This presentation educates you about Tableau - Crosstab and there types Simple Crosstab, Crosstab - Color Encoded and Crosstab with Row Percentage with example.
This presentation educates you about Tableau - Scatter Plot and its types of charts are Simple Scatter Plot, Scatter Plot - Color Encoded and Drill-Down Scatter Plot with example.
For more topics stay tuned with Learnbay
This presentation educates you about Tableau - Bump Chart, Creating a Bump Chart in steps with chart example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Tree Map and its uses,Creating a Tree Map and Tree Map with Two Dimensions with example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Histogram, Purpose of Tableau - Histogram, Creating a Histogram and Creating a Histogram with Dimension.
This presentation educates you about Tableau - Waterfall Charts and Creating a Waterfall Chart in step by step with example charts.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Line Chart and its types Simple Line Chart, Multiple Measure Line Chart and Line Chart with Label with example charts.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Motion Charts and Creating a Motion Chart with step by step including chart example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Scatter Plot and its types of charts are Simple Scatter Plot, Scatter Plot - Color Encoded and Drill-Down Scatter Plot with example.
For more topics stay tuned with Learnbay
This presentation educates you about Tableau - Bump Chart, Creating a Bump Chart in steps with chart example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Tree Map and its uses,Creating a Tree Map and Tree Map with Two Dimensions with example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Histogram, Purpose of Tableau - Histogram, Creating a Histogram and Creating a Histogram with Dimension.
This presentation educates you about Tableau - Waterfall Charts and Creating a Waterfall Chart in step by step with example charts.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Line Chart and its types Simple Line Chart, Multiple Measure Line Chart and Line Chart with Label with example charts.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Motion Charts and Creating a Motion Chart with step by step including chart example.
For more topics stay tuned with Learnbay.
This presentation educates you about Tableau - Box Plot and its uses, Uses of Bullet Graph, Creating a Box Plot and Box Plot with Two Dimensions.
For more topics stay tuned with Learnbay.
Part 4 : Visualizing time using Line graphs and Date filters in Tableau.
Data set link: https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/Superstore.xls
This document discusses graphs and how to create and modify them. It covers basic graph concepts, changing graph types and properties like data series, axes, colors and pictures. Activities demonstrate how to change bar fill colors, graph type, axis scales and remove data series. Common graph types are defined as line, pie and column graphs. Key graph elements are also identified, such as data series, labels, legends and scales. Tips are provided for graph creation, selection of non-adjacent data, formatting axis values and modifying existing graphs.
Graphs are visual representations of data that help illustrate amounts and relationships. There are several common types of graphs, including pictographs, pie charts, map charts, histograms, bar graphs, and line graphs. Each graph type has distinct features - for example, pictographs use icons to represent quantities, pie charts show data as percentages, and line graphs connect data points with lines. Graphs are useful tools for understanding and analyzing various sets of information.
The document discusses different types of graphs and charts used to visualize data, including their purposes and appropriate uses. It explains that line charts show trends over time, column charts compare items within categories, and pie charts show proportional relationships. Scatter plots and bubble charts illustrate correlations between two variables, while area charts emphasize changes between data points. Combination charts allow comparison of multiple categories. Proper visualization selection depends on the problem and data to be depicted.
This document discusses different types of graphs used to present statistical data. It provides examples and guidelines for bar graphs, pie charts, histograms, line graphs, and pictographs. Bar graphs can show categorical data and frequencies. Pie charts represent qualitative data through wedge-shaped slices. Histograms use bars to depict continuous data grouped into ranges or classes. Line graphs illustrate relationships that change over time. Pictographs use images to demonstrate quantities. Being able to interpret and construct these various graphs is important for analyzing real-world data.
This document discusses different types of graphs that can be used in Actuate reports, including pie, bar, line, scatter, high-low-close, and candlestick graphs. It provides examples of when each graph type would be appropriate and how to insert and configure graphs in an Actuate report. Graphs are configured using properties to select the type and format the data stream.
Simple graph types include line charts, area charts, column charts, bar charts, segmented bar/column charts, pie charts, and doughnut charts. Line charts show changes over time and compare variables. Area charts show changes in volume over time. Column charts compare data at specific times or between nominal categories. Bar charts emphasize comparisons. Segmented charts show proportional relationships and sub-elements over time. Pie charts compare parts to a whole. Doughnut charts are like pie charts but can show multiple data series.
SimplyMap is a web-based mapping application that allows both technical and non-technical users to create thematic maps and reports using demographic, business, and marketing data. This guide provides instructions on how to get started with SimplyMap, including how to create new maps and reports using wizard tutorials or manually by selecting locations and variables. It also explains how to export maps and reports for use in other programs or for sharing.
This document provides instructions for creating and modifying charts in Excel. It explains how to insert a chart using selected data, identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to a different worksheet. The goal is to teach the reader how to use charts effectively to visually communicate data trends and comparisons from a spreadsheet.
The document provides instructions for customizing charts created from data in a Word spreadsheet. It describes how to change chart styles, colors, and formatting of data series; modify row and column headings; and experiment with different chart types, labels, legends, and views. The goal is to familiarize the user with various options for visualizing and presenting spreadsheet data visually through charts in Word.
A graph is a visual representation of data using symbols to show relationships between sets of numbers or measurements. Common types of graphs include bar charts, line charts, pie charts, and histograms. A bar chart uses bars to compare categorical data along two axes. A line chart connects data points over time to show changes in an asset's price. A pie chart divides a circle into slices proportional to the quantities in different categories. A histogram bins data values into intervals and counts the number of values within each interval.
This document discusses different types of charts and graphs that can be used to visually represent data. It provides examples of pie charts, bar charts, column charts, line charts, area charts, and scatter plots. Reasons for creating charts include making trends easily recognizable, allowing quick perception of information, and aiding data interpretation. Charts can be incorporated into business reports, web pages, posters, and other documents. Proper selection of charts is important to illustrate different types of data, such as time series data displayed in line graphs or comparisons shown in bar charts.
Area charts display changes in magnitude over time using colored areas below lines. They can be 2D or 3D, stacked to show contribution, or 100% stacked to show percentage contribution over time. Scatter charts show relationships between numeric variables and are used for scientific data. Bubble charts are like scatter charts but show three variables where the third determines bubble size. Stock charts illustrate price fluctuations over time using high, low, close values or including open and volume values.
The document discusses organizing and presenting data through tables and graphs. It provides examples of how to construct a data table and two types of graphs: bar graphs and line graphs. Bar graphs are used to compare values across categories when the independent variable is in word form. Line graphs connect data points with a line and are used when the independent variable is a number. The document outlines the steps to create each type of graph, including labeling axes, plotting data pairs, and summarizing trends in the data.
Commly used shapes and designs for powerpointPushkar Kumar
These are some of the commonly used shapes and formats in a professionally designed powerpoint slide. Use them to make your presentation more impactful and give it the professional touch. Want to download - email me
-- Update: Followed by soo many requests, you can now download the file as well
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
The Ultimate Guide to Ad5 e808 adobe audience manager business practitioner e...PennyJose1
Please follow the below link to get this ultimate guide -
https://bit.ly/2Zv7LXG
AD5-E808 Adobe Audience Manager Business Practitioner Expert Certification Exam provides you with the necessary skills and knowledge to create, execute, and optimize multichannel marketing campaigns that integrate Adobe Experience Manager, Adobe Campaign, and Adobe Target. The exam assesses your proficiency in administering, deploying, and supporting multichannel marketing. Scale your capabilities as a digital marketer by proving you have the skills to streamline processes and drive accurate audience data analytics throughout the customer lifecycle.
This document is a PowerPoint presentation about using tables, graphs, and charts in social studies. It defines tables as a visual display of data arranged in columns that can emphasize or compare information. Graphs make facts easier to understand, including bar graphs, line graphs, pictographs, and pie charts. Pie charts show proportions of a whole. The document instructs how to interpret graphs by identifying information, analyzing it, and developing hypotheses. It describes bar graphs as comparing two types of information, line graphs as showing changes over time, pictographs using pictures to represent amounts, and pie charts making parts easier to compare to a whole. Steps are provided for using charts, such as reading labels and making interpretations.
- The document describes different types of charts in Tableau including bar charts, line charts, pie charts, scatter plots, and Gantt charts.
- It explains how to create these charts by dragging dimensions and measures to the rows, columns, and marks shelves. Additional formatting options like color, labels, and drill downs are also covered.
- Level of detail (LOD) expressions allow computing aggregations across different granularities and are described as fixed, include, and exclude LODs along with steps to create a custom LOD calculation.
This document provides instructions for creating different types of bubble charts in Tableau. It explains that bubble charts display data as circles sized proportionally to measure values and colored by dimension values. It then demonstrates how to create a simple bubble chart in Tableau showing profit amounts by ship mode, and how to modify it to display measure values within the circles or use shading to represent measure values.
This presentation educates you about Tableau - Box Plot and its uses, Uses of Bullet Graph, Creating a Box Plot and Box Plot with Two Dimensions.
For more topics stay tuned with Learnbay.
Part 4 : Visualizing time using Line graphs and Date filters in Tableau.
Data set link: https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/Superstore.xls
This document discusses graphs and how to create and modify them. It covers basic graph concepts, changing graph types and properties like data series, axes, colors and pictures. Activities demonstrate how to change bar fill colors, graph type, axis scales and remove data series. Common graph types are defined as line, pie and column graphs. Key graph elements are also identified, such as data series, labels, legends and scales. Tips are provided for graph creation, selection of non-adjacent data, formatting axis values and modifying existing graphs.
Graphs are visual representations of data that help illustrate amounts and relationships. There are several common types of graphs, including pictographs, pie charts, map charts, histograms, bar graphs, and line graphs. Each graph type has distinct features - for example, pictographs use icons to represent quantities, pie charts show data as percentages, and line graphs connect data points with lines. Graphs are useful tools for understanding and analyzing various sets of information.
The document discusses different types of graphs and charts used to visualize data, including their purposes and appropriate uses. It explains that line charts show trends over time, column charts compare items within categories, and pie charts show proportional relationships. Scatter plots and bubble charts illustrate correlations between two variables, while area charts emphasize changes between data points. Combination charts allow comparison of multiple categories. Proper visualization selection depends on the problem and data to be depicted.
This document discusses different types of graphs used to present statistical data. It provides examples and guidelines for bar graphs, pie charts, histograms, line graphs, and pictographs. Bar graphs can show categorical data and frequencies. Pie charts represent qualitative data through wedge-shaped slices. Histograms use bars to depict continuous data grouped into ranges or classes. Line graphs illustrate relationships that change over time. Pictographs use images to demonstrate quantities. Being able to interpret and construct these various graphs is important for analyzing real-world data.
This document discusses different types of graphs that can be used in Actuate reports, including pie, bar, line, scatter, high-low-close, and candlestick graphs. It provides examples of when each graph type would be appropriate and how to insert and configure graphs in an Actuate report. Graphs are configured using properties to select the type and format the data stream.
Simple graph types include line charts, area charts, column charts, bar charts, segmented bar/column charts, pie charts, and doughnut charts. Line charts show changes over time and compare variables. Area charts show changes in volume over time. Column charts compare data at specific times or between nominal categories. Bar charts emphasize comparisons. Segmented charts show proportional relationships and sub-elements over time. Pie charts compare parts to a whole. Doughnut charts are like pie charts but can show multiple data series.
SimplyMap is a web-based mapping application that allows both technical and non-technical users to create thematic maps and reports using demographic, business, and marketing data. This guide provides instructions on how to get started with SimplyMap, including how to create new maps and reports using wizard tutorials or manually by selecting locations and variables. It also explains how to export maps and reports for use in other programs or for sharing.
This document provides instructions for creating and modifying charts in Excel. It explains how to insert a chart using selected data, identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to a different worksheet. The goal is to teach the reader how to use charts effectively to visually communicate data trends and comparisons from a spreadsheet.
The document provides instructions for customizing charts created from data in a Word spreadsheet. It describes how to change chart styles, colors, and formatting of data series; modify row and column headings; and experiment with different chart types, labels, legends, and views. The goal is to familiarize the user with various options for visualizing and presenting spreadsheet data visually through charts in Word.
A graph is a visual representation of data using symbols to show relationships between sets of numbers or measurements. Common types of graphs include bar charts, line charts, pie charts, and histograms. A bar chart uses bars to compare categorical data along two axes. A line chart connects data points over time to show changes in an asset's price. A pie chart divides a circle into slices proportional to the quantities in different categories. A histogram bins data values into intervals and counts the number of values within each interval.
This document discusses different types of charts and graphs that can be used to visually represent data. It provides examples of pie charts, bar charts, column charts, line charts, area charts, and scatter plots. Reasons for creating charts include making trends easily recognizable, allowing quick perception of information, and aiding data interpretation. Charts can be incorporated into business reports, web pages, posters, and other documents. Proper selection of charts is important to illustrate different types of data, such as time series data displayed in line graphs or comparisons shown in bar charts.
Area charts display changes in magnitude over time using colored areas below lines. They can be 2D or 3D, stacked to show contribution, or 100% stacked to show percentage contribution over time. Scatter charts show relationships between numeric variables and are used for scientific data. Bubble charts are like scatter charts but show three variables where the third determines bubble size. Stock charts illustrate price fluctuations over time using high, low, close values or including open and volume values.
The document discusses organizing and presenting data through tables and graphs. It provides examples of how to construct a data table and two types of graphs: bar graphs and line graphs. Bar graphs are used to compare values across categories when the independent variable is in word form. Line graphs connect data points with a line and are used when the independent variable is a number. The document outlines the steps to create each type of graph, including labeling axes, plotting data pairs, and summarizing trends in the data.
Commly used shapes and designs for powerpointPushkar Kumar
These are some of the commonly used shapes and formats in a professionally designed powerpoint slide. Use them to make your presentation more impactful and give it the professional touch. Want to download - email me
-- Update: Followed by soo many requests, you can now download the file as well
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
The Ultimate Guide to Ad5 e808 adobe audience manager business practitioner e...PennyJose1
Please follow the below link to get this ultimate guide -
https://bit.ly/2Zv7LXG
AD5-E808 Adobe Audience Manager Business Practitioner Expert Certification Exam provides you with the necessary skills and knowledge to create, execute, and optimize multichannel marketing campaigns that integrate Adobe Experience Manager, Adobe Campaign, and Adobe Target. The exam assesses your proficiency in administering, deploying, and supporting multichannel marketing. Scale your capabilities as a digital marketer by proving you have the skills to streamline processes and drive accurate audience data analytics throughout the customer lifecycle.
This document is a PowerPoint presentation about using tables, graphs, and charts in social studies. It defines tables as a visual display of data arranged in columns that can emphasize or compare information. Graphs make facts easier to understand, including bar graphs, line graphs, pictographs, and pie charts. Pie charts show proportions of a whole. The document instructs how to interpret graphs by identifying information, analyzing it, and developing hypotheses. It describes bar graphs as comparing two types of information, line graphs as showing changes over time, pictographs using pictures to represent amounts, and pie charts making parts easier to compare to a whole. Steps are provided for using charts, such as reading labels and making interpretations.
- The document describes different types of charts in Tableau including bar charts, line charts, pie charts, scatter plots, and Gantt charts.
- It explains how to create these charts by dragging dimensions and measures to the rows, columns, and marks shelves. Additional formatting options like color, labels, and drill downs are also covered.
- Level of detail (LOD) expressions allow computing aggregations across different granularities and are described as fixed, include, and exclude LODs along with steps to create a custom LOD calculation.
This document provides instructions for creating different types of bubble charts in Tableau. It explains that bubble charts display data as circles sized proportionally to measure values and colored by dimension values. It then demonstrates how to create a simple bubble chart in Tableau showing profit amounts by ship mode, and how to modify it to display measure values within the circles or use shading to represent measure values.
This presentation educates you about Tableau - bar chart and the types of bar chart are Simple Bar Chart, Bar Chart with Color Range and Stacked Bar Chart with example.
For more topics stay tuned with Learnbay.
This document provides instructions for creating various basic chart types and applying analytics in Tableau, including:
- How to create bar, line, and scatter plots from different data fields.
- Steps for organizing data using groups, sets, and hierarchies and applying filters.
- Techniques for applying analytics like sorting, reference lines, calculations, parameters and totals.
- Examples demonstrate how to visualize trends over time, compare variables, and add forecasting and trend lines to charts.
Tableau is a business intelligence tool that allows users to create customizable data visualizations and dashboards with no coding required. It integrates with many data sources and can handle large datasets quickly. The main components in Tableau include worksheets, dashboards, and stories. Worksheets contain single views, dashboards consolidate multiple views, and stories describe data narratives through multiple dashboards. Tableau provides various visualizations like bar charts, line charts, maps, and more. Users can customize visualizations by filtering data, formatting colors and fonts, and aggregating measures.
**Tableau Basics Cheat Sheet**
*Introduction:*
Tableau is a powerful data visualization and business intelligence tool that allows users to easily analyze and present data in a visually compelling way. This Tableau Basics Cheat Sheet serves as a quick reference guide to help beginners get started with Tableau and perform common tasks efficiently.
*1. Data Connection:*
- Connect to data sources like Excel, CSV, databases, etc.
- Drag and drop data fields onto the "Rows" and "Columns" shelves to create a basic view.
*2. Visualizations:*
- Create various visualizations like bar charts, line graphs, scatter plots, maps, etc.
- Double-click on a field to create a basic visualization or drag fields onto the "Marks" shelf to customize.
*3. Filters:*
- Apply filters to focus on specific data subsets.
- Right-click on a field or drag it onto the "Filters" shelf to create a filter.
*4. Sorting:*
- Sort data based on specific fields.
- Right-click on a field or use the sort icon in the toolbar to sort data.
*5. Calculated Fields:*
- Create custom calculations using existing fields.
- Go to "Analysis" > "Create Calculated Field" to define formulas.
*6. Groups & Hierarchies:*
- Group data by combining individual data points.
- Create hierarchies to organize data into drill-down levels.
*7. Aggregation:*
- Aggregate data using functions like SUM, AVG, COUNT, etc.
- Drag fields to the "Measure Values" shelf to apply aggregation.
*8. Dual-Axis Charts:*
- Combine two different chart types on the same axes to compare data.
- Right-click on a axis and select "Dual-Axis" to enable this feature.
*9. Dashboard Creation:*
- Combine multiple visualizations into a single dashboard.
- Drag sheets onto the dashboard canvas and arrange as desired.
*10. Parameters:*
- Use parameters to create interactive dashboards.
- Right-click in the data pane and select "Create Parameter" to get started.
*11. Data Blending:*
- Blend data from multiple sources for comprehensive analysis.
- Go to "Data" > "Edit Relationships" to define data blending.
*12. Publishing:*
- Share your Tableau workbooks with others by publishing to Tableau Server or Tableau Public.
- Go to "Server" > "Publish Workbook" to share your insights.
*13. Formatting:*
- Customize the appearance of visualizations and dashboards.
- Use the "Format" options and "Dashboard" menu to fine-tune the design.
*14. Interactivity:*
- Add filters, actions, and tooltips to make visualizations interactive.
- Explore the "Dashboard" menu for interaction options.
*15. Exporting:*
- Export visualizations as images, PDFs, or data files.
- Use the "File" menu to access export options.
Remember, this Tableau Basics Cheat Sheet provides just a glimpse of Tableau's capabilities. As you gain more experience, you can explore advanced features and create more sophisticated data visualizations and insights to drive better decision-making. Happy data analyzing with Tableau!
This presentation educates you about Tableau - Pie Chart and its types Simple Pie Chart, Drill-Down Pie Chart with example chart.
For more topics stay tuned with Learnbay.
Các loại biểu đồ trình bày dữ liệu kinh doanhChng83
This document provides an overview of different types of charts that can be used to visualize data, including bar charts, line charts, scatter plots, histograms, pie charts and more. It discusses the appropriate uses for each chart type based on the number and type of variables being visualized, such as when comparing one or more categorical variables, showing the distribution of numeric variables, depicting relationships between two or more numeric variables, or showing trends over time. Examples are given for different data types and visualization goals to help select the best chart type.
Tableau Charts – The Types and Traits Part 01.pdfqrsolutionsindia
This document discusses different types of charts in Tableau, including text tables, heat maps, highlight tables, symbol maps, filled maps, pie charts, horizontal bar charts, and side-by-side bar charts. For each chart type, the document outlines the minimum requirements in terms of dimensions and measures needed, as well as describing the purpose and key attributes of each visual. There are 24 total chart types available in Tableau's Show Me feature.
Introduction to Business analytics unit3jayarellirs
This document discusses various methods for visualizing and summarizing data. It describes different types of charts like column charts, line charts, pie charts, and scatter plots that can be used to visualize quantitative data. It also discusses tools in Excel for filtering, sorting, and summarizing data in tables and how techniques like Pareto analysis can help identify key factors.
Descriptive analytics BA4206 Anna university Business AnalyticsFreelance
Descriptive analytics UNIT 3 anna university PPT FREE DOWNLOAD Descriptive analytics is a commonly used form of data analysis whereby historical data is collected, organized and then presented in a way that is easily understood.
RS Trainings: is a brand and providing quality online and offline trainings for students in world wide. Rs Trainings providing Best DataScience online training in Hyderabad
Download Complete Material - https://www.instamojo.com/prashanth_ns/
This Advanced Excel - Office 2010 contains 12 Units and each unit contains 40 to 60 slides in it.
Contents…
• Manage cell and range names
• Calculate data across worksheets
• Use specialized functions
• Analyze data with logical and lookup functions
• Create and modify tables and Format tables
• Sort or filter worksheet or table data
• Calculate data in a table or worksheet
• Create, Modify and Format chart
• Create a PivotTable report
• Analyze data using PivotCharts
• Insert and modify pictures and ClipArt
• Draw and modify shapes
• Illustrate workflow using SmartArt graphics
• Layer and group graphic objects
• Customize the Excel environment
• Customize workbooks
• Manage themes and Create and use templates
• Apply conditional formatting
• Add data validation criteria
• Update a workbook’s properties
• Modify Excel’s default settings
• Share a workbook
• Set revision tracking and Review tracked revisions
• Merge workbooks
• Administer digital signatures
• Restrict document access
• Trace precedents and dependents of a cell
• Troubleshoot errors in formulas and invalid data and formulas
• Watch and evaluate formulas
• Create a data list outline, a trend line and scenarios
• Perform what-if analysis and statistical analysis
• Create a workspace and Consolidate data
• Link cells in different workbooks
• Edit links and Export Excel data
• Import a delimited text file
• Publish a worksheet to the web
• Import data from the web
• Create a web query
• Develop XML maps and Import and export XML data
Tableau Homework 3 – Exploring Chart Types with QVC Data .docxperryk1
This document provides instructions for a Tableau homework assignment exploring different chart types using QVC sales data. Students are asked to create various charts and maps including a highlighted table, scatter plot, tree map, histogram, box plot, symbol map, delivery days map, line chart, slope graph, and dashboard. The goal is to continue building basic Tableau skills for tables, maps, and charts while analyzing metrics like sales, delivery times, order values, and more. Students will calculate fields, filter data, format visualizations, and change properties to enhance the analyses.
This document provides information about different types of charts used to display statistical data. It discusses pie charts, which show proportional data through slices of a circle. Column charts are used to illustrate comparisons over time by arranging categories horizontally and values vertically. Line charts display continuous data over time through connected data points and are ideal for showing trends. The document explains when each type of chart is most appropriate to use based on the characteristics of the data being visualized.
Microsoft charts can be used to visualize data and maximize impact on an audience. There are various types of charts including column, line, pie, doughnut, bar, area, scatter, bubble, map, stock, surface, radar, treemap, sunburst, histogram, box and whisker, waterfall, and funnel charts. Combo charts combine two or more chart types to make widely varied data easier to understand.
The document provides instructions on how to create different visualizations and dashboards in Power BI to present insights and metrics from company data for an important meeting. It includes steps to create card, table, column, bar, line and pie charts as well as how to format visuals by adding titles and changing backgrounds. Following the instructions will help impress stakeholders by presenting performance metrics in an interactive dashboard.
This presentation educates you about top data science project ideas for Beginner, Intermediate and Advanced. the ideas such as Fake News Detection Using Python, Data Science Project on, Detecting Forest Fire, Detection of Road Lane Lines, Project on Sentimental Analysis, Speech Recognition, Developing Chatbots, Detection of Credit Card Fraud and Customer Segmentations etc:
For more topics stay tuned with Learnbay.
This presentation educate you about how to create table using Python MySQL with example syntax and Creating a table in MySQL using python.
For more topics stay tuned with Learnbay.
This presentation educates you about Python MySQL - Create Database and Creating a database in MySQL using python with sample program.
For more topics stay tuned with Learnbay.
This presentation educates you about Python MySQL - Database Connection, Python MySQL - Database Connection, Establishing connection with MySQL using python with sample program.
For more topics stay tuned with Learnbay.
This document discusses how to install and use the mysql-connector-python package to connect to a MySQL database from Python. It provides instructions on installing Python and PIP if needed, then using PIP to install the mysql-connector-python package. It also describes verifying the installation by importing the mysql.connector module in a Python script without errors.
This presentation educates you about AI - Issues and the types of issue, AI - Terminology with its list of frequently used terms in the domain of AI.
For more topics stay tuned with Learnbay.
This presentation educates you about AI - Fuzzy Logic Systems and its Implementation, Why Fuzzy Logic?, Why Fuzzy Logic?, Membership Function, Example of a Fuzzy Logic System and its Algorithm.
For more topics stay tuned with Learnbay.
This presentation educates you about AI - Working of ANNs, Machine Learning in ANNs, Back Propagation Algorithm, Bayesian Networks (BN), Building a Bayesian Network and Gather Relevant Information of Problem.
For more topics stay tuned with Learnbay.
This presentation educates you about AI- Neural Networks, Basic Structure of ANNs with a sample of ANN and Types of Artificial Neural Networks are Feedforward and Feedback.
For more topics stay tuned with Learnbay.
This presentation educates you about Artificial Intelligence - Robotics, What is Robotics?, Difference in Robot System and Other AI Program, Robot Locomotion, Components of a Robot and Applications of Robotics.
For more topics stay tuned with Learnbay.
This presentation educates you about Applications of Expert System, Expert System Technology, Development of Expert Systems: General Steps and Benefits of Expert Systems.
For more topics stay tuned with Learnbay.
This presentation educates you about AI - Components and Acquisition of Expert Systems and those are Knowledge Base, Knowledge Base and User Interface, AI - Expert Systems Limitation.
For more topics stay tuned with Learnbay.
This presentation educates you about AI - Expert Systems, Characteristics of Expert Systems, Capabilities of Expert Systems and Components of Expert Systems.
For more topics stay tuned with Learnbay.
This presentation educates you about AI - Natural Language Processing, Components of NLP (NLU and NLG), Difficulties in NLU and NLP Terminology and steps of NLP.
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This presentation educates you about AI - Popular Search Algorithms, Single Agent Pathfinding Problems, Search Terminology, Brute-Force Search Strategies, Breadth-First Search and Depth-First Search with example chart.
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This presentation educates you about AI - Agents & Environments, Agent Terminology, Rationality, What is Ideal Rational Agent?, The Structure of Intelligent Agents and Properties of Environment.
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This presentation educates you about Artificial Intelligence - Research Areas, Speech and Voice Recognition., Working of Speech and Voice Recognition Systems and Real Life Applications of Research Areas.
For more topics stay tuned with Learnbay.
This presentation educates you about Artificial intelligence composed and those are Reasoning, Learning, Problem Solving, Perception and Linguistic Intelligence.
For more topics stay tuned with Learnbay.
This presentation educates you about Artificial Intelligence - Intelligent Systems, Types of Intelligence, Linguistic intelligence, Musical intelligence, Logical-mathematical intelligence, Spatial intelligence, Bodily-Kinesthetic intelligence, Intra-personal intelligence and Interpersonal intelligence.
For more topics stay tuned with Learnbay.
This presentation educates you about Applications of Artificial Intelligence such as Intelligent Robots, Handwriting Recognition, Speech Recognition, Vision Systems and so more.
For more topics stay tuned with Learnbay.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Creative Restart 2024: Mike Martin - Finding a way around “no”Taste
Ideas that are good for business and good for the world that we live in, are what I’m passionate about.
Some ideas take a year to make, some take 8 years. I want to share two projects that best illustrate this and why it is never good to stop at “no”.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
2. A crosstab chart in Tableau is also known as Text
table, which shows the data in textual form.
The chart is made up of one or more dimensions
and one or more measures.
This chart can also show various calculations on
the values of the measure field such as running
total, percentage total, etc.
Tableau - Crosstab
3. Simple Crosstab
Using the Sample-superstore, let's plan to get the
amount of sales for each segment in each region.
You need to display this data for each year using
the order dates available.
To achieve this objective, following are the steps.
Step 1 − Drag and drop the dimension order
date to the columns shelf.
Step 2 − Drag and drop the dimensions region
and segment to the rows shelf.
Step 3 − Pull the measure Sales to the labels
Shelf under Marks.
The following chart appears which shows the
Crosstab.
4.
5. Crosstab - Color Encoded
You can get the values color encoded in the
crosstab chart by dropping the measure field into
the Color shelf as shown in the following
screenshot.
This color coding shows the strength of the color
depending on the value of the measure.
The larger values have a darker shade than the
lighter values.
6.
7. Crosstab with Row Percentage
In addition to the color encoding, you can also get
calculations applied to the values from the
measure.
In the following example, we apply the calculation
for finding the percentage total of sales in each
row instead of only the sales figures.
For this, right-click on SUM (Sales) present in the
marks card and choose the option Add Table
Calculation.
Then, choose the percent of total and summarize
it as Table (Across).
8.
9. Tableau - Scatter Plot
Tableau - Bubble Chart
Tableau - Bullet Graph
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