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  • Outsourcing Studies

    - by Mashmagar
    Outsourcing is typically disliked by programmers, but does anyone know any empirical studies of the cost/benefits of outsourcing for a company? I'm not looking for personal experiences here (as entertaining/frightening as they may be), but for actual research studies.

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  • Sort a list of tuples without case sensitivity

    - by dound
    How can I efficiently and easily sort a list of tuples without being sensitive to case? For example this: [('a', 'c'), ('A', 'b'), ('a', 'a'), ('a', 5)] Should look like this once sorted: [('a', 5), ('a', 'a'), ('A', 'b'), ('a', 'c')] The regular lexicographic sort will put 'A' before 'a' and yield this: [('A', 'b'), ('a', 5), ('a', 'a'), ('a', 'c')]

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  • Simple way to create possible case

    - by bugbug
    I have lists of data such as a = [1,2,3,4] b = ["a","b","c","d","e"] c = ["001","002","003"] And I want to create new another list that was mixed from all possible case of a,b,c like this d = ["1a001","1a002","1a003",...,"4e003"] Is there any module or method to generate d without write many for loop?

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  • Sql case that will use a current table

    - by Dana Ezer
    I have an sql statement that returns this result below,and I want that the num will drag the latest(by date) num that is not null. I can't get it right. I want to add somthing like this: case when num is null then max(num where date<my_date) my result now: Date num 1.1 0 2.1 1 3.1 NULL 4.1 NULL 5.1 4 what I want: Date num 1.1 0 2.1 1 3.1 1 4.1 1 5.1 4

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  • mysql custom sorting first alpha then numeric using case when

    - by Nizzy
    How can you sort a query using ORDER BY CASE WHEN REGEXP? or other alternatives? I don't want to use UNION. Thank you mysql> SELECT `floor_id`, `floor_number` FROM `floors`; +----------+--------------+ | floor_id | floor_number | +----------+--------------+ | 1 | 4 | | 2 | 7 | | 3 | G | | 4 | 19 | | 5 | B | | 6 | 3 | | 7 | A | +----------+--------------+ Expected result: +----------+--------------+ | floor_id | floor_number | +----------+--------------+ | 7 | A | | 5 | B | | 3 | G | | 6 | 3 | | 1 | 4 | | 2 | 7 | | 4 | 19 | +----------+--------------+

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  • MySQL: Use CASE/ELSE value as join parameter

    - by DRJ
    I'm trying to join the NAME and PHOTO from USERS table to the TRANSACTIONS table based on who is the payer or payee. It keeps telling me can't find the table this -- What am I doing wrong? SELECT name,photo,amount,comment, ( CASE payer_id WHEN 72823 THEN payee_id ELSE payer_id END ) AS this FROM transactions RIGHT JOIN users ON (users.id=this) WHERE payee_id=72823 OR payer_id=72823

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  • Swapping switch-case in extra fle/data structure (Java)

    - by poeschlorn
    Hi guys, it may be a nooby question, but I've never needed it before: I have several strings and I want to compare them to given ones... At first glance it would lead to a switch/case construction in what every available entry is checked. Is there a more elegant way to swap those strings as key/value datas? greets, poeschlorn

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  • Oracle Data Mining a Star Schema: Telco Churn Case Study

    - by charlie.berger
    There is a complete and detailed Telco Churn case study "How to" Blog Series just posted by Ari Mozes, ODM Dev. Manager.  In it, Ari provides detailed guidance in how to leverage various strengths of Oracle Data Mining including the ability to: mine Star Schemas and join tables and views together to obtain a complete 360 degree view of a customer combine transactional data e.g. call record detail (CDR) data, etc. define complex data transformation, model build and model deploy analytical methodologies inside the Database  His blog is posted in a multi-part series.  Below are some opening excerpts for the first 3 blog entries.  This is an excellent resource for any novice to skilled data miner who wants to gain competitive advantage by mining their data inside the Oracle Database.  Many thanks Ari! Mining a Star Schema: Telco Churn Case Study (1 of 3) One of the strengths of Oracle Data Mining is the ability to mine star schemas with minimal effort.  Star schemas are commonly used in relational databases, and they often contain rich data with interesting patterns.  While dimension tables may contain interesting demographics, fact tables will often contain user behavior, such as phone usage or purchase patterns.  Both of these aspects - demographics and usage patterns - can provide insight into behavior.Churn is a critical problem in the telecommunications industry, and companies go to great lengths to reduce the churn of their customer base.  One case study1 describes a telecommunications scenario involving understanding, and identification of, churn, where the underlying data is present in a star schema.  That case study is a good example for demonstrating just how natural it is for Oracle Data Mining to analyze a star schema, so it will be used as the basis for this series of posts...... Mining a Star Schema: Telco Churn Case Study (2 of 3) This post will follow the transformation steps as described in the case study, but will use Oracle SQL as the means for preparing data.  Please see the previous post for background material, including links to the case study and to scripts that can be used to replicate the stages in these posts.1) Handling missing values for call data recordsThe CDR_T table records the number of phone minutes used by a customer per month and per call type (tariff).  For example, the table may contain one record corresponding to the number of peak (call type) minutes in January for a specific customer, and another record associated with international calls in March for the same customer.  This table is likely to be fairly dense (most type-month combinations for a given customer will be present) due to the coarse level of aggregation, but there may be some missing values.  Missing entries may occur for a number of reasons: the customer made no calls of a particular type in a particular month, the customer switched providers during the timeframe, or perhaps there is a data entry problem.  In the first situation, the correct interpretation of a missing entry would be to assume that the number of minutes for the type-month combination is zero.  In the other situations, it is not appropriate to assume zero, but rather derive some representative value to replace the missing entries.  The referenced case study takes the latter approach.  The data is segmented by customer and call type, and within a given customer-call type combination, an average number of minutes is computed and used as a replacement value.In SQL, we need to generate additional rows for the missing entries and populate those rows with appropriate values.  To generate the missing rows, Oracle's partition outer join feature is a perfect fit.  select cust_id, cdre.tariff, cdre.month, minsfrom cdr_t cdr partition by (cust_id) right outer join     (select distinct tariff, month from cdr_t) cdre     on (cdr.month = cdre.month and cdr.tariff = cdre.tariff);   ....... Mining a Star Schema: Telco Churn Case Study (3 of 3) Now that the "difficult" work is complete - preparing the data - we can move to building a predictive model to help identify and understand churn.The case study suggests that separate models be built for different customer segments (high, medium, low, and very low value customer groups).  To reduce the data to a single segment, a filter can be applied: create or replace view churn_data_high asselect * from churn_prep where value_band = 'HIGH'; It is simple to take a quick look at the predictive aspects of the data on a univariate basis.  While this does not capture the more complex multi-variate effects as would occur with the full-blown data mining algorithms, it can give a quick feel as to the predictive aspects of the data as well as validate the data preparation steps.  Oracle Data Mining includes a predictive analytics package which enables quick analysis. begin  dbms_predictive_analytics.explain(   'churn_data_high','churn_m6','expl_churn_tab'); end; /select * from expl_churn_tab where rank <= 5 order by rank; ATTRIBUTE_NAME       ATTRIBUTE_SUBNAME EXPLANATORY_VALUE RANK-------------------- ----------------- ----------------- ----------LOS_BAND                                      .069167052          1MINS_PER_TARIFF_MON  PEAK-5                   .034881648          2REV_PER_MON          REV-5                    .034527798          3DROPPED_CALLS                                 .028110322          4MINS_PER_TARIFF_MON  PEAK-4                   .024698149          5From the above results, it is clear that some predictors do contain information to help identify churn (explanatory value > 0).  The strongest uni-variate predictor of churn appears to be the customer's (binned) length of service.  The second strongest churn indicator appears to be the number of peak minutes used in the most recent month.  The subname column contains the interior piece of the DM_NESTED_NUMERICALS column described in the previous post.  By using the object relational approach, many related predictors are included within a single top-level column. .....   NOTE:  These are just EXCERPTS.  Click here to start reading the Oracle Data Mining a Star Schema: Telco Churn Case Study from the beginning.    

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  • Use Case Diagrams - should I create a diagram just for a view business rule?

    - by Periback
    I'm modeling a UCD where I have two actors ( a content producer and a developer).. the content producer is going to create and specify details of a storyboard functionality, and the other actor (developer) will only be able to view this storyboard ( he'll log in the application and read the storyboard to start developing what it says, outside the application..) I'm working on the specification of this storyboard functionality and I'd like to know it would be like a best-practice if I describe something like " actor- developer", "UCD - read scenes of storyboard" . This is the specification of an application I developed for my thesis and they asked me to add some specification...

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  • Django/MySQL - __istartswith not producing case-insensitive query.

    - by TheLizardKing
    I make use of generic views and I am attempting to query my MySQL db (utf8_bin collation) in a case insensitive manor to try to find all my song titles that start with a particular letter. view.py def tracks_by_title(request, starts_with): return object_list( request, queryset = Track.objects.filter(title__istartswith=starts_with), template_name = 'tlkmusic_base/titles_list.html', template_object_name = 'tracks', paginate_by = 25, ) and my urls.py urlpatterns = patterns('tlkmusic.apps.tlkmusic_base.views', (r'^titles/(?P<starts_with>\w)/$', tracks_by_title), ) the query it produces according to the django debug toolbar is: SELECT `tracks`.`id`, `tracks`.`url`, `tracks`.`artist`, `tracks`.`album`, `tracks`.`genre`, `tracks`.`year`, `tracks`.`title`, `tracks`.`comment`, `tracks`.`tracknumber`, `tracks`.`discnumber`, `tracks`.`bitrate`, `tracks`.`length`, `tracks`.`samplerate`, `tracks`.`filesize`, `tracks`.`createdate`, `tracks`.`modifydate` FROM `tracks` WHERE `tracks`.`title` LIKE a% LIMIT 1 specifically this line: WHERE `tracks`.`title` LIKE a% LIMIT 1 Why is it not ILIKE which is what I was expecting by using __istartswith? I am using Django 1.1.1 on Ubuntu.

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  • DB2 CASE Statement

    - by gamerzfuse
    I need to somehow use the CASE syntax (which is beyond me) to affect the database results based on criteria. I have a bunch of royalties in 0.# form (royalty) I have a title ID # (title_id) and I need to show the new increase in royalties so that I can use the data. IF: they have a current royalty of 0.0 - 0.1 = 10% raise IF: they have 0.11 - 0.15 = 20% raise IF: royalty >= 0.16 = 20% raise Any help would be much appreciated. create table royalites ( title_id char(6), lorange integer, hirange integer, royalty decimal(5,2));

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  • Why Switch/Case and not If/Else If?

    - by OB OB
    This question in mainly pointed at C/C++, but I guess other languages are relevant as well. I can't understand why is switch/case still being used instead of if/else if. It seems to me much like using goto's, and results in the same sort of messy code, while the same results could be acheived with if/else if's in a much more organized manner. Still, I see these blocks around quite often. A common place to find them is near a message-loop (WndProc...), whereas these are among the places when they raise the heaviest havoc: variables are shared along the entire block, even when not propriate (and can't be initialized inside it). Extra attention has to be put on not dropping break's, and so on... Personally, I avoid using them, and I wonder wether I'm missing something? Are they more efficient than if/else's? Are they carried on by tradition?

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  • PHP making input from web form case insensitive?

    - by Haskella
    So I have some code here that takes user input from a standard web form: $searchsport = $_POST['sport']; $sportarray = array( "Football" => "Fb01", "Cricket" => "ck32", "Tennis" => "Tn43", ); if(isset($sportarray[$searchsport])){ header("Location: ".$sportarray[$searchsport].".html"); die; } How would I go about modifying this (I think the word is parsing?) to make it case *in*sensitive? For example, I type in "fOoTbAlL" and php will direct me to Fb01.html normally.

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  • CASE + IF MysQL query

    - by terence6
    Problem is as follows. I have a product that can be in one of three categories (defined by category_id). Each category table has category_id field related to category_id in product table. So I have 3 cases. I'm checking If my product.category_id is in table one. If yes, I take some values. If not I check in tables that are left. What can I write In the ELSE section? Can anyone correct my query ? CASE WHEN IF EXISTS(SELECT * FROM table1 WHERE category_id='category_id') THEN SELECT type_id FROM table1 WHERE category_id='category_id'; WHEN IF EXISTS(SELECT * FROM table2 WHERE category_id='category_id') THEN SELECT value_id FROM table2 WHERE category_id='category_id'; WHEN IF EXISTS(SELECT * FROM table3 WHERE category_id='category_id') THEN SELECT group_id FROM table3 WHERE category_id='category_id'; ELSE "dont know what here"; END;

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  • Help with MySQL and CASE WHEN with a range of values

    - by kickdaddy
    I have an accounts table and a records table where accounts have multiple records. I would like to break down the account totals by "count of records" range. i.e. show the breakdown of Count of Records | Count 0-25 | 100 25 - 50 | 122 50 - 100 | 300 etc. I am using the following query, but I can't get it to group by "grp" which is what I want, any help on the best way to modify query? Thanks! SELECT count(*) as ct, CASE WHEN COUNT(*) < 25 THEN '1-25' WHEN COUNT(*) >= 25 < 50 THEN '25-50' WHEN COUNT(*) >= 50 < 100 THEN '50-100' WHEN COUNT(*) >= 100 < 250 THEN '100-250' WHEN COUNT(*) >= 250 < 500 THEN '250-500' WHEN COUNT(*) >= 500 < 1000 THEN '500-1000' ELSE '1000+' END AS grp FROM records r,accounts a WHERE r.account_id=a.id ORDER BY ct

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  • case insensitive highlighting in php

    - by fusion
    i'm using this function to highlight the results from mysql query: function highlightWords($string, $word) { $string = str_replace($word, "<span class='highlight'>".$word."</span>", $string); /*** return the highlighted string ***/ return $string; } .... $cQuote = highlightWords(htmlspecialchars($row['cQuotes']), $search_result); the problem is, if i type in 'good', it will only show my search results with a lower-case 'g'ood and not 'Good'. how do i rectify this?

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  • Excel export displaying '#####...'

    - by Cypher
    I'm trying to export an Excel database into .txt (Tab Delimited), but some of my cells are quite large. When I export into a txt some of the cells are exported as '#######....' which is surprisingly useless. Has this happened to anyone else? Do you know an easy fix? Data from one cell of my column: Accounting, African Studies, Agricultural/Bioresource Engineering, Agricultural Economics, Agricultural Science, Anatomy/Cell Biology, Animal Biology, Animal Science, Anthropology, Applied Zoology, Architecture, Art History, Atmospheric/Oceanic Science, Biochemistry, Biology, Botanical Sciences, Canadian Studies, Chemical Engineering, Chemistry/Bio-Organic/Environmental/Materials,ChurchMusicPerformance, Civil Engineering/Applied Mechanics, Classics, Composition, Computer Engineering,ComputerScience, ContemporaryGerman Studies, Dietetics, Early Music Performance, Earth/Planetary Sciences, East Asian Studies, Economics, Electrical Engineering, English Literature/ Drama/Theatre/Cultural Studies, Entrepreneurship, Environment, Environmental Biology, Finance, Food Science, Foundations of Computing, French Language/Linguistics/Literature/Translation, Geography, Geography/ Urban Systems, German, German Language/Literature/Culture, Hispanic Languages/Literature/Culture,History,Humanistic Studies, Industrial Relations, Information Systems, International Business, International Development Studies, Italian Studies/Medieval/Renaissance, Jazz Performance, Jewish Studies, Keyboard Studies, Kindergarten/Elementary Education, Kindergarten/Elementary Education/Jewish Studies,Kinesiology, Labor/Management Relations, Latin American/Caribbean Studies, Linguistics, Literature/Translation, Management Science, Marketing, Materials Engineering,Mathematics,Mathematics/Statistics,Mechanical Engineering, Microbiology, Microbiology/Immunology, Middle Eastern Studies, Mining Engineering, Music, Music Education, MusicHistory,Music Technology,Music Theory,North American Studies, Nutrition,OperationsManagement,OrganizationalBehavior/Human Resources Management, Performing Arts, Philosophy, Physical Education, Physics, Physiology, Plant Sciences, Political Science, Psychology, Quebec Studies, Religious Studies/Scriptures/Interpretations/World Religions,ResourceConservation,Russian, Science for Teachers,Secondary Education, Secondary Education/Music, Secondary Education/Science, SocialWork, Sociology, Software Engineering, Soil Science, Strategic Management, Teaching of French/English as a Second Language, Theology, Wildlife Biology, Wildlife Resources, Women’s Studies.

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  • Mysql query are case sensitive?

    - by wezzy
    When i set lower_case_table_names = 1 in mysql i know that it converts every table name to lowecase so "myCoolLowerCaseName" becomes "mycoollowercasename". But the question is: queries with camelcase name works ? with a table called mycoollowercasename the query:SELECT * FROM myCoolLowerCaseName works? Thanks

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