How to Separate Data in an Excel Column.pptx
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Excel is a great tool for storing, organizing, and tracking data. Sometimes the data comes in a way that needs to be cleaned up to be legible. This is a way to separate data in a column without having to do it manually.
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Using Excel to Do Data Journalism - Steve Doig - Seattle NewsTrain - 11.11.17
Using Excel to Do Data Journalism - Steve Doig - Seattle NewsTrain - 11.11.17News Leaders Association's NewsTrain
With screenshots, this handout walks the user through an introduction to Excel, including sorting, filtering, functions and pivot tables. It was prepared by Steve Doig, professor of journalism, specializing in data reporting, at the Walter Cronkite School of Journalism and Mass Communication at Arizona State University. He created it for Seattle NewsTrain on Nov. 11, 2017. It accompanies his presentation, Data-Driven Enterprise off Your Beat. NewsTrain is a training initiative of Associated Press Media Editors (APME). More info: http://bit.ly/NewsTrainSpss guidelines
The document provides an overview of a training on using SPSS. It is divided into three parts:
1) Introduction to SPSS, including background, objectives, and definitions.
2) Dealing with SPSS, covering getting started, key terms, creating a code book, and data entry.
3) Data management and analysis using SPSS, including exploratory, descriptive, and inferential analysis.
The training invites participants to properly learn how to use SPSS and makes time for questions.
8622380.ppt
This document provides instructions for performing a mail merge in Microsoft Word. It explains that mail merge allows combining a data set of recipients with a template letter. This removes the hassle of individually typing letters and allows inserting recipient details like names and addresses. The steps covered include selecting mail merge from the tools menu, choosing a starting document or template, selecting the recipient list from an existing file or database, inserting recipient fields into the template, previewing the merged letters, and printing the final merged documents.
Excel notes by satish kumar avunoori
This document provides an introduction and overview of key concepts in Microsoft Excel including worksheets, cells, formatting, formulas, functions, charts, and pivot tables. It explains how to create and manage worksheets, format cells, perform calculations with formulas and functions, create charts to visualize data, build pivot tables to summarize and filter data, and consolidate data across multiple worksheets. Examples and step-by-step instructions are provided for common Excel tasks like renaming sheets, merging cells, using arithmetic and logical operators in formulas, and linking worksheets to consolidate data.
DATA HANDLING FOR SPSS
Before conducting any statistical analysis one must have the data in tractable form for reliable and organized analysis. Whatever procedure used to do this is termed as “Data Handelling” and if we are working with SPSS then it is termed as “Data Mining”. Data mining is analysis step of knowledge Discovery in database or Data mining is an interdisciplinary subfield of computer engineering..Data Mining helps discovering of pattern in large datasets. The main moto of Data Mining is to extract information from a dataset and transform it into an knowledge that will helpful for further use. Beside from raw step analysis. In this paper Data Handling, is proposed for SPSS.
Tableau.pdf
The document provides an overview of the key components and terminology used in Tableau, including workbooks, sheets, dashboards, stories, containers, dimensions, measures, filters, parameters, groups, sets, hierarchies, actions, and shortcuts. It defines each component and provides examples. The summary also includes links to relevant tutorial videos to further explain concepts like building dashboards, using filters and parameters, creating groups and sets, and more.
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How to Separate Data in an Excel Column.pptx
- 1. You will need to find ‘Data’ in the menu bar on top.
- 2. Once you are in the data bar you will go to your data and highlight the column the data you want to separate is in. You can do this by clicking the letter at the top.
- 3. Once you have highlighted your column, find ‘Text to Column’ in the bar and click it
- 4. A box will pop up. Make sure you choose file type ‘Delimited’ then click ‘Next’.
- 5. You need to choose which ‘delimiter’ your data will be split by. Choose the one that your data inside the cells is separated by; tab, semicolon, comma, space, or other. If other type which in space. Click ‘Next’.
- 7. Your data will now be separated into different columns. To see this, go to the triangle next to ‘A’ and click. This will highlight the whole spreadsheet and all the data.
- 8. Once your data is highlighted click the line between ‘A’ and ‘B’. This will make your columns as long as the longest data inside making the separation easily visible.
- 9. Your data is now separated.