added old bkm data

BelitK · Dec 19, 2020 · 9c9f43f · 9c9f43f
1 parent 7a61b46
commit 9c9f43f
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Showing 12 changed files with 2,500 additions and 21 deletions.
diff --git a/Figure_1.png b/Figure_1.png
diff --git a/Hatalıkarsi.png b/Hatalıkarsi.png
diff --git a/ISOC_EC_EVALN2$DEFAULTVIEW1608214139986.xlsx b/ISOC_EC_EVALN2$DEFAULTVIEW1608214139986.xlsx
diff --git a/Plots.ipynb b/Plots.ipynb
@@ -9,9 +9,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "RuntimeError",
+     "evalue": "The current Numpy installation ('C:\\\\Users\\\\BlkMrkT\\\\AppData\\\\Roaming\\\\Python\\\\Python38\\\\site-packages\\\\numpy\\\\__init__.py') fails to pass a sanity check due to a bug in the windows runtime. See this issue for more information: https://tinyurl.com/y3dm3h86",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[1;31mRuntimeError\u001B[0m                              Traceback (most recent call last)",
+      "\u001B[1;32m<ipython-input-1-76ff601a6a6d>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[1;32m----> 1\u001B[1;33m \u001B[1;32mimport\u001B[0m \u001B[0mpandas\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0mpd\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m      2\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mmatplotlib\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      3\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mmatplotlib\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpyplot\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0mplt\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      4\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mseaborn\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0msns\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;32m~\\AppData\\Roaming\\Python\\Python38\\site-packages\\pandas\\__init__.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m      9\u001B[0m \u001B[1;32mfor\u001B[0m \u001B[0mdependency\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mhard_dependencies\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     10\u001B[0m     \u001B[1;32mtry\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 11\u001B[1;33m         \u001B[0m__import__\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdependency\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     12\u001B[0m     \u001B[1;32mexcept\u001B[0m \u001B[0mImportError\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0me\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     13\u001B[0m         \u001B[0mmissing_dependencies\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mappend\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34mf\"{dependency}: {e}\"\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;32m~\\AppData\\Roaming\\Python\\Python38\\site-packages\\numpy\\__init__.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m    303\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    304\u001B[0m     \u001B[1;32mif\u001B[0m \u001B[0msys\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mplatform\u001B[0m \u001B[1;33m==\u001B[0m \u001B[1;34m\"win32\"\u001B[0m \u001B[1;32mand\u001B[0m \u001B[0msys\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mmaxsize\u001B[0m \u001B[1;33m>\u001B[0m \u001B[1;36m2\u001B[0m\u001B[1;33m**\u001B[0m\u001B[1;36m32\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 305\u001B[1;33m         \u001B[0m_win_os_check\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    306\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    307\u001B[0m     \u001B[1;32mdel\u001B[0m \u001B[0m_win_os_check\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;32m~\\AppData\\Roaming\\Python\\Python38\\site-packages\\numpy\\__init__.py\u001B[0m in \u001B[0;36m_win_os_check\u001B[1;34m()\u001B[0m\n\u001B[0;32m    300\u001B[0m                    \u001B[1;34m\"See this issue for more information: \"\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    301\u001B[0m                    \"https://tinyurl.com/y3dm3h86\")\n\u001B[1;32m--> 302\u001B[1;33m             \u001B[1;32mraise\u001B[0m \u001B[0mRuntimeError\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mmsg\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mformat\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0m__file__\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;32mfrom\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    303\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    304\u001B[0m     \u001B[1;32mif\u001B[0m \u001B[0msys\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mplatform\u001B[0m \u001B[1;33m==\u001B[0m \u001B[1;34m\"win32\"\u001B[0m \u001B[1;32mand\u001B[0m \u001B[0msys\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mmaxsize\u001B[0m \u001B[1;33m>\u001B[0m \u001B[1;36m2\u001B[0m\u001B[1;33m**\u001B[0m\u001B[1;36m32\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
+      "\u001B[1;31mRuntimeError\u001B[0m: The current Numpy installation ('C:\\\\Users\\\\BlkMrkT\\\\AppData\\\\Roaming\\\\Python\\\\Python38\\\\site-packages\\\\numpy\\\\__init__.py') fails to pass a sanity check due to a bug in the windows runtime. See this issue for more information: https://tinyurl.com/y3dm3h86"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import matplotlib\n",
@@ -194,8 +209,7 @@
     "total_2019=0\n",
     "for price2 in turkey_2019:\n",
     "    total_2019 += price2\n",
-    "df = pd.DataFrame([[total_2018,2018],[total_2019,2019]],columns=list(\"AB\"))\n",
-    "df"
+    "df = pd.DataFrame([[total_2018,2018],[total_2019,2019]],columns=list(\"AB\"))"
    ]
   },
   {
@@ -1104,9 +1118,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/ProjeTaslak (1).docx b/ProjeTaslak (1).docx
diff --git a/ProjeTaslak.docx b/ProjeTaslak.docx
diff --git a/kaynaklar/linkstoresearch.txt b/kaynaklar/linkstoresearch.txt
@@ -0,0 +1,19 @@
+https://data.worldbank.org/country/turkey
+https://www.kaggle.com/huseyinkilic/turkeys-mobile-banking-user-commentary-analysis
+----------------------------------------
+https://bkm.com.tr/en/e-commerce-transactions/(turkey)
+https://bkm.com.tr/en/secilen-aya-ait-sektorel-gelisim/?filter_year=2020&filter_month=1&List=List
+-----------------------------------------------
+https://github.com/Glorf/recipenlg
+----------------------------
+https://fred.stlouisfed.org/tags/series?t=e-commerce(usa)
+
+------------------------
+https://ec.europa.eu/eurostat/statistics-explained/index.php?title=E-commerce_statistics(europe)
+----------------------------------
+
+http://blog.sanalmimarlar.com/tag/e-ticaret-hacmi/
+https://www.digitaltalks.org/2020/09/13/bkm-2020-yili-agustos-ayi-verilerini-acikladi/ (makale icin)
+
+https://www.researchgate.net/publication/327348324_Turkiye%27de_E-Ticaret_Sektorunun_Yillara_Gore_Gelisimi
+
diff --git a/newtest.ipynb b/newtest.ipynb
diff --git a/plots.py b/plots.py
@@ -0,0 +1,59 @@
+import pandas as pd
+import matplotlib
+import matplotlib.pyplot as plt
+import seaborn as sns
+import plotly.graph_objects as go
+
+# american ecommerce data
+dataset_A = pd.read_excel("ecomretailfixed.xls")
+dataset_turkey = pd.read_excel("TurkeyData.xlsx")
+
+date_A = dataset_A["observation_date"]
+ecomsa_A = dataset_A["ECOMSA"]
+to_tl = []
+for price in ecomsa_A:
+    to_tl.append(price * 7.84)
+
+# Türkiye ecommerse data
+date_E = dataset_turkey["observation_date"]
+ecomsa_E = dataset_turkey["ECOMSA"]
+
+
+plt.style.use('seaborn-darkgrid')
+#plt.plot(date_A,to_tl,label="Amerika",marker=3)
+plt.plot(date_A,ecomsa_A,label="Amerika",marker=3)
+plt.plot(date_E,ecomsa_E,label="Türkiye",marker=2)
+
+plt.title("Türkiye ve Amerika E-Ticaret Piyasa Hacmi Karşılaştırması (TRY)")
+plt.xlabel("Tarihler")
+plt.ylabel("Milyar (TRY)")
+
+plt.legend()
+plt.show()
+#plt.savefig('Matplotlib_save_plot.png')
+
+turkey_2018 = dataset_turkey["ECOMSA"][28:32]
+total_2018=0
+for price in turkey_2018:
+    total_2018 += price
+
+
+turkey_2019 = dataset_turkey["ECOMSA"][32:36]
+total_2019=0
+for price2 in turkey_2019:
+    total_2019 += price2
+df = pd.DataFrame([[total_2018,2018],[total_2019,2019]],columns=list("AB"))
+
+
+
+
+labels = df["B"]
+values = df["A"]
+
+
+fig = go.Figure(data=[go.Pie(labels=labels, values=values,title="Türkiye 2018-2019 E-Ticaret Hacmi\b", textinfo='label+percent',
+                             insidetextorientation='radial'
+                            )])
+fig.show()
+
+
diff --git a/tensortest.py b/tensortest.py
diff --git a/test.py b/test.py
@@ -15,6 +15,7 @@
 # europe ecommerse data
 date_E = dataset_turkey["observation_date"]
 ecomsa_E = dataset_turkey["ECOMSA"]
+print(ecomsa_E)
 
 plt.plot(date_A,to_tl)
 plt.plot(date_E,ecomsa_E)