mask(X, Y) — Null-out elements matching a boolean condition! 🎭 Elements where condition is true become NULL — perfect for outlier suppression without a full WHERE clause. #DolphinDB #DataCleaning #VectorOps #DataPrep

matrix(X1, [X2], ...) — Build matrices from vectors or tables! 🗃️ Three modes: combine vectors column-by-column; pre-allocate with matrix(dataType, rows, cols); or convert an equal-length array vector directly. #DolphinDB #Matrix #VectorOps #DataPrep

Last week, part of the Biuwer team attended #DES2026 in Málaga. Great conversations with tech companies, innovation teams and digital leaders. We were especially happy to see the interest in Dataprep, our upcoming product for data integration, ETL and workflow automation.

If you are attending #KSCOPE26 and interested in effective and efficient data preparation for #AI using #SQL and #PLSQL with #oracle, please join me in room Red Rock 7 at 9:10AM. #database #dataprep #oracleace

nunique(X, [ignoreNull=false]) — Count distinct values instantly! 🔍 Counts unique values including NULLs by default. ignoreNull=true excludes them. Pass a tuple for composite cardinality: nunique([id, val]) counts unique pairs. #DolphinDB #DataPrep #Analytics #SQL

nullFill(X, Y) — Replace NULL values without mutating the original! 🛡️ nullFill(x, 0) returns a new object — the original is untouched. Pass a same-length vector as Y for position-matched fills. For in-place filling, use nullFill!. #DolphinDB #DataCleaning #DataPrep #ETL

mcount(X, window, [minPeriods=1]) — Count non-NULL values per rolling window! 🔢 mcount(x, 3) returns valid element count at each position. Pair with mavg/mstd to check data density before calculations. #DolphinDB #DataPrep #DataCleaning #TimeSeries

mavg(X, window|weights, [minPeriods]) — Rolling mean or weighted MA! 📉 window (int) → simple rolling mean. weights vector → custom WMA. minPeriods sets minimum valid observations required before output is emitted. #DolphinDB #TimeSeries #Quantitative #DataPrep

gmd5(X) — Global MD5 hash across all elements! 🔐 Unlike md5, gmd5 flattens tuples and array vectors first — so identical data always yields the same fingerprint. Great for deduplication and integrity checks. #DolphinDB #DataPrep

can't get this dataprep flow to work ... fml #NewReactionPic #MakingThisAThing

Iteration is the soul of creation. Most tools treat data like a final snapshot, but we see it as a living canvas. The new 'Edit Media' button (FBF-58) is officially live on FeatureBoard by Lewis Valentine, our proprietary data prep and agent management dashboard. Manage your data, control your context, manage your workflows, and unlock the power of AI today. License today. This update unlocks infinite recursive refinements, moving us beyond static reporting into a workflow where we iterate on ideas like an artist painting an artist painting a landscape. By integrating with OpenClaw, we’ve paired recursive link intelligence with automated sub-task orchestration. We’re building a fractal of productivity that evolves with your input. 🦞💻 #FeatureBoard #OpenClaw #BuildInPublic #RecursiveDesign #Iteration #DataPrep

PARTE DE DATAPREP CONCLUIDA gracas adeus eu nao aguentava mais varios exemplos com codigo amo !!!! se alguem sentir falta de algo q eu eqsueci me falem queeu adiciono

voltei na regressão logistica deixei por ultimo pq acho um saco explicar hj acabo e começo redes neurais tb quero terminar a tabela de dataprep pra cada modelo, aí de material complementar só vai faltar as principais funções de pandas e sql

e o pdf chegou a 70 paginas 🎉 ainda faltam algumas coisinhas, como a parte de dataprep inteira, SVM, agrupamento hierarquico, uma parte de regressao logistica, GMM e alguns aprofundamentos práticos (mostrando como faz o import e tal) acho que chega a 100 paginas kk vamo ve

parte teorica de dbscan ok amanha termino o codigo pra deixar la no final, termino aprendizado não supervisionado e começo a fazer as tabelas comparativas dos modelos o plano é ter mini resumos no começo comparando dataprep, sensibilidades, essas coisas que normalmente perguntam

Parte de k-means feita com direito a demonstraçãozinha e tudo amo! deu um trabalho fazer esses numeros baterem kkkkkkkkkkkkkkkkkkkkkk tomara que esteja correto pq assim vai ficar 💞 se sentirem falta de algo me avisem, a parte prática e de dataprep vai ficar apartada

Parte de árvore de decisão do pdf de ciência de dados NASCENDOOOO 🎉🎉🎉 falta a parte de dataprep, os principais hiperparâmetros, técnicas de podagem e a parte prática (onde eu vou explicar como ler uma árvore de decisão de classificação e regressão gerada por código)

Day 5 of 4th sem -leetcode POTD -unstop POTD -DSA: DP -GCP labs: Intro to Vault, Cloud Run functions and DataPrep -college project of a project management website: setup db connect jwt (coded it on my own and felt good, 1st year me could never) Hours: 11 (holiday today)

Data Cleaning and Exploration with Machine Learning: amzn.to/3SYyj9Z v/ @PacktDataML The book's GitHub code repository: github.com/PacktPublishing/D… —————— #DataLiteracy #DataStrategy #Analytics #DataScience #MachineLearning #AI #ML #DataPrep #DataWrangling #DataScientist

This course is your gateway to the exciting world of AI: DataPrep for H2O Driverless AI. imp.i384100.net/c/6457882/12… #AD #Courses #Tech