Tableau Prep is a tool for preparing data for analysis in Tableau. It allows users to connect to various data sources, combine and clean the data through a visual flow process. Key features include connecting to multiple data sources, using steps to filter, pivot, join and clean data, tracking changes, and applying operations to entire datasets. The document provides examples of using Tableau Prep to clean data from multiple files by adding/removing fields, standardizing date formats, handling missing values, and merging datasets.
What are Parameters in Tableau | Tableau Tutorial | EdurekaEdureka!
YouTube Link: https://youtu.be/hvWkGP6yvek
**Tableau Certification Training: https://www.edureka.co/tableau-training **
This Edureka PPT on "Parameters in Tableau" allows you to use aggregated values that aren’t available in your data and incorporate these values into your reports. Learn how to create and control the input to see the results of the effect of the parameter on your data.
The following are the topics covered in the session:
What are the Parameters in Tableau?
Getting Started on the Desktop
Creating a Parameter in Tableau
Using the Parameter in a Calculation
Parameter Control
Using Parameters in your Visualization
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Tableau Tutorial For Beginners | Tableau Training For Beginners | Tableau Cer...Edureka!
This Edureka Tableau Tutorial (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. This Tableau Tutorial is ideal for both beginners as well as professionals who want to master up their Tableau concepts.
This Edureka Tableau Tutorial provides knowledge on what Business Intelligence is and get an introduction to Tableau as well.This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.
What are Parameters in Tableau | Tableau Tutorial | EdurekaEdureka!
YouTube Link: https://youtu.be/hvWkGP6yvek
**Tableau Certification Training: https://www.edureka.co/tableau-training **
This Edureka PPT on "Parameters in Tableau" allows you to use aggregated values that aren’t available in your data and incorporate these values into your reports. Learn how to create and control the input to see the results of the effect of the parameter on your data.
The following are the topics covered in the session:
What are the Parameters in Tableau?
Getting Started on the Desktop
Creating a Parameter in Tableau
Using the Parameter in a Calculation
Parameter Control
Using Parameters in your Visualization
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Tableau Tutorial For Beginners | Tableau Training For Beginners | Tableau Cer...Edureka!
This Edureka Tableau Tutorial (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. This Tableau Tutorial is ideal for both beginners as well as professionals who want to master up their Tableau concepts.
This Edureka Tableau Tutorial provides knowledge on what Business Intelligence is and get an introduction to Tableau as well.This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.
Tableau online training and tableau desktop training by United Trainings.
http://unitedtrainings.com/tableau-online-training/
Whatsapp / call :- +91 - 9100 77 3003/2 ,
Email: info@unitedtrainings.com
Tableau training chicago,
Tableau online training,
Tableau training in hyderabad,
Tableau training in bangalore,
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Tableau developer training,
Tableau interview questions,
Tableau certification,
Tableau training material,
Tableau training chennai,
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Qlikview online training,
Qlikview training videos,
Qlikview designer training
Creating different calculated fields in Tableau.
Data set link : https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/India_Life_Expectancy.xlsx
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
Tableau online training and tableau desktop , tableau admin
tableau certification, tableau interview questions, tableau training institutes in hyderabad, tableau training institutes in Bangalore
As a leading data visualization tool Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases together easily. It does not need any complex scripting. Anyone who understands the business problem can address it with a visualization of the relevant data. When the analysis is finished, sharing with others is as easy as publishing to Tableau Server.
This presentation educates you about Tableau - File Types, list of description of each file type are Tableau Workbook, Tableau Packaged Workbook, Tableau Data Source, Tableau Packaged Data source, Tableau Data Extract, Tableau Bookmark and Tableau Preferences.
For more topics stay tuned with Learnbay.
Tableau Training For Beginners | Tableau Tutorial | Tableau Dashboard | EdurekaEdureka!
This Edureka Tableau Training for beginners (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. It provides knowledge on what Business Intelligence is and get an introduction to Tableau as well. This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.
Tableau Dashboard Tutorial | Tableau Training For Beginners | Tableau Tutoria...Edureka!
This Edureka Tableau Dashboard Tutorial (Tableau Dashboard Blog: https://goo.gl/Wx2ef9) helps you understand how to make visualizations and create a Tableau Dashboard. The entire demo gets carried out with a IPL Dataset to help you understand the concepts in a fun and easy way.
Tableau online training and tableau desktop training by United Trainings.
http://unitedtrainings.com/tableau-online-training/
Whatsapp / call :- +91 - 9100 77 3003/2 ,
Email: info@unitedtrainings.com
Tableau training chicago,
Tableau online training,
Tableau training in hyderabad,
Tableau training in bangalore,
Tableau training online,
Tableau online course,
Tableau developer training,
Tableau interview questions,
Tableau certification,
Tableau training material,
Tableau training chennai,
Tableau training pune,
Qlikview online training,
Qlikview training videos,
Qlikview designer training
Creating different calculated fields in Tableau.
Data set link : https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/India_Life_Expectancy.xlsx
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
Tableau online training and tableau desktop , tableau admin
tableau certification, tableau interview questions, tableau training institutes in hyderabad, tableau training institutes in Bangalore
As a leading data visualization tool Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases together easily. It does not need any complex scripting. Anyone who understands the business problem can address it with a visualization of the relevant data. When the analysis is finished, sharing with others is as easy as publishing to Tableau Server.
This presentation educates you about Tableau - File Types, list of description of each file type are Tableau Workbook, Tableau Packaged Workbook, Tableau Data Source, Tableau Packaged Data source, Tableau Data Extract, Tableau Bookmark and Tableau Preferences.
For more topics stay tuned with Learnbay.
Tableau Training For Beginners | Tableau Tutorial | Tableau Dashboard | EdurekaEdureka!
This Edureka Tableau Training for beginners (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. It provides knowledge on what Business Intelligence is and get an introduction to Tableau as well. This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.
Tableau Dashboard Tutorial | Tableau Training For Beginners | Tableau Tutoria...Edureka!
This Edureka Tableau Dashboard Tutorial (Tableau Dashboard Blog: https://goo.gl/Wx2ef9) helps you understand how to make visualizations and create a Tableau Dashboard. The entire demo gets carried out with a IPL Dataset to help you understand the concepts in a fun and easy way.
From this power point you can get the details about Advanced Filter, Use of Macros with Advanced Filter, Data Validation, Creation of data validation Drop-Down List, Handling of External Data, Goal Seek, What-if analysis,
Through my task, I learned about how to work with the Google Sheet. This task covers data extraction, number formatting, conditional formatting, how to remove duplicate data, and data validation. The data presents the sales and consumer segment of office supplies, furniture, and technology in the United States.
You can enter data into Calc in several ways: using the keyboard, the mouse [dragging and dropping], the Fill tool, and selection lists. Calc also provides the ability to enter information into multiple sheets of the same document at the same time.
After entering data, you can format and display it in various ways.
Formatting data
Creating a chart
Formatting 3D charts
Formatting the chart elements
Gallery of chart types
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. Tableau prep
• Tableau Prep Builder is a tool in the Tableau product suite designed to
make preparing your data easy and intuitive. Use Tableau Prep Builder
to combine, shape, and clean your data for analysis in Tableau.
• Start by connecting to your data from a variety of files, servers, or
Tableau extracts. Connect to and combine data from multiple data
sources. Drag and drop or double-click to bring your tables into the
flow pane, and then add flow steps where you can then use familiar
operations such as filter, split, rename, pivot, join, union and more to
clean and shape your data.
3. • Each step in the process is represented visually in a flow chart that you
create and control. Tableau Prep tracks each operation so that you can
check your work and make changes at any point in the flow.
• When you are finished with your flow, run it to apply the operations to
the entire data set.
5. • Go to the > Connections + -> Text File (Any type of file).
• Choose the file Orders_South 2015 (for the given example) -> open
• It will be loaded into the tableau as shown in the next slide.
• The first option is connections that shows the file that we have
loaded into the tableau prep.
• Below that, there is a table option that shows the tables available in
the file that we have uploaded.
• Then in the top right (white area with a flow chart) is known as flow
area that shows how the data flow is going on.
6.
7. • Below flow area different options are there such as Input, connection,
text options, field separator, etc.
• Table like structure in the bottom right is the information about the
dataset that we have loaded such as column names, datatype, sample
data, etc.
• Check boxes are given in that table where we can uncheck any box for
the column that we don’t want for our analysis.
• Type specifies the type of data stored in the table.
• Field name is the name of the column that we can change according
to our requirement. Eg: Sales to sale for our data
8. • Original Field name is the name of the column in the actual dataset
that will remain same.
• Changes represent if any changes made into the data.
• Preview is some sample data given.
• There is one another option i.e., Filter values with the help of which
we can apply filter to the data.
• When we will click on the filter values option, we will get one window
(shown in the next slide) where we need to mention the logic or
condition based on which we want to filter out our data.
• Eg:- We only want to display the data of First-Class Ship Mode
9.
10. • Add a formula [Ship Mode]='first class’ into the window and click on
apply.
• We can also remove/edit the filter applied to our data by right clicking
11. • Under input, there are certain options like settings, multiple files,
data sample, changes.
• Multiple files is the option with the help of which we can join multiple
files.
• Data sample is the option that help us to choose how many rows we
want to use.
• Changes is the tab that shows the changes that we made to our data.
12. • We can even add new files to the existing area by dragging from the
folder to the flow area.
13. • In the orders_south table, there are the two columns order date and ship
date. But in orders_central there are 6 columns that are representing order
day, month, year and ship day, month and year. So, this is the problem.
• In the orders_south, region column is there. But in orders_central, region
column is not there. This is also the problem.
• In the orders_central table, order date, ship date and regions, all these
columns are available. But when scrolling down through the columns, there
are duplicate columns with a prefix Right. To remove these duplicate
columns, just check the check box in front of them. And the value given for
the state is AZ, not the full name just like in other tables.
14. • In the orders_East, there is a prefix (USD) with the values of Sales
column. But in other tables no such prefix is there. So, we need to
remove all these problems from our dataset as a part of cleaning.
15. Cleaning using
Tableau Prep
• Go to the orders_central
table in the flow area, click on
the + and choose clean step.
• We will get the output as
shown in the picture that is
showing the data
distribution. Eg: Most of the
orders are from standard
class and many more.
• In the orders_central table,
no region column is there. So,
this is the first step of our
cleaning process.
16. • There are 3 dots (…) available
after rename fields option.
Click on it to add a new field.
• Then give Region as a field
name and write “Central” in
the formula section and click
on Apply and Save.
• A new column has been
added to our data now with a
name Region and value
Central as shown in the
picture on the next slide.
18. • Second issue with the orders_central is missing order date and ship
date column. For this again we will add a new calculated field.
• Enter the details as Order Date as a field name and formula as
MAKEDATE([Order Year],[Order Month],[Order Day]) and click on
apply and save.
• New field with a name Order Date has been added into the data as
shown in the picture on the next slide.
• Similarly add a new field ship date with a formula MAKEDATE([Ship
Year],[Ship Month],[Ship Day]).
20. • As we have now ship date
and order date, so we do not
need separate fields such as
order month, year etc. To
remove them, just go that
field and click on 3 dots and
then remove.
• Apply the same procedure to
remove ship date, month and
year from the dataset.
• All the changes that we are
making is not in the original
dataset.
21. • For ship date and order date,
we are getting summary
information not the detailed
information. For this click on
the 3 dots and choose detail.
22. • There is one another issue in the orders_central table that there is a
discount column which is of type abc and one value is None. But if no
discount is there it must be 0. So, to do this, double click on none and
type 0. And to change the datatype, click on abc and choose number.
• We can see all the changes that we have made on the next slide.
• If we want, we can also assign a new name to the 1st clean step by
just double clicking clean 1 and enter a new name as “Fixing date and
discount”.
23.
24. Removal of 1st
Problem in
Orders_East
• The problem in this table is
there is USD written with the
sales value. So, for this go to
the sales field and click on 3
dots and then choose clean
and then remove letters. It
will automatically remove
USD from the sales.
• After that convert the
datatype to the decimal
number.
• Now orders_east is fine.
25. Removal of 1st
problem in
Orders_West
• Problem in this table is the
state name. So to do this, go
to state column -> click on 3
dots -> group values ->
manual selection.
• Then enter the state names
one by one and press enter.
• After changing all the state
names, click on done.
26.
27. Union of two files
• To perform the union of west and east dataset, drag the cleaning box
of west on to the cleaning step of east. New step will be added that
represents the union.
• Similarly, drag cleaning step of central and drop it on the union made
by east and west.
• At last, drag south data and drop it on the union box created earlier.
• The structure created is represented on the next slide.
• As shown in the picture, in the left side there is mismatched fields
column that is representing all the mismatched columns from the
union of 4 tables.
28.
29. • Click on the checkbox of show only mismatched fields and we will
only get those fields.
• Drag Discounts field on the Discount to merge these two and drag
Product to Product Name.
• There are no mismatched fields left as shown in the picture on the
next slide.
30.
31. • Now add new file, go to + -> Excel file -> Return Reasons_New.