data analysis using sql and excel 2nd edition

The data query statement we are going to share today is union all, which is used to concatenate disjoint fields. In combination with the UNION ALL statement, we also need to define names for different regions . As defined in January, the name is JAN and February is defined as the Feb650) this.width=650; "style=" Float:none; "title=" 21.JPG "src=" http://s3.51cto.com/wyfs02/M01/6D/56/ Wkiom1vhy3aicd18aak_agr5kyq629.jpg "alt=" Wkiom1vhy3aicd18aak_agr5ky

minimum support and minimum rule probability. The setting of these parameters affects the prediction result set. Through the settings here, you can filter out some events with low support and low probability of occurrence, and dynamically adjust these values according to the needs of different business scenarios to achieve the mining results that meet our requirements. Any mining tool is just a tool. It will let us set some algorithm-related parameters. There are no technical suggestions for s

Tags: Excel; Sql;group byI want to share it with you today. Use GROUP BY in SQL statements to group statistics. Let's take a look at the data source first.650) this.width=650; "style=" Float:none; "title=" 11.JPG "src=" http://s3.51cto.com/wyfs02/M01/6E/F7/ Wkiom1wnbcdtuvusaaftxdlyr4i349.jpg "alt=" Wkiom1wnbcdtuvusaaft

Tags: excel; sql; like; fuzzy queryWhat this blog post wants to share with you is to use the LIKE operator to make a fuzzy match query data source commodity code contains numbers.650) this.width=650; "style=" Float:none; "title=" 1.JPG "src=" http://s3.51cto.com/wyfs02/M02/6E/51/ Wkiol1v5qmaqkgz2aag3bhfakh4068.jpg "alt=" Wkiol1v5qmaqkgz2aag3bhfakh4068.jpg "/>To c

= connection.cursor () Cursor.execute ( "" "Select Unix_timestamp (Date_format (CTime, "%%y-%%m-01")) *1000, COUNT (ID) from repository_trouble WHERE processer_id=%s GROUP by Date_format (CTime, "%%y-%%m") "" ", [Row.nid]) result = Cursor.fetchall () temp = { ' name ': Row.username, ' data ': Result } reponse.append (temp) import JSON return HttpResponse ( Json.dumps (repons

C # export the data displayed in the dataGridView to Excel (ultra-simplified edition) Using System; using System. collections. generic; using System. linq; using System. text;

Red Gate Series 4 SQL data compare 10.2.0.885 edition data comparison and synchronization Tool complete cracking + tutorial Red Gate SeriesArticle: SQL compare 10.2.0.1337 edition, one of the red gate series, database comparis

The Standard Edition and Enterprise Edition editions of SQL Server 2000 provide the complex retrieval feature of strings in table data-full-text searches ). This feature needs to be added through custom installation options during installation. 10.7.1 full-text index and Directory Full-text search is implemented

In actual development, we often encounter data conversion needs. We can transfer the data in Excel to SQL, or import the data in the database table into Excel.CodeAs follows:Using System;Using System. Collections. Generic;

In real-world development, we often encounter the need to transform data into SQL, or import SQL data from a database table into Excel. The code is as follows: codeusing system;using system.collections.generic;

Using system;using system.collections.generic;using system.linq;using system.text;using Microsoft.Office.Interop; Using microsoft.office.interop.excel;using system.windows.forms;