Visualizing the distribution of continuous variables

- Histograms show the count of observations per interval
Number of pages with a body text word count between 0 & 49, between 50 & 99, etc.

As a side effect, you get to see the shape of the distribution (normal, exponential, etc.), and where the observations are concentrated.

- ECDF shows the cumulative distribution of observations

#DataVisualization #plotly #adviz #Python

1/2

Day 82 of #100DaysOfCode

Released an update to the ecdf function

🔵 Add fuller docstring and parameter explanations
🔵 Choose a better marker (open circle) to cater for overlaps with larger datasets
🔵 Fix hover label formatting and text
🔵 Remove sparklines from histogram and clearer Y axis title

https://bit.ly/3VieUmQ

#SEO #SEM #DataScience #DataVisualization #advertools #adviz #Python

Day 80 of #100DaysOfCode
🟦🟦🟦🟦🟦🟦🟦🟦⬜⬜ 80%

New charts to visualize distributions (ecdf)

🔵 Histogram with an ecdf to show distribution and the cumulative distribution
🔵 Observations are hoverable
🔵 Get insights on each observation and where it fits in the sample (how many are less, greater, etc)
🔵 Split by URL segment or keyword category with one simple option

https://bit.ly/3VieUmQ

pip install --upgrade adviz

#SEO #SEM #DataScience #DataVisualization #Python #Plotly #adviz #advertools

Day 22 of #100DaysOfCode

Updated and migrated the Google SERP Dashboard + heatmap:

🔵 Hover to show ranking domains for each position
🔵 Use Dash Ag Grid for displaying and filtering raw data on the page (you can export of course)
🔵 Use all available parameters of the Google search API

https://bit.ly/3UgVAHC

#DataScience #SEO #SERP #Google #advertools #Python #adviz #plotly #aggrid #frontend #webdev

1/2

SERP Heatmap

Would it improve the heatmap if horizontal lines were added to show the average position for each domain?

Is red better or a more neutral gray color better?

How else can this be improved?

#DataVisualization #SEO #advertools #adviz #Python #Plotly #SERP

#advertools office hours episode 5
Tomorrow same time & place

Topic: AD(vertools) VIZ(ualizations): #adviz a new small package that has specialized charts for search (and many other uses).

What's available, how to use it, what's upcoming

https://bit.ly/adv-office-hours

#DataScience #DigitalMarketing #SEO #SEM #Python #DigitalAnalytics

Styling tables with #adviz

New function/chart:

🔵 Style columns as text, category, bar, or heatmap
🔵 Set table title, width, height
🔵 Set relative column widths
🔵 Hover to see long text
🔵 HTML file

https://bit.ly/style_table
#DataScience #DataVisualization #Python #Plotly

Country flags can make your charts/reports easier to read, & can give more space vs full country names.

Just released a simple new #adviz function flag() which converts a 2 or 3-letter country code or country name to its respective flag

python3 -m pip install --upgrade adviz

https://bit.ly/adviz-flag

#advertools #DataScience #DataVisualization #Python #plotly

The racing chart is also a way to see how content has progressed over time.

Here you can see how the top 20 topics have evolved in ForeignPolicy's website (XML sitemap URLs)

Interactive chart: https://bit.ly/3V48k2N

#DataScience #DataVisualization #Python #advertools #adviz #SEO #SEM #DigitalMarketing #DigitalAnalytics
#plotly

Do you like to watch keywords racing for the top positions in your data in an animated and interactive chart?

What about countries, URLs, products? Or any other entity measured by any metric across several periods of time?

The racing_chart* function is ready for testing if you want to try it out.

pip install --upgrade adviz

Docs
https://bit.ly/3H4xrgj

#DataScience #DataVisualization #Python #advertools #adviz #SEO #SEM #DigitalMarketing #DigitalAnalytics

*racing_chart: other/better names?