From 517106f80b50d830bfa07bc13c381044d07e5467 Mon Sep 17 00:00:00 2001 From: Angel Mendez Date: Sat, 19 Feb 2022 12:46:43 -0600 Subject: [PATCH] feat: Add file content to translate --- .../1-Introduction/translations/assignment.es.md | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 7-TimeSeries/1-Introduction/translations/assignment.es.md diff --git a/7-TimeSeries/1-Introduction/translations/assignment.es.md b/7-TimeSeries/1-Introduction/translations/assignment.es.md new file mode 100644 index 00000000..967ce8d5 --- /dev/null +++ b/7-TimeSeries/1-Introduction/translations/assignment.es.md @@ -0,0 +1,11 @@ +# Visualize some more Time Series + +## Instructions + +You've begun to learn about Time Series Forecasting by looking at the type of data that requires this special modeling. You've visualized some data around energy. Now, look around for some other data that would benefit from Time Series Forecasting. Find three examples (try [Kaggle](https://kaggle.com) and [Azure Open Datasets](https://azure.microsoft.com/en-us/services/open-datasets/catalog/?WT.mc_id=academic-15963-cxa)) and create a notebook to visualize them. Notate any special characteristics they have (seasonality, abrupt changes, or other trends) in the notebook. + +## Rubric + +| Criteria | Exemplary | Adequate | Needs Improvement | +| -------- | ------------------------------------------------------ | ---------------------------------------------------- | ----------------------------------------------------------------------------------------- | +| | Three datasets are plotted and explained in a notebook | Two datasets are plotted and explained in a notebook | Few datasets are plotted or explained in a notebook or the data presented is insufficient |