Data Visual Analysis (Column, Line, Thermal)

1. Project introduction 1.1) Project Blog Address https://rpc.cnblogs.com/metaweblog/yyh28 1.2 Functions and Features of Project Completion Analyse the file''Jimei University Enrollment Score. xlsx''to complete the following functions: 1) The average scores of different provinces in this batch from 2015 to 2018 at Jimei University. The column c ...

Posted by fangorn on Mon, 09 Dec 2019 14:53:51 -0800

How to remove Youdao cloud note ads (windows)

I. applicable to versions before 6.0 You just need to: find the installation path of cloud notes, * \ Youdao\YoudaoNote\theme\build.xml Open the file with a notebook, find the words "advertisement in the lower left corner", and delete the following code: <PanelAd type="adpanel" css="public" ass="mainform panelclient PanelAd"> ...

Posted by Jarl on Sun, 03 Nov 2019 14:24:14 -0800

R Language Constructs Protein Network and Implements GN Algorithms

1. Construction of Protein Network We used hunam-HIV PPI.csv, a human HIV-related protein interaction data set, to construct this protein interaction network. In R, we can read data from files stored outside the R environment. Data can also be written to files stored and accessed by the operating system. R can read and write various file forma ...

Posted by Stonewall on Sun, 22 Sep 2019 07:42:01 -0700

django database table building process and table structure

Catalog Configure the database Create a table structure Settings of multi-table gateways Self-Creating Association Table Method Joint use of self-built tables and ManyTo ManyField Configure the database In the settings.py file of the Django project, configure database connection inf ...

Posted by peppeto on Wed, 19 Jun 2019 11:36:13 -0700

Simple linear regression using gradient descent method

Recently, many small data mining projects have been done, using and comparing N-multiple algorithms, and understanding many machine learning tools, such as R language, Spark machine learning library, Python, Tensorflow and RapidMiner, etc. But I feel that I can't go deep into it, at best I just play with other people's tools. The advantages an ...

Posted by vishakh369 on Fri, 14 Jun 2019 14:22:15 -0700

R Language Programming: One of Ali Push-Pen Test

R Language Programming: One of Ali Push-Pen Test subject Muzhe is a picker in a bird warehouse, but he has a very strange habit.Each pickup is lighter than the one previously picked. You can get one dollar each time you pick it up. Muzhe wants to know how much money you can make in this way. 32 34 7 33 21 2 13 12 3 11 26 36 16 3 ...

Posted by Guernica on Sat, 08 Jun 2019 09:12:44 -0700

Grouping operations for Python data analysis

A common step in data analysis is to group data sets and then apply functions, which can also be called grouping operations. The God Hadley Wickham coined the term split-apply-combine, which means split-application-merge. So when we talk about grouping operations, what are we actually talking about? Splitting: Dividing and grouping data accord ...

Posted by Mordecai on Tue, 04 Jun 2019 16:19:32 -0700

Understanding the Time Series Analysis of R Language Development

A time series is a series of data points, each of which is associated with a time stamp.A simple example is the price of a stock at different times of the day. Another example is the amount of rainfall in an area during different months of the year. The R language uses many functions to create, manipulate and draw time series ...

Posted by Sanoz0r on Tue, 07 May 2019 01:15:40 -0700

R Language Data Processing Package dplyr, tidyr Notes

The dplyr package, a new work of Hadley Wickham, is mainly used for data cleaning and collation. It focuses on data frame data format, which greatly improves data processing speed and provides an interface with other databases. The author of the tidyr package is Hadley Wickham, which is used for "tidy" your data. This package is ofte ...

Posted by Riddick on Wed, 20 Mar 2019 20:18:55 -0700

Sqldf Packet Learning in R

Sqldf Packet Learning in R SQL has powerful functions, not only to achieve data cleaning, statistics, operations, but also to achieve data storage, control, definition and invocation. More and more companies require data analysts not only to master the theoretical methods and programming capabilities of statistical modeling an ...

Posted by jasonla on Wed, 23 Jan 2019 19:21:13 -0800