{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":61461,"databundleVersionId":6756046,"sourceType":"competition"}],"dockerImageVersionId":30558,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# <font color = \"blue\">Improve Thermal & Noise Comfort with EnviroSens! \n ","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nmembers = pd.DataFrame({\"Member's Name\" : [\"Tiong Jun Mian Lionel\",\"You Wen Yi, Gio\",\"Jonathan Wong Wei Han\",\"Jheng You-Shuo\",\"Petersson Hanna\"],\n               \"Matriculation Number\" : [\"A0252950E\",\"A0252970B\",\"A0253002B\",\"A0275381Y\",\"A0278429M\"]},\n            index = [\"1\",\"2\",\"3\",\"4\",\"5\"])\nmembers","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-11-24T01:11:32.143176Z","iopub.execute_input":"2023-11-24T01:11:32.143585Z","iopub.status.idle":"2023-11-24T01:11:32.627185Z","shell.execute_reply.started":"2023-11-24T01:11:32.143552Z","shell.execute_reply":"2023-11-24T01:11:32.625878Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Table of Content**\n* [1. Introduction](#1.0)\n    * [1.1 Company Background](#1.1)\n    * [1.2 Thermal and Noise Comfort](#1.2)\n    * [1.3 Purpose of Study](#1.3)\n    * [1.4 Literature Review](#1.4)\n* [2. AI Canvas](#2.0)\n    * [2.1 Prediction](#2.1)\n    * [2.2 Judgement](#2.2)\n    * [2.3 Action & Outcome](#2.3)\n    * [2.4 Input ](#2.4)\n    * [2.5 Training](#2.5) \n    * [2.6 Feedback](#2.6)\n* [3. Notebook Configuration](#3.0)\n    * [3.1 Setting Up Notebook and Importing Dataset](#3.1)\n    * [3.2 Data Preparation](#3.2)\n* [4. Data Analysis](#4.0)\n    * [4.1 Analysis on Temperature Levels](#4.1)\n    * [4.2 Analysis on Humidity Levels](#4.2)\n    * [4.3 Analysis on Noise](#4.3)\n* [5. Prediction](#5.0)\n    * [5.1 Data Processing](#5.1)\n    * [5.2 Prediction Model](#5.2)\n    * [5.3 Impact and Justification](#5.3) \n* [6. Mitigation](#6.0)\n    * [6.1 Mitigation Measures](#6.1)\n* [7. Conclusion](#7.0)\n    * [7.1 Future Works](#7.1)\n    * [7.2 Final Takeaway of Study](#7.2)\n* [8.References](#8) \n\n    ","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1.0\"></a>\n# 1.    Introduction","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1.2\"></a>\n## 1.1 Company Background","metadata":{}},{"cell_type":"markdown","source":"# ![Screenshot 2023-11-23 at 1.33.05 PM.png](attachment:e9c39e71-269e-4700-af7f-9191c3e45376.png)","metadata":{},"attachments":{"e9c39e71-269e-4700-af7f-9191c3e45376.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"EnviroSens, established in Singapore in 2018, focuses on advanced data analytics for monitoring heat and noise in urban residential areas. Our company's goal is to improve the quality of life in cities by using sophisticated sensor networks and data analysis. We collect extensive environmental data, aiding local authorities and urban planners in making well-informed decisions about urban renewal and development.\n\nOur expertise has been crucial in pinpointing areas in need of noise and heat management enhancements, thereby elevating the living standards in densely populated urban districts. Gaining recognition for its role in promoting sustainable urban development, EnviroSens is dedicated to extending its innovative solutions to other cities in Southeast Asia, striving to become a frontrunner in the field of urban environmental management and sustainable living.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1.2\"></a>\n## 1.2 Thermal and Noise Comfort","metadata":{}},{"cell_type":"markdown","source":"Heat and noise are two critical environmental factors that significantly impact the comfort and well-being of residents in urban areas. Excessive noise can lead to heightened stress levels, sleep disturbances, and reduced ability to concentrate, which are particularly concerning in the context of increased remote working due to the Covid-19 pandemic. \n\nSimilarly, high temperatures and lack of proper thermal regulation in living spaces can result in discomfort, decreased productivity, and adverse health effects. These factors are especially pertinent in Singapore, where dense urban living can amplify these issues. \nEnviroSens, by providing detailed data on these environmental stressors, plays a crucial role in identifying and addressing areas where residents are most affected. This information is vital in the current era where many have shifted to working from home, making the home environment synonymous with the workspace. Ensuring thermal and noise comfort has become not just a matter of personal comfort but also a necessity for maintaining productivity and well-being in a professional setting.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1.3\"></a>\n## 1.3 Purpose of Study","metadata":{}},{"cell_type":"markdown","source":"Our client, the Housing and Development Board (HDB) of Singapore, a statutory board under the Ministry of National Development, focuses on developing and managing public housing estates nationwide. In collaboration with HDB, EnviroSens is undertaking a specialised thermal and noise study in these residential areas. This study forms a crucial part of HDB's commitment to improving urban living, emphasising sustainable and comfortable living spaces in public housing.\n\nThe objectives of EnviroSens include:\n\n1. Analyse factors such as temperature and relative humidity levels across Singapore.\n\n2. Identify neighbourhoods most affected by excessive heat and humidity. \n\n3. Using the information gathered, predict thermal preferences and noise issues in potential development areas for mitigation and enhancement measures.\n\nThis study aims to provide HDB with actionable insights for targeted renovations, ultimately improving resident well-being and aligning with Singapore's goals for sustainable urban development. EnviroSens's role is to leverage its expertise in environmental analytics to aid HDB in making data-driven decisions for urban improvement.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1.4\"></a>\n## 1.4 Literature Review","metadata":{}},{"cell_type":"markdown","source":"Chronic exposure to urban noise has significant adverse effects on health and wellness. It can lead to auditory issues, cardiovascular diseases, cerebrovascular disease, metabolic disturbances, exacerbation of psychological disorders, and premature mortality. Even low levels of chronic noise can cause annoyance, sleep disruption, and stress, as noted by the American Public Health Association[1]. Approximately 25% of the European Union's population experiences a reduction in quality of life due to noise-induced annoyance, and 5-15% suffer from sleep disorders[3]. \n\nUrban heat islands can directly and indirectly affect health. Studies have shown increased mortality and morbidity due to heightened urban temperatures, especially during extreme heat events. In one study in the UK, during the 2003 heatwave, over 50% of heat-related mortality was attributed to the urban heat island effect[4]. An Urban Heat Island (UHI) is a metropolitan area that is significantly warmer than its surrounding rural area [6]. This phenomenon is caused by the ability of urban structures, like buildings and roads, to absorb and re-emit the sun's heat more efficiently than natural landscapes such as forests and water bodies [7]. The implications are particularly concerning in the context of climate change, increasing urbanisation, and an ageing population [2]. Heat not only impacts human behaviour but also affects the transmission of diseases, health service delivery, air quality, and critical social infrastructure [5].\n\nThe literature review emphasises the importance of EnviroSens's thermal and noise analysis in HDB's residential areas. By providing detailed data on environmental stressors, the company plays a crucial role in identifying and addressing areas where residents are most affected, contributing significantly to the enhancement of urban living conditions and overall public health.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.0\"></a>\n# 2.    AI Canvas","metadata":{}},{"cell_type":"markdown","source":"![Screenshot 2023-11-23 at 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"}}},{"cell_type":"markdown","source":"<a id=\"2.1\"></a>\n## 2.1 Prediction\n\n\nEssentially, this model can assist HDB in their decision making and planning by providing relatively more accurate predictions on the thermal preference of the community, the sources of noise in the neighbourhood, how distracting these noises can be, and if the people have to resort to wearing headphones. With these predictions on hand, HDB can ascertain the design and materials used during the construction of new housing districts, and also upgrade current buildings in neighbourhoods which are identified to have high levels of temperature and noise distractions. \n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.2\"></a>\n## 2.2 Judgement \n\n\nWhile considering whether to implement mitigation measures to HDB flats to alleviate thermal and noise discomfort, they would also have to consider other factors that were not taken into consideration. These factors include the financial cost of implementing these measures, its maintenance, the building aesthetics and home owner’s preferences. The cost of implementation could be much higher than conventional methods which might deter HDB from meeting the needs of the community as the government would not want to resort to methods such as increase in taxes to fund these measures. Furthermore, building aesthetics might also be compromised to suit and accommodate certain features and designs. Additionally, these upgrades would, in the short run, disrupt the livelihood of the residents, due to increase in noise, air pollution and dust from construction. Thus, with the predictions, HDB would have to make a judgement to weigh the long and short term benefits and costs specific to each project and neighbourhood. \n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.3\"></a>\n## 2.3 Action & Outcome\n\n\nAfter coming up with the predictions, HDB would need to make a decision and plan on how they would want to develop neighbourhoods depending on the predictions they have, and at the same time, weigh the costs and benefits arising from the development. To ensure the success of HDB’s projects, they should always keep in mind the preferences of the community and the sources of the noise issues they are faced with. For instance, if building in a location where the prevalent source of noise is from traffic, how can HDB ensure every household would be able to receive adequate amount of noise-proofing to improve the quality of life for the community. \n\nThe eventual outcome of the action will be to improve urban living conditions especially in this urbanised metropolis. The satisfaction from the community can bring about several positive benefits to society such as fostering a happier and more harmonious neighbourhood, where everyone can enjoy the benefits of upgraded and enhanced housing features, instead of having much complaints and disagreements with certain social issues in their district. \n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.4\"></a>\n## 2.4 Input\n\n\nFor the prediction model to be accurate, these data were taken into account Air Temperature, Relative Humidity, Location, Thermal Preference, Location, Noise kind, Noise nearby, Amenities and the Demographics of the neighbourhood.\n\nFirstly, most importantly, the location is needed as an input due to the need to identify and obtain the data from the different neighbourhoods around Singapore. Next, temperature and relative humidity is also required to determine locations with high temperature and humidity levels, where HDB can take action. Also, thermal preference, noise kind and noise nearby can be used to consider the needs of the community and what issues they are facing. Lastly, amenities and the neighbourhood’s demographics gives a sense of what infrastructures are in the neighbourhood and how preferences can differ across various age groups and gender, and also how the mitigation measures can accommodate them. \n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.1\"></a>\n## 2.5 Training\n\n\nWith all the inputs mentioned above, we trained our model in accordance with their statistics. Their trends and patterns were observed and analysed, and once trained, it will be able to derive the predictions for the variables of thermal preference, noise kind, noise type and the use of earpieces, and from that give HDB information on how they should proceed. \n\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"2.6\"></a>\n## 2.6 Feedback\n\n\nBased on our study, in theory, the implementation of our model would allow for building enhancement to improve the quality of life for the people. As more data is input into the predictive algorithm, we would observe high levels of accuracy in determining the characteristics of different locations, allowing for HDB to plan their development accordingly to accommodate the preferences of the community. \n\nHowever, we also rationalised that the data collected can be very subjective. Depending on the mood or the activity they are engaging in, people may discern different levels of comfort when being surveyed and it can be difficult to analyse and comprehend the data collected. For example, in the same location and building, residents may perceive heat and noise discomfort differently. This would not provide an accurate representation of the characteristics of the place due to conflicting responses. Our prediction model would attempt to overcome this issue by training it to indicate the proportion of the predictions. For example,  instead of just simply indicating the noise kind to be “Talking”, it could predict the proportions as well, such as “60% Talking”, “30% Traffic”, “10% Construction”. This allows HDB to prioritise what kind of upgrades or measures can be used to effectively mitigate the issue. \n\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"3.0\"></a>\n# 3.    Notebook Configuration\n\n<a id=\"3.1\"></a>\n## 3.1 Setting Up Notebook and Importing Datasets\n\n## Importing of Libraries and Machine Learning Algorithm","metadata":{}},{"cell_type":"code","source":"import pandas as pd \nimport numpy as np\nfrom xgboost import XGBClassifier\nfrom sklearn.metrics import accuracy_score, f1_score\n\nfrom math import cos, asin, sqrt, pi\npd.set_option('display.max_columns', None)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:11:32.629247Z","iopub.execute_input":"2023-11-24T01:11:32.629743Z","iopub.status.idle":"2023-11-24T01:11:34.459121Z","shell.execute_reply.started":"2023-11-24T01:11:32.629710Z","shell.execute_reply":"2023-11-24T01:11:34.457945Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"Read_data\"></a>\n## Read data\n\nRead all csv file into dataframes.","metadata":{}},{"cell_type":"code","source":"df_train = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/5_xesh_split_ipm_train.csv', index_col=[0], keep_default_na=False, na_values=[''], parse_dates=['time', 'ws_timestamp_location', 'ws_timestamp_start'], date_format='%Y-%m-%d %H:%M:%S.%f%z')\ndf_solution = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/5_xesh_split_ipm_test_public.csv', index_col=[0], keep_default_na=False, na_values=[''], parse_dates=['time', 'ws_timestamp_location', 'ws_timestamp_start'], date_format='%Y-%m-%d %H:%M:%S.%f%z')\ndf_rain = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_rainfall_processed.csv', parse_dates=True, index_col=[0])\ndf_temperature = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_air-temperature_processed.csv', parse_dates=True, index_col=[0])\ndf_humidity = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_relative-humidity_processed.csv', parse_dates=True, index_col=[0])\ndf_wind_speed = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_wind-speed_processed.csv', parse_dates=True, index_col=[0])\ndf_wind_direction = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_wind-direction_processed.csv', parse_dates=True, index_col=[0])\ndf_stations = pd.read_csv('/kaggle/input/IPM3211-City-Heat-Noise/3_weather_stations.csv')","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:11:34.461022Z","iopub.execute_input":"2023-11-24T01:11:34.461415Z","iopub.status.idle":"2023-11-24T01:13:06.813621Z","shell.execute_reply.started":"2023-11-24T01:11:34.461382Z","shell.execute_reply":"2023-11-24T01:13:06.812599Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Combine Data\n\nCombine training data (`df_train`) and data needed to predict the solution (`df_solution`) for more convenient data processing.","metadata":{}},{"cell_type":"code","source":"df_train['source']='train'\ndf_solution['source']='solution'\ndf_all = pd.concat([df_train, df_solution])","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:06.816102Z","iopub.execute_input":"2023-11-24T01:13:06.816423Z","iopub.status.idle":"2023-11-24T01:13:07.116670Z","shell.execute_reply.started":"2023-11-24T01:13:06.816396Z","shell.execute_reply":"2023-11-24T01:13:07.115583Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Inspect dataset with raw values\ndf_all[(df_all.id_participant=='xesh001') & ((df_all.ws_survey_count.notna()) | (df_all.ts_heart_rate))][['id_participant', 'ws_survey_count', 'ts_heart_rate']].head(10)","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:13:07.117998Z","iopub.execute_input":"2023-11-24T01:13:07.118400Z","iopub.status.idle":"2023-11-24T01:13:07.329302Z","shell.execute_reply.started":"2023-11-24T01:13:07.118363Z","shell.execute_reply":"2023-11-24T01:13:07.328119Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Function to resample health data at the timestamps of watch survey responses.\ndef resample_health(df, col_name, col_name_new):\n    df[col_name_new] = df[col_name].interpolate(method='linear').bfill().ffill().mask(df['ws_survey_count'].isna())\n    return df","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:13:07.331090Z","iopub.execute_input":"2023-11-24T01:13:07.331430Z","iopub.status.idle":"2023-11-24T01:13:07.338708Z","shell.execute_reply.started":"2023-11-24T01:13:07.331401Z","shell.execute_reply":"2023-11-24T01:13:07.337286Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Resample health data\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_heart_rate', col_name_new='ws_heart_rate').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_audio_exposure_environment', col_name_new='ws_audio_exposure_environment').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_oxygen_saturation', col_name_new='ws_oxygen_saturation').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_resting_heart_rate', col_name_new='ws_resting_heart_rate').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_stand_time', col_name_new='ws_stand_time').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_step_count', col_name_new='ws_step_count').reset_index(level=[0], drop=True)\ndf_all = df_all.groupby('id_participant').apply(resample_health, col_name='ts_walking_distance', col_name_new='ws_walking_distance').reset_index(level=[0], drop=True)","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:13:07.339991Z","iopub.execute_input":"2023-11-24T01:13:07.340303Z","iopub.status.idle":"2023-11-24T01:13:19.132787Z","shell.execute_reply.started":"2023-11-24T01:13:07.340277Z","shell.execute_reply":"2023-11-24T01:13:19.131675Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Inspect dataset with resampled health values\ndf_all[df_all.id_participant.notna() & (df_all.ws_survey_count.notna() | df_all.ts_heart_rate.notna())][['id_participant', 'ws_survey_count', 'ws_heart_rate', 'ts_heart_rate']].head(10)","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.134172Z","iopub.execute_input":"2023-11-24T01:13:19.134755Z","iopub.status.idle":"2023-11-24T01:13:19.357105Z","shell.execute_reply.started":"2023-11-24T01:13:19.134724Z","shell.execute_reply":"2023-11-24T01:13:19.355874Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"3.2\"></a>\n## 3.2 Data Preparation \n\n### Hourly Average of Weather Data\n\nChanging the frequency of the data from minutes to hourly to provide a broader view of the weather data. To clean the data, weather stations with more than 50% missing values will be removed. Using Linear Interpolation, data for weather stations with less than 50% missing values will be interpolated. Subsequently, the data will be further processed, filtering out the top 5 locations with the highest average air temperature. \n","metadata":{}},{"cell_type":"code","source":"# Function to obtain hourly average of weather data\ndef hourly_average_weather_data(df_weather_data):\n    # Change timestamp to hourly frequency\n    df = df_weather_data.groupby(pd.Grouper(freq='H')).mean()\n    return df","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.358743Z","iopub.execute_input":"2023-11-24T01:13:19.359360Z","iopub.status.idle":"2023-11-24T01:13:19.364873Z","shell.execute_reply.started":"2023-11-24T01:13:19.359329Z","shell.execute_reply":"2023-11-24T01:13:19.363728Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Apply above function to the dataset for all weather data\ndf_rain = hourly_average_weather_data(df_rain)\ndf_temperature = hourly_average_weather_data(df_temperature)\ndf_humidity = hourly_average_weather_data(df_humidity)\ndf_wind_speed = hourly_average_weather_data(df_wind_speed)\ndf_wind_direction = hourly_average_weather_data(df_wind_direction)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.369409Z","iopub.execute_input":"2023-11-24T01:13:19.369761Z","iopub.status.idle":"2023-11-24T01:13:19.545126Z","shell.execute_reply.started":"2023-11-24T01:13:19.369732Z","shell.execute_reply":"2023-11-24T01:13:19.544187Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Function to remove weather stations that have more than 50% missing data\ndef remove_stations(df_weather_data):\n    rows = len(df_weather_data.axes[0])\n    threshold = rows * 50 / 100\n    naPerColumn = df_weather_data.isna().sum()\n    for i in naPerColumn.index:\n        if (naPerColumn[i] > threshold):\n            df_weather_data.drop(i, axis=1, inplace=True)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.546620Z","iopub.execute_input":"2023-11-24T01:13:19.547563Z","iopub.status.idle":"2023-11-24T01:13:19.554825Z","shell.execute_reply.started":"2023-11-24T01:13:19.547530Z","shell.execute_reply":"2023-11-24T01:13:19.553396Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Apply above function to the dataset for all weather data\nremove_stations(df_rain)\nremove_stations(df_temperature)\nremove_stations(df_humidity)\nremove_stations(df_wind_speed)\nremove_stations(df_wind_direction)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.556517Z","iopub.execute_input":"2023-11-24T01:13:19.556947Z","iopub.status.idle":"2023-11-24T01:13:19.586446Z","shell.execute_reply.started":"2023-11-24T01:13:19.556912Z","shell.execute_reply":"2023-11-24T01:13:19.585338Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Function to linear interpolate missing weather data\ndef fill_missing_weather_data(df_weather_data):\n    columns = df_weather_data.axes[1]\n    for i in columns:\n        df_weather_data[i] = df_weather_data[i].interpolate(method='linear').bfill().ffill()\n        \n    return df_weather_data","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.588078Z","iopub.execute_input":"2023-11-24T01:13:19.588588Z","iopub.status.idle":"2023-11-24T01:13:19.595098Z","shell.execute_reply.started":"2023-11-24T01:13:19.588552Z","shell.execute_reply":"2023-11-24T01:13:19.593868Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Apply above function to the dataset for all weather data\ndf_rain = fill_missing_weather_data(df_rain)\ndf_temperature = fill_missing_weather_data(df_temperature)\ndf_humidity = fill_missing_weather_data(df_humidity)\ndf_wind_speed = fill_missing_weather_data(df_wind_speed)\ndf_wind_direction = fill_missing_weather_data(df_wind_direction)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.596431Z","iopub.execute_input":"2023-11-24T01:13:19.596745Z","iopub.status.idle":"2023-11-24T01:13:19.776607Z","shell.execute_reply.started":"2023-11-24T01:13:19.596717Z","shell.execute_reply":"2023-11-24T01:13:19.775383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Function to get weather data for a given timestamp and location from the nearest weather station\ndef get_weather_data(df_weather_data, lat, lon, timestamp):    \n    # Get timestamp with no seconds or microseconds\n    timestamp = timestamp.replace(minute=0, second=0, microsecond=0)\n    \n    # Get weather data for timestamp above\n    weather_data_row = df_weather_data[df_weather_data.index == timestamp]\n\n    # If no weather data is available for timestamp above, get weather data for next minute\n    if (weather_data_row.empty):\n        timestamp = timestamp + pd.Timedelta(hours=1)\n        weather_data_row = df_weather_data[df_weather_data.index == timestamp]\n        # If there is still no weather data available, return NaN\n        if (weather_data_row.empty):\n            return np.NaN\n\n    # Get weather station ids from weather stations with with data\n    station_ids_with_data = weather_data_row.columns[weather_data_row.count() > 0].tolist()\n\n    # Get weather stations with data\n    df_stations2 = df_stations[df_stations.id.isin(station_ids_with_data)]\n\n    # Compute distance to each weather station\n    df_stations2['distance'] = df_stations2.apply(lambda x: distance(x['latitude'], x['longitude'], lat, lon), axis=1)\n\n    # Get nearest weather station\n    station_id_nearest = df_stations2[df_stations2.distance==df_stations2.distance.min()].id.values[0]\n\n    # Retrun NaN for cases where the nearest weather station is more than 10km away\n    if df_stations2.distance.min()>10:\n        return np.NaN\n\n    # Return weather data from nearest weather station\n    return weather_data_row[station_id_nearest].values[0]\n\n# Function to compute distnace on spherical earth\ndef distance(lat1, lon1, lat2, lon2):\n    r = 6371 # km\n    p = pi / 180\n\n    a = 0.5 - cos((lat2-lat1)*p)/2 + cos(lat1*p) * cos(lat2*p) * (1-cos((lon2-lon1)*p))/2\n    return 2 * r * asin(sqrt(a))","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.778153Z","iopub.execute_input":"2023-11-24T01:13:19.778701Z","iopub.status.idle":"2023-11-24T01:13:19.795494Z","shell.execute_reply.started":"2023-11-24T01:13:19.778658Z","shell.execute_reply":"2023-11-24T01:13:19.794014Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Apply above function to the dataset for all weather data\ndf_all['ws_rainfall'] = df_all[df_all.ws_survey_count.notna()].apply(lambda row: get_weather_data(df_rain, row['ws_latitude'], row['ws_longitude'], row.name), axis=1)\ndf_all['ws_air_temperature'] = df_all[df_all.ws_survey_count.notna()].apply(lambda row: get_weather_data(df_temperature, row['ws_latitude'], row['ws_longitude'], row.name), axis=1)\ndf_all['ws_relative_humidity'] = df_all[df_all.ws_survey_count.notna()].apply(lambda row: get_weather_data(df_humidity, row['ws_latitude'], row['ws_longitude'], row.name), axis=1)\ndf_all['ws_wind_speed'] = df_all[df_all.ws_survey_count.notna()].apply(lambda row: get_weather_data(df_wind_speed, row['ws_latitude'], row['ws_longitude'], row.name), axis=1)\ndf_all['ws_wind_direction'] = df_all[df_all.ws_survey_count.notna()].apply(lambda row: get_weather_data(df_wind_direction, row['ws_latitude'], row['ws_longitude'], row.name), axis=1)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:13:19.797063Z","iopub.execute_input":"2023-11-24T01:13:19.797568Z","iopub.status.idle":"2023-11-24T01:14:42.762414Z","shell.execute_reply.started":"2023-11-24T01:13:19.797525Z","shell.execute_reply":"2023-11-24T01:14:42.761130Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Inspect dataframe that now includes weather data\n# Inspect dataset with resampled health values\ndf_all[df_all.id_participant.notna() & df_all.ws_survey_count.notna()][['id_participant', 'ws_survey_count', 'ws_air_temperature', 'ws_heart_rate']].head()","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.764111Z","iopub.execute_input":"2023-11-24T01:14:42.765328Z","iopub.status.idle":"2023-11-24T01:14:42.853764Z","shell.execute_reply.started":"2023-11-24T01:14:42.765281Z","shell.execute_reply":"2023-11-24T01:14:42.852407Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"4.0\"></a>\n# 4.  Data Analysis \n\n<a id=\"4.1\"></a>\n## 4.1 Analysis on Temperature Data\n\nThe top 5 locations with the highest monthly average temperature will be dervied and analysed using a line graph\n","metadata":{"_kg_hide-input":true}},{"cell_type":"code","source":"# Function to obtain monthly average of weather data\ndef monthly_average_of_weather_data(df_weather_data):\n    df = df_weather_data.groupby(pd.Grouper(freq='MS')).mean()\n    df.index = df.index.strftime('%B, %Y')\n    return df","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.855315Z","iopub.execute_input":"2023-11-24T01:14:42.855675Z","iopub.status.idle":"2023-11-24T01:14:42.862065Z","shell.execute_reply.started":"2023-11-24T01:14:42.855644Z","shell.execute_reply":"2023-11-24T01:14:42.861081Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Apply above function to the dataset for all weather data\ndf_rain = monthly_average_of_weather_data(df_rain)\ndf_temperature = monthly_average_of_weather_data(df_temperature)\ndf_humidity = monthly_average_of_weather_data(df_humidity)\ndf_wind_speed = monthly_average_of_weather_data(df_wind_speed)\ndf_wind_direction = monthly_average_of_weather_data(df_wind_direction)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.863173Z","iopub.execute_input":"2023-11-24T01:14:42.863513Z","iopub.status.idle":"2023-11-24T01:14:42.895199Z","shell.execute_reply.started":"2023-11-24T01:14:42.863471Z","shell.execute_reply":"2023-11-24T01:14:42.894077Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt","metadata":{"_kg_hide-input":true,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.896844Z","iopub.execute_input":"2023-11-24T01:14:42.897497Z","iopub.status.idle":"2023-11-24T01:14:42.902379Z","shell.execute_reply.started":"2023-11-24T01:14:42.897465Z","shell.execute_reply":"2023-11-24T01:14:42.900891Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Finding top 5 weather stations with highest temperature\ndf_temp = df_temperature.copy()\nstations_temp = []\nwhile len(stations_temp) < 5:\n    for j in df_temp.columns:\n        if df_temp[j].mean() == df_temp.mean().max():\n            stations_temp.append(j)\n            df_temp.drop(j, axis=1, inplace=True)\n            break\n            \n# Obtain top 5 highest average temperature weather stations\nhighest_temperature = df_temperature[stations_temp]","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.904002Z","iopub.execute_input":"2023-11-24T01:14:42.904404Z","iopub.status.idle":"2023-11-24T01:14:42.950456Z","shell.execute_reply.started":"2023-11-24T01:14:42.904357Z","shell.execute_reply":"2023-11-24T01:14:42.949206Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Plot line graph \ntemperature = highest_temperature.plot.line(figsize=(10,10), grid=True, ylabel='Air Temperature/˚C', xlabel='Month', title='Air Temperature of Weather Stations from October, 2022 to July,2023')\nplot = plt.legend(['Marina Gardens Drive', 'Woodlands Road', 'Banyan Road', 'East Coast Parkway', 'West Coast Highway'])","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:42.952366Z","iopub.execute_input":"2023-11-24T01:14:42.952742Z","iopub.status.idle":"2023-11-24T01:14:43.475451Z","shell.execute_reply.started":"2023-11-24T01:14:42.952712Z","shell.execute_reply":"2023-11-24T01:14:43.474278Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Temperature Data Analysis\n\nWith reference to the line graph above, we are able to identify that among the five locations with the highest temperatures, there is a general trend that from October to March, the average temperature is relatively low and stays consistent across all regions, staying around 27°C to 29°C. Then, from March to May, the temperatures of Banyan Road, East Coast Parkway and West Coast Highway will increase continuously till around 29.5° C. Afterwards, the temperatures in the three locations will decrease slightly, reaching around 29°C. For the other two locations, Marina Gardens Drive and Woodlands Road, temperatures there will increase continuously and drastically from March to June, as the temperature of Marina Gardens Drive will reach around 35.5°C by June and the temperature of Woodlands Road will reach around 34.5°C. From June to July, the temperatures of the two locations will stay the same.\n\nThe reason for temperatures to be relatively lower from October to March could be due to the Northeast Monsoon Season which occurs from December to early March. And the increase in temperatures that stops around June could be due to the start of the Southwest Monsoon Season in June. Among the five locations, two of the locations: West Coast Highway and East Coast Parkway, have HDB blocks. HDB should analyse these two locations to find out the causes of high temperatures there. \n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"4.2\"></a>\n## 4.2 Anaylsis on Relative Humidity Data\n\n\nSimilarly, the top 5 locations with the highest monthly average relative humidity will be dervied and analysed using a line graph","metadata":{}},{"cell_type":"code","source":"# Finding top 5 weather stations with highest average relative humidity\ndf_hum = df_humidity.copy()\nstations_hum = []\nwhile len(stations_hum) < 5:\n    for j in df_hum.columns:\n        if df_hum[j].mean() == df_hum.mean().max():\n            stations_hum.append(j)\n            df_hum.drop(j, axis=1, inplace=True) \n            break\n            \n# Obtain top 5 highest average relative humidity weather stations\nhighest_humidity = df_humidity[stations_hum]","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:43.476872Z","iopub.execute_input":"2023-11-24T01:14:43.477194Z","iopub.status.idle":"2023-11-24T01:14:43.515854Z","shell.execute_reply.started":"2023-11-24T01:14:43.477166Z","shell.execute_reply":"2023-11-24T01:14:43.514492Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Plot line graph \nhumidity = highest_humidity.plot.line(figsize=(10,10), grid=True, ylabel='Relative Humidity/%', xlabel='Month', title='Relative Humidity of Weather Stations from October, 2022 to July,2023')\nplot = plt.legend(['West Coast Highway', 'Pulau Ubin', 'Old Chua Chu Kang Road', 'Clementi Road', 'Nanyang Avenue'])","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:43.517671Z","iopub.execute_input":"2023-11-24T01:14:43.518135Z","iopub.status.idle":"2023-11-24T01:14:44.014260Z","shell.execute_reply.started":"2023-11-24T01:14:43.518087Z","shell.execute_reply":"2023-11-24T01:14:44.012993Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Analysis on Relative Humidity Data \n\nWith reference to the line graph above, we are able to identify that among the five locations with the highest relative humidity, there is a general trend that from October to January, the average relative humidity is relatively high, then it will gradually decrease from January to May, and increase again from May to June. This could be due to the Monsoon Seasons, as the Northeast Monsoon Season occurs from December to early March and the Southwest Monsoon Season starts in June. Among the five locations, three locations have HDB blocks: West Coast Highway, Old Choa Chu Kang Road and Clementi Road. And among these three locations, West Coast Highway is one of the hottest locations based on the temperature data line graph on 4.1. HDB should look into housing around West Coast Highway as it experiences high temperatures and high relative humidity, which means it possibly has the lowest thermal comfort level.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"4.3\"></a>\n## 4.3 Analysis on Noise Kind \n\nVisual represenation of the distribution of the sources of noise across the neighourhoods in Singapore ","metadata":{}},{"cell_type":"code","source":"# Plotting a pie chart for the percentage of noise kind present\nnoise_kind = df_all.q_noise_kind.value_counts()\nnoise_kind.drop('Not applicable', axis=0, inplace=True)\npie = noise_kind.plot.pie(ylabel='', title='Percentage of Each Type of Noise', autopct=\"%.1f%%\")","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.015839Z","iopub.execute_input":"2023-11-24T01:14:44.016252Z","iopub.status.idle":"2023-11-24T01:14:44.252370Z","shell.execute_reply.started":"2023-11-24T01:14:44.016213Z","shell.execute_reply":"2023-11-24T01:14:44.250812Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Analysis on Noise Data \n\nWith reference to the pie chart above, the most common noise kind is talking(45.8%), followed by traffic(16.9%), appliances(16.5%), others(10.4%), construction(5.3%) and weather(5.0%). Among the six noise kinds, HDB should look into these three to tackle noise pollution: Construction, Traffic and Talking. This is because the other noises are out of HDB’s control. The noise from appliances are most likely from household appliances such as microwaves and vacuum cleaners and weather noises are possibly from the rain and thunder. Noises from talking could be from the neighbours and people below the HDB blocks. Noises from traffic are most likely from roads and highways around the area\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"5.0\"></a>\n# 5.    Prediction\n\n<a id=\"5.1\"></a>\n## 5.1 Data Cleaning & Processing   \n\nTo prepare the data for testing and training of the algorithm, there is a need to remove some columns as well as split data\n\n","metadata":{}},{"cell_type":"markdown","source":"## Removal of columns\n\nFirstly, to come up with the prediction model, a few columns were removed as they do not have any correlation with our study. This inlcudes columns such as `ts_walking_distance`, `ts_resting_heart_rate` and `ts_stand_time`. ","metadata":{}},{"cell_type":"code","source":"# Remove all rows that are not a watch survey response\ndf_all = df_all[df_all.ws_survey_count.notna()]\n\n# Remove some timestamp columns\ndf_all = df_all.drop(columns=['ws_timestamp_location', 'ws_timestamp_start'])\n\n# Remove columns of the original health data those are no longer needed since we are going to use the interpolated values\ndf_all = df_all.drop(columns=['ts_heart_rate',\n                              'ts_audio_exposure_environment',\n                              'ts_oxygen_saturation',\n                              'ts_resting_heart_rate',\n                              'ts_stand_time', \n                              'ts_step_count',\n                              'ts_walking_distance'])\n\n# Inspect dataframe\ndf_all.head()","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.254842Z","iopub.execute_input":"2023-11-24T01:14:44.255863Z","iopub.status.idle":"2023-11-24T01:14:44.392677Z","shell.execute_reply.started":"2023-11-24T01:14:44.255789Z","shell.execute_reply":"2023-11-24T01:14:44.391843Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Split data\n\nSecondly, we split the data into the training set and solution set according to the original data (before we combined `df_train` and `df_solution` to `df_all` in the section [Read data](#Read_data)).\nFurther, we are going to take some data from the training set `df_train` and create a test set (`df_test`) in order to score the quality of our model. The split into training and testing data is need because the submission to the public leader board is limited to two per day and we want to avoid overfitting of the model.\n\nThe split used is 28 watch survey responses for the training set and the rest of responses for the test set.","metadata":{}},{"cell_type":"code","source":"# Separte training and solution data again\ndf_train = df_all[df_all.source == 'train'].copy()\ndf_solution = df_all[df_all.source == 'solution'].copy()\n\n# ws_survey_count might contain missing values and might reset. \n# To avoid any issue we are creating a similar column ws_survey_count_2 without missing and duplicate values\ndf_train.loc[(df_train.ws_survey_count.notna()), 'ws_survey_count_2'] = df_train.loc[(df_train.ws_survey_count.notna()),].groupby('id_participant').cumcount()\n\n# Add 1 to start at 1 instead of 0\ndf_train['ws_survey_count_2'] = df_train['ws_survey_count_2']+1 \n\n# Split data into training and testing sets\ndf_test = df_train[(df_train.ws_survey_count_2>28)]\ndf_train = df_train[df_train.ws_survey_count_2<=28]\n\n# Drop the helper columns ws_surve_count_2 and source again\ndf_train = df_train.drop(columns=['ws_survey_count_2', 'source'])\ndf_test = df_test.drop(columns=['ws_survey_count_2', 'source'])\ndf_solution = df_solution.drop(columns=['source'])","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.393974Z","iopub.execute_input":"2023-11-24T01:14:44.394490Z","iopub.status.idle":"2023-11-24T01:14:44.442745Z","shell.execute_reply.started":"2023-11-24T01:14:44.394459Z","shell.execute_reply":"2023-11-24T01:14:44.441873Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"Data_preparation\"></a>\n## Data preparation\n\nFor the machine learning model below, all input and output values need to be numeric. At this point, the watch survey the response columns, e.g., `q_noise_nearby`, are of type string. Hence, we need convert the values in these columns into numbers.","metadata":{}},{"cell_type":"code","source":"# Inspect dataframe still containing strings\ndf_train.head()","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.449588Z","iopub.execute_input":"2023-11-24T01:14:44.450192Z","iopub.status.idle":"2023-11-24T01:14:44.520680Z","shell.execute_reply.started":"2023-11-24T01:14:44.450157Z","shell.execute_reply":"2023-11-24T01:14:44.519531Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Find columns with values that are not numeric ","metadata":{}},{"cell_type":"code","source":"# Find columns with values that are not numeric\ncat_vars = list(df_train.select_dtypes(include=['object']).columns)\ncat_vars","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.522145Z","iopub.execute_input":"2023-11-24T01:14:44.522701Z","iopub.status.idle":"2023-11-24T01:14:44.530549Z","shell.execute_reply.started":"2023-11-24T01:14:44.522671Z","shell.execute_reply":"2023-11-24T01:14:44.529438Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Encode categorical values to the columns","metadata":{}},{"cell_type":"code","source":"# encoding categorical variables\ndict_cat = {}\n\nfor var in cat_vars:\n    print(var)\n    if var == 'id_participant': # no need to encode the participant ID\n        continue\n    # convert categorical variables into 'category' type\n    df_train[var] = df_train[var].astype('category')\n    df_test[var] = df_test[var].astype('category')\n    df_solution[var] = df_solution[var].astype('category')\n    \n    # dictionary to keep track of the variable mapping: {variable-name: {number1: string1, number2: string2, ...}\n    dict_cat[var] = dict(enumerate(df_train[var].cat.categories))\n\n    # encode variables, missing values are encoded as -1\n    df_train[var] = df_train[var].cat.codes\n    df_test[var] = df_test[var].cat.codes\n    df_solution[var] = df_solution[var].cat.codes","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.532218Z","iopub.execute_input":"2023-11-24T01:14:44.532547Z","iopub.status.idle":"2023-11-24T01:14:44.577161Z","shell.execute_reply.started":"2023-11-24T01:14:44.532519Z","shell.execute_reply":"2023-11-24T01:14:44.575847Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict_cat","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.580930Z","iopub.execute_input":"2023-11-24T01:14:44.581338Z","iopub.status.idle":"2023-11-24T01:14:44.592884Z","shell.execute_reply.started":"2023-11-24T01:14:44.581306Z","shell.execute_reply":"2023-11-24T01:14:44.591548Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Inspect dataframe where all strings are converted into intergers","metadata":{}},{"cell_type":"code","source":"# Inspect dataframe where all strings were converted into integers\ndf_train.head()","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.594246Z","iopub.execute_input":"2023-11-24T01:14:44.594609Z","iopub.status.idle":"2023-11-24T01:14:44.668085Z","shell.execute_reply.started":"2023-11-24T01:14:44.594566Z","shell.execute_reply":"2023-11-24T01:14:44.667008Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"5.2\"></a>\n## 5.2 Prediction Model \n\nBelow we are going to predict the column `q_noise_nearby` step by step.\nLater on, we are going to wrap all steps up in a function for more convenience.","metadata":{}},{"cell_type":"markdown","source":"## Orginal Size of `df_train` ","metadata":{}},{"cell_type":"code","source":"# Original size of the train dataset\ndf_train.shape","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.669215Z","iopub.execute_input":"2023-11-24T01:14:44.669523Z","iopub.status.idle":"2023-11-24T01:14:44.677064Z","shell.execute_reply.started":"2023-11-24T01:14:44.669497Z","shell.execute_reply":"2023-11-24T01:14:44.675833Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Original Size of `df_test`","metadata":{}},{"cell_type":"code","source":"# Original size of the test dataset\ndf_test.shape","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.679119Z","iopub.execute_input":"2023-11-24T01:14:44.679485Z","iopub.status.idle":"2023-11-24T01:14:44.689403Z","shell.execute_reply.started":"2023-11-24T01:14:44.679457Z","shell.execute_reply":"2023-11-24T01:14:44.688116Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Remove rows where the predicting variable is missing in the `df_train`","metadata":{}},{"cell_type":"code","source":"# Train: remove rows where the predicting variable is missing\n# In this example this doesn't remove any rows, but this will \n# be necessary for the column 'q_noise_kind'.\ndf_train_noise_nearby = df_train[df_train['q_noise_nearby'] != -1]\nprint(df_train_noise_nearby.shape)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.690532Z","iopub.execute_input":"2023-11-24T01:14:44.691000Z","iopub.status.idle":"2023-11-24T01:14:44.703961Z","shell.execute_reply.started":"2023-11-24T01:14:44.690959Z","shell.execute_reply":"2023-11-24T01:14:44.702762Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Remove rows where the predicting variable is missing in `df_test`\n","metadata":{}},{"cell_type":"code","source":"# Test: remove rows where the predicting variable is missing\ndf_test_noise_nearby = df_test[df_test['q_noise_nearby'] != -1]\nprint(df_test_noise_nearby.shape)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.705063Z","iopub.execute_input":"2023-11-24T01:14:44.705482Z","iopub.status.idle":"2023-11-24T01:14:44.718724Z","shell.execute_reply.started":"2023-11-24T01:14:44.705442Z","shell.execute_reply":"2023-11-24T01:14:44.717467Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Train: remove the id_participant column\ndf_train_noise_nearby = df_train_noise_nearby.drop(['id_participant'], axis=1)\ndf_train_noise_nearby.shape","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.720274Z","iopub.execute_input":"2023-11-24T01:14:44.720590Z","iopub.status.idle":"2023-11-24T01:14:44.731396Z","shell.execute_reply.started":"2023-11-24T01:14:44.720564Z","shell.execute_reply":"2023-11-24T01:14:44.730332Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Test: remove the id_participant column\ndf_test_noise_nearby = df_test_noise_nearby.drop(['id_participant'], axis=1)\ndf_test_noise_nearby.shape","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.732339Z","iopub.execute_input":"2023-11-24T01:14:44.732733Z","iopub.status.idle":"2023-11-24T01:14:44.744587Z","shell.execute_reply.started":"2023-11-24T01:14:44.732706Z","shell.execute_reply":"2023-11-24T01:14:44.743738Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Count classes in predicting variable\nnum_class = df_train_noise_nearby['q_noise_nearby'].unique()\nprint(num_class)\ndict_cat['q_noise_nearby']","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.745600Z","iopub.execute_input":"2023-11-24T01:14:44.746318Z","iopub.status.idle":"2023-11-24T01:14:44.759138Z","shell.execute_reply.started":"2023-11-24T01:14:44.746285Z","shell.execute_reply":"2023-11-24T01:14:44.758242Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Break dataframe into variables ","metadata":{}},{"cell_type":"code","source":"# Break dataframe into variables and ground truth\ny_train = df_train_noise_nearby['q_noise_nearby']\nX_train = df_train_noise_nearby.drop(['q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference'], axis=1)\n\ny_test = df_test_noise_nearby['q_noise_nearby']\nX_test = df_test_noise_nearby.drop(['q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference'], axis=1)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.760258Z","iopub.execute_input":"2023-11-24T01:14:44.761319Z","iopub.status.idle":"2023-11-24T01:14:44.771152Z","shell.execute_reply.started":"2023-11-24T01:14:44.761225Z","shell.execute_reply":"2023-11-24T01:14:44.769788Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Initialise the Model","metadata":{}},{"cell_type":"code","source":"# Initialize model\nclf = XGBClassifier(num_class=num_class, objective='multi:softmax', enable_categorical=False)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.772708Z","iopub.execute_input":"2023-11-24T01:14:44.773138Z","iopub.status.idle":"2023-11-24T01:14:44.787649Z","shell.execute_reply.started":"2023-11-24T01:14:44.773100Z","shell.execute_reply":"2023-11-24T01:14:44.786829Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Train model\nclf.fit(X_train, y_train)","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:44.789171Z","iopub.execute_input":"2023-11-24T01:14:44.790120Z","iopub.status.idle":"2023-11-24T01:14:47.099888Z","shell.execute_reply.started":"2023-11-24T01:14:44.790079Z","shell.execute_reply":"2023-11-24T01:14:47.098581Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Predict and evaluate\ny_pred = clf.predict(X_test)\nprint('XGBoost model accuracy score: {0:0.4f}'. format(accuracy_score(y_test, y_pred)))","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.102953Z","iopub.execute_input":"2023-11-24T01:14:47.103410Z","iopub.status.idle":"2023-11-24T01:14:47.120414Z","shell.execute_reply.started":"2023-11-24T01:14:47.103365Z","shell.execute_reply":"2023-11-24T01:14:47.119494Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Prediction of `q_noise_nearby`\n","metadata":{}},{"cell_type":"code","source":"# Copy test data into new dataframe\ndf_comparison = df_test.copy()\n\n# Assign test prediction to dataframe\ndf_comparison['q_noise_nearby (original)'] = y_test\ndf_comparison['q_noise_nearby (predicted)'] = y_pred\n\n# Convert labels from integers back to strings\ndf_comparison['q_noise_nearby (original)'] = df_comparison['q_noise_nearby (original)'].replace(dict_cat['q_noise_nearby'])\ndf_comparison['q_noise_nearby (predicted)'] = df_comparison['q_noise_nearby (predicted)'].replace(dict_cat['q_noise_nearby'])\n\n# Show dataframe\ndf_comparison[['id_participant', 'q_noise_nearby (original)', 'q_noise_nearby (predicted)', 'ws_heart_rate']]","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.121740Z","iopub.execute_input":"2023-11-24T01:14:47.122287Z","iopub.status.idle":"2023-11-24T01:14:47.146780Z","shell.execute_reply.started":"2023-11-24T01:14:47.122256Z","shell.execute_reply":"2023-11-24T01:14:47.145844Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Rows with wrong predictions","metadata":{}},{"cell_type":"code","source":"# Show rows with wrong predictions\ndf_comparison[df_comparison['q_noise_nearby (original)'] != df_comparison['q_noise_nearby (predicted)']][['id_participant', 'q_noise_nearby (original)', 'q_noise_nearby (predicted)', 'ws_heart_rate']]","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.148069Z","iopub.execute_input":"2023-11-24T01:14:47.148643Z","iopub.status.idle":"2023-11-24T01:14:47.169421Z","shell.execute_reply.started":"2023-11-24T01:14:47.148600Z","shell.execute_reply":"2023-11-24T01:14:47.168020Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n## Predict any column\nTo further improve the model, instead of just being able to predict `q_noise_nearby` , it will now be able to predict any column it is asked to predict. \n","metadata":{}},{"cell_type":"code","source":"def predict_any_column(column_name, df_train, df_test, df_solution):\n    # Remove rows where the predicting variable is missing\n    df_train = df_train[df_train[column_name] != -1]\n    df_test = df_test[df_test[column_name] != -1]\n    \n    # Remove rows where the predicting variable is missing\n    df_train = df_train.drop(columns=['id_participant'])\n    df_test = df_test.drop(columns=['id_participant'])\n    df_solution = df_solution.drop(columns=['id_participant'])\n\n    # Count classes in predicting variable\n    num_class = df_train[column_name].unique()\n    \n    # Break dataframe into variables and ground truth\n    y_train = df_train[column_name]\n    X_train = df_train.drop(['q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference'], axis=1)\n\n    y_test = df_test[column_name]\n    X_test = df_test.drop(['q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference'], axis=1)\n    \n    X_solution = df_solution.drop(['q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference'], axis=1)\n    \n    # Initialize model\n    clf = XGBClassifier(num_class=num_class, objective='multi:softmax', enable_categorical=False)\n    \n    # Train model\n    clf.fit(X_train, y_train)\n\n    # Predict and evaluate\n    y_pred = clf.predict(X_test)\n    score = accuracy_score(y_test, y_pred)\n    print('XGBoost model accuracy score: {0:0.4f}'. format(score))\n\n    # Predict solution\n    X_solution.shape\n    y_solution = clf.predict(X_solution)\n    \n    return y_solution, score","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.170751Z","iopub.execute_input":"2023-11-24T01:14:47.171130Z","iopub.status.idle":"2023-11-24T01:14:47.182447Z","shell.execute_reply.started":"2023-11-24T01:14:47.171099Z","shell.execute_reply":"2023-11-24T01:14:47.181007Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Create an empty list to collect the scores\nscore = []\n\n# Create a copy of the solution dataframe for submission\ndf_submission = df_solution.copy()","metadata":{"_kg_hide-input":false,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.184276Z","iopub.execute_input":"2023-11-24T01:14:47.184628Z","iopub.status.idle":"2023-11-24T01:14:47.200190Z","shell.execute_reply.started":"2023-11-24T01:14:47.184598Z","shell.execute_reply":"2023-11-24T01:14:47.199147Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n## Prediction of Essential Columns\n\nBesides `q_noise_nearby`, 3 other variables will also need to be predicted:\n`q_noise_kind` , `q_earphones` and `q_thermal_preference`\n\nEach prediction will arrive at an score which indicates the accuracy of the prediction for the variables","metadata":{}},{"cell_type":"markdown","source":"## Prediction `q_noise_nearby`","metadata":{}},{"cell_type":"code","source":"df_solution['q_noise_nearby'], this_score = predict_any_column('q_noise_nearby', df_train, df_test, df_solution)\nscore.append(this_score)","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:47.201599Z","iopub.execute_input":"2023-11-24T01:14:47.202608Z","iopub.status.idle":"2023-11-24T01:14:49.501731Z","shell.execute_reply.started":"2023-11-24T01:14:47.202574Z","shell.execute_reply":"2023-11-24T01:14:49.500721Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Prediction `q_noise_kind`","metadata":{}},{"cell_type":"code","source":"df_submission['q_noise_kind'], this_score  = predict_any_column('q_noise_kind', df_train, df_test, df_solution)\nscore.append(this_score)","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:49.505962Z","iopub.execute_input":"2023-11-24T01:14:49.508187Z","iopub.status.idle":"2023-11-24T01:14:53.828409Z","shell.execute_reply.started":"2023-11-24T01:14:49.508147Z","shell.execute_reply":"2023-11-24T01:14:53.827510Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n## Prediction `q_earphones`","metadata":{}},{"cell_type":"code","source":"df_submission['q_earphones'],this_score = predict_any_column('q_earphones', df_train, df_test, df_solution)\nscore.append(this_score)","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:53.829975Z","iopub.execute_input":"2023-11-24T01:14:53.830619Z","iopub.status.idle":"2023-11-24T01:14:56.178603Z","shell.execute_reply.started":"2023-11-24T01:14:53.830585Z","shell.execute_reply":"2023-11-24T01:14:56.177601Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"Predict_q_thermal_preference\"></a>\n## Prediction `q_thermal_preference`","metadata":{}},{"cell_type":"code","source":"df_submission['q_thermal_preference'],this_score = predict_any_column('q_thermal_preference', df_train, df_test, df_solution)\nscore.append(this_score)","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:56.182864Z","iopub.execute_input":"2023-11-24T01:14:56.185585Z","iopub.status.idle":"2023-11-24T01:14:59.902061Z","shell.execute_reply.started":"2023-11-24T01:14:56.185544Z","shell.execute_reply":"2023-11-24T01:14:59.901015Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n## Compute overall score\n\nThe overall predicition score is computed by taking the average score for each variable which is puts it at around 61%","metadata":{}},{"cell_type":"code","source":"# The overall score is just the averge of the scores for each column\nscore_total = np.mean(score)\nprint('Overall accuracy score: {0:0.4f}'. format(score_total))","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2023-11-24T01:14:59.906746Z","iopub.execute_input":"2023-11-24T01:14:59.910231Z","iopub.status.idle":"2023-11-24T01:14:59.920878Z","shell.execute_reply.started":"2023-11-24T01:14:59.910192Z","shell.execute_reply":"2023-11-24T01:14:59.919868Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"5.3\"></a>\n## 5.3 Impact and Justification\n\nIn this study and model, we have demonstrated the efficacy of EnviroSens's predictive model in assessing noise and heat levels in urban residential areas. Compared to conventional research methods, our model offers a significant improvement in efficiency. While traditional methods often involve lengthy, manual data collection and analysis processes, EnviroSens's model generates predictions within a few seconds to minutes. \n\nThe model's accuracy is around 60%. While there is room for improvement, this level of accuracy is noteworthy, especially considering the complex and dynamic nature of urban environments. This degree of precision, combined with the model's speed, makes it a valuable tool for urban planners and developers especially HDB\nFor HDB, the benefits of adopting EnviroSens's model are many. Firstly, the model's rapid predictions enable HDB to quickly identify areas most in need of intervention for thermal and noise discomfort. Secondly, the model's insights can guide the design and construction of housing, helping to shape more comfortable, sustainable living spaces. By relying on data-driven predictions, HDB can prioritise renovations and new developments in a way that maximises resident comfort.\n\nTherefore, while the model's 60% accuracy indicates there is room for growth and improvement, its current capabilities present a significant step forward in urban environmental management. EnviroSens's model offers HDB a practical, efficient, and reasonably accurate tool to enhance the living standards in Singapore's public housing estates, promoting healthier and more sustainable urban communities.\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"6.0\"></a>\n# 6.    Mitigation \n\nWith the use of the prediction model, HDB can implement certain measures to improve the urban conditions of current and future neighbourhoods. \n\n<a id=\"6.1\"></a>\n## 6.1    Mitigation Measures \n\n### To Address Thermal Comfort\nThermal comfort level is determined by temperature and relative humidity, HDB should tackle the problem of low thermal comfort level based on whether the area has high temperature or both temperature and relative humidity are high.\n\n- **High temperature only**: \n\nMore vegetation and parks should be built around the HDB block \nOpt for high-performance windows with low-emissivity coatings and consider double-glazing to minimise heat transfer.\nUse appropriate window treatments, such as reflective films or shades, to control the amount of sunlight entering the building.\n\n- **High temperature and relative humidity**:\n\nIncorporate proper building design principles that consider ventilation, airflow, and natural lighting. Well-designed buildings can facilitate natural air circulation, reducing the likelihood of humidity issues.\nPlan for adequate stormwater management and drainage systems to prevent water accumulation and potential moisture-related issues in buildings.\n\n### To Address Noise Pollution\nTo reduce noise pollution arising from construction and traffic, sound barriers can be constructed around the construction site. For traffic noises from highways, sound barriers can also be constructed, but the authorities als have to consider the aesthetics aspect, as the sound barriers may block the nice views that the residents enjoy. Since construction sites are temporary, the blocking of views from sound barriers are also temporary, so residents are most likely not going to have disagreements with the building of sound barriers. So, to tackle the issue of balancing aesthetics and functionality, HDB can opt to plant more trees around the highways as sound buffers or build transparent sound barriers so that they do not obstruct too much of the view. \n\nIn the case where the root cause of noise pollution is too much talking below the HDB blocks, town councils or relevant agencies should investigate the source of the problem, and these are some common causes and how to tackle these problems:\n\n- **Residents playing sports such as basketball late at night**\n\nHave the lights around the basketball courts switch off before a certain timing.\nInstall “cages” around the basketball courts and have someone from the town council to lock them after a certain timing\n\n- **Residents gathering at the coffee shops even after closing hours**\n\nInstall steel roll doors for the coffee shops, before closing the coffee shops the tables and chairs must be kept and then close the steel roll doors so that residents have nowhere to sit at the coffee shops after closing hours\n\n- **Noisy neighbours**\n\nClearly communicate noise guidelines and regulations to residents. Ensure that all residents are aware of the permissible hours for certain activities and the acceptable noise levels.\nHDB and relevant authorities should ensure strict enforcement of noise regulations and penalties for repeat offenders.\n\n\n\n\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"7.0\"></a>\n# 7.    Conclusion\n\n<a id=\"7.1\"></a>\n## 7.1   Future Works \n\nIn the future, our model aims to take into account more factors providing more data to increase the accuracy of the predictions. Information relating to current cooling systems or sound-proofing that are currently already out in place can be collected, to show how the community and environment have reacted to these measures. This would prevent any duplication of ideas, and also improve on the flaws of the current measure, allowing different measures to work hand in hand to provide a more comfortable and liveable neighbourhood. \n\nFurthermore, to make the model even better, different scenarios, such as which solutions can be used for which problems can be added into the algorithm to train it. This would allow users to obtain immediate advice on what solutions would be optimal for the problems faced in that district. \n\n\n\n<a id=\"7.2\"></a>\n## 7.2    Final Takeaway of Study \n\nOur analysis has given us valuable insights into the noise and heat patterns here in Singapore and how through machine learning and algorithmic predictions, we are able to assist in the planning and decision making of appropriate remedies to solve these issues. Through the use of this model, it saves time of people having to physically do site inspections to figure out the problem as well as the time and effort it takes to propose a solution. \n\nHowever, it cannot be understated that to achieve the best results and arrive at the best possible decision, humans are still crucial to the process. Human judgement is an important skill that should not be removed from the decision making process as at the end of the day, it is still humans who all these solutions are being catered for. At the moment, algorithmic predictions are still unable to take into account all real life scenarios, such as that of human emotions and feelings. Hence, while AI can help to streamline the decision making process, human decision making is an equally important factor in real life decision making\n\n\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"8.0\"></a>\n# 8.    References\n\n1. American Public Health Association. \"Noise as a Public Health Hazard.\" American Public Health Association. [Online]. Available: https://www.apha.org/Policies-and-Advocacy/Public-Health-Policy-Statements/Policy-Database/2022/01/07/Noise-as-a-Public-Health-Hazard  [Accessed: Nov. 16, 2023].\n\n2. Clare Heaviside, Helen Macintyre, Sotiris Vardoulakis, \"The Urban Heat Island: Implications for Health in a Changing Environment\" PubMed. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/28695487/  [Accessed: Nov. 16, 2023].\n\n3. Nicola Mucci, Veronica Traversini, Chiara Lorini, Simone De Sio, Raymond P Galea, Guglielmo Bonaccorsi, Giulio Arcangeli, \"Urban Noise and Psychological Distress: A Systematic Review,\" PubMed. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/32932901/  [Accessed: Nov. 16, 2023].\n\n4. Shilu Tong, Jason Prior, Glenn McGregor, Xiaoming Shi, Patrick Kinney, \"Urban heat: an increasing threat to global health.\" PMC. [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543181/  [Accessed: Nov. 16, 2023].\n\n5. World Health Organization. \"Heat and Health.\" WHO. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/climate-change-heat-and-health  [Accessed: Nov. 16, 2023].\n\n6. Kim Rutledge, Melissa McDaniel, Santani Teng, Hilary Hall, Tara Ramroop, Erin Sprout, Jeff Hunt, Diane Boudreau, Hilary Costa, \"Urban Heat Island\" National Geographic. [Online]. Available: \nhttps://www.nationalgeographic.org/encyclopedia/urban-heat-island/  [Accessed: Nov. 16, 2023].\n\n7. U.S. Environmental Protection Agency. \"Learn About Heat Islands.\" EPA. [Online]. Available: https://www.epa.gov/heatislands/learn-about-heat-islands  [Accessed: Nov. 16, 2023].","metadata":{}},{"cell_type":"markdown","source":"<a id=\"Create_submission_file\"></a>\n# Submission File\n","metadata":{}},{"cell_type":"code","source":"# Convert classes back form integers to strings\nfor key in dict_cat:\n    if key in df_solution.columns:\n        df_submission[key] = df_submission[key].replace(dict_cat[key])\n\n# Select only necessary columns for submission\ndf_submission = df_submission[['id_unique', 'q_noise_nearby', 'q_noise_kind', 'q_earphones', 'q_thermal_preference']].set_index('id_unique')\n\n# Write dataframe to csv file\ndf_submission.to_csv('submission.csv')\n\nprint('Congrats! The Notebook exectued successfully!')","metadata":{"execution":{"iopub.status.busy":"2023-11-24T01:14:59.922724Z","iopub.execute_input":"2023-11-24T01:14:59.923201Z","iopub.status.idle":"2023-11-24T01:14:59.960231Z","shell.execute_reply.started":"2023-11-24T01:14:59.923159Z","shell.execute_reply":"2023-11-24T01:14:59.959036Z"},"trusted":true},"execution_count":null,"outputs":[]}]}