Data Wrangler is an interactive data transformation tool developed by Stanford that allows users to directly manipulate data. It provides automatic suggestions for relevant transformations to help users reformat, integrate, and handle missing values more efficiently. The tool works by combining user inputs with its internal model of common transformations to recommend applicable transforms.

1. Amu Prabhjot Singh 10BM60011
Divya Hamirwasia 10BM60025

2.  an interactive data transformation tool
developed by the Stanford Visualization
Group.
 allows direct manipulation of visual data
 provides automatic suggestions for relevant
transformations
 used in activities like reformatting data values
and formats, integrating data from multiple
sources, missing values etc
 use of Wrangler reduces the specification
time significantly

3.  When the user selects any data, applicable transformations are
suggested by the tool based on the current context of interaction
 Data wrangler uses a modeling technique to enumerate and rate the
possible transformations
 This model combines user's inputs with diversity, frequency and
specification difficulty of applicable transform types
 Wrangler provides short natural language descriptions of the
transforms and also provides the visual previews of the transform
results
 This helps analysts to assess the viable transforms quickly
 Wrangler's interactive history viewer records and shows the step of
transforms applied on the data set so as to facilitate reuse.
 Wrangler scripts can be run in a web browser using JavaScript or
Python code

4.  underlying declarative data transformation language
 language consists of 8 classes of transformations
◦ Map
 One to zero
 One to One
 One to Many
◦ Look ups and Joins
◦ Reshape
 Fold
 unfold
◦ Positional
 Fill
 Lag
◦ Sorting
◦ Aggregation
◦ Key Generation
◦ Schema Transforms

5.  This is the example data available with data
wrangler.
 House crime data from the U.S. Bureau of
Justice Statistics
 Csv format data

6. User interactions
Inferring transform
Current working parameters
transform
Generating candidate
DATA WRANGLER transforms
Data descriptions
Ranking the results
Corpus of historical
usage statistics

7.  GETTING STARTED
◦ Browser based tool: http://vis.stanford.edu/wrangler/
 DATA ENTRY
◦ copy and paste the data to be wrangled into the input window.
◦ Input format : csv files, tsv files and manual entry
 TRANSFORMS
• Cut • Merge
• Delete • Promote
• Drop • Split
• Edit • Translate
• Extract • Transpose
• Fill • Unfold
• Fold
 OUTPUT
Two types of outputs:
◦ Data Output.xlsx
 Csv, tsv, row oriented JSON, column oriented JSON, look up tables
◦ Script
 Python, java script

8.  helps to speed up the process of data
manipulation
 helps managers to spend more time analyzing
and learning from their data rather than
spending much of the time just rearranging it
 allows interactive transformation of messy, real-
world data and export data for use in
Excel, R, Tableau, Protovis etc
 LIMITATION: data containing more than 40
columns and 1000 rows cannot be wrangled