diff --git a/UFCFVQ-15-M Programming Task 2.ipynb b/UFCFVQ-15-M Programming Task 2.ipynb index 6f55334e9177b25ef495e5d4836b7359dfd14ace..2f5debc5fa83bacea65f8d15952c629a3ac1f4ac 100644 --- a/UFCFVQ-15-M Programming Task 2.ipynb +++ b/UFCFVQ-15-M Programming Task 2.ipynb @@ -635,7 +635,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Before Dropping\n", + "[+] Before Dropping\n", "\n", "Unnamed: 0 0\n", "id_student 0\n", @@ -649,7 +649,7 @@ "click_events 1371\n", "dtype: int64\n", "\n", - "After Dropping\n", + "[+] After Dropping\n", "\n", "Unnamed: 0 0\n", "id_student 0\n", @@ -669,11 +669,11 @@ ], "source": [ "#Visiling how many null values are there before dropping it\n", - "print(f'Before Dropping\\n\\n{Datasetframe.isnull().sum()}')\n", + "print(f'[+] Before Dropping\\n\\n{Datasetframe.isnull().sum()}')\n", "# All rows with empty values will be dropped\n", "Datasetframe = Datasetframe.dropna()\n", "#Visiling how many null values are there after dropping it\n", - "print(f'\\nAfter Dropping\\n\\n{Datasetframe.isnull().sum()}')\n", + "print(f'\\n[+] After Dropping\\n\\n{Datasetframe.isnull().sum()}')\n", "print(f'\\nThe Dataset Shape is {Datasetframe.shape}')" ] }, @@ -1396,7 +1396,7 @@ "outputs": [], "source": [ "# Store the DataFrame into a New CSV file\n", - "Datasetframe.to_csv(\"update.csv\")" + "Datasetframe.to_csv(\"update.csv\", header=True, index= False)" ] }, { @@ -1497,17 +1497,6 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [], - "source": [ - "# importing seaborn and matplotlib.pyplot libraries\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, "outputs": [ { "data": { @@ -1531,6 +1520,10 @@ } ], "source": [ + "# importing seaborn and matplotlib.pyplot libraries\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", "# Visualisating the final marks respecting to each age band\n", "sns.catplot(x=\"age_band\", y=\"final_mark\",hue=\"final_mark\",data=UpdateDataFrameMean,\n", " kind=\"bar\", palette=\"Accent_r\").set(title='Final Marks in Each Age Band')\n", @@ -1551,36 +1544,88 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 11, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[+] The correlation matrix\n", + "\n", + " final_mark click_events\n", + "final_mark 1.00000 0.27426\n", + "click_events 0.27426 1.00000\n", + "\n", + "\n", + "[+] HeatMap Correlation Matrix\n" + ] + }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "According to the heatmap, a weak positive (negative) linear relationship via a shaky linear rule. \n", + "Heatmap is used as it visualizes the result in the best format for the eye to understand.\n", + "\n", + "\n", + "[+] regplot Correlation plot\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The plot between final_mark and click_events showed weak strength. Therfore; linear correlation does not exist.\n" + ] } ], "source": [ "#drooping all columns exept 'final grade' and 'click events'\n", - "CorrFinder = UpdateDataFrame.drop(['id_student','disability','age_band','gender','Unnamed: 0','Unnamed: 0.1'], axis=1)\n", + "CorrFinder = UpdateDataFrame.drop(['id_student','disability','age_band','gender','Unnamed: 0'], axis=1)\n", + "\n", + "print('[+] The correlation matrix\\n')\n", + "print(CorrFinder.corr())\n", "\n", "#using corr() function to find the correlation between the two columns. and visualizing it as a heatmap.\n", + "print('\\n\\n[+] HeatMap Correlation Matrix')\n", "sns.heatmap(CorrFinder.corr(), annot=True, cmap='cool')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- According to the heatmap, the correlation between both columns are 0.27, therefore it indicates a weak positive (negative) linear relationship via a shaky linear rule. \n", + "plt.title('The effects of engagement on attainment')\n", + "plt.show()\n", "\n", - "- Heatmap is used as it visualize the result in the best format for the sys to understand." + "print('''According to the heatmap, a weak positive (negative) linear relationship via a shaky linear rule. \n", + "Heatmap is used as it visualizes the result in the best format for the eye to understand.\\n''')\n", + "\n", + "\n", + "print('\\n[+] regplot Correlation plot')\n", + "sns.regplot(x=UpdateDataFrame[\"final_mark\"], y=UpdateDataFrame[\"click_events\"])\n", + "# The axes and the graph is labelled\n", + "plt.title('The effects of engagement on attainment')\n", + "plt.xlabel(\"Engagement\")\n", + "plt.ylabel(\"Attainment\")\n", + "plt.show()\n", + "print(\"The plot between final_mark and click_events showed weak strength. Therfore; linear correlation does not exist.\")\n", + "\n" ] }, { @@ -1592,14 +1637,18 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The p-value is 0.0 therfore, reject null hypothesis\n" + "The p-value is 0.0 therfore, reject null hypothesis\n", + "\n", + "\n", + "The p-value is 0.0 which is in a range of 0.00 and 0.05..(not null hypothesis).\n", + "Therfore; there is a relationship between the two phenomena and the results are statistically significant.\n" ] } ], @@ -1610,20 +1659,17 @@ "#p_value = probability that the null hypothesis is true.\n", "#collecting out the p_value of 'final_mark' and 'click_events' using stats formaula. \n", "\n", - "Ttest,Pvalue = stats.ttest_ind(CorrFinder['final_mark'], CorrFinder['click_events'])\n", + "Pvalue = stats.ttest_ind(CorrFinder['final_mark'], CorrFinder['click_events']).pvalue\n", "\n", "#If the p value is > 0.05 or less than 0, accept null hypothesis else reject null hypothesis\n", "if Pvalue >= 0 and Pvalue <= 0.05:\n", " print(f\"The p-value is {Pvalue} therfore, reject null hypothesis\")\n", "else:\n", - " print(f\"The p-value is {Pvalue} therfore, accept null hypothesis\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- The p-value is 0.0 which is in a range of 0.00 and 0.05.. (not null hypothesis). Therfore; there is a relationship between the two phenomena and the results are <b>statistically significant</b>." + " print(f\"The p-value is {Pvalue} therfore, accept null hypothesis\")\n", + "\n", + " \n", + "print('''\\n\\nThe p-value is 0.0 which is in a range of 0.00 and 0.05..(not null hypothesis).\n", + "Therfore; there is a relationship between the two phenomena and the results are statistically significant.''')" ] }, {