Types of charts in Excel and How to use themVijay Perepa
There are different Chart types and some times we face difficulty to find which chart is suitable for a specific Data set. In this series of Videos, we have discussed about each chart type and when to use etc.
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.
Top 8 Different Types Of Charts In Statistics And Their UsesStat Analytica
Are you confused about various Types Of Charts In Statistics? In this blog, you will get to learn about the various Types Of Charts In Statistics in detail.
Types of charts in Excel and How to use themVijay Perepa
There are different Chart types and some times we face difficulty to find which chart is suitable for a specific Data set. In this series of Videos, we have discussed about each chart type and when to use etc.
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.
Top 8 Different Types Of Charts In Statistics And Their UsesStat Analytica
Are you confused about various Types Of Charts In Statistics? In this blog, you will get to learn about the various Types Of Charts In Statistics in detail.
this ppt is about charts in ms excel.there are many types of chart used in ms excel but in this ppt some common types are defined,as line chart,bar,column,area ,scatter chart etc...
Created by María Jesús Campos Fernández, teacher at a bilingual section in Alcorcon (Madrid, Spain)
learningfromgeography.wikispaces.com
learningfromhistory.wikispaces.com
this ppt is about charts in ms excel.there are many types of chart used in ms excel but in this ppt some common types are defined,as line chart,bar,column,area ,scatter chart etc...
Created by María Jesús Campos Fernández, teacher at a bilingual section in Alcorcon (Madrid, Spain)
learningfromgeography.wikispaces.com
learningfromhistory.wikispaces.com
Let's understand 7QC tool and basic of Graph / Presentation what to use and when to use. It will enable you to apply graph and present your data in more graphical format.
Design Patterns
Christian Behrens
https://www.behance.net/gallery/29576487/The-Form-of-Facts-and-Figures
Christopher Alexander
The term design patterns was originally coined about three decades ago by Christopher Alexander, an architect and critic who envisioned a generic and modular “language” of methods to describe the process of construction and urban planning by means of recurring problems that are well-known in a specific context, and respective solutions that have been proved and tested in the past and can therefore be seen as a safe choice to tackle a certain design challenge. Although it never made its breakthrough in the field of architecture, the basic idea of design patterns was adopted by other engineering disciplines, most notably software development in the early 1990s. A second wave of success seems to have appeared recently, when several projects were launched to build up pattern libraries for digital user interfaces. https://en.wikipedia.org/wiki/Christopher_Alexander
2
Design Patterns
Rejected by Architects, Adopted by Software Engineers,
…and the field of user interface design.
Although Alexander’s book became a bestseller and is a de-facto standard read for architecture students until today, it received much criticism and invoked sceptical reactions among the architecture community. Looking back at it some thirty years later, Alexander’s pattern language can be described as a success story on a detour. While widely rejected by architects and urban planners, the concept was picked up by computer scientist in the late 1980s and became a huge success in the wake of the rise of object-oriented programming languages such as Java
3
Design Patterns
Rejected by Architects, Adopted by Software Engineers,
…and the field of user interface design.
http://zurb.com/patterntap
http://patternry.com/
useful for the general description of common design problems, and provide solutions based on the relationships and behaviors of objects Companies and institutions that deal with interface design problems, have also launched own projects that aim at streamlining the development of new products and services by means of a comprehensive design pattern collection.
Design Patterns can help to tackle commonly known recurring design problems with well-proven solutions. A single pattern provides a brief description of one particular design problem. This problem can be a physical attribute of an application (for instance a dropdown menu), or a functional behavior (e.g. the login dialog of a website). A pattern typically consists of a description of the problem, and a solution that has been proven before and is generally recognized. Usually, a pattern provides additional information like an example of a real-world scenario in which it has been successfully applied as well as a rationale to briefly describe the benefit the usage this patterns bears.
4
Discrete Quantities:
Simple Bar Chart
Snapshot:
they do not display con.
Top 7 types of Statistics Graphs for Data RepresentationStat Analytica
Are you struggling with choosing the right type of graph to represent your data set? if yes then have a look at this presentation to choose the best statistics graph to represent your data set.
BUSINESS INTELLIGENCE AND DATA ANALYTICS presentationMohit Negi
SIX SIGMA APPROACH, DIFFERENT TYPES OF CHARTS AND THEIR FUNCTION, DASHBOARD, BUSINESS INTELLIGENCE, DATA VISUALISATION INFORMATION VISUALISATION, PERFORMANCE DASHBOARD, BUSINESS REPORTING, BALANCE SCORECARD
Contains different types of Data Visualizations, best practices to follow for each case and what type of visualization should be made for different kinds of datasets.
At Sisense, we've discovered a unique formula that allows us to make insights easily accessible to everyone, everywhere, regardless of technical ability. Our 'secret sauce' inside.
Insights into Refugee Migration: Where Are People Fleeing from, and Where Are...Sisense
The current refugee crisis is one that’s been growing for quite some time, however, specific information regarding it is often lacking or misunderstood. In our most recent report, we did an in-depth investigation of what exactly is going on relating to the refugee issue, and the regions of the world most affected by this crisis between the years of 2010-2016 based on World Bank Open Data statistics.
Sisense’s end-to-end, agile BI platform provides many APIs that enable a variety of customization. Here we introduce the benefits of Sisense APIs and some common benefits enabled by them.
FIFA WORLD CUP 2018 PREDICTIONS - Who Will Challenge the European Domination ...Sisense
Predict the winners of the 2018 World Cup Russia using our prediction model. Using an analytical approach and public datasets, our analysts bring true World Cup insights to everyone in this analytical article. Use our 'success prediction model' to determine the winners in this year's 2018 World Cup event.
Telling a Story through Data: Dashboard Design GuidelinesSisense
By using the right visualization, you can tell a clear story with your data, a story that expresses the meaning of the data and answers business questions. This presentation covers four principles of good data visualizations that will tell your story and allow you to focus on the information that's important.
A Practical Guide: Building your Business Intelligence Business Case for 2017Sisense
So you’ve decided you want to jump on the data analytics bandwagon and propel your company into the 21st century with better analytics, reporting and data visualization. But to get a BI project rolling you usually need the entire organization, or at the very least the entire department, to get on board. Since embarking on a BI initiative requires an investment of time and resources, convincing the relevant people in the company to take the leap is imperative. You’ll need to construct a solid business case, defend your budget request and prove the value BI can bring to your organization.
In this Slideshare you’ll discover:
- Why organizations need to invest in BI to begin with
- How are organization deriving value from BI
- How to build an internal business case for investing in BI
- What are the intricacies of how to build a budget
- How to drive your company to a purchasing decision
- How to start realizing value from BI now
The “Old” world of BI, with its IT-centric solutions, OLAP-based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data-driven and integrated solutions to try and empower the business user.
More information can be found at sisense.com
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
3. 1. Indicator
Incorporating a simple “gauge indicator” visualization
shows you immediately whether you’re above or below
target, and whether you’re moving in the right direction.
Even more straight forward is a Numeric Indicator like the
one below right, which gives a simple headline figure and
an indication of how this compares to the previous year /
quarter / month etc.
Sisense.com
7. 3. Bar Chart
Bar charts are great for comparing several different
values, especially when some of these are broken into
color-coded categories.
Sisense.com
9. 4. Column Chart
Usually it makes sense to use column charts for side-by-
side comparison of different values. You can also use
them to show change over time, although it makes sense
to do this when you want to draw attention to total
figures rather than the shape of the trend (which is more
effective with a line chart).
Sisense.com
11. 5. Pie Chart
Pie charts are useful for communicating instantaneously
what share each value makes up of the whole. They’re far
more intuitive than simply listing percentages that add up
to 100%.
Sisense.com
13. 6. Area Chart
Area charts are useful as they give a sense of the overall
volume, as well as the proportion of this taken up by each
category.
Sisense.com
15. 7. Pivot Table
Pivot tables aren’t the most beautiful or intuitive ways to
visualize data, but they are useful when you want to
quickly extract key figures while seeing exact numbers
(rather than get a sense of trends).
Sisense.com
17. 8. Scatter Chart
Scatter charts represent categories by circle color and the
volume of the data by circle size; they’re used to visualize
the distribution of, and relationship between, two
variables.
Sisense.com
19. 9. Treemap
Treemaps are useful for displaying hierarchies and
comparative value between categories and subcategories,
as well as allowing you to retain detail while projecting an
instant sense of which areas are most important overall.
Sisense.com
21. 10. Polar Chart
A polar chart (or polar area diagram) is a type of pie chart.
However, instead of depicting each value’s share of the
whole by the size of the angle, all the sectors have equal
angles, and the value is shown by the how far it reaches
from the center of the circle.
Sisense.com
23. 11. Area Map/Scatter Map
These kinds of data visualizations allow you to see
immediately which geographical locations are most
significant to your business. Data is visualized as points of
color on a map; values are represented by circle size.
Sisense.com
25. 12. Funnel Chart
This is a very specific type of visualization that depicts the
decreasing values as customers move through the sales
funnel. The beauty of it is that it brings to life your
conversion rates at each step, so you can see quickly
where you are losing people in the process.
Sisense.com
26. Learn how to visualize data like a pro with Sisense
interactive dashboards:
https://www.sisense.com/dashboard-examples/
Originally published in Sisense’s blog: https://www.sisense.com/blog/10-useful-ways-visualize-data-
examples/?utm_source=slideshare&utm_medium=referral&utm_campaign=visualize_data_12_ways/