diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb index c1bb43d..4d5a492 100755 --- a/your-code/challenge-1.ipynb +++ b/your-code/challenge-1.ipynb @@ -19,12 +19,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ "# Import libraries\n", - "import pandas as pd" + "import pandas as pd\n", + "import scipy.stats as st" ] }, { @@ -38,11 +39,119 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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#NameType 1Type 2TotalHPAttackDefenseSp. AtkSp. DefSpeedGenerationLegendary
01BulbasaurGrassPoison3184549496565451False
12IvysaurGrassPoison4056062638080601False
23VenusaurGrassPoison525808283100100801False
\n", + "
" + ], + "text/plain": [ + " # Name Type 1 Type 2 Total HP Attack Defense Sp. Atk Sp. Def \\\n", + "0 1 Bulbasaur Grass Poison 318 45 49 49 65 65 \n", + "1 2 Ivysaur Grass Poison 405 60 62 63 80 80 \n", + "2 3 Venusaur Grass Poison 525 80 82 83 100 100 \n", + "\n", + " Speed Generation Legendary \n", + "0 45 1 False \n", + "1 60 1 False \n", + "2 80 1 False " + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:\n" + "# Your code here:\n", + "pokemon = pd.read_csv(\"Pokemon.csv\")\n", + "pokemon.head(3)" ] }, { @@ -58,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 77, "metadata": {}, "outputs": [], "source": [ @@ -75,8 +184,14 @@ " \"\"\"\n", " results = {}\n", "\n", - " # Your code here\n", - " \n", + " for feature in features:\n", + " feature_s1 = s1[feature]\n", + " feature_s2 = s2[feature]\n", + " \n", + " comparisson = st.ttest_ind(feature_s1, feature_s2, equal_var = False, alternative = \"less\")\n", + " \n", + " results[feature] = comparisson[1]\n", + "\n", " return results" ] }, @@ -101,11 +216,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'HP': 5.013455854017642e-14,\n", + " 'Attack': 1.260186224618323e-16,\n", + " 'Defense': 2.4134992474596658e-11,\n", + " 'Sp. Atk': 7.757307056119906e-22,\n", + " 'Sp. Def': 1.1474663932026413e-15,\n", + " 'Speed': 5.245081559412255e-19,\n", + " 'Total': 4.678977167978723e-47}" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n" + "feature_s1 = pokemon[pokemon[\"Legendary\"] == False]\n", + "feature_s2 = pokemon[pokemon[\"Legendary\"] == True]\n", + "\n", + "t_test_features(feature_s1, feature_s2)" ] }, { @@ -121,7 +256,9 @@ "metadata": {}, "outputs": [], "source": [ - "# Your comment here" + "\"\"\"\n", + "They do have some significantly differences, especially on \"HP\", \"Sp. Atk\" and \"Speed\".\n", + "\"\"\"" ] }, { @@ -133,11 +270,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'HP': 0.07275848917109812,\n", + " 'Attack': 0.8763902051639113,\n", + " 'Defense': 0.2838855505862713,\n", + " 'Sp. Atk': 0.9383391701144781,\n", + " 'Sp. Def': 0.09414936146322876,\n", + " 'Speed': 0.9988036703134393,\n", + " 'Total': 0.7184311046029161}" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n" + "generation_s1 = pokemon[pokemon[\"Generation\"] == 1]\n", + "generation_s2 = pokemon[pokemon[\"Generation\"] == 2]\n", + "\n", + "t_test_features(generation_s1, generation_s2)" ] }, { @@ -149,11 +306,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "# Your comment here" + "\"\"\"\n", + "There is no strong evidence to suggest a significant difference between Generation 1 and Generation 2 Pokémon for \n", + "these attributes. \n", + "\"\"\"" ] }, { @@ -165,11 +325,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 78, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'HP': 0.943428050723103,\n", + " 'Attack': 0.9999253371092702,\n", + " 'Defense': 0.9999999860107298,\n", + " 'Sp. Atk': 0.9999306189170717,\n", + " 'Sp. Def': 0.9999463469453275,\n", + " 'Speed': 0.9878914835909045,\n", + " 'Total': 0.9999999442147175}" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n" + "type_s1 = pokemon[~pokemon[\"Type 2\"].isnull()]\n", + "type_s2 = pokemon[pokemon[\"Type 2\"].isnull()]\n", + "\n", + "t_test_features(type_s1, type_s2)" ] }, { @@ -181,11 +361,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ - "# Your comment here" + "\"\"\"\n", + "There is no strong evidence to suggest a significant difference between Pokémon with single types and those with \n", + "two types for any of the attributes being tested. \n", + "\"\"\"" ] }, { @@ -199,11 +382,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 82, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Difference Attack vs. Defense: TtestResult(statistic=4.325566393330478, pvalue=1.7140303479358558e-05, df=799)\n", + "Difference Sp. Atk vs. Sp. Def: TtestResult(statistic=0.853986188453353, pvalue=0.3933685997548122, df=799)\n" + ] + } + ], "source": [ - "# Your code here\n" + "attack_defense = st.ttest_rel(pokemon[\"Attack\"], pokemon[\"Defense\"])\n", + "sp_atk_def = st.ttest_rel(pokemon[\"Sp. Atk\"], pokemon[\"Sp. Def\"])\n", + "\n", + "print(f\"Difference Attack vs. Defense: {attack_defense}\")\n", + "print(f\"Difference Sp. Atk vs. Sp. Def: {sp_atk_def}\")" ] }, { @@ -215,17 +411,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "# Your comment here" + "\"\"\" \n", + "Because of the low values of \"Attack\" vs. \"Defense\" we cannot reject the null hypothesis that the values are different,\n", + "but because of the higher values of \"Sp. Atk\" vs. \"Sp. Def\", we can reject it.\n", + "\"\"\"" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -239,7 +438,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb index 1f0e335..0166fc4 100755 --- a/your-code/challenge-2.ipynb +++ b/your-code/challenge-2.ipynb @@ -17,21 +17,130 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Import libraries\n", - "import pandas as pd" + "import pandas as pd\n", + "import scipy.stats as st" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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#NameType 1Type 2TotalHPAttackDefenseSp. AtkSp. DefSpeedGenerationLegendary
01BulbasaurGrassPoison3184549496565451False
12IvysaurGrassPoison4056062638080601False
23VenusaurGrassPoison525808283100100801False
\n", + "
" + ], + "text/plain": [ + " # Name Type 1 Type 2 Total HP Attack Defense Sp. Atk Sp. Def \\\n", + "0 1 Bulbasaur Grass Poison 318 45 49 49 65 65 \n", + "1 2 Ivysaur Grass Poison 405 60 62 63 80 80 \n", + "2 3 Venusaur Grass Poison 525 80 82 83 100 100 \n", + "\n", + " Speed Generation Legendary \n", + "0 45 1 False \n", + "1 60 1 False \n", + "2 80 1 False " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Load the data:\n" + "# Load the data:\n", + "pokemon = pd.read_csv(\"Pokemon.csv\")\n", + "pokemon.head(3)" ] }, { @@ -58,14 +167,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Grass', 'Fire', 'Water', 'Bug', 'Normal', 'Poison', 'Electric',\n", + " 'Ground', 'Fairy', 'Fighting', 'Psychic', 'Rock', 'Ghost', 'Ice',\n", + " 'Dragon', 'Dark', 'Steel', 'Flying'], dtype=object)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n", - "\n", - "\n", - "len(unique_types) # you should see 19" + "unique_types = pd.concat([pokemon[\"Type 1\"], pokemon[\"Type 2\"]]).dropna().unique()\n", + "unique_types" ] }, { @@ -85,15 +205,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "18" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pokemon_totals = []\n", "\n", - "# Your code here\n", + "for pokemon_type in unique_types:\n", + " type_totals = pokemon[pokemon[\"Type 1\"] == pokemon_type][\"Total\"]\n", + " pokemon_totals.append(type_totals)\n", "\n", - "len(pokemon_totals) # you should see 18" + "len(pokemon_totals)" ] }, { @@ -111,11 +244,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "F_onewayResult(statistic=4.63876748166055, pvalue=2.077215448842098e-09)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n" + "st.f_oneway(*pokemon_totals)" ] }, { @@ -127,17 +271,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'\\nThe p-value suggests that there is strong evidence to reject the null hypothesis. \\nThe null hypothesis assumes that there is no significant difference between the means of the groups.\\n'" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your comment here" + "\"\"\"\n", + "The p-value suggests that there is strong evidence to reject the null hypothesis. \n", + "The null hypothesis assumes that there is no significant difference between the means of the groups.\n", + "\"\"\"" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -151,7 +309,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.10.9" } }, "nbformat": 4,