Data wrangling
Restructuring data into a desired format; process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics
Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.
Nº Q5227374 ★
Common · History
Data wrangling
Restructuring data into a desired format; process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics
Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.
Last price
—
Floor price
—
7-day median
—
30-day sales
0
30-day range
—
In circulation
0
Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
|---|
Sales history
- Last sale
- —
- 30-day average
- —
- 30-day low
- —
- 30-day high
- —
- Sales 7d
- 0
- Sales 30d
- 0
No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data. Data analysts typically spend the majority of their time in the process of data wrangling compared to the actual analysis of the data. The process of data wrangling may include further munging, data visualization, data aggregation, training a statistical model, as well as many other potential uses. Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging" the raw data (e.g. sorting) or parsing the data into predefined data structures, and finally depositing the resulting content into a data sink for storage and future use. It is closely aligned with the ETL process.
Text: Wikipédia, CC BY-SA 4.0. ·
Related cards
-
Analytics
Discovery, interpretation, and communication of meaningful patterns in data
Nº Q485396 ★★★
Not listed
-
D
Data integration
Combining data from different sources and providing a unified view
Nº Q386824 ★
Not listed
-
Big data
Information assets characterized by such a high volume, velocity, and variety to require specific technology and analytical methods for its transformation into value
Nº Q858810 ★★★
Not listed
-
Data analysis
Activity for gaining insight from data
Nº Q1988917 ★★★
Not listed
-
D
Data preservation
Type of conservation
Nº Q48797981 ★★
Not listed
-
Data model
An abstract model that organizes elements of data and standardizes how they relate to one another and to real world entities.
Nº Q1172480 ★★
Not listed