From 7c19f5a668c7ad56867a5100fba8280f0da618f3 Mon Sep 17 00:00:00 2001 From: 1cda4be30895c9886fda013d21530393 <1cda4be30895c9886fda013d21530393@app-learninglab.inria.fr> Date: Thu, 26 Nov 2020 01:05:59 +0000 Subject: [PATCH] finalone --- module3/exo3/exercice.ipynb | 42 +++++++++++++++++++++++++------------ 1 file changed, 29 insertions(+), 13 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index d881ebc..7addca1 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 1, "metadata": { "scrolled": true }, @@ -107,7 +107,7 @@ "49 50 1810 99.0 30.0" ] }, - "execution_count": 49, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -159,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -311,7 +311,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -462,7 +462,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -502,17 +502,17 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "2. For the second visualization we will use wages as x-axis and wheat's price as y-axis. While the time advancement will be represented as years scattered" + "2. For the second visualization we will use wages as x-axis and wheat price as y-axis. While the time advancement will be represented as shades of color from black to white, with white being the last year in the data (1810)." ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -526,21 +526,37 @@ "source": [ "xax = datanew['Wheat']\n", "yax = datanew['Wages']\n", - "\n", + "years = datanew['Year']\n", + "yearsedit = (years-min(years)) / (max(years) - min(years))\n", "fig,ax1 = plt.subplots()\n", "\n", - "ax1.plot(xax, yax, 'o', markeredgecolor='black', markerfacecolor='pink', markersize = 10)\n", - "ax1.set_ylim([0,2])\n", + "for i in range(len(xax)):\n", + " ax1.plot(xax[i], yax[i], 'o', markeredgecolor='black', markerfacecolor=(yearsedit[i],yearsedit[i],yearsedit[i]), markersize = 10)\n", + "\n", + "ax1.set_ylim([0,1.8])\n", "\n", - "ax1.set(xlabel='Wheat', title='Purchasing Power')\n", + "ax1.set(xlabel='Price of Wheat per Kg (in poundsterling)', title='The Growth of Workers\\'s Purchasing Power in England')\n", "ax1.grid()\n", - "ax1.set_ylabel('Wages', color='black')\n", + "ax1.set_ylabel('Weekly Wages (in poundsterling)', color='black')\n", "\n", + "plt.xticks(np.arange(0.15, 0.85, 0.05))\n", "plt.rcParams[\"figure.figsize\"] = (18,9)\n", "plt.minorticks_on()\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first method to visualize the purchasing power is definetely more intuitive for most people. By looking at the direction of the plotted line, we can see that in general the workers was able to buy more and more wheat overtime from 16th to 18th century. \n", + "\n", + "On the other hand, it is rather difficult to understand the second graph. However this graphs also shows that the workers's salary growth is more linear overtime, compared to the wheat price. We can easily see that along the y-axis (wheat price) the color changes from black to white which is the progression of time. While horizontally there is no certain pattern, which means that the growth of wheat price is not linear overtime.\n", + "\n", + "### Conclusion\n", + "The presentation of the original graph by William Playfair was a great success and far ahead of its time. However it may need some adjustment regarding the units such as shillings to poundsterling and quarter to kilograms. Moreover we can also apply some computations and visualization techniques to improve its presentation" + ] + }, { "cell_type": "code", "execution_count": null, -- 2.18.1