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I will fix 404, structure data, breadcrumbs and coverage error on shopify store
I am offering the following services:
Title Tag Fix XML site map Fix NoIndex Error Fix 404 errors Fix Schema (Structure Data) Fix Google Coverage Errors Fix Google Breadcrumbs No HTTPS security Missing Alt Tags Not mobile-friendly robot txt cache and cookies I will setup XML site map (HTML, php Sitemap) Find 404 errors and solve
https://www.fiverr.com/share/9zB65E
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Have you ever heard the terms #Schema Markup or #StructureData in #SEO ? #Schemamarkup creates enhanced descriptions that appear on search results that boost Your #Website SEO Explore more about the #microdata : https://www.scopehosts.com/blog/boost-your-website-seo-using-schema-markup-microdata https://www.instagram.com/p/B-6G9ytAX1a/?igshid=9hdwuqqf0gf1
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Resharing How to Implement Job Posting Schema in WordPress without a Plugin Article Link https://www.linkedin.com/pulse/how-implement-job-posting-schema-wordpress-without-plugin-junaid/ #schema #wordpress #richsnippet#richsnippets #structuredata#googlesearchconsole #googlesearch#googleseo #seo #job #jobposting#jobpostingsite #filectory https://www.instagram.com/p/BzLGZOclshd/?igshid=16dhyep98lrkn
#schema#wordpress#richsnippet#richsnippets#structuredata#googlesearchconsole#googlesearch#googleseo#seo#job#jobposting#jobpostingsite#filectory
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why Schema markup important for seo?
If you want to know, read carefully
Here, 6 benefits of Schema Markup for SEO
Search Engines Better Understand Your Content Stand out in Search with Rich Results Control How Your Brand Appears in Search Drive Business Results Be AI Search Ready Delight Your Customers with Answers
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To beat the competition and stand ahead, you need to improve your local SEO; and for this, you need the help of structured data and the Schema org code. https://goo.gl/YzjtC7
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How to Convert Struct type to Columns in Spark
How to Convert Struct type to Columns in Spark
I have a Spark DataFrame with StructType and would like to convert it to Columns, could you please explain how to do it? Converting Struct type to columns is one of the most commonly used transformations in Spark DataFrame. In order to explain I will create the Spark DataFrame with Struct columns val structureData = Seq( Row(Row("James ","","Smith"),Row(Row("CA","Los…
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Open source softwares available for NLP . . . . . . . #Ai #artificialintelligence #artificial_intelliagence #aiforgood #aiforeveryone #aiforever #innomatics #hyderabad #india #aijobs #jobsinAI #datascience #datascientist #python #datavisualization #dataanalytics #datasciencetraining #nltk #structuredata #data #datascientistsinthemaking #datascienceeducation #dataengineer #datamining #nlpcoaching #nlp #gensim #opennlp #opensource #stanford
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How to Add Rich Snippets in your WordPress without plugin and any of the Website.
#wordpressdesign #wordpress #wordpressdeveloper #website #wordpresswebsite #webdesign #wordpresstheme #websitedesign #wordpressplugin #wordpressthemes #webdesigner #wordpressblog #websitedevelopment #responsivewebsite #ecommercewebsite #ecommercebusiness #frontenddeveloper #wordpresswebsites #woocommerce #ecommerceplatform #webdevelopment #websitebuilder
#structuredata #structuredatatestingtool
#structuredatamarckuphelper
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I Will Advance Rich Snippets, Schema Markup, Structured Data Code
#Richsnippets #rich #snippets #google #rich snippets #schema markup #SEO #Schema #Schema Markup #datamarkup #Richsnippets #Schemamarkup #structuredata #Jsonld #Richcard #Datamarkup #Microdata
https://www.fiverr.com/zaker88/advance-rich-snippets-schema-markup-structured-data-code?context_referrer=gig_page&source=other_gigs_by&ref_ctx_id=ba778ba3-d819-4b5c-948b-2f6752be7f71&pckg_id=1&pos=1&seller_online=true
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How to Implement Job Posting Schema in WordPress without a Plugin Article Link https://www.linkedin.com/pulse/how-implement-job-posting-schema-wordpress-without-plugin-junaid/ #schema #wordpress #richsnippet #richsnippets #structuredata #googlesearchconsole #googlesearch #googleseo #seo #job #jobposting #jobpostingsite #filectory https://www.instagram.com/p/BzK1G3rlui7/?igshid=1bxq16ugogqu
#schema#wordpress#richsnippet#richsnippets#structuredata#googlesearchconsole#googlesearch#googleseo#seo#job#jobposting#jobpostingsite#filectory
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Convert Struct to a Map Type in Spark
Convert Struct to a Map Type in Spark
Let’s say you have the following Spark DataFrame that has StructType (struct) column “properties” and you wanted to convert Struct to Map (MapType) column. val structureData = Seq( Row("36636","Finance",Row(3000,"USA")), Row("40288","Finance",Row(5000,"IND")), Row("42114","Sales",Row(3900,"USA")), Row("39192","Marketing",Row(2500,"CAN")), Row("34534","Sales",Row(6500,"USA")) ) val…
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Important steps in 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 .......#Ai #artificialintelligence #artificial_intelliagence #aiforgood #aiforeveryone #aiforever #innomatics #innomaticshyd #learfrominnomatics #hyderabad #india #aijobs #jobsinAI #datascience #datascientist #python #datavisualization #dataanalytics #datasciencetraining #datacleaning #duplicatedata #structuredata #data #datascientistsinthemaking #datascienceeducation #dataengineer #datamining #nlpcoaching
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How to convert Struct type to Columns in Spark
How to convert Struct type to Columns in Spark
I have a Spark DataFrame with StructType and would like to convert it to Columns, could you please explain how to do it? Converting Struct type to columns is one of the most commonly used transformations in Spark DataFrame. In order to explain I will create the Spark DataFrame with Struct columns val structureData = Seq( Row(Row("James ","","Smith"),Row(Row("CA","Los…
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Convert Struct to a Map Type in Spark
Convert Struct to a Map Type in Spark
Let’s say you have the following Spark DataFrame that has StructType (struct) column “properties” and you wanted to convert Struct to Map (MapType) column. val structureData = Seq( Row("36636","Finance",Row(3000,"USA")), Row("40288","Finance",Row(5000,"IND")), Row("42114","Sales",Row(3900,"USA")), Row("39192","Marketing",Row(2500,"CAN")), Row("34534","Sales",Row(6500,"USA")) ) val…
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Spark - How to drop a column from DataFrame/Dataset
Spark – How to drop a column from DataFrame/Dataset
Spark DataFrame provides a drop() method to drop a column/field from a DataFrame/Dataset. drop() method also used to remove more than one column at a time from a Spark DataFrame/Dataset. In this article, I will explain ways to drop a columns using Scala example.
Related: Drop duplicate rows from DataFrame
First, let’s create a DataFrame
val structureData =…
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