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IT Applications Theory Slideshows
Data Validation By Mark Kelly Vceit.com
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Types Manual Electronic
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Data Validation The step taken after data input.
Ensures data are reasonable. Cannot check for accuracy of data. Helps prevents processing of bad data to create bad information. GIGO = garbage in, garbage out
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Validation E.g. a form says a VCE student was born in England.
Validation can tell it’s reasonable - but it still may be complete rubbish. Another form that says the student was born in is clearly not reasonable.
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What’s reasonable? The main validation checks: Type check Range check
Existence check (or presence check)
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Type check A value should be of the right type Names should be text
Dates should be dd/mm/yyyy format Number of pets should be numeric A photo field should contain a JPG image rather than a spreadsheet A credit card number field rejects the letter “O” typed instead of a zero
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Range check Data should be within a certain range
Kindergarten students’ ages should be between 3 and 6 Number of pets should be >= 0 Data must exist in a limited list of options State of residence must be in (Vic, SA, Qld, WA, ACT, Tas, NT). Sex must be M or F.
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Range check Data must be unique
e.g. a phone number, customer ID Data must be of a minimum, maximum or fixed length e.g. credit card number has 16 digits Data must have a given format E.g. user ID must have 3 letters and 2 digits Date must be in dd-mm-yyyy format
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Existence check Is the data present?
In a pizza delivery list, leaving off the customer’s name may not be vital, but leaving off the address is. Existence check can reject records that lack vital data.
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Warning! Don’t make validation so strict that valid data are rejected.
Data can be unexpected but accurate! kindergarten child could be 8 years old in rare circumstances mandating the entry of a phone number would wrongly reject people with no phone Validation should reject absurd data, not slightly odd data!
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Bad validation American websites that insist on a 5 digit zip code (postcode) – even if you’re not American! Databases that reject addresses with no Street/ Avenue/Road/Lane (etc) value: some addresses don’t have them. Testing for existence in a limited list when the list is not actually limited. (e.g. Title must be one of: Mr, Miss, Mrs, Dr, Sir, Madam’)
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Manual & Electronic Some data needs a human’s common sense to detect unreasonable entries Spelling of names Entry of Adam Sandler in a database of talented actors “Jane Smith” registered as a male Other checks are better done electronically Faster, more accurate to get a database to check for missing ID number values
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Some validation techniques
Check digits Used for numerical data. An extra digit is added to a number which is calculated from the digits. The computer checks this calculation when data are entered, e.g., The ISBN for a book. The last digit is a check digit calculated using a modulus 11 method. Detects mis-typing.
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Some validation techniques
Spelling and grammar check Looks for spelling and grammatical errors. Consistency Checks Checks fields to ensure data in these fields corresponds, e.g., If Title = "Mr.", then Gender = "M".
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To prevent invalid data entry
Drop-down menus or lists Force data to be entered from a pre-made selection States of Australia Months of the year
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Helping users Give examples or advice about expected data formats…
Enter your 10-character rego code (case sensitive) Date (dd/mm/yyyy) __ __ __ __ - __ __ __ __ - __ __ Note how this form clearly indicates which fields are required and which are optional
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Calendar Control Date cannot be invalid since it must be chosen from a set of valid dates Can still be inaccurate however!
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Calendar control helps users
User does not have to guess correct date format expected 23/08/09? ? 23 Aug 09? 08/23/09 (US format)? (Asian format)?
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Calendar control helps organisations
Date data is not ambiguous Does 02/05/06 entered mean: 2 May 2006? 5 Feb 2006? 6 May 2002? A bad date could be prevented with good validation
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Because you’ve been good, here’s a picture you can look at
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Thanks! Vceit.com
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