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TORRENT DETAILS
Lynda - Crossfilter For Data Science Essential Training [AhLaN]
TORRENT SUMMARY
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Need to slice and dice large and complex JavaScript data arrays with maximum speed and effectiveness? Enter Crossfilter.js. An alternative to expensive tools like Qlikview, Crossfilter manages the data that lie behind charts, allowing data scientists to group and filter data quickly and easily, right in the browser. Join Emma Saunders in this entry- through intermediate-level course, which explores data indexing and filtering with Crossfilter. Learn how to download and set up Crossfilter, create and use dimensions (which function similarly to properties) to filter data, group and reduce results, set up advanced filters to sort by range or function, and perform actions (like removals) on matching records.
Topics include:
Downloading Crossfilter
Cross-filtering data
Creating dimensions
Grouping data
Filtering by range and function
Removing matching records
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
1 - Introduction/01 - Introduction.mp4
4.2 MB
1 - Introduction/02 - What is Crossfilter.mp4
8.8 MB
1 - Introduction/03 - Assessing your current skills.mp4
2.1 MB
2 - 1. Preparing to Use Crossfilter.js/04 - Recalling HTML basics.mp4
7.2 MB
2 - 1. Preparing to Use Crossfilter.js/05 - Downloading Crossfilter.js.mp4
8.4 MB
2 - 1. Preparing to Use Crossfilter.js/06 - Logging dummy data to the console.mp4
8.2 MB
2 - 1. Preparing to Use Crossfilter.js/07 - Seeing cross-filtered data with print_filter.js.mp4
8.3 MB
3 - 2. Using Dimensions in Crossfilter/08 - Cross-filtering our data.mp4
18.1 MB
3 - 2. Using Dimensions in Crossfilter/09 - Creating a dimension.mp4
25.4 MB
3 - 2. Using Dimensions in Crossfilter/10 - Advanced dimensions.mp4
14.7 MB
3 - 2. Using Dimensions in Crossfilter/11 - Why dimensions are expensive.mp4
3.8 MB
4 - 3. Groups/12 - Grouping your data with group().mp4
24 MB
4 - 3. Groups/13 - Using groupAll() on a dimension.mp4
7.8 MB
4 - 3. Groups/14 - Counting rows with reduceCount().mp4
10.2 MB
4 - 3. Groups/15 - Calculating from data points with reduceSum().mp4
7.1 MB
4 - 3. Groups/16 - Making sense of reduce().mp4
29.4 MB
5 - 4. Filters/17 - Filtering and statefulness.mp4
30.9 MB
5 - 4. Filters/18 - Filtering by range.mp4
20.3 MB
5 - 4. Filters/19 - Filtering by function.mp4
15.2 MB
5 - 4. Filters/20 - Clearing and obeying filters.mp4
12 MB
5 - 4. Filters/21 - Removing records matching filters.mp4
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