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"}}},{"cell_type":"markdown","source":"<div style=\"padding:20px;color:#DfB078;margin:0;font-size:300%;text-align:center;display:fill;border-radius:5px;background-color:#010012;overflow:hidden;font-weight:800\"> 🧒Sleep States Child || Analysis and visualization </div>","metadata":{"papermill":{"duration":0.010264,"end_time":"2023-09-07T09:17:24.453672","exception":false,"start_time":"2023-09-07T09:17:24.443408","status":"completed"},"tags":[]}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport time\nimport seaborn as sns\nimport pyarrow.parquet as pq","metadata":{"papermill":{"duration":2.477636,"end_time":"2023-09-07T09:17:26.942523","exception":false,"start_time":"2023-09-07T09:17:24.464887","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:55.329281Z","iopub.execute_input":"2023-11-01T09:11:55.330522Z","iopub.status.idle":"2023-11-01T09:11:57.781293Z","shell.execute_reply.started":"2023-11-01T09:11:55.330476Z","shell.execute_reply":"2023-11-01T09:11:57.779823Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events = pd.read_csv('/kaggle/input/child-mind-institute-detect-sleep-states/train_events.csv')","metadata":{"papermill":{"duration":0.065423,"end_time":"2023-09-07T09:17:27.01846","exception":false,"start_time":"2023-09-07T09:17:26.953037","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:57.783508Z","iopub.execute_input":"2023-11-01T09:11:57.784154Z","iopub.status.idle":"2023-11-01T09:11:57.838321Z","shell.execute_reply.started":"2023-11-01T09:11:57.784109Z","shell.execute_reply":"2023-11-01T09:11:57.837148Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events","metadata":{"papermill":{"duration":0.050501,"end_time":"2023-09-07T09:17:27.079482","exception":false,"start_time":"2023-09-07T09:17:27.028981","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:57.840992Z","iopub.execute_input":"2023-11-01T09:11:57.841458Z","iopub.status.idle":"2023-11-01T09:11:57.882934Z","shell.execute_reply.started":"2023-11-01T09:11:57.841414Z","shell.execute_reply":"2023-11-01T09:11:57.881671Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('************************************************','Rows and Columns of Train Events', train_events.shape,'************************************************')\nprint('***********************************************','Missing values in Train Events data', train_events.isna().any().any(),'************************************************')\nprint('************************************************','Missing Values in Train Events', train_events[train_events.duplicated()].sum(),'************************************************')","metadata":{"papermill":{"duration":0.053923,"end_time":"2023-09-07T09:17:27.144518","exception":false,"start_time":"2023-09-07T09:17:27.090595","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:57.886513Z","iopub.execute_input":"2023-11-01T09:11:57.887247Z","iopub.status.idle":"2023-11-01T09:11:57.930344Z","shell.execute_reply.started":"2023-11-01T09:11:57.887199Z","shell.execute_reply":"2023-11-01T09:11:57.929082Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('************************************************\\n',train_events['event'].value_counts(), '\\n************************************************')\nplt.figure(figsize=(4,4))\n\nax = sns.countplot(data=train_events, x='event')\nax.bar_label(ax.containers[0])\nplt.show()","metadata":{"papermill":{"duration":0.322946,"end_time":"2023-09-07T09:17:27.479632","exception":false,"start_time":"2023-09-07T09:17:27.156686","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:57.932015Z","iopub.execute_input":"2023-11-01T09:11:57.932574Z","iopub.status.idle":"2023-11-01T09:11:58.240388Z","shell.execute_reply.started":"2023-11-01T09:11:57.93254Z","shell.execute_reply":"2023-11-01T09:11:58.239208Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('************************************************\\n',train_events['night'].value_counts(), '\\n************************************************')\nplt.figure(figsize=(6,4))\n\nax = plt.plot(list(train_events['night']))\nplt.show()","metadata":{"papermill":{"duration":0.310919,"end_time":"2023-09-07T09:17:27.802026","exception":false,"start_time":"2023-09-07T09:17:27.491107","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:58.242024Z","iopub.execute_input":"2023-11-01T09:11:58.243217Z","iopub.status.idle":"2023-11-01T09:11:58.513996Z","shell.execute_reply.started":"2023-11-01T09:11:58.243173Z","shell.execute_reply":"2023-11-01T09:11:58.512816Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"parquet_train_file = '/kaggle/input/child-mind-institute-detect-sleep-states/train_series.parquet'\ntrain_file = pq.read_table(parquet_train_file).to_pandas()\n# print(train_file)\nparquet_test_file = '/kaggle/input/child-mind-institute-detect-sleep-states/test_series.parquet'\ntest_file = pq.read_table(parquet_test_file).to_pandas()\ndisplay(train_file)\ndisplay(test_file)","metadata":{"papermill":{"duration":56.426036,"end_time":"2023-09-07T09:18:24.240998","exception":false,"start_time":"2023-09-07T09:17:27.814962","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:11:58.516077Z","iopub.execute_input":"2023-11-01T09:11:58.516935Z","iopub.status.idle":"2023-11-01T09:12:56.915725Z","shell.execute_reply.started":"2023-11-01T09:11:58.51689Z","shell.execute_reply":"2023-11-01T09:12:56.913946Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events","metadata":{"papermill":{"duration":0.042081,"end_time":"2023-09-07T09:18:24.297717","exception":false,"start_time":"2023-09-07T09:18:24.255636","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:12:56.917777Z","iopub.execute_input":"2023-11-01T09:12:56.919128Z","iopub.status.idle":"2023-11-01T09:12:56.938546Z","shell.execute_reply.started":"2023-11-01T09:12:56.919065Z","shell.execute_reply":"2023-11-01T09:12:56.937274Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events['date'] = train_events['timestamp'].str.split('T', expand=True)[0]\ntrain_events['time'] = train_events['timestamp'].str.split('T', expand=True)[1].str.split('-', expand=True)[0]\ntrain_events['timestamp'] = pd.to_datetime(train_events['date']+' '+train_events['time'])\ntrain_events['hour'] = train_events['timestamp'].dt.hour","metadata":{"papermill":{"duration":0.27107,"end_time":"2023-09-07T09:18:24.582499","exception":false,"start_time":"2023-09-07T09:18:24.311429","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:12:56.940214Z","iopub.execute_input":"2023-11-01T09:12:56.940718Z","iopub.status.idle":"2023-11-01T09:12:57.128793Z","shell.execute_reply.started":"2023-11-01T09:12:56.940678Z","shell.execute_reply":"2023-11-01T09:12:57.127369Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events","metadata":{"papermill":{"duration":0.050049,"end_time":"2023-09-07T09:18:24.646896","exception":false,"start_time":"2023-09-07T09:18:24.596847","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:12:57.133835Z","iopub.execute_input":"2023-11-01T09:12:57.134591Z","iopub.status.idle":"2023-11-01T09:12:57.163131Z","shell.execute_reply.started":"2023-11-01T09:12:57.134534Z","shell.execute_reply":"2023-11-01T09:12:57.161884Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(6, 6))\nplt.title('Hours Distribution')\nsns.kdeplot(train_events['hour'],color='red');","metadata":{"papermill":{"duration":0.71912,"end_time":"2023-09-07T09:18:25.384864","exception":false,"start_time":"2023-09-07T09:18:24.665744","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:12:57.164886Z","iopub.execute_input":"2023-11-01T09:12:57.165377Z","iopub.status.idle":"2023-11-01T09:12:57.864219Z","shell.execute_reply.started":"2023-11-01T09:12:57.165325Z","shell.execute_reply":"2023-11-01T09:12:57.861953Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.jointplot(data=train_events, x='hour', y='event')\n# sns.jointplot(data=train_data, x='fixed acidity', y='event')\nsns.jointplot(data=train_events, x='step', y='event')\nsns.jointplot(data=train_events, x='night', y='event')","metadata":{"papermill":{"duration":3.141547,"end_time":"2023-09-07T09:18:28.552273","exception":false,"start_time":"2023-09-07T09:18:25.410726","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:12:57.872412Z","iopub.execute_input":"2023-11-01T09:12:57.873095Z","iopub.status.idle":"2023-11-01T09:13:01.112494Z","shell.execute_reply.started":"2023-11-01T09:12:57.873039Z","shell.execute_reply":"2023-11-01T09:13:01.111127Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(train_events.columns)","metadata":{"papermill":{"duration":0.033484,"end_time":"2023-09-07T09:18:28.602678","exception":false,"start_time":"2023-09-07T09:18:28.569194","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:13:01.114151Z","iopub.execute_input":"2023-11-01T09:13:01.114547Z","iopub.status.idle":"2023-11-01T09:13:01.125626Z","shell.execute_reply.started":"2023-11-01T09:13:01.114514Z","shell.execute_reply":"2023-11-01T09:13:01.123676Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_events.dtypes.value_counts().plot.pie(autopct='%0.2f%%')","metadata":{"papermill":{"duration":0.213939,"end_time":"2023-09-07T09:18:28.835366","exception":false,"start_time":"2023-09-07T09:18:28.621427","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:13:01.127527Z","iopub.execute_input":"2023-11-01T09:13:01.128057Z","iopub.status.idle":"2023-11-01T09:13:01.353674Z","shell.execute_reply.started":"2023-11-01T09:13:01.128007Z","shell.execute_reply":"2023-11-01T09:13:01.351108Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.preprocessing import LabelEncoder\ntrain_events_new = train_events.drop(['series_id', 'timestamp'], axis='columns')\nstring_col = train_events_new.select_dtypes(include=('object')).columns\nl_e = LabelEncoder()\nfor col in string_col:\n    train_events_new[col] = l_e.fit_transform(train_events_new[col].astype('str'))\n\ntrain_for_box_plot = train_events\nstring_col1 = train_for_box_plot.select_dtypes(include=('object')).columns\nl_e = LabelEncoder()\nfor col in string_col1:\n    train_for_box_plot[col] = l_e.fit_transform(train_for_box_plot[col].astype('str'))","metadata":{"papermill":{"duration":0.323251,"end_time":"2023-09-07T09:18:29.179118","exception":false,"start_time":"2023-09-07T09:18:28.855867","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:13:01.356444Z","iopub.execute_input":"2023-11-01T09:13:01.358264Z","iopub.status.idle":"2023-11-01T09:13:01.545856Z","shell.execute_reply.started":"2023-11-01T09:13:01.358208Z","shell.execute_reply":"2023-11-01T09:13:01.544596Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fig, axs = plt.subplots(3,2, figsize=(16,12))\n\nfor f, ax in zip(train_events_new,axs.ravel()):\n    sns.boxplot(data=train_for_box_plot, x='event',y= f, ax=ax)\nplt.suptitle(\"The Relationship between features and target\", y=1.02, size=18)\nplt.tight_layout()\nplt.show()","metadata":{"papermill":{"duration":1.384746,"end_time":"2023-09-07T09:18:30.584213","exception":false,"start_time":"2023-09-07T09:18:29.199467","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:13:01.547156Z","iopub.execute_input":"2023-11-01T09:13:01.547485Z","iopub.status.idle":"2023-11-01T09:13:02.859328Z","shell.execute_reply.started":"2023-11-01T09:13:01.547455Z","shell.execute_reply":"2023-11-01T09:13:02.857803Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(15, 7))\nsns.lineplot(data=train_events,x=\"event\",y=\"hour\",color=\"red\",label=\"onset\")\nsns.lineplot(data=train_events,x=\"event\",y=\"time\",color=\"blue\",label=\"wakeup\")","metadata":{"papermill":{"duration":0.862618,"end_time":"2023-09-07T09:18:31.464984","exception":false,"start_time":"2023-09-07T09:18:30.602366","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-11-01T09:13:02.860989Z","iopub.execute_input":"2023-11-01T09:13:02.861406Z","iopub.status.idle":"2023-11-01T09:13:03.797764Z","shell.execute_reply.started":"2023-11-01T09:13:02.861372Z","shell.execute_reply":"2023-11-01T09:13:03.796239Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Visit Related Health Datasets\n\n#### 1. Global COVID 19 Dataset \nhttps://www.kaggle.com/datasets/meeratif/full-grouped\n\n#### 2. Pakistan COVID 19 Dataset\nhttps://www.kaggle.com/datasets/meeratif/pakistan-covid-dataset","metadata":{"papermill":{"duration":0.022725,"end_time":"2023-09-07T09:18:31.557106","exception":false,"start_time":"2023-09-07T09:18:31.534381","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"### Wages \n#### 1. Countries by Average Wages Monthly and Yearly\nhttps://www.kaggle.com/datasets/meeratif/list-of-countries-by-average-wage-monthly-yearly","metadata":{"papermill":{"duration":0.020657,"end_time":"2023-09-07T09:18:31.601639","exception":false,"start_time":"2023-09-07T09:18:31.580982","status":"completed"},"tags":[]}}]}