chapter EDA written
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@@ -23,7 +23,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"file_path = \"adabase-public-0020-v_0_0_2.h5py\""
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"file_path = \"YOUR_FILE_PATH.h5py\""
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]
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},
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{
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@@ -87,7 +87,7 @@
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"id": "a4731c56",
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"metadata": {},
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"source": [
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"Actions units"
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"Insights on actions units"
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]
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},
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{
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@@ -167,7 +167,7 @@
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"id": "332740a8",
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"metadata": {},
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"source": [
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"Plots"
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"Example plot of ECG curve"
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]
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},
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{
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@@ -177,7 +177,6 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# df_signals_ecg = pd.read_hdf(file_path, \"SIGNALS\", mode=\"r\", columns=[\"STUDY\",\"LEVEL\", \"PHASE\", 'RAW_ECG_I'])\n",
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"df_signals_ecg = df_signals[[\"STUDY\",\"LEVEL\", \"PHASE\", 'RAW_ECG_I']]\n",
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"df_signals_ecg.shape"
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]
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@@ -37,7 +37,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"dataset_path = Path(r\"\")"
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"dataset_path = Path(r\"\") # TODO: enter path to dataset"
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]
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},
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{
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+1
-13
@@ -36,7 +36,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"path = Path(r\"/home/jovyan/data-paulusjafahrsimulator-gpu/new_datasets/50s_25Hz_dataset.parquet\")\n",
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"path = Path(r\".parquet\") # TODO: enter path to dataset\n",
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"df = pd.read_parquet(path=path)"
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]
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},
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@@ -192,18 +192,6 @@
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.10"
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}
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},
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"nbformat": 4,
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@@ -155,7 +155,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "310",
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"language": "python",
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"name": "python3"
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},
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@@ -169,7 +169,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.10"
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"version": "3.10.19"
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}
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},
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"nbformat": 4,
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