Presentation is about advance excel advance feature PIVOT Table and contains steps to insert pivot table and some useful features of pivot table in case of large amount of data
Learn how to Improve your Excel experience with this Slide Share on Excel Dashboards. From Graphs & Charts to Slicer and Conditional Formatting. Feel free to share it with your colleagues and with any one who is looking to improve they Excel Skills!
In this Slide Share you will find :
- What are Excel Dashboards?
- Excel Tools
- A Roadmap for creation
- Examples
- Extra resources
Please leave your comments!
Presentation is about advance excel advance feature PIVOT Table and contains steps to insert pivot table and some useful features of pivot table in case of large amount of data
Learn how to Improve your Excel experience with this Slide Share on Excel Dashboards. From Graphs & Charts to Slicer and Conditional Formatting. Feel free to share it with your colleagues and with any one who is looking to improve they Excel Skills!
In this Slide Share you will find :
- What are Excel Dashboards?
- Excel Tools
- A Roadmap for creation
- Examples
- Extra resources
Please leave your comments!
This presentation shows how to use Microsoft Excel to analyze data. It covers basics, formulas, ranges, formatting, functions, charts, and pivots.
Examples are provided for more than 200 concepts introduced to users of MS Excel to enable them in analyzing and visualizing their data using this powerful and widely available tool.
Examples are also available in an MS Excel spreadsheet.
Please reach out to the author for a copy.
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...Cengage Learning
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Computing Conference
Presenter: Patrick Carey, Cengage Learning Author
Excel is sometimes called the most popular "database" in the world, not because it's a database but because it makes data so accessible that users often turn to spreadsheets for data entry. Yet for all that, Excel's tools for data analysis and modeling remain largely untapped by the average user. In this, pivot tables may be the most powerful and least utilized tool for data exploration. In this presentation we'll examine some of the new enhancements to pivot tables introduced in Excel 2013. We'll examine how to set up relationships using the Excel Data Model to summarize information across multiple data tables. And then we'll go beyond, exploring the data modeling and data visualizing tools provided by the PowerPivot and Power View add-ins, interpreting data not just numerically but through visual imagery, charts, and interactive maps.
Tableau online training and tableau desktop , tableau admin
tableau certification, tableau interview questions, tableau training institutes in hyderabad, tableau training institutes in Bangalore
Excel – is the world’s most widely used spreadsheet calculating program
It is used in many places like hospitals, hotels, school and companies etc.
A program that allows you to use data to forecast, manage, predict, and present information
Lets Just Go For It! Wish you an Awesome Leaning Experience.
Subscribe to our YouTube channel: https://www.youtube.com/c/TimesRide?sub_confirmation=1
Our Official Website: http://timesride.com
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Thank You
#AwesomeLearningExperience
#SmartQuickTips&Tricks #LeaningVideos #TimesRide #Keep Learning to Keep Winning!
North Raleigh Rotarian Katie Turnbull gave a great presentation at our Friday morning extension meeting about data visualization. Katie is a consultant at research and advisory firm, Gartner, Inc.
The pivot tables are not created mechanically. In Microsoft excel the user should select the data first for which the pivot table should be created. The pivot table option is available on the insert tab. The user has the option of inserting the pivot table either in the existing sheet or creating the pivot table in the new sheet. Copy the link given below and paste it in new browser window to get more information on Pivot Table:- http://www.transtutors.com/homework-help/statistics/pivot-table.aspx
It is normal to be faced with so many assignments in the office set up. This demands that one is efficient with assignments. One of the skills that is very crucial, although least known is the power MS Excel This slide presents the basics of MS Excel. It attempts to give a wide overview that one needs to know about Excel. These slides presents the basic structure of Excel such as layout, functions, formulae, charts, et cetra.
This presentation shows how to use Microsoft Excel to analyze data. It covers basics, formulas, ranges, formatting, functions, charts, and pivots.
Examples are provided for more than 200 concepts introduced to users of MS Excel to enable them in analyzing and visualizing their data using this powerful and widely available tool.
Examples are also available in an MS Excel spreadsheet.
Please reach out to the author for a copy.
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Compu...Cengage Learning
Pivot Tables and Beyond Data Analysis in Excel 2013 - Course Technology Computing Conference
Presenter: Patrick Carey, Cengage Learning Author
Excel is sometimes called the most popular "database" in the world, not because it's a database but because it makes data so accessible that users often turn to spreadsheets for data entry. Yet for all that, Excel's tools for data analysis and modeling remain largely untapped by the average user. In this, pivot tables may be the most powerful and least utilized tool for data exploration. In this presentation we'll examine some of the new enhancements to pivot tables introduced in Excel 2013. We'll examine how to set up relationships using the Excel Data Model to summarize information across multiple data tables. And then we'll go beyond, exploring the data modeling and data visualizing tools provided by the PowerPivot and Power View add-ins, interpreting data not just numerically but through visual imagery, charts, and interactive maps.
Tableau online training and tableau desktop , tableau admin
tableau certification, tableau interview questions, tableau training institutes in hyderabad, tableau training institutes in Bangalore
Excel – is the world’s most widely used spreadsheet calculating program
It is used in many places like hospitals, hotels, school and companies etc.
A program that allows you to use data to forecast, manage, predict, and present information
Lets Just Go For It! Wish you an Awesome Leaning Experience.
Subscribe to our YouTube channel: https://www.youtube.com/c/TimesRide?sub_confirmation=1
Our Official Website: http://timesride.com
Follow us:
Facebook: https://www.facebook.com/rs.agrawal.9026
Instagram: https://www.instagram.com/timesridenetwork/
Twitter: https://twitter.com/TimesRide
Pinterest: https://in.pinterest.com/ride0472/
Thank You
#AwesomeLearningExperience
#SmartQuickTips&Tricks #LeaningVideos #TimesRide #Keep Learning to Keep Winning!
North Raleigh Rotarian Katie Turnbull gave a great presentation at our Friday morning extension meeting about data visualization. Katie is a consultant at research and advisory firm, Gartner, Inc.
The pivot tables are not created mechanically. In Microsoft excel the user should select the data first for which the pivot table should be created. The pivot table option is available on the insert tab. The user has the option of inserting the pivot table either in the existing sheet or creating the pivot table in the new sheet. Copy the link given below and paste it in new browser window to get more information on Pivot Table:- http://www.transtutors.com/homework-help/statistics/pivot-table.aspx
It is normal to be faced with so many assignments in the office set up. This demands that one is efficient with assignments. One of the skills that is very crucial, although least known is the power MS Excel This slide presents the basics of MS Excel. It attempts to give a wide overview that one needs to know about Excel. These slides presents the basic structure of Excel such as layout, functions, formulae, charts, et cetra.
The site present the assignment to the students in well- structured manner including all the information in the simplest form, so that students need not spend extra time and effort in completion of the assignment and along with these they can also gain all the content engraved in the brain.
MANAGEMENT OF DATABASE INFORMATION SYSTEM
Quering database
Queries are the fastest way to search for information in a database. A query is a database feature that enables the user to display records as well to perform calculations on fields from one or multiple tables.
You can analyze a table or tables by using:-
1. Select query or
2. An action query
Action query:-These are queries that are used to make changes in many records at once. They are mostly used to delete, update, add a group of records from one table to another, or create a new table from another table.
Types of action query in Microsoft Access are:-
1. Update-update data in a table.
2. Append query-add data in a table from one or more tables.
3. Make table Query-Creates a new table from a dynaset
4. Delete query-Delete specified records from one or more tables.
Select query
Is a type of query used for searching and analyzing data in one or more tables. It lets the user specify the search criteria and the records that meet those criteria displayed in a dynaset or analyzed depending on the user requirement.
Creating a selected query
1. Ensure that the database you want to create a query for is open
2. Click the query tab, then new
3. In the new query dialog box, choose either to create a query from in Designing view or using Wizard
4. To design from scratch, click design view. The show table dialo
ACTG Tableau intro labDownload the TableauLab file and look ov.docxnettletondevon
ACTG Tableau intro lab
Download the TableauLab file and look over the fields. These are the fields from the FoodiesNW file you’ll use for your individual dashboard project. I created this file by selecting all fields in all the files in Access, so there are duplicates. I also added some calculations fields to the file:
Ext Gross is the extension of price X quantity; Ext Net is the extension of price X quantity, net of discount
Open Tableau and connect to Excel data. Select the TableauLab file and drag the file to the location that says Drag Files Here. Select Extract in the upper right so that Tableau will make a copy of your data. Click on the tab at the bottom that says Sheet1 to begin your first visualization.
How much is your total sales for the past 3 years?
Move the ExtNet field to the center of the sheet (similar to the values area in a pivot table). Then move it to the Rows and Columns shelves to see what happens. Then click on the first icon in the show me area – it looks like a worksheet. That icon turns your graph back into a tabular format and moves the ExtNet field over to the Marks section and lables it as text.
SHEET 1: In which time period did you sell most?
Move the Order Date field to the Rows shelf and then to the Columns shelf. Click on various graph types on the right hand side to see what happens, and then return to a tabular format.
**To create a vertical bar chart, you may need to use the Swap Rows and Columns icon in the toolbar – it has a curved arrow.
**You can sort the fields in a graph from high to low, low to high, and back to the starting position, by clicking on the icon right next to the Ext Net label on your graph
In which quarter did you sell most? Month?
Click on the drop down menu on the Order Date field in the Columns shelf and select Quarter and then Month. View this data in charts and tabular format. Change it to a line graph.
** To zoom in and out on a part of the graph, double-click, or hold Shift and double-click. Or, click the table Icon, and then
Now move a second copy of the Order Date field to the Columns shelf, so that you have years first, and then quarters or months. Return to a bar graph. Does this change your perspective on yearly sales?
** Now filter out dates so that your range ends at the end of the last quarter, on 3/31/18 by moving a copy of the Order Date field to the Filters area and selecting Range of dates.
Double click on Sheet 1 and change its name to Sales by Quarter. Notice that the title above the graph changes too.
SHEET 2: Which product categories and products have you sold most of?
Click on the symbol next to the Sheet 1 tab to add another sheet. Move the Ext Net field to the Label icon in the Marks section. Then move Category Name to the Rows Shelf. Which is the most popular category?
How has that changed over the quarters? Filter the Order Dates so they end at 3/31/18. Move Order Date to the Columns shelf and select Quarter. Select the .
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
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Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Pivot table and Dashboard in microsoft excel
1. Pivot Table & Dashboard
using Microsoft Excel
Feb. 2, 2018
Frehiwot Mulugeta
frehiwotmulu@gmail.com
2. Objectives
To improve data visibility, data use and facilitate
data driven decision making
– To understand and create Pivot Tables
– To create interactive dashboard
3. Part 1 – Pivot Table
– Definition
– Overview components of a pivot
table
– Creating pivot table
– Introducing filters and slicers
– Formatting
4. Definition
PivotTables summarize and analyze large amounts of
data into summary reports.
nth) Name of Supervisour Supplying Hub Region Major/Emerging Zone W oreda Name of the Facility
Type of the Facility
(HO -Hospital &
HC - Health Center)
Implementation
model 1=Paper
based IPLS
2=HCMIS 3=Non-
IPLS
Dame Balcha Adama Oromia Major Bale Agarfa Ambentu HC 1
Yehun Telila Addis Ababa Amhara Major N/Shoa D/ Birhan Adm.TownAyer tena HC 1
Mesfin Arega Addis Ababa Addis ababa Major Kirkos Felege Hiwot HC 2
Abdulaziz Kedir Dire Dawa Oromia Major East HarargheBedeno Furda HC 1
Dame Balcha Adama Oromia Major Arsi Shirka Gobessa Ho 2
Mesfin Arega Addis Ababa Addis ababa Major Akaki Kality Kilinto HC 1
Abdulaziz Kedir Dire Dawa Oromia Major East HarargheGoro-Gutu Kobo Welteha HC 1
Abdulaziz Kedir Dire Dawa Oromia Major East HarargheGurewa Oromitu HC 1
Mesfin Arega Addis Ababa Addis ababa Major Akaki Kality Tuludimtu HC 1
Mesfin Arega Addis Ababa Addis ababa Major Lideta Abnet HC 2
Mesfin Arega Addis Ababa Addis ababa Major Addis Ketema5 Addis Ketema HC 2
Mesfin Arega Addis Ababa Addis ababa Major Addis Ketema7 Addis Raey HC 2
Mesfin Arega Addis Ababa Addis ababa Major Gulele 8 Addisu Gebeya HC 2
Redae Gebretsadik Mekele Tigray Major Easten Adigrate townAdigate HC 2
Redae Gebretsadik Mekele Tigray Major Easten Adigrate townAdigate GHP Ho 2
Habtamu Fantaye Mekele Tigray Major Southern Embalage Adishehu Ho 2
MengeshaBelay Dessie Amhara Major south wollo tenta Adjbar HC 2
Mesfin Arega Addis Ababa Addis ababa Major Kolfe 4 Alem Bank HC 2
Mesfin Arega Addis Ababa Addis ababa Major Bole 8 Amoraw HC 2
Number of the Facility supervised
HC Ho Grand Total
Emerging Region
Afar 29 4 33
Benshangul Gumuz 24 2 26
Gambella 16 16
Somali 31 5 36
Emerging Region Total 100 11 111
Major Region
Addis ababa 70 7 77
Amhara 141 38 179
Dire Dawa 15 2 17
Harari 1 1
Oromia 296 47 343
SNNP 135 31 166
Tigray 96 21 117
Major Region Total 753 147 900
Grand Total 853 158 1011
5. Pivot Table Advantages
Interactive: rearrange them by moving, adding, or
deleting fields
Easy to update: “refreshable” if the original
worksheet data changes
6. The data must be normalized :
◦ Must have tabular layout
◦ Every column must have column headings in
the first row.
7. Creating PivotTable
1. Click in the Excel table or select the range of data for the PivotTable
2. Click Insert tab > click the PivotTable button
3. Click the Select a table or range option button and verify the reference in
the Table/Range box
4. Choose where you want to place the pivot table
- To place on new sheet Click the New Worksheet option button/ It
directed to new sheet/
- click the Existing worksheet option button and specify a cell
5. Click the OK button
10. Adding a Report Filter to a PivotTable
A report filter allows you to focus on a subset of items in that field
11. Analyze Tab
• To add slicer
• To group fields
• To change the data source change
• To show & hide pivot table tab
• To refresh the data
• To create pivot chart
The ribbon for PivotTables
12. The ribbon for PivotTables
Design Tab
• To change the table style
• To include/ exclude sub total & grand total
• To change the report layout
13. Adding data slicer in PivotTable
• Data slicers help you filter & visualize the filtered summery report
• It makes the pivot table/chart interactive
click any cell in the pivot table > click Analyze > under Filter click insert slicer >
select the field u want to filter from insert slicer > ok
Adding data slicer steps
14. Slicer …
Formatting data slicer steps
Select the data slicer > click Option > under slicer styles > select the styles u want
Creating report connection
Select the data slicer > click Option > under slicer click report connection > select pivot
table & chart to connect to the filter > Ok
15. Format PivotTable
Good formatting will communicate your data better
Pivot table
◦ Style Formatting
◦ Reporting layout Formatting
Style Formatting steps
click any cell in the pivot table > click design > Pivot table Styles choose a style
Reporting layout Formatting
click any cell in the pivot table > click design > Layout > choose a layout
16. Format Fields/data
Number format
Right click the value on pivot table fields > click value field settings>
Number format Button > do the formatting and click ok
Or
Select the data inside the pivot table > home > Number > do the formatting
17. Grouping PivotTable Items
Automatically grouping dates in to months and years
For easy understanding
Reporting layout Formatting
click date > click Analyze > Group selection > click month & Year > ok
18. Refreshing a PivotTable
When you create a PivotTable, a copy of the data is stored in a
pivot cache. Any changes to the data won’t show up in the report
until you refresh the cache.
To refresh the data:
• Right-click the pivot table and click Refresh Data. Or
• Go to the Analyze tab, in the Data group, click the Refresh button
19. ◦ Why Visualization
◦ Chart types and their use
◦ Creating dashboards in excel
Part 2 – Visualization
20. For performance monitoring
To see trends over time
Advantages of visualization
It improves data use & data-driven decision
21. Chart type and their purpose
BAR CHART They are best used to show change over time, to compare different categories
HORIZONTAL BAR CHART
Best used to compare individual categories
COLUMN BAR CHART
useful for showing data changes over a
period of time or for illustrating
comparisons among individual items
Rules
1. Always start at zero y-axis
22. Chart type …
100% Stacked Bar ChartStacked Bar Chart
Best used to compare parts of a whole.
show the relationship to the whole, comparing
the contribution of each of individual items value
to a total across categories
% share of part from the whole
the percentage that each value
contributes to a total across categories
23. Chart type …
Line Charts
Line charts display continuous data over time and are
good for showing trends in data.
Areal Charts
Depicts a time-series relationship, but they are
different than line charts in that they can
represent volume.
• start y-axis at a zero baseline
• Don’t plot more than 4 lines in one graph
• Label lines to help quickly identify lines
-
50,000
100,000
150,000
200,000
250,000
Oct Nov Dec Oct Nov Dec
2016 2017
Measles Penta
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
Oct Nov Dec Oct Nov Dec
2016 2017
Measles woreda distribution
Measles Penta
24. Chart type …
This should be used to visualize a
correlation between two data sets.
Pie Chart
how categories represent part of a
whole -- the composition of something
• Make sure All data adds up to 100%.
• Don’t compare more than 6 things in one pie chart
Dual Axis/ combo Chart
25. Selecting the right Chart for your data
Purpose Chart Type
To compare one or many value sets column bar chart
line chart
Scatter Plot
To show distribution column bar chart
line chart
To understand the relationship between value sets Scatter Plot
Line
To show trends over time line chart
column bar chart
To show composition: how individual parts make up
the whole of something
pie chart
stacked bar chart
Area
26. Creating a PivotChart
A PivotChart is a graphical representation of the data in a PivotTable
A PivotChart allows you to interactively add, remove, filter, and refresh data fields
Click any cell in the PivotTable > Tools group > Pivot chart > All Chart > select appropriate chart
The bar chart is also useful when you want to compare values side by side, for example sales compared to forecast for different years, and when the measures (in this case sales and forecast) are calculated using the same unit.
stacking bars makes it easy to visualize grouped data.
A line chart connects discrete but continuous data points by using straight line segments. It is effective in facilitating trend analysis.
the relation of a single value to the total.
The combo chart is the best choice when combining several measures of different value ranges.
The scatter plot presents pairs of values from two measures. example, the relationship between Sales and Quantity per Customer.