data analysis toolpak

The project is mainly aimed at the needs of chemical transfer, sales, receivables, procurement of three modules to carry out a comprehensive statistical analysis, the purpose is through the analysis of historical data, to find valuable information to assist leaders in decision-making, to give the salesman real-time reminders. This paper mainly analyzes the Receiv

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

DPC Usability Analysis and case study of Ali yun large data processing tools The cloud-collecting room (data Process Center, referred to as DPC) is a DW/BI tool solution based on Open Data processing services (ODPS). DPC provides a full link of easy-to-use data processing t

We know that the principal component analysis is a dimensionality reduction method, but it is essentially a matrix transformation process, the extracted principal component does not all have the actual meaning, and this meaning is often what we need, the next factor analysis can solve the problemFactor analysis can be regarded as the generalization of principal c

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