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Strathesk

Tuesday, 25 September 2007. Loading Premiership Data into MySQL. MySQL makes it nice and easy to load the CSV files in. First create a table as follows:. Drop table if exists matches;. Create table matches ( matchdate date not null,. Hometeam varchar(25) not null,. Homescore smallint not null,. Awayteam varchar(25) not null,. Awayscore smallint not null. Create index id matches on matches( matchdate, hometeam, awayteam);. It is then easy to load the date in using the load data command:. Order by 1;.

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Tuesday, 25 September 2007. Loading Premiership Data into MySQL. MySQL makes it nice and easy to load the CSV files in. First create a table as follows:. Drop table if exists matches;. Create table matches ( matchdate date not null,. Hometeam varchar(25) not null,. Homescore smallint not null,. Awayteam varchar(25) not null,. Awayscore smallint not null. Create index id matches on matches( matchdate, hometeam, awayteam);. It is then easy to load the date in using the load data command:. Order by 1;.

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Strathesk | strathesk.blogspot.com Reviews

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Tuesday, 25 September 2007. Loading Premiership Data into MySQL. MySQL makes it nice and easy to load the CSV files in. First create a table as follows:. Drop table if exists matches;. Create table matches ( matchdate date not null,. Hometeam varchar(25) not null,. Homescore smallint not null,. Awayteam varchar(25) not null,. Awayscore smallint not null. Create index id matches on matches( matchdate, hometeam, awayteam);. It is then easy to load the date in using the load data command:. Order by 1;.

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Strathesk: Clean Premiership Results

http://strathesk.blogspot.com/2007/09/clean-premiership-results.html

Monday, 24 September 2007. The clean CSV files can be downloaded from the following links:. There is also one zip archive. That contains all of the above files. Who are all credited in the files. Labels: clean premiership result files. Subscribe to: Post Comments (Atom). Loading Premiership Data into MySQL. Checking the premiership results. Getting the football results data. View my complete profile.

2

Strathesk: Correcting team names

http://strathesk.blogspot.com/2007/09/correcting-team-names.html

Monday, 24 September 2007. Due to the number of different authors on the RSSSF. Site we also get a number of different spellings and punctuation associated with team names. Therefore as part of the extraction process I clean the team names so that they are all consistent across years using this following Perl associative array. A Villa" = "Aston Villa", # eng99 page. Blackburn" = "Blackburn Rovers", # eng02 page. Blackburn R" = "Blackburn Rovers", # eng99 page. Bolton" = "Bolton Wanderers", # eng02 page.

3

Strathesk: Predicting Football Results

http://strathesk.blogspot.com/2007/09/predicting-football-results.html

Monday, 24 September 2007. My work involves data analysis and prediction of outcomes for a variety of customers including telecommunications: churn, financial services: up-sell and cross-sell, retailers: spend, spend, spend. So I think a lot about how you can apply data analysis to a number of different problems. In particular if there are large amounts of data then this makes it more intersting. I have been familiar with the rec.sport.soccer.statistics.foundation. Subscribe to: Post Comments (Atom).

4

Strathesk: Checking the premiership results

http://strathesk.blogspot.com/2007/09/checking-premiership-results.html

Monday, 24 September 2007. Checking the premiership results. I decided to load the data from CSV files so that I could do some intermediate checks on the data before loading it. I only did some rudimentary checks on each year separately and then all of the Premiership results together. The checks included:. Counting the total number of matches in the file - should equal (n*n)-n where n is the number of teams in the league - 20 post-1996, 22 prior to that. Labels: checking consistency premiership results.

5

Strathesk: Getting the football results data

http://strathesk.blogspot.com/2007/09/getting-football-results-data.html

Monday, 24 September 2007. Getting the football results data. The first thing I needed to do was to extract the data from the web pages. I wanted to extract the data in a suitable format so that I could load it into a MySQL. Database. MySQL is just a great database, particularly now that they have the administration and query tools. 1992/1994 Michael Heneghan ( bombchucker@hotmail.com. 1994/1995 Michael Heneghan, James Ross, Stephen Mulrine and Rob Monger. 1998/1999 RSSSF ( rsssf-request@isfa2.com. 2005/...

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Tuesday, 25 September 2007. Loading Premiership Data into MySQL. MySQL makes it nice and easy to load the CSV files in. First create a table as follows:. Drop table if exists matches;. Create table matches ( matchdate date not null,. Hometeam varchar(25) not null,. Homescore smallint not null,. Awayteam varchar(25) not null,. Awayscore smallint not null. Create index id matches on matches( matchdate, hometeam, awayteam);. It is then easy to load the date in using the load data command:. Order by 1;.

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