Dataplay

Thank you for using Dataplay.

This package was made to help with data handling

Retrieve, Data from a variety of formats
A Special function for retrieving ACS data
Merge data using optional crosswalks
Visualize Data for the interactive web

To get started, simply install your the dataplay package, import one of it's modules!

Thank You For Using Dataplay.
Install The Package
Import Modules
Getting Help
Examples
Example 1
Example 2
Example 3
Example 4

Install the Package

Dataplay is on PyPI so you can install the scripts as a python library.

Import Modules

Import the installed module into your code:

Now you could do something like:

Getting Help

You can get information on the package, modules, and methods by using the help command.

Here we look at the package's modules:

  Help on package dataplay:

NAME
    dataplay

PACKAGE CONTENTS
    corr
    geoms
    intaker
    merge
    timelapse_data_gifs

FILE
    c:\users\charl\documents\github\karpatic\src\ipynb\dataplay\dataplay\__init__.py

Examples

Example 1

Define our download parameters.

Then download the Baltimore City ACS data using the imported VitalSigns library.

	B19001_001E_Total	B19001_002E_Total_Less_than_$10,000	B19001_003E_Total_$10,000_to_$14,999	B19001_004E_Total_$15,000_to_$19,999	B19001_005E_Total_$20,000_to_$24,999	B19001_006E_Total_$25,000_to_$29,999	B19001_007E_Total_$30,000_to_$34,999	B19001_008E_Total_$35,000_to_$39,999	B19001_009E_Total_$40,000_to_$44,999	B19001_010E_Total_$45,000_to_$49,999	B19001_011E_Total_$50,000_to_$59,999	B19001_012E_Total_$60,000_to_$74,999	B19001_013E_Total_$75,000_to_$99,999	B19001_014E_Total_$100,000_to_$124,999	B19001_015E_Total_$125,000_to_$149,999	B19001_016E_Total_$150,000_to_$199,999	B19001_017E_Total_$200,000_or_more	state	county	tract
NAME
Census Tract 2710.02	1510	209	73	94	97	110	119	97	65	36	149	168	106	66	44	50	27	24	510	271002
Census Tract 2604.02	1134	146	29	73	80	41	91	49	75	81	170	57	162	63	11	6	0	24	510	260402

Example 2

Here we import and display a geospatial dataset with special intake requirements.

Example 3

Now in this example we will load in a bunch of coorinates

And get the number of points in each of our corresponding polygons (from above)

Example 4

What were to happen if I wanted to create a interactive click map with the label of polygon on each point?

Well, we just run the reverse operation!

And then we can visualize it like:

Make this Notebook Trusted to load map: File -> Trust Notebook

These interactive visualizations can be exported to html using a tool found later in this document.

Its how I made this page!

If you like what you see, there is more in the package you will just have to explore.