
 25. |  1448    17   09feb2018      Friday     9        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 26. |  1442    19   11feb2018      Sunday    11        2   2018    2018w6    2018m2 |
 27. |  1411    24   16feb2018      Friday    16        2   2018    2018w7    2018m2 |
 28. |  1409    32   24feb2018    Saturday    24        2   2018    2018w8    2018m2 |
 29. |  1403    27   19feb2018      Monday    19        2   2018    2018w8    2018m2 |
 30. |  1382    34   26feb2018      Monday    26        2   2018    2018w9    2018m2 |
     |-------------------------------------------------------------------------------|
 31. |  1354    48   12mar2018      Monday    12        3   2018   2018w11    2018m3 |
 32. |  1333    37   01mar2018    Thursday     1        3   2018    2018w9    2018m3 |
 33. |  1331    20   12feb2018      Monday    12        2   2018    2018w7    2018m2 |
 34. |  1326    35   27feb2018     Tuesday    27        2   2018    2018w9    2018m2 |
 35. |  1322    56   20mar2018     Tuesday    20        3   2018   2018w12    2018m3 |
     |-------------------------------------------------------------------------------|
 36. |  1294   238   18sep2018     Tuesday    18        9   2018   2018w38    2018m9 |
 37. |  1289    26   18feb2018      Sunday    18        2   2018    2018w7    2018m2 |
 38. |  1279    30   22feb2018    Thursday    22        2   2018    2018w8    2018m2 |
 39. |  1268   239   19sep2018   Wednesday    19        9   2018   2018w38    2018m9 |
 40. |  1266    29   21feb2018   Wednesday    21        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 41. |  1245    41   05mar2018      Monday     5        3   2018   2018w10    2018m3 |
 42. |  1233    68   01apr2018      Sunday     1        4   2018   2018w13    2018m4 |
 43. |  1227    57   21mar2018   Wednesday    21        3   2018   2018w12    2018m3 |
 44. |  1186    33   25feb2018      Sunday    25        2   2018    2018w8    2018m2 |
 45. |  1169    28   20feb2018     Tuesday    20        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 46. |  1161   351   09jan2019   Wednesday     9        1   2019    2019w2    2019m1 |
 47. |  1159    50   14mar2018   Wednesday    14        3   2018   2018w11    2018m3 |
 48. |  1146    69   02apr2018      Monday     2        4   2018   2018w14    2018m4 |
 49. |  1138   153   25jun2018      Monday    25        6   2018   2018w26    2018m6 |
 50. |  1130    51   15mar2018    Thursday    15        3   2018   2018w11    2018m3 |

4) Intraday merits over days of week
- In medians of intraday merits, and GMT time, lowest days are Friday, Saturday and Sunday, at 542, 601 and 610 respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 617, 623, and 677.
- The highest day in terms of means and medians are both Monday, at 746 and 658, respectively. In contrast,the lowest day in terms of means and medians are both Friday, at 617 and 542, respectively.
More details in the raw results below.

Code:

 . tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)

Summary for variables: merit
     by categories of: dofw 

     dofw |         N      mean        sd       p50       p25       p75       min       max
----------+--------------------------------------------------------------------------------
   Sunday |      48.0     703.5     342.5     610.0     470.0     816.5     389.0    2463.0
   Monday |      49.0     745.8     307.9     658.0     536.0     822.0     312.0    1862.0
  Tuesday |      48.0     699.0     236.5     627.0     572.5     767.5     383.0    1326.0
Wednesday |      48.0     722.3     225.5     653.0     560.0     773.5     435.0    1268.0
 Thursday |      48.0     676.8     228.0     639.5     511.5     806.0     347.0    1333.0
   Friday |      48.0     616.4     237.0     542.0     469.0     715.5     348.0    1696.0
 Saturday |      48.0     622.8     222.4     600.5     460.5     691.5     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     337.0     684.0     262.6     620.0     514.0     774.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.

8300

Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

on: January 26, 2019, 02:42:27 PM

Converted dataset for intraday merits in 2019 (for first part of the full dataset in the year 2018, please check previous posts).

Code:

. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
352. | 352     987   10jan2019    10        1   2019   2019w2   2019m1    Thursday |
     |-----------------------------------------------------------------------------|
353. | 353     878   11jan2019    11        1   2019   2019w2   2019m1      Friday |
354. | 354     711   12jan2019    12        1   2019   2019w2   2019m1    Saturday |
355. | 355     978   13jan2019    13        1   2019   2019w2   2019m1      Sunday |
356. | 356    1127   14jan2019    14        1   2019   2019w2   2019m1      Monday |
357. | 357     813   15jan2019    15        1   2019   2019w3   2019m1     Tuesday |
     |-----------------------------------------------------------------------------|
358. | 358     880   16jan2019    16        1   2019   2019w3   2019m1   Wednesday |
359. | 359    1018   17jan2019    17        1   2019   2019w3   2019m1    Thursday |
360. | 360     611   18jan2019    18        1   2019   2019w3   2019m1      Friday |
361. | 361     643   19jan2019    19        1   2019   2019w3   2019m1    Saturday |
362. | 362     658   20jan2019    20        1   2019   2019w3   2019m1      Sunday |
     |-----------------------------------------------------------------------------|
363. | 363     683   21jan2019    21        1   2019   2019w3   2019m1      Monday |
364. | 364     618   22jan2019    22        1   2019   2019w4   2019m1     Tuesday |
365. | 365     735   23jan2019    23        1   2019   2019w4   2019m1   Wednesday |
     +-----------------------------------------------------------------------------+

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