Sports database design

Excel database files make it easy to enter, store, and find specific information. Whether it's a personal list of phone numbers, a contact list for an organization, or a collection of coins, Microsoft Excel has built-in tools to keep track of data and find specific information.

The basic format for storing data in an Excel database is a table.

sports database design

Once a table has been created, use Excel's data tools to search, sort, and filter records in the database to find specific information. When entering the data, it is important to ensure that it is entered correctly.

Other than row 2 between the spreadsheet title and the column headings, do not leave any other blank rows when entering your data. Also, make sure that you don't leave any empty cells. Data errorscaused by incorrect data entry, are the source of many problems related to data management. If the data is entered correctly in the beginning, the program is more likely to give you back the results you want.

Each individual row of data in a database is known as a record. When entering records keep these guidelines in mind:. While rows in an Excel database are referred to as records, the columns are known as fields.

Each column needs a heading to identify the data it contains. These headings are called field names. Drop-down arrows are added beside each field name and the table rows are formatted in alternating light and dark blue. Once you have created the database, use the tools located under the drop-down arrows beside each field name to sort or filter your data. Database functions are particularly handy when Google Sheets is used to maintain structured data, like a database.

Each database function, Dfunction, computes the corresponding function on a subset of a cell range regarded as a database table. Database functions take three arguments:. The first row in Criteria specifies field names. Every other row in Criteria represents a filter, which is a set of restrictions on the corresponding fields.

Restrictions are described using Query-by-Example notation and includes a value to match or a comparison operator followed by a comparison value. An empty cell means no restriction on the corresponding field. A filter matches a database row if all the filter restrictions the restrictions in the filter's row are met.

A database row record satisfies Criteria if at least one filter matches it. DGET is the only database function that doesn't aggregate values. DGET returns the value of the field specified in the second argument similarly to a VLOOKUP only when exactly one record matches Criteria; otherwise, it returns an error indicating no matches or multiple matches. Tweet Share Email. To follow along with this tutorial, enter the data as it is shown in the image above.

Highlight the two ID's to select them. Drag the fill handle to cell A Do not leave any blank rows in the table. This includes not leaving a blank row between the column headings and the first row of data. A record must contain data about only one specific item.

sports database design

A record must also contain all the data in the database about that item. There can't be information about an item in more than one row. Field names are used to ensure that the data for each record is entered in the same sequence. Data in a column must be entered using the same format.Fans value meaningful commentary between plays. Our sports database boasts statistics and advanced metrics as far back at to provide broadcasters with meaningful observations designed to keep fans engaged.

Get Fast, Efficient Sports Research. Suns TV works effectively to produce high-quality broadcasts with compelling information that engages viewers, and Stats Perform has contributed to its successful run through exceptional services during a nearly decade-long partnership. In addition to in-booth support, the Miami Marlins were seeking an in-depth historical sports database to help provide interesting statistics and trends to support the team media guide and social channels.

This campaign is sent to more thanTwitter followers prior to every game, averaging more than 50 retweets and likes per FishFacts tweet. Interrogate decades worth of detailed sports data to guide broadcast coverage. Find new angles and research your own narratives with ease thanks to deep player, team and competition data. Get in touch with an expert to understand how you can reach and engage with sports fans before, during and after the game.

Content for Coverage. Visual Content. Data Solutions. Sports Video. Coverage Support. Video Media. Research Tools. Data Feeds. Viewer Engagement.

sports database design

Visual Media. Customisable Data. Ultrafast Data. Granular Data.Sign in to post your reply or Sign up for a free account. By using this site, you agree to our updated Privacy Policy and our Terms of Use. Manage your Cookies Settings. Join Now login. Ask Question. Hello everyone, I was just looking for some feedback on my progress on a small project i took up for designing a database for my own little sports store.

Any help would be appreaciated. I'm using MS Access for the visual aspect of the database hoping that it helps. I also built diagrams to solidify the structure.

Right now im not too sure my design will hold up so im looking for maybe some feedback on how well the design is. Thanks for your time and i hope im on track! Oct 29 ' Post Reply. Share this Question.

A Comprehensive Historical Sports Database

Can't read thumbnails. You could just attach your database and also tell us all your business rules. Just showing us the diagram we cannot assume you have all your business rules correct. Agree with mshmyob - the thumbnails are too small to read. Here is a site that has a variety of data models. I've pointed to a typical model of a "store".

You can browse the site and see if there is something more suited to your needs. Also, there is a link to a video describing the modeling process. Hope this is helpful.Keep in touch and stay productive with Teams and Officeeven when you're working remotely. A properly designed database provides you with access to up-to-date, accurate information.

Because a correct design is essential to achieving your goals in working with a database, investing the time required to learn the principles of good design makes sense. In the end, you are much more likely to end up with a database that meets your needs and can easily accommodate change. This article provides guidelines for planning a desktop database. You will learn how to decide what information you need, how to divide that information into the appropriate tables and columns, and how those tables relate to each other.

You should read this article before you create your first desktop database. Many design considerations are different when you design for the Web. This article doesn't discuss Web database application design.

For more information, see the article Build a database to share on the Web. Some database terms to know. What is good database design? The design process. Determining the purpose of your database. Finding and organizing the required information. Dividing the information into tables.

How to Create a Database in Excel

Turning information items into columns. Specifying primary keys. Creating the table relationships. Refining the design. Applying the normalization rules. In a simple database, you might have only one table. For most databases you will need more than one. For example, you might have a table that stores information about products, another table that stores information about orders, and another table with information about customers. Each row is more correctly called a recordand each column, a field.

A record is a meaningful and consistent way to combine information about something. In the Products table, for instance, each row or record would hold information about one product. Each column or field holds some type of information about that product, such as its name or price.

Top of Page. Certain principles guide the database design process. The first principle is that duplicate information also called redundant data is bad, because it wastes space and increases the likelihood of errors and inconsistencies. The second principle is that the correctness and completeness of information is important.

If your database contains incorrect information, any reports that pull information from the database will also contain incorrect information. As a result, any decisions you make that are based on those reports will then be misinformed.Odds Shark has a huge archive of 30 years of NFL point spread data, baseball box score material, and much more that do-it-yourself handicappers can use for free right now. Interest in historical data and odds archives continues to grow as sports handicappers and historians look to the past to try to help them predict the future.

From forward, every box score and stat joined the archive to forge this mammoth database. Other sports have more or less depth of archive. For example, the NBA database is solid with scores, box scores and odds from to present.

The databases were established primarily for betting and contest purposes to give handicappers a huge archive that they could sort through. This allows everyone to search their own angles and find their own trends and not rely on websites that simply display matchup reports and trends without any context. What line do we use in the database? It is intended as a fair, representative line of what bettors would have gotten before game time.

It does not track opening lines or line movesso if you bet the Patriots at -7 on a Tuesday and the line closed at As well, the database also allows you to search for results by teams before or after their bye week. For baseball, the database contains extensive starting pitcher data, so you can find out how Clayton Kershaw has fared in his last 10 starts at home against the San Francisco Giants, or how David Price has performed on the road in his last 10 starts in the month of June.

College sports bettors will find the College Football Database and College Basketball Database both invaluable tools, with the college hoops version adding the extra wrinkle of March Madness results so that you can find out how Duke has fared on the betting lines in its last 10 games in the third round of the NCAA Tournament. Finally, the CFL Database and the WNBA Database give bettors the opportunity to dig up their own trends on a couple of less popular leagues — and find the bankroll-boosting angle.

The handicapping, sports odds information contained on this website is for entertainment purposes only. Please confirm the wagering regulations in your jurisdiction as they vary from state to state, province to province and country to country. Using this information to contravene any law or statute is prohibited. The site is not associated with nor is it endorsed by any professional or collegiate league, association or team. OddsShark does not target an audience under the age of Please visit gambleaware.

Google Tag Manager. Close Menu. Odds Shark Top Sportsbooks 1. Visit operator for details. Sports Databases Overview Interest in historical data and odds archives continues to grow as sports handicappers and historians look to the past to try to help them predict the future.

What Does Mean? What is a Sports Betting Middle?Database Design is a collection of processes that facilitate the designing, development, implementation and maintenance of enterprise data management systems. Properly designed database are easy to maintain, improves data consistency and are cost effective in terms of disk storage space. The database designer decides how the data elements correlate and what data must be stored. The main objectives of database designing are to produce logical and physical designs models of the proposed database system.

The logical model concentrates on the data requirements and the data to be stored independent of physical considerations. It does not concern itself with how the data will be stored or where it will be stored physically.

The physical data design model involves translating the logical design of the database onto physical media using hardware resources and software systems such as database management systems DBMS. In this tutorial, you will learn- Why Database Design is Important?

Database designing is crucial to high performance database system. Notethe genius of a database is in its design. The steps in the development life cycle do not necessary have to be followed religiously in a sequential manner.

On small database systems, the database system development life cycle is usually very simple and does not involve a lot of steps. In order to fully appreciate the above diagram, let's look at the individual components listed in each step. System definition - This stage defines the scope and boundaries of the proposed database system. Database designing Logical model - This stage is concerned with developing a database model based on requirements. The entire design is on paper without any physical implementations or specific DBMS considerations.

Physical model - This stage implements the logical model of the database taking into account the DBMS and physical implementation factors. Implementation Data conversion and loading - this stage is concerned with importing and converting data from the old system into the new database. It checks the database against requirement specifications.

Following is a curated list of 70 SQL Courses for beginners and professionals. Learning SQL is What is SQL? SQL is a language which is used to operate your database.

SQL is the basic language There are many SQL management tools available in the market, and therefore it is challenging to Home Testing.

Must Learn! Big Data. Live Projects.

sports database design

What is Database Design? What is For Loop?DatabasesOffice Apps.

Access 2016 - How to Make a Database - Part 1 - Tables

This third article in the series delves into the database heartland by exploring relational database design. O ne of the best ways to understand the importance of good database design is to start with an all-in-one, flat-file table design and then toss in some sample data to see what happens. You can then modify the design to eliminate the problems, test some more sample data, check for problems, and re-modify, continuing this process until you have a consistent and problem-free design.

Step 2: Test the table with some sample data. When you create sample data, you should see what your table lets you get away with. For instance, nothing prevents us from entering the same name for different students, or different fees for the same activity, so do so.

You should also imagine trying to ask questions about your data and getting answers back essentially querying the data and producing reports. For example, how do I find all the students taking tennis? Step 3: Analyse the data. In this case, we can see a glaring problem in the first field. We need to find a way to identify each student uniquely. Step 4: Modify the design.

We can identify each student uniquely by giving each one a unique ID, a new field that we add, called ID. We scrap the Student field and substitute an ID field. We can use that field to retrieve any specific record. When you create such a key field in a database program, the program will then prevent you from entering duplicate values in this field, safeguarding the uniqueness of each entry.

Using a database program, we can create both table structures and then link them by the common field, ID. With a relational database program such as Microsoft Access or FileMaker, you can create as many tables as your data structure requires. Step 6: Analyse the data. Step 7: Modify the design. We can fix the first four problems by creating a separate record for each activity a student takes, instead of having one record for all the activities a student takes. First we eliminate the Activity 2 and Cost 2 fields.

Then we need to adjust the table structure so we can enter multiple records for each student. To do that, we redefine the key so that it consists of two fields, ID and Activity. As each student can only take an activity once, this combination gives us a unique key for each record. Step 9: Analyse the data. We need to fix these things, which are both problems when it comes to data entry — editing or modifying records.

As well, we should check that other data entry processes, such as adding or deleting records, will function correctly too.



comments

JoJogal

Und es gibt andere Abmeldung?

Leave a Reply

Your email address will not be published. Required fields are marked *