---
title: Get Climate Data Online
subtitle: Climate change is impacting the way people live around the world
learning-goals:
  - Analyze temperature data over time
  - Parse date information so that it is represented as a datetime type
  - Use operators to convert to different units
  - "Resample time-series data to different frequencies"
params:
  id: shortcourse
  project_dirname: 'climate-karachi'
  ncei_filename: 'ncei-climate-karachi.csv'
  location: "Karachi, Pakistan"
  station_id: "PKM00041780"
  start_date: "1942-10-01"
  end_date: "2024-09-30"
  data_type: "TAVG"
jupyter:
  kernelspec:
    name: learning-portal
    language: python
    display_name: Learning Portal
---

Before we get started, let's define some parameters. You can use these if you want to change how the workflow runs from the top:

```{python}
#| tags: [parameters]
id = 'shortcourse'
project_dirname = 'climate-karachi'
ncei_filename = 'ncei-climate-karachi.csv'
location = 'Karachi, Pakistan'
station_id = 'PKM00041780'
start_date = '1942-10-01'
end_date = '2024-09-30'
data_type = 'TAVG'
```

{{< include _climate-98-download.qmd >}}

{{< include _climate-99-portfolio.qmd >}}
