Data Interpretation for Banking Mocks | Banking Quant Mastery - Study Chapter | QuizMaker
Read tables, line comparisons, ratios, and percentages efficiently without depending on chart images.
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Course
Banking Quant Mastery: Arithmetic to Data Sufficiency
Topic
Module 5: Data Handling and Decision Technique
Why This Chapter Matters
DI is where arithmetic accuracy and time pressure collide. The job is not just to compute; it is to decide what must be computed and what can be approximated.
Core Ideas
- Read the unit, the base total, and the year labels before solving.
- If options are wide apart, approximation is usually enough.
- Tables often become faster than graphs because every value is explicit.
- Mixed graphs can usually be decomposed into one percentage step and one ratio step.
- Production-ready DI content can convert chart images into text tables without losing the actual logic of the set.
- When percentages are based on a total pool, first convert the pool into absolute values before comparing categories.
- In multi-year tables, identify whether the question needs absolute change, percentage change, ratio, or average before touching the numbers.
High-Value Formulas
| Concept | Formula / Rule |
|---|---|
| Percentage from part and total | parttotal×100\frac{\text{part}}{\text{total}}\times100totalpart×100 |
| Average from grouped values | sum of valuesn\frac{\text{sum of values}}{n}nsum of values |
| Export-import ratio | ratio=exportsimports\text{ratio} = \frac{\text{exports}}{\text{imports}}ratio=importsexports |
| Net difference | deposits−withdrawals\text{deposits}-\text{withdrawals}deposits−withdrawals |
| Weighted category value | total×category %100\text{total}\times\frac{\text{category \%}}{100}total×100category % |
How To Approach Questions
- Mark the exact dataset the question needs.
- Avoid computing unrelated rows or columns.
- When totals are given in percentages, convert them one layer at a time.
- If a graph is missing, restate the usable values in text form before solving.
- If multiple questions use the same set, compute one or two reusable intermediate values once and reuse them.
Worked Examples
Example 1
Prompt: Use a table-based set when the image is not available. Rebuild only the data you need in text form.
Approach: This is the safest production approach for mobile-friendly DI content because it preserves the logic without copying source graphics.
Example 2
Prompt: A ratio chart says company A had export-import ratio 175:100175:100175:100 in a year and imports were later increased by 40%40\%40%. What is the new export-import ratio if exports stay fixed?
Approach: Treat exports as 175x175x175x and imports as 100x100x100x. The increased imports become 140x140x140x, so the new ratio is 175140=1.25\frac{175}{140}=1.25140175=1.25.
Example 3
Prompt: A budget pie is converted into text: salaries 35%35\%35%, rent 25%25\%25%, marketing 20%20\%20% of a total spend of 242424 lakhs. Find the salary spend.
Approach: Salary spend =35%=35\%=35% of 24=8.424=8.424=8.4 lakhs.
Example 4
Prompt: A branch table shows deposits 727272 lakh and withdrawals 545454 lakh. Find the net inflow.
Approach: Net inflow =72−54=18=72-54=18=72−54=18 lakh.
Common Mistakes
- Missing the unit scale such as hundreds, thousands, or crores.
- Doing exact arithmetic when option gaps allow approximation.
- Reading the wrong row because the chart labels were skimmed.
- Mixing enrolled counts with passed counts from different parts of the same set.
- Using a category percentage directly without checking whether it is of the total, of a subgroup, or of the previous year.
Quick Revision
Good DI performance is a mix of selective reading, fast percentage logic, and disciplined approximation.
Tags
- banking quant
- data interpretation
- tables
- charts
- percentages