data analysis for dummies

#-*-Coding:utf-8-*-# The Nineth chapter of Python for data analysis# Data aggregation and grouping operationsImport Pandas as PDImport NumPy as NPImport time# Group operation Process, Split-apply-combine# Split App MergeStart = Time.time ()Np.random.seed (10)# 1, GroupBy technology# 1.1, citationsDF = PD. DataFrame ({' Key1 ': [' A ', ' B ', ' A ', ' B ', ' a '],

the skewness coefficient is greater than 1 or less than 1 , called a highly skewed distribution, if the skewness coefficients are 0.5~1 or -1~0.5 is considered to be a medium-biased distribution; Peak State and its measurement ; the peak state is relative to the standard normal distribution. If a set of data obeys a standard normal distribution, then the value of the peak state coefficient is equal to 0, if the value of the peak state coefficient is

In the previous section, we crawled nearly 70 thousand pieces of second-hand house data using crawler tools. This section pre-processes the data, that is, the so-called ETL (extract-transform-load) I. Necessity of ETL tools Data cleansing is a prerequisite for data analysis

This article is quoted from the "new data structure exercises and analysis" (Li Chunbao, etc.) the 1th chapter.1. Basic concepts of data structure 1.1Data is a symbolic representation of an objective thing, which in computer science refers to all the symbols that can be entered into a computer and processed by a computer program. For example, integers, real numbe

7 Module Development-statistical analysisNote: Each statistic index can be cross-multiplied with each dimension table, so that the statistical results of each dimension are limited, the code of the cross-multiplication and the comment information are described in the projectEngineering code files, in order to display at the front-end faster, each of the indicators are calculated in advance of the dimensions of the results are stored in MySQL 1. PV Statistics 1.1 Multi- Dimension statistics PV

Kaggle-titantic, From:https://www.youtube.com/watch?v=siepqqsplkaInstall Matplotlib:Conda Install MatplotlibInstall Scikit-learn:Conda Install Scikit-learnTrain_df.count () #查看缺失数据TRAIN_DF. Age.min () train_df. Age.max ()TRAIN_DF. Survived.value_counts ()TRAIN_DF. Sex.value_counts (). Plot (kind= ' bar)TRAIN_DF [(train_df[' Sex '] = = ' Male ') (train_df[' Pclass '] = = 1)] [' Survived '].value_counts (). Plot (kind= ' bar ')Data

The content of this article is PHP serialize serialized data and JSON formatted data analysis. if you need it, refer to PHP serialize to serialize variables, return a string expression with variable types and structures, while JSON is a lighter and more friendly format for interface (AJAX, REST, etc.) data exchange. In

Recently encountered a fairly good, beginner-friendly project that describes how to parse JSON data and load it into a ListView.But personally, this tool can be used in all future implementations of similar functions.Projects can also use this architecture.This project is dealing with only one imgurl per news, and should be considered when the number of Imgurl is uncertain how to fix it.First, the project source code structure is as follows:Project DO

graphs, but the results can be further processed to obtain more detailed results. Each data also has an agent value, that is, the browser's user_agent information, through this information to know the operating system used,so the statistical results generated in the previous step can also be differentiated by operating system differences. Agent value: v. To distinguish a bar chart from an operating system (windows/non-Windows) Not all

Data Structure linked list _ single-chain table implementation and analysis, single-chain Data StructureSingle-chain table implementation and analysis The ListElmt struct represents a single element in the linked list (see example 1). This struct has two members: the data me

Python captures financial data, pandas performs data analysis and visualization series (to understand the needs), pythonpandasFinally, I hope that it is not the preface of the preface. It is equivalent to chatting and chatting. I think a lot of things are coming from the discussion. For example, if you need something, you can only communicate with yourself, only

Reprint: Learn to use yourselfA tool to learnPython languageRecommended to see Liaoche's Python3 tutorial.Data Analysis Python Basicssuch as List,tuple,dic,set and so on. My later blog will write.Two get dataPython crawlerRecommend a book: "Python Network data Collection" (Web scraping with Python) Ryan Mitchell wrote, very good. After reading this book + actual combat several times you are skilled. The cra

Before discussing this issue, it is necessary to understand the meaning of model-driven and data-driven two words. Exactly what is model driven. From the perspective of understanding the world, we understand the system, etiquette, morals and so on, basically can be understood as a model, through these models, we can clearly understand what is good, what is bad, what to do, what not to do. However, in the data