{ "cells": [ { "cell_type": "markdown", "id": "cb38f36f", "metadata": {}, "source": [ "# Storytelling Data Visualization on Exchange Rates during COVID-19 Pandemic\n", "## Introduction\n", "- In this project, we'll analyze the exchange rate between the euro and [other strong currencies](https://www.thetealmango.com/featured/strongest-currencies-in-the-world/): US Dollar/USD, British Pound/GBP, Swiss Franc/CHF and Australian Dollar/AUD. \n", "- In addition, we'll focus on the period of the COVID-19 pandemic (2020-2022) to discuss how these rates behave during this time. \n", "- Our goal is to visualize the impact of the pandemic, and possible devaluations and recoveries.\n" ] }, { "cell_type": "markdown", "id": "853d77a2", "metadata": {}, "source": [ "## Introducing the Data\n", "- The dataset describes the euro daily exchange rates between 1999 and 2022, and its source is the European Central Bank. The data is frequently updated and we can be downloaded [here](https://www.kaggle.com/lsind18/euro-exchange-daily-rates-19992020). We will use one version downloaded on January 2022." ] }, { "cell_type": "code", "execution_count": 1, "id": "9b05ca66", "metadata": {}, "outputs": [], "source": [ "# importing the libraries\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import matplotlib.style as style\n", "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 2, "id": "f8ec9139", "metadata": {}, "outputs": [], "source": [ "# importing the dataset\n", "exchange_rates = pd.read_csv('euro-daily-hist_1999_2022.csv')" ] }, { "cell_type": "code", "execution_count": 3, "id": "abda661c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Period\\Unit:[Australian dollar ][Bulgarian lev ][Brazilian real ][Canadian dollar ][Swiss franc ][Chinese yuan renminbi ][Cypriot pound ][Czech koruna ][Danish krone ]...[Romanian leu ][Russian rouble ][Swedish krona ][Singapore dollar ][Slovenian tolar ][Slovak koruna ][Thai baht ][Turkish lira ][US dollar ][South African rand ]
02022-01-101.57741.95586.39691.43271.04467.2128NaN24.3577.4381...4.944984.982510.30381.5344NaNNaN38.074015.71831.131817.6999
12022-01-071.58041.95586.43431.43741.04227.2060NaN24.4397.4380...4.945185.298010.28391.5356NaNNaN38.074015.72061.129817.6701
22022-01-061.57781.95586.44201.44511.03957.2187NaN24.5287.4393...4.943586.508810.32651.5388NaNNaN37.962015.55041.131517.7932
32022-01-051.56001.95586.41461.43991.03647.2087NaN24.5817.4384...4.946085.727510.25451.5340NaNNaN37.607015.24461.131917.9369
42022-01-041.56821.95586.41741.43821.03557.1924NaN24.7457.4378...4.948184.920210.28081.5310NaNNaN37.582015.13841.127918.1080
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5 rows × 41 columns

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" ], "text/plain": [ " Period\\Unit: [Australian dollar ] [Bulgarian lev ] [Brazilian real ] \\\n", "0 2022-01-10 1.5774 1.9558 6.3969 \n", "1 2022-01-07 1.5804 1.9558 6.4343 \n", "2 2022-01-06 1.5778 1.9558 6.4420 \n", "3 2022-01-05 1.5600 1.9558 6.4146 \n", "4 2022-01-04 1.5682 1.9558 6.4174 \n", "\n", " [Canadian dollar ] [Swiss franc ] [Chinese yuan renminbi ] [Cypriot pound ] \\\n", "0 1.4327 1.0446 7.2128 NaN \n", "1 1.4374 1.0422 7.2060 NaN \n", "2 1.4451 1.0395 7.2187 NaN \n", "3 1.4399 1.0364 7.2087 NaN \n", "4 1.4382 1.0355 7.1924 NaN \n", "\n", " [Czech koruna ] [Danish krone ] ... [Romanian leu ] [Russian rouble ] \\\n", "0 24.357 7.4381 ... 4.9449 84.9825 \n", "1 24.439 7.4380 ... 4.9451 85.2980 \n", "2 24.528 7.4393 ... 4.9435 86.5088 \n", "3 24.581 7.4384 ... 4.9460 85.7275 \n", "4 24.745 7.4378 ... 4.9481 84.9202 \n", "\n", " [Swedish krona ] [Singapore dollar ] [Slovenian tolar ] [Slovak koruna ] \\\n", "0 10.3038 1.5344 NaN NaN \n", "1 10.2839 1.5356 NaN NaN \n", "2 10.3265 1.5388 NaN NaN \n", "3 10.2545 1.5340 NaN NaN \n", "4 10.2808 1.5310 NaN NaN \n", "\n", " [Thai baht ] [Turkish lira ] [US dollar ] [South African rand ] \n", "0 38.0740 15.7183 1.1318 17.6999 \n", "1 38.0740 15.7206 1.1298 17.6701 \n", "2 37.9620 15.5504 1.1315 17.7932 \n", "3 37.6070 15.2446 1.1319 17.9369 \n", "4 37.5820 15.1384 1.1279 18.1080 \n", "\n", "[5 rows x 41 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Knowing the dataset\n", "exchange_rates.head()" ] }, { "cell_type": "code", "execution_count": 4, "id": "cfc5003f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 5958 entries, 0 to 5957\n", "Data columns (total 41 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Period\\Unit: 5958 non-null object \n", " 1 [Australian dollar ] 5958 non-null object \n", " 2 [Bulgarian lev ] 5556 non-null object \n", " 3 [Brazilian real ] 5690 non-null object \n", " 4 [Canadian dollar ] 5958 non-null object \n", " 5 [Swiss franc ] 5958 non-null object \n", " 6 [Chinese yuan renminbi ] 5690 non-null object \n", " 7 [Cypriot pound ] 2346 non-null object \n", " 8 [Czech koruna ] 5958 non-null object \n", " 9 [Danish krone ] 5958 non-null object \n", " 10 [Estonian kroon ] 3130 non-null object \n", " 11 [UK pound sterling ] 5958 non-null object \n", " 12 [Greek drachma ] 520 non-null object \n", " 13 [Hong Kong dollar ] 5958 non-null object \n", " 14 [Croatian kuna ] 5690 non-null object \n", " 15 [Hungarian forint ] 5958 non-null object \n", " 16 [Indonesian rupiah ] 5958 non-null object \n", " 17 [Israeli shekel ] 5690 non-null object \n", " 18 [Indian rupee ] 5690 non-null object \n", " 19 [Iceland krona ] 3551 non-null float64\n", " 20 [Japanese yen ] 5958 non-null object \n", " 21 [Korean won ] 5958 non-null object \n", " 22 [Lithuanian litas ] 4159 non-null object \n", " 23 [Latvian lats ] 3904 non-null object \n", " 24 [Maltese lira ] 2346 non-null object \n", " 25 [Mexican peso ] 5958 non-null object \n", " 26 [Malaysian ringgit ] 5958 non-null object \n", " 27 [Norwegian krone ] 5958 non-null object \n", " 28 [New Zealand dollar ] 5958 non-null object \n", " 29 [Philippine peso ] 5958 non-null object \n", " 30 [Polish zloty ] 5958 non-null object \n", " 31 [Romanian leu ] 5896 non-null float64\n", " 32 [Russian rouble ] 5958 non-null object \n", " 33 [Swedish krona ] 5958 non-null object \n", " 34 [Singapore dollar ] 5958 non-null object \n", " 35 [Slovenian tolar ] 2085 non-null object \n", " 36 [Slovak koruna ] 2608 non-null object \n", " 37 [Thai baht ] 5958 non-null object \n", " 38 [Turkish lira ] 5896 non-null float64\n", " 39 [US dollar ] 5958 non-null object \n", " 40 [South African rand ] 5958 non-null object \n", "dtypes: float64(3), object(38)\n", "memory usage: 1.9+ MB\n" ] } ], "source": [ "exchange_rates.info()" ] }, { "cell_type": "markdown", "id": "d7e35cad", "metadata": {}, "source": [ "## Cleaning the Data" ] }, { "cell_type": "code", "execution_count": 5, "id": "8b8810e6", "metadata": {}, "outputs": [], "source": [ "# Changing columns names\n", "exchange_rates.rename(columns = {'[US dollar ]': 'US_dollar', 'Period\\\\Unit:': 'Time', '[Australian dollar ]': 'AUS_dollar', '[Swiss franc ]': 'Swiss_franc', '[UK pound sterling ]': 'UK_pound'},\n", " inplace = True)" ] }, { "cell_type": "code", "execution_count": 6, "id": "30764151", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 5958 entries, 0 to 5957\n", "Data columns (total 41 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Time 5958 non-null datetime64[ns]\n", " 1 AUS_dollar 5958 non-null object \n", " 2 [Bulgarian lev ] 5556 non-null object \n", " 3 [Brazilian real ] 5690 non-null object \n", " 4 [Canadian dollar ] 5958 non-null object \n", " 5 Swiss_franc 5958 non-null object \n", " 6 [Chinese yuan renminbi ] 5690 non-null object \n", " 7 [Cypriot pound ] 2346 non-null object \n", " 8 [Czech koruna ] 5958 non-null object \n", " 9 [Danish krone ] 5958 non-null object \n", " 10 [Estonian kroon ] 3130 non-null object \n", " 11 UK_pound 5958 non-null object \n", " 12 [Greek drachma ] 520 non-null object \n", " 13 [Hong Kong dollar ] 5958 non-null object \n", " 14 [Croatian kuna ] 5690 non-null object \n", " 15 [Hungarian forint ] 5958 non-null object \n", " 16 [Indonesian rupiah ] 5958 non-null object \n", " 17 [Israeli shekel ] 5690 non-null object \n", " 18 [Indian rupee ] 5690 non-null object \n", " 19 [Iceland krona ] 3551 non-null float64 \n", " 20 [Japanese yen ] 5958 non-null object \n", " 21 [Korean won ] 5958 non-null object \n", " 22 [Lithuanian litas ] 4159 non-null object \n", " 23 [Latvian lats ] 3904 non-null object \n", " 24 [Maltese lira ] 2346 non-null object \n", " 25 [Mexican peso ] 5958 non-null object \n", " 26 [Malaysian ringgit ] 5958 non-null object \n", " 27 [Norwegian krone ] 5958 non-null object \n", " 28 [New Zealand dollar ] 5958 non-null object \n", " 29 [Philippine peso ] 5958 non-null object \n", " 30 [Polish zloty ] 5958 non-null object \n", " 31 [Romanian leu ] 5896 non-null float64 \n", " 32 [Russian rouble ] 5958 non-null object \n", " 33 [Swedish krona ] 5958 non-null object \n", " 34 [Singapore dollar ] 5958 non-null object \n", " 35 [Slovenian tolar ] 2085 non-null object \n", " 36 [Slovak koruna ] 2608 non-null object \n", " 37 [Thai baht ] 5958 non-null object \n", " 38 [Turkish lira ] 5896 non-null float64 \n", " 39 US_dollar 5958 non-null object \n", " 40 [South African rand ] 5958 non-null object \n", "dtypes: datetime64[ns](1), float64(3), object(37)\n", "memory usage: 1.9+ MB\n" ] } ], "source": [ "# Changing Time column\n", "exchange_rates['Time'] = pd.to_datetime(exchange_rates['Time'])\n", "exchange_rates.sort_values('Time', inplace = True)\n", "exchange_rates.reset_index(drop = True, inplace = True)\n", "exchange_rates.info()" ] }, { "cell_type": "code", "execution_count": 7, "id": "fb58bd86", "metadata": {}, "outputs": [], "source": [ "# Selecting the currencies\n", "euro_to_USdollar=exchange_rates.copy()[[\"Time\", \"US_dollar\"]]\n", "\n", "euro_to_UKpound=exchange_rates.copy()[[\"Time\", \"UK_pound\"]]\n", "\n", "euro_to_AUSdollar=exchange_rates.copy()[[\"Time\", \"AUS_dollar\"]]\n", "\n", "euro_to_SwissF=exchange_rates.copy()[[\"Time\", \"Swiss_franc\"]]" ] }, { "cell_type": "code", "execution_count": 8, "id": "dae25ed5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "- 62\n", "1.2276 9\n", "1.1215 8\n", "1.1305 7\n", "1.2143 6\n", " ..\n", "1.3196 1\n", "0.9009 1\n", "1.3255 1\n", "0.8917 1\n", "1.1334 1\n", "Name: US_dollar, Length: 3592, dtype: int64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspecting value_counts\n", "euro_to_USdollar[\"US_dollar\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 9, "id": "bbb4b354", "metadata": {}, "outputs": [], "source": [ "# Excluding \"-\"\n", "euro_to_USdollar=euro_to_USdollar[euro_to_USdollar[\"US_dollar\"]!=\"-\"]" ] }, { "cell_type": "code", "execution_count": 10, "id": "bc244673", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 5896 entries, 0 to 5957\n", "Data columns (total 2 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Time 5896 non-null datetime64[ns]\n", " 1 US_dollar 5896 non-null float64 \n", "dtypes: datetime64[ns](1), float64(1)\n", "memory usage: 138.2 KB\n" ] } ], "source": [ "# Transforming into float type\n", "euro_to_USdollar.loc[:,\"US_dollar\"]=euro_to_USdollar.loc[:,\"US_dollar\"].astype(float)\n", "euro_to_USdollar.info()" ] }, { "cell_type": "code", "execution_count": 11, "id": "09350bac", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "- 62\n", "0.87750 7\n", "0.67930 7\n", "0.68880 7\n", "0.90430 7\n", " ..\n", "0.82215 1\n", "0.82750 1\n", "0.84535 1\n", "0.83945 1\n", "0.83593 1\n", "Name: UK_pound, Length: 3609, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspecting value_counts\n", "euro_to_UKpound[\"UK_pound\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 12, "id": "c138881d", "metadata": {}, "outputs": [], "source": [ "# Excluding \"-\"\n", "euro_to_UKpound=euro_to_UKpound[euro_to_UKpound[\"UK_pound\"]!=\"-\"]" ] }, { "cell_type": "code", "execution_count": 13, "id": "a4a9499e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 5896 entries, 0 to 5957\n", "Data columns (total 2 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Time 5896 non-null datetime64[ns]\n", " 1 UK_pound 5896 non-null float64 \n", "dtypes: datetime64[ns](1), float64(1)\n", "memory usage: 138.2 KB\n" ] } ], "source": [ "# Transforming into float type\n", "euro_to_UKpound.loc[:,\"UK_pound\"]=euro_to_UKpound.loc[:,\"UK_pound\"].astype(float)\n", "euro_to_UKpound.info()" ] }, { "cell_type": "code", "execution_count": 14, "id": "fa421906", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "- 62\n", "1.6242 8\n", "1.5781 8\n", "1.6194 7\n", "1.5840 7\n", " ..\n", "1.9587 1\n", "1.9679 1\n", "1.9624 1\n", "1.9840 1\n", "1.5600 1\n", "Name: AUS_dollar, Length: 3535, dtype: int64" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspecting value_counts\n", "euro_to_AUSdollar[\"AUS_dollar\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 15, "id": "26e10b3a", "metadata": {}, "outputs": [], "source": [ "# Excluding \"-\"\n", "euro_to_AUSdollar=euro_to_AUSdollar[euro_to_AUSdollar[\"AUS_dollar\"]!=\"-\"]" ] }, { "cell_type": "code", "execution_count": 16, "id": "a61cd64b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 5896 entries, 0 to 5957\n", "Data columns (total 2 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Time 5896 non-null datetime64[ns]\n", " 1 AUS_dollar 5896 non-null float64 \n", "dtypes: datetime64[ns](1), float64(1)\n", "memory usage: 138.2 KB\n" ] } ], "source": [ "# Transforming into float type\n", "euro_to_AUSdollar.loc[:,\"AUS_dollar\"]=euro_to_AUSdollar.loc[:,\"AUS_dollar\"].astype(float)\n", "euro_to_AUSdollar.info()" ] }, { "cell_type": "code", "execution_count": 17, "id": "76f3342a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "- 62\n", "1.2010 45\n", "1.2011 13\n", "1.2009 13\n", "1.2014 10\n", " ..\n", "1.4511 1\n", "1.4516 1\n", "1.4527 1\n", "1.4638 1\n", "1.0395 1\n", "Name: Swiss_franc, Length: 2980, dtype: int64" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspecting value_counts\n", "euro_to_SwissF[\"Swiss_franc\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 18, "id": "f5afc5ba", "metadata": {}, "outputs": [], "source": [ "# Excluding \"-\"\n", "euro_to_SwissF=euro_to_SwissF[euro_to_SwissF[\"Swiss_franc\"]!=\"-\"]" ] }, { "cell_type": "code", "execution_count": 19, "id": "f7e26f38", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 5896 entries, 0 to 5957\n", "Data columns (total 2 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Time 5896 non-null datetime64[ns]\n", " 1 Swiss_franc 5896 non-null float64 \n", "dtypes: datetime64[ns](1), float64(1)\n", "memory usage: 138.2 KB\n" ] } ], "source": [ "# Transforming into float type\n", "euro_to_SwissF.loc[:,\"Swiss_franc\"]=euro_to_SwissF.loc[:,\"Swiss_franc\"].astype(float)\n", "euro_to_SwissF.info()" ] }, { "cell_type": "markdown", "id": "b2a5812f", "metadata": {}, "source": [ "## Exploratory Data Analysis (EDA)\n", "- Many factors can [influence currency exchange rates](https://canamcurrencyexchange.com/9-factors-that-influence-currency-exchange-rates/), like inflation, interest rates and economic health. Some historical facts had a huge impact on several of these aspects and can modify the exchange rates, for example, the global financial crisis in 2008. \n", "- On this project, we want to analyse the COVID-19 pandemic impact, that started in 2020 and we are still facing this problem in 2022.\n", "- To start visualizing our data, we'll look at the exchange rates between the Euro and the other currencies in the whole time period of the dataset (1999-2022) and the exchange rates in the pandemic period (2020-2022). Our graph of the pandemic period will start in 2019 to get a better observation of how it was the exchange rates right before the COVID-19." ] }, { "cell_type": "markdown", "id": "cb9c8040", "metadata": {}, "source": [ "### 1. Euro to US Dollar:" ] }, { "cell_type": "code", "execution_count": 20, "id": "7fe729a1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUS_dollar
4732000-10-260.8252
\n", "
" ], "text/plain": [ " Time US_dollar\n", "473 2000-10-26 0.8252" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_USdollar[euro_to_USdollar['US_dollar'] == euro_to_USdollar['US_dollar'].min()]" ] }, { "cell_type": "code", "execution_count": 21, "id": "961cc206", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUS_dollar
24862008-07-151.599
\n", "
" ], "text/plain": [ " Time US_dollar\n", "2486 2008-07-15 1.599" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_USdollar[euro_to_USdollar['US_dollar'] == euro_to_USdollar['US_dollar'].max()]" ] }, { "cell_type": "code", "execution_count": 22, "id": "9b1bd00b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.1988673677069202" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mean\n", "euro_to_USdollar['US_dollar'].mean()" ] }, { "cell_type": "code", "execution_count": 23, "id": "c44e4e56", "metadata": {}, "outputs": [], "source": [ "# Using rolling mean (moving average) to smooth the graph line\n", "euro_to_USdollar['rolling_mean'] = euro_to_USdollar['US_dollar'].rolling(30).mean()" ] }, { "cell_type": "code", "execution_count": 24, "id": "7a6b0315", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the whole period\n", "plt.plot(euro_to_USdollar['Time'], euro_to_USdollar['rolling_mean'])\n", "plt.axhline(y=euro_to_USdollar['US_dollar'].mean(), color='red')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "id": "ee58dc04", "metadata": {}, "outputs": [], "source": [ "# Slicing the 2019-2022 period\n", "euro_to_USdollar_19=euro_to_USdollar.copy()[euro_to_USdollar['Time'].dt.year >= 2019]" ] }, { "cell_type": "code", "execution_count": 26, "id": "09fab7bd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUS_dollarrolling_mean
54932020-03-201.07071.09995
\n", "
" ], "text/plain": [ " Time US_dollar rolling_mean\n", "5493 2020-03-20 1.0707 1.09995" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_USdollar_19[euro_to_USdollar_19['US_dollar'] == euro_to_USdollar_19['US_dollar'].min()]" ] }, { "cell_type": "code", "execution_count": 27, "id": "6a57180a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUS_dollarrolling_mean
56962021-01-061.23381.213987
\n", "
" ], "text/plain": [ " Time US_dollar rolling_mean\n", "5696 2021-01-06 1.2338 1.213987" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_USdollar_19[euro_to_USdollar_19['US_dollar'] == euro_to_USdollar_19['US_dollar'].max()]" ] }, { "cell_type": "code", "execution_count": 28, "id": "d06bb165", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the 2019-2022 period\n", "plt.plot(euro_to_USdollar_19['Time'], euro_to_USdollar_19['US_dollar'])\n", "plt.xticks(rotation=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "8a0718b7", "metadata": {}, "source": [ "- Looking the first ghaph, we can observe the varations during the whole time period. We can see that from the end of 2003, the euro starts to cost more than one US dollar, and keeps this way until today.\n", "- The Maximum value the Euro gets over the US dollar is 1.599 in July of 2008. And the Minimum value is 0.8252 in October of 2000. The range between both currencies is 0.7738.\n", "- Comparing the both graphics, we can see that in the beginning of 2020 the exchange rate keeps decreasing (but since 2019 is decreasing) and it reaches the minimum value for this period (2019-2022) in March of 2020, with the value of 1.0707. It keeps rising until January of 2021, with the value of 1.2338.\n", "- Despite the pandemic, the exchange rate is still above 1 and it's not far from the mean (1.1988), the range in this period was 0.1631." ] }, { "cell_type": "markdown", "id": "dc381494", "metadata": {}, "source": [ "### 2. Euro to UK Pound" ] }, { "cell_type": "code", "execution_count": 29, "id": "54a4fb6b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUK_pound
3472000-05-030.5711
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" ], "text/plain": [ " Time UK_pound\n", "347 2000-05-03 0.5711" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_UKpound[euro_to_UKpound['UK_pound'] == euro_to_UKpound['UK_pound'].min()]" ] }, { "cell_type": "code", "execution_count": 30, "id": "b928eec8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
TimeUK_pound
26052008-12-290.97855
\n", "
" ], "text/plain": [ " Time UK_pound\n", "2605 2008-12-29 0.97855" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_UKpound[euro_to_UKpound['UK_pound'] == euro_to_UKpound['UK_pound'].max()]" ] }, { "cell_type": "code", "execution_count": 31, "id": "4f369176", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.7719652798507461" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mean\n", "euro_to_UKpound['UK_pound'].mean()" ] }, { "cell_type": "code", "execution_count": 32, "id": "8df30f16", "metadata": {}, "outputs": [], "source": [ "# Using rolling mean (moving average) to smooth the graph line\n", "euro_to_UKpound['rolling_mean'] = euro_to_UKpound['UK_pound'].rolling(30).mean()" ] }, { "cell_type": "code", "execution_count": 33, "id": "4f2babc3", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the whole period\n", "plt.plot(euro_to_UKpound['Time'], euro_to_UKpound['rolling_mean'])\n", "plt.axhline(y=euro_to_UKpound['UK_pound'].mean(), color='red')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 34, "id": "19ea09f2", "metadata": {}, "outputs": [], "source": [ "# Slicing the 2019-2022 period\n", "euro_to_UKpound_19=euro_to_UKpound.copy()[euro_to_UKpound['Time'].dt.year >= 2019]" ] }, { "cell_type": "code", "execution_count": 35, "id": "ee1a6bda", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUK_poundrolling_mean
54702020-02-180.829850.845843
\n", "
" ], "text/plain": [ " Time UK_pound rolling_mean\n", "5470 2020-02-18 0.82985 0.845843" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_UKpound_19[euro_to_UKpound_19['UK_pound'] == euro_to_UKpound_19['UK_pound'].min()]" ] }, { "cell_type": "code", "execution_count": 36, "id": "b8416865", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeUK_poundrolling_mean
54922020-03-190.929850.861611
\n", "
" ], "text/plain": [ " Time UK_pound rolling_mean\n", "5492 2020-03-19 0.92985 0.861611" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_UKpound_19[euro_to_UKpound_19['UK_pound'] == euro_to_UKpound_19['UK_pound'].max()]" ] }, { "cell_type": "code", "execution_count": 37, "id": "d2973eeb", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the 2019-2022 period\n", "plt.plot(euro_to_UKpound_19['Time'], euro_to_UKpound_19['UK_pound'])\n", "plt.xticks(rotation=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "39ff71c6", "metadata": {}, "source": [ "- Looking the first ghaph, we can observe the varations during the whole time period. We can see that in the year of 2008, the euro rise and it keeps above the mean (0.7719), except in 2016.\n", "- The Maximum value the Euro gets over the UK pound is 0.97855 in December of 2008. And the Minimum value is 0.5711 in May of 2000. The range between both currencies is 0.401.\n", "- Comparing the both graphics, we can see that in the beginning of 2020 the exchange rate keeps the same pattern of 2019 and it reaches the minimum value for this period (2019-2022) in February of 2020, with the value of 0.82985. The maximum is reached just one month later, in March of 2020, with the value of 0.92985. \n", "- Despite the pandemic, the range between the maximum and the minimum value in this period is just 0.1." ] }, { "cell_type": "markdown", "id": "93a9f2bf", "metadata": {}, "source": [ "### 3. Euro to Australian Dollar" ] }, { "cell_type": "code", "execution_count": 38, "id": "10e4d365", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeAUS_dollar
35482012-08-091.1639
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" ], "text/plain": [ " Time AUS_dollar\n", "3548 2012-08-09 1.1639" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_AUSdollar[euro_to_AUSdollar['AUS_dollar'] == euro_to_AUSdollar['AUS_dollar'].min()]" ] }, { "cell_type": "code", "execution_count": 39, "id": "c580090d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeAUS_dollar
25982008-12-182.0735
\n", "
" ], "text/plain": [ " Time AUS_dollar\n", "2598 2008-12-18 2.0735" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_AUSdollar[euro_to_AUSdollar['AUS_dollar'] == euro_to_AUSdollar['AUS_dollar'].max()]" ] }, { "cell_type": "code", "execution_count": 40, "id": "71db5b7e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.5794035956580732" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mean\n", "euro_to_AUSdollar['AUS_dollar'].mean()" ] }, { "cell_type": "code", "execution_count": 41, "id": "040f4868", "metadata": {}, "outputs": [], "source": [ "# Using rolling mean (moving average) to smooth the graph line\n", "euro_to_AUSdollar['rolling_mean'] = euro_to_AUSdollar['AUS_dollar'].rolling(30).mean()" ] }, { "cell_type": "code", "execution_count": 42, "id": "99f25047", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the whole period\n", "plt.plot(euro_to_AUSdollar['Time'], euro_to_AUSdollar['rolling_mean'])\n", "plt.axhline(y=euro_to_AUSdollar['AUS_dollar'].mean(), color='red')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 43, "id": "cde647a6", "metadata": {}, "outputs": [], "source": [ "# Slicing the 2019-2022 period\n", "euro_to_AUSdollar_19=euro_to_AUSdollar.copy()[euro_to_AUSdollar['Time'].dt.year >= 2019]" ] }, { "cell_type": "code", "execution_count": 44, "id": "3f96b845", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeAUS_dollarrolling_mean
57322021-02-251.53171.565337
\n", "
" ], "text/plain": [ " Time AUS_dollar rolling_mean\n", "5732 2021-02-25 1.5317 1.565337" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_AUSdollar_19[euro_to_AUSdollar_19['AUS_dollar'] == euro_to_AUSdollar_19['AUS_dollar'].min()]" ] }, { "cell_type": "code", "execution_count": 45, "id": "7c1932ef", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeAUS_dollarrolling_mean
54922020-03-191.86351.691467
\n", "
" ], "text/plain": [ " Time AUS_dollar rolling_mean\n", "5492 2020-03-19 1.8635 1.691467" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_AUSdollar_19[euro_to_AUSdollar_19['AUS_dollar'] == euro_to_AUSdollar_19['AUS_dollar'].max()]" ] }, { "cell_type": "code", "execution_count": 46, "id": "49fcbd6c", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the 2019-2022 period\n", "plt.plot(euro_to_AUSdollar_19['Time'], euro_to_AUSdollar_19['AUS_dollar'])\n", "plt.xticks(rotation=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "a85e2ee7", "metadata": {}, "source": [ "- Looking the first ghaph, we can observe the varations during the whole time period. We can see that from 1999 to 2010, the euro more than the average (1.5794), and keeps bellow until 2018.\n", "- The Maximum value the Euro gets over the AUS dollar is 2.0735 in December of 2008. And the Minimum value is 1.1639 in August of 2012. The total range is 0.9096.\n", "- Comparing the both graphics, we can see that in the beginning of 2020 the exchange rate reaches the maximum value (1.8632) in the month of March, but soon comes back to the range it was since 2019 (between 1.55 and 1.65). The minimum value for this period (2019-2022) occurs in February of 2020, with the value of 1.5317. \n", "- Despite the pandemic, the exchange rate keeps near the mean (1.5794), pattern since 2018. The range for this period is 0.3315." ] }, { "cell_type": "markdown", "id": "6f6bde29", "metadata": {}, "source": [ "### 4. Euro to Swiss Franc" ] }, { "cell_type": "code", "execution_count": 47, "id": "7c9769d7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeSwiss_franc
41742015-01-230.9816
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" ], "text/plain": [ " Time Swiss_franc\n", "4174 2015-01-23 0.9816" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_SwissF[euro_to_SwissF['Swiss_franc'] == euro_to_SwissF['Swiss_franc'].min()]" ] }, { "cell_type": "code", "execution_count": 48, "id": "628860ad", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeSwiss_franc
22892007-10-121.6803
\n", "
" ], "text/plain": [ " Time Swiss_franc\n", "2289 2007-10-12 1.6803" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_SwissF[euro_to_SwissF['Swiss_franc'] == euro_to_SwissF['Swiss_franc'].max()]" ] }, { "cell_type": "code", "execution_count": 49, "id": "bcbe8e16", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.3481505766621438" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mean\n", "euro_to_SwissF['Swiss_franc'].mean()" ] }, { "cell_type": "code", "execution_count": 50, "id": "0fe6b88d", "metadata": {}, "outputs": [], "source": [ "# Using rolling mean (moving average) to smooth the graph line\n", "euro_to_SwissF['rolling_mean'] = euro_to_SwissF['Swiss_franc'].rolling(30).mean()" ] }, { "cell_type": "code", "execution_count": 51, "id": "350ec4ff", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the whole period\n", "plt.plot(euro_to_SwissF['Time'], euro_to_SwissF['rolling_mean'])\n", "plt.axhline(y=euro_to_SwissF['Swiss_franc'].mean(), color='red')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 52, "id": "1e1be215", "metadata": {}, "outputs": [], "source": [ "# Slicing the 2019-2022 period\n", "euro_to_SwissF_19=euro_to_SwissF.copy()[euro_to_SwissF['Time'].dt.year >= 2019]" ] }, { "cell_type": "code", "execution_count": 53, "id": "e17b5b89", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeSwiss_francrolling_mean
59512021-12-311.03311.042043
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" ], "text/plain": [ " Time Swiss_franc rolling_mean\n", "5951 2021-12-31 1.0331 1.042043" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Minimum value\n", "euro_to_SwissF_19[euro_to_SwissF_19['Swiss_franc'] == euro_to_SwissF_19['Swiss_franc'].min()]" ] }, { "cell_type": "code", "execution_count": 54, "id": "7fb16676", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TimeSwiss_francrolling_mean
52592019-04-231.1471.129477
\n", "
" ], "text/plain": [ " Time Swiss_franc rolling_mean\n", "5259 2019-04-23 1.147 1.129477" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Maximum value\n", "euro_to_SwissF_19[euro_to_SwissF_19['Swiss_franc'] == euro_to_SwissF_19['Swiss_franc'].max()]" ] }, { "cell_type": "code", "execution_count": 55, "id": "f5265010", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Graph of the 2019-2022 period\n", "plt.plot(euro_to_SwissF_19['Time'], euro_to_SwissF_19['Swiss_franc'])\n", "plt.xticks(rotation=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3c26d2e5", "metadata": {}, "source": [ "- Looking the first ghaph, we can that until 2011, the exchange rate is above the mean (1.3481). After reaching the maximum value in October of 2007 (1.6803), it decreased 0.6987 until the minimun value (0.9816), in January of 2015.\n", "- Comparing the both graphics, we can see that in April of 2019 (before the pandemic) the exchange reaches its maximum value for the 2019-2022 period. The minimum value is 1.031, reached in December of 2021. \n", "- Despite the pandemic, the exchange rate is in the same range since 2015, and for the 2019-2022 period, the difference between the maximum and the minimum value is just 0.116." ] }, { "cell_type": "markdown", "id": "ea600f9f", "metadata": {}, "source": [ "## Data Visualization" ] }, { "cell_type": "code", "execution_count": 56, "id": "43f09205", "metadata": {}, "outputs": [], "source": [ "style.use(\"fivethirtyeight\")" ] }, { "cell_type": "code", "execution_count": 57, "id": "9ff050d2", "metadata": {}, "outputs": [], "source": [ "#2016-2019:\n", "euro_to_USdollar_16 = euro_to_USdollar.copy()[(euro_to_USdollar['Time'].dt.year >= 2016) & (euro_to_USdollar['Time'].dt.year <= 2019)]\n", "euro_to_UKpound_16 = euro_to_UKpound.copy()[(euro_to_UKpound['Time'].dt.year >= 2016) & (euro_to_UKpound['Time'].dt.year <= 2019)]\n", "euro_to_AUSdollar_16 = euro_to_AUSdollar.copy()[(euro_to_AUSdollar['Time'].dt.year >= 2016) & (euro_to_AUSdollar['Time'].dt.year <= 2019)]\n", "euro_to_SwissF_16 = euro_to_SwissF.copy()[(euro_to_SwissF['Time'].dt.year >= 2016) & (euro_to_SwissF['Time'].dt.year <= 2019)]\n", "\n", "#2020-2022:\n", "euro_to_USdollar_20 =euro_to_USdollar.copy()[(euro_to_USdollar['Time'].dt.year >= 2020) & (euro_to_USdollar['Time'].dt.year <= 2022)]\n", "euro_to_UKpound_20 =euro_to_UKpound.copy()[(euro_to_UKpound['Time'].dt.year >= 2020) & (euro_to_UKpound['Time'].dt.year <= 2022)]\n", "euro_to_AUSdollar_20 =euro_to_AUSdollar.copy()[(euro_to_AUSdollar['Time'].dt.year >= 2020) & (euro_to_AUSdollar['Time'].dt.year <= 2022)]\n", "euro_to_SwissF_20 =euro_to_SwissF.copy()[(euro_to_SwissF['Time'].dt.year >= 2020) & (euro_to_SwissF['Time'].dt.year <= 2022)]" ] }, { "cell_type": "code", "execution_count": 58, "id": "0dcd3cee", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.05, -0.03, '©Ana Luiza Miranda Source: European Central Bank')" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Create the plot area and structure\n", "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(\n", " ncols=2,\n", " nrows=2,\n", " figsize=(18, 9))\n", "\n", "ax1.plot(euro_to_USdollar_16['Time'], euro_to_USdollar_16['rolling_mean'],color='lightblue')\n", "ax1.plot(euro_to_USdollar_20['Time'], euro_to_USdollar_20['rolling_mean'],color='green' )\n", "ax1.set_ylim(1, 1.3) \n", "ax1.set_yticks([1.0,1.1, 1.2,1.3])\n", "ax1.set_yticklabels([1.0,1.1, 1.2,1.3])\n", "ax1.tick_params(colors='#948484', which='both', labelsize=12)\n", "ax1.set_xticklabels([])\n", "ax1.yaxis.grid(False)\n", "#ax1.set_yticklabels([])\n", "ax1.axhline(1.1436,c=\"black\", linewidth=2.5, alpha=0.8)\n", "ax1.text(x=16530,y=1.155, s=\"m*=1.14\", size=11)\n", "ax1.annotate('Mar-2020', xy=(18400, 1.08), xytext=(18500, 1),\n", " arrowprops=dict(facecolor='black', shrink=0.05),\n", " )\n", "ax1.title.set_text('Euro/US Dollar')\n", "\n", "ax2.plot(euro_to_UKpound_16['Time'], euro_to_UKpound_16['rolling_mean'],color='lightblue')\n", "ax2.plot(euro_to_UKpound_20['Time'], euro_to_UKpound_20['rolling_mean'],color='green' )\n", "ax2.set_ylim(0.7, 1) \n", "ax2.set_yticks([0.7,0.8, 0.9, 1])\n", "ax2.set_yticklabels([0.7,0.8, 0.9, 1])\n", "ax2.tick_params(colors='#948484', which='both', labelsize=12)\n", "ax2.set_xticklabels([])\n", "ax2.yaxis.grid(False)\n", "#ax2.set_yticklabels([])\n", "ax2.axhline(0.8678,c=\"black\", linewidth=2.5, alpha=0.8)\n", "ax2.text(x=16530,y=0.875, s=\"m*=0.86\", size=11)\n", "ax2.annotate('Mar-2020', xy=(18400, 0.91), xytext=(18500, 1),\n", " arrowprops=dict(facecolor='black', shrink=0.05),\n", " )\n", "ax2.title.set_text('Euro/UK Pound')\n", "\n", "ax3.plot(euro_to_AUSdollar_16['Time'], euro_to_AUSdollar_16['rolling_mean'],color='lightblue')\n", "ax3.plot(euro_to_AUSdollar_20['Time'], euro_to_AUSdollar_20['rolling_mean'],color='green' )\n", "ax3.set_ylim(1.3, 1.9) \n", "ax3.set_yticks([1.3, 1.5, 1.7, 1.9])\n", "ax3.set_yticklabels([1.3, 1.5, 1.7, 1.9])\n", "ax3.tick_params(colors='#948484', which='both', labelsize=12)\n", "ax3.yaxis.grid(False)\n", "#ax3.set_yticklabels([])\n", "ax3.axhline(1.5637,c=\"black\", linewidth=2.5, alpha=0.8)\n", "ax3.text(x=16530,y=1.58, s=\"m*=1.56\", size=11)\n", "ax3.annotate('Mar-2020', xy=(18360, 1.77), xytext=(18500, 1.86),\n", " arrowprops=dict(facecolor='black', shrink=0.05),\n", " )\n", "ax3.title.set_text('Euro/AUS Dollar')\n", "\n", "ax4.plot(euro_to_SwissF_16['Time'], euro_to_SwissF_16['rolling_mean'],color='lightblue')\n", "ax4.plot(euro_to_SwissF_20['Time'], euro_to_SwissF_20['rolling_mean'],color='green' )\n", "ax4.set_ylim(1, 1.2) \n", "ax4.set_yticks([1, 1.1, 1.15, 1.2])\n", "ax4.set_yticklabels([1, 1.1, 1.15, 1.2])\n", "ax4.tick_params(colors='#948484', which='both', labelsize=12)\n", "ax4.yaxis.grid(False)\n", "#ax4.set_yticklabels([])\n", "ax4.axhline(1.1,c=\"black\", linewidth=2.5, alpha=0.8)\n", "ax4.text(x=16530,y=1.11, s=\"m*=1.1\", size=11)\n", "ax4.annotate('Mar-2020', xy=(18400, 1.05), xytext=(18500, 1),\n", " arrowprops=dict(facecolor='black', shrink=0.05),\n", " )\n", "ax4.title.set_text('Euro/Swiss Franc')\n", "\n", "#Title and subtitle:\n", "fig.text(x=0.18,y=1.08,s=\"Despite COVID-19 pandemic, euro remains broadly stable\",size=25, weight=\"bold\")\n", "fig.text(x=0.15,y=1.03,s=\"Comparing the exchange rates of four strong currencies, there wasn't big variations\",size=21)\n", "fig.text(x=0.28,y=0.98, s=\"(less than 0.3) since the first cases (March, 2020)\",size=21)\n", "\n", "#r description\n", "fig.text(x=0.05,y=0, s=\"*m means the mean for the period (2016-2022)\", size=13)\n", "\n", "#Foot signature/source of graph:\n", "fig.text(x=0.05, y=-0.03,s='©Ana Luiza Miranda' +' '*78 +\"Source: European Central Bank\", backgroundcolor=\"#4d4d4d\", size=13,color=\"#f0f0f0\")" ] }, { "cell_type": "markdown", "id": "d90c62dc", "metadata": { "tags": [] }, "source": [ "## Conclusion\n", "- In this Project, we used the Exchange rate data from the European Central Bank since 1999 until January of 2022.\n", "- Our goal was analyse the impact of the COVID-19 in the Exchange rates of the Euro with other strong currencies (US Dollar, UK Pound, AUS Dollar and Swiss Franc). \n", "- In the Exploratory Data Analysis section, we analysed the Exchange rate in the whole period of time and in the COVID-19 period (2020-2022). We found that the range of the Exchange rate in this period was short (arround 0.1 for the US Dollar, UK Pound and Swiss Franc and arround 0.3 for the AUS Dollar). Comparing with other historical facts, like the financial crisis in 2008, the Euro was able to mantain a stability.\n", "- In the Data Visualization section, we showed a graphic comparing the Exchange rates o four study with the Euro. We highlighted with Green the line of the COVID-19 period (2020-2022) and compared with the mean of the period of 2016-2022 (m*).\n", "- For further informations, we recommend the lecture of [this article]( https://www.ecb.europa.eu/pub/ire/html/ecb.ire202106~a058f84c61.en.html#toc10) of the European Central Bank, showing why the international role of the Euro remained broadly stable at a low level over the review period (the article was published in June of 2021)." ] }, { "cell_type": "markdown", "id": "b39c00d1", "metadata": {}, "source": [ "## Apendix\n", "- Auxiliary calculations for the Data Visualization graph" ] }, { "cell_type": "code", "execution_count": 59, "id": "90957518", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.1436370706416072" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "euro_to_USdollar_g = euro_to_USdollar.copy()[(euro_to_USdollar['Time'].dt.year >= 2016) & (euro_to_USdollar['Time'].dt.year <= 2022)]\n", "euro_to_USdollar_g['US_dollar'].mean()" ] }, { "cell_type": "code", "execution_count": 60, "id": "f9348320", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8678155865197669" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "euro_to_UKpound_g = euro_to_UKpound.copy()[(euro_to_UKpound['Time'].dt.year >= 2016) & (euro_to_UKpound['Time'].dt.year <= 2022)]\n", "euro_to_UKpound_g['UK_pound'].mean()" ] }, { "cell_type": "code", "execution_count": 61, "id": "50659d2c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.5637204147764097" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "euro_to_AUSdollar_g = euro_to_AUSdollar.copy()[(euro_to_AUSdollar['Time'].dt.year >= 2016) & (euro_to_AUSdollar['Time'].dt.year <= 2022)]\n", "euro_to_AUSdollar_g['AUS_dollar'].mean()" ] }, { "cell_type": "code", "execution_count": 62, "id": "6c583232", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.1031310434219055" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "euro_to_SwissF_g = euro_to_SwissF.copy()[(euro_to_SwissF['Time'].dt.year >= 2016) & (euro_to_SwissF['Time'].dt.year <= 2022)]\n", "euro_to_SwissF_g['Swiss_franc'].mean()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }