Updates with README

.gitignore

@@ -0,0 +1,166 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+.message.py
+test3.py
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/
+.DS_Store
+/api/slackData/
+
+node_modules/
+settings.json

Dash-Plotly/covid.py

@@ -8,106 +8,106 @@
 
 df = pd.read_csv("cleaned_data.csv")
 
-# df["Total_Tests"] = pd.to_numeric(df["Total_Tests"], errors="coerce")
-# df["Population(pop)"] = pd.to_numeric(df["Population(pop)"], errors="coerce")
+df["Total_Tests"] = pd.to_numeric(df["Total_Tests"], errors="coerce")
+df["Population(pop)"] = pd.to_numeric(df["Population(pop)"], errors="coerce")
 
-# df["Recovery_Rate"] = df["Recovered"] / df["Total_Cases"]
+df["Recovery_Rate"] = df["Recovered"] / df["Total_Cases"]
 
-# top_countries_recovery_rate = df.sort_values("Recovery_Rate", ascending=False).head(10)
+top_countries_recovery_rate = df.sort_values("Recovery_Rate", ascending=False).head(10)
 
-# app = dash.Dash(__name__)
+app = dash.Dash(__name__)
 
-# fig_total_cases = px.bar(
-#     df.sort_values("Total_Cases", ascending=False).head(10),
-#     x="Country",
-#     y="Total_Cases",
-#     title="Top 10 Countries by Total COVID-19 Cases",
-# )
+fig_total_cases = px.bar(
+    df.sort_values("Total_Cases", ascending=False).head(10),
+    x="Country",
+    y="Total_Cases",
+    title="Top 10 Countries by Total COVID-19 Cases",
+)
 
-# fig_total_deaths_pie = px.pie(
-#     df.sort_values("Total_Deaths", ascending=False).head(10),
-#     values="Total_Deaths",
-#     names="Country",
-#     title="Top 10 Countries with the most recorded Deaths",
-# )
-# fig_recovery_rate_line = px.line(
-#     top_countries_recovery_rate,
-#     x="Country",
-#     y="Recovery_Rate",
-#     title="Top 10 Countries by COVID-19 Recovery Rate",
-# )
-# stacked_bar_data = df.sort_values("Total_Cases", ascending=False).head(20)[
-#     ["Country", "Active_Cases", "Recovered", "Total_Deaths"]
-# ]
-# fig_stacked_bar = px.bar(
-#     stacked_bar_data,
-#     x="Country",
-#     y=["Active_Cases", "Recovered", "Total_Deaths"],
-#     title="Top 20 Countries by (Active, Recovered, Deaths)",
-#     barmode="stack",
-# )
+fig_total_deaths_pie = px.pie(
+    df.sort_values("Total_Deaths", ascending=False).head(10),
+    values="Total_Deaths",
+    names="Country",
+    title="Top 10 Countries with the most recorded Deaths",
+)
+fig_recovery_rate_line = px.line(
+    top_countries_recovery_rate,
+    x="Country",
+    y="Recovery_Rate",
+    title="Top 10 Countries by COVID-19 Recovery Rate",
+)
+stacked_bar_data = df.sort_values("Total_Cases", ascending=False).head(20)[
+    ["Country", "Active_Cases", "Recovered", "Total_Deaths"]
+]
+fig_stacked_bar = px.bar(
+    stacked_bar_data,
+    x="Country",
+    y=["Active_Cases", "Recovered", "Total_Deaths"],
+    title="Top 20 Countries by (Active, Recovered, Deaths)",
+    barmode="stack",
+)
 
-# fig_critical_cases = px.bar(
-#     df.sort_values("Critical_Cases", ascending=False).head(10),
-#     x="Country",
-#     y="Critical_Cases",
-#     title="Top 10 Countries with high Critical Cases",
-# )
-# fig_bubble = px.scatter(
-#     df,
-#     x="Total_Cases",
-#     y="Total_Deaths",
-#     size="Recovered",
-#     color="Country",
-#     hover_name="Country",
-#     log_x=True,
-#     log_y=True,
-#     title="Total Cases vs Total Deaths (Bubble Chart)",
-#     labels={
-#         "Total_Cases": "Total Cases",
-#         "Total_Deaths": "Total Deaths",
-#     },
-# )
+fig_critical_cases = px.bar(
+    df.sort_values("Critical_Cases", ascending=False).head(10),
+    x="Country",
+    y="Critical_Cases",
+    title="Top 10 Countries with high Critical Cases",
+)
+fig_bubble = px.scatter(
+    df,
+    x="Total_Cases",
+    y="Total_Deaths",
+    size="Recovered",
+    color="Country",
+    hover_name="Country",
+    log_x=True,
+    log_y=True,
+    title="Total Cases vs Total Deaths (Bubble Chart)",
+    labels={
+        "Total_Cases": "Total Cases",
+        "Total_Deaths": "Total Deaths",
+    },
+)
 
 
-# app.layout = html.Div(
-#     [
-#         html.H1("COVID-19 Data Visualization"),
-#         dcc.Dropdown(
-#             id="metric-dropdown",
-#             options=[
-#                 {"label": "Total Cases", "value": "Total_Cases"},
-#                 {"label": "Total Deaths", "value": "Total_Deaths"},
-#                 {"label": "Total Recoveries", "value": "Recovered"},
-#             ],
-#             value="Total_Cases",
-#         ),
-#         dcc.Graph(id="covid-graph"),
-#         html.Hr(),  # Adding a horizontal line for separation
-#         html.H2("Top 10 Countries by Various Metrics"),
-#         dcc.Graph(figure=fig_total_cases, id="fig_total_cases"),
-#         dcc.Graph(figure=fig_total_deaths_pie, id="fig_total_deaths_pie"),
-#         dcc.Graph(figure=fig_recovery_rate_line, id="fig_recovery_rate_line"),
-#         dcc.Graph(figure=fig_stacked_bar, id="fig_stacked_bar"),
-#         dcc.Graph(figure=fig_critical_cases, id="fig_critical_cases"),
-#         dcc.Graph(figure=fig_bubble, id="fig_bubble"),
-#     ]
-# )
+app.layout = html.Div(
+    [
+        html.H1("COVID-19 Data Visualization"),
+        dcc.Dropdown(
+            id="metric-dropdown",
+            options=[
+                {"label": "Total Cases", "value": "Total_Cases"},
+                {"label": "Total Deaths", "value": "Total_Deaths"},
+                {"label": "Total Recoveries", "value": "Recovered"},
+            ],
+            value="Total_Cases",
+        ),
+        dcc.Graph(id="covid-graph"),
+        html.Hr(),  # Adding a horizontal line for separation
+        html.H2("Top 10 Countries by Various Metrics"),
+        dcc.Graph(figure=fig_total_cases, id="fig_total_cases"),
+        dcc.Graph(figure=fig_total_deaths_pie, id="fig_total_deaths_pie"),
+        dcc.Graph(figure=fig_recovery_rate_line, id="fig_recovery_rate_line"),
+        dcc.Graph(figure=fig_stacked_bar, id="fig_stacked_bar"),
+        dcc.Graph(figure=fig_critical_cases, id="fig_critical_cases"),
+        dcc.Graph(figure=fig_bubble, id="fig_bubble"),
+    ]
+)
 
 
-# @app.callback(Output("covid-graph", "figure"), [Input("metric-dropdown", "value")])
-# def update_graph(selected_metric):
-#     choro = px.choropleth(
-#         df,
-#         locations="Country",
-#         locationmode="country names",
-#         color=selected_metric,
-#         hover_name="Country",
-#         title=f"COVID-19 {selected_metric} by Country",
-#         labels={selected_metric: "Number recorded"},
-#     )
-#     return choro
+@app.callback(Output("covid-graph", "figure"), [Input("metric-dropdown", "value")])
+def update_graph(selected_metric):
+    choro = px.choropleth(
+        df,
+        locations="Country",
+        locationmode="country names",
+        color=selected_metric,
+        hover_name="Country",
+        title=f"COVID-19 {selected_metric} by Country",
+        labels={selected_metric: "Number recorded"},
+    )
+    return choro
 
 
-# if __name__ == "__main__":
-#     app.run(port=4050, debug=True)
+if __name__ == "__main__":
+    app.run(port=4050, debug=True)