diff --git a/README b/README
index 920f6bc..d05e386 100644
--- a/README
+++ b/README
@@ -3,247 +3,3 @@ Hello everyone
 You can watch all my little scripts in C and Perl.
 
 Enjoy !
-
-MANGEZ
-
-SELECT date, SUM(dollars) AS total_dollars,
-	SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS run_dollars,
-	SUM(quantity) AS total_qty,
-	SUM(SUM(quantity)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS run_qty
-	FROM aroma.period a, aroma.sales b, aroma.product c
-	WHERE a.perkey = b.perkey
-	AND c.prodkey = b.prodkey
-	AND c.classkey = b.classkey
-	AND year = 2006
-	AND month = 'JAN'
-	AND prod_name = 'Aroma Roma'
-GROUP BY date
-ORDER BY date;
-
-
-SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) 
-
-OVER = OLAP aggregation function
-
-MOVING Average = moyenne sur quelques jours pour faire une courbe de la moyenne (moins en dents de scie)
-
-
-SELECT date, SUM(dollars) AS total_dollars,
-	SUM(SUM(dollars)) OVER(PARTITION BY week ORDER BY date
-	ROWS UNBOUNDED PRECEDING) AS run_dollars,
-	SUM(quantity) AS total_qty,
-	SUM(SUM(quantity)) OVER(PARTITION BY week ORDER BY date
-	ROWS UNBOUNDED PRECEDING) AS run_qty
-	FROM aroma.period a, aroma.sales b, aroma.product c
-	WHERE a.perkey = b.perkey
-	AND c.prodkey = b.prodkey
-	AND c.classkey = b.classkey
-	AND year = 2006
-	AND month = 'JAN'
-	AND prod_name = 'Aroma Roma'
-GROUP BY week, date
-ORDER BY week, date;
-
-PARTITION BY week = Faire la somme mais par semaine
-
-
-SELECT date, SUM(dollars) AS total_dollars,
-	SUM(SUM(dollars)) OVER (PARTITION BY week ORDER BY date
-	ROWS UNBOUNDED PRECEDING) AS run_dollars,
-	SUM(quantity) AS total_qty,
-	SUM(SUM(quantity)) OVER(PARTITION BY week ORDER BY date
-	ROWS UNBOUNDED PRECEDING) AS run_qty, week
-	FROM aroma.period a, aroma.sales b, aroma.product c
-	WHERE a.perkey = b.perkey
-	AND c.prodkey = b.prodkey
-	AND c.classkey = b.classkey
-	AND year = 2006
-	AND month = 'JAN'
-	AND prod_name = 'Aroma Roma'
-GROUP BY week, date
-ORDER BY week, date;
-
-
-SELECT prod_name, SUM(dollars) AS total_sales, SUM(quantity) AS total_qty,
-	DEC(sum(dollars)/sum(quantity), 7, 2) AS price
-	FROM aroma.product a, aroma.sales b, aroma.period c
-	WHERE a.prodkey = b.prodkey
-	AND a.classkey = b.classkey
-	AND c.perkey = b.perkey
-	AND year = 2004
-GROUP BY prod_name
-ORDER BY price;
-
-dec(sum(dollars)/sum(quantity), 7, 2) AS price
-
-
-SELECT t1.date, sales_cume_west, sales_cume_south,
-	sales_cume_west - sales_cume_south AS west_vs_south
-	FROM
-	(SELECT date, SUM(dollars) AS total_sales,
-	SUM(SUM(dollars)) OVER(ORDER BY date
-	ROWS UNBOUNDED PRECEDING) AS sales_cume_west
-	FROM aroma.market a,
-	aroma.store b,
-	aroma.sales c,
-	aroma.period d
-	WHERE a.mktkey = b.mktkey
-	AND b.storekey = c.storekey
-	AND d.perkey = c.perkey
-	AND year = 2006
-	AND month = 'MAR'
-	AND region = 'West'
-	GROUP BY date) AS t1
-	JOIN 
-	(SELECT date, SUM(dollars) AS total_sales,
-	SUM(SUM(dollars)) OVER(ORDER BY date ROWS UNBOUNDED PRECEDING) AS sales_cume_south
-	FROM aroma.market a,
-	aroma.store b,
-	aroma.sales c,
-	aroma.period d
-	WHERE a.mktkey = b.mktkey
-	AND b.storekey = c.storekey
-	AND d.perkey = c.perkey
-	AND year = 2006
-	AND month = 'MAR'
-	AND region = 'South'
-	GROUP BY date) AS t2
-ON t1.date = t2.date
-ORDER BY date;
-
-
-
-
-SELECT city, week, SUM(dollars) AS sales,
-	DEC(AVG(SUM(dollars)) OVER(partition by city
-	ORDER BY city, week ROWS 2 PRECEDING),7,2) AS mov_avg,
-	SUM(SUM(dollars)) OVER(PARTITION BY city
-	ORDER BY week ROWS unbounded PRECEDING) AS run_sales
-	FROM aroma.store a,
-	aroma.sales b,
-	aroma.period c
-	WHERE a.storekey = b.storekey
-	AND c.perkey = b.perkey
-	AND qtr = 'Q3_05'
-	AND city IN ('San Jose', 'Miami')
-GROUP BY city, week;
-
-
-ROWS n PRECEDING (ou on peut aussi dire : FOLLOWING )
-
-
-
-SELECT date, SUM(quantity) AS day_qty,
-	DEC(SUM(SUM(quantity)) OVER(ORDER BY date
-	ROWS 6 PRECEDING),7,2) AS mov_sum
-	FROM aroma.sales a, aroma.period b, aroma.product c
-	WHERE b.perkey = a.perkey
-	AND c.classkey = a.classkey
-	AND c.prodkey = a.prodkey
-	AND year = 2006
-	AND month = 'MAR'
-	AND prod_name = 'Demitasse Ms'
-GROUP BY date
-ORDER BY date;
-
-REPONSES :
-
-# Total du montant des ventes par catégorie
-
-select c.class_type, sum(s.dollars) as total
-from aroma.class c, aroma.sales s, aroma.product p
-where c.classkey = p.classkey
-and p.prodkey = s.prodkey
-and p.classkey = s.classkey
-group by c.class_type
-order by total desc
-
-# Pourcentage du montant des ventes de chaque catégorie
-
-select c.class_type, dec(100*sum(s.dollars)/(select sum(dollars) from aroma.sales),7,0) as part
-from aroma.class c, aroma.sales s, aroma.product p
-where c.classkey = p.classkey
-and p.prodkey = s.prodkey
-and p.classkey = s.classkey
-group by c.class_type
-order by part desc
-
-# Classement des ventes par classes de produit
-
-select c.class_type, dec(100*sum(s.dollars)/(select sum(dollars) from aroma.sales),7,0) as part, rank() over(order by sum(s.dollars) desc) as rang
-from aroma.class c, aroma.sales s, aroma.product p
-where c.classkey = p.classkey
-and p.prodkey = s.prodkey
-and p.classkey = s.classkey
-group by c.class_type
-order by part desc
-
-# Produit le plus vendu, pourcentage correspondant
-
-select p.prodkey, p.classkey, p.prod_name, p.pkg_type, dec(100*sum(s.dollars)/(select sum(dollars) from aroma.sales),7,0) as part
-from aroma.sales s, aroma.product p
-where p.prodkey = s.prodkey
-and p.classkey = s.classkey
-group by p.prodkey, p.classkey, p.prod_name, p.pkg_type
-order by part desc²
-
-# Montant des ventes des produits par semaine
-
-select p.prodkey, p.classkey, p.prod_name, p.pkg_type, t.week, sum(s.dollars) as montant
-from aroma.sales s, aroma.product p, aroma.period t
-where p.prodkey = s.prodkey
-and p.classkey = s.classkey
-and s.perkey = t.perkey
-group by p.prodkey, p.classkey, p.prod_name, p.pkg_type,t.week
-order by t.week
-
-# Classement des produits par montant des ventes décroissant pour chaque semaine
-
-select p.prodkey, p.classkey, p.prod_name, p.pkg_type, t.week, sum(s.dollars) as montant, rank() over(partition by week order by week, sum(s.dollars) desc) as rang
-from aroma.sales s, aroma.product p, aroma.period t
-where p.prodkey = s.prodkey
-and p.classkey = s.classkey
-and s.perkey = t.perkey
-group by p.prodkey, p.classkey, p.prod_name, p.pkg_type,t.week
-order by t.week, rang
-
-# Classement moyen des produits en vente hebdomadaire
-
-select t.prodkey, t.classkey, t.prod_name, t.pkg_type, avg(rang) as rang_moyen
-from (select p.prodkey, p.classkey, p.prod_name, p.pkg_type, t.week, sum(s.dollars) as montant, rank() over(partition by week order by week, sum(s.dollars) desc) as rang
-from aroma.sales s, aroma.product p, aroma.period t
-where p.prodkey = s.prodkey
-and p.classkey = s.classkey
-and s.perkey = t.perkey
-group by p.prodkey, p.classkey, p.prod_name, p.pkg_type,t.week
-order by t.week, rang) as t(prodkey,classkey,prod_name,pkg_type,week,montant,rang)
-group by t.prodkey,t.classkey, t.prod_name, t.pkg_type
-
-# Montant moyen des ventes par jour de la semaine
-
-select ti.day, avg(ti.montant) as moyenne
-from (select t.day,sum(dollars)
-  from aroma.sales s, aroma.period t
-  where s.perkey = t.perkey
-  group by t.perkey,t.day) as ti(day,montant)
-group by ti.day
-order by moyenne desc
-
-
-MES REPONSES
-
-select c.class_type, SUM(s.dollars) as total
-	from aroma.class c, aroma.sales s, aroma.product p
-	where c.classkey = p.classkey 
-	and p.classkey = s.classkey
-	and p.prodkey = s.prodkey
-	group by c.class_type
-	order by total desc
-
-
-select c.class_type, dec(100*sum(s.dollars)/(select sum(dollars) from aroma.sales), 7,0)
-	from aroma.class c, aroma.product p, aroma.sales s
-	where c.classkey = p.classkey
-	and p.classkey = s.classkey
-	and p.prodkey = s.prodkey
-	group by c.class_type;