Firstly go through this qn pyq of my university

Screenshot_2026-05-18-21-15-50-88_6431dcd7adc47d9b8b1ef172f656a796.jpg

Asking for Preferences

Can u make a chart in decreasing order of importance one column for topic one is subtopic one is for the qn came from it

Reading File

Running Command

mkdir -p /home/daytona/workspace/pyq-chart && ls /home/daytona/workspace/pyq-cha…

Writing File

~/pyq-chart/build_chart.py


from openpyxl import Workbook
from openpyxl.styles import (Font, PatternFill, Alignment, Border, Side,
                              GradientFill)
from openpyxl.utils import get_column_letter

wb = Workbook()
ws = wb.active
ws.title = "PYQ Priority Chart"

# ─── Color palette ───────────────────────────────────────────────────
HEADER_BG   = "1F4E79"   # deep blue
HEADER_FG   = "FFFFFF"
RANK1_BG    = "C00000"   # dark red  – must-do
RANK2_BG    = "E36C09"   # orange    – very important
RANK3_BG    = "9BBB59"   # green     – important
RANK4_BG    = "4BACC6"   # teal      – moderate
SUBHD_BG    = "D9E1F2"   # light blue for subtopic rows
ALT_BG      = "F2F2F2"   # light grey alternate

def cell_style(ws, row, col, value, bold=False, bg=None, fg="000000",
               wrap=True, size=10, halign="left", valign="center", border=True):
    c = ws.cell(row=row, column=col, value=value)
    c.font = Font(name="Arial", bold=bold, color=fg, size=size)
    if bg:
        c.fill = PatternFill("solid", start_color=bg)
    c.alignment = Alignment(horizontal=halign, vertical=valign, wrap_text=wrap)
    if border:
        thin = Side(style="thin", color="BFBFBF")
        c.border = Border(left=thin, right=thin, top=thin, bottom=thin)
    return c

# ─── DATA ─────────────────────────────────────────────────────────────
# Each entry: (rank, topic, subtopic, questions_list, times_asked, years)
# Rank 1 = highest importance

data = [
    # ══════════ RANK 1 – MOST REPEATED (5+ times) ══════════
    (1, "Levels of Prevention & Natural History of Disease",
     "Levels of Prevention (primary/secondary/tertiary/primordial)",
     [
         "Enumerate levels of prevention; apply to diabetes mellitus (2022 Supple P1)",
         "Natural history of disease + stages + prevention application (2022 P1)",
         "Differences between disease control, elimination, eradication; levels of prevention & modes of intervention (2019 Supple)",
         "Primordial prevention is a subset of primary prevention – E/W (2025 Supple P1, 2015 P2, 2020 P1)",
         "Differences between primordial & primary prevention – E/W (2020 P1)",
     ],
     6, "2019–2025"),

    (1, "Levels of Prevention & Natural History of Disease",
     "Natural History of Disease (stages, iceberg relation)",
     [
         "Natural history of disease – stages + suitable illustration + prevention stages (2022 P1)",
         "Differences: disease control vs elimination vs eradication; levels of prevention in NHD (2019 Supple)",
         "Man viewed as 'agent' of his own disease – E/W (2019 Supple)",
     ],
     3, "2019–2022"),

    (1, "Iceberg Phenomenon of Disease",
     "Iceberg Phenomenon – significance of submerged portion & strategies",
     [
         "Describe iceberg phenomenon; significance of submerged portion; strategies under national programmes (2024 Supple P1)",
         "Iceberg phenomenon of disease – S/N (2019 P1, 2013 Supple)",
         "We need to be more careful about the hidden part of the iceberg – E/W (2022 P1)",
     ],
     4, "2013–2024"),

    # ══════════ RANK 2 – VERY IMPORTANT (3–4 times) ══════════
    (2, "Determinants of Health",
     "Determinants of Health (environmental, socio-economic, health services)",
     [
         "Enumerate determinants of health; environmental & socio-economic conditions (2023 P1, 2011 P1)",
         "Enumerate determinants; how health services act as determinant (2015 Supple)",
         "Define Health; enumerate indicators of Health; 'Health for All'? (2020 P1)",
     ],
     3, "2011–2023"),

    (2, "Indicators of Health & Mortality",
     "Health Indicators – morbidity, mortality, disability",
     [
         "Characteristics of ideal indicator; morbidity indicators; IMR & CFR (2018 P1)",
         "Ideal health indicator; mortality indicators; measures to reduce one; SMR in detail (2012 Supple, 2018 Supple)",
         "Indicators of health; disability rates with examples; concept of disability limitation (2015 P1, 2025 Supple P1)",
     ],
     4, "2012–2025"),

    (2, "Indicators of Health & Mortality",
     "Standardised Mortality Ratio (SMR)",
     [
         "Detailed description of SMR (2012 Supple, 2018 Supple)",
         "Measures taken to reduce a mortality indicator (detailed) (2012 Supple)",
     ],
     2, "2012–2018"),

    (2, "Indicators of Health & Mortality",
     "DALY (Disability-Adjusted Life Year)",
     [
         "DALY – S/N (2017 P1, 2014 P1)",
     ],
     2, "2014–2017"),

    (2, "Monitoring & Surveillance",
     "Monitoring vs Surveillance (differentiation)",
     [
         "Differentiate monitoring and surveillance; AFP surveillance – rationale & process in Polio eradication India (2025 Supple P1)",
         "Monitoring and surveillance are different in public health – E/W (2023 P1, 2020 P1, 2015 Supple)",
         "Sentinel surveillance – S/N (2011 Supple)",
     ],
     4, "2011–2025"),

    # ══════════ RANK 3 – IMPORTANT (2 times) ══════════
    (3, "Risk Factors & Causation",
     "Risk Factors – definition, types, relation to agent factors",
     [
         "Risk factors of CHD; preventive strategies of CHD (2012 P1, 2016 Supple)",
         "Risk factors vs agent factors; intervention strategy; risk factors of a disease (2014 Supple)",
         "Risk factors of coronary heart disease – S/N (2013 Supple)",
         "Name 4 NCDs of public health importance; risk factors & preventive measures of any one NCD (2022 P1)",
     ],
     4, "2012–2022"),

    (3, "Risk Factors & Causation",
     "Multifactorial Causation of Disease",
     [
         "Multifactorial causation of disease with suitable examples (2013 P1)",
         "Multifactorial causation of disease – S/N (2017 Supple)",
     ],
     2, "2013–2017"),

    (3, "Definition & Concept of Health",
     "Definition of Health (WHO & its defects)",
     [
         "Define Health; enumerate various indicators of Health; 'Health for All'? (2020 P1)",
         "WHO definition of 'Health' has defects – Explain (2012 P1)",
         "The word disability and handicap are not synonymous – E/W (2024 Supple P1, 2013 Supple)",
     ],
     3, "2012–2024"),

    (3, "Human Development Index (HDI)",
     "HDI – components & significance",
     [
         "Human Development Index (HDI) – S/N (2022 P1, 2011 P1)",
     ],
     2, "2011–2022"),

    # ══════════ RANK 4 – MODERATE (1 time) ══════════
    (4, "Rehabilitation",
     "Rehabilitation – concept & types",
     [
         "Rehabilitation – S/N (2012 Supple)",
     ],
     1, "2012"),

    (4, "Occupational Health",
     "Occupational Cancer",
     [
         "Occupational cancer – S/N (2019 Supple)",
     ],
     1, "2019"),
]

# ─── COLUMN CONFIG ────────────────────────────────────────────────────
COL_RANK   = 1
COL_TOPIC  = 2
COL_SUB    = 3
COL_QNS    = 4
COL_COUNT  = 5
COL_YEARS  = 6

ws.column_dimensions[get_column_letter(COL_RANK)].width  = 8
ws.column_dimensions[get_column_letter(COL_TOPIC)].width = 30
ws.column_dimensions[get_column_letter(COL_SUB)].width   = 35
ws.column_dimensions[get_column_letter(COL_QNS)].width   = 65
ws.column_dimensions[get_column_letter(COL_COUNT)].width = 12
ws.column_dimensions[get_column_letter(COL_YEARS)].width = 14

# ─── TITLE ROW ────────────────────────────────────────────────────────
ws.merge_cells("A1:F1")
t = ws["A1"]
t.value = "CONCEPT OF HEALTH & DISEASE  –  PYQ PRIORITY CHART  (Decreasing Order of Importance)"
t.font = Font(name="Arial", bold=True, color="FFFFFF", size=13)
t.fill = PatternFill("solid", start_color=HEADER_BG)
t.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
ws.row_dimensions[1].height = 32

# ─── HEADER ROW ───────────────────────────────────────────────────────
headers = ["Priority\nRank", "Topic", "Subtopic / Focus Area",
           "Questions Asked (Year)", "Times\nAsked", "Year Range"]
for col, h in enumerate(headers, start=1):
    cell_style(ws, 2, col, h, bold=True, bg=HEADER_BG, fg=HEADER_FG,
               size=10, halign="center")
ws.row_dimensions[2].height = 30

# ─── RANK LABEL COLOURS ───────────────────────────────────────────────
RANK_COLOUR = {1: RANK1_BG, 2: RANK2_BG, 3: RANK3_BG, 4: RANK4_BG}
RANK_LABEL  = {
    1: "★★★★\nMUST DO",
    2: "★★★\nVERY IMP",
    3: "★★\nIMPORTANT",
    4: "★\nMODERATE",
}

# ─── DATA ROWS ────────────────────────────────────────────────────────
row = 3
prev_rank = None

for rank, topic, subtopic, qns_list, count, years in data:
    bg = RANK_COLOUR[rank]
    qns_text = "\n".join(f"• {q}" for q in qns_list)

    # Rank cell
    cell_style(ws, row, COL_RANK, RANK_LABEL[rank],
               bold=True, bg=bg, fg="FFFFFF", halign="center", size=9)
    # Topic
    cell_style(ws, row, COL_TOPIC, topic,
               bold=True, bg=SUBHD_BG if rank >= 3 else "FFF2CC",
               halign="left", size=10)
    # Subtopic
    cell_style(ws, row, COL_SUB, subtopic,
               bold=False, bg="FFFFFF", halign="left", size=9)
    # Questions
    cell_style(ws, row, COL_QNS, qns_text,
               bold=False, bg="FFFFFF", halign="left", size=9)
    # Count
    cell_style(ws, row, COL_COUNT, count,
               bold=True, bg=bg, fg="FFFFFF", halign="center", size=11)
    # Years
    cell_style(ws, row, COL_YEARS, years,
               bold=False, bg="FFFFFF", halign="center", size=9)

    # Row height based on number of questions
    ws.row_dimensions[row].height = max(40, len(qns_list) * 20)
    row += 1

# ─── LEGEND ───────────────────────────────────────────────────────────
row += 1
ws.merge_cells(f"A{row}:F{row}")
leg = ws[f"A{row}"]
leg.value = "LEGEND:   ★★★★ MUST DO = appeared 4–6+ times  |  ★★★ VERY IMP = appeared 3–4 times  |  ★★ IMPORTANT = appeared 2 times  |  ★ MODERATE = appeared once"
leg.font = Font(name="Arial", bold=True, size=9, color="1F4E79")
leg.fill = PatternFill("solid", start_color="DEEAF1")
leg.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
ws.row_dimensions[row].height = 22

# ─── FREEZE PANES ─────────────────────────────────────────────────────
ws.freeze_panes = "A3"

# ─── SAVE ─────────────────────────────────────────────────────────────
out = "/home/daytona/workspace/pyq-chart/Health_Disease_PYQ_Priority.xlsx"
wb.save(out)
print(f"Saved: {out}")

Running Command

cd /home/daytona/workspace/pyq-chart && python build_chart.py

Editing File

~/pyq-chart/build_chart.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/pyq-chart/build_chart.py'

Running Command

cd /home/daytona/workspace/pyq-chart && python build_chart.py

Running Command

python3 -c "import xlsxwriter; print('xlsxwriter ok')"

Running Command

python3 -c " from openpyxl import Workbook wb = Workbook() ws = wb.active ws['A1…

Running Command

python3 --version && pip show openpyxl | grep Version

Running Command

python3 -c "import pandas; print(pandas.__version__)"

Running Command

python3 -c " import pandas as pd df = pd.DataFrame({'test':['a','b']}) df.to_exc…

Running Command

which libreoffice && libreoffice --version

Writing File

~/pyq-chart/build_csv.py

import csv

rows = [
    # header
    ["Priority Rank", "Times Asked", "Year Range", "Topic", "Subtopic / Focus Area", "Questions Asked (Year)"],

    # RANK 1 – MUST DO
    ["★★★★ MUST DO", "6", "2019–2025",
     "Levels of Prevention & Natural History of Disease",
     "Levels of Prevention (primary / secondary / tertiary / primordial)",
     "• Enumerate levels of prevention; apply to diabetes mellitus (2022 Supple P1)\n• Natural history of disease + stages + prevention application (2022 P1)\n• Differences: disease control vs elimination vs eradication; levels of prevention & modes of intervention (2019 Supple)\n• Primordial prevention is a subset of primary prevention – E/W (2025 Supple P1, 2015 P2, 2020 P1)\n• Differences between primordial & primary prevention – E/W (2020 P1)"],

    ["★★★★ MUST DO", "4", "2013–2024",
     "Iceberg Phenomenon of Disease",
     "Iceberg Phenomenon – significance of submerged portion & strategies",
     "• Describe iceberg phenomenon; significance of submerged portion; strategies under national programmes (2024 Supple P1)\n• Iceberg phenomenon of disease – S/N (2019 P1, 2013 Supple)\n• We need to be more careful about the hidden part of the iceberg – E/W (2022 P1)"],

    ["★★★★ MUST DO", "3", "2019–2022",
     "Levels of Prevention & Natural History of Disease",
     "Natural History of Disease (stages, relation to prevention)",
     "• Natural history of disease – stages + suitable illustration + prevention stages (2022 P1)\n• Differences: disease control vs elimination vs eradication; levels of prevention in NHD (2019 Supple)\n• Man viewed as 'agent' of his own disease – E/W (2019 Supple)"],

    # RANK 2 – VERY IMPORTANT
    ["★★★ VERY IMP", "4", "2012–2025",
     "Indicators of Health & Mortality",
     "Health Indicators – morbidity, mortality, disability indicators",
     "• Characteristics of ideal indicator; morbidity indicators; IMR & CFR (2018 P1)\n• Ideal health indicator; mortality indicators; measures to reduce one; SMR in detail (2012 Supple, 2018 Supple)\n• Indicators of health; disability rates with examples; disability limitation (2015 P1, 2025 Supple P1)"],

    ["★★★ VERY IMP", "4", "2011–2025",
     "Monitoring & Surveillance",
     "Monitoring vs Surveillance (differentiation) + AFP Surveillance",
     "• Differentiate monitoring and surveillance; AFP surveillance – rationale & process in Polio eradication India (2025 Supple P1)\n• Monitoring and surveillance are different – E/W (2023 P1, 2020 P1, 2015 Supple)\n• Sentinel surveillance – S/N (2011 Supple)"],

    ["★★★ VERY IMP", "3", "2011–2023",
     "Determinants of Health",
     "Determinants of Health (environmental, socio-economic, health services)",
     "• Enumerate determinants; environmental & socio-economic conditions (2023 P1, 2011 P1)\n• Enumerate determinants; how health services act as determinant (2015 Supple)\n• Define Health; enumerate indicators; 'Health for All'? (2020 P1)"],

    ["★★★ VERY IMP", "2", "2012–2018",
     "Indicators of Health & Mortality",
     "Standardised Mortality Ratio (SMR)",
     "• Detailed description of SMR (2012 Supple, 2018 Supple)\n• Measures taken to reduce a mortality indicator (2012 Supple)"],

    ["★★★ VERY IMP", "2", "2014–2017",
     "Indicators of Health & Mortality",
     "DALY (Disability-Adjusted Life Year)",
     "• DALY – S/N (2017 P1, 2014 P1)"],

    # RANK 3 – IMPORTANT
    ["★★ IMPORTANT", "4", "2012–2022",
     "Risk Factors & Causation",
     "Risk Factors – definition, types, CHD, vs agent factors",
     "• Risk factors of CHD; preventive strategies of CHD (2012 P1, 2016 Supple)\n• Risk factors vs agent factors; intervention strategy (2014 Supple)\n• Risk factors of coronary heart disease – S/N (2013 Supple)\n• Name 4 NCDs of public health importance; risk factors & preventive measures (2022 P1)"],

    ["★★ IMPORTANT", "3", "2012–2024",
     "Definition & Concept of Health",
     "Definition of Health (WHO & its defects); disability vs handicap",
     "• Define Health; enumerate indicators; 'Health for All'? (2020 P1)\n• WHO definition of 'Health' has defects – Explain (2012 P1)\n• The word disability and handicap are not synonymous – E/W (2024 Supple P1, 2013 Supple)"],

    ["★★ IMPORTANT", "2", "2013–2017",
     "Risk Factors & Causation",
     "Multifactorial Causation of Disease",
     "• Multifactorial causation of disease with suitable examples (2013 P1)\n• Multifactorial causation of disease – S/N (2017 Supple)"],

    ["★★ IMPORTANT", "2", "2011–2022",
     "Human Development Index (HDI)",
     "HDI – components & significance",
     "• Human Development Index (HDI) – S/N (2022 P1, 2011 P1)"],

    # RANK 4 – MODERATE
    ["★ MODERATE", "1", "2012",
     "Rehabilitation",
     "Rehabilitation – concept & types",
     "• Rehabilitation – S/N (2012 Supple)"],

    ["★ MODERATE", "1", "2019",
     "Occupational Health",
     "Occupational Cancer",
     "• Occupational cancer – S/N (2019 Supple)"],
]

out = "/home/daytona/workspace/pyq-chart/Health_Disease_PYQ_Priority.csv"
with open(out, "w", newline="", encoding="utf-8") as f:
    w = csv.writer(f)
    w.writerows(rows)
print(f"CSV saved: {out}")

Running Command

cd /home/daytona/workspace/pyq-chart && python3 build_csv.py && libreoffice --he…

Running Command

libreoffice --headless --convert-to xlsx --outdir /tmp/ /home/daytona/workspace/…

Running Command

cp /tmp/Health_Disease_PYQ_Priority.xlsx /home/daytona/workspace/pyq-chart/Healt…

Running Command

python3 -c " import zipfile, xml.dom.minidom with zipfile.ZipFile('/home/daytona…

The XLSX is valid. Here's your download:

📥
Health Disease PYQ Priority
Spreadsheet · XLSX

What's in the chart (14 rows, 6 columns):

Column	Content
Priority Rank	★★★★ MUST DO → ★ MODERATE
Times Asked	Number of times that subtopic appeared across all groups
Year Range	Earliest to latest year it appeared
Topic	Broad subject (e.g., Levels of Prevention)
Subtopic / Focus Area	Specific angle examined
Questions Asked (Year)	Every actual question with year & paper code

Summary of Priority Order:

Rank	Topic	Times
★★★★	Levels of Prevention (incl. primordial)	6
★★★★	Iceberg Phenomenon	4
★★★★	Natural History of Disease	3
★★★	Health Indicators / IMR / SMR / Disability	4
★★★	Monitoring vs Surveillance / AFP	4
★★★	Determinants of Health	3
★★	Risk Factors / CHD / NCD	4
★★	Definition of Health / WHO defects	3
★★	Multifactorial Causation / HDI / DALY	2 each
★	Rehabilitation / Occupational Cancer	1 each

Top 3 areas to focus on: Levels of Prevention, Iceberg Phenomenon, and Health Indicators — they've appeared almost every year across every group (A, B, C, D).

Actually I just wanted u to be my coach for upcoming viva so in purpose of viva from which topic should I start from to build conceptual clarity

Got it — viva coach mode.

For conceptual clarity, you don't start with what's most repeated. You start with what everything else builds on. Here's the logical sequence:

🎯 Build Concepts in This Order

STEP 1 — Definition & Concept of Health (Foundation)

If you can't define health properly, nothing else makes sense.

WHO definition → its 3 dimensions → its defects
"Health for All" concept
Disability vs Handicap distinction
This takes 30 mins max but anchors everything

STEP 2 — Determinants of Health (Why do people fall sick?)

Understand what influences health before studying disease

Biological, environmental, socio-economic, health services
Examiner loves asking "how does X act as a determinant?"

STEP 3 — Natural History of Disease + Iceberg (Core conceptual backbone)

This is the single most important conceptual block

4 stages of NHD (susceptibility → presymptomatic → clinical → outcome)
Iceberg = NHD applied to population level (most disease is submerged)
Submerged portion = presymptomatic + undiagnosed cases
National programmes address the submerged part

STEP 4 — Levels of Prevention (Directly flows from NHD)

Each level of prevention maps to a stage in NHD — once you see this, you never forget it

Primordial → Pre-susceptibility (before risk factors develop)
Primary → Susceptibility stage
Secondary → Presymptomatic / early clinical
Tertiary → Advanced clinical / disability
Apply to Diabetes — examiner's favourite example
E/W trap: "Primordial is a subset of primary" → FALSE, they are distinct levels

STEP 5 — Risk Factors & Multifactorial Causation (Bridges NHD to disease)

Risk factors ≠ agent factors — this distinction is frequently asked

Risk factor definition, types
Web of causation (multifactorial)
Apply to CHD (classic exam example)

STEP 6 — Indicators of Health (Measurement tools)

Now that you understand health & disease, how do we measure it?

Ideal indicator characteristics
Morbidity indicators, mortality indicators
IMR, CFR, SMR (SMR is a deep-dive favourite)
DALY, HDI — applied indicators

STEP 7 — Monitoring & Surveillance (How we track health at population level)

Last because it applies all the above concepts at a systems level

Monitoring vs Surveillance (conceptual difference)
AFP surveillance in Polio eradication
Sentinel surveillance

Why This Order?

Health definition
      ↓
What determines health (determinants)
      ↓
How disease develops (NHD + Iceberg)
      ↓
How we prevent it (Levels of prevention)
      ↓
What causes it (Risk factors / multifactorial)
      ↓
How we measure it (Indicators)
      ↓
How we track it (Surveillance)

Each topic feeds into the next. Examiners test conceptual linkages — they'll ask you things like "where does secondary prevention fit in NHD?" or "how does the iceberg relate to surveillance?" — and this order prepares you to connect them naturally.

Want to start with Step 1 right now? I'll quiz you, correct you, and build your answers viva-style. Just say "start" and tell me your current level (read it / not read it yet).

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