root: 2025-05-21 14:10:34 | INFO | Table 5.py:58 | 58500 >>> This is logging file of creating Table 5.
root: 2025-05-21 14:11:01 | INFO | Table 5.py:118 | 58500 >>> 
\begin{tabular}{lllllll}
\toprule
 & count & mean & median & std & min & max \\
\midrule
Climate Tweet (incl. promotion) & 3,137,468 & 0.0150 & 0.0000 & 0.1207 & 0.0000 & 1.0000 \\
Climate Tweet & 3,137,468 & 0.0128 & 0.0000 & 0.1117 & 0.0000 & 1.0000 \\
Hard Climate Tweet & 3,137,468 & 0.0055 & 0.0000 & 0.0739 & 0.0000 & 1.0000 \\
Soft Climate Tweet & 3,137,468 & 0.0073 & 0.0000 & 0.0848 & 0.0000 & 1.0000 \\
Promotion Tweet & 3,137,468 & 0.0022 & 0.0000 & 0.0468 & 0.0000 & 1.0000 \\
Nonclimate Tweet & 3,137,468 & 0.4878 & 0.0000 & 0.4999 & 0.0000 & 1.0000 \\
ClimateIncident {[}-3,0{]} & 3,137,468 & 0.0101 & 0.0000 & 0.0997 & 0.0000 & 1.0000 \\
ClimateIncident {[}-7,-4{]} & 3,137,468 & 0.0101 & 0.0000 & 0.0997 & 0.0000 & 1.0000 \\
OtherESGIncident {[}-3,0{]} & 3,137,468 & 0.0221 & 0.0000 & 0.1455 & 0.0000 & 1.0000 \\
OtherESGIncident {[}-7,-4{]} & 3,137,468 & 0.0220 & 0.0000 & 0.1453 & 0.0000 & 1.0000 \\
ESG DisclosureScore & 3,137,468 & 0.2239 & 0.0000 & 0.3229 & 0.0000 & 0.9960 \\
ESG Report & 3,137,468 & 0.3325 & 0.0000 & 0.4787 & 0.0000 & 1.0000 \\
ESG Report Unassured & 3,137,468 & 0.2411 & 0.0000 & 0.4294 & 0.0000 & 1.0000 \\
ESG Report Assured & 3,137,468 & 0.0915 & 0.0000 & 0.2949 & 0.0000 & 1.0000 \\
Prior5DReturn & 3,137,468 & 0.0001 & 0.0000 & 0.0098 & -0.0536 & 0.0600 \\
Filings 10-K & 3,137,468 & 0.0031 & 0.0000 & 0.0551 & 0.0000 & 1.0000 \\
Filings 10-Q & 3,137,468 & 0.0083 & 0.0000 & 0.0906 & 0.0000 & 1.0000 \\
Filings 8-K & 3,137,468 & 0.0350 & 0.0000 & 0.1816 & 0.0000 & 1.0000 \\
lnat_w & 3,137,468 & 8.3102 & 8.2747 & 1.8528 & 3.2270 & 14.0853 \\
btm_w & 3,137,468 & 0.4544 & 0.3779 & 0.4085 & -1.0734 & 6.3281 \\
roa_w & 3,137,468 & 0.0092 & 0.0330 & 0.1587 & -1.1831 & 0.2878 \\
lev_w & 3,137,468 & 0.3695 & 0.3694 & 0.2563 & -0.7186 & 0.9389 \\
\bottomrule
\end{tabular}

root: 2025-05-21 14:11:01 | INFO | Table 5.py:128 | 58500 >>> 
\begin{tabular}{lllllll}
\toprule
 & count & mean & median & std & min & max \\
\midrule
ClimateIncident & 3,137,468 & 0.0028 & 0.0000 & 0.0527 & 0.0000 & 1.0000 \\
Nonclimate Incident & 3,137,468 & 0.0067 & 0.0000 & 0.0816 & 0.0000 & 1.0000 \\
Low ClimateIncident Influence {[}-3,0{]} & 3,137,468 & 0.0048 & 0.0000 & 0.0688 & 0.0000 & 1.0000 \\
Low ClimateIncident Influence {[}-7,-4{]} & 3,137,468 & 0.0048 & 0.0000 & 0.0687 & 0.0000 & 1.0000 \\
Medium ClimateIncident Influence {[}-3,0{]} & 3,137,468 & 0.0050 & 0.0000 & 0.0701 & 0.0000 & 1.0000 \\
Medium ClimateIncident Influence {[}-7,-4{]} & 3,137,468 & 0.0050 & 0.0000 & 0.0701 & 0.0000 & 1.0000 \\
High ClimateIncident Influence {[}-3,0{]} & 3,137,468 & 0.0009 & 0.0000 & 0.0307 & 0.0000 & 1.0000 \\
High ClimateIncident Influence {[}-7,-4{]} & 3,137,468 & 0.0009 & 0.0000 & 0.0307 & 0.0000 & 1.0000 \\
\bottomrule
\end{tabular}

root: 2025-05-21 14:11:02 | INFO | Table 5.py:169 | 58500 >>> 
\begin{tabular}{lll}
\toprule
Business classification & No. of incidents & Freq. of incidents \\
\midrule
Energy & 2,788 & 31.83% \\
Utilities & 1,402 & 16.01% \\
Consumer Non-Cyclicals & 1,351 & 15.43% \\
Consumer Cyclicals & 830 & 9.48% \\
Financials & 782 & 8.93% \\
Basic Materials & 629 & 7.18% \\
Industrials & 536 & 6.12% \\
Technology & 235 & 2.68% \\
Healthcare & 177 & 2.02% \\
Real Estate & 27 & 0.31% \\
Academic & Educational Services & 1 & 0.01% \\
\bottomrule
\end{tabular}

root: 2025-05-21 14:11:02 | INFO | Table 5.py:171 | 58500 >>> Table completed
