
Concept explainers
DISTINCTROW Keyword:
The “DISTINCTROW” keyword omits data based entire duplicate records, not like just duplicate fields. The syntax for “DISTINCT” keyword is as follows:
Syntax:
SELECT DISTINCTROWcol_Name FROM table_Name1 INNER JOIN table_Name2 ON table_Name1.col_Name = table_Name2.col_Name ORDER BY table_Name1;
GROUP BY Clause:
The GROUPBY clause is used to group the result of a SELECT statement done on a table where the tuple values are similar for more than one column
Syntax:
SELECT expression1, expression2, expression_n, aggregate_function(expression)FROM table_name WHERE conditions GROUP BY expression1, expression2, expression_n;
SUM function:
The “SUM” function is used to add the value and then return the sum of the expression in a “SELECT” statement.
Syntax:
SELECT SUM (exp) FROM table_Name [WHERE condition];
INNER JOIN keyword:
“INNER JOIN” keyword is used to select all the matching records of both the table.
Syntax:
SELECT col_Name FROM table_Name1 INNER JOIN table_Name2 ON table_Name1.col_Name = table_Name2.col_Name;

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Chapter 7 Solutions
Database Systems: Design Implementation & Management
- [5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}. 2) [12 marks] Consider the following languages over the alphabet ={a ,b}, (i) The language of all words that begin and end an a (ii) The language where every a in a word is immediately followed by at least one b. (a) Express each as a Regular Expression (b) Draw an FA for each language (c) For Language (i), draw a TG using at most 3 states (d) For Language (ii), construct a CFG.arrow_forwardQuestion 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.arrow_forwardGenerate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.arrow_forward
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