GO PRINT Question 1 Popular Genres ————– We will start with the IMDB database. For each genre, show the total number of shows that are listed in that genre. Format

GO PRINT Question 1 Popular Genres ————– We will start with the IMDB database. For each genre, show the total number of shows that are listed in that genre. Format genre as 15 characters wide. Order in descending order of popularity. Correct results will have 28 rows and will look like this: Genre Count ————— ———– Drama 1183422 Comedy 1049517 Short 670864 Documentary 499078 Talk-Show 452645 Romance 398779 Family 339665 News 338804 Animation 255212 Reality-TV 232633 … Western  25128 War 20984 Film-Noir 852 ‘ + CHAR(10) GO USE IMDB — — [Insert your code here] — GO PRINT Question 2 M*A*S*H ——- For each season of M*A*S*H, show the total number of episodes and total number of votes. Display results ordered by season. Write your query to match the primaryTitle in title_basics instead of hard-coding a tconst value. nt: title_episode.parentTconst is the series, title_episode.tconst is the episode. Episodes have ratings in title_ratings, where the number of votes for the episode is also contained. Correct results will look like this: Season Number Number of Episodes Total Votes by Season ————- —————— ——————— 1 24 8470 2 24 6724 3 24 6383 4 24 5859 5 24 5546 6 24 5092 7 25 5362 8 25 5340 9 20 4177 10 21 4049 11 16  5849 ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT, Question 3 Again Popular Genres ——————– Repeat the query from Question 1, but this time express the popularity as a percentage of the total number of shows. Format the percentage to two decimal places and add a % sign to the end. nt: Start by adding the Total column to the SELECT clause. You”ll need to use a windowed function. If you use … OVER () that will window over the entire contents of the table. Once you have that working, the percent is 100 * the expression that gives you Count / the expression that gives you Total. Use STR to convert that to 6 characters with two digits after the decimal point, then add a % to the end. nt 2: Percent is a reserved keyword in SQL, so you”ll need to quote it if you want to use it as a column name. Correct results will have 28 rows and look like this: Genre Count Total Percent ————— ———– ———– ——- Drama 1183422 7297619 16.22% Comedy 1049517 7297619 14.38% Short 670864 7297619 9.19% Documentary 499078 7297619 6.84% Talk-Show 452645 7297619 6.20% Romance 398779 7297619 5.46% Family 339665 7297619 4.65% News 338804 7297619 4.64% Animation 255212 7297619 3.50% Reality-TV 232633 7297619 3.19% … Western 25128 7297619 0.34% War 20984 7297619 0.29% Film-Noir 852 7297619 0.01% ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT Question 4 Metaphone with the most Variants ——————————– We”re going to switch over to the NAMES database for the next few queries. Produce a report that shows the most popular metaphones for baby names. Include two rows for each metaphone, one for F babies and one for M babies. For each metaphone, show the total number of names that match that metaphone, and the total number of babies that were given those names. Order in descending order by total number of babies, and display the top 10 results. Format Metaphone as 10 characters wide. For practice, do not use the all_data view. Write the correct JOIN instead. Correct results will look like this: Gender Metaphone Total Names Total Babies —— ———- ———– ————————————— M JN 3565 5910583 M JMS 403 4859289 F MR 3499 4835115 M RBRT 410 4755683 M MXL 1520 4641296 M WLM 604 3746134 M TFT 606 3547986 F TN 10004 3276887 F JN 9945 3216270 M RXRT 435 2516670 ‘ + CHAR(10) GO USE NAMES — — [Insert your code here] — GO PRINT Question 5 about John? —————- For the most popular combination of Metaphone with Gender (JN and M), show a list of the most popular names that match the metaphone. Name Total Babies ———- ————————————— John 4712974 Juan 331865 Johnny 305889 Jon 164821 Gene 124121 Johnnie 93336 Jonah 54315 Jean 22359 Jan 21534 Johnie 17265 Gino 11250 Gianni 8071 Joan 5594 … Giani 227 Jony 216 Jauan 190 ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT Question 6 Year-by-Year Popularity for JN —————————— This time, show a breakdown of the popularity of JN names for M babies. Your results should contain 100 rows that look like this: Metaphone Year Total Babies ———- ————————————— ————————————— JN 1915 50983 JN 1916 53675 JN 1917 55877 JN 1918 61148 JN 1919 58457 JN 1920  62319 JN 1921 63521 JN 1922 62980 JN 1923 63395 JN 1924 65348 … JN 2012 21925 JN 2013 21402 JN 2014 21125 ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT Question 7 Corey in the House —————— For all years where the total number of both M and F babies named “Corey” was 100 or more, show the name (formatted as 10 characters wide) along with the year and the total number of babies with that name. Display results in chronological order. Correct results will have 62 rows formatted as: Name Year Total Babies ———- ————————————— ————————————— Corey 1952 117 Corey 1954  161 Corey 1955 271 Corey 1956 313 Corey 1957 285 Corey 1958 336 Corey 1959  351 Corey 1960 347 Corey 1961 450 Corey 1962 485 Corey 1963 484 Corey  1964 501 Corey 1965 544 Corey 1966 513 Corey 1967 512 Corey 1968  1668 Corey 1969 5069 … Corey 2012 895 Corey 2013 889 Corey 2014 818 ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT Question 8 Popular Genres on TV ——————– JOIN the SHOW table to the SCHEDULE table. For each genre, calculate the total minutes spent airing shows in that genre. Let”s switch to the TV database for the last three problems. Then, calculate the total percent of time dedicated to that genre. Show the genre formatted to 20 characters wide, the total number of minutes, and the percentage of minutes. Only include rows where the total number of minutes was 1000 or more. Display in descending order by total minutes. In the case of ties, order alphabetically by genre. nt: Review the hints and your answer to Question 3. Your calculation of the percentage will be similar here. nt 2: Use DATEDIFF(mi, StartTime, EndTime) to get the total number of minutes that a show was on. Total minutes will be the sum of those values for all the shows in a particular genre. Correct results will have 88 rows that look like this: Genre Total Minutes Percent ——————– ————- ——- Special 1257851 14.33% Sports non-event 959388 10.93% Reality 680033 7.75% Children 412604 4.70% Sitcom 393738  4.49% Drama 377146 4.30% Shopping 375642 4.28% Sports event 362470 4.13% Comedy 282608 3.22% Crime drama 247615 2.82% … Baseball 1200 0.01% Collectibles 1200 0.01% Rodeo 1200 0.01% Medical 1100 0.01% ‘ + CHAR(10) GO USE TV — — [Insert your code here] — GO PRINT Question 9 0.4% of TV is SpongeBob SquarePants ———————————– Do the same thing as in the previous query, except group by SeriesNum instead of Genre. This time, only show series where the total minutes is 10,000 or more. Display the Title formatted to be 20 characters wide instead of the genre. Add another column for the total number of episodes aired. Correct results will have 98 rows and look like this: Title Total Minutes Total Episodes Percent ——————– ————- ————– ——- MLB Extra Innings 258240 658 10.06% Paid Programming 218507 7292 8.51% NBA League Pass 103200 215 4.02% MLS Direct Kick 100620 221 3.92% College Football 73575 421 2.86% MLB Baseball 69510 390 2.71% Programa Pagado 54940 1792 2.14% SIGN OFF 43025  119 1.68% SportsCenter 36580 596 1.42% Public Affairs Event 24362 93 0.95% To Be Announced 23770 161 0.93% 2017 U.S. Open Tenni 23520 98 0.92% Law & Order 22727 379 0.88% Forensic Files 22140 738 0.86% … SpongeBob SquarePant 10295 353 0.40% Politics and Public 10186 60 0.40% SEC Now 10080 174 0.39% Keeping Up With the 10080 172 0.39% ‘ + CHAR(10) GO — — [Insert your code here] — GO PRINT Question 10 Everything is Repeats ——————— For the entire schedule, calculate the total number of distinct shows aired and the total number of shows aired. The difference in these two numbers is the total number of repeats. Show all three values as a single row, along with the percentage of shows that are repeats. Note: If you look in the messages pane, you might see a warning like the following: Warning: Null value is eliminated by an aggregate or other SET operation. Eliminate this warning by only including rows where FK_ShowID isn”t NULL. (The results say that 75% of TV is repeats, but it”s even worse than that, because we”re counting the first airing of a show in this 2 week period as an original broadcast, even though many of them are repeats from previous weeks). Correct results should look like this: Distinct Shows Total Shows Repeats Percent of Repeats ————– ———– ———– —————— 35183 138286 103103 74.56% ‘ + CHAR(10) GO — — [Insert your code here] —

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