rule histogram_phone_data_yield: input: "data/processed/features/all_participants/all_sensor_features.csv" output: "reports/data_exploration/histogram_phone_data_yield.html" script: "../src/visualization/histogram_phone_data_yield.py" rule heatmap_sensors_per_minute_per_time_segment: input: phone_data_yield = "data/interim/{pid}/phone_yielded_timestamps_with_datetime.csv", participant_file = "data/external/participant_files/{pid}.yaml", time_segments_labels = "data/interim/time_segments/{pid}_time_segments_labels.csv" params: pid = "{pid}" output: "reports/interim/{pid}/heatmap_sensors_per_minute_per_time_segment.html" script: "../src/visualization/heatmap_sensors_per_minute_per_time_segment.py" rule merge_heatmap_sensors_per_minute_per_time_segment: input: heatmap_sensors_per_minute_per_time_segment = expand("reports/interim/{pid}/heatmap_sensors_per_minute_per_time_segment.html", pid=config["PIDS"]) output: "reports/data_exploration/heatmap_sensors_per_minute_per_time_segment.html" script: "../src/visualization/merge_heatmap_sensors_per_minute_per_time_segment.Rmd" rule heatmap_sensor_row_count_per_time_segment: input: all_sensors = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor = map(str.lower, config["HEATMAP_SENSOR_ROW_COUNT_PER_TIME_SEGMENT"]["SENSORS"])), phone_data_yield = "data/processed/features/{pid}/phone_data_yield.csv", participant_file = "data/external/participant_files/{pid}.yaml", time_segments_labels = "data/interim/time_segments/{pid}_time_segments_labels.csv" params: pid = "{pid}" output: "reports/interim/{pid}/heatmap_sensor_row_count_per_time_segment.html" script: "../src/visualization/heatmap_sensor_row_count_per_time_segment.py" rule merge_heatmap_sensor_row_count_per_time_segment: input: heatmap_sensor_row_count_per_time_segment = expand("reports/interim/{pid}/heatmap_sensor_row_count_per_time_segment.html", pid=config["PIDS"]) output: "reports/data_exploration/heatmap_sensor_row_count_per_time_segment.html" script: "../src/visualization/merge_heatmap_sensor_row_count_per_time_segment.Rmd" rule heatmap_phone_data_yield_per_participant_per_time_segment: input: phone_data_yield = expand("data/processed/features/{pid}/phone_data_yield.csv", pid=config["PIDS"]), participant_file = expand("data/external/participant_files/{pid}.yaml", pid=config["PIDS"]), time_segments_labels = expand("data/interim/time_segments/{pid}_time_segments_labels.csv", pid=config["PIDS"]) params: time = config["HEATMAP_PHONE_DATA_YIELD_PER_PARTICIPANT_PER_TIME_SEGMENT"]["TIME"] output: "reports/data_exploration/heatmap_phone_data_yield_per_participant_per_time_segment.html" script: "../src/visualization/heatmap_phone_data_yield_per_participant_per_time_segment.py" rule heatmap_feature_correlation_matrix: input: all_sensor_features = "data/processed/features/all_participants/all_sensor_features.csv" # before data cleaning params: min_rows_ratio = config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["MIN_ROWS_RATIO"], corr_threshold = config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["CORR_THRESHOLD"], corr_method = config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["CORR_METHOD"] output: "reports/data_exploration/heatmap_feature_correlation_matrix.html" script: "../src/visualization/heatmap_feature_correlation_matrix.py"