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How did stakeholders use your dashboard?
Stakeholders used the dashboard to track daily pertormance, compare regions, and identify problem areas quickly. It reduced dependency on manual reports.
#DataDigest #DataAnalytics #Beginners
What would you improve if you did the project again?
“I would automate more data refresh processes and include predictive indicators like early warning signals for sales drops."
Interviewers question I guess…
#DataAnalytics #DataDigest #Beginners
Difference between bar chart and line chart?
▫️Bar Chart: Used for comparison between categories
▫️Line Chart: Used for trends over time
💡If time is involved → line chart. If comparison is involved → bar chart.
#DataAnalytics #Beginners #DataDigest
Common visualization mistakes?
▫️Using wrong chart type
▫️Too many colors
▫️No axis labels
▫️Showing everything on one page
💡 Poor visualization can mislead users even if the data is correct.
#DataDigest #DataAnalytics #Beginners
What is a KPI card?
A KPI card displays one critical metric clearly.
▫️Highlighting performance
▫️Comparing actual vs target
💡KPI cards highlight the most important metrics for quick evaluation.
#DataDigest #DataAnalytics #Beginners
Happy Sunday guys❤️
To everyone job hunting,
may today be a day things finally work out for you.
May your efforts be seen.
May the right opportunity find you.
And may you not give up before it happens.
Keep going.
#Datafam #Datadigest #Dataentry #JuniorAnalyst
How do you handle missing data?
Common methods:
✨Remove rows (if few missing)
✨Replace with mean, median, or 0
✨Use forward or backward fill
Example (SQL): SELECT
COALESCE (sales, 0) AS sales FROM orders;
#DataDigest #DataAnalytics #Beginners
How do you treat outliers?
▫️Identify using sorting, box plots, or
Z-score.
▫️Remove or cap extreme values.
Example: Sales = 10,000, 12,000, 15,000, 1,00,000 → outlier.
#DataDigest #DataAnalytics #Beginners
Difference between measure and calculated column?
Calculated columns are calculated row by row, stored in tables, and use memory. Measures are calculated dynamically, used in visuals, and more efficient.
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How do you check data quality?
🔸Accuracy
🔸Completeness
🔸Consistency
🔸Validity
🔸Timeliness
Example: Sales should never be negative.
#DataDigest #DataAnalytics #Beginners
Good morning senior analyst 🙌🏻
What confused you the most when you first started using Power BI?
#Data #DataAnalysis #BuildInPublic
#PowerBI #Datadigest
What are common Excel mistakes analysts make?
🔹Merged cells
🔹Hard-coded values
🔹No pivot tables
🔹Poor formatting
🔹No documentation
#DataDigest #DataAnalytics #Beginners
What is GROUP BY?
GROUP BY groups rows with the same values so aggregate functions can be applied.
Example:
SELECT region, SUM(sales) AS
total_sales
FROM orders
GROUP BY region;
This gives total sales per region.
#DataDigest #DataAnalytics #Beginners
What are Pivot Tables?
Pivot tables summarize large datasets quickly.
Example: Rows → Product, Values→Sum of Sales
Result: Total sales per products in seconds.
#Datadigest #DataAnalytics #LearninginPublic
How do you clean data in Excel?
Remove duplicates, TRIM extra spaces, Fix dates format, Handle blanks.
Example: =TRIM(A2)
#DataDigest #DataAnalytics #LearninginPublic
What is duplicate data?
Same record appearing more than once.
Example: Same customer ID
repeated multiple times.
#DataDigest #DataAnalytics #LearninginPublic #Beginners
I want to start a series on Data analytics. Let’s call it Datadigest. ☺️
What do y’all think about this??
#Datadigest #DataAnalytics #LearningInPublic
🚨 Breaking News: India mandates sale of petrol with up to 20% ethanol from April 1, 2026. Data twist: Already saved ₹1.4 lakh crore in oil imports since 2014 & slashed 700 lakh tonnes of CO2 – but expect a 3-5% hit to your fuel efficiency!
| Follow @Num_Feed_ for #DataDigest updates!
🇮🇳 India's population below international poverty line:
1987: 50%
2004: 39%
2018: 11% Per World Bank data. Remarkable progress! #IndiaPoverty #EconomicGrowth #DataDigest
CertiK data cited: Jan crypto losses ~$370.3M; phishing ~$311.3M; one social-engineering case near $284M. For YWWSDC watchers, the takeaway is trust exploits still scale fast 🧩🔒📌 #CryptoFacts #DataDigest #YWWSDC
https://t.co/AXgyr4PULq
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