diff --git a/exploration.ipynb b/exploration.ipynb index 75270aa324..2c5798e203 100644 --- a/exploration.ipynb +++ b/exploration.ipynb @@ -11,9 +11,10 @@ "\n", "Content:\n", "\n", - "Installed dependencies\n", - "Used Packages\n", - "Data exploration\n" + "- Installed dependencies\n", + "- Used Packages\n", + "- Load data\n", + "- Data exploration\n" ] }, { @@ -60,9 +61,7 @@ "attachments": {}, "cell_type": "markdown", "metadata": {}, - "source": [ - "As" - ] + "source": [] }, { "attachments": {}, diff --git a/project/tablefilter.py b/project/tablefilter.py index e0df07027d..0aa08b414f 100644 --- a/project/tablefilter.py +++ b/project/tablefilter.py @@ -33,7 +33,7 @@ #Filter the sums of the years teilstring = 'Jahr' sql_query = ''' -SELECT * FROM carregistration +SELECT * FROM Cars where Monat LIKE '%{}%' '''.format(teilstring) df = pd.read_sql_query(sql_query, conn) @@ -60,7 +60,7 @@ #Reverse data to match sql_query_reverse = ''' -SELECT * FROM Prize +SELECT * FROM prize ORDER BY rowid DESC ''' df = pd.read_sql_query(sql_query_reverse, conn_prize) @@ -74,7 +74,7 @@ #Filter the sums of the years sql_query = ''' -SELECT * FROM prize +SELECT * FROM Prize where Haushalte = 'Insgesamt' ''' df = pd.read_sql_query(sql_query, conn) diff --git a/report.ipynb b/report.ipynb index 21864d5a60..801b4185a5 100644 --- a/report.ipynb +++ b/report.ipynb @@ -120,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -130,8 +130,27 @@ "/Users/carstenschmotz/Documents/GitHub/2023-AMSE-cs/project/AutomatedDataPipeline.py\n", "First Download DONE \n", "Second Download DONE \n", - "Carfilter done\n", - "Energyfilter done\n" + "Carfilter done\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"/Users/carstenschmotz/Documents/GitHub/2023-AMSE-cs/project/tablefilter.py\", line 67, in \n", + " df.to_sql('Prize',conn_prize, if_exists= 'replace', index= False)\n", + " File \"/Users/carstenschmotz/opt/anaconda3/lib/python3.9/site-packages/pandas/core/generic.py\", line 2951, in to_sql\n", + " return sql.to_sql(\n", + " File \"/Users/carstenschmotz/opt/anaconda3/lib/python3.9/site-packages/pandas/io/sql.py\", line 698, in to_sql\n", + " return pandas_sql.to_sql(\n", + " File \"/Users/carstenschmotz/opt/anaconda3/lib/python3.9/site-packages/pandas/io/sql.py\", line 2192, in to_sql\n", + " table.create()\n", + " File \"/Users/carstenschmotz/opt/anaconda3/lib/python3.9/site-packages/pandas/io/sql.py\", line 843, in create\n", + " self._execute_create()\n", + " File \"/Users/carstenschmotz/opt/anaconda3/lib/python3.9/site-packages/pandas/io/sql.py\", line 1876, in _execute_create\n", + " conn.execute(stmt)\n", + "sqlite3.OperationalError: table \"Prize\" already exists\n" ] } ], @@ -166,12 +185,12 @@ "metadata": {}, "source": [ "## Do electric cars on the streets of Germany have an impact on the electricity bill?\n", - "To answer our first question, we use matplotlib.pyplot to plot two graphs. One for the number of new electric cars in Germany per year. The other to visualize the energy costs for a household in Germany per year." + "To answer our exploration question, we use matplotlib.pyplot to plot two graphs. One for the number of new electric cars in Germany per year. The other to visualize the energy costs for a household in Germany per year." ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -223,12 +242,12 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 2, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -281,13 +300,13 @@ "The graph for the car registration form 2016 to 2022 in the unit 1 million.\n", "It shows a decrease per year until 2019 and after that the number drops from 3.6 million to 2.6 million.\n", "\n", - "On the other hand, the energy bill has a range from 2022 to 2019. The data set does not get the order of the data correctly. The reverse process of the data set creates some error. \n", + "On the other hand, the energy bill has a range from 2019 to 2022.\n", "The graph shows a constant increase in energy prices in Germany.\n", "\n", "## Result.\n", "\n", "The two graphs together give the impression that the decrease in car registrations has increased energy prices. \n", - "The first question cannot be answered clearly. It can be interpreted as no, there is no effect on the prices.\n", + "The question of the exploration cannot be answered clearly. It can be interpreted as no, there is no effect on the prices.\n", "\n", "To get a clearer answer, more data needs to be examined and other variables/factors need to be taken into account.\n", "The Ukraine crisis has increased prices everywhere. Some power plants are being shut down because of environmental laws in Germany.\n", @@ -295,7 +314,7 @@ "These things and more have to be considered.\n", "\n", "## All in all \n", - "The question: Will more electric cars cause energy prices to rise?\n", + "The exploration question: Will more electric cars cause energy prices to rise?\n", "\n", "#### The answer is no." ]