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itzizzy

@callmeitzizzy

Data Analyst || Virtual Administrative Assistant ||
Helping Businesses Grow with Data Insights & Organized Support. ⚽AcMilan🔴⚫

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linkhttps://linktr.ee/jacobatiku calendar_today26-12-2019 20:25:46

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Hello, LinkedIn Help why is my account being restricted for no reason? I haven't done any wrong, at least none that I know of. Please I need my account back.

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TROUBLE IN PARADISE! As Carter Efe and his baby mama Emmanuella blocks and unfollows themselves on IG. This is a screenshot of the message Carter Efe sent to her this morning

TROUBLE IN PARADISE! As Carter Efe and his baby mama Emmanuella blocks and unfollows themselves on IG. This is a screenshot of the message Carter Efe sent to her this morning
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DATA ANALYSIS 🔥 How to merge tables on different platforms : • SQL - JOIN • Python - df.merge • Excel - Power Pivot • Power BI - Data Modelling

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DID YOU KNOW : You can join tables with append on Excel. Either directly or through Power Query But the Tables must have the same column headers (in title) and number. If not, there's the Merge function too.

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Newbies! Learn excel like this 👇 1) Cover up the most used formulas SUMIFS VLOOKUP XLOOKUP IFS IF COUNTIFS SUMIF COUNTIF INDEX MATCH COMBINATION OF INDEX MATCH CONCATENATE LEFT RIGHT PLAY WITH DATE FORMATS

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If you have ever used VLOOKUP or XLOOKUP in Excel to pull data from one sheet into another, then you have already touched the concept of JOINS in SQL without even knowing it. VLOOKUP/XLOOKUP is similar to joins in SQL. They both use a common identifier to pull data.

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In today’s digital music era, understanding listening patterns is crucial for both users and streaming platforms. This analysis focuses on Spotify Albums Data, providing insights into user engagement with albums over time.

In today’s digital music era, understanding listening patterns is crucial for both users and streaming platforms. This analysis focuses on Spotify Albums Data, providing insights into user engagement with albums over time.
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Data Analysis is not just about building beautiful Dashboards!! Process Flow in Data Analysis 1. Define the Objective 2. Collect Data 3. Clean and Prepare Data 4. Explore the Data 5. Perform Data Analysis 6. Interpret Results 7. Communicate Insights 8. Take Action and Monitor