This article was published as a part of the Data Science Blogathon.
How can you ensure that the many lines of code you write meet the objective? The critical phases of analyzing data are after you have the dataset and before you set up the environment, to write codes. There is a science to what data we have access to and will it suffice to answer questions the business is seeking. That is a discussion for another time. Here we will focus on what happens once data is available.
An effort that is critical to the success of any analysis exercise is to organize thought.
This is the phase before we begin to set up the environment to run the codes. The analysis begins much before we start writing the code. The process begins with understanding the question. Map it against the libraries of Python, Mathematics, statistics, color, language. That is not a comprehensive but a good starting point.
Let’s understand this with an example.
“The learning curve is an upward sloping line with a positive delta”
That line will be understood differently by each reader here. Take a pause and note your thoughts. Think about what will be an appropriate visual description, other than words. You are welcome to share your thoughts with Analytics Vidya and the author even before you complete reading. you can write at [email protected].
There are many layers rolled up in that statement. Towards the end of the article, we will enlist them. Here we visit how we organize thought and the impact of color on visualizations.
A data set (or dataset) is a collection of data. In a more technical sense, data are a set of values of qualitative or quantitative variables about one or more persons or objects, while a datum (singular of data) is a single value of a single variable. [1]
Tabulating is the first step towards organizing thoughts. It is a representation of something along rows and columns. Tabulation works great for numbers. Markdown cells are a good way to tabulate verbal descriptions.
Let’s look at the underlying data. Tabulating and quantifying aid understanding.
The temptation as a data scientist would be to say: value 1 performance at 25. If your first reaction was; why, who said so, can we make any conclusion basis this? Well, congratulations you are on your way to be a data scientist!
Visualization is a visual description of thought. Nonverbal descriptions are graphs.
Be aware that visualization of a learning curve need not always be a line graph. Nor does it have to be upward sloping. Data Science encourages us to build. Share your thoughts on other visualization possibilities of the learning curve.
No matter how detailed the visualization is, if presented on a paper or screen it will be a 2-dimensional. Colour will add the third dimension.
Some of the simplest visualizations around our bar graphs. They are simple to decipher. They are simple also because they breed familiarity. Tally marks and bar graphs go back at least 10 years for most of us. Let us use Bar Graphs to understand color as a dimension.
The dominant features above can be presented as follows:
No matter how detailed the visualization is, if presented on a paper or screen it will be a 2-dimensional. All conversations will be between the x-axis and the y-axis. Colour will add the third dimension.
Preconceived notions and cultural influences add depth to data analysis. Data and Datum can be numbers, words, and expanding to be pictures and even voice. So everything that affects anything is data.
If you can organize thought, then you will be able to identify the variables. Each variable will be the heading of a column in the table. All readings together (if numeric) will be distributed. Data science will then become an exercise of understanding the interplay between variables.
Let’s enlist the various layers rolled up in the statement.
“The learning curve is an upward sloping line with a positive delta”.
In conclusion: organizing thought forms the bedrock of data analysis. Tabulation helps organize thought. Visualization will generate insights about variables. In the journey of data, scientists enlist as many layers. Explore the interplay between variables. Enjoy the journey! Share your thoughts with the author at
https://www.linkedin.com/in/priyanka-krishna-sharma/
and
10 Ideas that every Professional should avoid f...
Ultimate resource for understanding & crea...
Effective Data Visualization Techniques in Data...
The Key Concepts To Investigating Your Dataset
A Comprehensive Guide On Data Visualization In ...
8 Charts You Must Know To Excel In The Art of D...
5 Highly Recommended Skills / Tools to learn in...
Guide to Data Visualization with Python: Part 1
Beginning your Data Science Journey
How to Create Compelling Visualization?
We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.
Show details
This site uses cookies to ensure that you get the best experience possible. To learn more about how we use cookies, please refer to our Privacy Policy & Cookies Policy.
It is needed for personalizing the website.
Expiry: Session
Type: HTTP
This cookie is used to prevent Cross-site request forgery (often abbreviated as CSRF) attacks of the website
Expiry: Session
Type: HTTPS
Preserves the login/logout state of users across the whole site.
Expiry: Session
Type: HTTPS
Preserves users' states across page requests.
Expiry: Session
Type: HTTPS
Google One-Tap login adds this g_state cookie to set the user status on how they interact with the One-Tap modal.
Expiry: 365 days
Type: HTTP
Used by Microsoft Clarity, to store and track visits across websites.
Expiry: 1 Year
Type: HTTP
Used by Microsoft Clarity, Persists the Clarity User ID and preferences, unique to that site, on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.
Expiry: 1 Year
Type: HTTP
Used by Microsoft Clarity, Connects multiple page views by a user into a single Clarity session recording.
Expiry: 1 Day
Type: HTTP
Collects user data is specifically adapted to the user or device. The user can also be followed outside of the loaded website, creating a picture of the visitor's behavior.
Expiry: 2 Years
Type: HTTP
Use to measure the use of the website for internal analytics
Expiry: 1 Years
Type: HTTP
The cookie is set by embedded Microsoft Clarity scripts. The purpose of this cookie is for heatmap and session recording.
Expiry: 1 Year
Type: HTTP
Collected user data is specifically adapted to the user or device. The user can also be followed outside of the loaded website, creating a picture of the visitor's behavior.
Expiry: 2 Months
Type: HTTP
This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected includes the number of visitors, the source where they have come from, and the pages visited in an anonymous form.
Expiry: 399 Days
Type: HTTP
Used by Google Analytics, to store and count pageviews.
Expiry: 399 Days
Type: HTTP
Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.
Expiry: 1 Day
Type: HTTP
Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.
Expiry: Session
Type: PIXEL
cookies ensure that requests within a browsing session are made by the user, and not by other sites.
Expiry: 6 Months
Type: HTTP
use the cookie when customers want to make a referral from their gmail contacts; it helps auth the gmail account.
Expiry: 2 Years
Type: HTTP
This cookie is set by DoubleClick (which is owned by Google) to determine if the website visitor's browser supports cookies.
Expiry: 1 Year
Type: HTTP
this is used to send push notification using webengage.
Expiry: 1 Year
Type: HTTP
used by webenage to track auth of webenagage.
Expiry: Session
Type: HTTP
Linkedin sets this cookie to registers statistical data on users' behavior on the website for internal analytics.
Expiry: 1 Day
Type: HTTP
Use to maintain an anonymous user session by the server.
Expiry: 1 Year
Type: HTTP
Used as part of the LinkedIn Remember Me feature and is set when a user clicks Remember Me on the device to make it easier for him or her to sign in to that device.
Expiry: 1 Year
Type: HTTP
Used to store information about the time a sync with the lms_analytics cookie took place for users in the Designated Countries.
Expiry: 6 Months
Type: HTTP
Used to store information about the time a sync with the AnalyticsSyncHistory cookie took place for users in the Designated Countries.
Expiry: 6 Months
Type: HTTP
Cookie used for Sign-in with Linkedin and/or to allow for the Linkedin follow feature.
Expiry: 6 Months
Type: HTTP
allow for the Linkedin follow feature.
Expiry: 1 Year
Type: HTTP
often used to identify you, including your name, interests, and previous activity.
Expiry: 2 Months
Type: HTTP
Tracks the time that the previous page took to load
Expiry: Session
Type: HTTP
Used to remember a user's language setting to ensure LinkedIn.com displays in the language selected by the user in their settings
Expiry: Session
Type: HTTP
Tracks percent of page viewed
Expiry: Session
Type: HTTP
Indicates the start of a session for Adobe Experience Cloud
Expiry: Session
Type: HTTP
Provides page name value (URL) for use by Adobe Analytics
Expiry: Session
Type: HTTP
Used to retain and fetch time since last visit in Adobe Analytics
Expiry: 6 Months
Type: HTTP
Remembers a user's display preference/theme setting
Expiry: 6 Months
Type: HTTP
Remembers which users have updated their display / theme preferences
Expiry: 6 Months
Type: HTTP
Used by Google Adsense, to store and track conversions.
Expiry: 3 Months
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
These cookies are used for the purpose of targeted advertising.
Expiry: 6 Hours
Type: HTTP
These cookies are used for the purpose of targeted advertising.
Expiry: 1 Month
Type: HTTP
These cookies are used to gather website statistics, and track conversion rates.
Expiry: 1 Month
Type: HTTP
Aggregate analysis of website visitors
Expiry: 6 Months
Type: HTTP
This cookie is set by Facebook to deliver advertisements when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website.
Expiry: 4 Months
Type: HTTP
Contains a unique browser and user ID, used for targeted advertising.
Expiry: 2 Months
Type: HTTP
Used by LinkedIn to track the use of embedded services.
Expiry: 1 Year
Type: HTTP
Used by LinkedIn for tracking the use of embedded services.
Expiry: 1 Day
Type: HTTP
Used by LinkedIn to track the use of embedded services.
Expiry: 6 Months
Type: HTTP
Use these cookies to assign a unique ID when users visit a website.
Expiry: 6 Months
Type: HTTP
These cookies are set by LinkedIn for advertising purposes, including: tracking visitors so that more relevant ads can be presented, allowing users to use the 'Apply with LinkedIn' or the 'Sign-in with LinkedIn' functions, collecting information about how visitors use the site, etc.
Expiry: 6 Months
Type: HTTP
Used to make a probabilistic match of a user's identity outside the Designated Countries
Expiry: 90 Days
Type: HTTP
Used to collect information for analytics purposes.
Expiry: 1 year
Type: HTTP
Used to store session ID for a users session to ensure that clicks from adverts on the Bing search engine are verified for reporting purposes and for personalisation
Expiry: 1 Day
Type: HTTP
Cookie declaration last updated on 24/03/2023 by Analytics Vidhya.
Cookies are small text files that can be used by websites to make a user's experience more efficient. The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies, we need your permission. This site uses different types of cookies. Some cookies are placed by third-party services that appear on our pages. Learn more about who we are, how you can contact us, and how we process personal data in our Privacy Policy.
Edit
Resend OTP
Resend OTP in 45s
Very interesting and thought provoking blog. Probably adding a locational tag may add another dimension to the data set and take the learning curve much higher.
Very interesting
Good one priyanka!
It's worth a read for a novice too. Helps understand the basic and of course the writing is very crisp. Keep writing.