Warp for Mac 3.9 激活版 – 优秀的数据分析工具

Warp 是一款Mac上优秀的数据分析工具，可以从文件或数据库中导入数据进行各种分析，如CSV、MySQL、PostgreSQL等，与大多数的数据分析应用程序不一样，在Warp中，你不必输入任何编程代码，很不错！

[Warp 在 Mac App Store上售价88元]

Warp for Mac 3.9 介绍

Warp allows you to convert and analyze (very) large databases with ease at the speed of light. In Warp, you work on a small subset of the data, after which Warp repeats your actions on the entire dataset. Unlike most data-analysis apps, you do not have to type any codes in Warp.

Features

Read data from files (e.g., CSVs), databases (MySQL, PostgreSQL, or SQLite) or even big data warehouses (RethinkDB and Facebook Presto)
Effortlessly juggle around data between files and databases by simply dragging-and-dropping! Load CSV files into MySQL or transfer a PostgreSQL table to a RethinkDB table by just dragging one to the other.
Efficiently analyze large datasets: Warp works closely together with databases to deliver the best performance.
Work faster by creating your analysis on a small subset of the data, then run it on all data with only a single click
Use the same formulas and techniques (such as pivot tables) you already know from Microsoft Excel
Easily re-run an analysis on different data, possibly from different sources
Easy-to-use, drag and drop interface, but the pro features are never more than a click away

v3.9版本新功能

Version 3.9:

You can now rank rows as well as calculate running aggregates (e.g., running average)
You can set a minimum cell size for aggregations (e.g., in pivot table) which helps preserve statistical anonymity
Warp can now read JSON files
The formula syntax for referencing columns has been simplified; simply use the column name if it contains only alphanumeric characters and starts with an alphabetic character; otherwise just use "[colum_name]" instead of "[@column_name]"
Likewise, the syntax for referencing foreign columns has been simplified to "#column" and "#[column_name]"
Presto performance has been greatly improved, as Warp now pushes down operations to Presto when multiple tables from the same server are involved
Warp now supports blob values
A native data type for lists has been introduced
Empty (NULL) values are now sorted consistently when sorting