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MySQL development completed
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‎MySQL Development - Lynda/Datasets/movies_dataset_basic.csv

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title,genre,release_year,director,studio,critics_rating
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Coat Of Mysteries,Children,1901,Julian Fowler,Studio 60,5.5
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Students And Boys,Horror,1903,Julian Fowler,Bix,3.4
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Created By The End,Sci-Fi,1910,Rebecca Adams,Falstead Group,5.9
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Men And Traitors,Sci-Fi,1912,Julian Fowler,Arpeggio Brothers,3.2
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Hunters Of Eternity,Sci-Fi,1913,Ryan Ross,Torchwood,7
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Vanish In The Slaves,Adventure,1914,Violet Wells,Falstead Group,8.8
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Shield Of Dreams,Children,1915,Alexander Moore,Arpeggio Brothers,8
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Bird Of Yesterday,Children,1919,Julian Fowler,Studio 60,3.1
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Opponent Of Fortune,Drama,1919,Steven Spencer,Lionel Brownstone,5
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Descendants And Wives,Adventure,1921,Arthur Evans,Torchwood,6.7
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Present From Petals,Children,1921,Violet Scott,Studio 60,5.4
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Origin Of Nowhere,Sci-Fi,1924,Julian Fowler,Lionel Brownstone,5.7
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Music In The Crypts,Horror,1925,Julian Fowler,Studio 60,6.6
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Extermination Of New Earth,Sci-Fi,1925,Alisa Barrett,Arpeggio Brothers,6.4
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Intelligence In Technolic Advancements,Sci-Fi,1930,Tyler Brooks,Lionel Brownstone,4
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Monsters And Wolves,Horror,1931,Julian Fowler,Lionel Brownstone,9
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Armies Without A Home,Drama,1932,Caroline Watson,Arpeggio Brothers,7.3
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Heirs And Farmers,Drama,1935,Amelia Turner,Torchwood,5.2
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Women And Mercenaries,Sci-Fi,1937,Sarah Adams,Falstead Group,8.4
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Homes Of Remorse,Drama,1938,Sienna Warren,Bix,3.7
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Creation Of Bad News,Drama,1939,Stuart Scott,Arpeggio Brothers,7.7
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Cleaning With The Neighbor,Children,1941,Jared Cooper,Lionel Brownstone,6.5
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Savior Of The End,Adventure,1943,Sophia Baker,Torchwood,4.6
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Perfection Of Rainbows,Adventure,1943,Sophia Baker,Arpeggio Brothers,4.4
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Bunnies In The River,Children,1946,Garry Scott,Lionel Brownstone,9.4
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Students With Black Hair,Horror,1947,Lilianna Mason,Falstead Group,9.8
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Gangsters And Blacksmiths,Adventure,1949,Sophia Baker,Bix,7.2
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Rebels Of The Void,Drama,1949,Garry Scott,Lionel Brownstone,6.8
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Peasant Of Dawn,Drama,1955,Garry Scott,Falstead Group,3.7
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Defiant In The North,Horror,1960,Sophia Baker,Bix,3.6
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Officer Of The Ocean,Sci-Fi,1960,Dominik Nelson,Falstead Group,4.3
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Captured In The Attic,Horror,1962,Sophia Baker,Torchwood,7.9
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Death In The Elements,Drama,1974,Sophia Baker,Falstead Group,4.2
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Spy Of The Sands,Sci-Fi,1980,Marcus Rogers,Falstead Group,6.6
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Supporters And Bearers,Drama,1983,Garry Scott,Studio 60,6.4
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Agent Of Perfection,Adventure,1985,Abigail Payne,Lionel Brownstone,3.1
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Friend Of The Forest,Horror,1986,Elise Harper,Arpeggio Brothers,3.8
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Wizards Of Riddles,Children,1988,Emma Russell,Lionel Brownstone,4.3
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Surprise Without Fear,Adventure,1991,Samantha Clark,Lionel Brownstone,9.8
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Guests In The Cabin,Horror,1992,Stuart Scott,Torchwood,9.8
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Turtles Of Next Year,Adventure,1994,Samantha Clark,Falstead Group,6.4
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Helpless In The Shadows,Horror,1995,Samantha Clark,Bix,5.4
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Tree Behind The Counter,Horror,1998,Miley Watson,Bix,3.2
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Little Girl Of The Sun,Children,2003,Julia Robinson,Falstead Group,8.3
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Starting The East,Drama,2003,Samantha Clark,Studio 60,6.6
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Thieves Of Eternity,Adventure,2012,Thomas Wright,Arpeggio Brothers,3.1
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Little Dragons And Dogs,Children,2012,Edward Wells,Lionel Brownstone,5.6
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Clones Of Honor,Sci-Fi,2014,Alina Morgan,Lionel Brownstone,6
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Cows And Chickens,Children,2017,Miley Watson,Torchwood,6.5
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Blinded By The Ashes,Adventure,2020,Anna Wilson,Lionel Brownstone,9.1

‎MySQL Development - Lynda/Datasets/movies_full_critic_rating.csv

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id,titles_id,critics_rating
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1,50,3.1
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2,49,4.6
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3,48,6.4
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4,47,3.1
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5,46,6.7
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6,45,7.2
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7,44,4.4
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8,43,9.8
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9,42,9.1
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10,41,8.8
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11,40,8.3
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12,39,3.1
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13,38,4.3
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14,37,9.4
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15,36,6.5
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16,35,5.6
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17,34,5.5
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18,33,8
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19,32,5.4
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20,31,6.5
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21,30,5
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22,29,3.7
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23,28,7.3
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24,27,6.8
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25,26,5.2
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26,25,6.4
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27,24,3.7
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28,23,7.7
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29,22,6.6
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30,21,4.2
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31,20,3.2
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32,19,3.8
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33,18,9.8
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34,17,9.8
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35,16,3.4
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36,15,9
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37,14,6.6
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38,13,7.9
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39,12,3.6
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40,11,5.4
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41,10,4.3
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42,9,6.6
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43,8,6.1
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44,7,6
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45,6,8.4
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46,5,3.2
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47,4,5.7
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48,3,6.4
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49,2,5.9
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50,1,4

‎MySQL Development - Lynda/Datasets/movies_full_director.csv

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id,dir_name
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1,Abigail Payne
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27,Aiden Foster
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3,Alina Morgan
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34,Alisa Barrett
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6,Amy Armstrong
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29,Amy Howard
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5,Arthur Evans
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10,Catherine Gibson
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22,Darcy Morgan
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30,Dominik Nelson
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24,Elise Harper
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11,Emma Russell
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25,Hailey Robinson
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19,Henry Murray
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15,Jared Cooper
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9,Julia Robinson
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13,Julian Fowler
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28,Kelvin Martin
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12,Kristian Foster
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26,Lucia Morrison
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18,Paige Watson
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35,Rebecca Adams
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31,Ryan Ross
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23,Ryan Wright
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7,Samantha Clark
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32,Sarah Adams
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20,Sienna Warren
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2,Sophia Baker
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16,Steven Spencer
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21,Stuart Scott
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4,Thomas Wright
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17,Tiana Hunt
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33,Victor Elliott
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14,Violet Scott
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8,Violet Wells

‎MySQL Development - Lynda/Datasets/movies_full_genre.csv

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id,genre
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1,Adventure
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2,Children
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3,Drama
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4,Horror
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5,Sci-Fi

‎MySQL Development - Lynda/Datasets/movies_full_studio.csv

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id,studio_name,city
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1,Lionel Brownstone,London
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2,Torchwood,New York City
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3,Falstead Group,Hollywood
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4,Arpeggio Brothers,Hollywood
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5,Bix,Paris
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6,Studio 60,New York City

‎MySQL Development - Lynda/Datasets/movies_full_titles.csv

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id,title,genre_id,release_year_id,director_id,studio_id
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1,Agent Of Perfection,1,1901,1,1
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2,Savior Of The End,1,1903,2,2
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3,Turtles Of Next Year,1,1910,3,3
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4,Thieves Of Eternity,1,1912,4,4
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5,Descendants And Wives,1,1913,5,2
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6,Gangsters And Blacksmiths,1,1914,3,5
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7,Perfection Of Rainbows,1,1915,6,4
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8,Surprise Without Fear,1,1914,7,1
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9,Blinded By The Ashes,1,1915,4,1
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10,Vanish In The Slaves,1,1919,8,3
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11,Little Girl Of The Sun,2,1921,9,3
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12,Bird Of Yesterday,2,1924,10,6
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13,Wizards Of Riddles,2,1925,11,1
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14,Bunnies In The River,2,1930,12,1
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15,Cows And Chickens,2,1931,3,2
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16,Little Dragons And Dogs,2,1932,1,1
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17,Coat Of Mysteries,2,1935,13,6
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18,Shield Of Dreams,2,1935,3,4
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19,Present From Petals,2,1937,14,6
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20,Cleaning With The Neighbor,2,1938,15,1
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21,Opponent Of Fortune,3,1941,16,1
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22,Peasant Of Dawn,3,1943,17,3
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23,Armies Without A Home,3,1946,3,4
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24,Rebels Of The Void,3,1947,18,1
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25,Heirs And Farmers,3,1949,19,2
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26,Supporters And Bearers,3,1955,1,6
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27,Homes Of Remorse,3,1960,20,5
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28,Creation Of Bad News,3,1962,21,4
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29,Starting The East,3,1974,22,6
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30,Death In The Elements,3,1974,23,3
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31,Tree Behind The Counter,4,1980,4,5
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32,Friend Of The Forest,4,1983,24,4
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33,Guests In The Cabin,4,1983,3,2
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34,Students With Black Hair,4,1985,1,3
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35,Students And Boys,4,1986,25,5
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36,Monsters And Wolves,4,1988,26,1
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37,Music In The Crypts,4,1991,27,6
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38,Captured In The Attic,4,1991,28,2
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39,Defiant In The North,4,1991,29,5
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40,Helpless In The Shadows,4,1992,1,5
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41,Officer Of The Ocean,5,1994,30,3
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42,Spy Of The Sands,5,1994,4,3
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43,Hunters Of Eternity,5,1995,31,2
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44,Clones Of Honor,5,1998,3,1
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45,Women And Mercenaries,5,1998,32,3
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46,Men And Traitors,5,2003,33,4
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47,Origin Of Nowhere,5,2012,4,1
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48,Extermination Of New Earth,5,2014,34,4
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49,Created By The End,5,2017,35,3
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50,Intelligence In Technolic Advancements,5,2020,19,1

‎MySQL Development - Lynda/Datasets/posters_dataset.csv

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titles_id,filename,resolution
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45,WomenAndMercenaries.jpg,800x600
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17,CoatOfMysteries.jpg,240x480
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11,LittleGirlOfTheSun.png,1020x768
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41,OfficerOfTheOcean.jpg,1020x768
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18,ShieldOfDreams.jpg,800x600
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22,PeasantOfDawn.png,1020x768
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7,PerfectionOfRainbows.jpg,1020x768
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4,ThievesOfEternity.png,1020x768
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40,HelplessInTheShadows.png,1020x768
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20,CleaningWithTheNeighbor.jpg,800x600
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13,WizardsOfRiddles.gif,800x600
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44,ClonesOfHonor.png,1020x768
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49,CreatedByTheEnd.gif,800x600
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39,DefiantInTheNorth.jpg,800x600
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8,SurpriseWithoutFear.jpg,800x600
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30,DeathInTheElements.jpg,240x480
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50,IntelligenceInTechAdv.tiff,800x600
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37,MusicInTheCrypts.jpg,800x600
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28,CreationOfBadNews.jpg,1020x768
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19,PresentFromPetals.jpg,240x480
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2,SaviorOfTheEnd.png,800x600
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5,DescendantsAndWives.png,240x480
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24,RebelsOfTheVoid.png,1020x768

‎MySQL Development - Lynda/movies_analysis.sql

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/* Selecting Data */
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SELECT id,IF(critic_rating > 6, 'Good', 'Bad') AS score
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FROM critic_rating;
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SELECT id,
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CASE
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WHEN critic_rating > 8 THEN 'Good'
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WHEN critic_rating > 6 THEN 'Decent'
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ELSE 'Bad'
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END AS score
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FROM critic_rating;
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13+
/* Challenge: Filter movie by score */
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SELECT
15+
t.title AS 'Title:',
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IF (t.release_year > 2000, '21st Century', '20th Century') AS 'Released:',
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d.dir_name AS 'Director:',
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cr.critic_rating,
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CASE
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WHEN cr.critic_rating >= 9 THEN 'Amazing'
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WHEN cr.critic_rating > 7 AND cr.critic_rating < 9 THEN 'Good'
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WHEN cr.critic_rating > 5 AND cr.critic_rating <= 7 THEN 'Decent'
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ELSE 'Bad'
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END AS 'Reviews:'
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FROM titles t
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JOIN director d ON t.director_id = d.id
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JOIN critic_rating cr ON t.id = cr.titles_id
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ORDER BY 1 DESC;
29+
30+
/* Challenge: fixing mistakes */
31+
/* add Rence movies */
32+
INSERT INTO movie_basic(title, genre, release_year, director, studio, critic_rating)
33+
VALUES('Run for the Forest', 'Drama', 1946, 'Rence Pera', 'Lionel Brownstone', 7.3),
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('Luck of the Night', 'Drama', 1951, 'Rence Pera', 'Lionel Brownstone', 6.8),
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('Invader Glory', 'Adventure', 1953, 'Rence Pera', 'Lionel Brownstone', 5.5);
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/* change genre 'sci-fi' to 'sf' for all falsted group flims*/
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SELECT * FROM movie_basic
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WHERE studio LIKE 'Falstead Group';
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UPDATE movie_basic
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SET genre = 'SF'
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WHERE genre = 'Sci-Fi'
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AND studio LIKE 'Falstead Group';
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/* remove all the flims Garry Scott did for Lionel Brownstone as those were lost */
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SELECT * FROM movie_basic
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WHERE director = 'Garry Scott'
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AND studio = 'Lionel Brownstone';
50+
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DELETE
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FROM movie_basic
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WHERE director = 'Garry Scott'
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AND studio = 'Lionel Brownstone';
55+
56+
57+
/* Challenge: Find the best film */
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SELECT t.title, d.dir_name, cr.critic_rating, p.filename
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FROM titles t
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JOIN director d ON t.director_id = d.id
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JOIN critic_rating cr ON t.id = cr.titles_id
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JOIN posters p ON t.id = p.titles_id
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ORDER BY critic_rating DESC
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LIMIT 10;

‎MySQL Development - Lynda/schema_creation.sql

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CREATE DATABASE movies;
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USE movies;
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/* movie basic data */
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CREATE TABLE movie_basic(
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title VARCHAR(100) NOT NULL,
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genre VARCHAR(50) NOT NULL,
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release_year INT NOT NULL,
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director VARCHAR(50) NOT NULL,
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studio VARCHAR(50) NOT NULL,
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critic_rating DECIMAL(2,1) DEFAULT 0
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);
14+
15+
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/* ------------ */
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/* movie genres*/
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CREATE TABLE Genre(
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id INT PRIMARY KEY AUTO_INCREMENT,
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genre VARCHAR(20) NOT NULL
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);
23+
24+
/* movie director */
25+
CREATE TABLE Director(
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id INT PRIMARY KEY AUTO_INCREMENT,
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dir_name VARCHAR(40) NOT NULL
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);
29+
30+
/* movie studio */
31+
CREATE TABLE Studio(
32+
id INT PRIMARY KEY AUTO_INCREMENT,
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studio_name VARCHAR(30) NOT NULL,
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city VARCHAR(50) NOT NULL
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);
36+
37+
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/* movie titles */
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CREATE TABLE Titles(
40+
id INT PRIMARY KEY AUTO_INCREMENT,
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title VARCHAR(100) NOT NULL,
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genre_id INT NOT NULL,
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release_year INT NOT NULL,
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director_id INT NOT NULL,
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studio_id INT NOT NULL,
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FOREIGN KEY(genre_id) REFERENCES Genre(id),
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FOREIGN KEY(director_id) REFERENCES Director(id),
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FOREIGN KEY(studio_id) REFERENCES Studio(id)
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);
50+
51+
/* movie critics rating */
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CREATE TABLE Critic_Rating(
53+
id INT PRIMARY KEY AUTO_INCREMENT,
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titles_id INT NOT NULL,
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critics_rating DECIMAL(2,1) DEFAULT 0,
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FOREIGN KEY(titles_id) REFERENCES titles(id)
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);
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/* posters */
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CREATE TABLE posters(
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titles_id INT NOT NULL,
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filename VARCHAR(100) NOT NULL,
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resolution VARCHAR(20) NOT NULL,
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FOREIGN KEY(titles_id) REFERENCES titles(id)
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);

‎readme.md

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@@ -32,15 +32,15 @@ MySQL data analysis project in helping Flim Rental Store to
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+ etc.
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## [Company Employee - SQL & Tableau Visualization Project](https://github.com/ptyadana/MySQL-Tableau-for-Data-Analytics-and-Business-Intelligence)
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## [Company Employees - SQL & Tableau Visualization Project](https://github.com/ptyadana/MySQL-Tableau-for-Data-Analytics-and-Business-Intelligence)
3636
MySQL & Tableau integration project for analyzing employee data and visualizing the findings across the departments for management including
3737
+ What is breakdown between the male and female employees working in the company each year, starting from 1990?
3838
+ What is the number of male managers to the number of female managers from different departments for each year, starting from 1990?
3939
+ What is the average salary of female versus male employees in the entire company until year 2002? Need to filter out by departments.
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+ etc.
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## [Parch & Posey Company Data-Analysis Project](https://github.com/ptyadana/SQL-for-Data-Analysis-Parch-and-Posey)
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## [Parch & Posey - Data Analysis Project](https://github.com/ptyadana/SQL-for-Data-Analysis-Parch-and-Posey)
4444
PostgreSQL project for helping fictional company called Parch & Posey for
4545
+ managing the Orders,
4646
+ finding out the relationship with different Accounts
@@ -55,7 +55,7 @@ PostgreSQL Data Analysis project to help Chinook Digital Music Store to help how
5555
+ finding out who the best customer is
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+ etc.
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58-
## [Restaurant & Library - Information & Patrons ](SQL%20Code%20Challenges%20-%20Lynda)
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## [Restaurant & Library - Information & Patrons Project](SQL%20Code%20Challenges%20-%20Lynda)
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SQLite project for
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+ **In the Restaurant** - helping the Restaurant to manage customer information, reservations, orders and party invities in for Restaurant 20th Anniversary.
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+ **At the Library** - helping the Library to manage the books statistics, check out and loan process, managing on due loans, encouraging patrons, etc.

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