![]() ![]() KCVR (1570 AM 5 kW LODI, CA Owner: ENTRAVISION HOLDINGS, LLC).KSMH (1620 AM 10 kW WEST SACRAMENTO, CA Owner: IHR EDUCATIONAL BROADCASTING).KNBR (680 AM 50 kW SAN FRANCISCO, CA Owner: KNBR LICO, INC.).KTRB (860 AM 50 kW MODESTO, CA Owner: PAPPAS RADIO OF CALIFORNIA, A CALIFORNIA LIMITED PARTNERSHIP).KCBS (740 AM 50 kW SAN FRANCISCO, CA Owner: INFINITY BROADCASTING OPERATIONS, INC.).KLIB (1110 AM 10 kW ROSEVILLE, CA Owner: WAY BROADCASTING, INC.).KTKZ (1380 AM 5 kW SACRAMENTO, CA Owner: VISTA BROADCASTING, INC.).KFBK (1530 AM 50 kW SACRAMENTO, CA Owner: AMFM RADIO LICENSES, L.L.C.).KFIA (710 AM 25 kW CARMICHAEL, CA Owner: VISTA BROADCASTING INC.).KCBC (770 AM 50 kW RIVERBANK, CA Owner: KIERTRON, INC.).KEBR (1210 AM 5 kW ROCKLIN, CA Owner: FAMILY STATIONS, INC.).KSTE (650 AM 25 kW RANCHO CORDOVA, CA Owner: AMFM RADIO LICENSES, L.L.C.).KHTK (1140 AM 50 kW SACRAMENTO, CA Owner: INFINITY RADIO SUBSIDIARY OPERATIONS INC.).Major Disasters (Presidential) Declared: 11 Emergencies Declared: 3 Causes of natural disasters: Floods: 13, Winter Storms: 6, Storms: 5, Mudslides: 4, Landslides: 3, Drought: 1, Earthquake: 1, Heavy Rain: 1, Hurricane: 1, Tornado: 1, Wind: 1, Other: 1 (Note: some incidents may be assigned to more than one category). On at 13:12:21, a magnitude 7.9 (7.9 UK, Class: Major, Intensity: VIII - XII) earthquake occurred 102.8 miles away from Clay center, causing $524,000,000 total damage On at 00:04:15, a magnitude 7.1 (6.5 MB, 7.1 MS, 6.9 MW, 7.0 ML) earthquake occurred 91.2 miles away from the city center, causing 62 deaths (62 shaking deaths) and 3757 injuries, causing $1,305,032,704 total damage On at 11:52:14, a magnitude 7.7 (7.7 UK) earthquake occurred 259.9 miles away from Clay center, causing $50,000,000 total damage On at 06:52:48, a magnitude 7.6 (7.6 UK) earthquake occurred 246.2 miles away from Clay center On at 13:51:53, a magnitude 7.5 (7.5 UK) earthquake occurred 236.7 miles away from the city center On at 06:10:09, a magnitude 7.2 (7.2 UK) earthquake occurred 167.0 miles away from the city center Magnitude types: body-wave magnitude (MB), local magnitude (ML), surface-wave magnitude (MS), moment magnitude (MW) Natural disasters: The number of natural disasters in Sacramento County (18) is near the US average (15). It is 7851% greater than the overall U.S. Earthquake activity: Clay-area historical earthquake activity is significantly above California state average. ColumnSelector () # selects num or cat columns, ideal for a Feature Union or Pipeline - klib. cat_pipe () # provides common operations for preprocessing of categorical data - klib. num_pipe () # provides common operations for preprocessing of numerical data - klib. feature_selection_pipe () # provides common operations for feature selection - klib. train_dev_test_split ( df ) # splits a dataset and a label into train, optionally dev and test sets - klib. loss of information # klib.preprocess - functions for data preprocessing (feature selection, scaling. pool_duplicate_subsets ( df ) # pools subset of cols based on duplicates with min. mv_col_handling ( df ) # drops features with high ratio of missing vals based on informational content - klib. drop_missing ( df ) # drops missing values, also called in data_cleaning() - klib. convert_datatypes ( df ) # converts existing to more efficient dtypes, also called inside data_cleaning() - klib. clean_column_names ( df ) # cleans and standardizes column names, also called inside data_cleaning() - klib. data_cleaning ( df ) # performs datacleaning (drop duplicates & empty rows/cols, adjust dtypes.) - klib. missingval_plot ( df ) # returns a figure containing information about missing values # klib.clean - functions for cleaning datasets - klib. dist_plot ( df ) # returns a distribution plot for every numeric feature - klib. corr_plot ( df ) # returns a color-encoded heatmap, ideal for correlations - klib. corr_mat ( df ) # returns a color-encoded correlation matrix - klib. cat_plot ( df ) # returns a visualization of the number and frequency of categorical features - klib. DataFrame ( data ) # scribe - functions for visualizing datasets - klib. ![]()
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