diff --git a/exercicios/para-casa/dados_vendas.csv b/exercicios/para-casa/dados_vendas.csv
new file mode 100644
index 0000000..c98fa34
--- /dev/null
+++ b/exercicios/para-casa/dados_vendas.csv
@@ -0,0 +1,366 @@
+Data,Categoria,Quantidade_Vendida,Preco_Unitario,Valor_Total
+2023-04-13,Roupas,74,60.43,4471.82
+2023-12-15,Alimentos,83,272.88,22649.04
+2023-09-28,Roupas,17,195.62,3325.54
+2023-04-17,Roupas,85,233.93,19884.05
+2023-03-13,Roupas,78,305.94,23863.32
+2023-07-08,Eletrônicos,73,256.12,18696.760000000002
+2023-01-21,Eletrônicos,1,274.53,274.53
+2023-04-13,Eletrônicos,51,248.32,12664.32
+2023-05-02,Alimentos,45,210.39,9467.55
+2023-08-03,Brinquedos,77,388.22,29892.940000000002
+2023-11-27,Roupas,4,15.98,63.92
+2023-03-29,Roupas,62,303.24,18800.88
+2023-04-10,Alimentos,65,287.1,18661.5
+2023-12-26,Roupas,32,360.93,11549.76
+2023-06-01,Eletrônicos,34,303.52,10319.68
+2023-05-11,Brinquedos,92,415.13,38191.96
+2023-05-30,Livros,95,479.95,45595.25
+2023-11-05,Roupas,72,177.84,12804.48
+2023-09-15,Eletrônicos,39,121.4,4734.6
+2023-12-10,Livros,26,217.56,5656.56
+2023-10-21,Brinquedos,34,151.09,5137.06
+2023-07-11,Livros,54,311.33,16811.82
+2023-10-04,Eletrônicos,3,456.81,1370.43
+2023-06-10,Livros,50,78.17,3908.5
+2023-11-10,Alimentos,12,59.39,712.6800000000001
+2023-01-22,Livros,65,135.45,8804.25
+2023-09-10,Roupas,54,365.79,19752.66
+2023-08-24,Roupas,5,300.55,1502.75
+2023-12-11,Alimentos,94,60.08,5647.5199999999995
+2023-02-18,Eletrônicos,94,460.19,43257.86
+2023-02-28,Roupas,57,397.14,22636.98
+2023-06-19,Brinquedos,17,21.28,361.76
+2023-07-07,Roupas,47,329.17,15470.990000000002
+2023-09-28,Roupas,23,387.91,8921.93
+2023-07-09,Eletrônicos,79,193.47,15284.13
+2023-06-24,Livros,85,43.77,3720.4500000000003
+2023-02-20,Roupas,14,47.89,670.46
+2023-12-30,Alimentos,66,61.08,4031.2799999999997
+2023-02-24,Livros,75,421.82,31636.5
+2023-09-01,Brinquedos,51,456.24,23268.24
+2023-11-16,Eletrônicos,38,70.18,2666.84
+2023-05-11,Brinquedos,64,125.59,8037.76
+2023-11-03,Livros,98,91.11,8928.78
+2023-05-15,Livros,38,101.3,3849.4
+2023-01-21,Livros,50,420.37,21018.5
+2023-11-25,Brinquedos,98,172.75,16929.5
+2023-06-16,Livros,82,162.61,13334.02
+2023-10-01,Brinquedos,30,121.42,3642.6
+2023-03-30,Livros,79,307.87,24321.73
+2023-11-12,Alimentos,91,195.86,17823.260000000002
+2023-01-14,Livros,51,374.68,19108.68
+2023-08-30,Brinquedos,63,110.73,6975.990000000001
+2023-09-22,Roupas,98,396.02,38809.96
+2023-12-12,Livros,52,305.82,15902.64
+2023-02-22,Roupas,38,65.99,2507.62
+2023-12-06,Alimentos,97,213.11,20671.670000000002
+2023-04-02,Eletrônicos,88,433.12,38114.56
+2023-09-21,Alimentos,79,462.25,36517.75
+2023-02-04,Livros,30,238.19,7145.7
+2023-07-25,Roupas,51,245.61,12526.11
+2023-03-22,Roupas,81,460.04,37263.240000000005
+2023-02-19,Brinquedos,5,297.66,1488.3000000000002
+2023-12-26,Roupas,29,26.09,756.61
+2023-01-02,Brinquedos,4,457.25,1829.0
+2023-02-23,Eletrônicos,10,131.63,1316.3
+2023-04-16,Livros,56,293.04,16410.24
+2023-09-17,Brinquedos,17,91.1,1548.6999999999998
+2023-11-06,Eletrônicos,74,26.6,1968.4
+2023-07-10,Roupas,17,162.62,2764.54
+2023-08-06,Roupas,84,392.44,32964.96
+2023-02-13,Eletrônicos,88,146.02,12849.76
+2023-06-11,Roupas,69,117.85,8131.65
+2023-07-21,Eletrônicos,34,114.21,3883.14
+2023-09-27,Brinquedos,6,262.44,1574.6399999999999
+2023-12-17,Brinquedos,53,488.02,25865.059999999998
+2023-10-31,Eletrônicos,66,234.9,15503.4
+2023-09-28,Brinquedos,77,283.08,21797.16
+2023-08-03,Brinquedos,43,431.71,18563.53
+2023-09-09,Brinquedos,75,272.18,20413.5
+2023-07-09,Alimentos,23,100.39,2308.97
+2023-10-23,Livros,55,156.8,8624.0
+2023-08-01,Roupas,80,161.87,12949.6
+2023-07-27,Alimentos,95,204.69,19445.55
+2023-08-25,Brinquedos,75,219.13,16434.75
+2023-12-04,Eletrônicos,16,401.89,6430.24
+2023-02-22,Brinquedos,8,181.2,1449.6
+2023-10-07,Livros,4,239.43,957.72
+2023-08-05,Brinquedos,4,316.24,1264.96
+2023-09-09,Eletrônicos,56,195.09,10925.04
+2023-07-07,Livros,25,419.92,10498.0
+2023-02-10,Brinquedos,67,297.85,19955.95
+2023-06-06,Livros,96,154.08,14791.68
+2023-01-15,Roupas,67,359.89,24112.629999999997
+2023-10-28,Roupas,27,268.55,7250.85
+2023-03-06,Brinquedos,93,271.88,25284.84
+2023-12-11,Livros,32,245.73,7863.36
+2023-11-23,Eletrônicos,50,253.54,12677.0
+2023-01-09,Brinquedos,61,385.02,23486.219999999998
+2023-12-10,Roupas,51,60.46,3083.46
+2023-05-09,Roupas,19,173.84,3302.96
+2023-05-16,Brinquedos,21,47.0,987.0
+2023-03-04,Livros,5,379.09,1895.4499999999998
+2023-05-19,Roupas,82,143.43,11761.26
+2023-03-22,Livros,92,449.74,41376.08
+2023-06-12,Roupas,42,268.02,11256.84
+2023-10-16,Roupas,61,402.37,24544.57
+2023-09-18,Alimentos,22,489.68,10772.960000000001
+2023-08-19,Roupas,21,421.5,8851.5
+2023-02-10,Eletrônicos,70,434.83,30438.1
+2023-01-28,Brinquedos,1,209.91,209.91
+2023-05-15,Brinquedos,5,280.34,1401.6999999999998
+2023-07-20,Livros,12,134.41,1612.92
+2023-11-24,Roupas,90,106.1,9549.0
+2023-09-25,Eletrônicos,46,257.7,11854.199999999999
+2023-02-02,Livros,34,301.57,10253.38
+2023-02-17,Alimentos,49,176.24,8635.76
+2023-03-03,Livros,78,289.03,22544.339999999997
+2023-08-04,Livros,90,444.86,40037.4
+2023-10-20,Roupas,45,282.79,12725.550000000001
+2023-04-09,Alimentos,27,363.2,9806.4
+2023-06-21,Livros,73,404.6,29535.800000000003
+2023-12-26,Eletrônicos,26,494.48,12856.48
+2023-08-02,Eletrônicos,47,305.57,14361.789999999999
+2023-02-04,Brinquedos,86,405.36,34860.96
+2023-08-15,Alimentos,56,481.7,26975.2
+2023-04-11,Alimentos,94,472.76,44439.44
+2023-05-11,Brinquedos,63,79.13,4985.19
+2023-09-14,Livros,48,209.13,10038.24
+2023-01-05,Alimentos,61,168.76,10294.359999999999
+2023-08-06,Eletrônicos,81,52.59,4259.79
+2023-09-12,Eletrônicos,26,320.29,8327.54
+2023-12-25,Roupas,36,370.59,13341.24
+2023-10-10,Alimentos,1,425.58,425.58
+2023-07-26,Livros,8,70.16,561.28
+2023-01-15,Brinquedos,99,439.46,43506.54
+2023-12-12,Brinquedos,52,325.03,16901.559999999998
+2023-02-11,Livros,79,354.93,28039.47
+2023-06-28,Roupas,47,456.21,21441.87
+2023-03-04,Brinquedos,56,316.13,17703.28
+2023-12-18,Alimentos,86,174.57,15013.019999999999
+2023-08-19,Roupas,14,414.3,5800.2
+2023-08-29,Alimentos,90,187.9,16911.0
+2023-02-21,Eletrônicos,28,26.77,749.56
+2023-04-06,Roupas,87,417.02,36280.74
+2023-08-10,Brinquedos,78,179.14,13972.919999999998
+2023-08-19,Roupas,88,389.18,34247.840000000004
+2023-08-25,Roupas,2,187.75,375.5
+2023-05-23,Roupas,26,431.92,11229.92
+2023-06-20,Roupas,14,117.56,1645.8400000000001
+2023-01-29,Alimentos,59,487.53,28764.269999999997
+2023-02-05,Eletrônicos,56,392.08,21956.48
+2023-01-13,Livros,7,65.98,461.86
+2023-06-09,Roupas,3,287.23,861.69
+2023-11-23,Brinquedos,23,492.83,11335.09
+2023-07-06,Roupas,18,240.82,4334.76
+2023-08-31,Brinquedos,38,99.23,3770.7400000000002
+2023-03-27,Alimentos,99,247.54,24506.46
+2023-10-11,Brinquedos,15,261.1,3916.5000000000005
+2023-03-07,Livros,64,373.43,23899.52
+2023-06-19,Eletrônicos,89,352.43,31366.27
+2023-02-14,Brinquedos,28,207.25,5803.0
+2023-03-03,Brinquedos,74,116.83,8645.42
+2023-05-14,Eletrônicos,39,326.08,12717.119999999999
+2023-10-11,Livros,57,216.63,12347.91
+2023-01-28,Roupas,17,74.82,1271.9399999999998
+2023-04-18,Brinquedos,86,451.28,38810.079999999994
+2023-02-13,Eletrônicos,90,348.7,31383.0
+2023-12-06,Alimentos,44,344.76,15169.439999999999
+2023-10-13,Eletrônicos,25,413.07,10326.75
+2023-11-27,Alimentos,17,269.53,4582.009999999999
+2023-05-08,Livros,13,409.38,5321.94
+2023-12-14,Roupas,84,254.06,21341.04
+2023-08-19,Eletrônicos,25,42.92,1073.0
+2023-07-09,Brinquedos,68,208.57,14182.76
+2023-08-13,Livros,10,253.76,2537.6
+2023-10-10,Eletrônicos,67,362.9,24314.3
+2023-05-01,Brinquedos,18,62.22,1119.96
+2023-04-26,Eletrônicos,86,78.61,6760.46
+2023-08-21,Alimentos,34,139.21,4733.14
+2023-09-16,Eletrônicos,8,140.58,1124.64
+2023-12-25,Eletrônicos,40,368.77,14750.8
+2023-07-17,Eletrônicos,83,132.86,11027.380000000001
+2023-05-17,Livros,42,320.22,13449.240000000002
+2023-11-14,Eletrônicos,41,252.19,10339.789999999999
+2023-06-14,Brinquedos,6,290.91,1745.46
+2023-08-13,Alimentos,52,420.67,21874.84
+2023-11-03,Alimentos,26,208.15,5411.900000000001
+2023-08-22,Eletrônicos,64,387.75,24816.0
+2023-06-21,Livros,98,216.8,21246.4
+2023-06-01,Livros,59,183.4,10820.6
+2023-11-11,Brinquedos,56,479.73,26864.88
+2023-06-09,Eletrônicos,59,100.34,5920.06
+2023-04-06,Alimentos,70,54.27,3798.9
+2023-08-21,Livros,33,387.78,12796.74
+2023-06-29,Eletrônicos,53,43.44,2302.3199999999997
+2023-04-23,Livros,22,420.17,9243.74
+2023-11-14,Livros,21,224.22,4708.62
+2023-02-21,Alimentos,70,458.6,32102.0
+2023-09-25,Roupas,70,363.55,25448.5
+2023-10-22,Brinquedos,4,309.1,1236.4
+2023-04-23,Brinquedos,94,475.16,44665.04
+2023-04-11,Alimentos,75,204.36,15327.000000000002
+2023-04-23,Livros,62,477.5,29605.0
+2023-03-22,Eletrônicos,62,76.15,4721.3
+2023-07-06,Livros,94,247.04,23221.76
+2023-04-23,Alimentos,95,142.26,13514.699999999999
+2023-01-02,Brinquedos,24,274.52,6588.48
+2023-05-10,Livros,55,89.39,4916.45
+2023-08-08,Brinquedos,9,422.35,3801.15
+2023-02-23,Eletrônicos,3,424.74,1274.22
+2023-12-09,Brinquedos,31,478.07,14820.17
+2023-08-12,Brinquedos,40,85.79,3431.6000000000004
+2023-08-13,Roupas,36,315.43,11355.48
+2023-05-06,Roupas,24,242.38,5817.12
+2023-05-10,Roupas,95,178.75,16981.25
+2023-02-22,Brinquedos,6,182.25,1093.5
+2023-06-21,Alimentos,66,212.27,14009.820000000002
+2023-08-06,Brinquedos,84,355.41,29854.440000000002
+2023-06-09,Alimentos,92,303.16,27890.72
+2023-07-17,Alimentos,75,235.24,17643.0
+2023-09-04,Roupas,4,47.21,188.84
+2023-11-20,Livros,79,48.11,3800.69
+2023-07-22,Eletrônicos,6,11.15,66.9
+2023-07-03,Roupas,94,484.17,45511.98
+2023-05-03,Roupas,51,12.57,641.07
+2023-09-12,Livros,62,60.52,3752.2400000000002
+2023-10-21,Eletrônicos,57,164.15,9356.550000000001
+2023-10-07,Brinquedos,66,405.64,26772.239999999998
+2023-11-21,Brinquedos,79,481.43,38032.97
+2023-04-08,Roupas,75,397.11,29783.25
+2023-07-17,Eletrônicos,8,348.37,2786.96
+2023-08-28,Roupas,26,265.44,6901.44
+2023-05-24,Alimentos,51,52.49,2676.9900000000002
+2023-04-07,Roupas,45,479.5,21577.5
+2023-07-20,Roupas,44,381.61,16790.84
+2023-05-04,Brinquedos,5,323.09,1615.4499999999998
+2023-07-06,Brinquedos,70,381.93,26735.100000000002
+2023-11-22,Brinquedos,26,364.81,9485.06
+2023-12-15,Alimentos,68,322.24,21912.32
+2023-09-16,Brinquedos,19,490.48,9319.12
+2023-05-28,Eletrônicos,84,452.65,38022.6
+2023-09-09,Livros,97,326.87,31706.39
+2023-12-12,Eletrônicos,20,349.66,6993.200000000001
+2023-05-27,Eletrônicos,12,35.28,423.36
+2023-05-28,Brinquedos,47,338.26,15898.22
+2023-12-18,Livros,1,31.64,31.64
+2023-07-18,Livros,90,298.25,26842.5
+2023-11-04,Livros,14,499.68,6995.52
+2023-05-08,Alimentos,64,282.35,18070.4
+2023-02-08,Brinquedos,38,241.87,9191.06
+2023-12-04,Livros,37,163.3,6042.1
+2023-12-26,Alimentos,11,69.06,759.6600000000001
+2023-05-09,Roupas,77,368.2,28351.399999999998
+2023-09-24,Roupas,3,104.37,313.11
+2023-05-31,Alimentos,33,66.49,2194.1699999999996
+2023-10-25,Alimentos,6,216.66,1299.96
+2023-04-09,Brinquedos,50,399.72,19986.0
+2023-09-20,Brinquedos,10,375.08,3750.7999999999997
+2023-09-09,Roupas,5,36.89,184.45
+2023-05-24,Livros,23,233.02,5359.46
+2023-12-12,Roupas,10,265.99,2659.9
+2023-04-22,Livros,44,325.83,14336.519999999999
+2023-03-01,Livros,2,328.58,657.16
+2023-01-02,Brinquedos,13,188.7,2453.1
+2023-10-31,Eletrônicos,40,284.73,11389.2
+2023-09-11,Eletrônicos,2,245.72,491.44
+2023-05-20,Alimentos,84,443.65,37266.6
+2023-02-06,Brinquedos,65,269.83,17538.95
+2023-06-09,Livros,63,226.11,14244.93
+2023-01-09,Eletrônicos,73,208.2,15198.599999999999
+2023-08-21,Livros,17,290.49,4938.33
+2023-04-09,Eletrônicos,9,403.95,3635.5499999999997
+2023-05-27,Eletrônicos,75,273.82,20536.5
+2023-10-31,Eletrônicos,15,334.21,5013.15
+2023-07-27,Brinquedos,24,371.55,8917.2
+2023-05-11,Roupas,38,264.88,10065.44
+2023-06-01,Livros,35,219.14,7669.9
+2023-02-23,Brinquedos,94,439.57,41319.58
+2023-04-30,Brinquedos,95,214.58,20385.100000000002
+2023-06-10,Brinquedos,49,236.35,11581.15
+2023-04-26,Brinquedos,69,495.27,34173.63
+2023-03-16,Brinquedos,62,10.12,627.4399999999999
+2023-04-23,Alimentos,60,100.88,6052.799999999999
+2023-04-14,Livros,50,198.14,9907.0
+2023-12-06,Brinquedos,78,466.97,36423.66
+2023-09-11,Livros,75,44.31,3323.25
+2023-08-15,Alimentos,9,14.65,131.85
+2023-04-22,Alimentos,34,35.82,1217.88
+2023-04-09,Livros,76,53.39,4057.64
+2023-06-02,Eletrônicos,99,28.42,2813.5800000000004
+2023-12-15,Roupas,35,245.09,8578.15
+2023-12-04,Eletrônicos,1,294.57,294.57
+2023-07-13,Eletrônicos,40,143.13,5725.2
+2023-11-06,Eletrônicos,64,205.16,13130.24
+2023-06-12,Brinquedos,22,54.93,1208.46
+2023-07-27,Alimentos,60,174.82,10489.199999999999
+2023-06-18,Eletrônicos,64,266.03,17025.92
+2023-06-10,Alimentos,93,368.81,34299.33
+2023-03-09,Livros,72,11.64,838.08
+2023-10-16,Roupas,11,238.98,2628.7799999999997
+2023-10-04,Livros,14,155.53,2177.42
+2023-10-31,Livros,60,427.88,25672.8
+2023-05-15,Brinquedos,30,360.62,10818.6
+2023-07-14,Roupas,35,298.66,10453.1
+2023-05-08,Livros,85,145.86,12398.1
+2023-02-02,Livros,37,456.07,16874.59
+2023-06-25,Roupas,5,32.1,160.5
+2023-01-22,Roupas,83,63.64,5282.12
+2023-08-26,Livros,78,201.9,15748.2
+2023-06-07,Roupas,26,70.97,1845.22
+2023-02-07,Livros,62,478.64,29675.68
+2023-08-18,Livros,4,401.01,1604.04
+2023-12-31,Brinquedos,89,136.9,12184.1
+2023-02-20,Eletrônicos,42,298.39,12532.38
+2023-09-21,Livros,89,491.34,43729.259999999995
+2023-10-10,Alimentos,18,443.26,7978.68
+2023-01-27,Eletrônicos,40,304.39,12175.599999999999
+2023-08-14,Eletrônicos,72,452.82,32603.04
+2023-10-04,Eletrônicos,39,494.7,19293.3
+2023-10-13,Brinquedos,14,374.24,5239.360000000001
+2023-04-07,Livros,32,41.84,1338.88
+2023-10-11,Brinquedos,51,206.77,10545.27
+2023-11-13,Livros,38,420.53,15980.14
+2023-10-31,Brinquedos,97,122.98,11929.06
+2023-05-27,Brinquedos,23,417.01,9591.23
+2023-01-04,Alimentos,63,68.97,4345.11
+2023-02-04,Brinquedos,15,33.0,495.0
+2023-07-11,Roupas,97,198.2,19225.399999999998
+2023-02-18,Alimentos,25,28.0,700.0
+2023-01-17,Brinquedos,17,479.06,8144.02
+2023-06-21,Eletrônicos,97,414.84,40239.479999999996
+2023-08-08,Roupas,66,402.38,26557.079999999998
+2023-06-07,Roupas,78,318.59,24850.019999999997
+2023-02-15,Roupas,53,116.0,6148.0
+2023-01-06,Alimentos,51,263.95,13461.449999999999
+2023-04-09,Brinquedos,39,302.66,11803.740000000002
+2023-08-21,Brinquedos,51,267.27,13630.769999999999
+2023-02-06,Eletrônicos,70,137.51,9625.699999999999
+2023-10-07,Eletrônicos,6,262.47,1574.8200000000002
+2023-12-15,Roupas,67,250.68,16795.56
+2023-10-29,Eletrônicos,7,498.2,3487.4
+2023-06-30,Alimentos,51,449.74,22936.74
+2023-04-05,Brinquedos,72,237.06,17068.32
+2023-04-09,Roupas,42,315.24,13240.08
+2023-07-07,Eletrônicos,64,376.46,24093.44
+2023-04-26,Alimentos,15,27.08,406.2
+2023-07-10,Alimentos,29,448.51,13006.789999999999
+2023-09-10,Eletrônicos,33,431.46,14238.179999999998
+2023-06-10,Brinquedos,94,234.14,22009.16
+2023-09-13,Eletrônicos,27,201.67,5445.089999999999
+2023-11-19,Roupas,36,143.75,5175.0
+2023-05-08,Eletrônicos,29,243.57,7063.53
+2023-01-18,Alimentos,38,31.74,1206.12
+2023-10-08,Eletrônicos,57,427.57,24371.489999999998
+2023-08-11,Brinquedos,97,27.36,2653.92
+2023-02-23,Livros,27,171.24,4623.4800000000005
+2023-02-27,Eletrônicos,55,466.48,25656.4
+2023-11-19,Brinquedos,33,370.25,12218.25
+2023-12-26,Brinquedos,68,147.88,10055.84
+2023-06-23,Alimentos,86,133.8,11506.800000000001
+2023-10-07,Brinquedos,66,12.49,824.34
+2023-04-24,Brinquedos,10,350.9,3509.0
+2023-10-15,Brinquedos,5,33.9,169.5
+2023-12-08,Brinquedos,74,270.98,20052.52
+2023-05-31,Roupas,97,481.44,46699.68
diff --git a/exercicios/para-casa/exercicio_casa.ipynb b/exercicios/para-casa/exercicio_casa.ipynb
new file mode 100644
index 0000000..7eec295
--- /dev/null
+++ b/exercicios/para-casa/exercicio_casa.ipynb
@@ -0,0 +1,560 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Conjunto de dados gerado e salvo como 'dados_vendas.csv'.\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "   import pandas as pd\n",
+    "   import numpy as np\n",
+    "   import matplotlib.pyplot as plt\n",
+    "\n",
+    "   # Configurando a seed para reprodutibilidade\n",
+    "   np.random.seed(42)\n",
+    "\n",
+    "   # Gerando dados falsos\n",
+    "   categorias = ['Eletrônicos', 'Roupas', 'Alimentos', 'Livros', 'Brinquedos']\n",
+    "   datas = pd.date_range(start='2023-01-01', end='2023-12-31', freq='D')\n",
+    "   num_registros = len(datas)\n",
+    "\n",
+    "   # Criando DataFrame\n",
+    "   data = {\n",
+    "       'Data': np.random.choice(datas, num_registros),\n",
+    "       'Categoria': np.random.choice(categorias, num_registros),\n",
+    "       'Quantidade_Vendida': np.random.randint(1, 100, num_registros),\n",
+    "       'Preco_Unitario': np.round(np.random.uniform(10, 500, num_registros), 2)\n",
+    "   }\n",
+    "   df = pd.DataFrame(data)\n",
+    "   df['Valor_Total'] = df['Quantidade_Vendida'] * df['Preco_Unitario']\n",
+    "\n",
+    "   # Salvando o DataFrame em um arquivo CSV\n",
+    "   df.to_csv('dados_vendas.csv', index=False)\n",
+    "\n",
+    "   print(\"Conjunto de dados gerado e salvo como 'dados_vendas.csv'.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Quantas linhas e colunas existem no DataFrame carregado?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(365, 5)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Quais são os tipos de dados (dtypes) das colunas?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Data                  datetime64[ns]\n",
+       "Categoria                     object\n",
+       "Quantidade_Vendida             int32\n",
+       "Preco_Unitario               float64\n",
+       "Valor_Total                  float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Exibir as primeiras 5 linhas do DataFrame:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Categoria</th>\n",
+       "      <th>Quantidade_Vendida</th>\n",
+       "      <th>Preco_Unitario</th>\n",
+       "      <th>Valor_Total</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2023-04-13</td>\n",
+       "      <td>Roupas</td>\n",
+       "      <td>74</td>\n",
+       "      <td>60.43</td>\n",
+       "      <td>4471.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2023-12-15</td>\n",
+       "      <td>Alimentos</td>\n",
+       "      <td>83</td>\n",
+       "      <td>272.88</td>\n",
+       "      <td>22649.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2023-09-28</td>\n",
+       "      <td>Roupas</td>\n",
+       "      <td>17</td>\n",
+       "      <td>195.62</td>\n",
+       "      <td>3325.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2023-04-17</td>\n",
+       "      <td>Roupas</td>\n",
+       "      <td>85</td>\n",
+       "      <td>233.93</td>\n",
+       "      <td>19884.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2023-03-13</td>\n",
+       "      <td>Roupas</td>\n",
+       "      <td>78</td>\n",
+       "      <td>305.94</td>\n",
+       "      <td>23863.32</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Data  Categoria  Quantidade_Vendida  Preco_Unitario  Valor_Total\n",
+       "0 2023-04-13     Roupas                  74           60.43      4471.82\n",
+       "1 2023-12-15  Alimentos                  83          272.88     22649.04\n",
+       "2 2023-09-28     Roupas                  17          195.62      3325.54\n",
+       "3 2023-04-17     Roupas                  85          233.93     19884.05\n",
+       "4 2023-03-13     Roupas                  78          305.94     23863.32"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Quantas categorias únicas de produtos estão presentes no DataFrame?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Alimentos', 'Brinquedos', 'Eletrônicos', 'Livros', 'Roupas'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "valor_unico = np.unique(df[\"Categoria\"])\n",
+    "valor_unico"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Filtrar os dados para mostrar apenas as vendas da categoria 'Eletrônicos'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Data    Categoria  Quantidade_Vendida  Preco_Unitario  Valor_Total\n",
+      "5   2023-07-08  Eletrônicos                  73          256.12     18696.76\n",
+      "6   2023-01-21  Eletrônicos                   1          274.53       274.53\n",
+      "7   2023-04-13  Eletrônicos                  51          248.32     12664.32\n",
+      "14  2023-06-01  Eletrônicos                  34          303.52     10319.68\n",
+      "18  2023-09-15  Eletrônicos                  39          121.40      4734.60\n",
+      "..         ...          ...                 ...             ...          ...\n",
+      "347 2023-09-10  Eletrônicos                  33          431.46     14238.18\n",
+      "349 2023-09-13  Eletrônicos                  27          201.67      5445.09\n",
+      "351 2023-05-08  Eletrônicos                  29          243.57      7063.53\n",
+      "353 2023-10-08  Eletrônicos                  57          427.57     24371.49\n",
+      "356 2023-02-27  Eletrônicos                  55          466.48     25656.40\n",
+      "\n",
+      "[73 rows x 5 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "eletronicos = df[df['Categoria'] == 'Eletrônicos']\n",
+    "print(eletronicos)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Filtrar as vendas acima de R$ 1000:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Data   Categoria  Quantidade_Vendida  Preco_Unitario  Valor_Total\n",
+      "0   2023-04-13      Roupas                  74           60.43      4471.82\n",
+      "1   2023-12-15   Alimentos                  83          272.88     22649.04\n",
+      "2   2023-09-28      Roupas                  17          195.62      3325.54\n",
+      "3   2023-04-17      Roupas                  85          233.93     19884.05\n",
+      "4   2023-03-13      Roupas                  78          305.94     23863.32\n",
+      "..         ...         ...                 ...             ...          ...\n",
+      "358 2023-12-26  Brinquedos                  68          147.88     10055.84\n",
+      "359 2023-06-23   Alimentos                  86          133.80     11506.80\n",
+      "361 2023-04-24  Brinquedos                  10          350.90      3509.00\n",
+      "363 2023-12-08  Brinquedos                  74          270.98     20052.52\n",
+      "364 2023-05-31      Roupas                  97          481.44     46699.68\n",
+      "\n",
+      "[330 rows x 5 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "vendas_acima_1000 = df[df['Valor_Total'] > 1000]\n",
+    "print(vendas_acima_1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pergunta 5: Quantas vendas acima de R$ 1000 ocorreram?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method DataFrame.__len__ of           Data   Categoria  Quantidade_Vendida  Preco_Unitario  Valor_Total\n",
+       "0   2023-04-13      Roupas                  74           60.43      4471.82\n",
+       "1   2023-12-15   Alimentos                  83          272.88     22649.04\n",
+       "2   2023-09-28      Roupas                  17          195.62      3325.54\n",
+       "3   2023-04-17      Roupas                  85          233.93     19884.05\n",
+       "4   2023-03-13      Roupas                  78          305.94     23863.32\n",
+       "..         ...         ...                 ...             ...          ...\n",
+       "358 2023-12-26  Brinquedos                  68          147.88     10055.84\n",
+       "359 2023-06-23   Alimentos                  86          133.80     11506.80\n",
+       "361 2023-04-24  Brinquedos                  10          350.90      3509.00\n",
+       "363 2023-12-08  Brinquedos                  74          270.98     20052.52\n",
+       "364 2023-05-31      Roupas                  97          481.44     46699.68\n",
+       "\n",
+       "[330 rows x 5 columns]>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantas_vendas_acima_1000 = df[df['Valor_Total'] > 1000].__len__\n",
+    "quantas_vendas_acima_1000\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(330, 5)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantas_vendas_acima_1000 = df[df['Valor_Total'] > 1000].shape\n",
+    "quantas_vendas_acima_1000\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Agrupar os dados por categoria e calcular o total de vendas por categoria"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     Categoria  Valor_Total\n",
+      "0    Alimentos    742457.74\n",
+      "1   Brinquedos   1187964.04\n",
+      "2  Eletrônicos    897261.71\n",
+      "3       Livros    963685.46\n",
+      "4       Roupas    991215.29\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_por_categoria = df.groupby('Categoria')['Valor_Total'].sum().reset_index()\n",
+    "print(total_por_categoria)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Calcular a quantidade média vendida por categoria"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<bound method Series.reset_index of Categoria\n",
+      "Alimentos      55.618182\n",
+      "Brinquedos     47.247191\n",
+      "Eletrônicos    46.780822\n",
+      "Livros         50.917808\n",
+      "Roupas         47.200000\n",
+      "Name: Quantidade_Vendida, dtype: float64>\n"
+     ]
+    }
+   ],
+   "source": [
+    "media_quantidade_categoria = df.groupby('Categoria')['Quantidade_Vendida'].mean().reset_index\n",
+    "print(media_quantidade_categoria)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Qual categoria teve a maior quantidade média vendida"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.bar(total_por_categoria['Categoria'], total_por_categoria['Valor_Total'], color='skyblue')\n",
+    "plt.xlabel('Categoria')\n",
+    "plt.ylabel('Valor Total de Vendas (R$)')\n",
+    "plt.title('Total de Vendas por Categoria')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "R: A categoria brinquedo teve a maior quantidade de vendas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Com base no gráfico, qual categoria visualmente se destaca em termos de vendas totais"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "R: Categoria Brinquedo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " **Criar um gráfico de linha mostrando a variação diária das vendas de 'Eletrônicos':**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vendas_diarias = eletronicos.groupby('Data')['Valor_Total'].sum().reset_index()\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.plot(vendas_diarias['Data'], vendas_diarias['Valor_Total'], color='purple')\n",
+    "plt.xlabel('Data')\n",
+    "plt.ylabel('Valor Total de Vendas (R$)')\n",
+    "plt.title('Variação Diária das Vendas de Eletrônicos')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Existe algum padrão ou tendência observável nas vendas diárias de eletrônicos?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Não foi identificado padrão nas  vendas diárias de eletrônicos"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exercicios/para-sala/ex_extra.ipynb b/exercicios/para-sala/ex_extra.ipynb
index 600614b..a18dbc9 100644
--- a/exercicios/para-sala/ex_extra.ipynb
+++ b/exercicios/para-sala/ex_extra.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -151,7 +151,7 @@
        "4                   8  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -186,7 +186,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -206,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -234,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -360,7 +360,7 @@
        "4                   8  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -371,7 +371,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -381,7 +381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -398,7 +398,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -409,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -526,7 +526,7 @@
        "4                   8  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -544,20 +544,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 6))\n",
     "plt.scatter(df['Duracao_Consulta_Minutos'], df['Gravidade_Sintomas'], color='blue')\n",
@@ -584,12 +573,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 2 Axes>"
       ]
@@ -628,7 +617,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,
diff --git a/exercicios/para-sala/exercicio.ipynb b/exercicios/para-sala/exercicio.ipynb
index 224a55d..a0b2cbb 100644
--- a/exercicios/para-sala/exercicio.ipynb
+++ b/exercicios/para-sala/exercicio.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -143,7 +143,7 @@
        "9         B  45.308243  103.693606        1  2023-01-10"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -154,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -176,7 +176,7 @@
        "[1000 rows x 5 columns]>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -281,7 +281,7 @@
        "max      80.788808   163.862151     9.000000"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -292,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -512,7 +512,7 @@
        "461         A  74.553001   82.676503        7  2024-04-06"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -565,6 +565,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>D</td>\n",
+       "      <td>44.076061</td>\n",
+       "      <td>113.927749</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2023-05-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>121</th>\n",
        "      <td>A</td>\n",
        "      <td>41.360092</td>\n",
@@ -636,20 +644,13 @@
        "      <td>4</td>\n",
        "      <td>2023-05-10</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>130</th>\n",
-       "      <td>D</td>\n",
-       "      <td>55.009172</td>\n",
-       "      <td>130.268995</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2023-05-11</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "    Categoria    Valor_1     Valor_2  Valor_3        Data\n",
+       "120         D  44.076061  113.927749        6  2023-05-01\n",
        "121         A  41.360092  119.106104        5  2023-05-02\n",
        "122         B  50.485216  101.768138        9  2023-05-03\n",
        "123         C  41.690499  129.550602        2  2023-05-04\n",
@@ -658,8 +659,7 @@
        "126         B  47.610520   85.663554        2  2023-05-07\n",
        "127         A  40.924363   62.669268        6  2023-05-08\n",
        "128         D  44.232287   98.346386        8  2023-05-09\n",
-       "129         D  57.553912   97.565050        4  2023-05-10\n",
-       "130         D  55.009172  130.268995        2  2023-05-11"
+       "129         D  57.553912   97.565050        4  2023-05-10"
       ]
      },
      "execution_count": 27,
@@ -716,6 +716,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>D</td>\n",
+       "      <td>44.076061</td>\n",
+       "      <td>113.927749</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2023-05-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>121</th>\n",
        "      <td>A</td>\n",
        "      <td>41.360092</td>\n",
@@ -787,20 +795,13 @@
        "      <td>4</td>\n",
        "      <td>2023-05-10</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>130</th>\n",
-       "      <td>D</td>\n",
-       "      <td>55.009172</td>\n",
-       "      <td>130.268995</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2023-05-11</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "    Categoria  estoque da loja1  Estoque da loja2  vendas        Data\n",
+       "120         D         44.076061        113.927749       6  2023-05-01\n",
        "121         A         41.360092        119.106104       5  2023-05-02\n",
        "122         B         50.485216        101.768138       9  2023-05-03\n",
        "123         C         41.690499        129.550602       2  2023-05-04\n",
@@ -809,8 +810,7 @@
        "126         B         47.610520         85.663554       2  2023-05-07\n",
        "127         A         40.924363         62.669268       6  2023-05-08\n",
        "128         D         44.232287         98.346386       8  2023-05-09\n",
-       "129         D         57.553912         97.565050       4  2023-05-10\n",
-       "130         D         55.009172        130.268995       2  2023-05-11"
+       "129         D         57.553912         97.565050       4  2023-05-10"
       ]
      },
      "execution_count": 29,
@@ -824,7 +824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -833,7 +833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -879,13 +879,13 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>C</th>\n",
-       "      <td>39.662949</td>\n",
-       "      <td>102.444943</td>\n",
+       "      <td>39.910509</td>\n",
+       "      <td>103.563094</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>D</th>\n",
-       "      <td>48.936837</td>\n",
-       "      <td>99.861477</td>\n",
+       "      <td>48.450760</td>\n",
+       "      <td>101.268104</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -896,11 +896,11 @@
        "Categoria                                    \n",
        "A                 47.012307        101.616545\n",
        "B                 49.047868         93.715846\n",
-       "C                 39.662949        102.444943\n",
-       "D                 48.936837         99.861477"
+       "C                 39.910509        103.563094\n",
+       "D                 48.450760        101.268104"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -911,7 +911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -920,7 +920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -953,6 +953,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>D</td>\n",
+       "      <td>44.076061</td>\n",
+       "      <td>113.927749</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2023-05-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>121</th>\n",
        "      <td>A</td>\n",
        "      <td>41.360092</td>\n",
@@ -1024,20 +1032,13 @@
        "      <td>4</td>\n",
        "      <td>2023-05-10</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>130</th>\n",
-       "      <td>D</td>\n",
-       "      <td>55.009172</td>\n",
-       "      <td>130.268995</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2023-05-11</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "    Categoria  estoque da loja1  estoque da loja2  vendas        Data\n",
+       "120         D         44.076061        113.927749       6  2023-05-01\n",
        "121         A         41.360092        119.106104       5  2023-05-02\n",
        "122         B         50.485216        101.768138       9  2023-05-03\n",
        "123         C         41.690499        129.550602       2  2023-05-04\n",
@@ -1046,11 +1047,10 @@
        "126         B         47.610520         85.663554       2  2023-05-07\n",
        "127         A         40.924363         62.669268       6  2023-05-08\n",
        "128         D         44.232287         98.346386       8  2023-05-09\n",
-       "129         D         57.553912         97.565050       4  2023-05-10\n",
-       "130         D         55.009172        130.268995       2  2023-05-11"
+       "129         D         57.553912         97.565050       4  2023-05-10"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1061,7 +1061,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1070,7 +1070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -1137,7 +1137,7 @@
        "D                 57.553912        137.691726"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1148,7 +1148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -1181,6 +1181,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>D</td>\n",
+       "      <td>44.076061</td>\n",
+       "      <td>113.927749</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2023-05-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>121</th>\n",
        "      <td>A</td>\n",
        "      <td>41.360092</td>\n",
@@ -1412,12 +1420,21 @@
        "      <td>6</td>\n",
        "      <td>2023-05-30</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>C</td>\n",
+       "      <td>41.395866</td>\n",
+       "      <td>110.272002</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2023-05-31</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "    Categoria  estoque da loja1  estoque da loja2  vendas        Data\n",
+       "120         D         44.076061        113.927749       6  2023-05-01\n",
        "121         A         41.360092        119.106104       5  2023-05-02\n",
        "122         B         50.485216        101.768138       9  2023-05-03\n",
        "123         C         41.690499        129.550602       2  2023-05-04\n",
@@ -1446,10 +1463,11 @@
        "146         C         49.339202        106.463354       2  2023-05-27\n",
        "147         C         37.889838         97.047948       9  2023-05-28\n",
        "148         A         43.481639         90.679270       1  2023-05-29\n",
-       "149         D         50.473987         68.105939       6  2023-05-30"
+       "149         D         50.473987         68.105939       6  2023-05-30\n",
+       "150         C         41.395866        110.272002       6  2023-05-31"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1460,7 +1478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1469,7 +1487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -1515,13 +1533,13 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>C</th>\n",
-       "      <td>32</td>\n",
-       "      <td>6</td>\n",
+       "      <td>38</td>\n",
+       "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>D</th>\n",
-       "      <td>44</td>\n",
-       "      <td>9</td>\n",
+       "      <td>50</td>\n",
+       "      <td>10</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1532,11 +1550,11 @@
        "Categoria                                 \n",
        "A              58                       12\n",
        "B              11                        2\n",
-       "C              32                        6\n",
-       "D              44                        9"
+       "C              38                        7\n",
+       "D              50                       10"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1547,7 +1565,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1556,7 +1574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1565,12 +1583,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1588,7 +1606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -1602,7 +1620,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1635,7 +1653,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,