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Elizabeth Sramek
Written by
Elizabeth Sramek

Elizabeth Sramek is an independent advisor on search visibility and demand architecture for B2B companies operating in high-competition markets. Based in Prague and working globally, she specializes in designing search presence for AI-mediated discovery and building category visibility that survives algorithmic shifts.

Articles
Automated Data Analysis · 21 Oct 2026

How to add hover labels to a scatterplot in Plotly (with Code)

Pass hover_name to choose a tooltip heading and hover_data to include or format additional columns in a Plotly Express scatterplot.

Automated Data Analysis · 20 Oct 2026

How to plot a regression line with a stated uncertainty interval in Seaborn (with Code)

Set ci=95 in sns.regplot to draw a 95% bootstrap confidence band around the fitted regression estimate.

Automated Data Analysis · 20 Oct 2026

LinkedIn Hashtag Research and Analytics Tool: How to Find High-Impact Hashtags That Actually Grow Your Reach

LinkedIn hashtag research uses hashtag following to distribute content. 3–5 highly relevant hashtags per post outperforms both none and many. Research method: define content pillars, generate candidate hashtags, evaluate follower quality and relevance, test systematically with A/B principles.

Automated Data Analysis · 20 Oct 2026

How to draw paired observations with a point plot in Seaborn (with Code)

Map each subject identifier to hue in sns.pointplot and set errorbar=None to connect that subject's observed values across conditions.

Automated Data Analysis · 20 Oct 2026

How to order categorical levels in a bar plot in Seaborn (with Code)

Pass an explicit list to the order argument of sns.barplot to set the displayed category sequence.

Automated Data Analysis · 19 Oct 2026

How to plot a box plot without hiding observations in Seaborn (with Code)

Draw a Seaborn boxplot and overlay a stripplot using the same data and category order.

AI Tools · 19 Oct 2026

AI Analytics: Engineering, Architecture, Intent, Semantic Layers & NL2SQL

AI analytics replaces passive dashboard monitoring with autonomous, agentic systems that diagnose anomalies, translate natural language into verified SQL, and trigger downstream actions without human intervention.…

Automated Data Analysis · 19 Oct 2026

How to compare distributions with an empirical cumulative distribution plot in Seaborn (with Code)

Use sns.ecdfplot with a numeric x column and hue for the groups you want to compare.

Automated Data Analysis · 18 Oct 2026

How to draw a diverging image with a zero-centered normalization in Matplotlib (with Code)

Pass TwoSlopeNorm(vmin=..., vcenter=0, vmax=...) as the norm of imshow with a diverging colormap.

Automated Data Analysis · 17 Oct 2026

Data Science Fellowships in 2026: The Complete Guide to Programmes That Actually Launch Careers

Data science fellowships are intensive 12–20 week career-switching programmes focused on job placement. Best for career switchers with quantitative backgrounds. Key evaluation criteria: transparent placement rates with denominators, real industry projects, mentor access, and financing model (ISA vs. deferred tuition vs. upfront).

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