vasgat
/ wikirate_answer_export.py
Last active
September 20, 2024 17:56
This script interacts with the WikiRate API to retrieve metrics and answers based on specific keywords and corporate identifiers, and then saves the gathered data to a CSV file.
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| from itertools import islice | |
| from wikirate4py import API, Cursor, to_dataframe | |
| # splits a list into chunks of a given size | |
| def chunked_iterable(iterable, size): | |
| iterable = iter(iterable) | |
| return iter(lambda: list(islice(iterable, size)), []) |
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v5.json", | |
| "description": "A beeswarm chart example that uses a force-directed layout to group items by category.", | |
| "width": 950, | |
| "height": 400, | |
| "padding": {"left": 5, "right": 5, "top": 0, "bottom": 30}, | |
| "background": "#ffefd9", | |
| "autosize": "none", | |
| "config": {"axis": {"labelFontSize": 15, "labelFont": "GothamNarrow"}}, | |
| "signals": [ |
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v5.json", | |
| "description": "A beeswarm chart example that uses a force-directed layout to group items by category.", | |
| "width": 950, | |
| "height": 400, | |
| "padding": {"left": 5, "right": 5, "top": 0, "bottom": 30}, | |
| "background": "#ffefd9", | |
| "autosize": "none", | |
| "config": {"axis": {"labelFontSize": 15, "labelFont": "GothamNarrow"}}, | |
| "signals": [ |
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v5.json", | |
| "description": "A basic line chart example.", | |
| "width": 500, | |
| "height": 200, | |
| "padding": 5, | |
| "signals": [{"name": "interpolate", "value": "cardinal"}], | |
| "title": { | |
| "text": "Apparel Top 100 Companies Reporting their Suppliers.", | |
| "subtitle": "Number of Apparel Top 100 Companies making their list of suppliers publicly available over the years.", |
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| function histogramChart(color_value, title, xAxisTitle, yAxisTitle, num_of_of_bins) { | |
| var margin = {top: 30, right: 40, bottom: 50, left: 50}, | |
| width = 460, | |
| height = 300; | |
| var histogram = d3.layout.histogram(), | |
| x = d3.scale.ordinal(), | |
| y = d3.scale.linear(), | |
| xAxis = d3.svg.axis().scale(x).orient("bottom").tickSize(6, 0), | |
| yAxis = d3.svg.axis() |