Excel for Journalists by Steve Doig
•Download as PPT, PDF•
2 likes•676 views
The document discusses how Excel can be used by journalists to analyze data and find patterns. It explains that data refers to information organized into columns and rows, with columns representing variables and rows representing records. It then provides examples of how Excel allows users to import, sort, filter, transform and summarize large datasets to help identify stories and patterns that may not be obvious otherwise. Functions, pivot tables and other Excel tools are highlighted as ways to analyze and visualize patterns in the data.
Report
Share
Report
Share
![What is “data”? ,[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Business Journalism Professors 2014: Excel for Journalists by Steve Doig
Business Journalism Professors 2014: Excel for Journalists by Steve DoigReynolds Center for Business Journalism
This document provides an overview of using Excel for data analysis as a journalist. It discusses what constitutes data in Excel, which is information organized into columns and rows. It then demonstrates how non-data can be transformed into data by structuring personal details into a table. The document outlines why Excel is useful for analyzing data, as it can handle large datasets and help users identify patterns. It also demonstrates some of Excel's core functions for working with data, including importing data from different formats, sorting, filtering, transforming data using formulas and functions, and summarizing data into categories using pivot tables.Precision Journalism by Steve Doig
These slides are by Steve Doig, journalism professor at ASU's Cronkite School and Pulitzer-winning journalist. The slides are from Doig's workshop Excel for Journalists, part of the School of Data Journalism 2013 at the International Journalism Festival, Perugia.
Microsoft Access
Microsoft Access is a database management system that allows users to create and manage databases to store and organize information. It contains different objects like tables, queries, forms and reports. Tables store data in rows and columns and can be related to each other. Queries allow users to filter and sort data. Forms provide interfaces for data entry and views. Reports generate printable views of data.
Using spreadsheets in the classroom
There are many educational uses of spreadsheets that encourage higher-order thinking and help visual learners. And, they are useful in a variety of subject areas in addition to mathematics.
Csis110 trzos-c1 ms access
This document provides an overview of key concepts in Chapter 1 and 2 of an MS Access textbook. It defines databases, entities, attributes, and relationships. It explains how data is organized in relational databases using fields, records, primary keys, and foreign keys. It also defines database management systems (DBMS) and their capabilities including data definition, querying, reporting and object-oriented databases. General guidelines for database design are provided. The document concludes by discussing queries in MS Access, including design view queries, wildcards, parameters, criteria, joins, calculations and crosstab queries.
What is a spreadsheet
This document provides an introduction to creating and using spreadsheets in the classroom. It defines what a spreadsheet is, including rows, columns, cells and formulas. It discusses Microsoft Excel as the dominant spreadsheet application and includes a sample classroom spreadsheet analyzing student data. It also lists resources and example classroom projects using spreadsheets and outlines next steps to download sample spreadsheets and complete a U.S. Census assignment.
Application of excel and spss programme in statistical
This slide includes information about application of EXCEL and SPSS programme in statistical analysis in biostatistics.
Tutorial of microsoft excel 2007
This document provides a tutorial on using Microsoft Excel 2007. It begins by explaining how to open Excel 2007 from the Windows start menu. It then describes the main components of the Excel interface, including the menu bar along the top containing File, Home, Insert, Page Layout, Formulas, Data, Review and View menus. Each menu is briefly explained, such as the File menu containing options for saving, opening, printing and getting help. The document also provides instructions for making a table, entering data into the table, and using formulas to calculate totals.
Recommended
Business Journalism Professors 2014: Excel for Journalists by Steve Doig
Business Journalism Professors 2014: Excel for Journalists by Steve DoigReynolds Center for Business Journalism
This document provides an overview of using Excel for data analysis as a journalist. It discusses what constitutes data in Excel, which is information organized into columns and rows. It then demonstrates how non-data can be transformed into data by structuring personal details into a table. The document outlines why Excel is useful for analyzing data, as it can handle large datasets and help users identify patterns. It also demonstrates some of Excel's core functions for working with data, including importing data from different formats, sorting, filtering, transforming data using formulas and functions, and summarizing data into categories using pivot tables.Precision Journalism by Steve Doig
These slides are by Steve Doig, journalism professor at ASU's Cronkite School and Pulitzer-winning journalist. The slides are from Doig's workshop Excel for Journalists, part of the School of Data Journalism 2013 at the International Journalism Festival, Perugia.
Microsoft Access
Microsoft Access is a database management system that allows users to create and manage databases to store and organize information. It contains different objects like tables, queries, forms and reports. Tables store data in rows and columns and can be related to each other. Queries allow users to filter and sort data. Forms provide interfaces for data entry and views. Reports generate printable views of data.
Using spreadsheets in the classroom
There are many educational uses of spreadsheets that encourage higher-order thinking and help visual learners. And, they are useful in a variety of subject areas in addition to mathematics.
Csis110 trzos-c1 ms access
This document provides an overview of key concepts in Chapter 1 and 2 of an MS Access textbook. It defines databases, entities, attributes, and relationships. It explains how data is organized in relational databases using fields, records, primary keys, and foreign keys. It also defines database management systems (DBMS) and their capabilities including data definition, querying, reporting and object-oriented databases. General guidelines for database design are provided. The document concludes by discussing queries in MS Access, including design view queries, wildcards, parameters, criteria, joins, calculations and crosstab queries.
What is a spreadsheet
This document provides an introduction to creating and using spreadsheets in the classroom. It defines what a spreadsheet is, including rows, columns, cells and formulas. It discusses Microsoft Excel as the dominant spreadsheet application and includes a sample classroom spreadsheet analyzing student data. It also lists resources and example classroom projects using spreadsheets and outlines next steps to download sample spreadsheets and complete a U.S. Census assignment.
Application of excel and spss programme in statistical
This slide includes information about application of EXCEL and SPSS programme in statistical analysis in biostatistics.
Tutorial of microsoft excel 2007
This document provides a tutorial on using Microsoft Excel 2007. It begins by explaining how to open Excel 2007 from the Windows start menu. It then describes the main components of the Excel interface, including the menu bar along the top containing File, Home, Insert, Page Layout, Formulas, Data, Review and View menus. Each menu is briefly explained, such as the File menu containing options for saving, opening, printing and getting help. The document also provides instructions for making a table, entering data into the table, and using formulas to calculate totals.
Indexes
Indexes help to select and find records efficiently. There are two main types: clustered indexes which determine the physical order of data in a table, and non-clustered indexes which are maintained separately. Index organization involves data being stored in pages that can split when full, and fill factor determines the percentage of each page initially used for data storage. Good indexes have low maintenance columns with infrequent changes and cover commonly used query conditions, while poor indexes involve unused columns or those returning many rows. Unique constraints and indexes validate data uniqueness in the same way.
Database Indexes
The document discusses indexes in relational database management systems (RDBMS). It explains that RDBMS store data in tree structures, with tables themselves being clustered indexes. Indexes allow faster searching by storing a copy of selected table data organized by key values. A clustered index physically stores data rows in order of the index keys, while a non-clustered index contains keys and pointers to the actual data rows in the clustered index. The document provides examples of how different types of indexes are constructed and used to satisfy database queries.
Working with SPSS
SPSS is a widely used statistical analysis program. It was originally developed in 1968 by Norman Nie and C. Hadlai Hull to analyze social science data. SPSS was later acquired by IBM in 2009. The main windows in SPSS are the Data Editor, Output Viewer, Chart Editor, and Syntax Editor. It has menus for File, Edit, View, Data, Transform, Analyze, Graphs, Utilities, and Help. SPSS allows users to manage data files, transform variables, summarize data graphically and numerically, and perform inferential statistics.
SQL_Part1
This document provides an overview of SQL and how business analysts use it. It begins by explaining why BAs use SQL for tasks like ad hoc reporting, requirements gathering, and research. It then defines SQL as the standard language for querying and extracting data from relational databases. The document discusses the differences between data and information, using Lego demos to illustrate. It covers the basic parts of a SELECT query like the SELECT, FROM, WHERE, and ORDER BY clauses. Finally, it briefly introduces different types of SQL joins that allow querying multiple tables.
Introduction to MS Excel
Basic Excel training: the training discussed the main components of excel, numeric functions and how to run arithmetic calculations in excel, date functions, text functions, boolean functions, pivot tables, and charts.
'Spreadsheet'
Spreadsheet software is very versatile and can be used for both very simple and very complete tasks.
Foundations of Data Analytics
This document provides an overview of relational databases and how to query data using Eduphoria. It discusses that a relational database consists of tables that store sets of data. Relational databases allow users to upload data and query it. Querying can be done through writing SQL or R code, or using a graphical user interface. The document emphasizes thinking in terms of rows and columns when querying and provides examples of how to choose rows and columns through the Eduphoria wizard. It also covers exporting and analyzing data from Eduphoria.
Lesson 14
This document provides an overview and agenda for a Microsoft Excel lesson. It will cover navigating and understanding the basic elements of a spreadsheet, including entering and editing data in cells. Specific topics to be covered include worksheet navigation, the structure of rows and columns, cell addresses, and using basic keyboard shortcuts. Students will complete short exercises to test their understanding and submit their work electronically without printing.
Microsoft excel
This document provides an introduction and overview of Microsoft Excel 2013. It discusses the main tabs in Excel including Home, Insert, Page Layout, Formulas, Data, Review and View. It describes the structure of Excel workbooks and worksheets. It then focuses on the Home tab, outlining the various groups within the tab such as Clipboard, Font, Alignment, Number, Styles, Cells and Editing. Specific formatting and functions within each group are listed. The document concludes with requesting any questions.
Access 4 U
Access is a database program that can handle large amounts of data through tables, queries, forms, and reports. It allows users to create customized interfaces to enter and view information using tools like tables, queries, forms, and reports. Access provides pre-made templates for these objects but also allows customization in Design View to fit any information management needs.
Structure of a manuscript: Day 4 article_writing_note
The document provides guidance on presenting results in research papers. It discusses that the results section should:
1) Summarize the key findings from the study in a clear and concise manner without interpreting the results or providing unnecessary details.
2) Present results objectively using tables, figures and plain language while highlighting important findings.
3) Describe results in the past tense and follow best practices for displaying data through appropriate use of tables and figures.
Introductionto excel2007
This document provides an introduction to Microsoft Excel 2007, outlining the tools, skills, and functions covered in the online class. The summary includes:
1. The class will cover the basics of Excel including entering and editing data, formatting cells, copying and pasting, and basic formulas. Students will learn the new features in Excel 2007 like the ribbon interface.
2. Excel is used to perform calculations and analyze data through tools for organizing, sorting, and presenting information in tables and charts. Examples of its uses include personal finance, timesheets, and statistics.
3. Students will practice skills like resizing columns, using autofill, and getting help within Excel to understand its core capabilities for working with
Entities and attributes
Entities represent people, objects, or abstract concepts and have attributes that describe examples of the entity. Notation defines the entity name in capital letters and attributes in brackets. Entities and attributes are part of data modeling, where entities become database tables and attributes become fields during implementation. Examples provided include a PUPIL entity with attributes like name and DOB, a CAR entity with attributes like make and model, and a DOCTOR APPOINTMENT entity with date and time attributes.
Ms excel AND EXCEL CHARTS
This document provides an overview of MS Excel and its features:
- MS Excel is a commonly used spreadsheet program for storing and analyzing numerical data in an organized manner. Data can be easily filtered, recovered, and manipulated using mathematical formulas.
- Excel allows for easy visualization of data through tables and various chart types like column, line, pie, and bar charts. Chart elements, styles, and colors can be customized.
- Key features include unlimited data storage, password protection, and the ability to perform calculations using functions like SUM.
Intro to Excel
This document provides an overview of Microsoft Excel, including how to navigate worksheets, enter data, select cells and ranges, use formulas, and fill cells. The key points covered are navigating within and between worksheets, entering text, values, and formulas, selecting cells by clicking and dragging or using keyboard shortcuts, copying and pasting formulas, and using the fill handle to efficiently copy cell contents across a range. Functions for financial, logical, and date calculations are also mentioned.
Spreadsheet
The document discusses spreadsheets and Microsoft Excel. It defines a spreadsheet as a configuration of rows and columns, also known as a worksheet. Spreadsheets are used to calculate and compare numerical or financial data. Microsoft Excel, part of the Microsoft Office suite, allows users to understand and work with spreadsheets. The document reviews the history and features of different Excel versions. It provides an overview of basic spreadsheet concepts such as workbooks, worksheets, cells, and cell references. It also reviews keyboard shortcuts for navigating within a spreadsheet.
Cis145 Final Review
The document provides information about the CIS145 final exam, including that it is open book and covers databases, tables, queries, forms, and reports. Key points include:
- The exam consists of true-false, multiple choice, fill-in, and short answer questions worth a total of 100 points.
- Databases organize related information into collections and Access uses objects like tables, queries, forms and reports to manage data.
- Tables contain records and fields to store individual data elements, and a primary key uniquely identifies each record.
- Relationships between tables must match field data types and primary keys are used to link tables in queries and forms.
Chap 1 of 5. Microsoft Excel for absolute beginners - Getting started with Excel
This document provides an introduction to Microsoft Excel for absolute beginners. It discusses key Excel concepts like workbooks, spreadsheets, the ribbon, data entry, and saving workbooks. A workbook contains one or more spreadsheets to organize data. Each spreadsheet has rows and columns that form a grid of cells where data is entered. The ribbon displays tabs for accessing different commands to work with spreadsheets. Data of various types can easily be added to cells by double clicking and entering information. It is important to save workbooks using the Ctrl + S shortcut or the File menu to preserve changes made in Excel.
How Not to Be Bamboozled by Local Economic Studies - Day Two
Sarah Cohen presents Day Two of "How Not to Be Bamboozled by Local Economic Studies," a free, two-day webinar hosted by the Donald W. Reynolds National Center for Business Journalism.
For more information about free training for business journalists, please visit businessjournalism.org.
Highlighting Local Businesses - Kollath (Kentucky)
This document discusses strategies for highlighting local businesses in a business blog and newspaper. It recommends posting about new signage, buildings, ribbon cuttings, open houses, and profiling local businesses with questions about ownership, hours, employees, history, contact information, and advice. The goal is to promote local businesses and economic development through coverage of new developments and businesses in the community.
Breaking Local Stories with Census Data by Paul Overberg
USA Today's Paul Overberg presents "Breaking Local Stories with Census Data," part of the free business journalism workshop, "Breaking Local Stories with Economic Data," hosted by the Donald W. Reynolds National Center for Business Journalism and the Society of American Business Editors and Writers.
This presentation focuses on the D.C. region, however the tools and resources provided can be applied anywhere in the United States.
For more information about free training for business journalists, please visit businessjournalism.org.
Unlocking Financial Statements - Day 5
Jimmy Gentry presents "Unlocking Financial Statements - Day 5," a business journalism Webinar for the Donald W. Reynolds National Center for Business Journalism.
To learn more about free training for business journalists, please visit businessjournalism.org.
More Related Content
What's hot
Indexes
Indexes help to select and find records efficiently. There are two main types: clustered indexes which determine the physical order of data in a table, and non-clustered indexes which are maintained separately. Index organization involves data being stored in pages that can split when full, and fill factor determines the percentage of each page initially used for data storage. Good indexes have low maintenance columns with infrequent changes and cover commonly used query conditions, while poor indexes involve unused columns or those returning many rows. Unique constraints and indexes validate data uniqueness in the same way.
Database Indexes
The document discusses indexes in relational database management systems (RDBMS). It explains that RDBMS store data in tree structures, with tables themselves being clustered indexes. Indexes allow faster searching by storing a copy of selected table data organized by key values. A clustered index physically stores data rows in order of the index keys, while a non-clustered index contains keys and pointers to the actual data rows in the clustered index. The document provides examples of how different types of indexes are constructed and used to satisfy database queries.
Working with SPSS
SPSS is a widely used statistical analysis program. It was originally developed in 1968 by Norman Nie and C. Hadlai Hull to analyze social science data. SPSS was later acquired by IBM in 2009. The main windows in SPSS are the Data Editor, Output Viewer, Chart Editor, and Syntax Editor. It has menus for File, Edit, View, Data, Transform, Analyze, Graphs, Utilities, and Help. SPSS allows users to manage data files, transform variables, summarize data graphically and numerically, and perform inferential statistics.
SQL_Part1
This document provides an overview of SQL and how business analysts use it. It begins by explaining why BAs use SQL for tasks like ad hoc reporting, requirements gathering, and research. It then defines SQL as the standard language for querying and extracting data from relational databases. The document discusses the differences between data and information, using Lego demos to illustrate. It covers the basic parts of a SELECT query like the SELECT, FROM, WHERE, and ORDER BY clauses. Finally, it briefly introduces different types of SQL joins that allow querying multiple tables.
Introduction to MS Excel
Basic Excel training: the training discussed the main components of excel, numeric functions and how to run arithmetic calculations in excel, date functions, text functions, boolean functions, pivot tables, and charts.
'Spreadsheet'
Spreadsheet software is very versatile and can be used for both very simple and very complete tasks.
Foundations of Data Analytics
This document provides an overview of relational databases and how to query data using Eduphoria. It discusses that a relational database consists of tables that store sets of data. Relational databases allow users to upload data and query it. Querying can be done through writing SQL or R code, or using a graphical user interface. The document emphasizes thinking in terms of rows and columns when querying and provides examples of how to choose rows and columns through the Eduphoria wizard. It also covers exporting and analyzing data from Eduphoria.
Lesson 14
This document provides an overview and agenda for a Microsoft Excel lesson. It will cover navigating and understanding the basic elements of a spreadsheet, including entering and editing data in cells. Specific topics to be covered include worksheet navigation, the structure of rows and columns, cell addresses, and using basic keyboard shortcuts. Students will complete short exercises to test their understanding and submit their work electronically without printing.
Microsoft excel
This document provides an introduction and overview of Microsoft Excel 2013. It discusses the main tabs in Excel including Home, Insert, Page Layout, Formulas, Data, Review and View. It describes the structure of Excel workbooks and worksheets. It then focuses on the Home tab, outlining the various groups within the tab such as Clipboard, Font, Alignment, Number, Styles, Cells and Editing. Specific formatting and functions within each group are listed. The document concludes with requesting any questions.
Access 4 U
Access is a database program that can handle large amounts of data through tables, queries, forms, and reports. It allows users to create customized interfaces to enter and view information using tools like tables, queries, forms, and reports. Access provides pre-made templates for these objects but also allows customization in Design View to fit any information management needs.
Structure of a manuscript: Day 4 article_writing_note
The document provides guidance on presenting results in research papers. It discusses that the results section should:
1) Summarize the key findings from the study in a clear and concise manner without interpreting the results or providing unnecessary details.
2) Present results objectively using tables, figures and plain language while highlighting important findings.
3) Describe results in the past tense and follow best practices for displaying data through appropriate use of tables and figures.
Introductionto excel2007
This document provides an introduction to Microsoft Excel 2007, outlining the tools, skills, and functions covered in the online class. The summary includes:
1. The class will cover the basics of Excel including entering and editing data, formatting cells, copying and pasting, and basic formulas. Students will learn the new features in Excel 2007 like the ribbon interface.
2. Excel is used to perform calculations and analyze data through tools for organizing, sorting, and presenting information in tables and charts. Examples of its uses include personal finance, timesheets, and statistics.
3. Students will practice skills like resizing columns, using autofill, and getting help within Excel to understand its core capabilities for working with
Entities and attributes
Entities represent people, objects, or abstract concepts and have attributes that describe examples of the entity. Notation defines the entity name in capital letters and attributes in brackets. Entities and attributes are part of data modeling, where entities become database tables and attributes become fields during implementation. Examples provided include a PUPIL entity with attributes like name and DOB, a CAR entity with attributes like make and model, and a DOCTOR APPOINTMENT entity with date and time attributes.
Ms excel AND EXCEL CHARTS
This document provides an overview of MS Excel and its features:
- MS Excel is a commonly used spreadsheet program for storing and analyzing numerical data in an organized manner. Data can be easily filtered, recovered, and manipulated using mathematical formulas.
- Excel allows for easy visualization of data through tables and various chart types like column, line, pie, and bar charts. Chart elements, styles, and colors can be customized.
- Key features include unlimited data storage, password protection, and the ability to perform calculations using functions like SUM.
Intro to Excel
This document provides an overview of Microsoft Excel, including how to navigate worksheets, enter data, select cells and ranges, use formulas, and fill cells. The key points covered are navigating within and between worksheets, entering text, values, and formulas, selecting cells by clicking and dragging or using keyboard shortcuts, copying and pasting formulas, and using the fill handle to efficiently copy cell contents across a range. Functions for financial, logical, and date calculations are also mentioned.
Spreadsheet
The document discusses spreadsheets and Microsoft Excel. It defines a spreadsheet as a configuration of rows and columns, also known as a worksheet. Spreadsheets are used to calculate and compare numerical or financial data. Microsoft Excel, part of the Microsoft Office suite, allows users to understand and work with spreadsheets. The document reviews the history and features of different Excel versions. It provides an overview of basic spreadsheet concepts such as workbooks, worksheets, cells, and cell references. It also reviews keyboard shortcuts for navigating within a spreadsheet.
Cis145 Final Review
The document provides information about the CIS145 final exam, including that it is open book and covers databases, tables, queries, forms, and reports. Key points include:
- The exam consists of true-false, multiple choice, fill-in, and short answer questions worth a total of 100 points.
- Databases organize related information into collections and Access uses objects like tables, queries, forms and reports to manage data.
- Tables contain records and fields to store individual data elements, and a primary key uniquely identifies each record.
- Relationships between tables must match field data types and primary keys are used to link tables in queries and forms.
Chap 1 of 5. Microsoft Excel for absolute beginners - Getting started with Excel
This document provides an introduction to Microsoft Excel for absolute beginners. It discusses key Excel concepts like workbooks, spreadsheets, the ribbon, data entry, and saving workbooks. A workbook contains one or more spreadsheets to organize data. Each spreadsheet has rows and columns that form a grid of cells where data is entered. The ribbon displays tabs for accessing different commands to work with spreadsheets. Data of various types can easily be added to cells by double clicking and entering information. It is important to save workbooks using the Ctrl + S shortcut or the File menu to preserve changes made in Excel.
What's hot (18)
Structure of a manuscript: Day 4 article_writing_note
Structure of a manuscript: Day 4 article_writing_note
Chap 1 of 5. Microsoft Excel for absolute beginners - Getting started with Excel
Chap 1 of 5. Microsoft Excel for absolute beginners - Getting started with Excel
Viewers also liked
How Not to Be Bamboozled by Local Economic Studies - Day Two
Sarah Cohen presents Day Two of "How Not to Be Bamboozled by Local Economic Studies," a free, two-day webinar hosted by the Donald W. Reynolds National Center for Business Journalism.
For more information about free training for business journalists, please visit businessjournalism.org.
Highlighting Local Businesses - Kollath (Kentucky)
This document discusses strategies for highlighting local businesses in a business blog and newspaper. It recommends posting about new signage, buildings, ribbon cuttings, open houses, and profiling local businesses with questions about ownership, hours, employees, history, contact information, and advice. The goal is to promote local businesses and economic development through coverage of new developments and businesses in the community.
Breaking Local Stories with Census Data by Paul Overberg
USA Today's Paul Overberg presents "Breaking Local Stories with Census Data," part of the free business journalism workshop, "Breaking Local Stories with Economic Data," hosted by the Donald W. Reynolds National Center for Business Journalism and the Society of American Business Editors and Writers.
This presentation focuses on the D.C. region, however the tools and resources provided can be applied anywhere in the United States.
For more information about free training for business journalists, please visit businessjournalism.org.
Unlocking Financial Statements - Day 5
Jimmy Gentry presents "Unlocking Financial Statements - Day 5," a business journalism Webinar for the Donald W. Reynolds National Center for Business Journalism.
To learn more about free training for business journalists, please visit businessjournalism.org.
SEC Filings by Jimmy Gentry
The document discusses the role and history of the Securities and Exchange Commission (SEC). It was created in 1929 after the stock market crash to restore confidence in markets. The SEC aims to protect investors, maintain fair and orderly markets, and facilitate capital formation. It requires certain companies to file annual and periodic financial reports to provide transparency to investors. The document outlines various forms such as 10-K, 8-K, 10-Q that are filed with the SEC to disclose important company information.
Understanding Markets by Jimmy Gentry
Jimmy Gentry presents "Understanding Markets" during the annual 2012 Reynolds Business Journalism Seminars, hosted by the Donald W. Reynolds National Center for Business Journalism. For more information about free training for business journalists, please visit businessjoutnalism.org.
Viewers also liked (6)
How Not to Be Bamboozled by Local Economic Studies - Day Two
How Not to Be Bamboozled by Local Economic Studies - Day Two
Highlighting Local Businesses - Kollath (Kentucky)
Highlighting Local Businesses - Kollath (Kentucky)
Breaking Local Stories with Census Data by Paul Overberg
Breaking Local Stories with Census Data by Paul Overberg
Similar to Excel for Journalists by Steve Doig
Database notes ICTL
This document provides an overview of databases and Microsoft Access 2007. It defines a database as a collection of organized information with a common purpose, such as a list of employees or contacts. Access 2007 is a database management system that allows users to store, manage, analyze, and publish data from a database. Examples of applications that use databases are systems for exam analysis, discipline records, Facebook, Yahoo, and Gmail. The document outlines the main components of the Access interface and database objects like tables, forms, queries, and reports. It also defines the different data types that can be used in a database like text, numbers, dates, currency, and hyperlinks.
Survey data & sampling
The document discusses various concepts related to data, including definitions of key terms like data, data items, observations, and datasets. It also describes different types of data such as qualitative vs quantitative, discrete vs continuous, univariate vs bivariate/multivariate, and primary vs secondary data. Additionally, it covers topics like data collection, analysis and representation, sampling, and different sampling techniques like simple random sampling and systematic sampling.
1- Introduction.pptx.pdf
The document introduces data structures and algorithms. It discusses that data structures include arrays, linked lists, stacks, queues, trees and graphs which can be used to organize data efficiently. It also explains that algorithms use these data structures to solve problems. The choice of data structure impacts an algorithm's time and space efficiency. Common operations on data structures like traversal, search, insertion and deletion are also introduced. Examples of different data structures and algorithms like linear search, binary search and hashing are provided to illustrate time-space tradeoffs.
Database fundamentals
The document discusses databases, including what they are, how they are organized, and common examples. It explains that a database is an organized collection of related information and a database management system allows users to create, edit, and retrieve data. Popular databases mentioned include Netflix, cell phone contacts, medical records, and school records. The document outlines the basic components of a database like entries, fields, and records. It also describes common operations with databases like sorting, searching, filtering and generating reports.
Excel Training
This document outlines a training overview for a Microsoft Excel extended introduction course. The course consists of 6 classes covering topics like terminology, navigation, formatting, functions, macros, importing data, and charts. Each class is scheduled for a different date and includes the topics that will be covered, such as formatting, sorting, filtering, and different types of functions like date, logical, and statistical functions.
Finding statistics2
This document provides strategies and resources for finding statistics and data for research. It discusses the differences between data and statistics, and examples of types of statistics such as point-in-time measurements, time series, and geographic areas. Sources of statistics mentioned include static tables, databases, and poll data from organizations like Gallup. The document recommends strategies like searching indexes, statistics databases, and library guides, as well as mining the references of relevant secondary sources.
Database
A database is an organized collection of related information stored electronically in a computer system. It consists of records, files and fields. Records contain fields, which are individual pieces of information. Databases are useful for organizing, sorting, analyzing and finding information efficiently. Common examples of databases include student records, library catalogs, phone books and more. When designing a database, the goals, types of information, field names and consistency should be determined.
access1.ppt
The document provides an introduction to Microsoft Access and describes its main components and functions. It explains that an Access database contains tables which organize data into fields and records. The four main components of an Access database are tables, forms, queries, and reports. Tables store the raw data, forms provide a user interface to view and enter table data, queries search and filter table data, and reports format table data for printing. The document also provides step-by-step instructions for creating an empty Access database and sample table.
Database Project
This document provides an overview of databases and the features of Microsoft Access. It defines what a database is as an organized collection of related information. It then lists common uses of databases by schools, doctors, libraries, shops, police, and coaches to keep records. The document proceeds to describe key Microsoft Access features like fields, records, filters, sorting, and views. It provides examples of how databases are used and guidance on using Access to create, design, enter data into, and generate reports from a database.
Exploring Data
This document discusses exploratory data analysis techniques including summary statistics, visualization methods, and online analytical processing (OLAP). It provides examples using the Iris dataset to illustrate histogram, box plot, scatter plot, contour plot, matrix plot, parallel coordinates, and OLAP cube and slicing/dicing operations. The goal of exploratory data analysis is to better understand data characteristics through pattern recognition and selecting appropriate tools for preprocessing and analysis.
Exploring Data
This document discusses exploratory data analysis techniques including summary statistics, visualization methods, and online analytical processing (OLAP). It provides examples using the Iris data set to illustrate histogram, box plot, scatter plot, contour plot, matrix plot, parallel coordinates, and OLAP cube and slicing/dicing operations. The goal of exploratory data analysis is to better understand data characteristics through pattern recognition and selecting appropriate tools for preprocessing and analysis.
Introduction to Database Concepts
The document introduces basic concepts about using databases and SQL for campaigns including:
- Databases store related data in tables that can be queried using SQL statements like SELECT to retrieve and JOIN to combine data from multiple tables.
- Common database terms include tables, records, fields, primary keys, and SQL statements like SELECT, UPDATE, DELETE, and INSERT.
- The document provides examples of basic SELECT queries and directs readers to resources for installing a SQL client and learning more about SQL.
Data Analysis in Research: Descriptive Statistics & Normality
This document discusses different types of data and data analysis techniques used in research. It defines data as any set of characters gathered for analysis. Research data can take many forms including documents, laboratory notes, questionnaires, and digital outputs. There are two main types of data: quantitative data which can be measured numerically, and qualitative data involving words and symbols. Common quantitative analysis techniques described are descriptive statistics to summarize variables and inferential statistics to understand relationships. Qualitative analysis techniques include content analysis, narrative analysis and grounded theory.
Business Research Methods. search strategies for online databases
By Dr. Muhammad Ramzan mramzaninfo@gmail.com, 03004487844
Edited by Ahsan Khan Eco ahsankhaneco@yahoo.com
03008046243
Lecture10 ie321 dr_atifshahzad
This document discusses a lecture on databases that covers:
- The components of a database including tables, queries, forms, and modules
- Key aspects of tables such as fields, records, data types, and primary/foreign keys
- The difference between flat-file and relational databases and how relationships are defined in a relational database
- Additional topics covered include ER diagrams, viewing and sorting records, querying databases using SQL, and generating reports
Uses of MS Access in Business
MS Access is a relational database management system used to create and manage databases. It allows users to define, create, store, manage and manipulate data in a structured manner using tables, queries, forms, reports, macros and modules. Some key business uses of MS Access include compiling business information into databases, building relationships between different data tables, creating queries to extract specific data, and generating reports. Access provides tools to design user-friendly interfaces for entering, viewing and managing business data.
Data Mining Exploring DataLecture Notes for Chapter 3
This document provides an overview of data exploration techniques discussed in the book Introduction to Data Mining by Tan, Steinbach, and Kumar. It discusses key motivations for data exploration such as understanding data characteristics and selecting appropriate analysis tools. Common exploratory techniques include summary statistics, visualization, and OLAP. Visualization techniques covered include histograms, box plots, scatter plots, and parallel coordinates. OLAP operations like slicing, dicing, roll-up and drill-down on multidimensional data cubes are also described. Examples use the Iris dataset to illustrate various techniques.
Overview spss instructor
SPSS is a statistical software package used for data management and analysis. It allows users to enter and manipulate data, conduct a wide range of statistical analyses, and generate graphs. SPSS files come in three types: .SAV files contain the data, .SPO files contain output, and .SPS files contain syntax. The data editor interface allows users to view, enter, edit, and sort data. It also enables data manipulation through functions like computing new variables and recoding existing ones. SPSS can be used to produce basic descriptive statistics, frequencies, cross-tabulations, and more advanced analyses like correlations, t-tests, regression and ANOVA. Syntax files allow users to save and re-run analyses.
Overview spss student
SPSS is a statistical software package used for data management and analysis. It allows users to enter and manipulate data, conduct a wide range of statistical analyses, and generate graphs. SPSS files come in three types: .SAV files contain the data, .SPO files contain output, and .SPS files contain syntax. The data editor interface allows users to view, enter, edit, and sort data. It also enables data manipulation through functions like computing new variables and recoding existing ones. SPSS can be used to produce basic descriptive statistics, frequencies, cross-tabulations, and more advanced analyses like correlations, t-tests, regression and ANOVA. Syntax files allow users to save and re-run analyses.
Pivot tables on Google Sheets - Dylan Tiger - Illinois NewsTrain 4.01.22
Pivot tables on Google Sheets - Dylan Tiger - Illinois NewsTrain 4.01.22News Leaders Association's NewsTrain
This handout accompanies a session at Illinois NewsTrain -- Developing a data mindset to improve stories every day -- taught by Brant Houston on April 1, 2022. Houston is the Knight Chair in Investigative Reporting at the University of Illinois, where he oversees an online newsroom, CU-CitizenAccess.org. For more info on the News Leaders Association's NewsTrain, see https://www.newsleaders.org/newstrain.Similar to Excel for Journalists by Steve Doig (20)
Data Analysis in Research: Descriptive Statistics & Normality
Data Analysis in Research: Descriptive Statistics & Normality
Business Research Methods. search strategies for online databases
Business Research Methods. search strategies for online databases
Data Mining Exploring DataLecture Notes for Chapter 3
Data Mining Exploring DataLecture Notes for Chapter 3
Pivot tables on Google Sheets - Dylan Tiger - Illinois NewsTrain 4.01.22
Pivot tables on Google Sheets - Dylan Tiger - Illinois NewsTrain 4.01.22
More from Reynolds Center for Business Journalism
Ire 2016 reynolds talk steve doig
Data journalist Steve Doig, the Knight Chair at Arizona State University’s Walter Cronkite School of Journalism and Mass Communication, demonstrates 10 data sources you may never have heard of that can lend rich context to your business and economic stories and spark meaningful investigations.
“10 Databases You Can Use Today” by Steve Doig and Evan Wyloge
“10 Databases You Can Use Today” by Steve Doig and Evan WylogeReynolds Center for Business Journalism
This document provides an overview of more than 10 databases that can be used for reporting. It describes databases from the Bureau of Economic Analysis that provide in-depth industry and geographic analysis of key economic metrics. It also discusses the Longitudinal Employer-Household Dynamics database, which combines federal, state and Census Bureau data to provide more granular employment data. Additionally, it mentions other potential sources of data like corporate filings, registration and licensing records, and political influence databases that each state maintains differently.“The Numbers in Sports” by Dash Davidson
Dash Davidson's presentation discusses how numbers and data analytics are being used in sports. The presentation covers how sports reporters are using the free data visualization tool Tableau Public to create interactive visualizations for articles, and how pro sports teams are leveraging Tableau's business intelligence platform more broadly. Davidson then demonstrates how to use Tableau Public by creating and sharing an interactive data visualization.
“The Numbers in Sports” by Brett Kurland
The document summarizes key information about the size and growth of the North American sports market in 2014 and projections for 2019. It also notes that to be a good sports business reporter requires skills in investigative reporting, government and politics reporting, medical reporting, and legal reporting. The document concludes by listing panelists for an event including the director of a sports news program, the CEO of a baseball research organization, a sports reporter, and a sports data analyst.
“Using Census Data in Your Stories” by Brandon Quester and Evan Wyloge
“Using Census Data in Your Stories” by Brandon Quester and Evan WylogeReynolds Center for Business Journalism
“Using Census Data in Your Stories” presentation from Reynolds Week 2016 by Brandon Quester and Evan Wyloge“The Business of Pot” by Ricardo Baca and Kevin Dale
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
“Developing an Effective Business Journalism Syllabus - Leverage! Using Exist...
“Developing an Effective Business Journalism Syllabus - Leverage! Using Exist...Reynolds Center for Business Journalism
“Developing an Effective Business Journalism Syllabus - Leverage! Using Existing Resources to Create a Killer Course" from Reynolds Business Journalism Week 2016 by Keith Herndon“Developing an Effective Business Journalism Syllabus - Building the Syllabus...
“Developing an Effective Business Journalism Syllabus - Building the Syllabus...Reynolds Center for Business Journalism
“Developing an Effective Business Journalism Syllabus - Building the Syllabus" from Reynolds Business Journalism Week 2016 by Andrew Cassel“Marketing Your Work and Engaging Your Audience - Marketing Your Work” by Eli...
“Marketing Your Work and Engaging Your Audience - Marketing Your Work” by Eli...Reynolds Center for Business Journalism
“Marketing Your Work and Engaging Your Audience - Marketing Your Work” from Reynolds Business Journalism Week 2016 by Elizabeth Mays“Marketing Your Work and Engaging Your Audience - Engaging Audiences to Promo...
“Marketing Your Work and Engaging Your Audience - Engaging Audiences to Promo...Reynolds Center for Business Journalism
“Marketing Your Work and Engaging Your Audience - Engaging Audiences to Promote Your Work” from Reynolds Business Journalism Week 2016 by Rebecca Blatt“Marketing Your Work and Engaging Your Audience - Social Media Strategy and A...
“Marketing Your Work and Engaging Your Audience - Social Media Strategy and A...Reynolds Center for Business Journalism
“Marketing Your Work and Engaging Your Audience - Social Media Strategy and Analytics” from Reynolds Business Journalism Week 2016 by Megan Calcote“Teaching Business Journalism - Finding Your Audience" by Randy Smith
“Teaching Business Journalism - Finding Your Audience" by Randy SmithReynolds Center for Business Journalism
The document provides tips for finding an audience and engaging students as a faculty leader. It suggests surveying the student landscape, talking to different student groups and classes, using social media, celebrating students through special events, recruiting guest speakers, offering field trips and summer jobs, and putting together a plan that provides structure but is also flexible. The overall goal is to build connections, tell great stories, and have fun engaging students.“Teaching Business Journalism - Organizing Your Course" by Pam Luecke
“Teaching Business Journalism - Organizing Your Course" by Pam LueckeReynolds Center for Business Journalism
The document discusses organizing a course on business journalism. It suggests the topics could fit into one or two courses, covering business fundamentals and economics. Key "must" topics include financial statements, regulatory agencies, and common business story types like IPOs and mergers. The document provides recommendations for textbooks, assignments including journalistic stories, organizing the syllabus, grading breakdown, and using outside speakers and field trips. The goal is to engage students in learning business journalism skills through hands-on assignments connected to course topics.“The Numbers in Sports - Investigating Sports Non-Profits" by Craig Harris
“The Numbers in Sports - Investigating Sports Non-Profits" by Craig HarrisReynolds Center for Business Journalism
“The Numbers in Sports - Investigating Sports Non-Profits" from Reynolds Week 2016 featuring Craig Harris.“Covering Campaign Finance” by Leslie Wayne
The document summarizes campaign finance history in the United States from the 1970s to present. It discusses key court cases and acts that have shaped how money influences politics over time. Citizens United vs FEC is highlighted as a pivotal 2010 Supreme Court decision that allowed unlimited spending by corporations and unions in elections, fueling a rise in "dark money" groups spending undisclosed amounts. Tables provide an overview of campaign contributions and spending for recent election cycles, demonstrating a growing role for unlimited outside spending groups.
“The Economics of Immigration” by Fernanda Santos
The economics of immigration tells a multifaceted story that combines business, social, and political aspects. It is most effectively told through both statistical data and humanizing examples. The makeup of the workforce provides insights into broader demographic and social changes, as well as predictors of economic, political, and social trends. Securing the US-Mexico border is important, but must be done in a way that does not unnecessarily stifle the $216 billion in annual trade between the two countries, which supports millions of jobs on both sides and is crucial to both economies. Border communities aspire to be more than just points of transit and want to capture more local economic value from the large volume of trade passing through the region.
“Where to Find Economic Data”
Economic data can be found from a variety of sources including government agencies, private research firms, and news organizations. The U.S. government collects and publishes vast amounts of economic statistics through agencies like the Bureau of Labor Statistics, Census Bureau, and Bureau of Economic Analysis. Private research firms and news organizations often analyze government economic data and provide context to help readers understand trends.
“Building Winning Business Investigations” by Glenn Hall
This document provides summaries of several investigative journalism articles and stories that have won awards. It discusses how iterative investigations can build understanding over time through episodic reporting. Some of the stories discussed include investigations into Medicare billing, corporate tax avoidance, food safety issues, and medical device recalls. The document emphasizes how this type of investigative journalism can inform the public and promote positive change.
Ag Media Summit - 30 Agriculture Stories
Christina Leonard, Director of Reynolds Business Reporting Bureau at the Walter Cronkite School of Journalism and Mass Communication shared 30 Agriculture stories at this year's Ag Media Summit. Take a look at these 30 examples of unique agriculture coverage to help end your writer's block!
Data Journalism 101 - Part 3 by Michael J. Berens
Pulitzer Prize winner, Michael J. Berens of The Seattle Times presents "Data Journalism 101," a three-hour, hands-on workshop for the Donald W. Reynolds National Center for Business Journalism at the Excellence in Journalism Conference in Nashville, Tenn. on Sept. 4, 2014.
Part 3 offers tips for creating your own databases.
For more business journalism training opportunities and resources, please visit http://businessjournalism.org.
More from Reynolds Center for Business Journalism (20)
“10 Databases You Can Use Today” by Steve Doig and Evan Wyloge
“10 Databases You Can Use Today” by Steve Doig and Evan Wyloge
“Using Census Data in Your Stories” by Brandon Quester and Evan Wyloge
“Using Census Data in Your Stories” by Brandon Quester and Evan Wyloge
“The Business of Pot” by Ricardo Baca and Kevin Dale
“The Business of Pot” by Ricardo Baca and Kevin Dale
“Developing an Effective Business Journalism Syllabus - Leverage! Using Exist...
“Developing an Effective Business Journalism Syllabus - Leverage! Using Exist...
“Developing an Effective Business Journalism Syllabus - Building the Syllabus...
“Developing an Effective Business Journalism Syllabus - Building the Syllabus...
“Marketing Your Work and Engaging Your Audience - Marketing Your Work” by Eli...
“Marketing Your Work and Engaging Your Audience - Marketing Your Work” by Eli...
“Marketing Your Work and Engaging Your Audience - Engaging Audiences to Promo...
“Marketing Your Work and Engaging Your Audience - Engaging Audiences to Promo...
“Marketing Your Work and Engaging Your Audience - Social Media Strategy and A...
“Marketing Your Work and Engaging Your Audience - Social Media Strategy and A...
“Teaching Business Journalism - Finding Your Audience" by Randy Smith
“Teaching Business Journalism - Finding Your Audience" by Randy Smith
“Teaching Business Journalism - Organizing Your Course" by Pam Luecke
“Teaching Business Journalism - Organizing Your Course" by Pam Luecke
“The Numbers in Sports - Investigating Sports Non-Profits" by Craig Harris
“The Numbers in Sports - Investigating Sports Non-Profits" by Craig Harris
“Building Winning Business Investigations” by Glenn Hall
“Building Winning Business Investigations” by Glenn Hall
Excel for Journalists by Steve Doig
- 1. Steve Doig Arizona State University USA Excel for Journalists
- 4. Now it’s data! Last name First name Age Title City Doig Steve 63 Professor Phoenix Jones Bob 45 Reporter Miami Smith Tom 34 Reporter New York
- 10. Fixed-width text
- 11. Sorting a table
- 12. Now it’s sorted
- 14. Pick a category…
- 15. … and see just that
- 17. Function Wizard ( ƒx)
- 18. Function Wizard ( ƒx)
- 21. Building a pivot table
- 22. Pivot table
- 24. Questions?