Brief Introduction to Tableau and Visual Analysis.

Tableau is a software visualization company which produces interactive data visualization products focused on business intelligence.

It allows the customers to spend more time on data analysis and less on data wrangling.

Components of Tableau

Tableau Architecture

It operates in three segments

1. Data Sources
2. Tableau Server
3. Tableau Desktop and the clients.

Tableau Desktop UI

How Tableau considers database?

Data source in Tableau, the columns get divided into dimensions and measures.

A Dimension is a field that is an independent variable.

Eg-(text, geographical data, date)

A Measure is a field that is dependent variables and its value is a function of one or more variable.(numbers, figures or float values).

Using Dimensions and measure one can create different types of charts .Tableau supports 24 types of charts.

#tableau-training #tableau-consulting #data-analysis

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10 Writing steps to create a good project brief - Mobile app development

Developing a mobile application can often be more challenging than it seems at first glance. Whether you’re a developer, UI designer, project lead or CEO of a mobile-based startup, writing good project briefs prior to development is pivotal. According to Tech Jury, 87% of smartphone users spend time exclusively on mobile apps, with 18-24-year-olds spending 66% of total digital time on mobile apps. Of that, 89% of the time is spent on just 18 apps depending on individual users’ preferences, making proper app planning crucial for success.

Today’s audiences know what they want and don’t want in their mobile apps, encouraging teams to carefully write their project plans before they approach development. But how do you properly write a mobile app development brief without sacrificing your vision and staying within the initial budget? Why should you do so in the first place? Let’s discuss that and more in greater detail.

Why a Good Mobile App Project Brief Matters?

It’s worth discussing the significance of mobile app project briefs before we tackle the writing process itself. In practice, a project brief is used as a reference tool for developers to remain focused on the client’s deliverables. Approaching the development process without written and approved documentation can lead to drastic, last-minute changes, misunderstanding, as well as a loss of resources and brand reputation.

For example, developing a mobile app that filters restaurants based on food type, such as Happy Cow, means that developers should stay focused on it. Knowing that such and such features, UI elements, and API are necessary will help team members collaborate better in order to meet certain expectations. Whether you develop an app under your brand’s banner or outsource coding and design services to would-be clients, briefs can provide you with several benefits:

• Clarity on what your mobile app project “is” and “isn’t” early in development
• Point of reference for developers, project leads, and clients throughout the cycle
• Smart allocation of available time and resources based on objective development criteria
• Streamlined project data storage for further app updates and iterations

Writing Steps to Create a Good Mobile App Project Brief

1. Establish the “You” Behind the App

Depending on how “open” your project is to the public, you will want to write a detailed section about who the developers are. Elements such as company name, address, project lead, project title, as well as contact information, should be included in this introductory segment. Regardless of whether you build an in-house app or outsource developers to a client, this section is used for easy document storage and access.

#android app #ios app #minimum viable product (mvp) #mobile app development #web development #how do you write a project design #how to write a brief #how to write a project summary #how to write project summary #program brief example #project brief #project brief example #project brief template #project proposal brief #simple project brief template

Brief Introduction to Tableau and Visual Analysis.

Tableau is a software visualization company which produces interactive data visualization products focused on business intelligence.

It allows the customers to spend more time on data analysis and less on data wrangling.

Components of Tableau

Tableau Architecture

It operates in three segments

1. Data Sources
2. Tableau Server
3. Tableau Desktop and the clients.

Tableau Desktop UI

How Tableau considers database?

Data source in Tableau, the columns get divided into dimensions and measures.

A Dimension is a field that is an independent variable.

Eg-(text, geographical data, date)

A Measure is a field that is dependent variables and its value is a function of one or more variable.(numbers, figures or float values).

Using Dimensions and measure one can create different types of charts .Tableau supports 24 types of charts.

#tableau-training #tableau-consulting #data-analysis

Tableau Data Analysis Tips and Tricks

Tableau is one of the most powerful and popular Data Analysis Tool. Tableau holds almost 14% market of Business Analysis software industries with highest satisfied customer base.

This is one of Tableau Tips and Trick Series, Where I will tell you some of the timesaving shortcuts for data analysis.

I have a few tricks and tips that every tableau user can apply to make their analysis much faster and efficient. So let’s get started.

Tableau Tricks and Shortcuts

Copy and Paste

It is an amazing tool that allows you to just copy your data and paste it for much faster analysis. (Windows: Ctrl + C for Copy, Ctrl + V for Paste) (Mac: Command + C for Copy, Command + V for Paste)

Drag and Drop

Tableau allows drag and drops feature to flat files for Tableau data extracts connections.

Quick Aggregation

Right-click when dragging the measures/dimensions for analysis into the view for quick aggregation options.

Analyze-Reuse-Repeat

To repeat and reuse a measure that already exists in the display, keep down the CTRL key (Command for Mac) when moving it.

Denominators

Tableau is a powerful and intelligent tool where instead of typing Zeros in large numbers (Thousands or Millions), we can use denominators K and M(K-Thousands, M-Millions).

Zoom-in Shortcut

Use “Ctrl+Shift+Area Selection” to zoom in quickly and easily while looking into huge time data.

Measures Swapping

For swapping the measures in view follow these steps: “Analysis(Menu Bar)” — “Cycle fields”.

Initial Dashboard

Use the “ESC” key to remove all the filters applied on the Analytics Dashboard to revert it Initial State.

Format Dashboard

Menu bar → “Format” → “Format Dashboard” to Change and Titles and Text in the Dashboard

Tips:

Steal it like a Pro

Tableau has a huge community where thousands of analysis enthusiasts answer questions and publish their own dashboard to the public for reference and use. Making a dashboard from scratch requires a lot of time and tons of creativity but if we are able to align our data with publicly available dashboards then our work is reduced to half.

I recommend taking look into it. Choose the one dashboard you like and try to align your analytical data in a creative manner.

#data-analysis #data-analytics #business-analysis #tableau #data-science #data analysis

The Roots of Visual Data Analysis

Did you actually know that the first idea to present data in a visual form dates back to the 17th century? (I am always amazed when I see how some modern hypes are rooted in long-existing ideas)

While the world is drowning in data, with 2.5 quintillion bytes produced daily, while organisations are competing to employ the best talents to draw data insights and the data engineers are working hard to outsmart these requirements, there was a point in time when the only way to structure and understand data was reading tables on pieces of paper.

It only became possible to present statistical data in a visual form after the French mathematician Rene Dekart invented a two-dimensional coordinate system for displaying values in the 17th century. Later on, a Scottish man William Playfair pioneered with the line charts, bar charts and pie charts to present financial and statistical economic data.

_“I confess I was very anxious to find out if I was actually the first who applied the principles of geometry to matters of finance, as it had long before been applied to chronology with great success.” — _William Playfair, Lineal Arithemtic, 1798

In the picture below you can find a simple line chart, which he used to argue against England’s policy of financing colonial wars.

William Playfair, public domain

Now, the exciting part about this graph, is indeed the speed and precision with which you can identify the trend of growing debt.

#data-analysis #design #tableau #data-visualization #visual studio code

Stolen Bike Visual Analysis using Tableau

In this case study, we will see some interesting visual solutions for the questions we could make out from the “Stolen Bikes” data set.

Here, I have used “Tableau” for working out my visualizations and let us see how easy and visually appealing these charts and graphs be. The figures used in this blog are static as they are the snapshots taken from the tableau. At the end of this article, I have given the link to my tableau public where I have published this visualization where it is interactive to use.

A brief summary of the dataset used:

The dataset used here is for the stolen bikes in the United Kingdom from 2014 and 2017. It contains the column names such as “Crime ID”, “Crime Type”, “Falls within”(i.e the police station jurisdiction) , “Last outcome category”(i.e the status of the case), and “Location”.

#tableau #data #data-science #data-analysis #data-visualization