| Present-basic-info-on-table-for-pandas-when-required |
4 |
- |
floriandietz@elody.com |
Reacts to a [[symbol:task_present_table_for_pandas]] by calling [[program:PresentBasicInfoOnTableForPandas]] |
Yes
|
| Offer-to-visualize-timeseries-for-pandas |
3 |
- |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
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 |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
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 |
- |
floriandietz@elody.com |
Reacts to [[rule:Demo-data-exploration]] and stores the result of the analysis, for later import. |
Yes
|
| Demo-data-exploration-additional-info |
3 |
- |
floriandietz@elody.com |
This works alongside [[rule:Demo-data-exploration]] and generates additional informative messages for the user. |
Yes
|
