diff --git a/analysis/analysis.ipynb b/analysis/analysis.ipynb index c4bc8f8..24a1b75 100644 --- a/analysis/analysis.ipynb +++ b/analysis/analysis.ipynb @@ -630,6 +630,90 @@ " print(stage, stage_mean_total_cost, stage_max_total_cost, stage_total_cost_std_dev)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "median_price_per_sq_ft_per_lease_year = pd.DataFrame.from_dict(\n", + " {\n", + " \"ANG MO KIO\": 9.79,\n", + " \"BEDOK\": 9.32,\n", + " \"BISHAN\": 11.27,\n", + " \"BUKIT BATOK\": 7.33,\n", + " \"BUKIT MERAH\": 10.8,\n", + " \"BUKIT PANJANG\": 7.08,\n", + " \"BUKIT TIMAH\": 12.86,\n", + " \"CENTRAL AREA\": 13.2, # Not a planning area.\n", + " \"CHOA CHU KANG\": 6.44,\n", + " \"CLEMENTI\": 9.95,\n", + " \"GEYLANG\": 10.53,\n", + " \"HOUGANG\": 8,\n", + " \"JURONG EAST\": 8.08,\n", + " \"JURONG WEST\": 6.8,\n", + " \"KALLANG\": 10.69,\n", + " \"MARINE PARADE\": 12.5,\n", + " \"PASIR RIS\": 7.63,\n", + " \"PUNGGOL\": 7.11,\n", + " \"QUEENSTOWN\": 11.22,\n", + " \"SEMBAWANG\": 6.54,\n", + " \"SENGKANG\": 6.97,\n", + " \"SERANGOON\": 9.74,\n", + " \"TAMPINES\": 8.34,\n", + " \"TOA PAYOH\": 10.77,\n", + " \"WOODLANDS\": 6.76,\n", + " \"YISHUN\": 7.69,\n", + " },\n", + " orient=\"index\",\n", + ").reset_index()\n", + "median_price_per_sq_ft_per_lease_year.columns = [\n", + " \"planning_area\",\n", + " \"median_price_per_sq_ft_per_lease_year\",\n", + "]\n", + "\n", + "planning_area_agg_stats = (\n", + " station_agg_stats_by_stage[\"teck_lee\"]\n", + " .copy()\n", + " .groupby(by=[\"planning_area\", \"region\"])\n", + " .mean(numeric_only=True)\n", + " .reset_index()\n", + " .sort_values(by=[\"path_distance_mean\"])\n", + " .merge(median_price_per_sq_ft_per_lease_year, on=\"planning_area\", how=\"inner\")\n", + ")\n", + "\n", + "hover_data={\n", + " \"haversine_distance_median\": True,\n", + " \"path_distance_median\": True,\n", + " \"region\": True,\n", + " \"planning_area\": True,\n", + "}\n", + "\n", + "fig = px.scatter_3d(\n", + " planning_area_agg_stats,\n", + " x=\"haversine_distance_median\",\n", + " y=\"path_distance_median\",\n", + " z=\"median_price_per_sq_ft_per_lease_year\",\n", + " color=\"region\",\n", + " range_x=[\n", + " planning_area_agg_stats[\"haversine_distance_median\"].max(),\n", + " planning_area_agg_stats[\"haversine_distance_median\"].min(),\n", + " ],\n", + " text=\"planning_area\",\n", + " hover_name=\"planning_area\",\n", + " hover_data=hover_data,\n", + " height=850,\n", + ")\n", + "fig.update_layout(\n", + " scene=dict(\n", + " xaxis_title=\"Median Haversine (km)\",\n", + " yaxis_title=\"Median Path (km)\",\n", + " zaxis_title=\"$/sqft/yr\",\n", + " )\n", + ")\n", + "fig.show()" + ] + }, { "cell_type": "code", "execution_count": null, @@ -654,7 +738,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.12.5" } }, "nbformat": 4, diff --git a/poetry.lock b/poetry.lock index 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