From a5698dc0fc861df536953c95a10796e2f99b07b4 Mon Sep 17 00:00:00 2001 From: Tejas Dixit Date: Thu, 23 Nov 2023 23:04:21 +0530 Subject: [PATCH] updated --- Exercises_1.ipynb | 473 ++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 436 insertions(+), 37 deletions(-) diff --git a/Exercises_1.ipynb b/Exercises_1.ipynb index 4a656d2..a27df61 100644 --- a/Exercises_1.ipynb +++ b/Exercises_1.ipynb @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -38,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -49,9 +49,195 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDayMonthYearCustomer_AgeAge_GroupCustomer_GenderCountryStateProduct_CategorySub_CategoryProductOrder_QuantityUnit_CostUnit_PriceProfitCostRevenue
02013-11-2626November201319Youth (<25)MCanadaBritish ColumbiaAccessoriesBike RacksHitch Rack - 4-Bike845120590360950
12015-11-2626November201519Youth (<25)MCanadaBritish ColumbiaAccessoriesBike RacksHitch Rack - 4-Bike845120590360950
22014-03-2323March201449Adults (35-64)MAustraliaNew South WalesAccessoriesBike RacksHitch Rack - 4-Bike2345120136610352401
32016-03-2323March201649Adults (35-64)MAustraliaNew South WalesAccessoriesBike RacksHitch Rack - 4-Bike204512011889002088
42014-05-1515May201447Adults (35-64)FAustraliaNew South WalesAccessoriesBike RacksHitch Rack - 4-Bike445120238180418
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" + ], + "text/plain": [ + " Date Day Month Year Customer_Age Age_Group \\\n", + "0 2013-11-26 26 November 2013 19 Youth (<25) \n", + "1 2015-11-26 26 November 2015 19 Youth (<25) \n", + "2 2014-03-23 23 March 2014 49 Adults (35-64) \n", + "3 2016-03-23 23 March 2016 49 Adults (35-64) \n", + "4 2014-05-15 15 May 2014 47 Adults (35-64) \n", + "\n", + " Customer_Gender Country State Product_Category Sub_Category \\\n", + "0 M Canada British Columbia Accessories Bike Racks \n", + "1 M Canada British Columbia Accessories Bike Racks \n", + "2 M Australia New South Wales Accessories Bike Racks \n", + "3 M Australia New South Wales Accessories Bike Racks \n", + "4 F Australia New South Wales Accessories Bike Racks \n", + "\n", + " Product Order_Quantity Unit_Cost Unit_Price Profit Cost \\\n", + "0 Hitch Rack - 4-Bike 8 45 120 590 360 \n", + "1 Hitch Rack - 4-Bike 8 45 120 590 360 \n", + "2 Hitch Rack - 4-Bike 23 45 120 1366 1035 \n", + "3 Hitch Rack - 4-Bike 20 45 120 1188 900 \n", + "4 Hitch Rack - 4-Bike 4 45 120 238 180 \n", + "\n", + " Revenue \n", + "0 950 \n", + "1 950 \n", + "2 2401 \n", + "3 2088 \n", + "4 418 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sales.head()" ] @@ -67,11 +253,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "35.91921157861212" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Customer_Age'].mean()" ] }, { @@ -85,11 +283,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "cell_type": "solution" }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "35.91921157861212" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sales['Customer_Age'].mean()" ] @@ -103,11 +312,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(, )" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Customer_Age'].plot(kind='kde',),sales['Customer_Age'].plot(kind='box')" ] }, { @@ -143,20 +376,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "11.901659648253654" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Order_Quantity'].mean()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": { "cell_type": "solution" }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "11.901659648253654" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sales['Order_Quantity'].mean()" ] @@ -173,8 +429,46 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Order_Quantity'].plot(kind='hist', bins=30, figsize=(14,6))" ] }, { @@ -210,20 +504,55 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 29398\n", + "2016 29398\n", + "2013 24443\n", + "2015 24443\n", + "2012 2677\n", + "2011 2677\n", + "Name: Year, dtype: int64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Year'].value_counts()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "cell_type": "solution" }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 29398\n", + "2016 29398\n", + "2013 24443\n", + "2015 24443\n", + "2012 2677\n", + "2011 2677\n", + "Name: Year, dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sales['Year'].value_counts()" ] @@ -237,11 +566,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Year'].value_counts().plot(kind='pie', figsize=(10,10))" ] }, { @@ -266,11 +617,35 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# your code goes here\n" + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "June 11234\n", + "December 11200\n", + "May 11128\n", + "April 10182\n", + "March 9674\n", + "January 9284\n", + "February 9022\n", + "October 8750\n", + "November 8734\n", + "August 8200\n", + "September 8166\n", + "July 7462\n", + "Name: Month, dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your code goes here\n", + "sales['Month'].value_counts()" ] }, { @@ -293,11 +668,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code goes here\n" + "# your code goes here\n", + "sales['Month'].value_counts().plot(kind='bar', figsize=(14,10))" ] }, { @@ -1299,7 +1698,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1313,7 +1712,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.1" + "version": "3.10.12" } }, "nbformat": 4,