# Week 6 overview
## Learning Objectives:

1. Tabular data analysis with Pandas
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## Assignments:

[Homework 2](https://docs.google.com/document/d/1iiCbcSdz7Ln_VLydlxontG_2qloQH503uUB8VxMLh0E/edit?usp=sharing) DUE is due!

## Class notes:

### Feb. 21

#### Preparation:

Go to your **atm350** directory

In your atm350 directory, make a directory named *230221* and cd into it

**Copy** all the files ending in `.ipynb` from the `/spare11/atm350/common/feb21` directory into your *230221* directory

#### Activities

1. **Lab exercise**: Complete the 02_MatplotlibNYSM.ipynb notebook

1. Pandas notebook 1 (**01_pandas.ipynb**): Analysis of Albany NY daily climate data from 2022

### Feb. 23

#### Preparation:

Go to your **atm350** directory

In your atm350 directory, make a directory named *230223* and cd into it

**Copy** the single `.ipynb` file from the `/spare11/atm350/common/feb23` directory into your *230223* directory

#### Activities


1. Pandas notebook 1 ((Feb 21) **01_pandas.ipynb**): Analysis of Albany NY daily climate data from 2022

1. Pandas notebook 2 (**02_pandas.ipynb**): More analysis of Albany NY daily climate data from 2022