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What are some of the different types of charts in Excel?

There are many different types of charts in Excel. Some of the most common chart types are:

• Column Chart

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Menu in Excel

How to use learnvern, quick access toolbar, formula bar in excel, status bar in ms excel, navigation in ms excel, shortcuts in ms excel, format painter in ms excel, data entry in ms excel, autofill in ms excel, data entry for date-time in ms excel, undo-redo in ms excel, comments in ms excel, saving file in ms excel.

Creating Formulas

Creating Formula in MS Excel

Copy formula in excel, till date formula in ms excel, pct calculation in ms excel, absolute in ms excel, sum average in ms excel, other common functions in ms excel, formatting fonts in ms excel, adjusting rows & columns in ms excel, alignment in ms excel, formatting borders in ms excel, formatting numbers in ms excel, formatting date-time in ms excel, conditional formating in ms excel, formatting tables in ms excel, formatting shapes in ms excel.

Adjusting Layout

Resizing Row & Column in MS Excel

Hide-unhide row and column in ms excel, copy, move, insert data in ms excel, find replace in ms excel, printing in ms excel, page break preview in ms excel, page setup in ms excel, creating charts in ms excel, types of chart in ms excel, formatting charts in ms excel, chart elements in ms excel, sparklines in ms excel.

Adjusting Workbook

Freezing Workbook in MS Excel

Splitting sheets in ms excel, outline in ms excel.

Multiple work books

Manage Multiple Workbook in MS Excel

Working with sheets in ms excel, copy & delete sheets in ms excel, use of formula in worksheet, edit links in ms excel.

If condition VLOOKUP

If Condition in MS Excel

Vlookup in ms excel, vlookup exact in ms excel, countif in ms excel.

Protecting sheets

Protecting Sheets in MS Excel

Securing workbook in ms excel, password to workbook in ms excel, sharing workbook in ms excel, track changes in ms excel.

Data Management

Sorting in MS Excel

Subtotals in ms excel, filter in ms excel, split data in ms excel, flash fill in ms excel, remove duplicate in ms excel, data validation in ms excel.

Pivot Table

Creating Pivot Table in MS Excel

Manipulating pivot table in ms excel, adding slicers in ms excel, other grouping of pivot table in ms excel, macro in ms excel, excel assignment q-1, excel assignment q-2, excel assignment q-3, excel assignment q-4, excel assignment q-6, excel assignment q-7, excel assignment q-8, excel assignment q-9, excel assignment q-10, enjoying this course.

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10 Beginner SQL Practice Exercises With Solutions

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• sql practice

Table of Contents

The Dataset

Exercise 1: selecting all columns from a table, exercise 2: selecting a few columns from a table, exercise 3: selecting a few columns and filtering numeric data in where, exercise 4: selecting a few columns and filtering text data in where, exercise 5: selecting a few columns and filtering data using two conditions in where, exercise 6: filtering data using where and sorting the output, exercise 7: grouping data by one column, exercise 8: grouping data by multiple columns, exercise 9: filtering data after grouping, exercise 10: selecting columns from two tables, that was fun now, time to do sql practice on your own.

Solve these ten SQL practice problems and test where you stand with your SQL knowledge!

This article is all about SQL practice. It’s the best way to learn SQL. We show you ten SQL practice exercises where you need to apply essential SQL concepts. If you’re an SQL rookie, no need to worry – these examples are for beginners.

Use them as a practice or a way to learn new SQL concepts. For more theoretical background and (even more!) exercises, there’s our interactive SQL Basics course. It teaches you how to select data from one or more tables, aggregate and group data, write subqueries, and use set operations. The course comprises 129 interactive exercises so there is no lack of opportunities for SQL practice, especially if you add some of the 12 ways of learning SQL online to it.

Speaking of practice, let’s start with our exercises!

The question is always where to find data for practicing SQL. We’ll use our dataset for all exercises. No need to limit yourself to this, though – you can find other free online datasets for practicing SQL .

Our dataset consists of two tables.

The table distribution_companies lists movie distribution companies with the following columns:

• id – The ID of the distribution company. This is the primary key of the table.
• company_name – The name of the distribution company.

The table is shown below.

The second table is movies . These are the columns:

• id – The ID of the movie. This is the primary key of the table.
• movie_title – The movie title.
• imdb_rating – The movie rating on IMDb.
• year_released – The year the movie was released.
• budget – The budget for the movie in millions of dollars.
• box_office – The earnings of the movie in millions of dollars.
• distribution_company_id – The ID of the distribution company, referencing the table distribution_companies (foreign key).
• language – The language(s) spoken in the movie.

Exercise: Select all data from the table distribution_companies .

Solution explanation: Select the data using the SELECT statement. To select all the columns, use an asterisk ( * ). The table from which the data is selected is specified in the FROM clause.

Solution output:

Exercise: For each movie, select the movie title, the IMDb rating, and the year the movie was released.

Solution explanation: List all the columns needed ( movie_title , imdb_rating , and year_released ) in the SELECT statement, separated by the comma. Reference the table movies in the FROM clause.

Exercise: Select the columns movie_title and box_office from the table movies . Show only movies with earnings above $300 million.

Solution explanation: List the columns in SELECT and reference the table in FROM . Use a WHERE clause to filter the data – write the column box_office and use the ‘greater than’ operator ( > ) to show only values above $300 million.

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies that have the word ‘Godfather’ in the title.

Solution explanation: List the columns in SELECT and reference the table in the FROM clause. Use a WHERE clause to filter the data. After writing the column name, use the LIKE logical operator to look for ‘Godfather’ in the movie title, written in single quotes. To find the word anywhere in the movie title, place the wildcard character ( % ) before and after the word.

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies that were released before 2001 and had a rating above 9.

Solution explanation: List the columns in SELECT and reference the table in FROM . Set the first condition that the year released is before 2001 using the ‘less than’ ( < ) operator. To add another condition, use the AND logical operator. Use the same logic as the first condition, this time using the ‘greater than’ operator with the column imdb_rating .

Exercise: Select the columns movie_title , imdb_rating , and year_released from the table movies . Show movies released after 1991. Sort the output by the year released in ascending order.

Solution explanation: List the columns in SELECT and reference the table in FROM . Filter the data with WHERE by applying the ‘greater than’ operator to the column year_released . To sort the data, use an ORDER BY clause and write the column name by which you wish to sort. The type of sorting is specified by writing ASC (ascending) or DESC (descending). If the type is omitted, the output is sorted in ascending order by default.

Exercise: Show the count of movies per each language category.

Solution explanation: Select the column language from the table movies . To count the number of movies, use the aggregate function COUNT() . Use the asterisk ( * ) to count the rows, which equals the count of movies. To give this column a name, use the AS keyword followed by the desired name. To show the count by language, you need to group the data by it, so write the column language in the GROUP BY clause.

Exercise: Show the count of movies by year released and language. Sort results by the release date in ascending order.

Solution explanation: List the columns year_released and language from the table movies in SELECT . Use COUNT(*) to count the number of movies and give this column a name using the AS keyword. Specify the columns by which you want to group in the GROUP BY clause. Separate each column name with a comma. Sort the output using ORDER BY with the column year_released and the ASC keyword.

Exercise: Show the languages spoken and the average movie budget by language category. Show only the languages with an average budget above $50 million.

Solution explanation: Select the column language from the table movies . To compute the average budget, use the aggregate function AVG() with the column budget in parentheses. Name the column in the output by using the AS keyword. Group the data by rating using GROUP BY . To filter the data after grouping, use a HAVING clause. In it, use the same AVG() construct as in SELECT and set the values to be above 50 using the ‘greater than’ operator.

Exercise: Show movie titles from the table movies , each with the name of its distribution company.

Solution explanation: List the columns movie_title and company_name in SELECT . In the FROM clause, reference the table distribution_companies . Give it an alias dc to shorten its name for use later. The AS keyword is omitted here; you may use it if you wish. To access the data from the other table, use JOIN (it may also be written as INNER JOIN ) and write the table name after it. Give this table an alias also. The join used here is an inner type of join; it returns only the rows that match the joining condition specified in the ON clause. The tables are joined where the column id from the table distribution_companies is equal to the column distribution_company_id from the table movies . To specify which column is from which table, use the corresponding alias of each table.

These ten SQL practice exercises give you a taste of what practicing SQL looks like. Whether you are at the beginner, intermediate, or advanced level, it’s the same. What changes is the complexity of the problems you solve and of the code you write.

Look for more challenges in the SQL Basics course and the Monthly SQL Practice track. Both are excellent for your SQL practice online. This is true, especially if you do not have an opportunity to use SQL on a daily basis in your job.

So, don’t try to test how long it takes to forget what you once knew in SQL! Use every opportunity to solve as many SQL practice problems as possible.

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How do you insert a pie chart to represent temperature value in cell B10 to M10

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Write the function to calculate the average of cell B10 to M18

Choose one device that you own and use - a laptop, tablet or smartphone.

Calculate the total costs of ownership (TCO) for the selected device including:

Purchasing costs of hardware

Purchasing costs or software subscription fee

Operating costs (hours spent on managing IT, e.g. upgrades, fixes, troubleshooting, searching for new software, learning with new programs, providing IT support to others)

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When convering amount of time to money, consider average hourly gross wage 200 CZK (around 7 EUR).

Calculate overall TCO and annual TCO.

Design a worksheet in MS Excel to implement Naive Bayes Classifier. The worksheet shall

include the following:

• It should allow users to create and store training data tuples. Let the attributes in the

tuples be nominal and output labels belong to one among ‘K’ classes.

• It should compute “K’ class aprioi probabilities.

• It should compute class conditional probabilities of each attribute taking values from

the set of values

• it should utilize these computed class conditional probabilities to classify

future/unknown data tuples based on MAP criterion.Please refer to the table given below. It has four nominal attributes viz. Weather, temperature,

Humidity and Wind. Let the output variable be Play which would take two values either ‘Yes’

or ‘No’ i.e. K = 2.

Design a worksheet in MS Excel to implement Decision Tree Classifier. The worksheet shall

• It should compute one of the following measures to decide an attribute to be used for

splitting the data tuples.

◦ Information gain

◦ Gain ratio

◦ Gini index

• It should split data tuples under consideration into multiple subsets based on the

selected attribute that maximizes the measure used and depending on number of

values the selected attribute would take.

• Repetition of the above steps of computing the measure to split further and continue

until a suitable stopping criteria is met.

The Unilever Company plans to allocate some or all of its monthly advertising budget of GH¢82,000 in the Mankato area. It can purchase local radio spots at GH¢120 per spot, local TV spots at GH¢600 per spot, and local newspaper advertising at GH¢220 per insertion.

The company's policy requirements specify that the company must spend at least GH¢40,000 on TV and allow monthly newspaper expenditures up to GH¢60,000.

The payoff from each advertising medium is a function of the size of its audience. The general experience of the firm is that the values of insertions and spots in terms of "audience points" (arbitrary unit), are as given below:

Radio 40 audience points per spot

TV 180 audience points per spot

Newspapers 320 audience points per insertion

(a) Formulate a linear programming model for this problem.

(b) Use solver to find optimal solution and sensitivity report.

On the Loan worksheet, in cell C9, enter a PMT function to calculate the monthly payment for the

Altamonte Springs 2018 facilities loan. Ensure that the function returns a positive value and set

the references to cells B5 and B6 as absolute references.

Grandpa John gives his kids Christmas gifts, but only if they are younger than 18.Write IF function to check who’s eligible for Christmas gifts this year. Return “Yes” if he/she is eligible, and “No” if he/she is not.

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