<commit_before># TeamDynamix Import and Visualization Script

This script connects to your TeamDynamix instance, downloads your data, and then creates a set of Tableau extract files.

## Installation

1. `git clone https://github.com/coopermj/TeamDynamixFun`
1. `cd TeamDynamixFun`
1. Install [Python 2 (2.7.9+)](https://www.python.org/downloads/windows/) (Mac/Linux should have it)
2. Install [Tableau SDK](https://onlinehelp.tableau.com/current/api/sdk/en-us/help.htm#SDK/tableau_sdk_installing.htm%3FTocPath%3D_____3)
3. `pip install -r requirements.txt`
4. `python dailyBuilder.py`
<commit_msg>More doc changes<commit_after># TeamDynamix Import and Visualization Script

This script connects to your TeamDynamix instance, downloads your data, and then creates a set of Tableau extract files. You should not need to be an administrator to use this script.

## Installation

1. `git clone https://github.com/coopermj/TeamDynamixFun`
1. `cd TeamDynamixFun`
1. Install [Python 2 (2.7.9+)](https://www.python.org/downloads/windows/) (Mac/Linux should have it)
2. Install [Tableau SDK](https://onlinehelp.tableau.com/current/api/sdk/en-us/help.htm#SDK/tableau_sdk_installing.htm%3FTocPath%3D_____3)
3. `pip install -r requirements.txt`
4. `python dailyBuilder.py`
5. Follow the prompts!

Note that the TeamDynamix API requires using the non-Single Sign On login. You can test your log in at [https://app.teamdynamix.com/TDNext/Login.aspx](https://app.teamdynamix.com/TDNext/Login.aspx) and make sure you can log in. Your username generally is an email address.


{'fraction_non_alphanumeric': 0.11089743589743589, 'fraction_numerical': 0.01730769230769231, 'mean_word_length': 4.846441947565543, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 8, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3416024', 'n_tokens_mistral': 532, 'n_tokens_neox': 504, 'n_words': 160}