#data analytics and research
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researchers-me · 9 months ago
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Data Analytics in Dubai: Transforming Industries with Insights
Explore how data analytics in Dubai is transforming industries like real estate, finance, and retail by providing actionable insights. Learn about its growing impact on business decisions and marketing strategies.
https://webyourself.eu/blogs/520055/Data-Analytics-in-Dubai-Transforming-Industries-with-Insights
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aimeelouart · 4 months ago
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Out of curiosity, do you ever call your supervisor(s) “Boss” and do you mean it affectionately or not? Because if I call one of my current/former supervisors “Boss” I mean it with the utmost affection.
Edit for clarity (thanks, comments!): I mean something like “You got it, Boss!” not “She is my boss.” Nickname rather than descriptor.
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bidotorg · 6 months ago
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It's #BiScienceFriday and today we're doing a deep-dive into some delicious data!
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stemgirlchic · 11 months ago
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data analysis is rly like
it's so over we're so back it's so over we're so back it's so over
i know, i know, negative results don't make my work any less valid but cmon please give me something
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valyrfia · 1 year ago
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you say the only thing tethering me to this sport is a ship and i vehemently agree with you while trying to shove the python pipeline i built for fun to compare past race telemetry under the table
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rise2research · 1 month ago
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Market Research: The Key to Informed Decision-Making
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Market research plays a vital role in today’s competitive business environment. Its core objective is simple yet powerful: to enable informed decision-making. By systematically gathering, analyzing, and interpreting data about consumers, competitors, and market trends, businesses can make strategic choices with greater confidence and clarity.
Informed decisions reduce guesswork and minimize risks. Whether launching a new product, entering a new market, or adjusting pricing strategies, market research provides the factual foundation required to align business actions with customer needs and market realities.
Ultimately, market research turns raw data into actionable insights. This empowers businesses not just to react to the market, but to proactively shape their future with well-grounded strategies.
Get a quote: data collection services in the UAE
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kabr0ztrousers · 3 months ago
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do you use ai for your writing? because why does your intermission read very differently from your other writing?
I don't use any AI, it's all my squashy brain-meat doing the work
I'm not sure why episode 89 would've came out much different than the others, though I remember being absolutely knackered when I was writing it 🤣
What do we think, was Episode 89: Intermission better, worse, about the same, or did you not notice a difference in quality?
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xlsdesignt · 9 months ago
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what u think, to much colour, or less?
https://sdesignt.threadless.com/
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about-mars · 2 days ago
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First steps: Frecquency analysis
On this following post, a python code is shown followed by come conclussions about the information gathered with it. The code used the imported module of pandas in order to conduct a frecquency analysis of the variables considered in the codebook made in the previous step of this research.
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The code shown above takes the information from a csv file that contains the data base made by the scientist Stuart James Robbins.
The steps for the making of the frecquency analysis were the following:
Extract all the data of the csv file into a pandas DataFrame.
Filter the data using the variable NUMBER_LAYERS in order to create another DataFrame that contains only the information of the craters that contains 1 or more layers.
Use the built-in pandas function value_counts(sort=False) to get the counts of a variable´s values in the form of a pandas Series.
Use the built-in pandas function value_counts(sort=False, normalize=True) to get the percentages of a variable's values in the form of a pandas Series.
Store the given information in the previous pair of steps into separated python variables for variables, counts and percentages.
Format the given data into console printable tables for each variable, each table contains the name of the variable analized, the values, and its counts and percentages per value.
For this database and for our interest variables (crater diameter, and ejecta morphologies) the reuslt of the frecquency analysis is the following:
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From the results we can start detecting some little things in the data.
For the variable DIAM_CIRCLE_IMAGE we can see that the best way to get some frequecy from it is by setting a range in where the craters diameters can be agrouped and then do a freqcuency analysis, because as it's shown in its results table, almost every crater varies in its exact diameter between each other, making this analysis practically unuseful.
In MORPHOLOGY_EJECTA_1 we can see some significant freqcuency distributions. At plain sight it can be proposed that most of the craters presents a single layer (this can be identified for the first letter of the values, S stands for single layer). Some of the values starting with a S reaches up to 20% in the frecquency analysis.
For MORPHOLOGY_EJECTA_2 we could propose that most of the ejecta blankets appears in THEMIS Daytime IR data as hummocky (first two letters of the value being 'Hu'). Also we can see that the type of ejecta blankets (debris distribution) we are interested the most in the research (Sp as the last two letters representing splash) are founded in a less frecquency conpared to other type of ejecta blankets.
In MORPHOLOGY_EJECTA_3 we can notice what type of variable it is, because this variable is used to describe only unique types of ejecta blankets that requires a separate clasification, thus why the majority of the values in this cariable is null. But one clasification we're fully interested in our research is the splash one, making this variable significant to this research.
Notes(Only MORPHOLOGY_EJECTA_3 is fully shown as the other 3 variables contains a lot of data and the post would be too large. The variable NUMBER_LAYERS is only used to filter data in the code, so no analysis for it is required).
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worldpharmatoday · 3 days ago
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MMS, an award-winning CRO, acquires Exploristics and KerusCloud to expand biostatistics & data science capabilities. latest pharma news today
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researchers-me · 10 months ago
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Unlock the power of data analytics in Abu Dhabi to transform your business strategy. Discover how data analytics for marketing, data analytics companies, and data-driven insights can drive success and innovation.
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philomathresearch · 4 months ago
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Breaking Myths: Decode Customers and Drive Business Decisions
Uncover the truth about customer research, learn to decode customer needs, and make smarter business decisions with data-driven insights. For more details visit here : https://www.philomathresearch.com/blog/2025/03/05/breaking-the-myths-of-customer-research-how-to-read-minds-and-drive-better-business-decisions/
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rise2research · 1 month ago
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Data Analytics Services
Data Collection and Insights
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digiavenir · 4 months ago
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"Unlock Insights, Power Innovation – Market Research & Global Smart Home Automation!" Visit Us: www.digiavenir.com Email : [email protected]
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leonbasinwriter · 4 months ago
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AI-Driven Cybersecurity: Protecting Education from Breaches
By Leon Basin | Alumnus, Santa Clara University Leavey School of Business | Bridging Academic Rigor & Real-World Cybersecurity Executive Summary 2025 Education Cyberattack Snapshot In 2025, 56% of U.S. school districts suffered cyber breaches—many stemming from compromised privileged accounts (K12 SIX). With K-12 breach costs averaging $4.45M per incident (IBM), institutions must act…
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tantrainsightsuae · 4 months ago
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Feasibility Study in Kochi: Unlocking Business Potential with Tantra Insights
Kochi, the commercial capital of Kerala, is an emerging business hub with immense potential for entrepreneurs and investors. However, launching a successful venture requires thorough planning and risk assessment. This is where a Feasibility Study in Kochi plays a crucial role. With Tantra Insights, businesses can make data-driven decisions, ensuring their ventures thrive in this dynamic market.
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