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Calculate GDP-weighted mean of net exports as % of GDP using SUMPRODUCT in Excel, including all supporting statistics (min, max, median, percentiles).
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Handles reading, populating, and saving .docx files using the python-docx library. Use this skill for any tasks involving template filling or modifying Word documents.
Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
This skill includes search capability in 13F, such as fuzzy search a fund information using possibly inaccurate name, or fuzzy search a stock cusip info using its name.
基于 SOC 职业分类
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| name | run2_excel-sumproduct |
| description | Calculate GDP-weighted mean of net exports as % of GDP using SUMPRODUCT in Excel, including all supporting statistics (min, max, median, percentiles). |
=ROUND((H12 - H19) / H26 * 100, 1)
H12 = Exports; H19 = Imports; H26 = GDP| Step 2 Row | Country | Exports Row | Imports Row | GDP Row |
|---|---|---|---|---|
| 35 | UAE | 12 | 19 | 26 |
| 36 | Bahrain | 13 | 20 | 27 |
| 37 | Kuwait | 14 | 21 | 28 |
| 38 | Qatar | 15 | 22 | 29 |
| 39 | Oman | 16 | 23 | 30 |
| 40 | Saudi Arabia | 17 | 24 | 31 |
All statistics use the net exports % range for that year column:
Row 42 (min): =ROUND(MIN(H35:H40), 1)
Row 43 (max): =ROUND(MAX(H35:H40), 1)
Row 44 (median): =ROUND(MEDIAN(H35:H40), 1)
Row 45 (mean): =ROUND(AVERAGE(H35:H40), 1)
Row 46 (P25): =ROUND(PERCENTILE(H35:H40, 0.25), 1)
Row 47 (P75): =ROUND(PERCENTILE(H35:H40, 0.75), 1)
=ROUND(SUMPRODUCT(H35:H40, H26:H31) / SUM(H26:H31), 1)
H35:H40 = net exports % (already × 100)H26:H31 = GDP weightsSUMPRODUCT(pct, GDP) / SUM(GDP) = weighted averageWeighted Mean = Σ(pct_i × GDP_i) / Σ(GDP_i)
= Σ((Exports_i - Imports_i) / GDP_i × 100 × GDP_i) / Σ(GDP_i)
= Σ(Exports_i - Imports_i) × 100 / Σ(GDP_i)
cols = ['H', 'I', 'J', 'K', 'L']
# Net exports % per country
for i in range(6):
row = 35 + i
for col in cols:
task[f'{col}{row}'] = f'=ROUND(({col}{12+i}-{col}{19+i})/{col}{26+i}*100,1)'
# Statistics
for col in cols:
task[f'{col}42'] = f'=ROUND(MIN({col}35:{col}40),1)'
task[f'{col}43'] = f'=ROUND(MAX({col}35:{col}40),1)'
task[f'{col}44'] = f'=ROUND(MEDIAN({col}35:{col}40),1)'
task[f'{col}45'] = f'=ROUND(AVERAGE({col}35:{col}40),1)'
task[f'{col}46'] = f'=ROUND(PERCENTILE({col}35:{col}40,0.25),1)'
task[f'{col}47'] = f'=ROUND(PERCENTILE(35:40,0.75),1)'
col cols:
task[] =