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  • Wireshark vs Netmon for precise time tagging

    - by Nic
    I'm using Wireshark to time tag and get some statistics on multicast traffic. When there is not much traffic, the stats looks good, but as soon as there is a bunch of packets arriving at the same time, I have stats that are not even possible (e.g. round trip time of 0ms) I'm wondering if Netmon could be more precise in time tagging packet because it is not relying on the Winpcap driver? Does anybody already faced the same situation? Thanks a lot, Nic

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  • Collecting and viewing statistical data on website usage? Want to give Google Analytics the boot.

    - by amn
    I have always been somewhat reluctant to "outsource" site statistics to Google. We have an Apache server running on a Windows server. I am pretty sure all the foundation to collect the needed visitor data are there. I would like to stop using GA, and use some form of application where the data does not travel to a third party but remains at the host, or at least travels to the remote administrator, if it is a log analyzer in a browser. What are my options?

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  • Weird TPS peaks on SQL 2005 replicated database.

    - by SuperCoolMoss
    When monitoring the Transactions/Sec using perfmon on one of my SQL2005 replicated databases - I'm seeing the TPS increase to 1000 and then immediately drop back down again - this happens every 5 seconds. I'm not sure what's causing this - is this something to do with replication? We also have asynchronous statistics set on this particular database. I've tried profiling when the users are not connected - but nothing is writing to the database. ADDED PICTURE AND BOUNTY

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  • How to set Fn+F2 to show battery's status throug OSD and not power statistics?

    - by papukaija
    In natty pressing Fn+F2 on my Samsung NC10 opened a new notification with the remaining battery power. After upgrading to Oneiric, it opens the power statistics. Is the a way to revert this change? Checking the battery status with the notification is much faster than finding it from the power statistics. I know that the remaining battery time can be set to be shown on the panel but I'm used to Fn+F2.

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  • Coldfusion popularity

    - by jrharshath
    Hi, I've heard of Coldfusion being a server side technology for web app dev. Are there any statistics as to how widely it is used as opposed to PHP, Java Servlets and JSP or ASP.NET? Are there any special features in coldfusion that make learning it worth the while? Thanks, jrh PS: please don't close this question as argumentative. I'm looking for statistics and real answers. Thanks for understanding.

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  • Keeping video viewing statistics breakdown by video time in a database

    - by Septagram
    I need to keep a number of statistics about the videos being watched, and one of them is what parts of the video are being watched most. The design I came up with is to split the video into 256 intervals and keep the floating-point number of views for each of them. I receive the data as a number of intervals the user watched continuously. The problem is how to store them. There are two solutions I see. Row per every video segment Let's have a database table like this: CREATE TABLE `video_heatmap` ( `id` int(11) NOT NULL AUTO_INCREMENT, `video_id` int(11) NOT NULL, `position` tinyint(3) unsigned NOT NULL, `views` float NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `idx_lookup` (`video_id`,`position`) ) ENGINE=MyISAM Then, whenever we have to process a number of views, make sure there are the respective database rows and add appropriate values to the views column. I found out it's a lot faster if the existence of rows is taken care of first (SELECT COUNT(*) of rows for a given video and INSERT IGNORE if they are lacking), and then a number of update queries is used like this: UPDATE video_heatmap SET views = views + ? WHERE video_id = ? AND position >= ? AND position < ? This seems, however, a little bloated. The other solution I came up with is Row per video, update in transactions A table will look (sort of) like this: CREATE TABLE video ( id INT NOT NULL AUTO_INCREMENT, heatmap BINARY (4 * 256) NOT NULL, ... ) ENGINE=InnoDB Then, upon every time a view needs to be stored, it will be done in a transaction with consistent snapshot, in a sequence like this: If the video doesn't exist in the database, it is created. A row is retrieved, heatmap, an array of floats stored in the binary form, is converted into a form more friendly for processing (in PHP). Values in the array are increased appropriately and the array is converted back. Row is changed via UPDATE query. So far the advantages can be summed up like this: First approach Stores data as floats, not as some magical binary array. Doesn't require transaction support, so doesn't require InnoDB, and we're using MyISAM for everything at the moment, so there won't be any need to mix storage engines. (only applies in my specific situation) Doesn't require a transaction WITH CONSISTENT SNAPSHOT. I don't know what are the performance penalties of those. I already implemented it and it works. (only applies in my specific situation) Second approach Is using a lot less storage space (the first approach is storing video ID 256 times and stores position for every segment of the video, not to mention primary key). Should scale better, because of InnoDB's per-row locking as opposed to MyISAM's table locking. Might generally work faster because there are a lot less requests being made. Easier to implement in code (although the other one is already implemented). So, what should I do? If it wasn't for the rest of our system using MyISAM consistently, I'd go with the second approach, but currently I'm leaning to the first one. But maybe there are some reasons to favour one approach or another?

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  • Opencart Dashboard show last months statistics

    - by John Magnolia
    How could I added the option to show the statistics for last month. PHP public function chart() { $this->load->language('common/home'); $data = array(); $data['order'] = array(); $data['customer'] = array(); $data['xaxis'] = array(); $data['order']['label'] = $this->language->get('text_order'); $data['customer']['label'] = $this->language->get('text_customer'); if (isset($this->request->get['range'])) { $range = $this->request->get['range']; } else { $range = 'month'; } switch ($range) { case 'day': for ($i = 0; $i < 24; $i++) { $query = $this->db->query("SELECT COUNT(*) AS total FROM `" . DB_PREFIX . "order` WHERE order_status_id > '0' AND (DATE(date_added) = DATE(NOW()) AND HOUR(date_added) = '" . (int)$i . "') GROUP BY HOUR(date_added) ORDER BY date_added ASC"); if ($query->num_rows) { $data['order']['data'][] = array($i, (int)$query->row['total']); } else { $data['order']['data'][] = array($i, 0); } $query = $this->db->query("SELECT COUNT(*) AS total FROM " . DB_PREFIX . "customer WHERE DATE(date_added) = DATE(NOW()) AND HOUR(date_added) = '" . (int)$i . "' GROUP BY HOUR(date_added) ORDER BY date_added ASC"); if ($query->num_rows) { $data['customer']['data'][] = array($i, (int)$query->row['total']); } else { $data['customer']['data'][] = array($i, 0); } $data['xaxis'][] = array($i, date('H', mktime($i, 0, 0, date('n'), date('j'), date('Y')))); } break; case 'week': $date_start = strtotime('-' . date('w') . ' days'); for ($i = 0; $i < 7; $i++) { $date = date('Y-m-d', $date_start + ($i * 86400)); $query = $this->db->query("SELECT COUNT(*) AS total FROM `" . DB_PREFIX . "order` WHERE order_status_id > '0' AND DATE(date_added) = '" . $this->db->escape($date) . "' GROUP BY DATE(date_added)"); if ($query->num_rows) { $data['order']['data'][] = array($i, (int)$query->row['total']); } else { $data['order']['data'][] = array($i, 0); } $query = $this->db->query("SELECT COUNT(*) AS total FROM `" . DB_PREFIX . "customer` WHERE DATE(date_added) = '" . $this->db->escape($date) . "' GROUP BY DATE(date_added)"); if ($query->num_rows) { $data['customer']['data'][] = array($i, (int)$query->row['total']); } else { $data['customer']['data'][] = array($i, 0); } $data['xaxis'][] = array($i, date('D', strtotime($date))); } break; default: case 'month': for ($i = 1; $i <= date('t'); $i++) { $date = date('Y') . '-' . date('m') . '-' . $i; $query = $this->db->query("SELECT COUNT(*) AS total FROM `" . DB_PREFIX . "order` WHERE order_status_id > '0' AND (DATE(date_added) = '" . $this->db->escape($date) . "') GROUP BY DAY(date_added)"); if ($query->num_rows) { $data['order']['data'][] = array($i, (int)$query->row['total']); } else { $data['order']['data'][] = array($i, 0); } $query = $this->db->query("SELECT COUNT(*) AS total FROM " . DB_PREFIX . "customer WHERE DATE(date_added) = '" . $this->db->escape($date) . "' GROUP BY DAY(date_added)"); if ($query->num_rows) { $data['customer']['data'][] = array($i, (int)$query->row['total']); } else { $data['customer']['data'][] = array($i, 0); } $data['xaxis'][] = array($i, date('j', strtotime($date))); } break; case 'year': for ($i = 1; $i <= 12; $i++) { $query = $this->db->query("SELECT COUNT(*) AS total FROM `" . DB_PREFIX . "order` WHERE order_status_id > '0' AND YEAR(date_added) = '" . date('Y') . "' AND MONTH(date_added) = '" . $i . "' GROUP BY MONTH(date_added)"); if ($query->num_rows) { $data['order']['data'][] = array($i, (int)$query->row['total']); } else { $data['order']['data'][] = array($i, 0); } $query = $this->db->query("SELECT COUNT(*) AS total FROM " . DB_PREFIX . "customer WHERE YEAR(date_added) = '" . date('Y') . "' AND MONTH(date_added) = '" . $i . "' GROUP BY MONTH(date_added)"); if ($query->num_rows) { $data['customer']['data'][] = array($i, (int)$query->row['total']); } else { $data['customer']['data'][] = array($i, 0); } $data['xaxis'][] = array($i, date('M', mktime(0, 0, 0, $i, 1, date('Y')))); } break; } $this->response->setOutput(json_encode($data)); } HTML <select name="range"> <option value="day">Today</option> <option value="week">This Week</option> <option value="month">This Month</option> <option value="year">This Year</option> </select>

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  • Tracking Unique site Views for 2012 - Not my website

    - by user580950
    I am in trouble. I placed and advt on a website in 2012 which said he has 950,000 unique visits each month so early in 2012 i advertised with them. The advertised didn't worked out so checked in 2-3 months time and i saw that the unique visitors on their site was 8,000 at that time.I immediately close the account I dont remember which site i was checking the unique visitors.That advt company has filed a dispute against me. So is there any tool that give me stats of 2012 of any website. i tried google trends but it doesnt show statistics ..

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  • Lightweight monitoring for a Windows XP laptop

    - by kazanaki
    Hello I have a windows XP laptop in a remote location. I would like to have an overview for CPU/Memory statistics from a remote location. Monitoring a specific service (a Tomcat instance) would be nice but not essential. I have seen the monitoring solutions (Nagios, cacti e.t.c) and they are all very heavy. I do not want to install mysql, web server and other stuff like that on the laptop. I don't even need a web solution at all. It could just be a simple command line app with a server port and on my machine another GUI application would connect there (and not a web browser) Is there something like this available?

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  • Client-based program to track response time for online webservice

    - by Søren Haagerup
    I am helping a customer with general IT support, and they have a problem with a hosted web-based system being slow. The provider of the system blames the client's computer, and the client calls me for help. I blame the provider, but it is hard to get them to do something about it without rock-solid evidence. And every time the provider comes around for a TeamViewer session, everything of course runs smoothly. Does there exist a client program or browser plugin that tracks statistics about response time for specific web services?

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  • Facebook Connect Statistics

    - by thekevinscott
    All, A client is asking for Facebook Connect statistical data. Specifically, how many people have shared a link to their wall. I have a Facebook app setup but I am having trouble interpreting the statistical data. Do Facebook apps collect this data, or can anyone think of any way of gleaning this data from the past month, from server logs or something? For instance, can I look at the logs for xd_receiver.htm and see usage patterns from that, or something?

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  • Statistics based marketing campaign measurement tools

    - by AFHood
    Currently using SAS as measurement engine and Business Objects as display layer. Looking to develop a new, faster, slicker solution. Has anyone developed or purchased a campaign measurement reporting system? This solution should measure everything from email stats, web stats, customer activity, lift, ROI, etc. Ok.. I'm researching and finding nada... We are working with a team from India and they want to re-write everything from scratch.. Any solutions out there at all?

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  • SQL to get distinct statistics

    - by Sung Kim
    Hi, Suppose I have data in table X: id assign team ---------------------- 1 hunkim A 1 ygg A 2 hun B 2 gw B 2 david B 3 haha A I want to know how many assigns for each id. I can get using: select id, count(distinct assign) from X group by id order by count(distinct assign)desc; It will give me something: 1 2 2 3 3 1 My question is how can I get the average of the all assign counts? In addition, now I want to know the everage per team. So I want to get something like: team assign_avg ------------------- A 1.5 B 3 Thanks in advance!

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  • using R to estimate finite mixture model with underlying Markov process

    - by stevejb
    Hello, My apologies if this is more of a statistics question than an R question. I am trying to estimate the following model in R. y_t = mu0 (1 - S_t) + mu1 S_t + e_t e_t ~ N(0, sigma_t^2) sigma_t^2 = sigma_0^2 (1 - S_t) + sigma_1^2 S_t where mu_t = mu0 if S_t = 0, mu_t = mu1 if S_t = 1, and S_t is a Markov process, either 0 or 1, with transition probabilities P(S_t = 1 | S_t-1 = 1 ) = p and P(S_t = 0 | S_t-1 = 0 ) = q. Would 'flexmix' be a good library to use for this? I am new to this kind of statistics so any pointer to the right library would be appreciated. Thanks,

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  • How to find subgroups statistics in pandas?

    - by user2808117
    I am grouping a DataFrame using multiple columns (e.g., columns A, B - my_df.groupby(['A','B']) ), is there a better (less lines of code, faster) way of finding how many rows are in each subgroup and how many subgroups are there in total? at the moment I am using: def get_grp_size(grp): grp['size'] = len(grp) return grp my_df = my_df.groupby(['A','B']).apply(get_grp_size) my_df[['A','B','size']].drop_duplicates().size

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  • What is the command for Index optimization and update statistics for Oracle 10g and 11g?

    - by indra
    I am Loading large no of rows into a table from a csv data file . For every 10000 records I want to update the indexs on the table for optimization (update statistics ). Any body tell me what is the command i can use? Also what is MSSQL "UPDATE STATISTICS" equivalent in Oracle.is Update statistics means index optimization or gatehring statistics. I am using Oracle 10g and 11g. Thanks in advance.

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  • Understanding Plesk Watchdog statistics

    - by weotch
    We have Plesk 8.3 installed. I've started using their Watchdog module to track server useage. Our server routinely has trouble with the amount of traffic we have and I think our MySQL queries need to be smarter. Anyway, looking at the stats from Watchdog, it seems like MySQL usage is low compared to so something else making up the "overall" usage. See this: I was hoping someone with a lot of Plesk exeprience could help me understand what I'm seeing here. Can I not trust Watchdog's reports or am I missing something?

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  • Examining C/C++ Heap memory statistics in gdb

    - by fd
    I'm trying to investigate the state of the C/C++ heap from within gdb on Linux amd64, is there a nice way to do this? One approach I've tried is to "call mallinfo()" but unfortunately I can't then extract the values I want since gdb deal with the return value properly. I'm not easily able to write a function to be compiled into the binary for the process I am attached to, so I can simply implement my own function to extract the values by calling mallinfo() in my own code this way. Is there perhaps a clever trick that will allow me to do this on-the-fly? Another option could be to locate the heap and traverse the malloc headers / free list; I'd appreciate any pointers to where I could start in finding the location and layout of these. I've been trying to Google and read around the problem for about 2 hours and I've learnt some fascinating stuff but still not found what I need.

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  • How can I make the output from tapply() into a data.frame

    - by James Thompson
    I have a data.frame in R that looks like this: score rms template aln_id description 1 -261.410 4.951 2f22A.pdb 2F22A_1 S_00001_0000002_0 2 -231.987 21.813 1wb9A.pdb 1WB9A_4 S_00002_0000002_0 3 -263.722 4.903 2f22A.pdb 2F22A_3 S_00003_0000002_0 4 -269.681 17.732 1wbbA.pdb 1WBBA_6 S_00004_0000002_0 5 -258.621 19.098 1rxqA.pdb 1RXQA_3 S_00005_0000002_0 6 -246.805 6.889 1rxqA.pdb 1RXQA_15 S_00006_0000002_0 7 -281.300 16.262 1wbdA.pdb 1WBDA_11 S_00007_0000002_0 8 -271.666 4.193 2f22A.pdb 2F22A_2 S_00008_0000002_0 9 -277.964 13.066 1wb9A.pdb 1WB9A_5 S_00009_0000002_0 10 -261.024 17.153 1yy9A.pdb 1YY9A_2 S_00001_0000003_0 I can calculate summary statistics on the data.frame like this: > tapply( d$score, d$template, mean ) 1rxqA.pdb 1wb9A.pdb 1wbbA.pdb 1wbdA.pdb 1yy9A.pdb 2f22A.pdb -252.7130 -254.9755 -269.6810 -281.3000 -261.0240 -265.5993 Is there an easy way that I coerce this output back into a data.frame? I'd like for it to have these two columns: d$template mean I love tapply, but right now I'm cutting and pasting the results from tapply into a text file and hacking it up a bit to get the summary statistics that I want with appropriate names. This feels very wrong, and I'd like to do something better!

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  • Howto obtain Per-Interface statistics on windows

    - by Canacourse
    I am trying to find the most used Network card on windows 200 or XP. I planned to obtain the number of packets sent trough each NIC to determine the main NIC. I thought IP Helper might give me this information but also it looks like the functions in IP helper only give stats for all interfaces. I know this can be done. Any ideas? Many Thanks...

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  • Social statistics for a given page

    - by Trendee
    I have looked through the API's of facebook and twitter but i cannot seem to find the answer to my question. On websites like http://punchfork.com/recipe/Porkitos-Crispy-Prosciutto-Chips-Nom-Nom-Paleo On the right hand side they have the social stats page with information such as Tweets, Facebook Shares and Stumbleupons. My question is how do they record or gather these results? Is it a case of they have a button that records it in their database then sends you to the page to tweet/share/stumble? But surely that couldn't be accurate as people might not continue to fill out the action.

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  • R statistics, change ranked tables to paired

    - by cousin_pete
    I have data for many tables like: event_id player finish 1 a 1 1 b 2 1 c 3 1 d 4 2 b 1 2 e 2 2 f 3 2 a 3 2 g 5 Many event_id's, each from 5 to 20 players, finish may be tied. In order to use conditional logistic regression in R I would like to reformat the tables to be like: event_id player1 player2 result 1 a b 1 1 a c 1 1 a d 1 1 b c 1 1 b d 1 1 c d 1 2 b e 1 2 b f 1 2 b a 1 2 b g 1 2 e f 1 2 e a 1 2 e g 1 2 f a 0.5 2 f g 1 2 a g 1 An event_id of 4 players will have 4*3/2 = 6 records in the new table, 5 players will have 5*4/2 = 10 records and so on. If player "a" has "finish" less than player "b" the "result" is 1. If "finish" is equal the "result" is 0.5. If player "a" has finish greater than player "b" then the "result" would be 0. Any help appreciated!

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  • Long running stats process - thoughts on language choice?

    - by Josh
    I am on a LAMP stack for a website I am managing. There is a need to roll up usage statistics (a variety of things related to our desktop product), and I initially tackled the problem with PHP (being that I had a bunch of classes to work with the data already). All worked well on my dev box which was using 5.3 Long story short, 5.1 memory management seems to suck a lot worse, and I've had to do a lot of fooling to get the long term roll up scripts to run in a fixed memory space. Our server guys are unwilling to upgrade php at this time. I've since moved my dev server back to 5.1 so I don't run into this problem again... For mining of mysql databases to roll up statistics for different periods and resolutions, potentially running a process that does this all the time in the future (as opposed to on a cron schedule), what language choice do you recommend? I was looking at python (I know it more or less), java (don't know it that well), sticking it out with php (know it quite well). Thanks for any suggestions. Josh

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