Rules
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Rules

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Name Version Rating Creator Description Active
Present-basic-info-on-table-for-pandas-when-required 4 - Florian_Dietz Reacts to a [[symbol:task_present_table_for_pandas]] by calling [[program:PresentBasicInfoOnTableForPandas]] Yes
Offer-to-visualize-timeseries-for-pandas 3 - Florian_Dietz Reacts to a [[symbol:task_explore_data_for_pandas]] with a [[symbol:require_open_ended_work]] by offering [[program:VisualizeTimeseriesForPandas]] if there are any datetime fields that could be turned into timeseries. Yes
Do-basics-for-task-data-cleansing-and-analysis-for-pandas 9 - Florian_Dietz When working on a [[symbol:task_data_cleansing_and_analysis_for_pandas]], run the program [[program:BasicDataCleansingAndAnalysisForPandas]] once to start the task off. Yes
Do-advanced-data-cleansing-and-analysis-for-pandas 3 - Florian_Dietz When working on a [[symbol:task_data_cleansing_and_analysis_for_pandas]], supplement the program [[program:BasicDataCleansingAndAnalysisForPandas]] with the program [[program:AdvancedDataCleansingAndAnalysisForPandas]], which has advanced functionality for a number of modifications. Yes
Demo-data-exploration 26 average of 4.50 from 1 users Florian_Dietz This starts Rule a major series of tasks, each dependent on each other. The purpose of this Rule is the initial exploration of the content of a table. 1. Acquire a file from the user through [[symbol:task_obtain_file_from_user]]. 2. Transform the file into a pickled Pandas DataFrame using [[symbol:task_convert_file_type]]. 3. Cleanse and analyze the file through [[symbol:task_data_cleansing_and_analysis_for_pandas]]. 4. Present the results through [[symbol:task_present_table_for_pandas]]. 5. Perform additional, more complex analyses through [[symbol:task_explore_data_for_pandas]]. Yes
Demo-data-exploration-skip-analysis 2 - Florian_Dietz If [[symbol:demo_data_exploration_skip_analysis]] is set, reacts to [[rule:Demo-data-exploration]] by marking [[symbol:task_data_cleansing_and_analysis_for_pandas]] as done as soon as [[program:BasicDataCleansingAndAnalysisForPandas]] has run once. The result of this is that all in-depth analysis is skipped, and the only analysis that is done is the perfunctory assigning of info_ Tags by [[program:BasicDataCleansingAndAnalysisForPandas]] when it runs the first time. Yes
Demo-data-exploration-restrict-analysis-in-stages 12 - Florian_Dietz This Rule works with [[rule:Demo-data-exploration]] and uses [[symbol:restrict_analysis_types_for_data_analysis_pandas]] to restrict the types of analyses that are used in stages. Yes
Demo-data-exploration-import-analysis 3 - Florian_Dietz Reacts to [[rule:Demo-data-exploration]] and offers to import an existing analysis when [[symbol:task_obtain_file_from_user]] starts. Yes
Demo-data-exploration-export-analysis 8 - Florian_Dietz Reacts to [[rule:Demo-data-exploration]] and stores the result of the analysis, for later import. Yes
Enrich-convert-csv-to-pandas-dataframe 3 - initial_tools React to a [[symbol:task_convert_file_type]] with a [[symbol:require_format_excel]]. If the file targeted by the [[symbol:require_format_pickled_pandas_dataframe]] is of type csv, runs [[program:Enrich_Convert_CSV_to_Pandas_Dataframe]] on it. This Rule does NOT use chaining. It was added after the following Rules, to speed things up a bit because it turned out that the conversion CSV->Pandas needed to be fast and so couldn't take two steps: -[[rule:Enrich-convert-csv-to-excel-with-possible-chaining]] -[[rule:Enrich-convert-excel-to-pandas-dataframe-with-possible-chaining]] -[[rule:Enrich-convert-pandas-dataframe-to-csv-with-possible-chaining]] Yes